CN109979162A - A kind of anti-tumble alarm method and alarm system - Google Patents
A kind of anti-tumble alarm method and alarm system Download PDFInfo
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- CN109979162A CN109979162A CN201910225138.4A CN201910225138A CN109979162A CN 109979162 A CN109979162 A CN 109979162A CN 201910225138 A CN201910225138 A CN 201910225138A CN 109979162 A CN109979162 A CN 109979162A
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- 238000000034 method Methods 0.000 title claims abstract description 44
- 230000001133 acceleration Effects 0.000 claims abstract description 78
- 238000012544 monitoring process Methods 0.000 claims abstract description 62
- 230000004044 response Effects 0.000 claims abstract description 31
- 230000008859 change Effects 0.000 claims description 12
- 230000005540 biological transmission Effects 0.000 claims 1
- 230000008569 process Effects 0.000 description 8
- 238000004590 computer program Methods 0.000 description 7
- 238000010586 diagram Methods 0.000 description 6
- 238000012545 processing Methods 0.000 description 5
- 238000004422 calculation algorithm Methods 0.000 description 4
- 230000006870 function Effects 0.000 description 3
- 238000005070 sampling Methods 0.000 description 3
- 230000007547 defect Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 230000005358 geomagnetic field Effects 0.000 description 2
- 238000010801 machine learning Methods 0.000 description 2
- 238000012549 training Methods 0.000 description 2
- 238000013528 artificial neural network Methods 0.000 description 1
- 230000008901 benefit Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 230000001419 dependent effect Effects 0.000 description 1
- 230000004069 differentiation Effects 0.000 description 1
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- 238000012706 support-vector machine Methods 0.000 description 1
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/04—Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons
- G08B21/0407—Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons based on behaviour analysis
- G08B21/043—Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons based on behaviour analysis detecting an emergency event, e.g. a fall
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/04—Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons
- G08B21/0438—Sensor means for detecting
- G08B21/0446—Sensor means for detecting worn on the body to detect changes of posture, e.g. a fall, inclination, acceleration, gait
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/04—Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons
- G08B21/0438—Sensor means for detecting
- G08B21/0453—Sensor means for detecting worn on the body to detect health condition by physiological monitoring, e.g. electrocardiogram, temperature, breathing
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- Heart & Thoracic Surgery (AREA)
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Abstract
The invention discloses a kind of anti-tumble alarm method and alarm system, which includes the following steps: the map that target geographical area is generated by cloud platform server；Location information by cloud platform server based on high risk position and monitored personnel, determines the risk class of monitored personnel；If the risk class of monitored personnel is confirmed as high risk rank, the mobile terminal worn from cloud platform server to monitored personnel sends strong Monitoring instruction；In response to receiving strong Monitoring instruction, by mobile terminal with movement speed, acceleration and the angular speed of first frequency monitoring monitored personnel；From mobile terminal with first time interval to the movement speed of cloud platform server feedback monitored personnel, acceleration and angular speed；And movement speed, acceleration and angular speed by cloud platform server at least based on monitored personnel, judge whether monitored personnel falls.
Description
Technical field
The present invention relates to safety monitoring technology fields, especially with regard to a kind of anti-tumble alarm method and alarm system.
Background technique
Old man and home-bound patient, once he it falls, be easy injured and need to succour in time.But medical staff
Can not at any time old man or patient at one's side.So once Falls Among Old People, it would be desirable to be able to medical staff is notified in time.And old
The specific location of people or falling patient is also sent to medical staff.In order to which medical staff rushes in time.Alarm of falling cannot go out
It now fails to judge, otherwise will cause old man or patient is unable to get timely relief.Meanwhile to reduce rate of false alarm to the greatest extent.It reports by mistake every time all
It will increase medical care cost.It is able to satisfy the device of such alarm of falling, the typically loins mounted in old man or patient.Because falling
The movement for the waist of while falling is very violent, it is not easy to occur judging by accident and fail to judge.But the warning device for being mounted on waist is not easy to wear
It wears.Especially when old man or patient change one's clothes, it is easy to forget to dress.And wearing is also complex.It is inconvenient to use.
Prior art CN105632101B provides a kind of anti-tumble method for early warning of human body and system, the anti-tumble of human body
Method for early warning include: the 3-axis acceleration information for acquiring the monitored target of multiple sampled points in real time, three axis angular rate information and
Three axis geomagnetic field informations；Monitored target is calculated in the resultant acceleration of each sampled point according to 3-axis acceleration information；According to respectively adopting
The 3-axis acceleration information, three axis angular rate information and the three axis geomagnetic field informations of sampling point generate Eulerian angles sequence of differences；Root
It whether is doubtful fall according to the resultant acceleration of each sampled point and the motion state of preset resultant acceleration threshold decision monitored target
State；If so, the resultant acceleration mean value and preset resultant acceleration that are obtained according to the resultant acceleration by all sampled points are equal
It is worth threshold value, judges whether monitored target has tumble to incline in conjunction with the Eulerian angles sequence of differences and preset Eulerian angles difference threshold
To；There is tumble to generate warning message when being inclined in monitored target, to alarm before monitored target is fallen.
Prior art CN106056848B discloses a kind of anti-tumble precaution device method for realizing low power consumption, utilizes motion-sensing
The low power consumption characteristic of the shutdown mode of interrupting movement and single-chip microcontroller that device provides, passes through the movement of monolithic machine testing motion sensor
Interrupt signal neatly adjusts the working condition of single-chip microcontroller and motion sensor, achievees the purpose that reduce Overall Power Consumption, meanwhile,
Motion sensor is under low-power consumption mode, only to be acquired compared with low sampling rate to acceleration information, once detect that acceleration is more than
Given threshold generates interrupting movement signal immediately, and notice single-chip microcontroller monitoring object switchs to motion state by stationary state, simultaneously
Single-chip microcontroller updates the configuration of motion sensor, is allowed to work in high-speed sampling state.
The information disclosed in the background technology section is intended only to increase the understanding to general background of the invention, without answering
When being considered as recognizing or imply that the information constitutes the prior art already known to those of ordinary skill in the art in any form.
Summary of the invention
The purpose of the present invention is to provide a kind of anti-tumble alarm method and alarm systems, can overcome the prior art
Defect.
To achieve the above object, the present invention provides a kind of anti-tumble alarm method, which includes as follows
Step:
The map of target geographical area is generated by cloud platform server, wherein high risk position, high risk position are identified in map
It sets to fall including at least stair, entrance, slope and history and records identified position；
Location information by cloud platform server based on high risk position and monitored personnel, determines the risk of monitored personnel
Rank, wherein risk class includes at least high risk rank and low-risk rank, and wherein, and the position of monitored personnel is believed
Breath is that the mobile terminal worn by monitored personnel is sent to cloud platform server；
If the risk class of monitored personnel is confirmed as high risk rank, worn from cloud platform server to monitored personnel
The mobile terminal worn sends strong Monitoring instruction；
In response to receiving strong Monitoring instruction, by mobile terminal with the movement speed of first frequency monitoring monitored personnel, acceleration
Degree and angular speed；
From mobile terminal with first time interval to the movement speed of cloud platform server feedback monitored personnel, acceleration and
Angular speed；
If the risk class of monitored personnel is confirmed as low-risk rank, worn from cloud platform server to monitored personnel
The mobile terminal worn sends weak Monitoring instruction；
In response to receiving weak Monitoring instruction, by mobile terminal with the movement speed of second frequency monitoring monitored personnel, acceleration
Degree and angular speed；
From mobile terminal with the second time interval to the movement speed of cloud platform server feedback monitored personnel, acceleration and
Angular speed；
Wherein, first frequency is higher than second frequency, and first time interval is shorter than the second time interval；And
Movement speed, acceleration and angular speed by cloud platform server at least based on monitored personnel judge monitored people
Whether member falls.
In a preferred embodiment, anti-tumble alarm method includes the following steps: to refer in response to receiving strong monitoring
It enables, by mobile terminal with the heart rate of first frequency monitoring monitored personnel；From mobile terminal with first time interval to cloud platform
The heart rate of server feedback monitored personnel；In response to receiving weak Monitoring instruction, quilt is monitored with second frequency by mobile terminal
The heart rate of monitoring personnel；From mobile terminal with the second time interval to the heart rate of cloud platform server feedback monitored personnel；With
And movement speed, acceleration, angular speed and heart rate by cloud platform server at least based on monitored personnel, judgement are monitored
Whether personnel fall.
In a preferred embodiment, the movement speed by cloud platform server at least based on monitored personnel, acceleration
Degree, angular speed and heart rate judge whether monitored personnel falls and include the following steps: to be based on tumble process by Platform Server
The movement speed of middle monitored personnel, acceleration, angular speed and heart rate change value historical record, generate and whether fall and quilt
Correlation model between the movement speed of monitoring personnel, acceleration, angular speed and heart rate change value；And by cloud platform service
Device based on correlation model and institute received monitored personnel movement speed, acceleration, angular speed and heart rate, judgement be monitored
Whether personnel fall.
In a preferred embodiment, anti-tumble alarm method includes the following steps: if it is determined that monitored personnel falls
, then alarm signal is sent from cloud platform server to the mobile device of medical staff, from cloud platform server to tumble personnel
Neighbouring image collecting device sends image capture instruction, while sending alarm condition to mobile terminal from cloud platform server and referring to
Show symbol；Wherein, alarm signal includes at least position and the essential information of monitored personnel；Image is received by cloud platform server
The image that acquisition device is sent, and the received image of institute is sent from cloud platform server to mobile device；In response to receiving report
Alert status indicator issues buzzing alarm sound by mobile terminal and issues scintillation light by mobile terminal.
In a preferred embodiment, anti-tumble alarm method includes the following steps: if medical staff judges alarm
Information be wrong report, or if the autonomous turning-off mobile terminal of monitored personnel buzzing alarm sound and scintillation light, by cloud platform
Movement speed, acceleration, angular speed and heart rate of the server based on this monitored personnel are associated with mould with judging result update
Type.
The invention discloses a kind of anti-tumble alarm system, which includes:
For generating the unit of the map of target geographical area by cloud platform server, wherein be identified with high risk position in map
It sets, high risk position includes at least stair, entrance, slope and history tumble and records identified position；
For the location information by cloud platform server based on high risk position and monitored personnel, determine monitored personnel's
The unit of risk class, wherein risk class includes at least high risk rank and low-risk rank, and wherein, is monitored people
The location information of member is that the mobile terminal worn by monitored personnel is sent to cloud platform server；
If the risk class for monitored personnel is confirmed as high risk rank, from cloud platform server to monitored people
The mobile terminal that member wears sends the unit of strong Monitoring instruction；
For in response to receiving strong Monitoring instruction, by mobile terminal with the movement speed of first frequency monitoring monitored personnel,
The unit of acceleration and angular speed；
For from mobile terminal with first time interval to the movement speed of cloud platform server feedback monitored personnel, acceleration
And the unit of angular speed；
If the risk class for monitored personnel is confirmed as low-risk rank, from cloud platform server to monitored people
The mobile terminal that member wears sends the unit of weak Monitoring instruction；
For in response to receiving weak Monitoring instruction, by mobile terminal with the movement speed of second frequency monitoring monitored personnel,
Acceleration and angular speed；
For from mobile terminal with the second time interval to the movement speed of cloud platform server feedback monitored personnel, acceleration
And the unit of angular speed；
Wherein, first frequency is higher than second frequency, and first time interval is shorter than the second time interval, wherein mobile terminal is intelligence
It can bracelet；And
For movement speed, acceleration and the angular speed by cloud platform server at least based on monitored personnel, judge to be supervised
The unit whether survey personnel fall.
In a preferred embodiment, anti-tumble alarm system include: in response to receiving strong Monitoring instruction, by
Mobile terminal is with the unit of the heart rate of first frequency monitoring monitored personnel；For from mobile terminal with first time interval to cloud
Platform Server feeds back the unit of the heart rate of monitored personnel；For in response to receiving weak Monitoring instruction, by mobile terminal with
Second frequency monitors the unit of the heart rate of monitored personnel；For from mobile terminal with the second time interval to cloud platform server
Feed back the unit of the heart rate of monitored personnel；And for at least mobile speed based on monitored personnel by cloud platform server
Degree, acceleration, angular speed and heart rate judge the unit whether monitored personnel falls.
In a preferred embodiment, the movement speed by cloud platform server at least based on monitored personnel, acceleration
Degree, angular speed and heart rate judge whether monitored personnel falls and include the following steps: to be based on tumble process by Platform Server
The movement speed of middle monitored personnel, acceleration, angular speed and heart rate change value historical record, generate and whether fall and quilt
Correlation model between the movement speed of monitoring personnel, acceleration, angular speed and heart rate change value；And by cloud platform service
Device based on correlation model and institute received monitored personnel movement speed, acceleration, angular speed and heart rate, judgement be monitored
Whether personnel fall.
In a preferred embodiment, anti-tumble alarm system includes: to be used for if it is determined that monitored personnel falls, then
Alarm signal is sent from cloud platform server to the mobile device of medical staff, from cloud platform server near tumble personnel
Image collecting device sends image capture instruction, while sending alarm condition indicator from cloud platform server to mobile terminal
Unit；Wherein, alarm signal includes at least position and the essential information of monitored personnel；For being received by cloud platform server
Image collecting device send image, and from cloud platform server to mobile device send received image unit；For
In response to receiving alarm condition indicator, buzzing alarm sound is issued by mobile terminal and scintillation light is issued by mobile terminal
Unit.
In a preferred embodiment, if anti-tumble alarm system includes: to judge warning message for medical staff
For wrong report, or if the autonomous turning-off mobile terminal of monitored personnel buzzing alarm sound and scintillation light, by cloud platform service
Movement speed, acceleration, angular speed and heart rate and judging result of the device based on this monitored personnel update correlation model
Unit.
Compared with prior art, the present invention has the advantage that current anti-tumble method and system is based on tool mostly
Body formula infers whether user falls, this to use mathematical formulae calculated result, then passes through calculated result and predetermined number
Value is compared the method judged dependent on a large amount of physical hypothesis, and many information are had ignored in calculating process, these
Situation causes the accuracy of this method to be difficult the raising for having essential.Defect based on the prior art, the invention proposes one
Kind by machine learning algorithm generation correlation model, method that whether user falls then is judged according to correlation model, it is this
Method abandoned simplification for physical process and it is assumed that calculated result closer to objective fact, accuracy of judgement degree of the invention
There is biggish promotion compared with the prior art.In addition, the present invention has the step of automatic discrimination falling risk grade, based on danger
The differentiation of grade, the application can adjust the frequency of bracelet acquisition data and data reporting, to reach energy-efficient purpose.
Detailed description of the invention
Fig. 1 is anti-tumble alarm method flow chart according to an embodiment of the present invention.
Specific embodiment
With reference to the accompanying drawing, specific embodiments of the present invention will be described in detail, it is to be understood that guarantor of the invention
Shield range is not limited by the specific implementation.
Unless otherwise explicitly stated, otherwise in entire disclosure and claims, term " includes " or its change
Changing such as "comprising" or " including " etc. will be understood to comprise stated element or component, and not exclude other members
Part or other component parts.
Fig. 1 is anti-tumble alarm method flow chart according to an embodiment of the present invention.Anti- fall as shown, of the invention
Alarm method includes the following steps:
Step 101: the map of target geographical area is generated by cloud platform server, wherein high risk position is identified in map,
High risk position includes at least stair, entrance, slope and history tumble and records identified position；
Step 102: the location information by cloud platform server based on high risk position and monitored personnel determines monitored people
The risk class of member, wherein risk class includes at least high risk rank and low-risk rank, and wherein, monitored personnel
Location information be by monitored personnel wear mobile terminal be sent to cloud platform server；
Step 103: if the risk class of monitored personnel is confirmed as high risk rank, from cloud platform server to being supervised
The mobile terminal that survey personnel wear sends strong Monitoring instruction；
Step 104: in response to receiving strong Monitoring instruction, by mobile terminal with the mobile speed of first frequency monitoring monitored personnel
Degree, acceleration and angular speed；
Step 105: from mobile terminal with first time interval to the movement speed of cloud platform server feedback monitored personnel, plus
Speed and angular speed；
Step 106: if the risk class of monitored personnel is confirmed as low-risk rank, from cloud platform server to being supervised
The mobile terminal that survey personnel wear sends weak Monitoring instruction；
Step 107: in response to receiving weak Monitoring instruction, by mobile terminal with the mobile speed of second frequency monitoring monitored personnel
Degree, acceleration and angular speed；
Step 108: from mobile terminal with the second time interval to the movement speed of cloud platform server feedback monitored personnel, plus
Speed and angular speed；
Wherein, first frequency is higher than second frequency, and first time interval is shorter than the second time interval；And
Step 109: movement speed, acceleration and angular speed by cloud platform server at least based on monitored personnel, judgement
Whether monitored personnel falls.
Wherein, the generation method of correlation model can refer to machine learning algorithm known in the art, such as neural network
Training algorithm, training algorithm of support vector machines etc..
In a preferred embodiment, anti-tumble alarm method includes the following steps: to refer in response to receiving strong monitoring
It enables, by mobile terminal with the heart rate of first frequency monitoring monitored personnel；From mobile terminal with first time interval to cloud platform
The heart rate of server feedback monitored personnel；In response to receiving weak Monitoring instruction, quilt is monitored with second frequency by mobile terminal
The heart rate of monitoring personnel；From mobile terminal with the second time interval to the heart rate of cloud platform server feedback monitored personnel；With
And movement speed, acceleration, angular speed and heart rate by cloud platform server at least based on monitored personnel, judgement are monitored
Whether personnel fall.
In a preferred embodiment, the movement speed by cloud platform server at least based on monitored personnel, acceleration
Degree, angular speed and heart rate judge whether monitored personnel falls and include the following steps: to be based on tumble process by Platform Server
The movement speed of middle monitored personnel, acceleration, angular speed and heart rate change value historical record, generate and whether fall and quilt
Correlation model between the movement speed of monitoring personnel, acceleration, angular speed and heart rate change value；And by cloud platform service
Device based on correlation model and institute received monitored personnel movement speed, acceleration, angular speed and heart rate, judgement be monitored
Whether personnel fall.
In a preferred embodiment, anti-tumble alarm method includes the following steps: if it is determined that monitored personnel falls
, then alarm signal is sent from cloud platform server to the mobile device of medical staff, from cloud platform server to tumble personnel
Neighbouring image collecting device sends image capture instruction, while sending alarm condition to mobile terminal from cloud platform server and referring to
Show symbol；Wherein, alarm signal includes at least position and the essential information of monitored personnel；Image is received by cloud platform server
The image that acquisition device is sent, and the received image of institute is sent from cloud platform server to mobile device；In response to receiving report
Alert status indicator issues buzzing alarm sound by mobile terminal and issues scintillation light by mobile terminal.
In a preferred embodiment, anti-tumble alarm method includes the following steps: if medical staff judges alarm
Information be wrong report, or if the autonomous turning-off mobile terminal of monitored personnel buzzing alarm sound and scintillation light, by cloud platform
Movement speed, acceleration, angular speed and heart rate of the server based on this monitored personnel are associated with mould with judging result update
Type.
The invention also discloses a kind of anti-tumble alarm system, which includes:
For generating the unit of the map of target geographical area by cloud platform server, wherein be identified with high risk position in map
It sets, high risk position includes at least stair, entrance, slope and history tumble and records identified position；
For the location information by cloud platform server based on high risk position and monitored personnel, determine monitored personnel's
The unit of risk class, wherein risk class includes at least high risk rank and low-risk rank, and wherein, is monitored people
The location information of member is that the mobile terminal worn by monitored personnel is sent to cloud platform server；
If the risk class for monitored personnel is confirmed as high risk rank, from cloud platform server to monitored people
The mobile terminal that member wears sends the unit of strong Monitoring instruction；
For in response to receiving strong Monitoring instruction, by mobile terminal with the movement speed of first frequency monitoring monitored personnel,
The unit of acceleration and angular speed；
For from mobile terminal with first time interval to the movement speed of cloud platform server feedback monitored personnel, acceleration
And the unit of angular speed；
If the risk class for monitored personnel is confirmed as low-risk rank, from cloud platform server to monitored people
The mobile terminal that member wears sends the unit of weak Monitoring instruction；
For in response to receiving weak Monitoring instruction, by mobile terminal with the movement speed of second frequency monitoring monitored personnel,
Acceleration and angular speed；
For from mobile terminal with the second time interval to the movement speed of cloud platform server feedback monitored personnel, acceleration
And the unit of angular speed；
Wherein, first frequency is higher than second frequency, and first time interval is shorter than the second time interval, wherein mobile terminal is intelligence
It can bracelet；And
For movement speed, acceleration and the angular speed by cloud platform server at least based on monitored personnel, judge to be supervised
The unit whether survey personnel fall.
In a preferred embodiment, anti-tumble alarm system include: in response to receiving strong Monitoring instruction, by
Mobile terminal is with the unit of the heart rate of first frequency monitoring monitored personnel；For from mobile terminal with first time interval to cloud
Platform Server feeds back the unit of the heart rate of monitored personnel；For in response to receiving weak Monitoring instruction, by mobile terminal with
Second frequency monitors the unit of the heart rate of monitored personnel；For from mobile terminal with the second time interval to cloud platform server
Feed back the unit of the heart rate of monitored personnel；And for at least mobile speed based on monitored personnel by cloud platform server
Degree, acceleration, angular speed and heart rate judge the unit whether monitored personnel falls.
In a preferred embodiment, the movement speed by cloud platform server at least based on monitored personnel, acceleration
Degree, angular speed and heart rate judge whether monitored personnel falls and include the following steps: to be based on tumble process by Platform Server
The movement speed of middle monitored personnel, acceleration, angular speed and heart rate change value historical record, generate and whether fall and quilt
Correlation model between the movement speed of monitoring personnel, acceleration, angular speed and heart rate change value；And by cloud platform service
Device based on correlation model and institute received monitored personnel movement speed, acceleration, angular speed and heart rate, judgement be monitored
Whether personnel fall.
In a preferred embodiment, anti-tumble alarm system includes: to be used for if it is determined that monitored personnel falls, then
Alarm signal is sent from cloud platform server to the mobile device of medical staff, from cloud platform server near tumble personnel
Image collecting device sends image capture instruction, while sending alarm condition indicator from cloud platform server to mobile terminal
Unit；Wherein, alarm signal includes at least position and the essential information of monitored personnel；For being received by cloud platform server
Image collecting device send image, and from cloud platform server to mobile device send received image unit；For
In response to receiving alarm condition indicator, buzzing alarm sound is issued by mobile terminal and scintillation light is issued by mobile terminal
Unit.
In a preferred embodiment, if anti-tumble alarm system includes: to judge warning message for medical staff
For wrong report, or if the autonomous turning-off mobile terminal of monitored personnel buzzing alarm sound and scintillation light, by cloud platform service
Movement speed, acceleration, angular speed and heart rate and judging result of the device based on this monitored personnel update correlation model
Unit.
It should be understood by those skilled in the art that, embodiments herein can provide as method, system or computer program
Product.Therefore, complete hardware embodiment, complete software embodiment or reality combining software and hardware aspects can be used in the application
Apply the form of example.Moreover, it wherein includes the computer of computer usable program code that the application, which can be used in one or more,
The computer program implemented in usable storage medium (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.) produces
The form of product.
The application is referring to method, the process of equipment (system) and computer program product according to the embodiment of the present application
Figure and/or block diagram describe.It should be understood that every one stream in flowchart and/or the block diagram can be realized by computer program instructions
The combination of process and/or box in journey and/or box and flowchart and/or the block diagram.It can provide these computer programs
Instruct the processor of general purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices to produce
A raw machine, so that being generated by the instruction that computer or the processor of other programmable data processing devices execute for real
The device for the function of being specified in present one or more flows of the flowchart and/or one or more blocks of the block diagram.
These computer program instructions, which may also be stored in, is able to guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works, so that it includes referring to that instruction stored in the computer readable memory, which generates,
Enable the manufacture of device, the command device realize in one box of one or more flows of the flowchart and/or block diagram or
The function of being specified in multiple boxes.
These computer program instructions also can be loaded onto a computer or other programmable data processing device, so that counting
Series of operation steps are executed on calculation machine or other programmable devices to generate computer implemented processing, thus in computer or
The instruction executed on other programmable devices is provided for realizing in one or more flows of the flowchart and/or block diagram one
The step of function of being specified in a box or multiple boxes.
The aforementioned description to specific exemplary embodiment of the invention is in order to illustrate and illustration purpose.These descriptions
It is not wishing to limit the invention to disclosed precise forms, and it will be apparent that according to the above instruction, can much be changed
And variation.The purpose of selecting and describing the exemplary embodiment is that explaining specific principle of the invention and its actually answering
With so that those skilled in the art can be realized and utilize a variety of different exemplary implementation schemes of the invention and
Various chooses and changes.The scope of the present invention is intended to be limited by claims and its equivalents.
Claims (10)
1. a kind of anti-tumble alarm method, it is characterised in that: the anti-tumble alarm method includes the following steps:
The map of target geographical area is generated by cloud platform server, wherein high risk position is identified in the map, it is described
High risk position includes at least stair, entrance, slope and history tumble and records identified position；
Location information by the cloud platform server based on the high risk position and monitored personnel, determines described supervised
The risk class of survey personnel, wherein the risk class includes at least high risk rank and low-risk rank, and wherein, institute
The location information for stating monitored personnel is that the mobile terminal worn by the monitored personnel is sent to the cloud platform server
's；
If the risk class of the monitored personnel is confirmed as the high risk rank, serviced by the cloud platform
The mobile terminal that device is worn to the monitored personnel sends strong Monitoring instruction；
In response to receiving the strong Monitoring instruction, the shifting of the monitored personnel is monitored with first frequency by the mobile terminal
Dynamic speed, acceleration and angular speed；
From the mobile terminal with first time interval to the mobile speed of monitored personnel described in the cloud platform server feedback
Degree, acceleration and angular speed；
If the risk class of the monitored personnel is confirmed as the low-risk rank, serviced by the cloud platform
The mobile terminal that device is worn to the monitored personnel sends weak Monitoring instruction；
In response to receiving the weak Monitoring instruction, the shifting of the monitored personnel is monitored with second frequency by the mobile terminal
Dynamic speed, acceleration and angular speed；
From the mobile terminal with the second time interval to the mobile speed of monitored personnel described in the cloud platform server feedback
Degree, acceleration and angular speed；
Wherein, the first frequency is higher than the second frequency, and the first time interval is shorter than second time interval；With
And
By the cloud platform server at least based on the movement speed, acceleration and the angular speed of the monitored personnel,
Judge whether the monitored personnel falls.
2. anti-tumble alarm method as described in claim 1, it is characterised in that: the anti-tumble alarm method includes following step
It is rapid:
In response to receiving the strong Monitoring instruction, the heart of the monitored personnel is monitored with first frequency by the mobile terminal
Rate；
From the mobile terminal with first time interval to the heart rate of monitored personnel described in the cloud platform server feedback；
In response to receiving the weak Monitoring instruction, the heart of the monitored personnel is monitored with second frequency by the mobile terminal
Rate；
From the mobile terminal with the second time interval to the heart rate of monitored personnel described in the cloud platform server feedback；With
And
Movement speed, acceleration, angular speed and heart rate by the cloud platform server at least based on the monitored personnel,
Judge whether the monitored personnel falls.
3. anti-tumble alarm method as claimed in claim 2, it is characterised in that: be at least based on institute by the cloud platform server
Movement speed, acceleration, angular speed and the heart rate for stating monitored personnel, judge whether the monitored personnel falls including such as
Lower step:
Movement speed, acceleration, angular speed by the Platform Server based on monitored personnel described during tumble and
The historical record of heart rate change value, generate whether fall with the movement speed of the monitored personnel, acceleration, angular speed and
Correlation model between heart rate change value；And
By the cloud platform server based on the correlation model and the movement speed of received monitored personnel, acceleration,
Angular speed and heart rate, judge whether the monitored personnel falls.
4. anti-tumble alarm method as claimed in claim 3, it is characterised in that: the anti-tumble alarm method includes following step
It is rapid:
If it is determined that the monitored personnel falls, then sends and report from the cloud platform server to the mobile device of medical staff
Alert signal, from image collecting device transmission image capture instruction of the cloud platform server near tumble personnel, while by
The cloud platform server sends alarm condition indicator to the mobile terminal；
Wherein, the alarm signal includes at least position and the essential information of the monitored personnel；
The image that image collecting device is sent is received by the cloud platform server, and from the cloud platform server to the shifting
Dynamic device sends the received image of institute；
In response to receiving the alarm condition indicator, buzzing alarm sound is issued by the mobile terminal and by the movement
Terminal issues scintillation light.
5. anti-tumble alarm method as claimed in claim 4, it is characterised in that: the anti-tumble alarm method includes following step
Rapid: if medical staff judges the warning message to report by mistake, or if monitored personnel independently closes the mobile terminal
Buzzing alarm sound and scintillation light, then the movement speed by cloud platform server based on this monitored personnel, acceleration, angle speed
Degree and heart rate and judging result update the correlation model.
6. a kind of anti-tumble alarm system, it is characterised in that: the anti-tumble alarm system includes:
For generating the unit of the map of target geographical area by cloud platform server, wherein be identified with high wind in the map
Dangerous position, the high risk position include at least stair, entrance, slope and history tumble and record identified position；
For the location information by the cloud platform server based on the high risk position and monitored personnel, determination is supervised
The unit of the risk class of survey personnel, wherein the risk class includes at least high risk rank and low-risk rank, and its
In, the location information of the monitored personnel is that the mobile terminal worn by the monitored personnel is sent to the cloud platform clothes
Business device；
If the risk class for monitored personnel is confirmed as the high risk rank, serviced by the cloud platform
The mobile terminal that device is worn to the monitored personnel sends the unit of strong Monitoring instruction；
For monitoring the monitored personnel by the mobile terminal with first frequency in response to receiving the strong Monitoring instruction
Movement speed, acceleration and angular speed unit；
For the shifting from the mobile terminal with first time interval to monitored personnel described in the cloud platform server feedback
The unit of dynamic speed, acceleration and angular speed；
If the risk class for monitored personnel is confirmed as the low-risk rank, serviced by the cloud platform
The mobile terminal that device is worn to the monitored personnel sends the unit of weak Monitoring instruction；
For monitoring the monitored personnel by the mobile terminal with second frequency in response to receiving the weak Monitoring instruction
Movement speed, acceleration and angular speed；
For from mobile terminal with the second time interval to the mobile speed of monitored personnel described in the cloud platform server feedback
The unit of degree, acceleration and angular speed；
Wherein, the first frequency is higher than the second frequency, and the first time interval is shorter than second time interval,
In, the mobile terminal is Intelligent bracelet；And
For movement speed, acceleration and the angular speed by cloud platform server at least based on the monitored personnel, judgement
The unit whether monitored personnel falls.
7. anti-tumble alarm system as claimed in claim 6, it is characterised in that: the anti-tumble alarm system includes:
For the heart of the monitored personnel to be monitored with first frequency by mobile terminal in response to receiving the strong Monitoring instruction
The unit of rate；
For from the mobile terminal with first time interval to the heart of monitored personnel described in the cloud platform server feedback
The unit of rate；
For monitoring the monitored personnel by the mobile terminal with second frequency in response to receiving the weak Monitoring instruction
Heart rate unit；
For from the mobile terminal with the second time interval to the heart of monitored personnel described in the cloud platform server feedback
The unit of rate；And
For by the cloud platform server at least based on the monitored personnel movement speed, acceleration, angular speed and
Heart rate judges the unit whether monitored personnel falls.
8. anti-tumble alarm system as claimed in claim 7, it is characterised in that: be at least based on institute by the cloud platform server
Movement speed, acceleration, angular speed and the heart rate for stating monitored personnel, judge whether the monitored personnel falls including such as
Lower step:
By the Platform Server based on the movement speed of monitored personnel, acceleration, angular speed and heart rate during tumble
Whether the historical record of changing value generates and falls and the movement speed of monitored personnel, acceleration, angular speed and changes in heart rate
Correlation model between value；And
By the cloud platform server based on the correlation model and the movement speed of received monitored personnel, acceleration,
Angular speed and heart rate, judge whether the monitored personnel falls.
9. anti-tumble alarm system as claimed in claim 8, it is characterised in that: the anti-tumble alarm system includes:
For if it is determined that monitored personnel tumble, then sent out from the cloud platform server to the mobile device of medical staff
Alarm signal is sent, image capture instruction is sent from image collecting device of the cloud platform server near tumble personnel, together
When from the cloud platform server to the mobile terminal send alarm condition indicator unit；
Wherein, the alarm signal includes at least position and the essential information of monitored personnel；
For receiving the image that image collecting device is sent by the cloud platform server, and from the cloud platform server to institute
State mobile device send received image unit；
For issuing buzzing alarm sound by the mobile terminal and by described in response to receiving the alarm condition indicator
The unit of mobile terminal sending scintillation light.
10. anti-tumble alarm system as claimed in claim 9, it is characterised in that: the anti-tumble alarm system includes: to be used for
If medical staff judges the warning message to report by mistake, or if monitored personnel independently closes the bee of the mobile terminal
Ring alarm sound and scintillation light, then the movement speed by the cloud platform server based on this monitored personnel, acceleration, angle are fast
Degree and heart rate and judging result update the unit of the correlation model.
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