CN111766273A - Atmospheric gridding monitoring system and method by utilizing gas sensor array - Google Patents

Atmospheric gridding monitoring system and method by utilizing gas sensor array Download PDF

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Publication number
CN111766273A
CN111766273A CN202010643562.3A CN202010643562A CN111766273A CN 111766273 A CN111766273 A CN 111766273A CN 202010643562 A CN202010643562 A CN 202010643562A CN 111766273 A CN111766273 A CN 111766273A
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gas
monitoring
sensing unit
drying
gas sensing
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CN111766273B (en
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范智勇
陈卓
周清峰
何颂贤
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Ai Gan Technology Guangdong Co ltd
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Ai Gan Technology Guangdong Co ltd
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N27/00Investigating or analysing materials by the use of electric, electrochemical, or magnetic means
    • G01N27/02Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating impedance
    • G01N27/04Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating impedance by investigating resistance
    • G01N27/12Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating impedance by investigating resistance of a solid body in dependence upon absorption of a fluid; of a solid body in dependence upon reaction with a fluid, for detecting components in the fluid
    • G01N27/125Composition of the body, e.g. the composition of its sensitive layer
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B01PHYSICAL OR CHEMICAL PROCESSES OR APPARATUS IN GENERAL
    • B01DSEPARATION
    • B01D53/00Separation of gases or vapours; Recovering vapours of volatile solvents from gases; Chemical or biological purification of waste gases, e.g. engine exhaust gases, smoke, fumes, flue gases, aerosols
    • B01D53/26Drying gases or vapours
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N1/00Sampling; Preparing specimens for investigation
    • G01N1/28Preparing specimens for investigation including physical details of (bio-)chemical methods covered elsewhere, e.g. G01N33/50, C12Q
    • G01N1/44Sample treatment involving radiation, e.g. heat

Abstract

The invention relates to an atmospheric gridding monitoring system by utilizing a gas sensor array, which comprises: the system comprises a gas sensing unit and a cloud server. The number of the gas sensing units corresponds to the number of the air monitoring stations arranged in a gridding manner in the monitoring area, and at least one monitoring signal which can reflect the pollution degree of the target gas and is acquired by the gas sensing units can be sent to the cloud server; the cloud server can convert monitoring signals sent by the gas sensing units in the monitoring area into monitoring data. The gas sensing unit comprises at least two sensors integrated on the same substrate, so that the gas sensing unit can detect the target gas in an array mode, and the defects of poor gas selectivity and cross response of the traditional metal oxide sensor are overcome.

Description

Atmospheric gridding monitoring system and method by utilizing gas sensor array
Technical Field
The invention relates to the technical field of air monitoring, in particular to an atmospheric gridding monitoring system by utilizing a gas sensor array.
Background
With the development of industrial technology in China, air pollution becomes an important factor restricting the development of the air pollution. The atmospheric grid monitoring is used as a supplement of the current city control monitoring station, and has the characteristics of relatively low cost, easiness in construction and wide coverage. Atmospheric gridding monitoring becomes a development trend in the fields of environmental monitoring and atmospheric pollution early warning under the policy of parallel environmental protection and emergency development in a new era. For example, the micro monitoring stations commonly found in the market comprise SGA-500A-AQI equipment of Shenzhen Shenzhou An electronic technology Limited, AQMS-300 equipment of light gathering technology, XHAQSN-808 equipment of Hebei Xianhe environmental protection, and the like.
Furthermore, for example, the chinese patent publication No. CN107612999A discloses an atmosphere gridding accurate monitoring system, which includes a sensor, a standard instrument and a cloud server, wherein the standard instrument and the sensor are integrated with wireless communication devices for transmitting monitoring signals to the cloud server, the monitoring system mainly introduces the standard instrument for calibration of the sensor, so as to make the measured value more accurate, when the system is used, firstly, the atmosphere of the region to be monitored is monitored in a relatively stable time period, the sensor and the standard instrument respectively transmit the monitoring signals to a cloud computer, the cloud computer converts the monitoring signals into atmosphere monitoring data, the data from the sensor is compared and calibrated with the data from the standard instrument, thereby forming a sensor data calibration formula, each sensor has a relatively independent data calibration formula, after calibration, the sensor sends monitoring signals to the cloud computer at intervals, the cloud computer converts the monitoring signals into atmospheric monitoring data and then calibrates the data according to a calibration formula to obtain corrected atmospheric monitoring data, and accurate atmospheric gridding monitoring is achieved.
At present, gas sensors widely adopted in a micro air station are often electrochemical sensors, each type of gas corresponds to one sensor, namely, a single device is provided with four different types of electrochemical gas sensors. As the time of use increases, the consumption of electrolyte in the electrochemical sensor, the aging of the electrodes, and the decay of the filtering effect of the filtering membrane can cause drift in the baseline of the sensor and changes in sensitivity, with a lifetime often ranging from one to two years.
Furthermore, on the one hand, due to the differences in understanding to the person skilled in the art; on the other hand, since the inventor of the present invention has studied a lot of documents and patents when making the present invention, but the space is not limited to the details and contents listed in the detailed description, however, the present invention is by no means characterized in these prior art, but the present invention has been provided with all the features of the prior art, and the applicant reserves the right to increase the related prior art in the background art.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides an atmospheric gridding monitoring system by utilizing a gas sensor array, which comprises: gaseous sensing unit, the quantity of its quantity and the monitoring area in with the air monitoring station of meshing arrangement correspond each other to can send the monitoring signal that at least one kind of its collection can react the gaseous pollution degree of target to the high in the clouds server, the high in the clouds server will gaseous sensing unit in the monitoring area sends monitoring signal converts monitoring data into, gaseous sensing unit includes at least two kinds of sensors of integrating in same basement, so that gaseous sensing unit can be right with the mode of array target gas surveys.
According to a preferred embodiment, the gas sensing unit integrates the sensor in an array of at least two different sensing pixels.
According to a preferred embodiment, the sensor is a metal oxide gas sensor.
According to a preferred embodiment, the cloud server can compare the data to be calibrated collected by the gas sensing unit in the same time period with the standard data of the portable gas analyzer, so as to generate the calibration model of the monitoring system.
According to a preferred embodiment, the gas sensing unit is preceded by a gas drying unit, so that the gas drying unit can dry the target gas before the target gas enters the gas sensing unit, wherein the gas drying unit is provided with at least two drying chambers which are conductive to the gas sensing unit and are connected in parallel with each other, so that the target gas entering the gas sensing unit can be in a suitable humidity range. In the invention, the gas drying unit comprises a plurality of drying chambers connected in parallel. A drying agent is placed in the drying chamber. Each drying chamber can be conducted with the air path switching device. The drying agent can be dehumidified by the heater, so that the effect of repeated recycling is achieved. The processor can introduce the target gas from the operating drying chamber into another drying chamber that is not yet operating based on the humidity change amount, and shut down the operating drying chamber. For example, the variation of the humidity before drying and the humidity after drying is approximately equal to 0, which proves that the drying chamber in operation loses the dehumidification function, that is, when the drying agent gradually loses efficacy, the processor starts the air path switching device, and switches the air path to enable the air to pass through another drying chamber, so as to effectively remove the humidity. The air inlet drying and filtering system can keep the air flowing into the sensor air cavity at a stable humidity and keep the sensor head clean; meanwhile, due to the multi-path switchable design, the maintenance frequency can be reduced, the gridding atmosphere monitoring is facilitated, and the long-time and stable control of humidity and dust interference can be realized.
According to a preferred embodiment, the at least two drying chambers are each provided with a heater so that the drying unit can continuously dehumidify the target gas with the at least two drying chambers being spaced apart.
According to a preferred embodiment, the at least two drying chambers connected in parallel can be communicated with the air path switching device, and the air path switching device can introduce the target gas to be measured into another drying chamber from one drying chamber under the condition that the processor sends a switching instruction generated based on the humidity variation before and after the target gas is dried to the air path switching device.
According to a preferred embodiment, the processor sends a switching instruction to the air path switching device in such a way that the humidity of the target gas after being dried by the drying chamber can be within a preset range of the air sensing unit.
According to a preferred embodiment, the invention discloses an atmosphere gridding monitoring method of a gas sensor array, which comprises the following steps: arranging and monitoring the regional internal gas sensing unit that the quantity of arranging with the air monitoring station that the meshing was arranged corresponds, will gas sensing unit and high in the clouds server communication connection, so that gas sensing unit can send its at least one monitoring signal that can reflect the gaseous pollution degree of target of gathering to the high in the clouds server, the high in the clouds server configuration can with gas sensing unit in the monitoring region sends monitoring signal converts monitoring data into, will gas sensing unit configuration is including at least two kinds of sensors of integration in same basement, so that gas sensing unit can be right with the mode of array target gas surveys.
According to a preferred embodiment, in the method the gas sensing unit integrates the sensor in an array of at least two different sensing pixels.
Drawings
FIG. 1 is a block schematic diagram of a monitoring system provided by the present invention; and
fig. 2 is a schematic diagram of a drying implementation provided by the present invention.
List of reference numerals
100: gas sensing unit 600: drying unit
200: cloud server 600 a: drying chamber
300: portable gas analyzer 600 b: heating device
400: the processor 700 a: first humidity sensor
500: gas path switching device 700 b: second humidity sensor
Detailed Description
This is described in detail below with reference to figures 1 and 2.
Example 1
The embodiment discloses an atmospheric gridding monitoring system using a gas sensor array, which comprises: gas sensing unit 100 and cloud server 200.
The arrangement position of the micro workstation needs to comprehensively consider the factors such as population density, pollution source density, gas circulation degree, communication signal intensity and the like. Generally, in places with high population density, more densely arranged sites are needed; around factories, construction sites and urban main roads. More densely populated sites are required; the stations are generally installed in the places where the open air flows smoothly, such as roofs, street lamp posts and the like; the site needs to have good signal strength, and 2G/3G/4G network uploading is realized. By combining and analyzing meteorological data and municipal traffic data, dense distribution can be performed on wind ports and urban congested road sections under pollution sources in a targeted manner, so that monitoring is more representative.
Atmospheric environment monitoring is one of the important measures for atmospheric early warning and treatment. More and more intelligent devices and intelligent methods are applied to the field. For example, the atmospheric environmental parameter real-time measurement system disclosed in patent application No. cn201520463989.x realizes multi-point fast real-time measurement and monitoring of atmospheric environmental parameters through a wireless communication technology of a self-organizing network, and is suitable for grid high-density real-time multi-parameter synchronous measurement of atmospheric environmental parameters. For example, patent application No. CN201610621570.1 discloses a device and a method for regional air quality control, in which meteorological and atmospheric pollutant detection instruments are densely arranged in a certain region in a grid manner, and meanwhile, the working conditions and emission reduction efficiency of emission reduction facilities of various pollution sources emitting exhaust gas in the region are monitored online, and an automatic air sampling device is provided when set conditions are met; the online monitoring data are uploaded to a central server through the Internet for big data processing analysis, the pollutant concentration change and the situation analysis of the preset space point position are predicted, a control strategy is selected preferably, and the accurate monitoring and control of the air quality are achieved.
Therefore, the gas sensing unit 100 and the cloud server 200 in the present embodiment may be products in the prior art. Moreover, the implementation of the communication between the gas sensing unit 100 and the cloud server 200 is also known in the art, and therefore, the detailed description thereof is omitted.
In the present invention, the number of the gas sensing units 100 corresponds to the number of the air monitoring stations arranged in a grid manner in the monitoring area, and at least one monitoring signal capable of reflecting the target gas pollution degree, which is acquired by the gas sensing units, can be sent to the cloud server 200. The cloud server 200 converts the monitoring signal sent by the gas sensing unit 100 in the monitoring area into monitoring data for presenting the degree. Preferably, the gas sensing unit 100 integrates the sensor in the form of an array of at least two different sensing pixels. Preferably, the sensor is a metal oxide gas sensor. A sensing pixel, i.e. a single gas sensor. When two or more different gas sensors are grouped in an array, these gas sensors are also referred to as sensor pixels, analogous to one light-sensitive pixel in an image sensor array. As used herein, different sensing pixels (sensors) include sensors of different metal oxides, or sensors of the same type of metal oxide modified with different metals, or sensors of the same type operating at different heating temperatures, etc. The arrangement of the gas sensors is not fixed, and can be a circular array or a square array. The key is to arrange a plurality of different sensors in a small area so that the atmosphere to which the different sensors are exposed remains uniform.
The signals of the sensors in the gas sensor array need to pass through a recognition algorithm before gas concentration information can be obtained. After a certain gas or gases are contacted with the gas sensor array, the response of each sensor in the array to the same gas atmosphere is different, so that the response of different sensors in the array forms a specific response profile of the array to the gas atmosphere, which can also be called a response mode. By using a pattern recognition algorithm such as KNN, SVM and the like, the recognition of a response pattern can be realized, and then the information of the gas to be detected is obtained. The specific flow is 1), in a laboratory, exposing a gas sensor array to a known gas atmosphere, and recording response data of all sensors in the array; 2) changing the gas atmosphere, and recording the array response modes under different gas atmospheres; 3) training a recognition algorithm by using the obtained data; 4) and carrying out field test on the unknown gas range by using the trained recognition algorithm. The following example is an array containing 16 sensors, and after the PCA algorithm, the responses of the array to hydrogen, nitrogen dioxide, formaldehyde and toluene can be distinguished, and information of the gas species and concentration can be obtained. The set of mode recognition algorithm can select to operate on an onboard microprocessor in the micro air station according to the complexity, and directly uploads the gas type and concentration information to a cloud. The raw data of all the sensors can be directly uploaded to the cloud end, and after the cloud end server operates a pattern recognition algorithm, the gas concentration type and the concentration information are displayed.
Ideally, the number of gas sensors is equal to the number of types of gas to be measured, in which case each gas sensor is responsive to only one gas, i.e. has absolute selectivity; however, it is realistic that metal oxide gas sensors often respond to multiple gases and a single sensor cannot be used to test a specific gas. The inventors have therefore adopted a strategy of using a much larger number of sensors than the number of gas species to be measured (e.g. 16 sensors for 4 gases) in an array, with each sensor responding differently to the gas species to be measured. When a gas sensor array is contacted with one or more gases to be detected, the response (such as the proportional change of resistance) of the sensors in the array has a different distribution, and the type and the concentration of the contacted gas are obtained by analyzing the response distribution diagram and combining a pattern recognition algorithm.
The signals output by the sensors need to pass through a recognition algorithm to obtain the information of the gas concentration and the gas type. When the sensor leaves factory for calibration and identification algorithm training, different gas atmospheres are created under a certain temperature and humidity combination, and then output data of the sensor array is recorded for training identification algorithms of different gas atmospheres under the temperature and humidity combination. And then, changing the temperature and humidity combination to obtain a new identification algorithm of different gas atmospheres under the temperature and humidity combination. By analogy, corresponding recognition algorithms are trained under different temperature and humidity gradient combinations (the temperature is 0-40 ℃, and the humidity is 20% to 90%). Therefore, in actual use, in addition to recording the output of the sensor array, the temperature and humidity information at the moment is recorded, and then the identification algorithm which is most similar to the temperature and humidity combination is selected to convert the output of the array into the gas type and concentration.
The micro workstation continuously carries out the operation, and data are uploaded to the cloud end at intervals. If the pollutant fluctuates less along with the time, the data uploading frequency can be properly reduced (for example, once in 5 minutes), and the data flow consumption is reduced; if the concentration of the pollutants suddenly changes, the trend of the pollutants needs to be accurately monitored, or the pollutants need to be monitored in a specific time period in a specific area (such as steal monitoring), the data uploading frequency can be increased (such as once every 5-30 seconds) so as to obtain more accurate data.
Example 2
The embodiment discloses an atmospheric gridding monitoring method of a gas sensor array. This embodiment may be further improved and/or supplemented by embodiment 1 or a combination thereof, and repeated contents are not described again. The present embodiment discloses that, in the case of no conflict or contradiction, the whole and/or part of the contents of the preferred implementation modes of other embodiments can be supplemented by the present embodiment.
Preferably, the cloud server 200 can compare the data to be calibrated collected by the gas sensing unit 100 in the same time period with the standard data of the portable gas analyzer 300, so as to generate a calibration model of the monitoring system. In the application of remote calibration, the micro air station uploads the original data of the sensor array, the ambient temperature and the ambient humidity to the cloud end; and meanwhile, the data of the adjacent standard gas analyzer is also uploaded to the cloud. And at the cloud end, after enough response data of different gas atmospheres under the temperature and humidity combination are accumulated, retraining the recognition algorithm under the temperature and humidity combination. And training the identification algorithm of other temperature and humidity combinations according to the steps.
Example 3
The embodiment discloses an atmospheric gridding monitoring method of a gas sensor array. This embodiment may be further improved and/or supplemented by embodiments 1 and 2 or a combination thereof, and repeated contents are not described again. This example discloses that, without causing conflict or contradiction, the whole and/or partial contents of the preferred embodiments of other examples can be supplemented by this example.
In the case of metal oxide semiconductor gas sensors (air detection cells), humidity, i.e., water, has a variety of effects on the surface of the gas sensitive material, including changing the number of free electrons, changing the electron affinity or occupying active sites, etc., which results in a drift of the sensor baseline and a change in the sensitivity of the response to the target gas. For electrochemical gas sensors, humidity affects the rate of redox reactions at the electrodes, which in turn causes baseline drift and changes in sensitivity to the target gas response. Since the sensor is generally calibrated in dry air before leaving the factory, the higher the humidity in actual use, the greater the influence on the sensitivity of the sensor. (atmospheres below 20% relative humidity can be approximated as dry air) since in outdoor applications the relative humidity can vary from 30% to 95% during different seasons and the relative humidity can be doubled between day and night, requiring that the sensor must compensate for humidity to obtain accurate gas concentration data (active compensation) or to control the air humidity to a small reasonable range (e.g. less than 50%, passive compensation).
Preferably, the gas sensing unit 100 is preceded by a gas drying unit 600, so that the gas drying unit 600 can dry the target gas before the target gas enters the gas sensing unit 100. In the invention, the gas drying unit comprises a plurality of drying chambers connected in parallel. The drying chamber is internally provided with a drying agent. Each drying chamber can be conducted with the gas circuit switching device. The drying agent can be dehumidified by the heater, so that the effect of repeated recycling is achieved. The processor 400 can shut down the operating drying chamber by introducing the target gas from the operating drying chamber to another drying chamber that has not been operated based on the amount of humidity change. For example, the variation of the humidity before drying and the humidity after drying is approximately equal to 0, which proves that the drying chamber in operation loses the dehumidification function, that is, when the drying agent gradually loses efficacy, the processor starts the air path switching device, and switches the air path to enable the air to pass through another drying chamber, so as to effectively remove the humidity. The air inlet drying and filtering system can keep the air flowing into the sensor air cavity at a stable humidity and keep the sensor head clean; meanwhile, due to the multi-path switchable design, the maintenance frequency can be reduced, the gridding atmosphere monitoring is facilitated, and the long-term and stable control of humidity and dust interference can be realized. The first humidity sensor 700a measures the humidity of the target gas before drying before the target gas enters the drying unit 600. After the target gas is dried by the drying unit 600, the second humidity sensor 700b measures the humidity of the target gas after drying. The humidity measured by the first and second humidity sensors 700a and 700b is transmitted to the processor 400 by a signal. The processor 400 is able to calculate the amount of change in humidity.
Preferably, the at least two drying chambers 600a are each provided with a heater 600b so that the drying unit 600 can continuously dehumidify the target gas in a spaced manner of the at least two drying chambers 600 a. Because miniature air monitoring station sets up in the open air, consequently, power supply unit mainly adopts solar energy power generation or wind energy power generation, and it can gather the energy of nature and carry out autonomic power supply, can effectively reduce power supply unit's maintenance and battery replacement. And, heater 600b need not turn on at all times and heats, and it can heat the dehumidification to the drying chamber at night, and heating equipment can utilize solar energy to charge daytime. The heater 600b can be activated after the corresponding drying chamber 600a dries the gas and in an idle state, and is used to heat and dehumidify the drying chamber 600 a. Preferably, the heater 600b can be activated in response to a heating command of the processor 400 for heating and dehumidifying the drying chamber 600 a. The processor 400 may issue a heating command to the heater 600b only when the drying chamber 600a in the dryer 600 is used by a certain amount, so that the used drying chamber 600a can be simultaneously conducted for dehumidification, which may enable the power supply device to have sufficient power supply. Alternatively, the processor 400 may monitor the power of the power supply device and calculate the number of heaters 200b that can be activated by the power supply device.
Preferably, the processor 400 sends a switching instruction to the air path switching device 500 in such a manner that the humidity of the target gas after being dried by the drying chamber 600a can be within a preset range of the air sensing unit 300. The humidity value of the dried target gas passing through the drying chamber 600a needs to satisfy a certain humidity environment, so that the sensor in the gas sensing unit 100 can be cleaned under the action of the target gas, which is beneficial to improving the sensitivity of the sensor. Therefore, the processor 400 generates a switching instruction to cause the air path switching device 500 to switch the next drying chamber 600a to meet the humidity requirement if the humidity of the target gas after being dried by the drying chamber 600a is not within the preset range of the gas sensing unit 100.
Preferably, the processor 400 is capable of communicative connection with the cloud server 200. For example, the processor 400 and the cloud server 200 may be connected by using a communication protocol such as 4G, 5G, Wifi, and the like.
In the actual operation process, the humidity of the drying agent can follow the service time t of the corresponding drying chambernAnd increases, which causes the humidity of the air entering the gas sensing unit 100 to change in the period of time, on one hand, the parameters of the gas sensing unit 100 need to be reconfigured when switching to the next drying chamber, and the configuration control function of the processor 400 on the gas sensing unit 100 needs to be added; on the other hand, the lifetime of the desiccant is reduced. To this end, the present embodiment discloses a preferred method of using a drying chamber: and returning the detected air to the drying chamber, and drying the drying agent for the second time. The specific steps can be combined as shown in fig. 2:
1. the air to be detected is dried in such a manner that the amount of change in the humidity of the desiccant in the drying chamber after one service time is minimized. By minimizing is meant: the drying agent can be used for drying or approximately drying the air to be detected after the air to be monitored is dehumidified. Specific examples thereof are: one service time per drying chamber is reduced. For example, the drying unit 600 is provided with 8 drying chambers, and the drying period is 3 days, that is, each drying chamber has a service time of 9 hours (the service time is 9 hours, and thus it needs to be replaced); in this embodiment, the service time of each drying chamber is 3 hours, and after the service time is 3 hours, the drying chamber can be switched to the next drying chamber, and the drying agent can be dried by returning the detected air during the non-service time, so as to increase the service time (in this way, the service time can be increased to about 1 time). The difference of the change of the humidity of the drying agent in the drying chamber after one-time service time is reduced, and the drying is dried by detected air. Preferably, the change amount of the humidity of the drying agent in the drying chamber after one service time is controlled to be about 20-40%. Therefore, the temperature of the molten metal is controlled,
2. during the service process of the (n-1) th drying chamber, the detected air is returned to the (n) th drying chamber. As shown in fig. 2, during the service process of the 2 nd drying chamber, the dried gas is detected by the gas sensing unit 100 and then returned to the 3 rd drying chamber (the next drying chamber) for drying the drying agent therein. According to the mode, on one hand, the drying agent can be reused, the service life of the drying agent is prolonged, and the replacement frequency and the maintenance frequency are reduced; on the other hand, the humidity fluctuation of the air to be detected entering the gas sensing unit 100 becomes small, so that the influence of the large humidity gradient of the air entering the gas sensing unit 100 after each switching on the sensitivity of the gas sensing unit 100 is avoided or substantially avoided, that is, the embodiment can make the humidity of the air entering the gas sensing unit 100 fluctuate within a narrow range, so that the gas sensing unit 100 can quickly and quickly measure the air quality without parameter configuration or parameter configuration frequency reduction. Meanwhile, the use amount of the heater can be reduced due to the mode of drying the drying agent by the backflow of the detected air, and electric energy is saved.
Example 4
The embodiment discloses an atmospheric gridding monitoring method of a gas sensor array. This embodiment may be further modified and/or supplemented by embodiments 1, 2, 3 or a combination thereof, and the repeated content is not repeated. This example discloses that, without causing conflict or contradiction, the whole and/or partial contents of the preferred embodiments of other examples can be supplemented by this example.
Since the air sensing unit 300 integrates different types of gas sensors in a circular array or a matrix array, the amount of gas to be inspected that each gas sensor contacts is completely different, namely: the gas sensor near the center region of the substrate is exposed to the gas to be inspected in a greater amount, while the gas sensor near the edge of the substrate is exposed to the gas to be inspected in a reduced amount. This has not met the air-to-contaminant detection requirements, specifically: the gas sensor near the edge of the substrate may not be able to effectively identify the contaminants, resulting in the micro-workstation possibly not being able to accurately acquire air quality information.
The present embodiment provides a gas guide plate to be detected, which is provided at the front end of the air sensor unit 300 in such a manner that the gas sensor on the air sensor unit 300 can uniformly or substantially uniformly contact the gas to be detected. The guide plate is capable of guiding the gas to be monitored to the respective gas sensors. The guide plate is provided with different grid holes for distributing the gas flow to each gas sensor approximately uniformly, so that the gas sensors are contacted with approximately equivalent gas quantity, and the micro workstation can accurately acquire air quality information.
Example 5
The embodiment discloses an atmospheric gridding monitoring method of a gas sensor array. This embodiment may be further modified and/or supplemented by one or a combination of embodiments 1, 2, and 3, and repeated details are not repeated. This example discloses that, without causing conflict or contradiction, the whole and/or partial contents of the preferred embodiments of other examples can be supplemented by this example.
The monitoring method comprises the following steps:
s1: the gas sensing units 100 are arranged corresponding to the number of air monitoring stations arranged in a grid within the monitored area. For example, the air monitoring stations can be arranged according to the industrial layout of a certain city, and the arrangement density of the air monitoring stations is higher for the regional arrangement of heavy industry; and for areas with relatively little pollution, such as the cultural industry, the density of placement of air monitoring stations is less. Typically, the number of air monitoring stations corresponds to the number of gas sensing units 100. However, it is also possible that: the number of gas sensing units may be two or more times the number of air monitoring stations, i.e.: the air monitoring station can be provided with two or more gas sensing units 100, when one gas sensing unit 100 is lost and the accuracy is reduced, the other gas sensing unit in the station can be started, and the air monitoring station can be used in heavily polluted areas such as heavy industry and the like.
S2: the gas sensing unit 100 is communicatively connected to the cloud server 200. Preferably, the gas sensing unit 100 and the cloud server 200 may collect WiFi, 4G, 5G, and other communication protocols to establish a communication connection. The gas sensing unit 100 can send at least one monitoring signal collected by the cloud server 200 and reflecting the pollution level of the target gas,
s3: the cloud server 200 is configured to convert the monitoring signals transmitted by the gas sensing units 100 in the monitoring area into monitoring data,
wherein the gas sensing unit 100 is configured to include at least two sensors integrated on the same substrate, so that the gas sensing unit 100 can detect the target gas in an array manner.
Preferably, the gas sensing unit 100 is configured to: the sensor is integrated in the form of an array of at least two different sensing pixels.
It should be noted that the above-mentioned embodiments are exemplary, and that those skilled in the art, having benefit of the present disclosure, may devise various arrangements that are within the scope of the present disclosure and that fall within the scope of the invention. It should be understood by those skilled in the art that the present specification and drawings are illustrative only and are not limiting upon the claims. The scope of the invention is defined by the claims and their equivalents.

Claims (10)

1. An atmospheric gridding monitoring system utilizing a gas sensor array, comprising:
the number of the gas sensing units (100) corresponds to the number of the air monitoring stations arranged in a gridding manner in the monitoring area, and at least one monitoring signal which can reflect the pollution degree of the target gas and is acquired by the gas sensing units can be sent to the cloud server (200),
the cloud server (200) converts the monitoring signals sent by the gas sensing units (100) in the monitoring area into monitoring data,
it is characterized in that the preparation method is characterized in that,
the gas sensing unit (100) comprises at least two sensors integrated on the same substrate, so that the gas sensing unit (100) can detect the target gas in an array manner.
2. A monitoring system according to claim 1, wherein the gas sensing unit (100) integrates the sensor in an array of at least two different sensing pixels.
3. The monitoring system of claim 1 or 2, wherein the sensor is a metal oxide gas sensor.
4. Monitoring system according to one of the preceding claims, wherein the cloud server (200) is capable of comparing data to be calibrated collected by the gas sensing unit (100) during the same time period with standard data of a portable gas analyzer (300) to enable generation of a calibration model of the monitoring system.
5. The monitoring system according to one of the preceding claims, wherein the gas sensing unit (100) is preceded by a gas drying unit (600) such that the gas drying unit (600) is capable of drying the target gas before the target gas enters the gas sensing unit (100),
wherein the gas drying unit (600) is provided with at least two drying chambers (600a) which are in conduction with the gas sensing unit (100) and are connected in parallel with each other, so that the target gas entering the gas sensing unit (100) can be in a suitable humidity range.
6. The monitoring system according to one of the preceding claims, wherein the at least two drying chambers (600a) are each provided with a heater (600b) such that the drying unit (600) is capable of continuously dehumidifying the target gas in a manner that the at least two drying chambers (600a) are spaced apart.
7. The monitoring system according to one of the preceding claims, wherein the at least two parallel drying chambers (600a) are each communicable with a gas path switching device (500), and the gas path switching device (500) is configured to direct the target gas to be measured from one of the drying chambers to the other drying chamber in a case where a processor (400) sends a switching instruction generated based on a humidity change amount before and after drying the target gas to the gas path switching device (500).
8. The monitoring system according to one of the preceding claims, wherein the processor (400) sends a switching instruction to the gas path switching device (500) in such a way that the humidity of the target gas after drying via the drying chamber (600a) can be within a preset range of the air sensing unit (300).
9. An atmospheric gridding monitoring method of a gas sensor array comprises the following steps:
arranging gas sensing units (100) corresponding to the number of air monitoring stations arranged in a grid within the monitoring area,
the gas sensing unit (100) is in communication connection with a cloud server (200) so that the gas sensing unit (100) can send at least one monitoring signal which is collected by the gas sensing unit and can reflect the pollution degree of the target gas to the cloud server (200),
the cloud server (200) is configured to convert the monitoring signals sent by the gas sensing units (100) in the monitoring area into monitoring data,
it is characterized in that the preparation method is characterized in that,
the gas sensing unit (100) is configured to include at least two sensors integrated on the same substrate so that the gas sensing unit (100) can detect the target gas in an array.
10. The monitoring method according to claim 9, wherein the gas sensing unit (100) is configured to: the sensor is integrated in the form of an array of at least two different sensing pixels.
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