CN118392946B - MOS gas sensor selection system under target environment multicomponent gas - Google Patents
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Abstract
The application relates to a MOS gas sensor selection system under a target environment multicomponent gas. The system comprises: the multi-component sample preparation air inlet module is used for executing dynamic air configuration air inlet by adopting an air source to be tested; the detection analysis module is used for carrying out correlation and fitting degree analysis by collecting gas test data of each candidate gas sensor, and carrying out comparison and sequencing on performance performances of each candidate gas sensor to obtain a dynamic test evaluation result; the multi-component sample preparation air inlet module is also used for executing static sample injection by adopting a sample air source; the detection analysis module is also used for carrying out verification analysis by collecting the gas test data of the optimized gas sensor to obtain a static verification result; and the waste gas treatment module is used for assisting in detection sample injection and waste gas collection so as to support a dynamic test evaluation function and a static verification function of the gas sensor selection system under the multicomponent gas in the target environment, and can realize targeted efficient screening of the gas sensor in the target environment.
Description
Technical Field
The application relates to the technical field of performance evaluation of MOS (metal oxide semiconductor) gas sensors, in particular to a system for selecting an MOS gas sensor under multicomponent gas in a target environment.
Background
Currently, MOS (Metal Oxide Semiconductor ) gas sensor performance is mainly evaluated in terms of sensitivity, selectivity, response recovery time, temperature and humidity characteristics, long-term stability, and the like. The traditional method mainly comprises the steps of testing and recording data of clean air, single gases with different concentrations and humidities and single interference gases by means of equipment such as a dynamic air distribution system, a universal meter, a PC (personal computer) and the like, and obtaining various performance indexes of the sensor after data processing.
By adopting the traditional method, the device is complex, the method is tedious and has low efficiency, and the test and evaluation are carried out under a single gas, so that the influence of the cross sensitivity and the easy saturation characteristics of the sensor under the mixed gas background are ignored, different applicable condition scenes of the sensor cannot be effectively expressed, and early warning false alarm easily occurs when the sensor is used.
Disclosure of Invention
In view of the foregoing, it is desirable to provide a MOS gas sensor selection system under a target ambient multicomponent gas.
A MOS gas sensor selection system for a target ambient multicomponent gas, the system comprising:
The multi-component sample preparation air inlet module is used for preparing mixed gas with target concentration according to gas components in a target environment and preset gas thresholds of all gases, taking the mixed gas as an air source to be tested, and adopting the air source to be tested to execute dynamic gas configuration air inlet;
The detection analysis module is used for carrying out correlation and fitting degree analysis by collecting gas test data of each candidate MOS gas sensor in the process of carrying out dynamic gas distribution test analysis by adopting the gas source to be tested, and carrying out comparison and sequencing on performance performances of each candidate MOS gas sensor to obtain a dynamic test evaluation result; the dynamic test evaluation result is used for representing the optimized MOS gas sensor;
the multi-component sample preparation air inlet module is also used for acquiring a gas sample of the target environment for humidity control, taking the gas sample as a sample air source, and adopting the sample air source to perform static sample injection;
the detection analysis module is also used for carrying out verification analysis by collecting the gas test data of the optimized MOS gas sensor in the process of adopting the sample gas source to carry out static sample injection detection so as to obtain a static verification result; the static verification result is used for representing whether the optimized MOS gas sensor is suitable for detecting the multi-component gas in the target environment;
and the waste gas treatment module is used for assisting detection sample injection and waste gas collection so as to support the dynamic test evaluation function and the static verification function of the MOS gas sensor selection system under the target environment multicomponent gas.
In one embodiment, the multicomponent sample preparation air inlet module comprises a gas generating device, a gas mass flow controller, a sampler, a humidity control unit,
The gas generating device is used for preparing the gas source to be tested according to the gas components in the target environment and preset gas thresholds of the gases;
the gas mass flow controller is used for respectively controlling the flow of each gas and preparing the mixed gas with the target concentration;
The sampler is used for extracting and temporarily storing a gas sample of the target environment;
And the humidity control unit is used for controlling the humidity by humidifying or drying the dynamically prepared gas according to the humidity information in the target environment.
In one embodiment, the humidity control unit is internally provided with an adsorbent, an evaporator and a humidity sensor in sequence according to the gas flow direction, and the humidity control unit is further provided with a storage bypass for storing a gas sample of the target environment in the sampler for static sample injection verification.
In one embodiment, the detection and analysis module comprises a quick-release detection chamber, a constant temperature unit, a parameter extraction unit and an analysis host, wherein a sensor plugboard is installed in the quick-release detection chamber;
The constant temperature unit is used for controlling the temperature of the internal environment of the chamber of the quick-release detection chamber to be consistent and constant with the temperature of the target environment;
The parameter extraction unit is used for collecting output signals of each MOS gas sensor, converting the output signals into digital signals and transmitting the digital signals to the analysis host;
The analysis host is used for carrying out data preprocessing, feature extraction and evaluation analysis on the received digital signals.
In one embodiment, the constant temperature unit is mounted in the quick-release detection chamber through a silica gel heating belt, the sensor plugboard detects temperature information in a cavity of the quick-release detection chamber through a built-in temperature sensor and transmits the temperature information to the constant temperature unit, and the constant temperature unit adjusts the temperature of the silica gel heating belt through PWM waves so as to control the temperature of the internal environment of the cavity of the quick-release detection chamber to be consistent and constant with the temperature of the target environment.
In one embodiment, the parameter extraction unit dynamically adjusts the parameter extraction process by combining an adaptive optimization algorithm, and integrates a deep learning algorithm to perform feature extraction output on the sensor signal.
In one embodiment, the exhaust treatment module includes a vacuum pump, a directional valve, an exhaust collection chamber,
The vacuum pump is used for vacuumizing the quick-release detection chamber and creating a negative pressure environment to provide suction power for static air intake;
The directional valve is used for controlling the waste gas not to flow into the front end detection gas path;
and the waste gas collecting chamber is used for collecting waste gas discharged by the dynamic test.
In one embodiment, the multicomponent sample preparation air inlet module is further configured to obtain a concentration alarm value of each gas in the target environment, set a humidity value and a temperature value for preparing mixed gas according to temperature and humidity information of the target environment as the preset gas threshold, set a test concentration value of each gas to be mixed, and perform dynamic gas distribution and sample injection by using different combinations of a plurality of gases and using an orthogonal table as a tool; wherein the test concentration value of each gas is within a preset gas threshold range of each gas.
In one embodiment, the multicomponent sample preparation air inlet module is further configured to control the channel flow of each gas to perform proportioning and mixing according to gas combination parameters corresponding to different groups in an orthogonal table of an experimental design in a dynamic air distribution and sample injection process, and after the mixed gas of the current group is introduced for a preset time, switch the mixed gas of the next group of the current group to be introduced, and sequentially complete the mixed gas introduction process of each group in the orthogonal table of the experimental design.
In one embodiment, the detection analysis module is further configured to dynamically adjust response speed information, response degree information, response recovery speed information and dynamic characteristic curves extracted by parameters by adopting an adaptive optimization algorithm according to dynamic response of each MOS gas sensor corresponding to concentration values corresponding to each gas designed by orthogonal experiments, calculate a kendel correlation coefficient by combining with a deep learning algorithm, fit a response curve of each component gas concentration change of the sensor in a multicomponent gas environment, evaluate performance of each MOS gas sensor based on correlation magnitude and fitting degree, and rank performance of each MOS gas sensor.
According to the MOS gas sensor selection system under the target environment multicomponent gas, the multicomponent sample preparation gas inlet module prepares target concentration mixed gas according to the gas components under the target environment and the preset gas threshold value of each gas, the mixed gas is used as a gas source to be tested, the gas source to be tested is adopted to perform dynamic gas configuration gas inlet, the detection analysis module is used for performing correlation and fitness analysis by collecting gas test data of each candidate MOS gas sensor in the process of performing dynamic gas distribution test analysis by adopting the gas source to be tested, the performance of each candidate MOS gas sensor is subjected to comparison and sequencing, dynamic test evaluation results are obtained, the dynamic test evaluation results are used for representing the preferred MOS gas sensor, then the multicomponent sample preparation gas inlet module is used for obtaining a gas sample of the target environment for humidity control, the mixed gas is used as a sample gas source, static sample injection is performed by adopting the sample gas source, and then the detection analysis module is used for performing verification analysis by adopting the gas test data of the selected MOS gas sensor in the process of the sample gas source to obtain static verification results, the static verification results are used for representing whether the preferred MOS gas sensor is suitable for representing the target environment, the performance of the MOS gas sensor to be tested by the multicomponent sample preparation gas sensor is suitable for the performance of the target environment and the multicomponent environment, the MOS gas sensor is suitable for the performance of the multiple-sensor detection system under the condition of the multicomponent environment, the performance is suitable for the dynamic test system is suitable for the performance test, and the performance of the MOS sensor is suitable for being tested by the chosen by the multicomponent gas sensor, high efficiency target gas detection under multi-component gas of target environment can be realized.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the related art, the drawings that are needed in the description of the embodiments of the present application or the related technologies will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and other related drawings may be obtained according to these drawings without inventive effort to those of ordinary skill in the art.
FIG. 1 is a schematic diagram of a system for selecting MOS gas sensors under a target ambient multicomponent gas according to one embodiment;
FIG. 2 is a schematic diagram of an apparatus for a system for selecting a MOS gas sensor based on a multicomponent gas in a target environment according to an embodiment;
FIG. 3 is a flow chart of an experimental design of a MOS gas sensor selection system under a multicomponent gas based target environment according to an embodiment;
FIG. 4 is a schematic diagram of a quick release test chamber according to one embodiment.
Detailed Description
The present application 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 application 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 application.
Gas detection is one of important guarantees of safe production and stable operation in many industries, and is large enough to detect the concentration of specific component gases (such as CH 4、H2、CH2O、H2S、SO2 and the like) in corresponding target environments in coal mines, power industries, laboratories and automobile cabs. However, due to the large differences in gas composition, content and respective gas thresholds in different environments, most MOS gas sensors were prepared primarily for testing under single-type gas conditions to evaluate their performance. The MOS gas sensor has cross sensitivity to various gases, so that the accuracy of detecting the target gas in the mixed gas state of different usage scenarios can be greatly reduced and saturation is very easy.
Currently, MOS gas sensor performance is mainly evaluated in terms of sensitivity, selectivity, response recovery time, temperature and humidity characteristics, long-term stability, and the like. The method is mainly characterized in that equipment such as a dynamic air distribution system, a universal meter, a PC (personal computer) and the like are used for testing clean air, single gases with different concentrations, different humidities and single interference gases, data are recorded, and various performance indexes of the sensor are obtained after the data are processed. The method can show the performance advantages and disadvantages of the sensor to a certain extent, but has complex equipment, complicated method and low efficiency, and meanwhile, the method only carries out test and evaluation under single gas, ignores the influence of the cross sensitivity and the easy saturation characteristic of the sensor under the mixed gas background, and can not better express the applicable condition scene of the sensor, thereby easily generating early warning false alarm when being used in a target environment and causing the loss of manpower and material resources.
Aiming at the problems in the prior art, the application provides the MOS gas sensor selection system under the target environment multicomponent gas, which is based on the MOS gas sensor performance sorting selection device, the experimental design and the experimental method under the target environment multicomponent gas, and can evaluate and screen the sensor performance under the target environment condition to improve the detection precision aiming at different use scenes, thereby improving the production efficiency and the safety stability and realizing the MOS gas sensor evaluation with strong applicability, high efficiency, high precision and high reliability.
The system for selecting the MOS gas sensor under the multicomponent gas in the target environment provided by the application can comprise a multicomponent sample preparation air inlet module 101, a detection analysis module 102 and an exhaust gas treatment module 103 as shown in fig. 1. Specifically, the system may include:
The multi-component sample preparation air inlet module is used for preparing mixed gas with target concentration according to gas components in a target environment and preset gas thresholds of all gases, taking the mixed gas as an air source to be tested, and adopting the air source to be tested to execute dynamic gas configuration air inlet;
The detection analysis module is used for carrying out correlation and fitting degree analysis by collecting gas test data of each candidate MOS gas sensor in the process of carrying out dynamic gas distribution test analysis by adopting the gas source to be tested, and carrying out comparison and sequencing on performance performances of each candidate MOS gas sensor to obtain a dynamic test evaluation result; the dynamic test evaluation result is used for representing the optimized MOS gas sensor;
the multi-component sample preparation air inlet module is also used for acquiring a gas sample of the target environment for humidity control, taking the gas sample as a sample air source, and adopting the sample air source to perform static sample injection;
the detection analysis module is also used for carrying out verification analysis by collecting the gas test data of the optimized MOS gas sensor in the process of adopting the sample gas source to carry out static sample injection detection so as to obtain a static verification result; the static verification result is used for representing whether the optimized MOS gas sensor is suitable for detecting the multi-component gas in the target environment;
and the waste gas treatment module is used for assisting detection sample injection and waste gas collection so as to support the dynamic test evaluation function and the static verification function of the MOS gas sensor selection system under the target environment multicomponent gas.
In practical applications, as shown in fig. 2, the multicomponent sample preparation air intake module may have functions of dynamic gas configuration air intake, static sample injection of target ambient gas and sample humidity control based on the device structure of the MOS gas sensor selection system under the target ambient multicomponent gas in the embodiment, and may include a gas generating device 1, a gas mass flow controller MFC (such as MFC2, MFC3, MFC 4), a sampler 5, a two-way solenoid valve V6, a humidity control unit 7, and a two-way solenoid valve V8.
The detection and analysis module can comprise a quick-release detection chamber 11, a sensor plugboard 12, a constant temperature unit 13, a parameter extraction unit 14 and an analysis host 15; the detection analysis module can be used for realizing multi-component gas detection analysis experiments and verification, integrates data preprocessing and evaluation algorithms, and therefore can improve the detection precision and robustness of a detection system, and effectively screens out the MOS gas sensor with good gas selectivity, large response and high speed under a target environment.
The exhaust gas treatment module may include a pressure gauge P1, a two-way solenoid valve V9, a vacuum pump 17, a directional valve V10, and an exhaust gas collection chamber 16, and may be used to mainly assist in detecting sample injection and exhaust gas collection, and may be used to implement functions of dynamic test evaluation and static verification.
In an example, as shown in fig. 3, according to the experimental design of the MOS gas sensor selection system under the multicomponent gas in the target environment, the experimental design of the device is mainly based on the temperature and humidity information of the target environment, the alarm threshold value of each component gas and the mixed gas orthogonal experiment table, and the test analysis can be performed according to the recommended concentration dynamic distribution in the orthogonal experiment table, so that the sample injection analysis of the actual sample in the target environment collected by the sampler can be used to verify the rationality of the selected sensor. The device in the MOS gas sensor selection system under the multicomponent gas in the target environment has the advantages of simple structure, reasonable experimental design and high screening efficiency, so that a high-performance sensor (namely a optimized MOS gas sensor) suitable for a use scene can be rapidly selected from a plurality of candidate MOS gas sensors, and high-efficiency target gas detection can be realized under the multicomponent gas in the target environment.
Compared with the traditional method, the technical scheme of the embodiment has strong applicability, high efficiency, high precision and high reliability. The device in the MOS gas sensor selection system under the multi-component gas in the target environment can replace a traditional dynamic gas distribution system, a universal meter and a PC to carry out test and performance evaluation, so that the targeted efficient screening of the gas sensor in the target environment can be realized. Meanwhile, the quick-release detection chamber is assembled with the vacuum clamp and the sealing connector through special structural design, so that the gas quantity required by the test can be greatly reduced, and the air tightness of the cavity under the vacuum condition is greatly improved. The experimental design and the method can highly restore the gas state of the target environment, evaluate the performance of the sensor in the target environment from the relativity, fitting degree and the like through software and hardware and an algorithm by combining an orthogonal table, verify the evaluation result of the sensor through the actual gas sample injection in the target environment, and can effectively improve the accuracy and the reliability of gas detection.
In this embodiment, a multicomponent sample preparation air inlet module is used to prepare a mixed gas with a target concentration according to a gas component in a target environment and a preset gas threshold of each gas, the mixed gas is used as a gas source to be tested, a dynamic gas configuration air inlet is executed by adopting the gas source to be tested, a static verification result is obtained by a detection analysis module through collecting gas test data of each candidate MOS gas sensor to perform correlation and fitting degree analysis in the process of dynamic gas distribution test analysis by adopting the gas source to be tested, the performance of each candidate MOS gas sensor is subjected to comparison and sequencing to obtain a dynamic test evaluation result, then a multicomponent sample preparation air inlet module is used to obtain a gas sample in the target environment to perform humidity control, the gas sample is used as a sample gas source, a sample gas source is used to perform static sample injection, and further, in the process of static sample gas detection by adopting the sample gas source, the gas test data of the MOS gas sensor is collected and optimized by an exhaust gas treatment module is used to assist in detecting sample injection and exhaust gas collection, so that a dynamic test function and a static verification function of a MOS gas sensor selection system under the target environment can be supported, and the MOS sensor can be rapidly selected from multiple candidate gas sensors under the target environment to perform high performance test on the target environment.
In one exemplary embodiment, the multicomponent sample preparation air inlet module comprises a gas generating device, a gas mass flow controller, a sampler and a humidity control unit, wherein the gas generating device is used for preparing the air source to be tested according to the gas composition in the target environment and the preset gas threshold value of each gas; the gas mass flow controller is used for respectively controlling the flow of each gas and preparing the mixed gas with the target concentration; the sampler is used for extracting and temporarily storing a gas sample of the target environment; and the humidity control unit is used for controlling the humidity by humidifying or drying the dynamically prepared gas according to the humidity information in the target environment.
In a specific implementation, as shown in fig. 2, in the multicomponent sample preparation gas inlet module, a gas mass flow controller MFC may be connected to the gas generating device, which may formulate a gas source according to the gas composition and threshold value in the target environment; one end of the MFC can be connected with a gas generating device for controlling the flow of each component gas so as to prepare mixed gas with required concentration, and the other end of the MFC can be connected with a humidity control unit; the sampler can be connected with a two-way electromagnetic valve V6 which can be used for extracting and temporarily storing a gas sample of a target environment; one end of the two-way electromagnetic valve V6 can be connected with a sampler, and the other end can be connected with a humidity control unit; one end of the humidity control unit can be connected with a quick-release detection chamber, and the quick-release detection chamber can be used for humidifying or drying the dynamically prepared gas according to the humidity information in the target environment so as to ensure that the humidity is the same as the humidity in the target environment; one end of the two-way electromagnetic valve V8 can be connected between the humidity control unit and the quick-release detection chamber, the other end of the two-way electromagnetic valve V8 can be connected with the two-way electromagnetic valve V9, the two-way electromagnetic valve V8 can be opened and communicated to cooperate with static injection of the injector, and the V8 needs to be closed during dynamic air distribution test.
In an exemplary embodiment, the humidity control unit is internally provided with an adsorbent, an evaporator and a humidity sensor in sequence according to a gas flow direction, and the humidity control unit is further provided with a storage bypass for storing a gas sample of the target environment in the sampler for static sample injection verification.
In an example, the humidity control unit may be internally provided with an adsorbent, an evaporator and a humidity sensor in sequence according to the gas flow direction, and after the humidity value of the target environment is obtained and set, the evaporation water quantity and the evaporation rate of the evaporator can be adjusted through negative feedback so as to ensure that the dynamically prepared gas humidity value is consistent with the humidity value of the target environment; the humidity control unit may also be provided with a storage bypass that may be used to store a sample of gas within the target environment inside the sampler for static sample injection verification.
In an exemplary embodiment, the detection and analysis module comprises a quick-release detection chamber, a constant temperature unit, a parameter extraction unit and an analysis host, wherein a sensor plugboard is installed in the quick-release detection chamber; the constant temperature unit is used for controlling the temperature of the internal environment of the chamber of the quick-release detection chamber to be consistent and constant with the temperature of the target environment; the parameter extraction unit is used for collecting output signals of each MOS gas sensor, converting the output signals into digital signals and transmitting the digital signals to the analysis host; the analysis host is used for carrying out data preprocessing, feature extraction and evaluation analysis on the received digital signals.
For example, the detection and analysis module may have the functions of rapid sensor installation, multi-component gas detection, parameter extraction and analysis. In the detection analysis module, a dynamic air inlet end of the quick-release detection chamber can be connected with a humidity control unit, a dynamic air outlet end of the quick-release detection chamber can be connected with a directional valve V10, and a sensor plugboard can be arranged in the quick-release detection chamber; the constant temperature unit can realize that the internal environment temperature of the cavity is consistent and constant with the target environment temperature by controlling a silica gel heating belt attached to the outer wall of the quick-release detection chamber; the input end of the parameter extraction unit can be connected with the output end of the sealing connector of the quick-release detection chamber through a signal wire, the input end of the parameter extraction unit can convert a resistance signal of the MOS gas sensor into a voltage signal and stably filter the voltage signal, and the obtained analog quantity can be converted into digital quantity through an analog-to-digital conversion circuit and transmitted to an analysis host; the analysis host can receive the extracted digital signals, and further can perform data preprocessing, feature extraction and evaluation analysis on the digital signals.
Optionally, the analysis host can adopt a raspberry group (small single board computer) as an upper computer, and can carry a data analysis algorithm, run a man-machine interaction interface and display a performance sequencing result so as to display a recommended sensor selection scheme to support the efficient evaluation and screening functions of the MOS gas sensor selection system under the multicomponent gas of the target environment.
In an alternative embodiment, as shown in the schematic structural diagram of the quick-release detection chamber in fig. 4, the quick-release detection chamber may include an air supply and exhaust quick-screw joint 1, a detection chamber upper cover 2, an O-ring bracket 3, a vacuum clamp 4, a sensor plug board 5, a detection chamber base 6, an M6 outer hexagon bolt 7, a sealing connector 8 and a nut 9.
The joint of the exhaust quick-screwing joint 1 is designed with a fixed sealing O-shaped ring to ensure the air tightness under negative pressure, the two joints can be communicated according to a two-way electromagnetic valve V8 in FIG. 2 to cooperate with the static sample injection of the injector, and the V8 can be closed during dynamic gas distribution to realize the functions of dynamic and static; the upper cover 2 of the detection chamber can be designed into a flange structure, the inclination of the flange edge is 15 degrees to be matched with the vacuum clamp 4, and the internal volume of the upper cover is smaller than 10mL; the O-shaped ring bracket 3 can be of KF40 type size, so that the sealing of a cavity under negative pressure is applicable; the vacuum clamp 4 can be of KF40 type size and is used for connecting the upper cover 2 of the detection chamber and the base 6 of the detection chamber, and the vacuum clamp can have the function of quickly installing and detaching the detection chamber, so that the vacuum clamp is convenient for testing and replacing the selected sensor and has excellent air tightness; the sensor plugboard 5 can be designed into a six-bit universal pin definition socket, and for MOS gas sensors with different packages and different pin definitions, only the signal wire plugin method needs to be changed; the upper edge of the detection chamber base 6 can be designed into a flange shape with a slope of 15 degrees to be matched with the vacuum clamp 4 to tightly connect the detection chamber upper cover 2 with the detection chamber upper cover, the bottom of the detection chamber base can be designed into a planar flange shape, phi 7 through holes are formed to be matched with the sealing connector 8 to be tightly connected and sealed, and the middle through holes of the base are mainly used for installing a terminal connector and a terminal wire of the sensor plugboard 5 and inserting Pin pins at the inner side of the sealing connector 8; the sealing connector 8 can be arranged at the lower part of the base of the detection chamber and is connected with the sensor plugboard 5 through a signal wire so as to transmit analog signals; the M6 outer hexagon bolt 7 and the nut 9 may have a function of connecting the detection chamber base 6 and the seal connector 8.
Specifically, the quick-release detection chamber can be connected with the detection chamber upper cover 2 and the detection chamber base 6 in a sealing way through the KF40 type vacuum clamp, the fixed support and the O-shaped ring, and can be connected with the detection chamber base 6 in a sealing way through the outer hexagonal bolts, so that the assembly is integrated from top to bottom, the air supply and exhaust port can be positioned at the top of the detection chamber upper cover, and the air supply and exhaust port is connected with the air pipe through the quick-screwing joint, so that the gas can be uniformly blown to the front face of the sensor to obtain stable response.
In an exemplary embodiment, the constant temperature unit is attached to the quick-release detection chamber through a silica gel heating belt, the sensor plug board detects temperature information in the cavity of the quick-release detection chamber through a built-in temperature sensor and transmits the temperature information to the constant temperature unit, and the constant temperature unit adjusts the temperature of the silica gel heating belt through PWM waves so as to control the temperature of the internal environment of the cavity of the quick-release detection chamber to be consistent and constant with the temperature of the target environment.
In an example, the constant temperature unit can be attached to the quick-release detection chamber through a silica gel heating belt, and the sensor plug board can be internally provided with a temperature sensor so as to detect temperature information in the cavity and transmit the temperature information to the constant temperature unit; the temperature of the silica gel heating band can be regulated by PWM (Pulse Width Modulation Wave, pulse width modulation waveform) wave, so that the temperature in the cavity is consistent and constant with the target environment temperature.
In an exemplary embodiment, the parameter extraction unit dynamically adjusts the parameter extraction process by combining an adaptive optimization algorithm, and integrates a deep learning algorithm to perform feature extraction output on the sensor signal.
For example, the parameter extraction unit may use an adaptive particle swarm algorithm, optimize the search process by adaptively adjusting parameters such as iteration times and learning factors, and for a part of sensors with large initial extraction response and short time, use a convolutional neural network algorithm, and extract local features (such as response curves, recovery curves, and sensor baseline drift) through operations such as convolution and pooling, so as to allow the analysis host to perform performance evaluation. Therefore, the parameter extraction module can dynamically adjust the parameter extraction process by combining the self-adaptive optimization algorithm, the robustness and stability of the system are improved, and the deep learning algorithm is integrated to extract and output the characteristics of the sensor signal.
In an exemplary embodiment, the exhaust treatment module comprises a vacuum pump, a directional valve, and an exhaust collection chamber, wherein the vacuum pump is used for vacuumizing the quick-release detection chamber and creating a negative pressure environment to provide suction power for static air intake; the directional valve is used for controlling the waste gas not to flow into the front end detection gas path; and the waste gas collecting chamber is used for collecting waste gas discharged by the dynamic test.
In practical application, the waste gas treatment module can be used for auxiliary detection sample injection and waste gas collection, and in the waste gas treatment module, the pressure gauge P1 can be arranged between the quick-release detection chamber and the two-way electromagnetic valve V9; one end of the two-way electromagnetic valve V9 can be connected with the quick-release detection chamber; one end of the vacuum pump can be connected with a two-way electromagnetic valve V9 so as to vacuumize the detection chamber, eliminate the interference of residual gas in the cavity, and create a negative pressure environment to provide power for static air intake of the sampler and suck the static air into the quick-release detection chamber; one end of the directional valve V10 can be connected between the two-way electromagnetic valves V8 and V9 to prevent waste gas from flowing back into the front end detection gas path; one end of the exhaust gas collection chamber may be connected to a directional valve V10 for collecting the exhaust gas dynamically detected.
In an exemplary embodiment, the multicomponent sample preparation air inlet module is further configured to obtain a concentration alarm value of each gas in the target environment, set a humidity value and a temperature value for preparing a mixed gas according to temperature and humidity information of the target environment as the preset gas threshold, set a test concentration value of each gas to be mixed, and perform dynamic gas distribution and sample injection by using different combinations of a plurality of gases and using an orthogonal table as a tool; wherein the test concentration value of each gas is within a preset gas threshold range of each gas.
In a specific implementation, a corresponding experimental design may be proposed based on a MOS gas sensor selection system under a target environment multicomponent gas, as shown in fig. 3, and the method may include the following steps:
And step 1, confirming a target ambient gas threshold value. The method comprises the steps of confirming main components and concentration alarm values of ambient gas according to a use scene, setting an alarm value of target detection gas as a threshold value, acquiring temperature and humidity information of the use scene, selecting a temperature value and a humidity value with universality, and preliminarily selecting a batch of MOS gas sensors which are existing in the market and are suitable for the detection concentration range, wherein the MOS gas sensors are used as candidate MOS gas sensors;
Step 2, setting a humidity value of a humidity control unit and a temperature value of a constant temperature unit according to known target environment information, and setting various concentration values of mixed gas, so that an experiment scheme can be arranged by taking an orthogonal table as a tool based on each concentration value and each sensor model;
Step 3, dynamic gas distribution sample injection test can be carried out according to a designed experiment table, and the performances of the sensors in the group of experiments can be compared and sequenced by collecting and marking the output signals of the sensors and carrying out correlation and fitting degree analysis;
And step 4, because the gas components in the use scene of the target environment are more complex, the actual gas sample of the target environment can be acquired and obtained, and further, the analysis concentration value can be obtained through static sample injection detection, so that the suitability of the optimized sensor is verified, and the sensor has good performance (such as high selectivity, quick response, difficult saturation and the like).
In one example, in the above experimental design, the reference amount for evaluating the performance of the sensor increases the correlation that is not found in the conventional performance, the responsiveness, the response time, the recovery time, and the baseline drift value of each sensor for each component gas may be extracted from the data set obtained in the experiment to construct a data set of responsiveness-gas component class, response time-gas component class, recovery time-gas component class, baseline drift value-gas component class, and the like, and then the kendel correlation coefficient may be calculated, and the correlation of each index of the sensor for the gas component class may be compared and analyzed, if the correlation of the sensor for a certain gas component is larger than the correlation difference value of other gas (for example, 0.4 may be taken as the reference difference value), the sensor may prove to have excellent performance for the certain gas detection under the target environment.
In yet another example, for the above experimental design, the concentration value of each component should be within the threshold range, that is, the tested concentration value of each gas is within the preset gas threshold range of each gas, the ratio of the values distributed below one half of the threshold may be set to 30%, and the ratio of the distribution above one half of the threshold may be set to 70%, so as to highlight the accuracy of concentration detection near the analysis alarm value; each combination of component gases can be marked by codes, n random numbers are obtained by using a random number generation program, dynamic gas distribution tests are sequentially carried out according to the random number codes, the design of an orthogonal table can be Ln (s1×s2× … ×sr), and r is the component number of the mixed gas, so that experiments are further carried out according to the orthogonal table.
In an exemplary embodiment, the multicomponent sample preparation air intake module is further configured to control the channel flow of each gas to perform proportioning and mixing according to the gas combination parameters corresponding to different groups in the orthogonal table of the experimental design in the dynamic air distribution and sample injection process, and after the mixed gas of the current group is introduced for a preset time, switch the mixed gas of the next group of the current group to be introduced, and sequentially complete the mixed gas introduction process of each group in the orthogonal table of the experimental design and sequence.
In practical application, a corresponding experimental method can be provided based on a MOS gas sensor selection system under a target environment multicomponent gas, and the experimental method can include the following steps:
step (1), the device can be initialized, the MFC2, the MFC3 and the MFC4 are closed, and the two-way electromagnetic valve V6, the two-way electromagnetic valve V8 and the two-way electromagnetic valve V9 are closed, so that the interior of the sampler is clean without a sample, the interior of the waste gas collecting chamber is free from waste gas, and a batch of initially selected sensors can be arranged on a sensor plugboard and an air chamber is well arranged;
Step (2), a two-way electromagnetic valve V9 is opened, a vacuum pump is started, and residual gas in the quick-release detection chamber and the gas circuit is pumped out;
Step (3), when the indication of the pressure gauge P1 reaches a first set value, the vacuum pump can be closed, the two-way electromagnetic valve V9 is closed, the humidity value of the humidity control unit is set to be consistent with the humidity value of the target environment, and the temperature value of the constant temperature unit is set to be consistent with the temperature value of the target environment;
step (4), the gas generating device can provide a threshold concentration gas source of each component of the target environment, and through adjusting the flow of each channel of the MFC2, the MFC3 and the MFC4, each concentration mixed gas of the experimental design can be proportioned, and then after 5 minutes (namely preset time) of concentration mixed gas is introduced into each group of set concentration mixed gas, the next group of concentration mixed gas is switched, and each group of concentration of the experimental design is sequentially introduced;
step (5), the parameter extraction unit can upload the analysis host to analyze and evaluate the performance after extracting and preprocessing the data so as to obtain the sensor performance sequencing and the optimal sensor result;
Step (6), a two-way electromagnetic valve can be opened to slowly push the collected target environmental gas sample at a constant speed, and the sample is injected into a storage bypass of the humidity control unit for static verification;
Step (7), executing the steps (2) - (3);
step (8), a two-way electromagnetic valve V8 can be opened, and a storage bypass of the humidity control unit is opened, so that gas is injected;
step (9), when the indication of the pressure gauge P1 reaches a second set value, a control bypass of the humidity control unit can be closed so as to test and verify the sensor;
Step (10), comparing whether the sensor and the sequence which are optimized by the dynamic gas distribution test are consistent with the sampling result of the target environmental gas which is verified statically by executing the step (5); if the sensor is consistent, the sensor which can be characterized and selected preferably can be suitable for detecting the characteristic gas of the target environment, and if the sensor is inconsistent, a new batch of sensors needs to be replaced for experimental analysis and verification.
Alternatively, the first set value in the step (3) may be 3kPa absolute, and the second set value in the step (9) may be 101.325kPa.
In an exemplary embodiment, the detection analysis module is further configured to dynamically adjust response speed information, response degree information, response recovery speed information and dynamic characteristic curve extracted by parameters according to dynamic response of each MOS gas sensor corresponding to concentration values corresponding to each gas designed by orthogonal experiments, calculate a kendel correlation coefficient by combining with a deep learning algorithm, fit a response curve of each component gas concentration change of the sensor in a multicomponent gas environment, evaluate performance of each MOS gas sensor based on correlation magnitude and fitting degree, and rank performance of each MOS gas sensor.
In an example, in a corresponding experimental design provided by a MOS gas sensor selection system under a multicomponent gas of a target environment, with respect to the correlation and fitting degree analysis in step 3, an adaptive optimization algorithm may be adopted to dynamically adjust parameters to extract response speed information, responsivity information, response recovery speed information and dynamic characteristic curves of the sensors according to dynamic responses of the sensors corresponding to concentration values designed by orthogonal experiments, and a kendel correlation coefficient may be calculated by combining with a deep learning algorithm, and response curves of the sensors for concentration changes of the components under a mixed gas environment may be fitted, so that sensor performance may be evaluated from the correlation and fitting degree, and ranking may be performed.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, database, or other medium used in embodiments provided herein may include at least one of non-volatile memory and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, high density embedded nonvolatile Memory, resistive random access Memory (RESISTIVE RANDOM ACCESS MEMORY, reRAM), magneto-resistive Memory (Magnetoresistive Random Access Memory, MRAM), ferroelectric Memory (Ferroelectric Random Access Memory, FRAM), phase change Memory (PHASE CHANGE Memory, PCM), graphene Memory, and the like. Volatile memory can include random access memory (Random Access Memory, RAM) or external cache memory, and the like. By way of illustration, and not limitation, RAM can be in various forms such as static random access memory (Static Random Access Memory, SRAM) or dynamic random access memory (Dynamic Random Access Memory, DRAM), etc. The databases referred to in the embodiments provided herein may include at least one of a relational database and a non-relational database. The non-relational database may include, but is not limited to, a blockchain-based distributed database, and the like. The processor referred to in the embodiments provided in the present application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic unit, a data processing logic unit based on quantum computation, an artificial intelligence (ARTIFICIAL INTELLIGENCE, AI) processor, or the like, but is not limited thereto.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the present application.
The foregoing examples illustrate only a few embodiments of the application and are described in detail herein without thereby limiting the scope of the application. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the application, which are all within the scope of the application. Accordingly, the scope of the application should be assessed as that of the appended claims.
Claims (6)
1. A MOS gas sensor selection system for a target ambient multicomponent gas, the system comprising:
The multi-component sample preparation air inlet module is used for preparing mixed gas with target concentration according to gas components in a target environment and preset gas thresholds of all gases, taking the mixed gas as an air source to be tested, and adopting the air source to be tested to execute dynamic gas configuration air inlet;
The detection analysis module is used for carrying out correlation and fitting degree analysis by collecting gas test data of each candidate MOS gas sensor in the process of carrying out dynamic gas distribution test analysis by adopting the gas source to be tested, and carrying out comparison and sequencing on performance performances of each candidate MOS gas sensor to obtain a dynamic test evaluation result; the dynamic test evaluation result is used for representing the optimized MOS gas sensor;
the multi-component sample preparation air inlet module is also used for acquiring a gas sample of the target environment for humidity control, taking the gas sample as a sample air source, and adopting the sample air source to perform static sample injection;
the detection analysis module is also used for carrying out verification analysis by collecting the gas test data of the optimized MOS gas sensor in the process of adopting the sample gas source to carry out static sample injection detection so as to obtain a static verification result; the static verification result is used for representing whether the optimized MOS gas sensor is suitable for detecting the multi-component gas in the target environment;
the waste gas treatment module is used for assisting detection sample injection and waste gas collection so as to support a dynamic test evaluation function and a static verification function of the MOS gas sensor selection system under the target environment multicomponent gas;
wherein the multicomponent sample preparation air inlet module comprises a gas generating device, a gas mass flow controller, a sampler and a humidity control unit,
The gas generating device is used for preparing the gas source to be tested according to the gas components in the target environment and preset gas thresholds of the gases;
the gas mass flow controller is used for respectively controlling the flow of each gas and preparing the mixed gas with the target concentration;
The sampler is used for extracting and temporarily storing a gas sample of the target environment;
The humidity control unit is used for controlling the humidity through humidifying or drying the dynamically prepared gas according to the humidity information in the target environment;
The detection and analysis module comprises a quick-release detection chamber, a constant temperature unit, a parameter extraction unit and an analysis host, wherein a sensor plugboard is arranged in the quick-release detection chamber;
The constant temperature unit is used for controlling the temperature of the internal environment of the chamber of the quick-release detection chamber to be consistent and constant with the temperature of the target environment;
The parameter extraction unit is used for collecting output signals of each MOS gas sensor, converting the output signals into digital signals and transmitting the digital signals to the analysis host;
The analysis host is used for carrying out data preprocessing, feature extraction and evaluation analysis on the received digital signals;
The parameter extraction unit dynamically adjusts the parameter extraction process by combining an adaptive optimization algorithm, and performs feature extraction output on the sensor signal by integrating a deep learning algorithm;
The detection analysis module is further used for dynamically adjusting response speed information, response degree information, response recovery speed information and dynamic characteristic curves extracted by parameters according to dynamic response of each MOS gas sensor corresponding to concentration values corresponding to each gas designed by orthogonal experiments, calculating Kendel correlation coefficients by combining a deep learning algorithm, fitting response curves of each component gas concentration change of the sensor in a multicomponent gas environment, evaluating the performance of each MOS gas sensor based on the correlation and the fitting degree, and sequencing the performance of each MOS gas sensor.
2. The system of claim 1, wherein the humidity control unit is internally provided with an adsorbent, an evaporator and a humidity sensor in sequence according to a gas flow direction, and the humidity control unit is further provided with a storage bypass for storing a gas sample of the target environment inside the sampler for static sample injection verification.
3. The system according to claim 1, wherein the thermostat unit is attached to the quick-release detection chamber through a silica gel heating belt, the sensor plug board detects temperature information in the quick-release detection chamber through a built-in temperature sensor and transmits the temperature information to the thermostat unit, and the thermostat unit adjusts the temperature of the silica gel heating belt through a PWM wave so as to control the temperature of the internal environment of the quick-release detection chamber to be consistent and constant with the temperature of the target environment.
4. The system of claim 1, wherein the exhaust treatment module comprises a vacuum pump, a directional valve, an exhaust collection chamber,
The vacuum pump is used for vacuumizing the quick-release detection chamber and creating a negative pressure environment to provide suction power for static air intake;
The directional valve is used for controlling the waste gas not to flow into the front end detection gas path;
and the waste gas collecting chamber is used for collecting waste gas discharged by the dynamic test.
5. The system according to claim 1, wherein the multicomponent sample preparation air intake module is further configured to obtain a concentration alarm value of each gas in the target environment, set a humidity value and a temperature value for preparing a mixed gas according to temperature and humidity information of the target environment as the preset gas threshold, set a test concentration value of each gas to be mixed, and perform dynamic gas distribution and sample injection by using different combinations of a plurality of gases and using an orthogonal table as a tool; wherein the test concentration value of each gas is within a preset gas threshold range of each gas.
6. The system of claim 5, wherein the multicomponent sample preparation air intake module is further configured to control the channel flow of each gas to perform proportioning and mixing according to the gas combination parameters corresponding to different groups in the orthogonal table of the experimental design in the dynamic air distribution and sample injection process, and after the mixed gas of the current group is introduced for a preset time, switch the mixed gas of the next group of the current group to be introduced, and sequentially complete the mixed gas introduction process of each group in the orthogonal table of the experimental design.
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| CN105866331A (en) * | 2016-03-28 | 2016-08-17 | 宁波大学 | Gas sensor test system for dynamic and static gas distribution dual purposes |
| CN108918602A (en) * | 2018-05-18 | 2018-11-30 | 陕西科技大学 | A kind of semiconductor gas sensor Performance Test System and test method |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN105866331A (en) * | 2016-03-28 | 2016-08-17 | 宁波大学 | Gas sensor test system for dynamic and static gas distribution dual purposes |
| CN108918602A (en) * | 2018-05-18 | 2018-11-30 | 陕西科技大学 | A kind of semiconductor gas sensor Performance Test System and test method |
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