TW201816368A - Air quality monitoring control system and method thereof including a detection device disposed in the vehicle body, a positioning device, a plurality of air-pollution micro measurement stations and a cloud processing platform - Google Patents

Abstract

The invention relates to an air quality monitoring control system and a method thereof which are applicable to a mobile vehicle. The mobile vehicle includes a vehicle body. The air quality monitoring control system includes a detection device disposed in the vehicle body, a positioning device, a plurality of air-pollution micro measurement stations and a cloud processing platform. The detection device includes an analysis unit. The analysis unit has a detection module and a control module. Through the design of disposing the detection device in the vehicle body, when the vehicle body passes by the air-pollution micro measurement station, the positioning device generates corresponding air-pollution positioning information. The cloud processing platform performs analysis and computation on the air-pollution positioning information and micro measurement information of the air-pollution micro measurement station with standard information published by an environmental protection agency to generate a correction command. and the correction command is then transmitted to the detection device and the air-pollution micro measurement station for correction, so as to ensure accuracy and fairness.

Description

   Air quality monitoring system and method   

The invention relates to a monitoring system, in particular to an air quality monitoring system and method.

The air is filled with many invisible dust and pollutants. Among them, fine suspended particles such as PM ₁₀ or PM _2.5 may enter the throat, attach to the human respiratory system or enter blood vessels with the risk of blood circulation after being inhaled by the human body. Causes effects and lesions on human organs. In recent years, air pollution issues have become more and more important. Official environmental protection units have set up air pollution monitoring stations in various regions to monitor the air pollution situation, collect and compare monitoring data, and publish air pollution information on the official website. The information released by the government can be used to understand the air quality in a large area, but it is not possible to know the current location or the air pollution information in a small area.

Therefore, micro-stations have been set up in various indoor and outdoor environmental areas, such as hospitals, temples, outdoor attractions or bus stations, and the corresponding micro-measurement information is displayed, but the quality of the monitoring instruments of the micro-stations varies. The monitoring instruments are different from the official standard stations, and usually the monitoring instruments are only calibrated at the factory or periodically adjusted every 1 to 2 years. The monitoring accuracy cannot be effectively ensured during the monitoring period. In addition, the monitoring data of micro-stations are collected only in a singular manner and cannot be compared with the official collection of multiple pieces of data and analysis and comparison before the correction and conversion. The fairness and effectiveness of monitoring information are lacking, and research and improvement are urgently needed.

Therefore, an object of the present invention is to provide an air quality monitoring system with improved accuracy and fairness.

Therefore, the air quality monitoring system of the present invention is applied to a mobile vehicle. The mobile vehicle includes a vehicle body. The air quality monitoring system includes a detection device installed in the vehicle body, a positioning device installed in the vehicle body, a plurality of air pollution micro-test stations located in different locations, and a cloud processing platform.

The detection device includes a sampling unit and an analysis unit connected to the sampling unit. The sampling unit has a sampling tube passing through the vehicle body, and a sampling port opened on the sampling tube and allowing outside air pollution sources to enter the sampling tube. The analysis unit has a detection module connected to the sampling tube, and a control module connected to the detection module. The detection module is used to monitor and analyze the external air pollution source and generate detection information corresponding to different geographical locations where the vehicle body is traveling. The control module receives and stores the detection information of the detection module.

The positioning device is installed in the vehicle body and is connected to the control module of the analysis unit, and records the geographic information of the vehicle body and receives the detection information received by the control module, and further separates the geographic information with corresponding information. Geographical detection information is integrated into corresponding air pollution location information. The air pollution micro-measuring station monitors a pollution source at a corresponding location to generate corresponding micro-measuring information.

The cloud processing platform network connection obtains standard information of air pollution sources in various places published by an environmental protection unit, and receives air pollution positioning information of the positioning device and the air pollution micro-station information, and positions the air pollution The information is matched with the information of the air pollution micro-station in the corresponding location and the standard information of the environmental protection unit through analysis and calculation to generate a calibration instruction. The cloud processing platform transmits the calibration instruction to the control module of the analysis unit via the positioning device. During the driving process of the vehicle body, the control module executes the calibration instruction and immediately corrects the detection information of the detection module to generate a correction. Corresponding detection information, the cloud processing platform sends the calibration instruction to the air pollution micro-station, the air pollution micro-station executes the calibration instruction and corrects the micro-measurement information of the monitored air pollution source to generate a corrected correspondence. Micro-test information.

Therefore, another object of the present invention is to provide an air quality monitoring method with improved accuracy and fairness.

Therefore, the air quality monitoring method of the present invention is applied to an air quality monitoring system matched with a mobile vehicle. The mobile vehicle includes a vehicle body. The air quality monitoring system includes a detection device, a positioning device, multiple air pollution micro-stations, and a cloud processing platform. The detection device includes a sampling unit and an analysis unit. The sampling unit has a sampling tube passing through the vehicle body, and a sampling port opened on the sampling tube and allowing outside air pollution sources to enter the sampling tube, the analysis unit has a detection module, and a connection to the detection Control module of the module. The method of the remote management system includes a step (A), a step (B), a step (C), and a step (D).

In step (A), during the running of the vehicle body, an external air pollution source enters the analysis unit from a sampling tube of the sampling unit and is analyzed and detected by the detection module, and the detection module generates a geographic location corresponding to the driving of the vehicle body The control module receives and stores the detection information of the detection module.

In step (B), the positioning device records the geographic information of the vehicle body and receives the detection information received by the control module, and integrates the geographic information with the detection information of the corresponding geographical location, respectively. Air pollution positioning information, and the positioning device transmits the corresponding air pollution positioning information to the cloud processing platform at a preset time, and the air pollution micro-testing station transmits the micro measurement information of the corresponding monitoring location to the cloud, respectively Processing platform.

In step (C), the cloud processing platform network connection obtains standard information on air pollution sources from various places announced by an environmental protection unit, and matches the air pollution positioning information with the micro measurement information of the air pollution micro-station. The standard information of the corresponding place is analyzed and calculated to generate a calibration instruction.

In step (D), the cloud processing platform transmits the correction instruction to the control module of the analysis unit via the positioning device, and during the driving process of the vehicle body, the control module executes the correction instruction and immediately corrects the detection module. The cloud computing platform sends the calibration instruction to the air pollution micrometering station, and the air pollution micrometering station executes the calibration instruction and corrects the information of the monitored air pollution source. Corresponding micro-test information after calibration.

The effect of the present invention is that by designing the detection device installed in the vehicle body, the positioning device cooperates with the control module to generate corresponding air pollution positioning information when the vehicle body passes through the air pollution micrometering station. The cloud processing platform generates the calibration instruction by analyzing and calculating the air pollution location information and the micro-measurement information in cooperation with the standard information, and sends the correction instruction to the detection device and the air pollution micro-station. , And can correct the detection information and the micro-test information to ensure its accuracy and fairness.

10‧‧‧ Mobile Vehicle

11‧‧‧ body

2‧‧‧testing device

21‧‧‧Sampling unit

211‧‧‧Sampling tube

212‧‧‧Sampling port

22‧‧‧analysis unit

221‧‧‧Detection Module

222‧‧‧Control Module

23‧‧‧ Collection Unit

231‧‧‧Air pump

3‧‧‧ positioning device

4‧‧‧Air pollution micro-station

5‧‧‧ Cloud Processing Platform

60‧‧‧standard station

A ~ D‧‧‧step

C1 ~ C2‧‧‧‧steps

C21 ~ C23‧‧‧‧step

F‧‧‧ direction

Other features and effects of the present invention will be clearly presented in the embodiment with reference to the drawings, wherein: FIG. 1 is a schematic diagram illustrating an embodiment of the air quality monitoring system of the present invention; FIG. 2 is a flowchart illustrating the present invention A first embodiment of the air quality monitoring method of the invention; and FIG. 3 is a flowchart illustrating a second embodiment of the air quality monitoring method of the invention.

Before the present invention is described in detail, it should be noted that in the following description, similar elements are represented by the same numbers.

Referring to FIG. 1, an embodiment of the air quality monitoring system of the present invention is applied to a mobile vehicle 10, which includes a vehicle body 11. The air quality monitoring system includes a detection device disposed in the vehicle body 11, a positioning device 3 disposed in the vehicle body 11, a plurality of air pollution micro-test stations 4 disposed at different locations, and a cloud processing Platform 5.

The detection device 2 includes a sampling unit 21, an analysis unit 22 connected to the sampling unit 21, and a collection unit 23 connected to the analysis unit 22. The sampling unit 21 has a sampling tube 211 passing through the vehicle body 11, a sampling port 212 opened on the sampling tube 211 and allowing outside air pollution sources to enter the sampling tube 211, and a sampling tube 211. A filter (not shown) covering the sampling port 212 is also covered. The analysis unit 22 includes a detection module 221 connected to the sampling tube 211 and a control module 222 connected to the detection module 221. The detection module 221 is used to monitor and analyze external air pollution sources and generate detection information corresponding to different geographic locations where the vehicle body 11 is traveling. The control module 222 receives and stores the detection information of the detection module 221. The collection unit 23 has an exhaust pump 231. The exhaust pump 231 is used to suck an air pollution source into the sampling tube 211 of the sampling unit 21, enter the analysis unit 22, and analyze and detect by the detection module 221. The detected pollution source is drawn into the collection unit 23 for collection. The design of the filter of the sampling unit 21 can prevent foreign objects such as mosquitoes, crushed stones and other foreign objects from entering the sampling tube 211, thereby preventing internal damage to the detection device 2.

The positioning device 3 is disposed in the vehicle body 11 and connected to the control module 222 of the analysis unit 22, and records the geographic information of the vehicle body 11 and receives the detection information received by the control module 222, and further converts The geographic information and the corresponding geographic location detection information are integrated into corresponding air pollution location information. Each geographical information records information such as the location and time when the vehicle body 11 travels, such as the longitude, latitude, and time of the vehicle body 11. The air pollution micro-testing stations 4 are respectively installed in indoor and outdoor environmental areas, such as hospitals, temples, outdoor attractions, or bus stops, etc., and are used to monitor the pollution sources at their locations and generate and display corresponding micro-scales. Measurement information, so that people can understand the air quality situation of the current location.

The vehicle body 11 of the mobile vehicle 10 travels in the F direction. During the running of the vehicle body 11, the suction generated by the suction pump 231 of the collection unit 23 can continuously remove the external air pollution source from the vehicle. The sampling port 212 of the sampling unit 21 is sucked into the sampling tube 211, enters the analysis unit 22, and is measured by the detection module 221 to generate the air pollution related detection information corresponding to the path traveled by the vehicle body 11. The pollution source will be sucked into the collection unit 23 for collection and storage. The control module 222 receives and stores the detection information measured by the detection module 221 in real time and sends it to the positioning device 3 for integration. The positioning device 3 can record and locate the geographic information of the vehicle body 11 in real time. The geographic information is combined with the corresponding geographic location detection information to form corresponding air pollution location information. In short, it is the process of the vehicle body 11 driving. The detection module 221 detects the detection information generated by the air pollution source, and stores and transmits the detection information to the positioning device 3 through the control module 222, thereby integrating the corresponding information. The air pollution positioning information effectively integrates the location, time and travel time of the 11 passing vehicles and corresponding detection information into the air pollution positioning information. For example, when the vehicle body 11 passes through a location of one of the air pollution micro-stations 4, the air pollution positioning information records detection information and geographic information corresponding to the location of the air pollution micro-station 4, which is convenient for cloud processing. Platform 5 is used for subsequent analysis.

In this embodiment, the positioning device 3 locates the geographic information of the vehicle body 11 in real time and integrates the corresponding air pollution positioning information in conjunction with the corresponding detection information received, but it is not limited to this and can also be used The control module 222 directly transmits the detection information to the cloud processing platform 5 in real time, and the positioning device 3 transmits the geographic information of the vehicle body 11 to the cloud processing platform 5 in real time, and the cloud processing platform 5 receives the The time analysis of the detection information and the geographic information is compared to integrate the air pollution positioning information. In addition, it should be particularly noted that, in this embodiment, the air quality monitoring system is applied to the form of buses. With the characteristics of multiple buses driving on a fixed route every day in the city, and the intensive departure, it can be driven on buses. The air pollution related data of bus routes are actively collected and the characteristics of intensive driving of multi-route buses are formed to form an environmental map of air pollution related data, so that the cloud processing platform 5 can effectively obtain a large amount of stable data and good reference information. Pollution location information is very useful for subsequent analysis and comparison.

The cloud processing platform 5 obtains standard information of air pollution sources in various places published by an environmental protection unit (not shown) through a network connection, and receives the air pollution positioning information of the positioning device 3 and the air pollution micro-station 4 information. The air pollution positioning information is matched with the information of the air pollution micro-station 4 of the corresponding location and the standard information of the environmental protection unit through analysis and calculation to generate a correction instruction. In this embodiment, the environmental protection unit is the official environmental protection unit (Environmental Protection Department of the Executive Yuan). Generally speaking, the environmental protection unit is monitored in a large regional manner, such as: Songshan District, Taipei City, or Linkou District, New Taipei City. Publish large-scale air pollution standard information. The environmental protection unit sets up multiple standard measurement stations 60 at different locations in each monitoring area, and the standard measurement stations 60 monitor air pollution sources at corresponding locations and collect multiple records. After data analysis and comparison conversion, regional standard information can be published. The standard information can be queried on the official environmental protection unit website and the relevant details of air pollution monitoring are relevant basic knowledge of those with ordinary knowledge in this technical field. More details. The cloud processing platform 5 obtains the standard information of air pollution sources published by the environmental protection unit through the network connection, that is, the standard information of the standard station 60 is obtained, and when the vehicle body 11 passes through the standard station 60 When the location is located, the air pollution positioning information records detection information and geographic information corresponding to the location of the standard station 60, and the positioning device 3 uploads the air pollution positioning information to the cloud processing platform 5. When the vehicle body 11 passes by the location of the air pollution micro-station 4, the air pollution positioning information records detection information and geographic information corresponding to the location of the air pollution micro-station 4, and the positioning device 3 will The air pollution positioning information is uploaded to the cloud processing platform 5. After the cloud processing platform 5 continuously collects data and accumulates a collection time, the air pollution positioning information is matched with the micro measurement information of the air pollution micro measuring station 4 of the corresponding location and the standard information of the environmental protection unit. The data analysis operation generates the correction instruction. In this embodiment, the cloud processing platform 5 matches the air pollution positioning information with the micro-test information and the standard information of corresponding locations. For example, the cloud processing platform 5 The standard information provided by one of the standard stations 60 cooperates with the micro-measurement information provided by the air pollution micro-station 4 near the standard station 60 and the vehicle body 11 travels through the standard station 60 The air pollution positioning information and the air pollution positioning information of the vehicle body 11 passing through the air pollution micro measuring station 4 are generated by the big data collection analysis and precision calculation to generate the correction instruction. In other words, the cloud processing platform 5 first distinguishes the standard measurement stations 60 in a certain district of a city into various regional ranges, and then collects the standard information, the micro-measurements collected in each regional range. The information and the air pollution positioning information are calculated with a big data analysis and a computing method such as a linear regression method or other algorithms to calculate a fairness correction instruction.

In simple terms, the equipment of the standard station 60 has high precision and accuracy and is relatively expensive, but the setting density of the standard station 60 is low, and the setting density of the micro station 60 is high, but it cannot be effective. To ensure the accuracy of monitoring, the design of the detection device 2 installed in the vehicle body 11 can collect air pollution positioning information during driving, effectively provide big data collection, and travel through the vehicle body 11 through the air When the pollution micro-station 4 and the standard station 60, the positioning device 3 cooperates with the control module 222 to generate corresponding air pollution positioning information, and the cloud processing platform 5 then combines the air pollution positioning information with the The micro measurement information cooperates with the standard information and undergoes an analysis operation to generate the calibration instruction. The cloud processing platform 5 transmits the correction instruction to the control module 222 of the analysis unit 22 through the positioning device 3, and during the driving process of the vehicle body 11, the control module 222 executes the correction instruction and immediately corrects the detection module. The detection information of 221 generates corresponding detection information after correction, and the cloud processing platform 5 also sends the correction instruction to the air pollution micro-testing station 4, which executes the correction instruction and Correct the information of the monitored air pollution source to generate corresponding micro-test information. Relatively speaking, the environmental protection unit is the main standard part, and the application of the vehicle body 11 in cooperation with the detection device 2 and the positioning device 3 is similar to the concept of the substandard part, and the active collection and driving of the vehicle body 11 is achieved. The air pollution related data of the route, thereby forming an environmental map of air pollution related data, so that the cloud processing platform 5 obtains a large amount of stable and good reference data, and analyzes the calculation and generates the correction instruction in accordance with the standard information of the environmental protection unit. Furthermore, the detection information and the micro-test information are corrected to improve the credibility and accuracy of the information.

In addition, it should be noted that the mobile vehicle 10 further includes a display unit (not shown) disposed in the vehicle body 11 and connected to the positioning device 3, wherein the positioning device 3 receives the control module 222 and calibrates it. The detection information and the integrated air pollution positioning information are transmitted to the cloud processing platform 5 and the display unit in real time for display by the public. Of course, it is also possible to integrate and connect with the cloud processing platform 5 by developing APP software (not shown), and the public can use the network such as a mobile phone or a mobile device to open the APP software, so that the relevant information of the air quality monitoring system can be obtained in real time.

Referring to FIG. 1 and FIG. 2, a first embodiment of an air quality monitoring method according to the present invention is applied to an air quality monitoring system as described above. The air quality monitoring method includes a step (A), a step (B), a step (C), and a step (D).

First, in step (A), during the running of the vehicle body 11, the external air pollution source enters the analysis unit 22 through the sampling tube 211 of the sampling unit 21 and is analyzed and detected by the detection module 221, and the detection module 221 generates The control module 222 receives and stores the detection information of the detection module 221 corresponding to the detection information of different geographical locations where the vehicle body 11 is traveling. In short, the detection module 221 of the analysis unit 22 will measure the air pollution related conditions of the locations and paths passed by the vehicle body 11 during the driving process and generate the detection information, and then store it in the control module. 222. In this embodiment, the detection information generated by the detection module 221 is presented in the form of analog data by the external air pollution source measured by the detection module 221 and converted by the built-in conversion of the detection module 221 Corresponding detection information is generated after the conversion of relational operations, but not limited to this. The conversion relation has a first reference value, a second reference value, a third reference value, a first conversion coefficient, a second conversion coefficient, and a third conversion coefficient. When the measured analog quantity is below the first reference value, the corresponding detection information is equal to the analog quantity divided by the first reference value and then multiplied by the first conversion coefficient. When the measured analog quantity is greater than the first reference value and below the second reference value, the corresponding detection information is equal to the analog quantity divided by the difference between the second reference value and the first reference value and then multiplied. With the second conversion coefficient, when the measured analog quantity is greater than the second reference value and below the third reference value, the corresponding detection information is equal to the analog quantity divided by the third reference value and the second reference value. The value is then multiplied by the third conversion factor.

In step (B), the positioning device 3 records the geographic information of the vehicle body 11 and receives the detection information received by the control module 222, and separates the geographic information with the corresponding geographical location detection information. The corresponding air pollution location information is integrated and transmitted to the cloud processing platform 5, and the air pollution micro-station 4 transmits the micro measurement information of the corresponding monitoring location to the cloud processing platform 5, respectively. That is, the air pollution positioning information of the vehicle body 11 during the driving process is transmitted back to the cloud processing platform 5, and when the vehicle body 11 passes by the location of the air pollution micro-station 4, the air pollution positioning information is recorded with Corresponds to the detection information and geographic information of the location of the air pollution micro-station 4 and the air pollution micro-station 4 will also transmit the micro-measurement information of the corresponding monitoring site to the cloud processing platform 5 to facilitate the cloud processing platform 5 Follow-up data analysis and comparison operations.

In step (C), the cloud processing platform 5 obtains an environmental protection unit from the environmental information published by the environmental protection unit standard information, and the air pollution positioning information and the micro pollution measurement station 4 micro-test The information cooperates with the standard information of the corresponding location, and an analysis instruction is generated to generate a correction instruction. In detail, the cloud processing platform 5 obtains the standard information of air pollution sources in various places published by the environmental protection unit through the network connection, which is to obtain the standard information of the standard station 60, and when the vehicle body 11 passes the standard, When the location of the station 60, the air pollution positioning information records the detection information and geographic information corresponding to the location of the standard station 60, and the positioning device 3 uploads the air pollution positioning information to the cloud processing platform 5 . When the vehicle body 11 passes by the location of the air pollution micro-station 4, the air pollution positioning information records detection information and geographic information corresponding to the location of the air pollution micro-station 4, and the positioning device 3 will The air pollution positioning information is uploaded to the cloud processing platform 5.

In step (D), the cloud processing platform 5 transmits the correction instruction via the positioning device 3 to the control module 222 of the analysis unit 22, and the control module 222 executes the correction instruction and travels on the vehicle body 11 The detection information of the detection module 221 is corrected in real time to generate corresponding detection information after correction. The cloud processing platform 5 sends the calibration instruction to the air pollution micro-testing station 4, the air pollution micro-testing station 4 executes the calibration instruction and corrects the micro-test information of the monitored air pollution source to generate corresponding micro-test information, It can ensure the accuracy and provide the credibility of the detection information and the micro-test information. The positioning device 3 receives the corrected detection information from the control module 222 and immediately transmits the integrated air pollution positioning information to the cloud processing platform 5 and the display unit for display, so that the public can know.

It should be particularly noted that the step (C) includes a step (C1) and a step (C2).

In step (C1), the cloud processing platform 5 obtains standard information on air quality in various places announced by the environmental protection unit through a network connection, and collects the air pollution positioning information and the micro-test information to accumulate a collection time. In this embodiment, the collection time is one season, but it is not limited to this. It can also accumulate a longer period of time, such as: half a year or one year, and accumulate data for big data analysis.

In step (C2), the air pollution positioning information is analyzed and compared with the micro-measurement information of the corresponding place and the standard information of the corresponding place to calculate and calculate the correction instruction. That is, after the cloud processing platform 5 continuously collects data and accumulates the collection time, the air pollution positioning information is matched with the micro measurement information of the air pollution micro measuring station 4 at the corresponding location and the environmental protection unit standard The information is generated by the big data analysis operation to generate the correction instruction. The cloud processing platform 5 matches the air pollution positioning information with the micro measurement information and the standard information of the corresponding location. For example, the cloud processing platform 5 integrates one of the standard stations in a certain district of a city. The standard information provided by 60 is matched with the micro-measurement information provided by the air pollution micro-station 4 near the standard station 60 and the air pollution location information of the vehicle body 11 passing through the standard station 60 And the vehicle body 11 travels through the air pollution positioning information of the air pollution micro-station 4 and generates the correction instruction through big data collection analysis and precision calculation. In other words, the cloud processing platform 5 first distinguishes the standard measurement stations 60 in a certain district of a city into various regional ranges, and then collects the standard information, the micro-measurements collected in each regional range. The information and the air pollution positioning information are calculated with a big data analysis and a computing method such as a linear regression method or other algorithms to calculate a fairness correction instruction. In this embodiment, the cloud processing platform 5 will update to generate a corresponding calibration instruction every calibration time, and in step (D), the cloud processing platform 5 will send the calibration instruction to the calibration time to The control module 222 of the analysis unit 22 and the air pollution micro-station 4. In this embodiment, the correction time is one week, but it is not limited thereto. The collection time may be adjusted to one season or shortened to one day according to the actual situation.

1 and 3, the second embodiment of the air quality monitoring method of the present invention is substantially the same as the first embodiment of the air quality monitoring method, except that the step (C2) has a step (C21), (C22), and a step (C23).

In this step (C21), the cloud processing platform 5 analyzes and compares the micro-measurement information of the location corresponding to the air pollution positioning information, and the vehicle body 11 of the traveling device passes through each air pollution micro-station 4 and the When the distance between the vehicle body 11 and each air pollution micro-station 4 is within a correction range, the corresponding air pollution positioning information is integrated by the positioning device 3, and the cloud processing platform 5 The information is analyzed and compared with the corresponding air pollution positioning information within the corresponding correction range. In this embodiment, the correction range is a range surrounded by each air pollution micro-station 4 as the center and a radius of 200 meters, but not limited to this. The cloud processing platform 5 is used for big data analysis and calculation. , Analyze and compare the air pollution positioning information of the vehicle body 11 passing through the air pollution micro-measuring station 4 within the correction range and the corresponding micro measurement information.

In this step (C22), the cloud processing platform 5 analyzes and compares the standard information of the location corresponding to the air pollution positioning information. The vehicle body 11 passes through each standard station 60 and the vehicle body 11 and each When the distance of a standard station 60 is within a comparison range, and the cloud processing platform 5 analyzes and compares the standard information of each standard station 60 with the air pollution location information in the corresponding comparison range. In this embodiment, since the setting density of the standard measuring stations 60 is low and the setting locations are generally remote, but not limited thereto, the comparison range is based on the center of each standard measuring station 60 and the radius is 500. In the range surrounded by meters, the cloud processing platform 5 drives the vehicle body 11 through the standard station 60 during the big data analysis and calculation, and locates the air pollution location information and corresponding standard information within the comparison range. Analyze and compare.

In the step (C23), the cloud processing platform 5 generates the correction instruction according to the analysis results of the step (C21) and the (C22) in cooperation with a built-in algorithm operation.

In summary, according to the air quality monitoring system and method of the present invention, the detection device 2 is provided in the vehicle body 11 to enable the positioning device 3 to cooperate with the control module 222 during the driving process of the vehicle body 11. Corresponding air pollution positioning information is generated, and the cloud processing platform 5 generates the correction instruction through analysis and calculation processing, and can correct the air pollution positioning information and the micro-test information to ensure its accuracy and fairness. Therefore, it can indeed achieve the purpose of the invention.

However, the above are only the preferred embodiments of the present invention. When the scope of implementation of the present invention cannot be limited by this, that is, the simple equivalent changes and modifications made according to the scope of the patent application and the content of the patent specification of the present invention, All are still within the scope of the invention patent.

Claims (15)

    An air quality monitoring system is applied to a mobile vehicle. The mobile vehicle includes a vehicle body. The air quality monitoring system includes a detection device installed in the vehicle body, including a sampling unit, and a communication device connected to the sampling device. An analysis unit of the unit, the sampling unit has a sampling tube passing through the vehicle body, and a sampling port opened on the sampling tube and allowing outside air pollution sources to enter the sampling tube, and the analysis unit has a communication tube connected to the sampling tube A detection module and a control module connected to the detection module, the detection module is used to monitor and analyze external air pollution sources and generate detection information corresponding to different geographical locations of the vehicle body, and the control module receives and stores The detection information of the detection module; a positioning device installed in the vehicle body and connected to a control module of the analysis unit, the positioning device records geographic information of the vehicle body and receives detections received by the control module Information, and integrate the geographic information with the corresponding geographic location detection information into corresponding air pollution location information; multiple settings in different locations Air pollution micro-stations, which are used to monitor corresponding pollution sources at corresponding locations to generate corresponding micro-measurement information; and a cloud processing platform, network connection to obtain an environmental protection unit to announce air pollution sources in various places Receiving the standard information of the air pollution positioning information of the positioning device and the micro measurement information of the air pollution micro-station, and matching the air pollution positioning information with the micro measurement information of the air pollution micro-station The standard information of the place generates a calibration instruction after analysis and calculation, and the cloud processing platform transmits the calibration instruction to the control module of the analysis unit through the positioning device. During the driving process of the vehicle body, the control module executes the calibration instruction and immediately The detection information of the detection module is corrected to generate corresponding detection information after correction, and is transmitted to the positioning device to be integrated into corresponding air pollution positioning information. The cloud processing platform transmits the correction instruction to the air pollution micro-station, so The air pollution micro-test station executes the calibration instruction and corrects the micro-test information of the monitored air pollution source to generate the corresponding micro-test information after calibration.         According to the air quality monitoring system described in claim 1, the environmental protection unit includes a plurality of standard measurement stations installed at different locations, and the standard measurement stations are respectively used to monitor the air pollution sources at corresponding locations to generate corresponding standard information. The cloud processing platform generates the correction instruction by analyzing and calculating the air pollution positioning information with the micro-test information of the corresponding place and the standard information of the corresponding place.         The air quality monitoring system according to claim 1, wherein the external air pollution source measured by the detection module of the analysis unit is presented in the form of analog data and undergoes a conversion relation calculation built in the detection module Corresponding detection information is generated after conversion. The conversion relation has a first reference value, a second reference value, a third reference value, a first conversion coefficient, a second conversion coefficient, and a third conversion coefficient. When the measured analog quantity is below the first reference value, the corresponding detection information is equal to the analog quantity divided by the first reference value and then multiplied by the first conversion coefficient. When the measured analog quantity is greater than The first reference value is below the second reference value, and the corresponding detection information is equal to the analog amount divided by the difference between the second reference value and the first reference value, and then multiplied by the second conversion coefficient, When the measured analog quantity is greater than the second reference value and below the third reference value, the corresponding detection information is equal to the analog quantity divided by the difference between the third reference value and the second reference value, and then Multiply this third conversion Number.         The air quality monitoring system according to claim 1, wherein the detection device further comprises a collection unit connected to the analysis unit, the collection unit has an air pump, and the air pollution source is sucked into the sampling unit by the air pump. The sampling tube enters the analysis unit and is analyzed and detected by the detection module, and the detected pollution source is drawn into the collection unit.         The air quality monitoring system according to claim 1, wherein the cloud processing platform collects the air pollution positioning information and the micro-measurement information and accumulates a collection time, and separates the air pollution positioning information and corresponding locations, respectively. The calibration instruction is generated by analyzing, comparing and calculating the micro-test information and standard information of the corresponding location. The collection time is one season. The cloud processing platform will update and generate a corresponding calibration instruction every other calibration time. The calibration time For a week.         According to the air quality monitoring system described in claim 1, the mobile vehicle further includes a display unit installed in the vehicle body and connected to the positioning device, wherein the positioning device receives detection information corrected by the control module, and The corresponding geographic information and the corresponding detection information are integrated into the corresponding air pollution positioning information in real time and transmitted to the display unit for display.         According to the air quality monitoring system described in claim 1, the sampling unit of the detection device further includes a filter disposed on the sampling tube and covering the sampling port.         An air quality monitoring method is applied to an air quality monitoring system that cooperates with a mobile vehicle. The mobile vehicle includes a vehicle body. The air quality monitoring system includes a detection device, a positioning device, and multiple air pollution micro-measurements. Station, and a cloud processing platform, the detection device includes a sampling unit and an analysis unit, the sampling unit has a sampling tube passing through the vehicle body, and a sampling tube opened on the sampling tube and accessible to outside air pollution sources The sampling port of the sampling tube, the analysis unit has a detection module, and a control module connected to the detection module. The air quality monitoring method includes the following steps: (A) during the driving of the vehicle body, external air pollution sources The sampling tube of the sampling unit enters the analysis unit and is analyzed and detected by the detection module. The detection module generates detection information corresponding to the geographical location of the vehicle body. The control module receives and stores the detection module. The detection information; (B) the positioning device records the geographic information of the vehicle body and receives the detection information received by the control module, and The information is respectively integrated with the detection information of the corresponding geographical location into corresponding air pollution positioning information and transmitted to the cloud processing platform, and the air pollution micro measurement station transmits the micro measurement information of the corresponding monitoring location to the cloud processing platform respectively; (C) The network connection of the cloud processing platform obtains an environmental protection unit to publish standard information about air pollution sources in various places, and matches the air pollution positioning information with the micro measurement information of the air pollution micro-test station at the corresponding location. The standard information generates a calibration instruction after analysis and calculation; and (D) the cloud processing platform transmits the calibration instruction to the control module of the analysis unit via the positioning device, and the control module executes the calibration instruction and travels on the vehicle body The process corrects the detection information of the detection module in real time to generate the corresponding detection information after correction, and the cloud processing platform sends the correction instruction to the air pollution micro measurement station, and the air pollution micro measurement station executes the correction instruction and corrects The micro-measurement information of the monitored air pollution source generates the corresponding micro-measurement information after correction.         The air quality monitoring method according to claim 8, wherein step (C) includes (C1) the cloud processing platform network connection to obtain an environmental protection unit to publish standard information on air quality in various places, and collect the air pollution The positioning information and the micro-test information are accumulated for a collection time. (C2) The air pollution positioning information is analyzed and compared with the micro-test information of the corresponding place and the standard information of the corresponding place to calculate the correction. instruction.         The air quality monitoring method according to claim 9, wherein in the step (C2), the cloud processing platform updates and generates a corresponding calibration instruction every calibration time, and in the step (D), the The cloud processing platform sends the calibration instruction to the control module of the analysis unit and the air pollution micro-station every every calibration time.         The air quality monitoring method according to claim 10, wherein in the step (C1), the collection time is one season, and in the step (D), the correction time is one week.         According to the air quality monitoring method described in claim 9, the environmental protection unit includes a plurality of standard measurement stations installed at different locations, and the standard measurement stations are respectively used to monitor air pollution sources at corresponding locations to generate corresponding standard information, wherein The step (C2) has (C21) the cloud processing platform analyzes and compares the air pollution positioning information with the micro-measurement information of the corresponding location, and the vehicle body of the driving device passes through each air pollution micro-station and the When the distance between the vehicle body and each air pollution micro-station is within a correction range, the corresponding air pollution positioning information is integrated by the positioning device, and the cloud processing platform integrates the micro measurement information of each air pollution micro-station with The air pollution positioning information within the corresponding calibration range is analyzed and compared. (C22) The cloud processing platform analyzes and compares the air pollution positioning information with the standard information of the corresponding location. The vehicle body passes through each standard station. When the distance between the vehicle body and each standard station is within a comparison range, the corresponding air pollution positioning information is integrated by the positioning device, and the cloud processing platform integrates the standard information of each standard station Air pollution available location within a range corresponding to the ratio of the analyzed comparison, (C23) the internet cloud according to the process step (C21) and the (C22) of the analysis result of the algorithm operation with built-in command generating correction.         The air quality monitoring method according to claim 12, wherein in the step (C21), the correction range is a range surrounded by each air pollution micro-station as a center and a radius of 200 meters. In this step, In (C22), the comparison range is a range surrounded by each standard station as the center and a radius of 500 meters.         The air quality monitoring method according to claim 10, wherein in the step (B), the positioning device transmits corresponding air pollution positioning information to a cloud processing platform at a preset time.         The air quality monitoring method according to claim 8, wherein in the step (A), the detection information generated by the detection module is an analogous amount of data measured by the detection module to measure the external air pollution source The form is presented and the corresponding detection information is generated after the conversion of a built-in conversion relation operation calculation in the detection module. The conversion relation has a first reference value, a second reference value, a third reference value, a The first conversion coefficient, a second conversion coefficient, and a third conversion coefficient. When the measured analog quantity is below the first reference value, the corresponding detection information is equal to the analog quantity divided by the first reference value. Then multiply by the first conversion coefficient. When the measured analog quantity is greater than the first reference value and below the second reference value, the corresponding detection information is equal to the analog quantity divided by the second reference value and the first reference value. The difference between a reference value is then multiplied by the second conversion coefficient. When the measured analog quantity is greater than the second reference value and below the third reference value, the corresponding detection information is equal to the analog quantity divided by the The third reference value and the second The difference between the reference values is then multiplied by the third conversion coefficient.