Cloud-side collaborative pollution source automatic monitoring data checking method and system

Abstract

The invention discloses a cloud-side collaborative pollution source automatic monitoring data checking method and system. An edge supervision module with edge computing capability is used for checking an error between bottom data of pollution source automatic monitoring equipment and output pollutant measurement data, and providing an error report with extremely small data increment to a cloud edge collaborative checking module of a cloud end for data reliability analysis; therefore, the technical problem that the data reliability cannot be verified due to the fact that an existing pollutant data supervision platform cannot acquire complete underlying data of pollution source automatic monitoring equipment and a measurement and calculation method is solved. The cloud-side collaborative pollution source automatic monitoring data checking method and system provided by the invention are compatible with existing pollutant data supervision platform hardware, and are combined with edge supervision and cloud-side collaborative verification, so that only a small amount of data is increased, and the consumption of uploading a large amount of data to a network and a cloud pollutant data supervision platform is avoided; and the reliability of the automatic monitoring data of the pollution source can be effectively verified.

Description

Technical Field

[0001] The present invention belongs to the technical field of Internet of Things, and more specifically, relates to a cloud-edge collaborative pollution source automatic monitoring data verification method and system. Background Art

[0002] Automatic monitoring technology for pollution sources is a key technology in the field of environmental protection. It uses automation, informatization and intelligent means to conduct real-time and continuous monitoring and analysis of parameters such as emission concentration, emission volume, and emission characteristics of pollution sources, so as to achieve effective control of pollution sources and improve environmental quality.

[0003] The existing model of automatic monitoring of pollution sources is as follows: (1) In the first step, the automatic monitoring equipment of pollution sources conducts sampling and monitoring to obtain relevant monitoring factors of air pollutants or water pollutants, such as spectral absorption spectra obtained by detecting gaseous pollutants, absorbance values ​​obtained by detecting water pollutants, etc., and integrates the underlying raw data of relevant parameters such as temperature, pressure, flow rate into pollutant indicator data, such as pollutant concentration; (2) In the second step, the automatic monitoring equipment of pollution sources reports the real-time, hourly and daily data of the automatically monitored pollutant indicators to the monitoring platform of the administrative department through the data acquisition and transmission instrument in accordance with the requirements of relevant national standards and specifications.

[0004] The main defects of the existing model are: (1) The automatic monitoring equipment has aggregated, processed and integrated the original monitoring data, and the uploaded data is not the underlying original data. The monitoring platform of the administrative department cannot penetrate and identify the underlying logic of the automatic monitoring data, and it is difficult to judge the authenticity and accuracy of the automatic monitoring data; (2) Some local administrative departments require not only uploading of automatic monitoring data, but also uploading of instrument status parameters and dynamic control of parameters to facilitate the judgment of the authenticity and accuracy of the uploaded data, but the amount of uploaded data is limited, and the evidence for authenticity and accuracy is limited; (3) If all the underlying original data of the automatic monitoring equipment is to be uploaded, it is necessary to adapt to the actual situation that the amount of underlying original data is 100-10,000 times the amount of monitoring data. A large amount of bandwidth, storage and channel resources of the administrative department's monitoring platform are occupied, increasing the regulatory burden. Summary of the invention

[0005] In response to the above defects or improvement needs of the prior art, the present invention provides a cloud-edge collaborative pollution source automatic monitoring data verification method and system, which pre-places an edge supervision module with edge computing capability on the pollution source side, and at the same time places a cloud-edge collaborative verification module on the monitoring platform side. The purpose is to verify the authenticity and accuracy (hereinafter referred to as "error") between the underlying data of the pollution source automatic monitoring equipment and the output pollutant measurement data through the edge supervision module on the pollution source side, and provide an authenticity and accuracy judgment report with extremely small data increment (hereinafter referred to as "error judgment report") to the cloud-edge collaborative verification module on the cloud side for data reliability analysis, thereby solving the technical problem that the existing pollutant data supervision platform cannot obtain the complete underlying data and measurement methods of the pollution source automatic monitoring equipment, resulting in the inability to verify the data reliability.

[0006] To achieve the above object, according to one aspect of the present invention, a cloud-edge collaborative pollution source automatic monitoring data verification method is provided, comprising the following steps:

[0007] (1) At any monitoring time T, the edge monitoring module obtains the pollutant concentration monitoring value output by the pollution source automatic monitoring device connected to it and the digital value output by its sensor;

[0008] (2) calculating the pollutant concentration as a reference pollutant concentration using the standardized parameters of the sensor of the automatic pollution source monitoring device according to the digital quantity output by the sensor of the automatic pollution source monitoring device obtained in step (1);

[0009] (3) Compare the difference between the reference pollutant concentration obtained in step (2) and the pollutant concentration monitored by the automatic monitoring equipment of the pollution source obtained in step (1) at the monitoring time T. When the difference is greater than a preset threshold, mark the data with an error; the edge supervision module uploads the automatic monitoring data of the pollution source including the error mark field to the cloud-edge collaborative verification module for verification of the automatic monitoring data of the pollution source by the cloud-edge collaborative verification module.

[0010] Preferably, in the cloud-edge collaborative pollution source automatic monitoring data verification method, the edge supervision module is set in the data acquisition instrument, and when the pollution source automatic monitoring equipment is connected to the pollutant data supervision platform, the edge supervision module is connected.

[0011] Preferably, in the cloud-edge collaborative pollution source automatic monitoring data verification method, the edge supervision module is time synchronized with the cloud-edge collaborative verification module; the cloud-edge collaborative verification module is arranged on the pollutant data supervision platform.

[0012] Preferably, in the cloud-edge collaborative pollution source automatic monitoring data verification method, the standardized parameters in step (2) are necessary parameters for converting the digital quantity of the sensor output of the pollution source automatic monitoring equipment into pollutant concentration, which are obtained when the edge supervision module is connected to the pollution source automatic monitoring equipment, and include the sample carrier, technology type, and / or model of the sensor of the pollution source automatic monitoring equipment.

[0013] Preferably, the cloud-edge collaborative pollution source automatic monitoring data verification method, wherein the pollution source automatic monitoring data also includes pollutant monitoring records for dehumidification, conversion, hourly average, and / or daily average calculation of pollutant concentration monitoring amounts;

[0014] The verification of the automatic monitoring data of the pollution source is performed according to the principle that the longer the monitoring period covered by the monitoring time T corresponding to the error mark, the worse the data reliability.

[0015] According to another aspect of the present invention, there is provided a cloud-edge collaborative pollution source automatic monitoring data verification system, including an edge supervision module and a cloud-edge collaborative verification module;

[0016] The edge supervision module is used to obtain in real time the pollutant concentration monitoring quantity output by the pollution source automatic monitoring device connected to it and the digital quantity output by its sensor, and to form the pollution source automatic monitoring data including the error mark field and upload it to the cloud-edge collaborative verification module;

[0017] The cloud-edge collaborative verification module is used to verify the automatic monitoring data of the pollution source based on the verification of the automatic monitoring data of the pollution source.

[0018] Preferably, in the cloud-edge collaborative pollution source automatic monitoring data verification system, the edge supervision module and the cloud-edge collaborative verification module are synchronized in real time.

[0019] Preferably, the error mark field of the cloud-edge collaborative pollution source automatic monitoring data verification system is calculated according to the following method:

[0020] For the pollutant concentration monitoring quantity output by the pollution source automatic monitoring device at any monitoring time T and the digital quantity output by its sensor, the standardized parameters of the sensor of the pollution source automatic monitoring device are used to calculate the pollutant concentration according to the digital quantity output by the sensor of the pollution source automatic monitoring device as the reference pollutant concentration, and the difference is compared with the pollutant concentration monitoring quantity output by the pollution source automatic monitoring device. When the difference is greater than a preset threshold, the data is marked with an error mark, otherwise the error mark is empty;

[0021] The pollution source automatic monitoring data also includes pollutant monitoring records that perform dehumidification, conversion, hourly average, and / or daily average calculations on pollutant concentration monitoring quantities.

[0022] Preferably, in the cloud-edge collaborative pollution source automatic monitoring data verification system, the cloud-edge collaborative verification module verifies the pollution source automatic monitoring data according to the principle that the longer the monitoring period covered by the monitoring time T corresponding to the error mark, the worse the data reliability.

[0023] Preferably, in the cloud-edge collaborative pollution source automatic monitoring data verification system, the edge supervision module is arranged in the data acquisition instrument; and the cloud-edge collaborative verification module is arranged in the pollutant data supervision platform.

[0024] In general, the above technical solutions conceived by the present invention can achieve the following beneficial effects compared with the prior art:

[0025] The cloud-edge collaborative pollution source automatic monitoring data verification method and system provided by the present invention are compatible with the existing pollutant data supervision platform hardware. Combined with edge supervision and cloud-edge collaborative verification, only a very small amount of data is increased, avoiding the consumption of large amounts of data uploaded to the network and cloud-based pollutant data supervision platform, and the reliability of the pollution source automatic monitoring data can be effectively verified.

[0026] The preferred solution is that the edge supervision module maintains real-time synchronization with the cloud-edge collaborative verification module to prevent data tampering, and the original underlying data is retained in the edge supervision module for inspection to ensure the authenticity, reliability and traceability of the data. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 It is a schematic diagram of the structure of a cloud-edge collaborative pollution source automatic monitoring data verification system provided by an embodiment of the present invention;

[0028] Figure 2 It is a working schematic diagram of the edge supervision module of the cloud-edge collaborative pollution source automatic monitoring data verification system provided by an embodiment of the present invention;

[0029] Figure 3 The present invention provides a flowchart of the cloud-edge collaborative pollution source automatic monitoring data verification method provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0030] In order to make the purpose, technical scheme and advantages of the present invention clearer, the present invention is further described in detail below in conjunction with the embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0031] The cloud-edge collaborative pollution source automatic monitoring data verification method provided by the present invention comprises the following steps:

[0032] (1) At any monitoring time T, the edge monitoring module obtains the pollutant concentration monitoring value output by the pollution source automatic monitoring device connected to it and the digital value output by its sensor;

[0033] The edge supervision module is arranged in the data acquisition instrument, and when the pollution source automatic monitoring device is connected to the pollutant data supervision platform, the edge supervision module is connected;

[0034] The edge supervision module is time synchronized with the cloud-edge collaborative verification module; the cloud-edge collaborative verification module is set on the pollutant data supervision platform;

[0035] (2) calculating the pollutant concentration as a reference pollutant concentration using the standardized parameters of the sensor of the automatic pollution source monitoring device according to the digital quantity output by the sensor of the automatic pollution source monitoring device obtained in step (1);

[0036] The standardized parameters are necessary parameters for converting the digital quantity output by the sensor of the automatic pollution source monitoring equipment into pollutant concentration. They are obtained when the edge supervision module is connected to the automatic pollution source monitoring equipment, and include the sample carrier, technology type, and / or model of the sensor of the automatic pollution source monitoring equipment.

[0037] (3) Compare the difference between the reference pollutant concentration obtained in step (2) and the pollutant concentration monitored by the automatic monitoring equipment of the pollution source obtained in step (1) at the monitoring time T. When the difference is greater than a preset threshold, mark the data with an error; the edge supervision module uploads the automatic monitoring data of the pollution source including the error mark field to the cloud-edge collaborative verification module for verification of the automatic monitoring data of the pollution source by the cloud-edge collaborative verification module.

[0038] The pollution source automatic monitoring data also includes pollutant monitoring records that perform dehumidification, conversion, hourly average, and / or daily average calculations on pollutant concentration monitoring quantities;

[0039] The verification of the automatic monitoring data of the pollution source is performed according to the principle that the longer the monitoring period covered by the monitoring time T corresponding to the error mark, the worse the data reliability.

[0040] The cloud-edge collaborative pollution source automatic monitoring data verification system provided by the present invention includes an edge supervision module and a cloud-edge collaborative verification module;

[0041] The edge supervision module is used to obtain in real time the pollutant concentration monitoring quantity output by the pollution source automatic monitoring device connected to it and the digital quantity output by its sensor, and to form the pollution source automatic monitoring data including the error mark field and upload it to the cloud-edge collaborative verification module;

[0042] The edge supervision module is synchronized with the cloud-edge collaborative verification module in real time;

[0043] The error flag field is calculated as follows:

[0044] For the pollutant concentration monitoring quantity output by the pollution source automatic monitoring device at any monitoring time T and the digital quantity output by its sensor, the standardized parameters of the sensor of the pollution source automatic monitoring device are used to calculate the pollutant concentration according to the digital quantity output by the sensor of the pollution source automatic monitoring device as the reference pollutant concentration, and the difference is compared with the pollutant concentration monitoring quantity output by the pollution source automatic monitoring device. When the difference is greater than a preset threshold, the data is marked with an error mark, otherwise the error mark is empty;

[0045] The pollution source automatic monitoring data also includes pollutant monitoring records that perform dehumidification, conversion, hourly average, and / or daily average calculations on pollutant concentration monitoring quantities;

[0046] The edge supervision module is arranged in a data acquisition device (data acquisition device);

[0047] The cloud-edge collaborative verification module is used to verify the automatic monitoring data of pollution sources based on the verification of the automatic monitoring data of pollution sources. In the preferred embodiment, the cloud-edge collaborative verification module verifies the automatic monitoring data of pollution sources according to the principle that the longer the monitoring period covered by the monitoring time T corresponding to the error mark, the worse the data reliability.

[0048] The cloud-edge collaborative verification module is set on the pollutant data supervision platform.

[0049] The following are examples:

[0050] The cloud-edge collaborative pollution source automatic monitoring data verification system provided in this embodiment is as follows: Figure 1 As shown, the Fourier infrared spectrum automatic monitoring equipment for flue gas from fixed pollution sources is taken as an example.

[0051] Infrared spectroscopy technology is widely used in automatic monitoring of pollution sources. Its principle is that according to the intensity, position and shape of the absorption peak in the infrared spectrum of an unknown substance, it is possible to determine which groups are contained in the molecule of the unknown substance, thereby inferring the structure of the unknown substance and completing qualitative analysis. In addition, the more light of a certain wavelength is absorbed, the lower the transmittance and the stronger the absorption peak. According to the Lambert-Beer law, quantitative analysis can be completed.

[0052] However, at present, there are many types of infrared spectrum pollution source automatic monitoring equipment (analyzers) on the market, and the program algorithms and spectra of various automatic monitoring equipment (analyzers) are not public and cannot be checked and verified, which provides conditions for in-depth data misoperation and even data falsification. Some automatic monitoring equipment manufacturers do not explain the key information such as the test method principles, spectra, wavelength selection, internal calculation parameters, software algorithms, etc. of their own brand equipment, which poses a risk of data falsification and is not conducive to environmental supervision.

[0053] The existing cloud-edge collaborative pollution source automatic detection system includes a high-performance data acquisition and transmission instrument installed at the pollution source and a cloud-based host computer. The cloud-based host computer is the hardware of the pollutant data supervision platform. An edge supervision module is set in the high-performance data acquisition and transmission instrument, and a cloud-edge collaborative verification module is set on the pollutant data supervision platform.

[0054] like Figure 2 As shown, by setting an edge supervision module in the data acquisition and transmission instrument, a built-in standard parameter database is built in, and the underlying data obtained by analyzing the sample by the pollution source automatic monitoring equipment, generally the sample analysis instrument (referred to as analyzer), that is, the digital quantity output by the sensor (such as current, spectrum, light intensity, chromaticity, digestion time, etc.), the pollutant concentration (PL t ), and the pollutant concentration calculated by the analyzer (P t ) to compare and get the data error.

[0055] The edge supervision module of this embodiment collects infrared spectrum absorption data from the infrared spectrum analyzer, and identifies the type of pollutants and calculates the concentration of pollutants through unified infrared spectrum identification parameters, so that the calculation of pollutant concentration is no longer limited to the infrared spectrum analyzer, and the automatic monitoring equipment of the infrared spectrum type not only provides the pollutant concentration value, but also needs to provide the measured spectral absorption value, that is, the digital quantity of the sensor. All pollutant indicators and concentrations are converted to obtain reference pollutant concentration values, and at the same time, they are analyzed and verified in the data acquisition and transmission instrument, and the verification results are uploaded to the cloud-edge collaborative verification module. The edge supervision module saves the reference pollutant concentration value and other data for future reference. This solves the problem that the automatic monitoring data of the existing automatic monitoring equipment analyzer may be improperly fabricated or falsified due to the opaque algorithms and parameters, and the underlying data volume is too large, and it is not easy to upload all of them to the cloud for supervision.

[0056] The specific process is as follows Figure 3 As shown:

[0057] (1) At any monitoring time T, the edge monitoring module obtains the pollutant concentration monitoring value output by the pollution source automatic monitoring device connected to it and the digital value output by its sensor;

[0058] When automatic monitoring is performed, the infrared spectroscopy equipment is required to upload data such as the background spectrum, spectrum, absorption peak wavenumber range, etc. for that period.

[0059] (2) calculating the pollutant concentration as a reference pollutant concentration using the standardized parameters of the sensor of the automatic pollution source monitoring device according to the digital quantity output by the sensor of the automatic pollution source monitoring device obtained in step (1);

[0060] Under the existing data acquisition and transmission instrument framework, an edge monitoring module is set up and a pollutant characteristic frequency standard spectrum is built in. Since different substances absorb infrared light differently, which is manifested as different wave numbers of characteristic absorption peaks, by building a standard spectrum database into the high-performance data acquisition and transmission instrument described in S1, the infrared absorption spectrum of the sample is compared with the infrared absorption spectrum of the standard substance in the standard spectrum database (such as the Sadtler spectrum database, the NIST database, etc.), and the sample can be qualitatively analyzed.

[0061] The performance parameters of the data acquisition and transmission instrument should not be lower than the configuration described in Table 1.

[0062] Table 1 Minimum performance configuration of data acquisition and transmission instrument

[0063]

[0064] Standardized parameter collection: For the Fourier transform infrared (FTIR) fixed flue gas pollution source automatic monitoring equipment, the required parameters are shown in Table 2.

[0065] Table 2 Standardized parameters for FTIR pollutant measurement

[0066]

[0067] The spectrum uploaded by the analyzer is compared with the built-in standard spectrum through the data acquisition and transmission instrument to identify the type of pollutant. As shown in Table 3, the standard spectrum of infrared characteristic vibration frequency of pollutants (extracted from the preparation instructions of "Determination of Gaseous Pollutants (SO2, NO, NO2, CO, CO2) in Waste Gas from Stationary Pollution Sources by Portable Fourier Transform Infrared Spectroscopy (HJ 1240-2021)" and "Determination of Ammonia and Hydrogen Chloride in Waste Gas from Stationary Pollution Sources by Portable Fourier Transform Infrared Spectroscopy (HJ 1330-2023)"), the environmental regulatory authorities can add pollutant indicators and characteristic vibration frequencies that need to be monitored as needed.

[0068] Table 3 Infrared characteristic vibration frequency of pollutants (wave number range)

[0069]

[0070] According to the basic principle of infrared spectroscopy, the principle of infrared spectrometer is that when infrared light of continuous wavelength irradiates the molecules of the substance being tested, the infrared light with the same inherent vibration frequency of the molecules is absorbed, and an infrared absorption spectrum with wave number as the horizontal coordinate and absorbance as the vertical coordinate is obtained. The quantitative analysis of pollutants is based on the Lambert-Beer law, and the target compound is quantitatively analyzed according to the absorption peak intensity.

[0071]

[0072] Where: A i ——absorption peak intensity of the i-th sample component; a i ——absorption coefficient of the ith sample; b——path length of the absorption cell; c i ——The concentration of the i-th sample component.

[0073] In actual operation, Fourier transform infrared (FTIR) involves the analysis of multiple absorption peaks. It is usually quantitatively analyzed by calculating the peak height or measuring the area of ​​the absorption peak, combined with the Lambert-Beer law. The quantitative calculation is generally divided into several steps:

[0074] a) Obtain spectral data: First obtain the FTIR spectrum and observe the absorption of each characteristic peak. Find the characteristic absorption peak corresponding to the target pollutant. b) Use spectral analysis software: Get the peak intensity by fitting and integrating the area of ​​the characteristic peak. c) Concentration calculation: Use the relationship with the standard curve, using the standard curve established by the standard sample with known concentration (usually the relationship between concentration and absorption peak intensity), and correspond the absorption peak intensity of the sample to the standard curve to calculate the concentration of the sample.

[0075] (3) Compare the difference between the reference pollutant concentration obtained in step (2) and the pollutant concentration monitored by the automatic monitoring equipment of the pollution source obtained in step (1) at the monitoring time T. When the difference is greater than a preset threshold, mark the data with an error; the edge supervision module uploads the automatic monitoring data of the pollution source including the error mark field to the cloud-edge collaborative verification module for verification of the automatic monitoring data of the pollution source by the cloud-edge collaborative verification module.

[0076] Compare the difference between the infrared spectrum analyzer data and the calculated data in the data acquisition and transmission instrument. If the data error is ≥±5%, mark the data and record it in the log.

[0077] According to the current normative documents such as HJ 75, HJ 76, HJ 355, HJ 212, etc., the data are dehumidified, converted, and calculated as hourly average and daily average.

[0078] Error report. The daily error calculation is performed on the data that is marked due to large data errors, and a daily error report is generated. A quarterly error report is generated every quarter. The error report is to add a mark of the data error to the data uploaded by the original data acquisition and transmission instrument, and a label is added to the data with an error ≥ ±5%.

[0079] The cloud-edge collaborative verification module verifies the automatic monitoring data of pollution sources based on the automatic monitoring data and error reports uploaded by the edge supervision module. When the error report covers a week, the data is re-verified and the pollutant emissions are calculated. If there is an excess of pollutants, an alarm is issued and corresponding measures are taken for early prevention and control of pollutants.

[0080] Prevent parameter tampering in the data acquisition and transmission instrument. All internal calculation parameters of the data acquisition and transmission instrument should be synchronized with the host computer in real time and cannot be changed on site. If destructive modifications are forced, the pollutant data supervision platform will receive an alarm. Data storage, save the historical data of the past 5 years.

[0081] It will be easily understood by those skilled in the art that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A cloud-edge collaborative pollution source automatic monitoring data verification method, characterized in that: The following steps are involved: (1) At any monitoring time T, the edge monitoring module obtains the pollutant concentration monitoring value output by the automatic monitoring device of the pollution source connected to it and the digital value output by its sensor; (2) calculating the pollutant concentration as a reference pollutant concentration using the standardized parameters of the sensor of the automatic pollution source monitoring device according to the digital quantity output by the sensor of the automatic pollution source monitoring device obtained in step (1); (3) Compare the difference between the reference pollutant concentration obtained in step (2) and the pollutant concentration monitored by the automatic monitoring equipment of the pollution source obtained in step (1) at the monitoring time T. When the difference is greater than a preset threshold, mark the data with an error; the edge supervision module uploads the automatic monitoring data of the pollution source including the error mark field to the cloud-edge collaborative verification module for verification of the automatic monitoring data of the pollution source by the cloud-edge collaborative verification module.

2. The cloud-edge collaborative pollution source automatic monitoring data verification method according to claim 1 is characterized in that: The edge supervision module is arranged in the data acquisition instrument, and when the pollution source automatic monitoring device is connected to the pollutant data supervision platform, the edge supervision module is connected.

3. The cloud-edge collaborative pollution source automatic monitoring data verification method according to claim 1 is characterized in that: The edge supervision module is time synchronized with the cloud-edge collaborative verification module; the cloud-edge collaborative verification module is set on the pollutant data supervision platform.

4. The cloud-edge collaborative pollution source automatic monitoring data verification method according to claim 1 is characterized in that: The standardized parameters described in step (2) are necessary parameters for converting the digital quantity output by the sensor of the automatic pollution source monitoring equipment into pollutant concentration. They are obtained when the edge supervision module is connected to the automatic pollution source monitoring equipment, and include the sample carrier, technology type, and / or model of the sensor of the automatic pollution source monitoring equipment.

5. The cloud-edge collaborative pollution source automatic monitoring data verification method according to claim 1, characterized in that: The pollution source automatic monitoring data also includes pollutant monitoring records that perform dehumidification, conversion, hourly average, and / or daily average calculations on pollutant concentration monitoring quantities; The verification of the automatic monitoring data of the pollution source is performed according to the principle that the longer the monitoring period covered by the monitoring time T corresponding to the error mark, the worse the data reliability.

6. A cloud-edge collaborative pollution source automatic monitoring data verification system, characterized in that: Includes edge supervision module and cloud-edge collaborative verification module; The edge supervision module is used to obtain in real time the pollutant concentration monitoring quantity output by the pollution source automatic monitoring device connected to it and the digital quantity output by its sensor, and to form the pollution source automatic monitoring data including the error mark field and upload it to the cloud-edge collaborative verification module; The cloud-edge collaborative verification module is used to verify the automatic monitoring data of the pollution source based on the verification of the automatic monitoring data of the pollution source.

7. The cloud-edge collaborative pollution source automatic monitoring data verification system according to claim 6, characterized in that: The edge supervision module is synchronized with the cloud-edge collaborative verification module in real time.

8. The cloud-edge collaborative pollution source automatic monitoring data verification system according to claim 6, characterized in that: The error flag field is calculated as follows: For the pollutant concentration monitoring quantity output by the pollution source automatic monitoring device at any monitoring time T and the digital quantity output by its sensor, the standardized parameters of the sensor of the pollution source automatic monitoring device are used to calculate the pollutant concentration according to the digital quantity output by the sensor of the pollution source automatic monitoring device as the reference pollutant concentration, and the difference is compared with the pollutant concentration monitoring quantity output by the pollution source automatic monitoring device. When the difference is greater than a preset threshold, the data is marked with an error mark, otherwise the error mark is empty; The pollution source automatic monitoring data also includes pollutant monitoring records that perform dehumidification, conversion, hourly average, and / or daily average calculations on pollutant concentration monitoring quantities.

9. The cloud-edge collaborative pollution source automatic monitoring data verification system according to claim 6, characterized in that: The cloud-edge collaborative verification module verifies the automatic monitoring data of pollution sources according to the principle that the longer the monitoring period covered by the monitoring time T corresponding to the error mark, the worse the data reliability.

10. The cloud-edge collaborative pollution source automatic monitoring data verification system according to claim 6, characterized in that: The edge supervision module is set in the data acquisition instrument; the cloud-edge collaborative verification module is set in the pollutant data supervision platform.

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