CN120066175B

CN120066175B - A temperature and humidity control method, controller, system and storage medium

Info

Publication number: CN120066175B
Application number: CN202510535068.8A
Authority: CN
Inventors: 林三朝; 罗永强; 刘文耿
Original assignee: Zhuhai Freeview Science & Technology Co ltd
Current assignee: Zhuhai Freeview Science & Technology Co ltd
Priority date: 2025-04-27
Filing date: 2025-04-27
Publication date: 2025-07-15
Anticipated expiration: 2045-04-27
Also published as: CN120066175A

Abstract

The embodiment of the invention provides a temperature and humidity control method, a controller, a system and a storage medium, wherein the method comprises the steps of automatically acquiring temperature and humidity distribution information of a patient on a sickbed, determining a temperature and humidity comfort range through hospitalization information and preference information, wherein the hospitalization information comprises pathology information and hospitalization environment information, the hospitalization environment information comprises department type information and department environment information, the preference information characterizes regulation preference information obtained through historical temperature and humidity regulation information, comparing the temperature and humidity distribution information with the temperature and humidity comfort range, determining corresponding temperature and humidity regulation information, and regulating a temperature and humidity module of an abnormal temperature and humidity area through the temperature and humidity regulation information, so that the temperature and humidity of the abnormal temperature and humidity area is in the temperature and humidity comfort range. The risk of bedsores of patients caused by abnormal temperature and humidity is avoided, and the patients can better carry out recuperation.

Description

Temperature and humidity control method, controller, system and storage medium

Technical Field

The present invention relates to the field of control technologies, but not limited to, and in particular, to a temperature and humidity control method, a controller, a system, and a storage medium.

Background

In hospitals, nursing homes and many families, a plurality of patients or old people lie for a long time due to various reasons, and the body is always pressed for a long time to obtain bedsores, the common method for avoiding the occurrence of the bedsores in the prior art is to use an inflatable mattress for preventing the bedsores, the surface of the inflatable mattress is in strip-shaped fluctuation, and the function of preventing the bedsores is achieved by utilizing the characteristic that the pressure points of the body are easily transferred by the inflatable mattress.

However, the inflatable mattress is high in price and difficult to maintain, if the inflatable mattress is pricked by a pointed object to form a hole, the inflatable mattress loses the use function, and the inflatable mattress is made of a multi-purpose airtight material, so that heat accumulation is caused, the ambient temperature is increased, the ambient humidity is caused, and bedsores are more likely to occur.

Disclosure of Invention

The following is a summary of the subject matter described in detail herein. This summary is not intended to limit the scope of the claims.

The embodiment of the invention mainly aims to provide a temperature and humidity control method, a controller, a system and a storage medium, which can intelligently regulate and control the temperature and humidity on a patient bed, prevent bedsores and enable patients to better carry out recuperation.

In a first aspect, an embodiment of the present invention provides a temperature and humidity control method, including:

Acquiring temperature and humidity distribution information, wherein the temperature and humidity distribution information represents the temperature and humidity distribution of a patient on each place of a sickbed;

Acquiring hospitalization information and preference information of a patient through a database module, acquiring a historical temperature and humidity adjustment value and adjustment satisfaction corresponding to the historical temperature and humidity adjustment value through the database module, and determining the preference information according to the historical temperature and humidity adjustment value and the adjustment satisfaction, wherein the preference information comprises temperature and humidity adjustment rate preference information and temperature and humidity value preference information;

Determining a temperature and humidity comfort range according to the hospitalization information and the preference information, wherein the temperature and humidity comfort range represents an expected temperature and humidity range of a patient at each position on a sickbed;

comparing the temperature and humidity distribution information with the temperature and humidity comfort range to obtain a first comparison result;

Generating temperature and humidity regulation information under the condition that the first comparison result indicates that an abnormal temperature and humidity area exists on a sickbed of a patient, wherein the abnormal temperature and humidity area indicates that the temperature and humidity is not in the temperature and humidity comfort range;

and adjusting a temperature and humidity module corresponding to the abnormal temperature and humidity area according to the temperature and humidity adjustment information so that the temperature and humidity of the abnormal temperature and humidity area is in the temperature and humidity comfort range.

In some alternative embodiments, the acquiring hospitalization information and preference information of the patient includes:

acquiring the hospitalization information through a database module;

Acquiring a historical temperature and humidity regulation value and regulation satisfaction corresponding to the historical temperature and humidity regulation value through the database module;

And determining the preference information according to the historical temperature and humidity regulation value and the regulation satisfaction, wherein the preference information comprises temperature and humidity regulation rate preference information and temperature and humidity value preference information.

In some optional embodiments, before the acquiring the temperature and humidity distribution information, the method further includes:

Acquiring pressure distribution information of a patient, wherein the pressure distribution information of the patient represents pressure distribution information of the patient at all positions on a sickbed;

comparing the patient pressure distribution information with a preset pressure distribution model in similarity to obtain a patient pressure distribution model, wherein the patient pressure distribution model represents a pressure distribution model with highest similarity to a patient pressure distribution area in the preset pressure distribution model;

and determining body part distribution information according to the patient pressure distribution model, wherein the body part distribution information represents body part information corresponding to each region of a sickbed of a patient.

In some optional embodiments, the acquiring temperature and humidity distribution information includes:

determining a temperature and humidity detection module corresponding to the patient bed according to the body part distribution information;

and detecting temperature and humidity information corresponding to each body part through the temperature and humidity detection module to obtain temperature and humidity distribution information.

In some optional embodiments, the hospitalization information includes pathology information and hospitalization environment information, the hospitalization environment information includes department type information and department environment information, the pathology information characterizes medical information of a patient and/or physiological information acquired by a physiological monitoring module, the determining a temperature and humidity comfort range according to the hospitalization information and preference information includes:

Determining a first temperature and humidity preset range according to the department type information;

Correcting the first temperature and humidity preset range according to the department environment information to obtain a second temperature and humidity preset range;

correcting the second temperature and humidity preset range according to the pathological information to obtain a third temperature and humidity preset range;

And correcting the third temperature and humidity preset range according to the preference information to obtain the temperature and humidity comfort range.

In some alternative embodiments, an interaction module is disposed on the hospital bed, the interaction module including a graphical interface and an operation button, the method further comprising:

Acquiring demand information of a patient through the graphical interface and/or the operation button, wherein the demand information comprises sleep posture adjustment assisting request information, bedding increasing and decreasing request information and temperature and humidity adjustment request information;

And sending the demand information to a monitoring terminal so that medical staff can arrive at a sickbed to carry out sleeping posture adjustment, bedding increase and decrease and/or temperature and humidity adjustment, or sending a confirmation signal to a corresponding sickbed controller through the monitoring terminal, wherein the sickbed controller starts sleeping posture adjustment, bedding increase and decrease and/or temperature and humidity adjustment according to the confirmation signal.

In some optional embodiments, the temperature and humidity module is disposed on a hospital bed, the temperature and humidity module includes a plurality of temperature adjusting units, a plurality of humidity adjusting units and a plurality of supporting units, the temperature adjusting units with the humidity adjusting units are disposed on the supporting units, the temperature and humidity module corresponding to the abnormal temperature and humidity area is adjusted according to the temperature and humidity adjusting information, and the temperature and humidity module includes:

Determining temperature regulation information of one or more temperature regulation units and humidity regulation information of one or more humidity regulation units on a patient bed according to the temperature and humidity regulation information;

Determining a temperature regulation curve of the temperature regulation unit according to the temperature regulation information, wherein the temperature regulation curve represents the regulation rate of the temperature regulation unit at different temperatures;

Determining a humidity regulation curve of the humidity regulation unit according to the humidity regulation information, wherein the humidity regulation curve represents the regulation rate of the humidity regulation unit at different humidity;

And adjusting the temperature adjusting unit according to the temperature adjusting curve, and adjusting the humidity adjusting unit according to the humidity adjusting curve so as to enable the temperature and the humidity of the abnormal temperature and humidity area to be in the temperature and humidity comfort range.

In a second aspect, an embodiment of the present invention provides a controller, including a memory, a processor, and a computer program stored in the memory and capable of running on the processor, where the processor implements the temperature and humidity control method according to the first aspect when executing the computer program.

In a third aspect, an embodiment of the present invention provides a temperature and humidity control system, including the controller related to the second aspect.

In a fourth aspect, a computer storage medium stores computer executable instructions for performing the temperature and humidity control method according to the first aspect.

The method has the advantages that under the condition that an instruction for regulating temperature and humidity is obtained, temperature and humidity distribution information is obtained, the temperature and humidity distribution information represents temperature and humidity distribution of a patient on a sickbed, the hospitalization information comprises pathology information and hospitalization environment information, the hospitalization environment information comprises department type information and department environment information, the pathology information represents medical information of the patient and/or physiological information obtained through a physiological monitoring module, the preference information represents regulation preference information obtained through historical temperature and humidity regulation information, a temperature and humidity comfort range is determined according to the hospitalization information and the preference information, the temperature and humidity comfort range represents an expected temperature and humidity range of the patient on the sickbed, a first comparison result is obtained by comparing the temperature and humidity distribution information with the temperature and humidity comfort range, temperature and humidity regulation information is generated when the first comparison result represents that the patient has an abnormal temperature and humidity region on the sickbed, the abnormal temperature and humidity region represents a temperature and humidity region which is not in the temperature and humidity comfort range, and humidity regulation modules corresponding to the abnormal temperature and humidity region are regulated according to the temperature and humidity regulation information, so that the temperature and humidity region is in the temperature and humidity comfort range. The temperature and humidity distribution information of the patient on the sickbed is automatically acquired, the temperature and humidity comfort range is determined through hospitalization information and preference information, the corresponding temperature and humidity regulation information is determined after the temperature and humidity distribution information is compared with the temperature and humidity comfort range, and the temperature and humidity module in an abnormal temperature and humidity area is regulated through the temperature and humidity regulation information, so that the temperature and humidity in the abnormal temperature and humidity area are in the temperature and humidity comfort range, the risk that the patient is bedsore due to abnormal temperature and humidity is avoided, and the patient can better support. Therefore, the application can intelligently regulate the temperature and humidity on the patient bed, prevent bedsores and enable the patient to better carry out recuperation.

Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.

Drawings

FIG. 1 is a block flow diagram of steps of a temperature and humidity control method according to an embodiment of the present invention;

fig. 2 is a schematic structural diagram of a temperature and humidity adjustment module according to an embodiment of the present invention;

FIG. 3 is a block diagram of an analytical model provided by an embodiment of the present invention;

Fig. 4 is a schematic diagram of a controller according to an embodiment of the present invention.

Reference numeral controller 1000, processor 1100, memory 1200;

bed board 100, ventilation mattress 110, support board 120, through hole 121, air supply device 130, fan 131, humidifying device 140, and dosing device 150.

Detailed Description

The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.

It should be noted that although functional block division is performed in a device diagram and a logic sequence is shown in a flowchart, in some cases, the steps shown or described may be performed in a different order than the block division in the device, or in the flowchart. The terms first, second and the like in the description, in the claims and in the above-described figures, are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order.

In order to solve the problems, the application provides a temperature and humidity control method, a controller, a system and a storage medium.

In the present application, a temperature and humidity control method, a controller, a system and a storage medium are provided, and the detailed description is given one by one in the following embodiments.

As shown in fig. 1, an embodiment of the present invention provides a temperature and humidity control method, including:

s100, acquiring temperature and humidity distribution information, wherein the temperature and humidity distribution information represents the temperature and humidity distribution of a patient at all positions on a sickbed.

The temperature and humidity acquisition module comprises a plurality of distributed temperature and humidity sensors (flexible temperature and humidity sensors can be selected), the temperature and humidity sensors can be bent and folded, the temperature and humidity sensors can be better attached to the surface of a sickbed, such as a coated or printed flexible sensor, can be integrated in articles such as a mattress, a bed sheet and the like, and do not affect the normal use of a patient), and are embedded in the surface layer of the mattress, the inside of a bedspread and preset positions of the head of a bed, the tail of the bed and the side of the bed of the sickbed in an array mode, wherein the specific setting positions of the temperature and humidity sensors are not limited and can be set according to actual requirements. The distance between adjacent sensors is not more than 15 cm, the area which can be possibly contacted by a patient is ensured to be covered on the whole, the sensors have high-precision measurement capability, the temperature measurement precision can reach +/-0.3 ℃, the humidity measurement precision can reach +/-2% RH (Relative Humidity ), and the temperature and humidity data can be acquired in real time at a frequency of at least 3 times per minute. For example, a plurality of sensors are uniformly distributed on the surface of the mattress to cover the contact area between the body of a patient and the mattress, and the plurality of sensors can be arranged on the mattress in a nine-grid mode and respectively correspond to the head, the shoulder, the back, the waist, the buttocks, the legs and other parts of the patient, so that the temperature and humidity information below different parts of the body can be ensured to be acquired.

Temperature and humidity sensors are also arranged at the positions of the head, the tail, the side and the like of the sickbed, so as to monitor the temperature and humidity conditions of the surrounding environment of the sickbed. The temperature and humidity sensor at the head of the bed can reflect the temperature and humidity of air near the head of the patient, and the temperature and humidity sensors at the tail and side of the bed are helpful for knowing the overall environmental condition of the sickbed.

Besides arranging temperature and humidity sensors on the surface of the mattress, the temperature and humidity sensors can be arranged at different layers inside the mattress so as to obtain the temperature and humidity distribution inside the mattress. For example, temperature and humidity sensors are arranged on a sponge layer, a spring layer and the like of the mattress, so that the temperature and humidity changes inside the mattress are known, and the air permeability and the moisture resistance of the mattress are judged.

And establishing a mathematical model of temperature and humidity distribution on the sickbed by utilizing the acquired data of the temperature and humidity sensors. An interpolation algorithm (such as linear interpolation, kriging interpolation and the like) can be adopted to perform temperature and humidity estimation on the area without the sensor, so that the temperature and humidity distribution condition on the whole patient bed can be obtained.

Temperature and humidity distribution information is intuitively displayed through a visualization technology (such as a heat map, a three-dimensional curved surface map and the like), so that medical staff and related staff can observe and analyze the temperature and humidity distribution information conveniently. For example, a map of temperature and humidity is drawn by using Matplotlib library of Python, and different colors represent different temperature and humidity values, so that the temperature and humidity distribution is clear at a glance.

In some optional embodiments, mutual verification is performed between a plurality of adjacent temperature and humidity sensors on a sickbed, and under the condition that the data of any one temperature and humidity sensor is abnormal, the standby temperature and humidity sensor is automatically switched, or a temperature and humidity distribution model is built through the temperature and humidity data of the adjacent temperature and humidity sensor, and the temperature and humidity data of the area corresponding to the temperature and humidity sensor with abnormal data is obtained through calculation of an interpolation algorithm (adopting a linear interpolation algorithm or a polynomial interpolation algorithm).

Specifically, according to the size and shape of the sickbed, sensors are arranged near the critical positions of the sickbed, such as the head, shoulders, back, buttocks, legs and the like, so that the temperature and humidity distribution condition on the sickbed is comprehensively and accurately reflected. The distance between adjacent sensors (the sensors all represent temperature and humidity sensors and are the same below) is moderate, so that the whole sickbed area can be covered, the data of the adjacent sensors have certain relevance, and mutual verification is facilitated.

The difference between the temperature and humidity values measured by the two adjacent sensors is calculated. For example, sensor A measures a temperature ofHumidity ofThe adjacent sensor B measures the temperature asHumidity ofTemperature difference valueDifference of humidity。

Ratio comparison methods in addition to difference comparisons, ratios of adjacent sensor data may also be calculated. Such as temperature ratio(Assume that) Humidity ratio of(Assume that)。

According to a large amount of experimental data and practical application experience, reasonable thresholds are set for the difference value and the ratio respectively, and the specific thresholds are not limited herein. For example, the temperature difference threshold may be set toC, the humidity difference threshold is set to 3% RH, the temperature ratio threshold is set to 1.05, and the humidity ratio threshold is set to 1.08. When the difference or ratio of adjacent sensors exceeds a corresponding threshold, it is determined that the sensor data is likely to be anomalous.

And a standby temperature and humidity sensor is preset at a proper position of the sickbed, and the performance and the precision of the standby temperature and humidity sensor are equivalent to those of the main sensor. When the data of a certain main sensor is judged to be abnormal, the system automatically switches the data acquisition source to the corresponding standby sensor.

And switching the process, namely immediately sending a switching instruction by the system once the sensor data abnormality is detected. Firstly, stopping collecting data from an abnormal sensor, starting a data collecting function of a standby sensor, and taking the data collected by the standby sensor as effective temperature and humidity data of the position for subsequent processing and analysis.

Under the conditions that the standby sensor is not available, the standby sensor cannot be switched or the standby sensor is problematic, the temperature and humidity distribution model is built by using the data of the adjacent temperature and humidity sensors which normally work. Such as a linear model, a polynomial model, etc. Taking a linear model as an example, assume three adjacent sensors、、The positions of (2) are respectively、、The corresponding temperature value is、、A straight line can be fitted through the three pointsWhereinAndFor the coefficients to be determined, the coefficients can be solved by a least square method or the like.

And (3) interpolation calculation, namely after the temperature and humidity distribution model is established, calculating temperature and humidity data of the area corresponding to the temperature and humidity sensor with abnormal data through an interpolation algorithm. For a linear model, if the position of the abnormal sensor isCan thenSubstitution into the equation of a straight lineIn (3) calculating the temperature value of the position. The method for calculating the humidity is the same.

When detecting sensor data abnormality and performing corresponding processing, the system should send alarm information timely to inform medical staff or related technicians. The alarm mode can be sound-light alarm, short message alarm or pop-up prompt box of the monitoring terminal, and the like, and is not particularly limited.

And (3) recording and analyzing data, namely recording related data of sensor data abnormality in a database of the hospital system, wherein the related data comprises time of occurrence of the abnormality, number of the abnormal sensor, abnormal data value, processing measures and the like. And the data is analyzed through the corresponding data analysis model, so that the occurrence rule of faults can be summarized, and reference data is provided for subsequent maintenance and improvement.

S200, acquiring hospitalization information and preference information of a patient, wherein the hospitalization information is acquired through a database module, a historical temperature and humidity adjustment value and adjustment satisfaction corresponding to the historical temperature and humidity adjustment value are acquired through the database module, the preference information is determined according to the historical temperature and humidity adjustment value and the adjustment satisfaction, and the preference information comprises temperature and humidity adjustment rate preference information and temperature and humidity value preference information.

Specifically, hospital information management system (HIS) is used to obtain the hospitalization information of the patient in real time, wherein the pathology information covers the past medical history details, the current diagnosis result, the medication scheme and laboratory examination report data in the medical record of the patient, and meanwhile, the real-time physiology information of the patient such as heart rate, blood pressure, blood oxygen saturation, respiratory rate and the like is continuously collected by wired or wireless docking with a physiological monitoring module beside the sickbed, so that complete pathology information is integrated.

Department type information is extracted from the HIS, departments to which the ward belongs, such as pediatrics, cardiology, oncology and the like, and department environment information including ward area, lighting orientation, ventilation facility layout, peripheral equipment heat source distribution and the like are identified, and are acquired in an assisted mode through field survey and environment sensors.

The historical temperature and humidity regulation information stored in the database during the past hospitalization period of the patient is deeply mined through a preference analysis model, and regulation preference information with personalized characteristics, such as temperature gradient, humidity increasing and decreasing trend, preference temperature and humidity values of different body parts and the like, is extracted by utilizing a data clustering and association rule algorithm.

Specifically, the control system of the sickbed is connected with a cloud database or a server (namely a database module), so that stored hospitalization information is obtained. Similarly, the remote database or the server stores the historical temperature and humidity regulation information of the patient, wherein the historical temperature and humidity regulation information comprises a historical temperature and humidity regulation value and a corresponding regulation satisfaction degree, the temperature and humidity regulation information corresponding to the knee of the patient at the last time is 22 ℃, the humidity is 53% RH, and a temperature and humidity regulation curve can be fitted to the patientThe degree of satisfaction of the adjustment was 80% (100% full meaning). When temperature and humidity regulation is carried out, relevant data for regulating the temperature and humidity each time are recorded, the data are stored in a temperature and humidity regulation record table of a database, and specific information of each time regulation is recorded in the table, wherein the specific information comprises regulation time, a temperature value before regulation, a humidity value before regulation, a temperature value after regulation, a humidity value after regulation, a regulation curve corresponding to the temperature and the humidity and a corresponding patient number. Thus, the change condition of the temperature and humidity of the environment where each patient is can be tracked in detail.

And performing cluster analysis on the temperature and humidity values after history adjustment, such as a K-Means algorithm. The similar temperature and humidity value combinations are divided into the same cluster through the algorithm. Assuming that temperature and humidity value data are clustered into 3 clusters, an algorithm can divide the data points into different clusters automatically according to the distribution characteristics of the data by calculating two-dimensional data points consisting of the temperature values and the humidity values after historical adjustment. For example, one cluster contains data points at 22-24 ℃, 40% -50% humidity, another cluster contains data points at 24-26 ℃, 50% -60% humidity, etc.

A range of preference values is determined by calculating an average adjustment satisfaction score within each cluster. And finding out the cluster with highest satisfaction by comparing the average satisfaction of different clusters. The temperature and humidity value range covered by the cluster is the temperature and humidity value preference information of the patient. For example, if the cluster average satisfaction degree of 22-24 ℃ and 40% -50% of humidity is highest, the temperature and humidity range is a temperature and humidity value range preferred by a patient, and the environment temperature and humidity can be maintained in the range as much as possible when the temperature and humidity are regulated subsequently, so that the comfort degree of the patient is improved. And similarly, the temperature and humidity regulation rate is also calculated in a clustering way through a K-Means algorithm, so that a temperature and humidity rate regulation curve with highest satisfaction is obtained, and temperature and humidity regulation is performed according to the temperature and humidity rate regulation curve.

In some optional embodiments, before acquiring the temperature and humidity distribution information, acquiring patient pressure distribution information, wherein the patient pressure distribution information represents pressure distribution information of a patient at each position of a sickbed, comparing the patient pressure distribution information with a preset pressure distribution model to obtain a patient pressure distribution model, wherein the patient pressure distribution model represents a pressure distribution model with highest similarity with a patient pressure distribution area in the preset pressure distribution model, determining body part distribution information according to the patient pressure distribution model, and the body part distribution information represents body part information corresponding to each area of the sickbed of the patient.

In particular, a plurality of pressure sensors are uniformly embedded in the sickbed mattress, and the sensors can be of piezoresistive type, piezoelectric type or capacitive type. For example, with piezoresistive pressure sensors, when a patient lies on a mattress, each part of the body applies pressure to the mattress, the resistance value of the sensor changes, and pressure information of the corresponding position can be obtained by measuring the change of the resistance value. The pressure sensors are typically distributed in an array, such as on a standard size hospital bed mattress, with the sensors being arranged at 5cm x 5cm intervals, or by providing pressure sensor pads, so that the pressure distribution of the patient across the bed can be captured in a comprehensive and careful manner.

In order to reflect the dynamic change of the pressure distribution of the patient in real time, the data acquisition frequency is generally set to be 1-10 times per second, and the specific frequency can be adjusted according to the actual requirements and the system performance. For example, for patients who may frequently change body position, the acquisition frequency may be increased appropriately.

Similarity comparison is carried out on the patient pressure distribution information and a preset pressure distribution model to obtain a preset pressure distribution model of the patient pressure distribution model:

The building mode is that a plurality of preset pressure distribution models are built by collecting pressure distribution data of a large number of patients with different body types, ages and illness states and combining with an ergonomics principle. For example, models are respectively built for different crowds such as adults, children, obese patients, emaciated patients and the like, and corresponding models can also be built according to common sickbed positions (supine position, lateral position and the like).

The model features that each preset pressure distribution model includes the pressure value range and distribution rule of different areas. For example, in a supine position model, the areas of the mattress corresponding to the head, shoulders, back, buttocks, legs, etc. will have corresponding pressure characteristics values, which are obtained by statistical analysis of a large number of sample data.

The similarity comparison method comprises the following steps:

Feature extraction, namely extracting key features from pressure distribution information of a patient, such as pressure peak positions, average pressure values of different areas, gradients of pressure distribution and the like. For example, the pressure difference between the center region and the edge region of the mattress is calculated as a characteristic index.

And the similarity algorithm is to compare the characteristics of the pressure distribution information of the patient with the characteristics of a preset pressure distribution model by adopting a proper similarity algorithm, such as Euclidean distance algorithm, cosine similarity algorithm and the like. Taking Euclidean distance algorithm as an example, calculating the Euclidean distance between the pressure distribution characteristic vector of the patient and each preset pressure distribution model characteristic vector, and indicating that the similarity is higher as the distance is smaller.

And determining a patient pressure distribution model, namely selecting a preset pressure distribution model with highest similarity with the patient pressure distribution information as the patient pressure distribution model through similarity comparison. For example, by calculation, the pressure distribution information of a certain patient is found to have the smallest Euclidean distance from the "adult male supine position preset pressure distribution model", and then the model is determined as the pressure distribution model of the patient.

Determining body part distribution information from the patient pressure distribution model:

Model mapping, wherein each preset pressure distribution model establishes a mapping relation with the body part information in advance. For example, in the "adult male supine position preset pressure distribution model", the upper left corner region of the mattress corresponds to the outside of the shoulder, the upper right corner region corresponds to the outside of the shoulder on the other side, the middle lower region corresponds to the buttocks, and so on.

And determining body part distribution information, namely determining body part information corresponding to each region of a patient in a sickbed according to the mapping relation between the determined patient pressure distribution model and the body part. For example, according to the determined "preset pressure distribution model for the supine position of the adult male", when the pressure information of the patient in a certain area of the mattress is obtained, the area corresponding to the part of the body can be known, so that the distribution condition of each part of the body of the patient on the sickbed can be comprehensively known. The data support is provided for the follow-up nursing work of carrying out targeted temperature and humidity adjustment, pressure sore prevention and the like according to the requirements of different body parts.

In some optional embodiments, the acquiring the temperature and humidity distribution information includes determining a temperature and humidity detection module corresponding to a patient bed according to the body part distribution information, and acquiring the temperature and humidity distribution information after detecting the temperature and humidity information corresponding to each body part by the temperature and humidity detection module.

Specifically, on the sick bed, the temperature and humidity detection module includes a plurality of temperature and humidity detection unit, and a plurality of temperature and humidity detection unit are not random distribution, but carry out the pointed overall arrangement to the difference of temperature and humidity perception and demand according to different health positions. For example, considering that the sensitivity of different parts of the human body to temperature and humidity is different, and that different diseases may cause special requirements of specific parts of the human body to temperature and humidity, the positions of the temperature and humidity detection units in the temperature and humidity detection module are planned in the design stage of the sickbed. Generally, temperature and humidity detecting means having a high density are provided on the surface of a mattress or in the vicinity of the mattress corresponding to main body parts such as the head, neck, shoulders, back, waist, buttocks, legs, etc., while temperature and humidity detecting means having a low density are provided on the surface of other mattresses.

And determining the specific position of the body part of the patient on the sickbed according to the body part distribution information, and establishing clear corresponding relations between each body part and each temperature and humidity detection unit.

The body type difference of different patients and the body position change on the sickbed, this correspondence is not absolutely fixed, but has a certain flexibility and adaptability. The corresponding relation between the body part and the temperature and humidity detection module can be dynamically adjusted according to the real-time change of the pressure distribution of the patient. For example, when the patient changes from the supine position to the lateral position, the system can re-identify the distribution of the body parts, correspondingly adjust the corresponding relation between the body parts and the temperature and humidity detection units, and ensure that the temperature and humidity of each body part can be accurately detected all the time.

The temperature and humidity detection module generally adopts an integrated temperature and humidity sensor, such as a digital temperature and humidity sensor, and can rapidly and accurately measure the temperature and humidity of the surrounding environment. These sensors operate on specific physical principles, such as measuring humidity by detecting the effect of water vapor in the environment on capacitance, and measuring temperature by the temperature-dependent nature of the thermistor.

Real-time data acquisition, namely, once the temperature and humidity detection modules corresponding to all the body parts are determined (namely, one or more temperature and humidity detection units corresponding to all the body parts), the temperature and humidity detection units start to acquire data in real time. The acquisition frequency can be set according to actual demands, and is generally about 1-10 times per second, so that the dynamic change of temperature and humidity can be timely captured. For example, for patients with more sensitive disease conditions, the acquisition frequency can be increased so as to discover the tiny change of temperature and humidity in time.

Data integration and processing, namely, the data acquired by each temperature and humidity detection module are transmitted to a central processing unit (a processing unit of a sickbed control module). The central processing unit performs preliminary filtering processing on the data to remove noise and abnormal values so as to improve the accuracy and reliability of the data. And then integrating the processed data according to the body part to form complete temperature and humidity distribution information. For example, the temperature and humidity data corresponding to the head and the temperature and humidity data corresponding to the shoulder are integrated together, and finally a data set reflecting the temperature and humidity distribution condition of each body part of the patient on the sickbed is obtained. The data set can be presented in various forms, such as a table form for listing the temperature and humidity values of each body part, or the temperature and humidity distribution is displayed in a graphical mode through a visual interface, so that the medical staff can intuitively know the temperature and humidity conditions of the patient.

S300, determining a temperature and humidity comfort range according to the hospitalization information and the preference information, wherein the temperature and humidity comfort range represents an expected temperature and humidity range of a patient at each place on a sickbed.

Specifically, referring to fig. 3, a neural network-based analysis model is used to determine a comfortable temperature and humidity range. The input layer of the analysis model receives the acquired hospitalization information and preference information, the middle hidden layer is trained by a large number of sample data containing different illness state, department and individual preference combinations, the analysis model has strong characteristic extraction and pattern recognition capability, the output layer accurately determines the comfortable range of temperature and humidity of the patient on each place on a sickbed, and the range accuracy is refined to be in a range of 0.5 ℃ and 3%RH as intervals, and the specific intervals are not limited. For example, the head region is suitable for 21.5-23 ℃, the humidity is 42-48%, the trunk region is 22.5-24 ℃, the humidity is 46-52%, etc.

The analysis model firstly extracts key factors and data related to temperature and humidity from hospitalization information and preference information respectively, and then carries out comprehensive analysis. And integrating the temperature and humidity requirements pointed by hospitalization information such as illness state, treatment stage, age constitution and the like with the preference of the temperature and humidity value and the preference of the regulation rate of the patient, and preliminarily determining a comfortable temperature and humidity range.

Dynamic adjustment and optimization, namely dynamically adjusting the temperature and humidity comfort range according to actual feedback and illness state change of a patient. During the rest period of the patient, the body reaction and comfort feedback of the patient are continuously observed, if the uncomfortable symptoms such as sweating, cold vibration, dry skin and the like exist, feedback information is timely sent to the analysis model, and therefore the temperature and humidity comfort range is finely adjusted through the analysis model. Meanwhile, along with improvement or change of the illness state of the patient, the comfortable range of the temperature and the humidity is required to be adjusted correspondingly through an analysis model so as to always meet the requirements of the patient.

In some optional embodiments, the hospitalization information includes pathology information and hospitalization environment information, the hospitalization environment information includes department type information and department environment information, the pathology information represents medical information of a patient and/or physiological information acquired through a physiological monitoring module, the temperature and humidity comfort range is determined according to the hospitalization information and preference information, the method includes determining a first temperature and humidity preset range according to the department type information, obtaining a second temperature and humidity preset range after correcting the first temperature and humidity preset range according to the department environment information, obtaining a third temperature and humidity preset range after correcting the second temperature and humidity preset range according to the pathology information, and obtaining the temperature and humidity comfort range after correcting the third temperature and humidity preset range according to the preference information.

Specifically, the patients in different departments have different characteristics and requirements, so that each department has specific requirements on temperature and humidity, and a corresponding first temperature and humidity preset range is set by a first processing unit of the middle hidden layer of the analysis model according to the different departments. For example:

the critical care unit (ICU) is characterized in that the patient is weak and has poor resistance, and the first temperature and humidity preset range is usually set to be 22-24 ℃ and the humidity is 40-60% in order to reduce the infection risk and maintain the body function of the patient to be stable. The temperature range is favorable for balancing heat dissipation and warmth retention of the body of a patient, and proper humidity can prevent the airway mucous membrane from drying and reduce the infection probability.

Pediatric ward-a child thermoregulation system has not yet developed completely, requiring a relatively warm and moist environment. Therefore, the first temperature and humidity preset range can be set to be 23-25 ℃ and 50-60% of humidity. The higher temperature can help children maintain their body temperature, and the proper humidity can avoid excessive dryness of skin and respiratory tract.

In order to ensure the smooth operation and the safety of patients, the temperature and the humidity of the operating room need to be accurately controlled. The first temperature and humidity preset range is generally 22-25 ℃ and 40% -60% of humidity. Proper temperature can keep the medical personnel in good working condition, and proper humidity is favorable for preventing static electricity from generating, and ensures the normal operation of surgical equipment.

Through the second processing unit of hiding the layer in the middle of the analytical model, combine ward real-time environment change, like outdoor temperature suddenly changes, the heat and the humidity fluctuation that personnel flow in the ward lead to, real-time fine setting humiture comfortable range, adjustment cycle is no longer than 10 minutes, thereby ensure to laminate patient's actual demand all the time, thereby the corresponding second humiture presets the scope of second processing unit output.

For example:

the environmental information of the department, such as ward direction, lighting, ventilation facility layout, etc., can affect the natural temperature and humidity conditions in the ward, so that the first temperature and humidity preset range needs to be corrected through the second processing unit. The specific correction principle of the second processing unit is as follows:

Ward orientation and daylighting-if the ward is south, the sunlight is sufficient, and the indoor temperature can be relatively high in daytime. In this case, for the originally set temperature range, an appropriate reduction is required, such as a reduction of the upper temperature limit by 1-2 ℃. For example, the original first temperature and humidity preset range is 23-25 ℃ and 50-60% of humidity, and the corrected second temperature and humidity preset range is 22-24 ℃ and 50-60% of humidity. Conversely, if the ward is facing north, the lighting is poor and the temperature is low, the lower temperature limit needs to be raised appropriately.

And if the ward is well ventilated, the ventilation facility is arranged, the ventilation is quick, the evaporation of water is quick, and the humidity is relatively low. At this time, it is necessary to appropriately raise the lower humidity limit, for example, by 5% -10%. Assuming that the first temperature and humidity preset range is 22-24 ℃ and the humidity is 40-60%, the corrected second temperature and humidity preset range may become 22-24 ℃ and the humidity is 45-60%. In order to ensure the freshness of air in a ward with poor ventilation, the heat dissipation needs to be more focused on the temperature regulation, and the temperature range is properly reduced.

And the third processing unit through the middle hidden layer corrects the second temperature and humidity preset range according to the pathological information to obtain a third temperature and humidity preset range:

the pathological information reflects the physical condition of the patient, and the requirements on temperature and humidity can be different according to the disease condition. The correction principle of the third processing unit is specifically as follows:

Different humidities and humidities are set according to different disease types, and the symptoms can be aggravated by too high or too low humidity for patients suffering from respiratory diseases such as pneumonia and asthma. If the patient suffers from such a disease, on the basis of the second preset temperature and humidity range, the humidity range needs to be further accurately adjusted, for example, the humidity range is adjusted to 45% -55%, so as to alleviate the discomfort of the respiratory mucosa. While for patients with cardiovascular disease, too high or too low a temperature may increase the cardiac burden, so a more tightly controlled temperature range, such as a reduction of the temperature range to 23-24 ℃, is required.

And setting different humiture according to different physiological indexes, namely if the body temperature of a patient is higher than a normal level, indicating that the body is in a heating state, and properly reducing the environmental temperature to help the body dissipate heat. For example, if the second preset temperature and humidity range is 22-24 ℃, the humidity is 45% -55%, for a patient with fever, the lower temperature limit needs to be reduced to 21 ℃, and the adjusted third preset temperature and humidity range is changed to 21-23 ℃ and the humidity is 45% -55%. On the contrary, if the blood pressure of the patient is low, the patient is weak, and the temperature needs to be properly increased, so that the comfort of the patient is enhanced.

And correcting the third temperature and humidity preset range according to preference information by a fourth processing unit of the middle hidden layer to obtain a temperature and humidity comfortable range:

the preference information reflects the preference of the patient on the temperature and the humidity, and the final adjustment is carried out by combining the preference information on the basis of comprehensively considering the third temperature and humidity preset range determined by the hospitalization information. The correction principle of the fourth processing unit is specifically as follows:

And correcting the third temperature and humidity preset range according to the temperature and humidity value preference of the patient, namely analyzing the preference of each body part to the temperature and humidity value by analyzing the historical temperature and humidity regulation record of the patient. For example, during a patient's past hospital stay, the temperature of the head is often adjusted to 23.5 ℃, the humidity is adjusted to 52%, and the degree of satisfaction of the adjustment is high. Then on the basis of the third temperature and humidity preset range, the range is finely adjusted by taking the temperature and humidity value preferred by the patient as the center. Assuming that the temperature of the head in the third temperature and humidity preset range is 23-24 ℃, the humidity is 50-55%, and after the preference information is combined, the finally determined comfortable range of the temperature and the humidity of the head is adjusted to be 23.2-23.8 ℃ and the humidity is 51-53%.

And correcting the temperature and humidity regulation rate according to the preference of the temperature and humidity regulation rate of the patient, wherein part of patients are sensitive to the temperature and humidity regulation rate. If the waist of the patient prefers a slow temperature and humidity regulation process, the temperature and humidity change is ensured to be within an acceptable speed range when the temperature and the humidity are regulated. And analyzing the temperature and humidity regulation curves corresponding to all the body parts in the historical temperature and humidity regulation records and the corresponding satisfaction degree, so that the optimal temperature and humidity regulation curves corresponding to all the body parts are obtained.

S400, comparing the temperature and humidity distribution information with the temperature and humidity comfort range to obtain a first comparison result.

Specifically, in a parallel computing mode, the temperature and humidity distribution information is compared with the temperature and humidity comfort range output by the output layer in the analysis model point by point, a first comparison result is output, and an abnormal temperature and humidity area, including detailed parameters such as the position of the area, the size of the area, the deviation degree and the like, of the temperature and humidity on the sickbed beyond the comfort range is clearly marked.

S500, under the condition that the first comparison result represents that an abnormal temperature and humidity area exists on a sickbed, temperature and humidity regulation information is generated, and the abnormal temperature and humidity area represents an area where temperature and humidity are not in the temperature and humidity comfort range.

Specifically, for an abnormal temperature and humidity area, a temperature and humidity adjusting unit associated with the abnormal temperature and humidity area is found, a corresponding temperature and humidity adjusting range is determined according to abnormal temperature and humidity data, an adjusting target of the associated temperature and humidity adjusting unit is determined according to the corresponding temperature and humidity adjusting range, temperature and humidity adjusting information of the temperature and humidity adjusting unit is generated according to the adjusting target, and therefore the temperature and humidity adjusting unit is driven to adjust temperature and humidity.

The temperature and humidity regulation information is used for guiding the temperature and humidity regulation unit to conduct targeted regulation on an abnormal area, and mainly comprises the following key parts:

The adjusting area is used for clearly indicating a specific abnormal temperature and humidity area on the sickbed, such as the upper left corner of the sickbed (corresponding to the shoulder position of a patient), the lower middle part of the sickbed (corresponding to the hip position of the patient) and the like. This can be accurately located by the previously determined body part distribution information and the position of the temperature and humidity detection module.

And determining a target temperature and humidity value to be regulated in the abnormal region according to the temperature and humidity comfort range. For example, if the temperature and humidity comfort range is 22-24 ℃, the humidity is 45% -55%, the current abnormal region temperature is 26 ℃, the humidity is 30%, the target temperature can be set to 23 ℃, and the target humidity is set to 50%.

The adjusting mode is heating, cooling, humidifying or dehumidifying, etc. For example, in the abnormal region where the temperature is too high and the humidity is too low, the adjustment method is "cooling and humidification".

And (3) adjusting the speed, namely determining the speed of temperature and humidity adjustment by combining temperature and humidity adjustment speed preference information of a patient. If the patient prefers to adjust slowly, the rate of temperature adjustment may be set to decrease by 1 ℃ per hour and the rate of humidity adjustment set to increase by 3% per hour.

And the temperature and humidity comfort range is a basis for judging the abnormal temperature and humidity area and determining the target temperature and humidity value. By comprehensively considering hospitalization information and preference information of patients, the comfort range of temperature and humidity of each place on a sickbed is accurately determined, and whether the current temperature and humidity are abnormal or not is measured by taking the comfort range as a standard.

Abnormal temperature and humidity data, namely real temperature and humidity data of an abnormal region, which are acquired and fed back in real time by a temperature and humidity detection module. And determining specific adjusting directions and amplitudes according to the differences between the data and the comfortable range of the temperature and the humidity.

Patient preference information, such as temperature and humidity regulation rate preference of the patient, plays an important role in generating regulation information. The patient comfort and satisfaction can be improved by adjusting the patient's preference.

And (3) identifying and collecting the abnormal region, namely accurately finding out the abnormal temperature and humidity region on the patient bed according to the first comparison result, and acquiring the current temperature and humidity data of the region from the temperature and humidity detection module. For example, the system prompts the temperature and humidity abnormality of the upper right corner area of the sickbed, and then acquires the current temperature of the area to be 28 ℃ and the humidity to be 35%.

And determining a target temperature and humidity value, namely comparing the current temperature and humidity data of the abnormal region with the temperature and humidity comfort range, and determining the target temperature and humidity value to be regulated. Assuming that the temperature and humidity comfort range corresponding to the region is 22-24 ℃ and 45-55% of humidity, the target temperature is set to 23 ℃ and the target humidity is set to 50%.

And (3) setting an adjusting mode and a speed, namely determining the adjusting mode (heating, cooling, humidifying and dehumidifying) according to the difference between the current temperature and the target temperature and the humidity. Meanwhile, a reasonable regulation rate is set by referring to temperature and humidity regulation rate preference information of a patient. If the patient prefers to adjust slowly, the temperature can be set to decrease by 1 ℃ per hour and the humidity can be set to increase by 4% per hour.

And integrating and generating regulation information, namely integrating the information such as a regulation area, a target temperature and humidity value, a regulation mode, a regulation rate and the like to form complete temperature and humidity regulation information. For example, the generated adjustment information is "adjust the upper right corner area of the hospital bed (corresponding to the shoulder on the right side of the patient), the target temperature is 23 ℃, the target humidity is 50%, the adjustment mode is to cool and humidify, the temperature adjustment rate is to decrease by 1 ℃ per hour, the humidity adjustment rate is to increase by 4% per hour", and then the temperature and humidity adjustment unit in the upper right corner area of the hospital bed is driven to perform temperature and humidity adjustment.

In some optional embodiments, the method further comprises the step of evaluating the hazard degree of the abnormal temperature and humidity area, giving high priority to the abnormality close to critical parts such as important organs of a patient, operation wounds and the like, ensuring preferential adjustment, and simultaneously pushing urgent prompt information, area details and adjustment suggestions to a nurse station monitoring terminal.

And S600, adjusting a temperature and humidity module corresponding to the abnormal temperature and humidity area according to the temperature and humidity adjustment information so that the temperature and humidity of the abnormal temperature and humidity area is in the temperature and humidity comfort range.

The temperature and humidity regulation module comprises a plurality of types of temperature and humidity regulation components, such as a partitioned flexible heating/refrigerating film integrated in a mattress, can realize accurate regulation and control of the temperature below different body parts, has the film thickness of not more than 2 millimeters and the thermal response time of not more than 3 seconds, is provided with an intelligent ventilation device arranged at the bedside, the tailstock and the bedside, has the functions of multi-gear wind speed regulation and 360-degree wind direction rotation, has the ventilation quantity regulation range of 5-100 cubic meters per hour, can accurately supply air according to regulation instructions, adopts high-efficiency moisture absorption/humidification materials, has the moisture absorption rate of 50 milliliters per hour, has the humidification rate of 30 milliliters per hour, and can regulate the local or whole humidity of a sickbed as required;

In the adjusting process, temperature and humidity data of an abnormal temperature and humidity area are collected again every 30 seconds (specific time is not limited and is only taken as an example time), the temperature and humidity data are compared with a temperature and humidity comfort range, working parameters of an adjusting component are dynamically adjusted according to a deviation value, and if the deviation is smaller than a set threshold value, adjusting intensity is gradually reduced, energy saving optimization is achieved until the temperature and humidity of the area are stable within the comfort range.

In some optional embodiments, the temperature and humidity module is arranged on a sickbed, the temperature and humidity module comprises a plurality of temperature adjusting units, a plurality of humidity adjusting units and a plurality of supporting units, the temperature adjusting units and the humidity adjusting units are arranged on the supporting units, the temperature and humidity module corresponding to the abnormal temperature and humidity area is adjusted according to the temperature and humidity adjusting information, the temperature and humidity module comprises the temperature adjusting information of one or more temperature adjusting units and the humidity adjusting information of one or more humidity adjusting units on the sickbed, the temperature adjusting curve of the temperature adjusting units is determined according to the temperature adjusting information, the temperature adjusting curve represents the adjusting speed of the temperature adjusting units at different temperatures, the humidity adjusting curve represents the adjusting speed of the humidity adjusting units at different humidities, the temperature adjusting units are adjusted according to the temperature adjusting curve, and the temperature and humidity adjusting units are adjusted according to the humidity adjusting curve, so that the temperature and humidity of the abnormal temperature and humidity area is in the comfortable range.

Specifically, according to an abnormal temperature and humidity area designated in the temperature and humidity adjustment information, one or more temperature adjustment units and humidity adjustment units corresponding to the area are determined by combining the layout of the temperature and humidity modules on a sickbed. For example, if the abnormal temperature and humidity area is the upper left corner of the hospital bed (corresponding to the shoulder position of the patient), the temperature adjusting unit and the humidity adjusting unit provided in the area are found.

And extracting key information such as a target temperature and humidity value, a regulating mode (heating, cooling, humidifying and dehumidifying) and a regulating speed from the temperature and humidity regulating information. For the temperature regulating unit, the target temperature and the rate of heating or cooling to be achieved are defined, and for the humidity regulating unit, the target humidity and the rate of humidification or dehumidification are determined. For example, the temperature and humidity regulation information of an abnormal area is required to be regulated from 28 ℃ to 23 ℃, the regulation rate is reduced by 1 ℃ per hour, the humidity is regulated from 30% to 50%, the regulation rate is increased by 4% per hour, the temperature regulation information of the corresponding temperature regulation unit is target temperature 23 ℃, the cooling rate is 1 ℃ per hour, the humidity regulation information of the humidity regulation unit is target humidity 50%, and the humidification rate is 4% per hour.

Determining the temperature regulation curve of the temperature regulation unit the temperature regulation curve is determined not only according to the regulation rate, but also by considering various factors such as the ambient temperature, the performance characteristics of the regulation unit itself, the heat capacity of the abnormal region, etc. For example, in hot summer, the temperature of the environment is high, the temperature adjusting unit may be affected by the environmental heat during the cooling process, the adjusting speed may be reduced, and the shape of the adjusting curve may be affected by different types of temperature adjusting units with different refrigerating or heating capacities.

Establishing a mathematical model, namely establishing a mathematical model of the temperature regulation curve through experimental or theoretical analysis. An exponential decay or linear change model may be employed. Thereby obtaining the temperature values corresponding to the temperature regulating units at different times, and forming a temperature regulating curve.

Determining a humidity regulation curve of the humidity regulation unit, and determining a similar temperature regulation curve. The humidity control curve is determined similarly to the temperature control curve, and also, factors such as the ambient humidity, the performance of the humidity control unit, and the moisture absorption or dissipation characteristics of the abnormal region need to be considered. For example, in a humid environment, the humidity conditioning unit may be disturbed by ambient moisture and the conditioning rate may be slowed down when performing the dehumidification operation. The humidity conditioning process is also described using an exponential decay or linear variation mathematical model, resulting in a humidity conditioning curve.

And adjusting the temperature and humidity unit according to an adjusting curve, wherein in the adjusting process, the temperature and humidity module can monitor the temperature and humidity change condition of the abnormal temperature and humidity area in real time and feed back monitoring data to a control system of the sickbed. The control system compares the actual temperature and humidity value with the target values on the temperature regulation curve and the humidity regulation curve, and adjusts the temperature regulation unit and the humidity regulation unit in real time according to the comparison result. For example, if the actual temperature drop rate is slower than the rate set by the temperature regulation curve, the control system increases the cooling power of the temperature regulation unit, and increases the cooling rate. And continuously adjusting according to the adjusting curve until the temperature and the humidity of the abnormal temperature and humidity area reach the temperature and humidity comfort range. In the adjusting process, the adjusting strategy is continuously optimized to ensure the accuracy and stability of adjustment, and a comfortable temperature and humidity environment is provided for patients.

In some embodiments, referring to fig. 2, a plurality of temperature and humidity adjusting units are disposed in the bed board 100, the humidity adjusting units include an air supply device 130, a housing of the air supply device 130 is communicated with a through hole 121 on the support board 120, and provides support for the support board 120, ventilation can be completed by controlling a fan 131 in the air supply device 130, and a corresponding rotation speed of the fan 131 is set according to ventilation requirements. The support plate 120 is provided with a corresponding breathable mattress 110, and the breathable mattress 110 is provided with a corresponding pressure sensor pad, a heating sheet and a moisture absorption sheet, wherein the heating sheet can be heated according to requirements, and the moisture absorption sheet can be used for carrying out corresponding dehumidification according to requirements. The air supply pipeline of the air supply device 130 is communicated with the humidifying device 140 and the dosing device 150, corresponding moisture is added through the humidifying device 140, and the moisture is conveyed to the breathable mattress 110 through the air supply pipeline, so that the humidity is increased, and corresponding liquid medicine is added through the dosing device 150 for sterilization, deodorization and the like.

In some embodiments, an interaction module is arranged on a sickbed, the interaction module comprises a graphical interface and an operation button, the method further comprises the steps of acquiring demand information of a patient through the graphical interface and/or the operation button, the demand information comprises sleep posture adjustment assistance request information, bedding increasing and decreasing request information and temperature and humidity adjustment request information, sending the demand information to a monitoring terminal, enabling medical staff to arrive at the sickbed to perform sleep posture adjustment, bedding increasing and/or temperature and humidity adjustment, or sending a confirmation signal to a corresponding sickbed controller through the monitoring terminal, and enabling the sickbed controller to start sleep posture adjustment, bedding increasing and/or temperature and humidity adjustment according to the confirmation signal.

Specifically, the graphical interface on the sickbed is a touch display screen, and various functional options are intuitively displayed. The patient can conveniently select the required function by touching the screen. For example, the graphical interface is provided with buttons for clearly identifying such as 'adjusting sleeping posture to assist', 'increasing and decreasing bedding', 'temperature and humidity adjustment', and the like. When the patient feels uncomfortable and needs to adjust the sleeping posture, the button of 'adjusting the sleeping posture assistance' can be directly touched, and the system can automatically record and generate the information of the request for assisting in adjusting the sleeping posture. For temperature and humidity regulation, a temperature and humidity regulating slide block is further provided, and a patient can set a desired temperature and humidity value by sliding the slide block, so that temperature and humidity regulation request information is generated.

Operation button interaction operation buttons are another interaction mode provided for patients, and are particularly suitable for patients who are not familiar with touch screen operation. The buttons are reasonable in layout, clear in touch sense and convenient for a patient to operate. For example, a special "adjust sleeping position" button, an "add bedding" button, a "decrease bedding" button, and a "temperature and humidity adjustment" button are provided. The patient presses the corresponding button to trigger the generation of the corresponding demand information. For example, the patient feels cold, and pressing the "add bedding" button, the system will generate a request message to increase or decrease bedding.

After the interaction module acquires the demand information of the patient, the information can be immediately sent to the monitoring terminal through a wired or wireless communication mode. The monitoring terminal is usually arranged in a nurse station or a duty area of medical staff, so that the medical staff can conveniently and intensively monitor. The medical staff can see the demand information sent by each sickbed patient on the monitoring terminal in real time, for example, the demand information of the No. 3 sickbed patient for adjusting sleeping posture, the demand information of the No.5 sickbed patient for adding bedding and the like are displayed.

After the medical staff sees the demand information, different processing modes can be selected according to actual conditions. For some requests needing manual assistance, such as adjusting sleeping posture, medical staff can directly go to corresponding sickbeds to provide assistance for patients. And for the operation such as temperature and humidity regulation which can be automatically executed by the system, the medical staff can confirm on the monitoring terminal. For example, confirm "No. 5 hospital bed temperature and humidity adjustment request", then send the confirmation signal to the corresponding hospital bed controller through the monitor terminal.

After receiving the confirmation signal from the monitoring terminal, the sickbed controller starts corresponding operation according to a preset program. If the temperature and humidity regulation request is made, the sickbed controller can control the temperature and humidity module to accurately regulate according to the temperature and humidity value set by the patient and the actual value detected by the current temperature and humidity sensor. If the bedding is required to be increased or decreased, the sickbed controller can control equipment (such as an automatic quilt feeding device) related to the bedding to meet the requirements of patients. For the sleeping posture adjustment request, the intelligent adjustment mechanism of the sickbed assists the patient to adjust to the proper sleeping posture.

As shown in fig. 4, fig. 4 shows a block diagram of a controller 1000 according to an embodiment of the present application. The components of the controller 1000 include, but are not limited to, a memory 1200 and a processor 1100. The processor 1100 is connected to the memory 1200 via a bus, and the memory 1200 is used for storing data.

The controller 1000 also includes an access device that enables the controller 1000 to communicate via one or more networks. Examples of such networks include the Public Switched Telephone Network (PSTN), a Local Area Network (LAN), a Wide Area Network (WAN), a Personal Area Network (PAN), or a combination of communication networks such as the internet. An access device may include one or more of any type of network interface, wired or wireless (e.g., a Network Interface Card (NIC)), such as an IEEE802.11 Wireless Local Area Network (WLAN) wireless interface, a worldwide interoperability for microwave access (Wi-MAX) interface, an ethernet interface, a Universal Serial Bus (USB) interface, a cellular network interface, a bluetooth interface, a Near Field Communication (NFC) interface, and so forth.

The controller 1000 may be any type of stationary or mobile electronic device, including a mobile computer or mobile electronic device (e.g., tablet, personal digital assistant, laptop, notebook, netbook, etc.), mobile telephone (e.g., smart phone), wearable electronic device (e.g., smart watch, smart glasses, etc.), or other type of mobile device, or a stationary electronic device such as a desktop computer or PC. The controller 1000 may also be a mobile or stationary server.

The processor 1100 is configured to execute computer-executable instructions of a temperature and humidity control method.

The above is a schematic solution of a controller of the present embodiment. It should be noted that, the technical solution of the controller and the technical solution of the temperature and humidity control method belong to the same concept, and details of the technical solution of the controller which are not described in detail can be referred to the description of the technical solution of the temperature and humidity control method.

The embodiment of the application also provides a temperature and humidity control system. The temperature and humidity control system comprises a sickbed, wherein the sickbed is internally provided with a controller 1000, or the sickbed is in communication connection with the controller 1000, so that the sickbed can realize temperature and humidity adjustment through the controller 1000. It should be noted that, the technical solution of the temperature and humidity control system and the technical solution of the temperature and humidity control method belong to the same conception, and details of the technical solution of the computing device which are not described in detail can be referred to the description of the technical solution of the temperature and humidity control method.

The embodiment of the application also provides a storage medium, which is a computer readable storage medium, and the storage medium stores a computer program, and the temperature and humidity control method is realized when the computer program is executed by a processor.

The memory, as a non-transitory computer readable storage medium, may be used to store non-transitory software programs as well as non-transitory computer executable programs. In addition, the memory may include high-speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid state storage device. In some implementations, the memory may include memory that is remotely located relative to the processor, and the remote memory may be connected to the processor through a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof. The apparatus embodiments described above are merely illustrative, in which the elements illustrated as separate components may or may not be physically separate, implemented to reside in one place, or may be distributed over a plurality of network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

Those of ordinary skill in the art will appreciate that all or some of the steps, systems, and methods disclosed above may be implemented as software, firmware, hardware, and suitable combinations thereof. Some or all of the physical components may be implemented as software executed by a processor, such as a central processing unit, a digital signal processor, or a microprocessor, or as hardware, or as an integrated circuit, such as an application specific integrated circuit. Such software may be distributed on computer readable media, which may include computer storage media (or non-transitory media) and communication media (or transitory media). The term computer storage media includes both volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data, as known to those skilled in the art. Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital Versatile Disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store the desired information and which can be accessed by a computer. Furthermore, as is well known to those of ordinary skill in the art, communication media typically include computer readable instructions, data structures, program modules, or other data in a modulated data signal, such as a carrier wave or other transport mechanism, and may include any information delivery media.

While the preferred embodiment of the present application has been described in detail, the present application is not limited to the above embodiments, and those skilled in the art can make various equivalent modifications or substitutions without departing from the spirit and scope of the present application, and these equivalent modifications or substitutions are included in the scope of the present application as defined in the appended claims.

Claims

1. A method for controlling temperature and humidity, the method comprising:

Determining body part distribution information according to the patient pressure distribution model, wherein the body part distribution information represents body part information corresponding to each region of a sickbed of a patient;

2. The method for controlling temperature and humidity according to claim 1, wherein the obtaining temperature and humidity distribution information includes:

3. The method according to claim 1, wherein the hospitalization information includes pathology information and hospitalization environment information, the hospitalization environment information includes department type information and department environment information, the pathology information characterizes medical information of a patient and/or physiological information acquired by a physiological monitoring module, and the determining a temperature and humidity comfort range according to the hospitalization information and preference information includes:

4. The method of claim 1, wherein an interactive module is disposed on a hospital bed, the interactive module including a graphical interface and an operation button, the method further comprising:

5. The method according to claim 1, wherein the temperature and humidity module is disposed on a hospital bed, the temperature and humidity module includes a plurality of temperature adjusting units, a plurality of humidity adjusting units, and a plurality of supporting units, the temperature adjusting units and the humidity adjusting units are disposed on the supporting units, and the temperature and humidity module corresponding to the abnormal temperature and humidity area is adjusted according to the temperature and humidity adjusting information, and the method comprises:

6. A controller comprising a memory, a processor and a computer program stored on the memory and operable on the processor, the processor implementing the method of temperature and humidity control of any one of claims 1-5 when executing the computer program.

7. A temperature and humidity control system is characterized by comprising the controller of claim 6.

8. A computer storage medium storing computer executable instructions for performing the temperature and humidity control method according to any one of claims 1 to 5.