CN118688399A - A malodorous gas detection device and a gas detection and cross-interference correction method - Google Patents

Abstract

The present invention provides a malodorous gas detection device and a gas detection and cross-interference correction method, the device includes a sensor air chamber, a circuit board and a communication interface, a plurality of sensor units and a sealing gasket are arranged in a receiving chamber, the sealing gasket is located between the sensor air chamber and the circuit board to ensure the sealing inside the sensor air chamber, the plurality of sensor units are used to detect different types of malodorous gases, a temperature and humidity sensor is arranged on the circuit board to measure the temperature and humidity environment around the circuit board, a processor is integrated on the circuit board to receive data from each sensor unit, process and calibrate; the processor is also used to communicate with an external device via a communication interface through a serial port, and directly output the processed data. The present invention can accurately detect various malodorous gases in a complex environment, and improve the accuracy and reliability of detection by real-time detection of the temperature and humidity of the working conditions, temperature and humidity compensation, and the use of a cross-interference correction algorithm.

Description

A malodorous gas detection device and a gas detection and cross-interference correction method

Technical Field

The present invention relates to the technical field of gas detection, and in particular to a malodorous gas detection device and a gas detection and cross-interference correction method using the device.

Background Art

So far, there are more than 4,000 kinds of malodorous substances that can be detected by human sense of smell. Among them, the ones that are more harmful to human health include thiols, ammonia, hydrogen sulfide, dimethyl sulfide, trimethylamine, formaldehyde, styrene, chromic acid and phenols.

The principle of the odor gas detector is: when the target gas flows through the gas sensor, a signal is generated. After the instrument processor receives the signal, it will display the result through the display module. The odor concentration OU output by the odor gas detector is mostly calculated by integrating the measurement data of each sensor. However, due to the cross-interference and temperature interference problems of these sensors, the measurement data is inaccurate, resulting in a large deviation in the calculated OU value.

At the same time, the composition of malodorous gases is complex, ranging from a dozen to dozens or even hundreds of species. Common malodorous substances include hydrogen sulfide, ammonia, aldehydes, ketones, alcohols, esters, organic sulfur, organic amines, organic acids, aromatic hydrocarbons, terpenes, etc. The "8+1" combination of ammonia, trimethylamine, hydrogen sulfide, methyl mercaptan, methyl sulfide, dimethyl disulfide, carbon disulfide, styrene and odor concentration cannot fully reflect the odor pollution, and the detection is not comprehensive enough.

Most portable odor detection instruments use electrochemical sensor modules to detect odor gas components, which are affected by temperature and humidity and cross-interference, resulting in inaccurate odor gas concentration values.

Summary of the invention

In order to solve the above-mentioned problems existing in the prior art, the purpose of the present invention is to provide a malodorous gas detection device and a gas detection and cross-interference correction method. The device is a gas detection device with an integrated design, which has its own gas chamber and processor, and can directly output OU value signals through serial port communication; the method improves the accuracy and reliability of detection by real-time detection of the temperature and humidity of the working conditions, performing temperature and humidity compensation, and using a cross-interference correction algorithm.

The present invention achieves the above-mentioned purpose through the following technical solutions:

A malodorous gas detection device, comprising:

A sensor air chamber, a circuit board and a communication interface, wherein the sensor air chamber and the circuit board are covered to form a receiving chamber, wherein a plurality of sensor units and a sealing gasket are arranged in the receiving chamber, wherein the sealing gasket is located between the sensor air chamber and the circuit board to ensure the sealing inside the sensor air chamber, wherein the plurality of sensor units are used to detect different types of malodorous gases, wherein one or more temperature and humidity sensors are arranged on the circuit board to measure the temperature and humidity environment around the circuit board, wherein a processor is integrated on the circuit board, wherein the processor is used to receive data from each sensor unit, and to process and calibrate the data; wherein the processor is also used to perform serial communication with an external device through the communication interface, and directly output the processed data;

Among them, multiple sensor units are integrated into a sensor array, which has different responses to different odorous gases and is divided into three sensor units: A/B/C, including: A sensor unit is used to respond sensitively to smoke and alcohol substances; B sensor unit is used to respond sensitively to VOC, ammonia, and hydrogen sulfide substances; C sensor unit is used to respond sensitively to trimethylamine and methyl mercaptan substances.

According to a malodorous gas detection device provided by the present invention, the A sensor unit, the B sensor unit, and the C sensor unit are respectively installed in the sensor air chamber, and are connected to the processor through the interface on the circuit board. The processor receives data from the three sensor units A/B/C, and processes, calibrates and compensates the data;

When there is a linear or nonlinear relationship between the response of the sensor unit to a certain gas and the odor concentration, the response coefficient K of each sensor unit to the odor concentration is determined by fitting; the original data, odor concentration, temperature and humidity data of the sensor unit are read; the original data of the sensor unit is compensated using the coefficient K to obtain the compensated concentration value; and the compensated concentration value is further compensated according to the temperature and humidity data.

A gas detection and cross-interference correction method, which is applied to the above-mentioned malodorous gas detection device, comprises the following steps:

Determine the temperature compensation curve;

Determine the humidity compensation curve;

Let in pure air, wait for the raw data of each sensor unit to stabilize, and determine whether temperature and humidity compensation is required under the current environmental conditions. If necessary, perform temperature and humidity compensation according to the obtained compensation curve;

The raw data of each sensor unit at this time is recorded as the zero point to provide a reference for subsequent gas concentration detection;

The standard gases of different concentrations corresponding to the various sensor units are introduced in sequence;

Automatically record the response data of each sensor unit to the standard gas, and establish the response curve of each sensor unit to the gas of different concentrations;

When the data value is stable, calibrate the sensor unit corresponding to the standard gas to ensure that the sensor output matches the actual gas concentration;

Through the calibration process, a response curve library of all sensor units to various gases at different concentrations is established, and the response curve library contains the response data of the sensor units to different gases at different concentrations;

During actual detection, the raw data of the sensor is monitored and analyzed in real time, and the established response curve library is used to analyze possible cross-interference;

When it is detected that the response of a sensor unit exceeds the normal response range of its corresponding gas, it analyzes whether other sensors also respond, thereby identifying cross-interference;

According to the cross-interference situation, the cross-interference is corrected according to the response curve library to improve the accuracy and reliability of the detection results.

According to a gas detection and cross-interference correction method provided by the present invention, the determining of the temperature compensation curve comprises:

Make sure the sensor unit is in an interference-free environment, let in pure air, and wait for the raw data of the sensor unit to stabilize;

Use temperature control equipment to stabilize the ambient temperature at 20°C as the reference temperature point;

Introduce standard gas of a certain concentration and read the original data of the sensor at different temperature points;

Using the collected data, determine the temperature compensation curve;

When the sensor operates at different temperatures, temperature compensation is used to correct the sensor's raw data to obtain more accurate gas concentration readings.

According to a gas detection and cross-interference correction method provided by the present invention, the determination of the humidity compensation curve includes:

Make sure the sensor unit is in an interference-free environment, let in pure air, and wait for the sensor raw data to stabilize;

Use humidity control equipment to stabilize the ambient humidity at 50% RH as the reference humidity point;

Introduce standard gas of a certain concentration and read the original data of the sensor at different humidity points

Using the collected data, determine the humidity compensation curve;

When the sensor works under different humidity, humidity compensation is used to correct the raw data of the sensor to obtain more accurate gas concentration readings.

According to a gas detection and cross-interference correction method provided by the present invention, the method further comprises: integrating a plurality of sensor units into a sensor array, comprising:

According to the detection requirements, three types of sensing units A/B/C with different specificities are selected, including electrochemical sensors, photoionization sensors and semiconductor sensors;

fixing an electrode material on a substrate;

Modify specific recognition elements on the electrode surface;

Electrochemical sensors, photoionization sensors and semiconductor sensors are integrated into an array according to an arrangement layout to form a sensor array.

According to a gas detection and cross-interference correction method provided by the present invention, each PID sensor is calibrated to ensure that its response at different concentrations is accurate and reliable;

The entire PID array is tested to verify whether its performance meets the detection requirements.

According to a gas detection and cross-interference correction method provided by the present invention, the plurality of sensor units are integrated into a sensor array, further comprising:

physically integrating the sensor array into the sensor chamber;

Develop corresponding data acquisition and processing software that can simultaneously receive data from electrochemical sensors, photoionization sensors, and semiconductor sensors;

Conduct system testing on the integrated sensor array to verify its detection performance and accuracy under different conditions;

Electrochemical sensors, photoionization sensors and semiconductor sensor arrays are formed, which can simultaneously detect multiple gas components, including odorous gases and volatile organic compounds.

According to a gas detection and cross-interference correction method provided by the present invention, when determining whether temperature compensation is required, if necessary, the concentration of each sensor after temperature compensation is calculated according to a determined temperature compensation curve;

When determining whether humidity compensation is required, if necessary, the concentration of each sensor after humidity compensation is calculated according to the determined humidity compensation curve;

Determine whether cross-interference elimination is needed. If not, get the final detection concentration value. If necessary, match the current temperature and humidity compensated concentration value with the response curve library. If the correlation with the value in the response curve library is greater than the set value, correct the concentration value to get the final detection concentration value.

According to a gas detection and cross-interference correction method provided by the present invention, when establishing a response curve library, the collected raw data is cleaned and preprocessed to remove abnormal values and noise;

Use linear regression or polynomial fitting to fit the relationship between sensor response and gas concentration to obtain a response curve;

Analyze the characteristics of the response curve;

The response curves of each sensor unit to different gases at different concentrations are integrated into a database or table to form a response curve library.

It can be seen that compared with the prior art, the malodorous gas detection device proposed in the present invention adopts an integrated design, integrating an air chamber, a sensor unit, and a PCB circuit board, wherein a gasket is used to seal the air chamber and the circuit board; the circuit board in the air chamber contains a temperature and humidity sensor for temperature and humidity compensation of the measurement data; there is a processor on the circuit board to process and calibrate the data of each measurement unit, and the OU value signal can be directly output through serial communication. Among them, the three sensor units have different responses to different malodorous gases, and are divided into three types of sensor units A/B/C. For example, sensor unit A responds sensitively to substances such as smoke and alcohol; B responds sensitively to substances such as VOC, ammonia, and hydrogen sulfide; C responds sensitively to trimethylamine and methyl mercaptan, and can accurately detect various malodorous gases in complex environments.

The gas detection and cross-interference correction method proposed in the present invention introduces a new cross-interference correction algorithm, which can effectively identify and correct the cross-interference between sensors, thereby improving the accuracy and reliability of the detection results; the present invention is equipped with temperature and humidity sensors for real-time monitoring and compensation, eliminating the influence of environmental factors on the odor gas detection results, and improving the stability and accuracy of the instrument under different environmental conditions; the present invention adopts electrochemical, photoionization, and semiconductor sensor arrays, and adds VOCs detection, which can detect volatile organic odor gases in addition to the 8 determined odor gas components, covering a wider range of gas components, effectively improving the comprehensiveness of detection and the accuracy of odor concentration, and effectively correcting the influence of cross-interference, providing strong support for environmental protection and public safety.

The present invention is further described in detail below in conjunction with the accompanying drawings and specific embodiments.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG1 is a schematic structural diagram of an embodiment of a malodorous gas detection device of the present invention.

FIG. 2 is a schematic diagram of the sensitivity characteristics and temperature and humidity characteristics of the A sensing unit in an embodiment of a malodorous gas detection device of the present invention.

FIG3 is a schematic diagram of the sensitivity characteristics and temperature and humidity characteristics of the B sensing unit in an embodiment of a malodorous gas detection device of the present invention.

FIG. 4 is a schematic diagram of the sensitivity characteristics and temperature and humidity characteristics of the C sensing unit in an embodiment of a malodorous gas detection device of the present invention.

FIG. 5 is a flow chart of an embodiment of a gas detection and cross-interference correction method of the present invention.

FIG. 6 is a flow chart of determining a temperature compensation curve in an embodiment of a gas detection and cross-interference correction method of the present invention.

FIG. 7 is a flow chart of determining a humidity compensation curve in an embodiment of a gas detection and cross-interference correction method of the present invention.

DETAILED DESCRIPTION

In order to make the purpose, technical solution and advantages of the embodiment of the present invention clearer, the technical solution of the embodiment of the present invention will be clearly and completely described below in conjunction with the drawings of the embodiment of the present invention. Obviously, the described embodiment is a part of the embodiment of the present invention, not all of the embodiments. Based on the described embodiment of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

An embodiment of a malodorous gas detection device

Referring to Figure 1, a malodorous gas detection device provided in this embodiment includes: a sensor air chamber 1, a circuit board 5 and a communication interface 6. The sensor air chamber 1 and the circuit board 5 are covered to form a accommodating chamber. A plurality of sensor units 3 and a sealing gasket 2 are arranged in the accommodating chamber. The sealing gasket 2 is located between the sensor air chamber 1 and the circuit board 5 to ensure the sealing inside the sensor air chamber 1. The plurality of sensor units 3 are used to detect different types of malodorous gases. One or more temperature and humidity sensors 4 are arranged on the circuit board 5 to measure the temperature and humidity environment around the circuit board 5. A processor is integrated on the circuit board 5. The processor is used to receive data from each sensor unit 3, and perform processing and calibration. The processor is also used to perform serial port communication with an external device through the communication interface 6, and directly output the processed data.

The sensor gas chamber 1 of this embodiment is used to accommodate the gas sample to be detected, ensure the effective contact between the gas sample and the sensor unit 3, and cover the circuit board 5 to form a closed accommodating chamber to protect the internal components from interference from the external environment.

The sealing gasket 2 of this embodiment is located between the sensor air chamber 1 and the circuit board 5 to ensure the sealing inside the sensor air chamber 1 and prevent gas leakage or external gas interference.

The communication interface 6 of this embodiment is used to connect external devices, such as computers, data recorders, etc. Through serial communication, the processed data is directly output to the external device, which is convenient for users to perform real-time monitoring, data analysis and storage.

Among them, multiple sensor units 3 are integrated into a sensor array, which has different responses to different malodorous gases, and is divided into three sensor units A/B/C, including: A sensor unit is used to respond sensitively to smoke and alcohol substances; B sensor unit is used to respond sensitively to VOC, ammonia, hydrogen sulfide substances; C sensor unit is used to respond sensitively to trimethylamine and methyl mercaptan substances. Among them, the A sensor unit is an electrochemical sensor, the B sensor unit is a photoionization sensor, and the C sensor unit is a semiconductor sensor. The sensitivity characteristics and temperature and humidity characteristics of the three sensor units are shown in Figures 2, 3, and 4 respectively.

In this embodiment, sensor unit A, sensor unit B, and sensor unit C are respectively installed in the sensor air chamber 1, and are connected to the processor through the interface on the circuit board 5. The processor receives data from the three sensor units A/B/C, and processes, calibrates, and compensates the data.

According to the "Emission Standard of Odor Pollutants" GB 14554-93, the emission of eight odorous gases and the concentration at the factory boundary of existing and newly built enterprises are regulated. Among them, when there is a linear or nonlinear relationship between the response of the sensor unit 3 to a certain gas and the odor concentration, the response coefficient K of each sensor unit 3 to the odor concentration is determined by fitting; the raw data, odor concentration, temperature and humidity data of the sensor unit 3 are read; the raw data of the sensor unit 3 is compensated by using the coefficient K to obtain the compensated concentration value; the compensated concentration value is further compensated according to the temperature and humidity data.

In summary, the malodorous gas detection device proposed in the present invention adopts an integrated design, integrating an air chamber, a sensor unit, and a PCB circuit board, wherein a gasket is provided between the air chamber and the circuit board for sealing; the circuit board in the air chamber contains a temperature and humidity sensor for temperature and humidity compensation of the measurement data; there is a processor on the circuit board to process and calibrate the data of each measurement unit, and the OU value signal can be directly output through serial communication. Among them, the three sensor units have different responses to different malodorous gases, respectively, and are divided into three types of sensor units A/B/C. For example, sensor unit A responds sensitively to substances such as smoke and alcohol; B responds sensitively to substances such as VOC, ammonia, and hydrogen sulfide; C responds sensitively to trimethylamine and methyl mercaptan, and can accurately detect various malodorous gases in complex environments.

In addition, the detection device of the present invention can be set in a cruise mode and used with an unmanned cruise vehicle to perform real-time detection, and the location information, detection process data and result data can be uploaded to the platform to obtain comprehensive and effective detection data.

A gas detection and cross-interference correction method embodiment

As shown in FIG5 , this embodiment provides a gas detection and cross-interference correction method, which is applied to the above-mentioned malodorous gas detection device and includes the following steps:

Step S1, determining a temperature compensation curve;

Step S2, determining a humidity compensation curve;

Step S3, introducing pure air, waiting for the original data of each sensor unit 3 to be stable, judging whether temperature and humidity compensation is required under the current environmental conditions, and if necessary, performing temperature and humidity compensation according to the obtained compensation curve;

Step S4, recording the raw data of each sensor unit 3 at this time as the zero point to provide a reference for subsequent gas concentration detection;

Step S5, introducing standard gases of different concentrations corresponding to the various sensor units 3 in sequence;

Step S6, automatically recording the response data of each sensor unit 3 to the introduction of standard gas, and establishing a response curve of each sensor unit 3 to gases of different concentrations;

Step S7, when the data value is stable, calibrate the sensor unit 3 corresponding to the standard gas to ensure that the sensor output matches the actual gas concentration;

Step S8, establishing a response curve library of all sensor units 3 to various gases at different concentrations through a calibration process, wherein the response curve library contains response data of the sensor units 3 to different gases at different concentrations;

Step S9, when actually detecting, by real-time monitoring and analyzing the raw data of the sensor, using the established response curve library to analyze possible cross interference;

Step S10, when it is detected that the response of a certain sensor unit 3 exceeds the normal response range of its corresponding gas, analyzing whether other sensors also respond, thereby identifying cross interference;

Step S11, according to the cross interference situation, the cross interference is corrected according to the response curve library to improve the accuracy and reliability of the detection result.

In the above step S1, as shown in FIG6 , determining a temperature compensation curve includes:

Ensure that the sensor unit 3 is in an environment without interference, let in pure air, and wait for the raw data of the sensor unit 3 to stabilize;

Use temperature control equipment to stabilize the ambient temperature at 20°C as the reference temperature point;

Introduce standard gas of a certain concentration and read the original data of the sensor at different temperature points;

Using the collected data, determine the temperature compensation curve;

When the sensor operates at different temperatures, temperature compensation is used to correct the sensor's raw data to obtain more accurate gas concentration readings.

In the above step S2, as shown in FIG7 , determining a humidity compensation curve includes:

Ensure that the sensor unit 3 is in an interference-free environment, let in pure air, and wait for the sensor raw data to stabilize;

Use humidity control equipment to stabilize the ambient humidity at 50% RH as the reference humidity point;

Introduce standard gas of a certain concentration and read the original data of the sensor at different humidity points

Using the collected data, determine the humidity compensation curve;

When the sensor works under different humidity, humidity compensation is used to correct the raw data of the sensor to obtain more accurate gas concentration readings.

In this embodiment, the following is further performed: integrating multiple sensor units 3 into a sensor array, wherein these sensors have different specificities and can simultaneously detect different malodorous gas components, which specifically include:

According to the detection requirements, three types of sensing units A/B/C with different specificities are selected, including electrochemical sensors, photoionization sensors and semiconductor sensors;

fixing an electrode material on a substrate;

Modify specific recognition elements on the electrode surface;

Electrochemical sensors, photoionization sensors and semiconductor sensors are integrated into an array according to an arrangement layout to form a sensor array.

In this embodiment, each PID sensor is calibrated to ensure that its response at different concentrations is accurate and reliable; the entire PID array is tested to verify whether its performance meets the detection requirements.

Then, the sensor array is physically integrated into the sensor chamber; corresponding data acquisition and processing software is developed, which can simultaneously receive data from electrochemical sensors, photoionization sensors and semiconductor sensors; the integrated sensor array is systematically tested to verify its detection performance and accuracy under different conditions; and an array of electrochemical sensors, photoionization sensors and semiconductor sensors is formed, which can simultaneously detect multiple gas components, including odorous gases and volatile organic compounds.

In the above step S5, the gas to be measured is introduced, the original value of each sensor is read, the temperature, humidity and atmospheric pressure of the current environment are read, and the original concentration of each sensor is calculated based on the original value of the sensor according to the zero point, calibration parameters and response curve recorded during calibration.

In the above step S3, this embodiment is equipped with a temperature and humidity sensor 4 for real-time monitoring of the temperature and humidity of the environment. By real-time monitoring and compensation of the temperature and humidity data, the influence of environmental factors on the odorous gas detection results can be effectively eliminated, thereby improving the stability and accuracy of the detection results.

In the above step S3, when judging whether temperature compensation is required, if necessary, the concentration of each sensor after temperature compensation is calculated according to the determined temperature compensation curve; when judging whether humidity compensation is required, if necessary, the concentration of each sensor after humidity compensation is calculated according to the determined humidity compensation curve; judge whether cross-interference elimination is required, if not, obtain the final detection concentration value, if necessary, match the current concentration value after temperature and humidity compensation with the response curve library, if the correlation with the value in the response curve library is greater than the set value, correct the concentration value to obtain the final detection concentration value.

In this embodiment, if two or more gases meet the correlation requirements, the measured gas is judged to be a mixed gas, and then weight calculation is performed based on the response curves of other components under different standard gases to accurately calculate the concentration values of each component in the mixed gas.

In this embodiment, the single variable principle is adopted to determine the temperature and humidity compensation parameters. The reference point temperature value of the temperature compensation is set to 20°C, and a standard gas of a certain concentration is introduced. The original data of the sensor is recorded at experimental temperatures of -20°C, -10°C, 0°C, 10°C, 20°C, 30°C, 40°C, 50°C, and 60°C to determine the temperature compensation curve of the sensor.

In this embodiment, the reference point humidity value of humidity compensation is set to 50% RH, and a standard gas of a certain concentration is introduced. The original data of the sensor is recorded at experimental humidity of 10% RH, 30% RH, 50% RH, 70% RH, and 90% RH to determine the humidity compensation curve of the sensor.

In the above step S8, when establishing the response curve library, the collected raw data is cleaned and preprocessed to remove outliers and noise; wherein, outliers caused by sensor failure, operating errors or other reasons are identified and removed, and these outliers may significantly affect the accuracy of the response curve. Statistical methods (such as Z-score method) or threshold methods based on domain knowledge can be used to identify outliers. Since the gas detection process may be interfered by various noises, such as electromagnetic interference, temperature fluctuations, etc., these noises may cause fluctuations in sensor data and affect the smoothness of the response curve. Digital filters (such as low-pass filters, sliding average filters, etc.) can be used to remove noise and make the data smoother.

The relationship between the sensor response and the gas concentration is fitted using linear regression or polynomial fitting to obtain a response curve. The selected fitting method is used to fit the cleaned and pre-processed data to obtain a response curve between the sensor response and the gas concentration, and the fitting effect is evaluated to ensure that the response curve can accurately reflect the relationship between the sensor response and the gas concentration.

Analyze the characteristics of the response curve. Analyze the slope, intercept, correlation coefficient and other parameters of the response curve to understand the response characteristics of the sensor to different gases and concentrations. Based on the analysis results, further optimize or adjust the sensor to improve its detection performance.

The response curves of each sensor unit 3 to different gases at different concentrations are integrated into a database or table to form a response curve library. The response curves of each sensor unit 3 to different gases at different concentrations are integrated into a database or table, which should contain information such as the type of sensor unit 3, gas type, concentration range, response curve parameters, etc. The response curve data can be easily queried and managed using the database or table, providing support for subsequent gas concentration detection and cross-interference correction.

In summary, the gas detection and cross-interference correction method proposed in the present invention introduces a new cross-interference correction algorithm, which is based on the previous calibration data of the sensor and the response curve library. By real-time monitoring and analysis of the original signal of the sensor, it can effectively identify and correct the cross-interference between sensors, thereby improving the accuracy and reliability of the detection results; the present invention is equipped with a temperature and humidity sensor 4 for real-time monitoring and compensation, eliminating the influence of environmental factors on the odor gas detection results, and improving the stability and accuracy of the instrument under different environmental conditions; the present invention adopts electrochemical, photoionization and semiconductor sensor arrays, adds VOCs detection, and can detect volatile organic odor gases other than 8 determined odor gas components, covering a wider range of gas components, effectively improving the comprehensiveness of detection and the accuracy of odor concentration, and effectively correcting the influence of cross-interference, providing strong support for environmental protection and public safety.

It should be understood that the embodiments described above are only illustrative. The embodiments described in this embodiment can be implemented in hardware, software, firmware, middleware, microcode or any combination thereof. For hardware implementation, the processing unit can be implemented in one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), processors, controllers, microcontrollers, microprocessors and/or other electronic units designed to perform the functions herein or combinations thereof.

The above-mentioned embodiments are only preferred embodiments of the present invention and cannot be used to limit the scope of protection of the present invention. Any non-substantial changes and substitutions made by technicians in this field on the basis of the present invention shall fall within the scope of protection required by the present invention.

Claims (10)

1. A malodorous gas detection device, comprising: A sensor air chamber, a circuit board and a communication interface, wherein the sensor air chamber and the circuit board are covered to form a receiving chamber, wherein a plurality of sensor units and a sealing gasket are arranged in the receiving chamber, wherein the sealing gasket is located between the sensor air chamber and the circuit board to ensure the sealing inside the sensor air chamber, wherein the plurality of sensor units are used to detect different types of malodorous gases, wherein one or more temperature and humidity sensors are arranged on the circuit board to measure the temperature and humidity environment around the circuit board, wherein a processor is integrated on the circuit board, wherein the processor is used to receive data from each sensor unit, and to process and calibrate the data; wherein the processor is also used to perform serial communication with an external device through the communication interface, and directly output the processed data; Among them, multiple sensor units are integrated into a sensor array, which has different responses to different odorous gases and is divided into three sensor units: A/B/C, including: A sensor unit is used to respond sensitively to smoke and alcohol substances; B sensor unit is used to respond sensitively to VOC, ammonia, and hydrogen sulfide substances; C sensor unit is used to respond sensitively to trimethylamine and methyl mercaptan substances. 2. The malodorous gas detection device according to claim 1, characterized in that: The A sensor unit, the B sensor unit, and the C sensor unit are respectively installed in the sensor air chamber, and are connected to the processor through the interface on the circuit board. The processor receives data from the three sensor units A/B/C, and processes, calibrates, and compensates the data; Among them, when there is a linear or nonlinear relationship between the response of the sensor unit to a certain gas and the odor concentration, the response coefficient K of each sensor unit to the odor concentration is determined by fitting; the original data, odor concentration, temperature and humidity data of the sensor unit are read; the coefficient K is used to compensate the original data of the sensor unit to obtain the compensated concentration value; the compensated concentration value is further compensated according to the temperature and humidity data. 3. A gas detection and cross-interference correction method, characterized in that the method is applied to a malodorous gas detection device as claimed in claim 1 or 2, and comprises the following steps: Determine the temperature compensation curve; Determine the humidity compensation curve; Let in pure air, wait for the raw data of each sensor unit to stabilize, and determine whether temperature and humidity compensation is required under the current environmental conditions. If necessary, perform temperature and humidity compensation according to the obtained compensation curve; The raw data of each sensor unit at this time is recorded as the zero point to provide a reference for subsequent gas concentration detection; The standard gases of different concentrations corresponding to the various sensor units are introduced in sequence; Automatically record the response data of each sensor unit to the standard gas, and establish the response curve of each sensor unit to the gas of different concentrations; When the data value is stable, calibrate the sensor unit corresponding to the standard gas to ensure that the sensor output matches the actual gas concentration; Through the calibration process, a response curve library of all sensor units to various gases at different concentrations is established, and the response curve library contains the response data of the sensor units to different gases at different concentrations; During actual detection, the raw data of the sensor is monitored and analyzed in real time, and the established response curve library is used to analyze possible cross-interference; When it is detected that the response of a sensor unit exceeds the normal response range of its corresponding gas, it analyzes whether other sensors also respond, thereby identifying cross-interference; According to the cross-interference situation, the cross-interference is corrected according to the response curve library to improve the accuracy and reliability of the detection results. 4. The method according to claim 3, characterized in that the determining of the temperature compensation curve comprises: Make sure the sensor unit is in an interference-free environment, let in pure air, and wait for the raw data of the sensor unit to stabilize; Use temperature control equipment to stabilize the ambient temperature at 20°C as the reference temperature point; Introduce standard gas of a certain concentration and read the original data of the sensor at different temperature points; Using the collected data, determine the temperature compensation curve; When the sensor operates at different temperatures, temperature compensation is used to correct the sensor's raw data to obtain more accurate gas concentration readings. 5. The method according to claim 3, characterized in that the determining of the humidity compensation curve comprises: Make sure the sensor unit is in an interference-free environment, let in pure air, and wait for the sensor raw data to stabilize; Use humidity control equipment to stabilize the ambient humidity at 50% RH as the reference humidity point; Introduce standard gas of a certain concentration and read the original data of the sensor at different humidity points Using the collected data, determine the humidity compensation curve; When the sensor works under different humidity, humidity compensation is used to correct the raw data of the sensor to obtain more accurate gas concentration readings. 6. The method according to claim 3, characterized in that the method further comprises: integrating a plurality of sensor units into a sensor array, comprising: According to the detection requirements, three types of sensing units A/B/C with different specificities are selected, including electrochemical sensors, photoionization sensors and semiconductor sensors; fixing an electrode material on a substrate; Modify specific recognition elements on the electrode surface; Electrochemical sensors, photoionization sensors and semiconductor sensors are integrated into an array according to an arrangement layout to form a sensor array. 7. The method according to claim 6, characterized in that: Calibrate each PID sensor to ensure accurate and reliable response at different concentrations; The entire PID array is tested to verify whether its performance meets the detection requirements. 8. The method according to claim 7, wherein the step of integrating the plurality of sensor units into a sensor array further comprises: physically integrating the sensor array into the sensor chamber; Develop corresponding data acquisition and processing software that can simultaneously receive data from electrochemical sensors, photoionization sensors, and semiconductor sensors; Conduct system testing on the integrated sensor array to verify its detection performance and accuracy under different conditions; Electrochemical sensors, photoionization sensors and semiconductor sensor arrays are formed, which can simultaneously detect multiple gas components, including odorous gases and volatile organic compounds. 9. The method according to any one of claims 3 to 8, characterized in that: When determining whether temperature compensation is required, if necessary, the concentration of each sensor after temperature compensation is calculated based on the determined temperature compensation curve; When determining whether humidity compensation is required, if necessary, the concentration of each sensor after humidity compensation is calculated according to the determined humidity compensation curve; Determine whether cross-interference elimination is needed. If not, get the final detection concentration value. If necessary, match the current temperature and humidity compensated concentration value with the response curve library. If the correlation with the value in the response curve library is greater than the set value, correct the concentration value to get the final detection concentration value. 10. The method according to any one of claims 3 to 8, characterized in that: When establishing the response curve library, the collected raw data is cleaned and preprocessed to remove outliers and noise; Use linear regression or polynomial fitting to fit the relationship between sensor response and gas concentration to obtain a response curve; Analyze the characteristics of the response curve; The response curves of each sensor unit to different gases at different concentrations are integrated into a database or table to form a response curve library.