Greenhouse gas emission monitoring system based on atmospheric monitoring transmission

Abstract

The present invention belongs to the technical field of greenhouse gas emission supervision, and specifically is a greenhouse gas emission supervision system based on atmospheric monitoring and transmission, including a greenhouse gas monitoring and transmission module, a greenhouse gas emission assessment module, a greenhouse gas emission management decision module, a monitoring equipment calibration alarm module and a remote supervision terminal; the present invention performs greenhouse gas emission management decision analysis based on daily emission analysis results through the greenhouse gas emission management decision module, strengthens subsequent supervision of regional greenhouse gas emissions when generating emission management alarm signals, and performs calibration judgment analysis on all greenhouse gas monitoring equipment in the corresponding area through the monitoring equipment calibration alarm module, and checks and calibrates the corresponding greenhouse gas monitoring equipment when generating calibration alarm signals, thereby ensuring the detection accuracy of all greenhouse gas monitoring equipment and the accuracy of the output monitoring data, which is conducive to the effective supervision of regional greenhouse gas emissions.

Description

Technical Field

[0001] The present invention relates to the technical field of greenhouse gas emission supervision, and in particular to a greenhouse gas emission supervision system based on atmospheric monitoring transmission. Background Art

[0002] Greenhouse gas emissions are one of the main causes of global warming. In order to cope with climate change, the supervision of greenhouse gas emissions should be strengthened. A method for monitoring greenhouse gas emissions is disclosed in a Chinese invention patent with publication number CN111551676A. The technical solution of the invention mainly involves a greenhouse gas emission calibration part and a greenhouse gas emission monitoring part, which has the purpose of effectively reducing greenhouse gas emissions and effectively monitoring greenhouse gases generated by industrial production and / or people's lives. However, when the above-mentioned technical solution is used in actual application to monitor and manage greenhouse gas emissions in areas where enterprises, factories, etc. are located, it is impossible to reasonably analyze the daily greenhouse gas emissions in the corresponding areas and accurately evaluate the greenhouse gas emissions management performance in a certain period of time, which is not conducive to the back-end personnel to make targeted adjustments to management measures, and it is impossible to accurately determine whether it is necessary to check and calibrate the various greenhouse gas monitoring equipment involved, which is not conducive to ensuring the detection accuracy of each greenhouse gas monitoring equipment, and increases the difficulty of the back-end personnel's work; In view of the above technical defects, a solution is now proposed. Summary of the invention

[0003] The purpose of the present invention is to provide a greenhouse gas emission supervision system based on atmospheric monitoring transmission, which solves the problems that the prior art cannot reasonably analyze the daily greenhouse gas emission status in the corresponding area and accurately evaluate the greenhouse gas emission management performance within a certain period, and cannot accurately determine whether it is necessary to inspect and calibrate the various greenhouse gas monitoring equipment involved, resulting in great management difficulty.

[0004] To achieve the above object, the present invention provides the following technical solutions: A greenhouse gas emission monitoring system based on atmospheric monitoring transmission includes a greenhouse gas monitoring and transmission module, a greenhouse gas emission assessment module, a greenhouse gas emission management decision module, a monitoring equipment calibration alarm module and a remote monitoring terminal; an area to be monitored is obtained, a number of monitoring points are set in the corresponding area, and greenhouse gas monitoring equipment is deployed at each monitoring point; the greenhouse gas monitoring and transmission module monitors greenhouse gases through the deployed greenhouse gas monitoring equipment, and sends the greenhouse gas monitoring data to the greenhouse gas emission assessment module; The greenhouse gas emission assessment module analyzes the regional greenhouse gas emission status based on the monitoring data, obtains the daily emission control coefficient of the corresponding area, and sends the daily emission control coefficient of the corresponding area to the greenhouse gas emission management decision module; The greenhouse gas emission management decision module performs greenhouse gas emission management decision analysis based on the daily emission control coefficient of the corresponding area, and judges whether to generate an emission management alarm signal based on this, and sends it to the remote monitoring end when the emission management alarm signal is generated; the monitoring equipment calibration alarm module performs calibration judgment analysis on all greenhouse gas monitoring equipment in the corresponding area, and judges whether to generate a calibration alarm signal for the corresponding greenhouse gas monitoring equipment based on this, and sends it to the remote monitoring end when the calibration alarm signal is generated.

[0005] Furthermore, the specific analysis process of the greenhouse gas emission assessment module includes: Through analysis to determine whether the corresponding supervision point is an exclusion point, the number of exclusion points in the corresponding area is obtained and the ratio is calculated with the number of supervision points to obtain the exclusion analysis coefficient, and the greenhouse gas over-emission values ​​of all supervision points in the corresponding area are averaged to obtain the over-emission detection coefficient, and the greenhouse gas table values ​​of all supervision points in the corresponding area are averaged to obtain the table detection coefficient. The emission control coefficient of the corresponding date is obtained by weighted summing the exclusion analysis coefficient, the over-emission detection coefficient and the table detection coefficient.

[0006] Furthermore, the specific analysis process of determining whether the corresponding regulatory point is a rejection point is as follows: The concentration of greenhouse gas at the corresponding monitoring point is obtained and marked as a greenhouse gas coefficient, and the greenhouse gas coefficient is numerically compared with a preset greenhouse gas coefficient threshold. If the greenhouse gas coefficient exceeds the preset greenhouse gas coefficient threshold, it is determined that the corresponding monitoring point is in a greenhouse gas over-emission state; The duration that the corresponding supervision point is in the greenhouse gas over-emission state on the corresponding date is obtained and marked as the greenhouse gas over-emission value, and the average value of the greenhouse gas coefficient of the corresponding supervision point on the corresponding date is marked as the greenhouse gas table value, and the greenhouse gas over-emission value and the greenhouse gas table value are numerically compared with the preset greenhouse gas over-emission threshold and the preset greenhouse gas table threshold respectively; if the greenhouse gas over-emission value or the greenhouse gas table value exceeds the corresponding preset threshold, the corresponding supervision point is marked as an rejection point.

[0007] Furthermore, the specific analysis process of greenhouse gas emission management decision analysis is as follows: Set the emission cycle to L1 days. When the number of days reaches L1, obtain the daily emission control coefficients in the emission cycle. Establish a rectangular coordinate system with time as the X-axis and the emission control coefficients as the Y-axis. Mark several coordinate points in the first quadrant of the rectangular coordinate system based on the daily emission control coefficients in the emission cycle, and define the corresponding coordinate points as target points. In the rectangular coordinate system, a threshold ray is drawn parallel to the X-axis and with its endpoint on the Y-axis. The target point above the threshold ray is marked as a warning point. The number of warning points is obtained and marked as the emission warning value. The emission warning value is numerically compared with the preset emission warning threshold. If the emission warning value exceeds the preset emission warning threshold, an emission management alarm signal is generated.

[0008] Furthermore, if the emission warning value does not exceed the preset emission warning threshold, a line segment perpendicular to the threshold ray is drawn with the warning point as the endpoint and marked as a warning line segment, and the length of the corresponding warning line segment is collected and marked as a warning longitudinal distance value, and the average of all warning longitudinal distance values ​​is calculated to obtain a warning distance measurement value; All target points in the rectangular coordinate system are connected by a curve to obtain all parts of the curve showing an upward trend, mark the corresponding parts showing an upward trend as upward segments, mark the number of target points involved in the corresponding upward segments as emission increase values, mark the number of emission increase values ​​exceeding a preset emission increase threshold as emission increase deviation values, and mark the average value of all emission increase values ​​as emission increase condition value; obtain the emission decision coefficient by numerically calculating the emission warning value, warning distance measurement value, emission increase deviation value and emission increase condition value, numerically compare the emission decision coefficient with a preset emission decision coefficient threshold, and generate an emission management alarm signal if the emission decision coefficient exceeds the preset emission decision coefficient threshold.

[0009] Furthermore, the calibration judgment analysis process of the monitoring equipment calibration alarm module is as follows: The time when the corresponding greenhouse gas monitoring equipment was calibrated last is obtained and marked as the first time, the interval between the current time and the first time is marked as the first duration, and the first duration is numerically compared with the corresponding preset first duration threshold. If the first duration exceeds the corresponding first duration threshold, a calibration alarm signal for the corresponding greenhouse gas monitoring equipment is generated.

[0010] Furthermore, if the first time duration does not exceed the corresponding first time duration threshold, the total time duration during which the corresponding greenhouse gas monitoring device is in a high-impact state of the factor within the first time duration is marked as the high-impact time duration of the factor, and the average of all factor impact values ​​of the corresponding greenhouse gas monitoring device within the first time duration is calculated to obtain the factor obstacle value, and the calibration alarm value is obtained by numerically calculating the first time duration, the high-impact time duration of the factor and the factor obstacle value, and the calibration alarm value is numerically compared with the corresponding preset calibration alarm threshold value. If the calibration alarm value exceeds the preset calibration alarm threshold value, a calibration alarm signal for the corresponding greenhouse gas monitoring device is generated.

[0011] Furthermore, the monitoring device calibration alarm module is communicatively connected to the monitoring device impact analysis module. The monitoring device impact analysis module detects the environment in which the greenhouse gas monitoring device is located, and determines whether the corresponding greenhouse gas monitoring device is in a state of high factor impact through correlation factor impact analysis. When it is determined that the corresponding greenhouse gas monitoring device is in a state of high factor impact, the factor impact value is obtained through analysis, and the corresponding analysis result is sent to the monitoring device calibration alarm module.

[0012] Furthermore, the specific analysis process of the correlation factor impact analysis is as follows: The temperature data, humidity data, air pressure data and electromagnetic interference intensity data of the environment in which the corresponding greenhouse gas monitoring equipment is located are obtained, and the fluctuation data of the corresponding greenhouse gas monitoring equipment is collected, and the temperature data, humidity data, air pressure data, electromagnetic interference intensity data and fluctuation data are respectively compared with the corresponding preset data requirements. If there are parameters that do not meet the corresponding preset data requirements, it is determined that the corresponding greenhouse gas monitoring equipment is in a state of high influence of factors; When it is judged that the corresponding greenhouse gas monitoring equipment is in a state of high factor influence, the parameters that do not meet the corresponding preset data requirements are marked as negative parameters; the deviation values ​​of the collected corresponding negative parameters compared with the corresponding preset data requirements are marked as negative characteristic values, and five parameters are set in advance to correspond to a set of preset weight values ​​respectively. The negative characteristic value of the corresponding negative parameter is multiplied by the corresponding preset weight value to obtain the negative performance value, and the negative performance values ​​of all negative parameters are summed up to obtain the factor influence value.

[0013] Further, the monitoring equipment calibration alarm module is communicatively connected to the calibration traceability analysis module, the monitoring equipment calibration alarm module sends the calibration alarm signal to the calibration traceability analysis module, the calibration traceability analysis module marks the time when the calibration alarm signal is generated as the calibration alarm time, and marks the time when the manager calibrates the corresponding greenhouse gas monitoring equipment as the calibration response time, and calculates the time difference between the calibration response time and the calibration alarm time to obtain the calibration reaction value; An analysis period is set, all calibration reaction values ​​within the analysis period are obtained and their mean is calculated to obtain a calibration detection value, and the calibration reaction value is numerically compared with a preset calibration reaction threshold value. If the calibration reaction value exceeds the preset calibration reaction threshold value, the corresponding calibration reaction value is marked as a calibration abnormality value, the number of calibration abnormality values ​​within the analysis period is obtained and its ratio with the number of calibration reaction values ​​is calculated to obtain a calibration abnormality value, the calibration detection value and the calibration abnormality value are numerically compared with the preset calibration detection threshold value and the preset calibration abnormality threshold value respectively, if the calibration detection value or the calibration abnormality value exceeds the corresponding preset threshold value, a calibration management abnormality signal is generated, and the calibration management abnormality signal is sent to the remote supervision end.

[0014] Compared with the prior art, the present invention has the following beneficial effects: 1. In the present invention, the greenhouse gas emission assessment module analyzes the regional greenhouse gas emission status based on the monitoring data, and the greenhouse gas emission management decision module performs greenhouse gas emission management decision analysis based on the daily emission analysis results. When the emission management alarm signal is generated, the subsequent supervision of regional greenhouse gas emissions is strengthened, and the calibration judgment analysis of all greenhouse gas monitoring equipment in the corresponding area is performed through the monitoring equipment calibration alarm module, which is conducive to the timely inspection and calibration of all greenhouse gas monitoring equipment, ensures the accuracy of the output monitoring data, and realizes the effective supervision of regional greenhouse gas emissions; 2. In the present invention, the impact analysis of associated factors is performed through the monitoring equipment impact analysis module to determine whether the corresponding greenhouse gas monitoring equipment is in a high-impact state of the factors and obtain the factor impact value. It can reasonably analyze the influencing factors affecting the detection accuracy of the greenhouse gas monitoring equipment and provide data support for the analysis process of the monitoring equipment calibration alarm module. The calibration management performance of the greenhouse gas monitoring equipment during the analysis period is evaluated through the calibration traceability analysis module, so as to timely strengthen the subsequent supervision of the personnel responsible for the calibration operation, ensure the timeliness of the subsequent equipment calibration, and significantly reduce the work difficulty of the background personnel. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to facilitate understanding by those skilled in the art, the present invention is further described below in conjunction with the accompanying drawings; Figure 1 This is a system block diagram of Embodiment 1 of the present invention; Figure 2 This is a system block diagram of Embodiment 2 and Embodiment 3 of the present invention. DETAILED DESCRIPTION

[0016] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0017] Embodiment 1: Figure 1 As shown, the greenhouse gas emission monitoring system based on atmospheric monitoring transmission proposed by the present invention includes a greenhouse gas monitoring and transmission module, a greenhouse gas emission assessment module, a greenhouse gas emission management decision module, a monitoring equipment calibration alarm module and a remote monitoring terminal; an area to be monitored (such as an area where an enterprise or factory is located) is obtained, several monitoring points are set in the corresponding area, and greenhouse gas monitoring equipment is respectively deployed at each monitoring point; The greenhouse gas monitoring and transmission module monitors greenhouse gases (including carbon dioxide, methane, nitrous oxide, etc.) through a number of greenhouse gas monitoring devices deployed, and sends the greenhouse gas monitoring data to the greenhouse gas emission assessment module through wireless transmission technology (adopting advanced wireless communication technologies such as 4G / 5G, LoRa, NB-IoT, etc. to achieve real-time and efficient data transmission).

[0018] The greenhouse gas emission assessment module analyzes the regional greenhouse gas emission status based on the monitoring data, and obtains the daily emission control coefficient PX of the corresponding area. The daily emission control coefficient PX of the corresponding area is sent to the greenhouse gas emission management decision module and the remote monitoring end, which is not only conducive to the background personnel to grasp the daily greenhouse gas emission control status of the corresponding area in detail, but also can provide data support for the analysis process of the greenhouse gas emission management decision module; the specific analysis process of the greenhouse gas emission assessment module is as follows: The greenhouse gas concentration of the corresponding monitoring point (i.e., the concentration and value of various greenhouse gases that need to be monitored) is obtained and marked as a greenhouse gas coefficient, and the greenhouse gas coefficient is numerically compared with a preset greenhouse gas coefficient threshold. If the greenhouse gas coefficient exceeds the preset greenhouse gas coefficient threshold, it indicates that the real-time greenhouse gas emission of the corresponding monitoring point is too large, and the corresponding monitoring point is judged to be in a greenhouse gas over-emission state; Obtain the duration of the greenhouse gas over-emission state of the corresponding supervision point on the corresponding date and mark it as the greenhouse gas over-emission value, and mark the average value of the greenhouse gas coefficient of the corresponding supervision point on the corresponding date as the greenhouse gas table value, and compare the greenhouse gas over-emission value and the greenhouse gas table value with the preset greenhouse gas over-emission threshold and the preset greenhouse gas table threshold respectively. If the greenhouse gas over-emission value or the greenhouse gas table value exceeds the corresponding preset threshold, indicating that the greenhouse gas emission control status of the corresponding supervision point on the corresponding date is not good, then the corresponding supervision point is marked as an exception point; The number of rejection points in the corresponding area is obtained and the ratio thereof is calculated with the number of supervision points to obtain the rejection analysis coefficient, and the greenhouse gas over-discharge values ​​of all supervision points in the corresponding area are averaged to obtain the over-discharge detection coefficient, and the greenhouse gas table values ​​of all supervision points in the corresponding area are averaged to obtain the table detection coefficient; The emission control coefficient PX for the corresponding date is calculated by weighted summing up the rejection analysis coefficient WF, the over-emission detection coefficient GN and the table detection coefficient YR through the formula PX=c×WF+m×GN+t×YR; wherein c, m, and t are preset weight coefficients with values ​​greater than zero, and the larger the value of the emission control coefficient PX, the worse the overall performance of regional greenhouse gas emission control on the corresponding date.

[0019] The greenhouse gas emission management decision module performs greenhouse gas emission management decision analysis based on the daily emission control coefficient of the corresponding area, and determines whether to generate an emission management alarm signal based on this. When the emission management alarm signal is generated, it is sent to the remote monitoring end, which can reasonably analyze and accurately evaluate the greenhouse gas emission management performance of the corresponding area during the emission cycle. Feedback, when the emission management alarm signal is generated, remind the back-end personnel to strengthen the subsequent supervision of regional greenhouse gas emissions; the specific analysis process of greenhouse gas emission management decision analysis is as follows: Set the emission cycle with the number of days as L1, preferably, L1=15; when the number of days reaches L1, obtain the daily emission control coefficient in the emission cycle, establish a rectangular coordinate system with time as the X-axis and the emission control coefficient as the Y-axis, and mark a number of coordinate points in the first quadrant of the rectangular coordinate system based on the daily emission control coefficient in the emission cycle, and define the corresponding coordinate points as target points; In the rectangular coordinate system, a threshold ray is drawn which is parallel to the X-axis and whose endpoint is on the Y-axis. It should be noted that the Y-axis coordinate value of the threshold ray represents the preset emission control coefficient threshold. The target points above the threshold ray are marked as warning points, the number of warning points is obtained and marked as emission warning values, and the emission warning value is numerically compared with the preset emission warning threshold. If the emission warning value exceeds the preset emission warning threshold, indicating that the greenhouse gas emission management status for the corresponding area during the emission period is poor, an emission management alarm signal is generated.

[0020] Furthermore, if the emission warning value does not exceed the preset emission warning threshold, a line segment perpendicular to the threshold ray is drawn with the warning point as the endpoint and marked as a warning line segment, and the length of the corresponding warning line segment is collected and marked as a warning longitudinal distance value, and the average of all warning longitudinal distance values ​​is calculated to obtain a warning distance measurement value; Connect all target points in the rectangular coordinate system through a curve, obtain all parts of the curve showing an upward trend, mark the corresponding parts showing an upward trend as an upward segment, mark the number of target points involved in the corresponding upward segment as an emission increase value, compare the emission increase value with a preset emission increase threshold, mark the number of emission increase values ​​exceeding the preset emission increase threshold as an emission increase value, and mark the average value of all emission increase values ​​as an emission increase value; The emission warning value ZF, the warning distance measurement value QY, the emission increase value SP and the emission increase value RN are numerically calculated by the formula XP=rs×ZF+tu×QY+ny×SP+wq×RN to obtain the emission decision coefficient XP; wherein rs, tu, ny, wq are preset proportional coefficients with values ​​greater than zero, and the larger the value of the emission decision coefficient XP, the worse the greenhouse gas emission management status for the corresponding area during the emission cycle is overall; The emission decision coefficient XP is numerically compared with the preset emission decision coefficient threshold. If the emission decision coefficient XP exceeds the preset emission decision coefficient threshold, it indicates that the greenhouse gas emission management status for the corresponding area during the emission period is generally poor, and an emission management alarm signal is generated.

[0021] The monitoring equipment calibration alarm module performs calibration judgment analysis on all greenhouse gas monitoring equipment in the corresponding area, and judges whether to generate a calibration alarm signal for the corresponding greenhouse gas monitoring equipment. When the calibration alarm signal is generated, it is sent to the remote monitoring terminal; When the back-end personnel receive the calibration alarm signal, they will promptly arrange personnel to inspect and calibrate the corresponding greenhouse gas monitoring equipment to ensure the detection accuracy of all greenhouse gas monitoring equipment, which is conducive to ensuring the accuracy of the output monitoring data; the calibration judgment and analysis process of the monitoring equipment calibration alarm module is as follows: The time when the corresponding greenhouse gas monitoring device was calibrated last is obtained and marked as the first time, the interval between the current time and the first time is marked as the first time, and the first time is numerically compared with the corresponding preset first time threshold. If the first time exceeds the corresponding first time threshold, it indicates that the interval from the last calibration of the corresponding greenhouse gas monitoring device is long, and the corresponding greenhouse gas monitoring device needs to be checked and calibrated, then a calibration alarm signal for the corresponding greenhouse gas monitoring device is generated.

[0022] Furthermore, if the first duration does not exceed the corresponding first duration threshold, the total duration during which the corresponding greenhouse gas monitoring device is in a factor high impact state within the first duration is marked as the factor high impact duration, and all factor impact values ​​of the corresponding greenhouse gas monitoring device within the first duration are averaged to obtain the factor barrier value; The first time length TS, the factor high impact time length HN and the factor barrier value YM are numerically calculated by the formula TR=up×TS+rp×HN+tw×YM to obtain the calibration alarm value TR, wherein up, rp and tw are preset weight coefficients with values ​​greater than zero, and the larger the value of the calibration alarm value TR is, the more it is necessary to check and calibrate the corresponding greenhouse gas monitoring equipment. The calibration alarm value TR is numerically compared with the corresponding preset calibration alarm threshold. If the calibration alarm value TR exceeds the preset calibration alarm threshold, it indicates that the corresponding greenhouse gas monitoring equipment needs to be checked and calibrated to ensure its detection accuracy, and a calibration alarm signal for the corresponding greenhouse gas monitoring equipment is generated.

[0023] Embodiment 2: Figure 2 As shown, the difference between this embodiment and the first embodiment is that the monitoring device calibration alarm module is communicatively connected to the monitoring device impact analysis module, and the monitoring device impact analysis module detects the environment in which the greenhouse gas monitoring device is located, and determines whether the corresponding greenhouse gas monitoring device is in a high-impact state of the factor through the impact analysis of the associated factors; When it is determined that the corresponding greenhouse gas monitoring equipment is in a high-impact state of the factor, the factor impact value is obtained through analysis, and the corresponding analysis result is sent to the monitoring equipment calibration alarm module, which can reasonably analyze the factors affecting the detection accuracy of the greenhouse gas monitoring equipment, and provide data support for the analysis process of the monitoring equipment calibration alarm module to ensure the accuracy of its analysis results; the specific analysis process of the correlation factor impact analysis is as follows: The temperature data, humidity data, air pressure data and electromagnetic interference intensity data of the environment in which the corresponding greenhouse gas monitoring equipment is located are obtained, and the fluctuation data of the corresponding greenhouse gas monitoring equipment is collected, and the temperature data, humidity data, air pressure data, electromagnetic interference intensity data and fluctuation data are respectively compared with the corresponding preset data requirements. If there are parameters that do not meet the corresponding preset data requirements, it indicates that the current environment has a greater adverse effect on the detection accuracy of the greenhouse gas monitoring equipment, and the corresponding greenhouse gas monitoring equipment is judged to be in a state of high factor influence; When it is determined that the corresponding greenhouse gas monitoring equipment is in a state of high influence of factors, the parameters that do not meet the corresponding preset data requirements are marked as negative parameters (for example, when the humidity data does not meet the corresponding requirements, the humidity is marked as a negative parameter); the deviation value of the corresponding negative parameter collected compared to the corresponding preset data requirements is marked as a negative characteristic value, and five parameters are set in advance to correspond to a set of preset weight values. It should be noted that the values ​​of the preset weight values ​​are all positive numbers, and the stronger the correlation between the stable operation of the greenhouse gas monitoring equipment and the corresponding parameters, the larger the value of the preset weight value matching it; The negative characteristic value of the corresponding negative parameter is multiplied by the corresponding preset weight value to obtain the negative performance value, and the negative performance values ​​of all negative parameters are summed up to obtain the factor influence value; and the larger the numerical value of the factor influence value, the greater the adverse effect of the current environment on the detection accuracy of the greenhouse gas monitoring equipment.

[0024] Embodiment 3: Figure 2 As shown, the difference between this embodiment and the first and second embodiments is that the monitoring device calibration alarm module is communicatively connected to the calibration traceability analysis module, the monitoring device calibration alarm module sends the calibration alarm signal to the calibration traceability analysis module, the calibration traceability analysis module marks the generation time of the calibration alarm signal as the calibration alarm time, and marks the time when the manager calibrates the corresponding greenhouse gas monitoring device as the calibration response time, and calculates the time difference between the calibration response time and the calibration alarm time to obtain the calibration reaction value; and the larger the value of the calibration reaction value, the more untimely the corresponding inspection and calibration process of the greenhouse gas monitoring device is. An analysis period is set, preferably, the analysis period is forty-five days; all calibration reaction values ​​within the analysis period are obtained and the average thereof is calculated to obtain a calibration detection value, and the calibration reaction value is numerically compared with a preset calibration reaction threshold value. If the calibration reaction value exceeds the preset calibration reaction threshold value, it indicates that the corresponding inspection and calibration process for the greenhouse gas monitoring equipment is not timely, and the corresponding calibration reaction value is marked as a calibration abnormal value; The number of calibration anomaly values ​​within the analysis period is obtained and the ratio thereof is calculated with the number of calibration reaction values ​​to obtain the calibration error table value. The calibration detection value and the calibration error table value are numerically compared with the preset calibration detection threshold and the preset calibration error table threshold respectively. If the calibration detection value or the calibration error table value exceeds the corresponding preset threshold, indicating that the calibration management performance of the greenhouse gas monitoring equipment within the analysis period is poor, a calibration management abnormality signal is generated, and the calibration management abnormality signal is sent to the remote monitoring end. When the remote monitoring end receives the calibration management abnormality signal, an early warning is issued to remind the background personnel to strengthen the supervision of the personnel responsible for the calibration operation, to ensure the timeliness of subsequent equipment calibration, and to ensure the detection accuracy of all greenhouse gas monitoring equipment.

[0025] The working principle of the present invention is as follows: when in use, the greenhouse gas at each supervision point in the corresponding area is monitored through a greenhouse gas monitoring and transmission module based on a number of greenhouse gas monitoring devices; the greenhouse gas emission assessment module analyzes the regional greenhouse gas emission status based on the monitoring data to obtain the emission control coefficient; the greenhouse gas emission management decision module performs greenhouse gas emission management decision analysis based on the daily emission control coefficient of the corresponding area; when an emission management alarm signal is generated, subsequent supervision of regional greenhouse gas emissions is strengthened; and calibration judgment analysis is performed on all greenhouse gas monitoring devices in the corresponding area through the monitoring equipment calibration alarm module; when a calibration alarm signal is generated, personnel are arranged to inspect and calibrate the corresponding greenhouse gas monitoring equipment, thereby ensuring the detection accuracy of all greenhouse gas monitoring equipment and the accuracy of the output monitoring data, which is conducive to the effective supervision of regional greenhouse gas emissions.

[0026] The above formulas are all dimensionless and numerical calculations. The formula is a formula obtained by collecting a large amount of data and performing software simulation to obtain the most recent real situation. The preset parameters in the formula are set by technicians in this field according to actual conditions. The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the contents of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that technicians in the relevant technical field can understand and use the present invention well. The present invention is only limited by the claims and their full scope and equivalents.

Claims

1. A greenhouse gas emission monitoring system based on atmospheric monitoring transmission, characterized in that: It includes a greenhouse gas monitoring and transmission module, a greenhouse gas emission assessment module, a greenhouse gas emission management decision module, a monitoring equipment calibration alarm module and a remote monitoring terminal; the greenhouse gas monitoring and transmission module monitors greenhouse gases through a number of greenhouse gas monitoring devices deployed, and sends the greenhouse gas monitoring data to the greenhouse gas emission assessment module; the greenhouse gas emission assessment module analyzes the regional greenhouse gas emission status based on the monitoring data, and obtains the daily emission control coefficient of the corresponding area accordingly; The greenhouse gas emission management decision module performs greenhouse gas emission management decision analysis based on the daily emission control coefficient of the corresponding area, and sends the emission management alarm signal to the remote monitoring end when it is generated; the monitoring equipment calibration alarm module performs calibration judgment analysis on all greenhouse gas monitoring equipment in the corresponding area, and sends the calibration alarm signal to the remote monitoring end when it is generated.

2. The greenhouse gas emission monitoring system based on atmospheric monitoring transmission according to claim 1 is characterized in that: The specific analysis process of the greenhouse gas emission assessment module includes: Through analysis, it is determined whether the corresponding supervision point is an exclusion point, and the emission control coefficient of the corresponding date is obtained by weighted summation of the exclusion analysis coefficient, over-exclusion detection coefficient and exclusion detection coefficient.

3. The greenhouse gas emission monitoring system based on atmospheric monitoring transmission according to claim 2 is characterized in that: The specific analysis process to determine whether the corresponding regulatory point is a rejection point is as follows: If the greenhouse gas coefficient exceeds the preset greenhouse gas coefficient threshold, the corresponding supervision point is judged to be in a greenhouse gas over-emission state; the duration of the corresponding supervision point in the corresponding date in the greenhouse gas over-emission state is obtained and marked as the greenhouse gas over-emission value, and the average value of the greenhouse gas coefficient of the corresponding supervision point on the corresponding date is marked as the greenhouse gas emission value; if the greenhouse gas over-emission value or the greenhouse gas emission value exceeds the corresponding preset threshold, the corresponding supervision point is marked as an emission point.

4. The greenhouse gas emission monitoring system based on atmospheric monitoring transmission according to claim 1 is characterized in that: The specific analysis process of greenhouse gas emission management decision analysis is as follows: The number of warning points is obtained and marked as an emission warning value. If the emission warning value exceeds a preset emission warning threshold, an emission management alarm signal is generated.

5. The greenhouse gas emission monitoring system based on atmospheric monitoring transmission according to claim 4 is characterized in that: If the emission warning value does not exceed the preset emission warning threshold, the emission decision coefficient is obtained by numerically calculating the emission warning value, warning distance measurement value, emission increase value and emission increase condition value. If the emission decision coefficient exceeds the preset emission decision coefficient threshold, an emission management alarm signal is generated.

6. The greenhouse gas emission monitoring system based on atmospheric monitoring transmission according to claim 1 is characterized in that: The calibration judgment and analysis process of the monitoring equipment calibration alarm module is as follows: The time when the corresponding greenhouse gas monitoring equipment was calibrated last is obtained and marked as the first time, and the interval between the current time and the first time is marked as the first duration. If the first duration exceeds the corresponding first duration threshold, a calibration alarm signal for the corresponding greenhouse gas monitoring equipment is generated.

7. The greenhouse gas emission monitoring system based on atmospheric monitoring transmission according to claim 6 is characterized in that: If the first time duration does not exceed the corresponding first time duration threshold, the total time duration that the corresponding greenhouse gas monitoring device is in the high impact state of the factor within the first time duration is marked as the high impact time duration of the factor, and the calibration alarm value is obtained by numerically calculating the first time duration, the high impact time duration of the factor and the factor barrier value. If the calibration alarm value exceeds the preset calibration alarm threshold, a calibration alarm signal of the corresponding greenhouse gas monitoring device is generated.

8. The greenhouse gas emission monitoring system based on atmospheric monitoring transmission according to claim 6 is characterized in that: The monitoring equipment calibration alarm module is communicatively connected to the monitoring equipment impact analysis module. The monitoring equipment impact analysis module detects the environment in which the greenhouse gas monitoring equipment is located, and determines whether the corresponding greenhouse gas monitoring equipment is in a state of high factor impact through correlation factor impact analysis, and obtains the factor impact value through analysis when it is determined that the corresponding greenhouse gas monitoring equipment is in a state of high factor impact.

9. The greenhouse gas emission monitoring system based on atmospheric monitoring transmission according to claim 8 is characterized in that: The specific analysis process of the correlation factor impact analysis is as follows: if there are parameters that do not meet the corresponding preset data requirements, the corresponding greenhouse gas monitoring equipment is judged to be in a state of high factor impact; when the corresponding greenhouse gas monitoring equipment is judged to be in a state of high factor impact, the negative performance values ​​of all negative parameters are summed up to obtain the factor impact value.

10. The greenhouse gas emission monitoring system based on atmospheric monitoring transmission according to claim 6 is characterized in that: The calibration alarm module of the monitoring equipment is communicatively connected to the calibration traceability analysis module. The calibration traceability analysis module compares the calibration detection value and the calibration deviation table value with the preset calibration detection threshold and the preset calibration deviation table threshold respectively. If the calibration detection value or the calibration deviation table value exceeds the corresponding preset threshold, a calibration management exception signal is generated and the calibration management exception signal is sent to the remote monitoring end.

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