A carbon emission data analysis method and system for atmospheric environment monitoring

Abstract

The present invention relates to the technical field of data analysis, and specifically discloses a carbon emission data analysis method and system for atmospheric environment monitoring. The method includes: S1: Periodically obtain historical carbon contents, calculate the average carbon content, calculate the fluctuation value and set an early warning range; S2: Calculate the monitoring coefficient, set monitoring nodes, and obtain the emission data at the monitoring nodes; S3: Calculate the comprehensive carbon emissions of the monitoring points; S4: Obtain the number of monitoring points in the target area and the total area of the target area, and calculate the target carbon comprehensive value of the target area; S5: Screen out the over-standard emissions. If the over-standard emissions are continuously marked as such for more than a certain number of times, remind the staff to handle them. By analyzing the historical carbon emission data of the target area and calculating and setting monitoring nodes based on the historical carbon emission data of the target area, the present invention achieves the purpose of dynamically monitoring carbon emissions and analyzes the carbon emission data more accurately.

Description

Technical Field

[0001] The present invention relates to the technical field of data analysis, and in particular to a carbon emission data analysis method and system for atmospheric environment monitoring. Background Art

[0002] As an important part of the ecosystem, the protection of the atmospheric environment is of vital importance. Carbon emission monitoring can timely detect and reduce carbon emissions, thereby reducing the negative impact on the atmospheric environment and protecting the stability of the atmospheric environment.

[0003] At present, the same set of standards is used to measure the carbon content in the atmosphere. The use of unified standards can ensure the comparability of carbon emission data in the atmosphere in different regions, which helps to fully understand the changing trend of carbon content in the atmosphere as a whole or in a specific region. In addition, the use of unified standards can simplify the calibration and maintenance of monitoring equipment and reduce measurement errors caused by equipment differences.

[0004] In the existing technology, since carbon emission factors such as emission sources and emission types vary from region to region, using a unified standard may not accurately reflect the actual carbon emissions in certain regions, so there are certain limitations. Therefore, it is necessary to analyze the historical carbon emission data of the target region, calculate and set monitoring nodes based on the historical carbon emission data of the target region, so as to achieve the purpose of dynamic monitoring of carbon emissions and make the analysis of carbon emission data more accurate. Summary of the invention

[0005] The purpose of the present invention is to provide a carbon emission data analysis method and system for atmospheric environment monitoring to solve the above technical problems.

[0006] The purpose of the present invention can be achieved through the following technical solutions:

[0007] A carbon emission data analysis method for atmospheric environment monitoring comprises the following steps:

[0008] S1: Periodically obtain the carbon content C of the atmospheric environment in the target area and calculate the average carbon content of the atmospheric environment in the target area Among them, I represents the total number of times the carbon content of the atmospheric environment in the target area is obtained, Ci represents the carbon content of the atmospheric environment in the i-th acquisition period, and the fluctuation value is calculated. Set the warning interval [Cave-bs, Cave+bs];

[0009] S2: Calculate the monitoring coefficient k=Csta / Cave, where Csta represents the preset standard carbon content, set monitoring nodes, and the time interval between adjacent monitoring nodes is k*Ts, where Ts represents the preset monitoring period;

[0010] Acquire emission data between two adjacent monitoring nodes, wherein the emission data includes the type N of carbon emissions and the emission amount PF of carbon emissions;

[0011] S3: Calculate the comprehensive carbon emissions CZ within the monitoring range corresponding to the monitoring point by using a formula, the formula is specifically:

[0012]

[0013] Among them, γn represents the number of carbon atoms in a single molecule of the nth carbon emission, and PFn represents the emission of the nth carbon emission;

[0014] S4: Obtain the number of monitoring points J and the total area S of the target area, and calculate the target carbon comprehensive value MCZ of the target area by the formula, wherein the formula is:

[0015]

[0016] Among them, sj represents the area of ​​the monitoring range corresponding to the jth monitoring point in the target area, and CZj represents the comprehensive carbon emissions within the monitoring range corresponding to the jth monitoring point;

[0017] S5: If the target carbon comprehensive value MCZ is within the warning interval [Cave-s, Cave+s], it means that the carbon content in the current target area is at a normal level. If MCZ>Cave+s, it means that the carbon content in the current target area is at a high level. At this time, the average carbon emissions in the target area are calculated. Among them, PFj represents the emission of carbon emissions within the monitoring range of the jth monitoring point;

[0018] When the average value of carbon emissions PFave>PFsta, the carbon emissions will be marked as excessive emissions, where PFsta represents the preset standard value of carbon emissions. If the same excessive emissions exist at three consecutive monitoring points, the staff of the monitoring center will be reminded to control the excessive emissions.

[0019] As a further solution of the present invention: in the step S1, if the fluctuation value bs=0, the warning interval [Cmin, Cmax] is set, wherein Cmin represents the minimum value of the atmospheric carbon content in I collection cycles, and Cmax represents the maximum value of the atmospheric carbon content in I collection cycles.

[0020] As a further solution of the present invention: in the step S2, if the interval k*Ts between adjacent monitoring nodes is less than Tmin, the interval between adjacent monitoring nodes is set to Tmin, wherein Tmin represents a preset minimum monitoring period.

[0021] As a further solution of the present invention: in the step S3, if the comprehensive carbon emissions CZ of the monitoring point is greater than CZmax, the monitoring point will be marked as a special monitoring point, and the staff will be reminded to screen the carbon emission sources within the monitoring range of the special monitoring point, where CZmax represents the preset maximum comprehensive carbon emissions.

[0022] As a further solution of the present invention: in step S4, if there is an overlap between the monitoring ranges of different monitoring points, the comprehensive carbon emissions of the overlapping parts are calculated. Among them, M represents the number of monitoring points corresponding to the overlapping part, and CZsame_m represents the comprehensive carbon emissions of the mth monitoring point corresponding to the overlapping part.

[0023] As a further solution of the present invention: in the step S4, if there is an overlap, the target carbon comprehensive value MCZ of the target area is calculated by the following steps, specifically:

[0024]

[0025] Among them, Sj_same represents the area of ​​the overlapping part within the monitoring range of the jth monitoring point, Ssame represents the total area of ​​the overlapping part, and CZave represents the mean of the comprehensive carbon emissions of the overlapping part.

[0026] As a further solution of the present invention: in the step S5, if the number of times A that the nth type of carbon emissions is marked as excessive emissions is greater than the preset judgment threshold Amax, the nth type of carbon emissions will be regarded as a key regulatory target. When the key regulatory target is marked as excessive emissions again, the staff of the monitoring center will be immediately reminded to control the key regulatory target.

[0027] A carbon emission data analysis system for atmospheric environment monitoring, comprising:

[0028] Historical data synthesis module: periodically obtain the carbon content C of the atmospheric environment in the target area and calculate the average carbon content of the atmospheric environment in the target area Among them, I represents the total number of times the carbon content of the atmospheric environment in the target area is obtained, Ci represents the carbon content of the atmospheric environment in the i-th acquisition period, and the fluctuation value is calculated. Set the warning interval [Cave-bs, Cave+bs];

[0029] Monitoring frequency setting module: calculate the monitoring coefficient k = Csta / Cave, where Csta represents the preset standard carbon content, set the monitoring nodes, and the time interval between adjacent monitoring nodes is k*Ts, where Ts represents the preset monitoring period;

[0030] Acquire emission data between two adjacent monitoring nodes, wherein the emission data includes the type N of carbon emissions and the emission amount PF of carbon emissions;

[0031] Carbon emission monitoring module: The comprehensive carbon emission CZ within the monitoring range corresponding to the monitoring point is calculated by a formula, and the specific formula is:

[0032]

[0033] Among them, γn represents the number of carbon atoms in a single molecule of the nth carbon emission, and PFn represents the emission of the nth carbon emission;

[0034] Target carbon comprehensive module: obtain the number of monitoring points J in the target area and the total area S of the target area, and calculate the target carbon comprehensive value MCZ of the target area by the formula, the specific formula is:

[0035]

[0036] Among them, sj represents the area of ​​the monitoring range corresponding to the jth monitoring point in the target area, and CZj represents the comprehensive carbon emissions in the monitoring range corresponding to the jth monitoring point;

[0037] Processing module: If the target carbon comprehensive value MCZ is within the warning interval [Cave-s, Cave+s], it means that the carbon content in the current target area is at a normal level. If MCZ>Cave+s, it means that the carbon content in the current target area is at a high level. At this time, the average carbon emissions in the target area are calculated. Among them, PFj represents the emission of carbon emissions within the monitoring range of the jth monitoring point;

[0038] When the average value of carbon emissions PFave>PFsta, the carbon emissions will be marked as excessive emissions, where PFsta represents the preset standard value of carbon emissions. If the same excessive emissions exist at three consecutive monitoring points, the staff of the monitoring center will be reminded to control the excessive emissions.

[0039] Beneficial effects of the present invention: In the present invention, the historical carbon content of the atmospheric environment in the target area within a period of time is obtained, and the average carbon content of the atmospheric environment in the target area is calculated. By calculating the average carbon content of the atmospheric environment, the carbon emission level of the target area during this period of time can be estimated. By pre-setting the collection period T and the number of collection periods I, a time range is determined, and only the carbon content of the atmospheric environment within the time range is obtained, so as to avoid inaccurate results due to a large time span.

[0040] If the target area selected by the present invention is an ecological scenic area, when the time span is too large, the temperature change value is large, because temperature is an important factor affecting the photosynthesis and respiration of plants and animals. Within a certain range, as the temperature rises, the photosynthesis rate of plants and animals will accelerate, absorbing more carbon dioxide, which helps to reduce the carbon content in the atmosphere. However, when the temperature is too high, the respiration of plants will also increase, releasing more carbon dioxide into the atmosphere, which to a certain extent offsets the emission reduction effect of photosynthesis.

[0041] In addition, microorganisms in the soil release carbon dioxide in the process of decomposing organic matter. Temperature has a significant effect on the activity of soil microorganisms. Generally speaking, as the temperature rises, the activity of soil microorganisms will increase, accelerating the decomposition of organic matter, thereby increasing the emission of carbon dioxide. However, too high a temperature may also cause the activity of microorganisms to decrease or die, thereby reducing the emission of carbon dioxide. Therefore, in order to reduce the impact of temperature changes on the accuracy of the monitoring and analysis results of the present invention, the time span of the historical carbon content of the atmospheric environment in the target area obtained by the present invention is fixed in an appropriate range, so as to reduce the impact of temperature on the present invention.

[0042] The fluctuation value bs is calculated and used to describe the discrete degree of carbon content in the atmospheric environment, so as to better analyze the characteristics and potential risks of carbon content in the atmospheric environment, and set the early warning interval [Cave-bs, Cave+bs]. When the carbon content in the atmospheric environment is within the early warning interval, it means that the carbon content is at a normal level. When the carbon content in the atmospheric environment is outside the early warning interval, it means that the carbon content is at an abnormal level. At this time, the next step needs to be executed to set the early warning interval [Cave-bs, Cave+bs] to make the standard for judging the carbon content clearer.

[0043] The monitoring coefficient k is calculated and used to adjust the intervals between monitoring nodes. The larger the average carbon content of the atmospheric environment in the target area, the smaller the intervals between adjacent monitoring nodes and the more frequent the monitoring. Therefore, the changes in the carbon content of the atmospheric environment can be better monitored, thereby detecting anomalies faster and handling them in a timely manner.

[0044] In addition, both mobile emission sources and fixed emission sources need to be considered. Among them, mobile emission sources include cars, ships, and people in ecological scenic areas, and fixed emission sources include factories and boiler rooms in ecological scenic areas. Due to the existence of multiple carbon emission sources, there are multiple carbon emissions. Moreover, under the same emission volume, different carbon emissions have different effects on the change of carbon content in the atmospheric environment.

[0045] The comprehensive carbon emissions CZ within the monitoring point are calculated based on the specific carbon emissions. Because different carbon emissions have different impacts on the atmospheric environment, in order to more specifically calculate the impact of different carbon emissions on the change in carbon content in the atmospheric environment, a formula is used to calculate the comprehensive carbon emissions CZ of the monitoring point. It can be seen from the formula that the more carbon atoms a single molecule has, the higher the weight of the emission.

[0046] Due to differences in terrain and equipment, the monitoring ranges of different monitoring points vary. Therefore, when calculating the target comprehensive carbon value MCZ of the target area, it is necessary to use the ratio between the monitoring range of the monitoring point and the area of ​​the target area as a weight to bring the monitoring range into the calculation. The larger the monitoring range, the higher the weight ratio, so that the calculated target comprehensive carbon value MCZ of the target area is more accurate. In addition, the comprehensive carbon emissions CZ of the blank area is replaced by the average value, thereby reducing the calculation process and simplifying the operation process.

[0047] If the target carbon comprehensive value MCZ is within the warning interval [Cave-s, Cave+s], it means that the carbon content in the current target area is at a normal level. If MCZ>Cave+s, it means that the carbon content in the current target area is at a high level. At this time, it is necessary to calculate the average value PFn_ave of the nth carbon emission in the target area, screen out the carbon emissions with PFn_ave>PFn_sta, and mark them as excessive emissions, where PFn_sta represents the preset standard value of the nth carbon emission. If the nth carbon emission is marked as excessive emissions for three consecutive monitoring points, the staff of the monitoring center is reminded to control the excessive emissions and display the monitoring points with the nth carbon emission PFn>PFn_sta to the staff. This method can be used for faster screening, so that abnormal monitoring points can be quickly found to facilitate staff to find abnormal problems. This improves the response speed to abnormal conditions, which is conducive to saving manpower, material resources, and time costs.

[0048] To summarize, the present invention analyzes the historical carbon emission data of the target area, formulates the atmospheric carbon content standard that conforms to the current situation, and performs weighted calculation according to the type of carbon emissions, thereby realizing accurate calculation of carbon emissions. Calculations are performed and monitoring nodes are set based on the historical carbon emission data of the target area, thereby achieving the purpose of dynamically adjusting carbon emission monitoring and making the analysis of carbon emission data more accurate. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] The present invention will be further described below in conjunction with the accompanying drawings.

[0050] Figure 1 It is a flow chart of a carbon emission data analysis method for atmospheric environment monitoring according to the present invention. DETAILED DESCRIPTION

[0051] 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.

[0052] See also Figure 1 As shown, the present invention is a carbon emission data analysis method for atmospheric environment monitoring, comprising the following steps:

[0053] S1: Periodically obtain the carbon content C of the atmospheric environment in the target area and calculate the average carbon content of the atmospheric environment in the target area Among them, I represents the total number of times the carbon content of the atmospheric environment in the target area is obtained, Ci represents the carbon content of the atmospheric environment in the i-th acquisition period, and the fluctuation value is calculated. Set the warning interval [Cave-bs, Cave+bs];

[0054] S2: Calculate the monitoring coefficient k=Csta / Cave, where Csta represents the preset standard carbon content, set monitoring nodes, and the time interval between adjacent monitoring nodes is k*Ts, where Ts represents the preset monitoring period;

[0055] Acquire emission data between two adjacent monitoring nodes, wherein the emission data includes the type N of carbon emissions and the emission amount PF of carbon emissions;

[0056] S3: Calculate the comprehensive carbon emissions CZ within the monitoring range corresponding to the monitoring point by using a formula, the formula is specifically:

[0057]

[0058] Among them, γn represents the number of carbon atoms in a single molecule of the nth carbon emission, and PFn represents the emission of the nth carbon emission;

[0059] S4: Obtain the number of monitoring points J and the total area S of the target area, and calculate the target carbon comprehensive value MCZ of the target area by the formula, wherein the formula is:

[0060]

[0061] Among them, sj represents the area of ​​the monitoring range corresponding to the jth monitoring point in the target area, and CZj represents the comprehensive carbon emissions within the monitoring range corresponding to the jth monitoring point;

[0062] S5: If the target carbon comprehensive value MCZ is within the warning interval [Cave-s, Cave+s], it means that the carbon content in the current target area is at a normal level. If MCZ>Cave+s, it means that the carbon content in the current target area is at a high level. At this time, the average carbon emissions in the target area are calculated. Among them, PFj represents the emission of carbon emissions within the monitoring range of the jth monitoring point;

[0063] When the average value of carbon emissions PFave>PFsta, the carbon emissions will be marked as excessive emissions, where PFsta represents the preset standard value of carbon emissions. If the same excessive emissions exist at three consecutive monitoring points, the staff of the monitoring center will be reminded to control the excessive emissions.

[0064] Obtain the historical carbon content of the atmospheric environment in the target area over a period of time, and calculate the average carbon content of the atmospheric environment in the target area. By calculating the average carbon content of the atmospheric environment, the carbon emission level of the target area during this period can be estimated. Through the preset collection period T and the number of collection periods I, a time range is determined, and only the carbon content of the atmospheric environment within the time range is obtained to avoid inaccurate results due to a large time span.

[0065] If the target area selected by the present invention is an ecological scenic area, when the time span is too large, the temperature change value is large, because temperature is an important factor affecting the photosynthesis and respiration of plants and animals. Within a certain range, as the temperature rises, the photosynthesis rate of plants and animals will accelerate, absorbing more carbon dioxide, which helps to reduce the carbon content in the atmosphere. However, when the temperature is too high, the respiration of plants will also increase, releasing more carbon dioxide into the atmosphere, which to a certain extent offsets the emission reduction effect of photosynthesis.

[0066] In addition, microorganisms in the soil release carbon dioxide in the process of decomposing organic matter. Temperature has a significant effect on the activity of soil microorganisms. Generally speaking, as the temperature rises, the activity of soil microorganisms will increase, accelerating the decomposition of organic matter, thereby increasing the emission of carbon dioxide. However, too high a temperature may also cause the activity of microorganisms to decrease or die, thereby reducing the emission of carbon dioxide. Therefore, in order to reduce the impact of temperature changes on the accuracy of the monitoring and analysis results of the present invention, the time span of the historical carbon content of the atmospheric environment in the target area obtained by the present invention is fixed in an appropriate range, so as to reduce the impact of temperature on the present invention.

[0067] The fluctuation value bs is calculated and used to describe the discrete degree of carbon content in the atmospheric environment, so as to better analyze the characteristics and potential risks of carbon content in the atmospheric environment, and set the early warning interval [Cave-bs, Cave+bs]. When the carbon content in the atmospheric environment is within the early warning interval, it means that the carbon content is at a normal level. When the carbon content in the atmospheric environment is outside the early warning interval, it means that the carbon content is at an abnormal level. At this time, the next step needs to be executed to set the early warning interval [Cave-bs, Cave+bs] to make the standard for judging the carbon content clearer.

[0068] The monitoring coefficient k is calculated and used to adjust the intervals between monitoring nodes. The larger the average carbon content of the atmospheric environment in the target area, the smaller the intervals between adjacent monitoring nodes and the more frequent the monitoring. Therefore, the changes in the carbon content of the atmospheric environment can be better monitored, thereby detecting anomalies faster and handling them in a timely manner.

[0069] In addition, both mobile emission sources and fixed emission sources need to be considered. Among them, mobile emission sources include cars, ships, and people in ecological scenic areas, and fixed emission sources include factories and boiler rooms in ecological scenic areas. Due to the existence of multiple carbon emission sources, there are multiple carbon emissions. Moreover, under the same emission volume, different carbon emissions have different effects on the change of carbon content in the atmospheric environment.

[0070] The comprehensive carbon emissions CZ at the monitoring point are calculated based on the specific carbon emissions. Because different carbon emissions have different impacts on the atmospheric environment, in order to more specifically calculate the impact of different carbon emissions on the change in carbon content in the atmospheric environment, a formula is used to calculate the comprehensive carbon emissions CZ at the monitoring point. It can be seen from the formula that the more carbon atoms a single molecule has, the higher the weight of the emission.

[0071] Due to differences in terrain and equipment, the monitoring ranges of different monitoring points vary. Therefore, when calculating the target comprehensive carbon value MCZ of the target area, it is necessary to use the ratio between the monitoring range of the monitoring point and the area of ​​the target area as a weight to bring the monitoring range into the calculation. The larger the monitoring range, the higher the weight ratio, so that the calculated target comprehensive carbon value MCZ of the target area is more accurate. In addition, the comprehensive carbon emissions CZ of the blank area is replaced by the average value, thereby reducing the calculation process and simplifying the operation process.

[0072] If the target carbon comprehensive value MCZ is within the warning interval [Cave-s, Cave+s], it means that the carbon content in the current target area is at a normal level. If MCZ>Cave+s, it means that the carbon content in the current target area is at a high level. At this time, it is necessary to calculate the average value PFn_ave of the nth carbon emission in the target area, screen out the carbon emissions with PFn_ave>PFn_sta, and mark them as excessive emissions, where PFn_sta represents the preset standard value of the nth carbon emission. If the nth carbon emission is marked as excessive emissions for three consecutive monitoring points, the staff of the monitoring center is reminded to control the excessive emissions and display the monitoring points with the nth carbon emission PFn>PFn_sta to the staff. This method can be used for faster screening, so that abnormal monitoring points can be quickly found to facilitate staff to find abnormal problems. This improves the response speed to abnormal conditions, which is conducive to saving manpower, material resources, and time costs.

[0073] In another preferred embodiment of the present invention, if the fluctuation value bs=0, the warning interval [Cmin, Cmax] is set, wherein Cmin represents the minimum value of the atmospheric carbon content in I collection cycles, and Cmax represents the maximum value of the atmospheric carbon content in I collection cycles.

[0074] It is worth noting that there is an extreme situation in the actual scenario. When the fluctuation value bs=0, the warning interval does not exist. If the warning interval does not exist, errors will occur in subsequent steps. Therefore, in order to enhance the resistance of the present invention to extreme situations, when the fluctuation value bs=0, it is changed to the warning interval [Cmin, Cmax]. This method enhances the resistance of the present invention to abnormal situations and enhances fault tolerance.

[0075] In another preferred embodiment of the present invention, if the interval k*Ts between adjacent monitoring nodes is smaller than Tmin, the interval between adjacent monitoring nodes is set to Tmin, wherein Tmin represents a preset minimum monitoring period.

[0076] It is understandable that atmospheric carbon content monitoring requires highly accurate data. If the monitoring period is too short, data collection may be insufficient, thus affecting the accuracy and reliability of the data. In addition, short-term monitoring may not be able to capture the changing trend of atmospheric carbon content, thus reducing the accuracy and reliability of atmospheric carbon content data.

[0077] In another preferred embodiment of the present invention, if the comprehensive carbon emissions CZ of the monitoring point is greater than CZmax, the monitoring point will be marked as a special monitoring point, and the staff will be reminded to screen the carbon emission sources within the monitoring range of the special monitoring point, where CZmax represents the preset maximum comprehensive carbon emissions.

[0078] It should be noted that CZmax represents the preset maximum comprehensive carbon emissions, which is a relatively large value. When the comprehensive carbon emissions CZ of the monitoring point is greater than CZmax, it means that the carbon content of the monitoring point has seriously exceeded the standard and staff need to be arranged immediately for processing.

[0079] When the carbon content at a monitoring point has seriously exceeded the standard, there is a high possibility that a fire or illegal emissions have occurred in the ecological scenic area. In order to prevent the adverse effects from further expanding, staff must be reminded to deal with it immediately.

[0080] When the comprehensive carbon emissions CZ of the monitoring point is greater than CZmax, if the staff is not notified until three monitoring nodes have passed, the optimal processing time will be delayed, causing greater damage to the ecological scenic area.

[0081] In another preferred embodiment of the present invention, if there is an overlap between the monitoring ranges of different monitoring points, the comprehensive carbon emissions of the overlapping parts are calculated. Among them, M represents the number of monitoring points corresponding to the overlapping part, and CZsame_m represents the comprehensive carbon emissions of the mth monitoring point corresponding to the overlapping part.

[0082] It should be noted that in actual situations, due to the influence of various factors such as terrain and climate, the actual monitoring range is different, and the monitoring ranges of different monitoring points may overlap. Because the monitoring equipment arranged at different monitoring points is different, the comprehensive carbon emissions CZ of the monitoring areas obtained by different monitoring points are different. In order to more accurately calculate the comprehensive carbon emissions of the overlapping parts, the comprehensive carbon emissions of the overlapping parts at the corresponding monitoring points are obtained, and the average value is calculated. The average value is used as the comprehensive carbon emissions of the overlapping parts. This method can make the comprehensive carbon emissions of the overlapping parts more accurate and reduce the probability of data errors due to abnormalities in a certain monitoring point.

[0083] In another preferred embodiment of the present invention, if there is an overlap, the target carbon comprehensive value MCZ of the target area is calculated by the following steps, specifically:

[0084]

[0085] Among them, Sj_same represents the area of ​​the overlapping part within the monitoring range of the jth monitoring point, Ssame represents the total area of ​​the overlapping part, and CZave represents the mean of the comprehensive carbon emissions of the overlapping part.

[0086] It is understandable that when there are overlapping parts, if the calculation is performed according to the original formula, the calculation results may be wrong. Therefore, in this formula, the comprehensive carbon emissions of the overlapping parts are calculated independently, so that the calculation results are more accurate and the fault tolerance of the entire system is enhanced.

[0087] In another preferred embodiment of the present invention, if the number of times A that the nth type of carbon emissions is marked as exceeding the emission standard is greater than a preset judgment threshold Amax, the nth type of carbon emissions will be regarded as a key regulatory target. When the key regulatory target is marked as exceeding the emission standard again, the staff of the monitoring center will be immediately reminded to control the key regulatory target.

[0088] It is worth noting that if the number of times A that the nth type of carbon emissions is marked as exceeding the emission standard is greater than the preset judgment threshold Amax, it means that the emission of this carbon emission often exceeds the standard. Therefore, in order to timely discover and reduce the impact of the nth type of carbon emissions on the environment, once the key regulatory target is marked as exceeding the emission standard again, the staff of the monitoring center will be immediately reminded to control the key regulatory target, thereby reducing the harm to the atmospheric environment in the ecological scenic area.

[0089] A carbon emission data analysis method and system for atmospheric environment monitoring, comprising:

[0090] Historical data synthesis module: periodically obtain the carbon content C of the atmospheric environment in the target area and calculate the average carbon content of the atmospheric environment in the target area Among them, I represents the total number of times the carbon content of the atmospheric environment in the target area is obtained, Ci represents the carbon content of the atmospheric environment in the i-th acquisition period, and the fluctuation value is calculated. Set the warning interval [Cave-bs, Cave+bs];

[0091] Monitoring frequency setting module: calculate the monitoring coefficient k = Csta / Cave, where Csta represents the preset standard carbon content, set the monitoring nodes, and the time interval between adjacent monitoring nodes is k*Ts, where Ts represents the preset monitoring period;

[0092] Acquire emission data between two adjacent monitoring nodes, wherein the emission data includes the type N of carbon emissions and the emission amount PF of carbon emissions;

[0093] Carbon emission monitoring module: The comprehensive carbon emission CZ within the monitoring range corresponding to the monitoring point is calculated by a formula, and the specific formula is:

[0094]

[0095] Among them, γn represents the number of carbon atoms in a single molecule of the nth carbon emission, and PFn represents the emission of the nth carbon emission;

[0096] Target carbon comprehensive module: obtain the number of monitoring points J in the target area and the total area S of the target area, and calculate the target carbon comprehensive value MCZ of the target area by the formula, the specific formula is:

[0097]

[0098] Among them, sj represents the area of ​​the monitoring range corresponding to the jth monitoring point in the target area, and CZj represents the comprehensive carbon emissions in the monitoring range corresponding to the jth monitoring point;

[0099] Processing module: If the target carbon comprehensive value MCZ is within the warning interval [Cave-s, Cave+s], it means that the carbon content in the current target area is at a normal level. If MCZ>Cave+s, it means that the carbon content in the current target area is at a high level. At this time, the average carbon emissions in the target area are calculated. Among them, PFj represents the emission of carbon emissions within the monitoring range of the jth monitoring point;

[0100] When the average value of carbon emissions PFave>PFsta, the carbon emissions will be marked as excessive emissions, where PFsta represents the preset standard value of carbon emissions. If the same excessive emissions exist at three consecutive monitoring points, the staff of the monitoring center will be reminded to control the excessive emissions.

[0101] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. A carbon emission data analysis method for atmospheric environment monitoring, characterized in that: The following steps are involved: S1: Periodically obtain the carbon content C of the atmospheric environment in the target area and calculate the average carbon content of the atmospheric environment in the target area Where I represents the total number of times the carbon content of the atmospheric environment in the target area is obtained, and C i Represents the carbon content of the atmospheric environment during the i-th collection period, and calculates the fluctuation value Set the warning interval [C ave -bs, C ave +bs]; S2: Calculate the monitoring coefficient k = C sta / C ave , where C sta Represents the preset standard carbon content, sets the monitoring nodes, and the time interval between adjacent monitoring nodes is k*T s , where T s Represents the preset monitoring period; Acquire emission data between two adjacent monitoring nodes, wherein the emission data includes the type N of carbon emissions and the emission amount PF of carbon emissions; S3: Calculate the comprehensive carbon emissions CZ within the monitoring range corresponding to the monitoring point by using a formula, the specific formula is: Among them, γ n Represents the number of carbon atoms in a single molecule of the nth carbon emission, PF n represents the emission of the nth carbon emission; S4: Obtain the number of monitoring points J and the total area S of the target area, and calculate the target carbon comprehensive value MCZ of the target area by the formula, wherein the formula is: Among them, s j represents the area of ​​the monitoring range corresponding to the jth monitoring point in the target area, CZ j Represents the comprehensive carbon emissions within the monitoring range corresponding to the jth monitoring point; S5: If the target carbon comprehensive value MCZ is in the warning interval [C ave -s,C ave +s], it means that the carbon content in the current target area is at a normal level. If MCZ>C ave +s, means that the carbon content in the current target area exceeds the normal level, and the average carbon emissions in the target area are calculated at this time Among them, PF j represents the amount of carbon emissions within the monitoring range of the jth monitoring point; When the average carbon emission PF ave >PF sta When the carbon emissions are marked as excessive emissions, PF sta It represents the preset standard value of carbon emissions. If the same excessive emissions are found at three consecutive monitoring points, the staff of the monitoring center will be reminded to control the excessive emissions.

2. A carbon emission data analysis method for atmospheric environment monitoring according to claim 1, characterized in that: In step S1, if the fluctuation value bs=0, the warning interval [C min , C max ], where C min represents the minimum value of atmospheric carbon content in a collection period, C max Represents the maximum value of atmospheric carbon content in one collection period.

3. The carbon emission data analysis method for atmospheric environment monitoring according to claim 1 is characterized in that: In step S2, if the interval between adjacent monitoring nodes is k*T s Less than T min , at this time, let the interval between adjacent monitoring nodes be T min , where T min Represents the preset minimum monitoring period.

4. The carbon emission data analysis method for atmospheric environment monitoring according to claim 1 is characterized in that: In step S3, if the comprehensive carbon emissions of the monitoring point CZ>CZ max , mark the monitoring point as a special monitoring point, and remind the staff to screen the carbon emission sources within the monitoring range of the special monitoring point, among which CZ max Represents the preset maximum comprehensive carbon emissions.

5. The carbon emission data analysis method for atmospheric environment monitoring according to claim 1, characterized in that: In step S4, if there is an overlap between the monitoring ranges of different monitoring points, the comprehensive carbon emissions of the overlapping parts are calculated. Among them, M represents the number of monitoring points corresponding to the overlapping part, CZ same_m Represents the comprehensive carbon emissions of the mth monitoring point corresponding to the overlapping part.

6. The carbon emission data analysis method for atmospheric environment monitoring according to claim 1 is characterized in that: In step S4, if there is an overlap, the target carbon comprehensive value MCZ of the target area is calculated by the following steps, specifically: Among them, S j_same represents the area of ​​the overlapping part within the monitoring range of the jth monitoring point, S same Represents the total area of ​​the overlap, CZ ave Represents the average of the combined carbon emissions of the overlapping parts.

7. The carbon emission data analysis method for atmospheric environment monitoring according to claim 1 is characterized in that: In step S5, if the number of times A that the nth type of carbon emission is marked as excessive emission is greater than the preset judgment threshold A max At this time, the nth type of carbon emissions will be regarded as a key regulatory target. When the key regulatory target is marked as exceeding the emission standard again, the staff of the monitoring center will be immediately reminded to control the key regulatory target.

8. A carbon emission data analysis system for atmospheric environment monitoring, characterized in that: include: Historical data synthesis module: periodically obtain the carbon content C of the atmospheric environment in the target area and calculate the average carbon content of the atmospheric environment in the target area Where I represents the total number of times the carbon content of the atmospheric environment in the target area is obtained, and C i Represents the carbon content of the atmospheric environment during the i-th collection period, and calculates the fluctuation value Set the warning interval [C ave -bs, C ave +bs]; Monitoring frequency setting module: calculate monitoring coefficient k = C sta / C ave , where C sta Represents the preset standard carbon content, sets the monitoring nodes, and the time interval between adjacent monitoring nodes is k*T s , where T s Represents the preset monitoring period; Acquire emission data between two adjacent monitoring nodes, wherein the emission data includes the type N of carbon emissions and the emission amount PF of carbon emissions; Carbon emission monitoring module: The comprehensive carbon emission CZ within the monitoring range corresponding to the monitoring point is calculated by a formula, and the specific formula is: Among them, γ n Represents the number of carbon atoms in a single molecule of the nth carbon emission, PF n represents the emission of the nth carbon emission; Target carbon comprehensive module: obtain the number of monitoring points J in the target area and the total area S of the target area, and calculate the target carbon comprehensive value MCZ of the target area by the formula, the specific formula is: Among them, s j represents the area of ​​the monitoring range corresponding to the jth monitoring point in the target area, CZ j Represents the comprehensive carbon emissions within the monitoring range corresponding to the jth monitoring point; Processing module: If the target carbon comprehensive value MCZ is in the warning range [C ave -s,C ave +s], it means that the carbon content in the current target area is at a normal level. If MCZ>C ave +s, means that the carbon content in the current target area exceeds the normal level, and the average carbon emissions in the target area are calculated at this time Among them, PF j represents the amount of carbon emissions within the monitoring range of the jth monitoring point; When the average carbon emission PF ave >PF sta When the carbon emissions are marked as excessive emissions, PF sta It represents the preset standard value of carbon emissions. If the same excessive emissions are found at three consecutive monitoring points, the staff of the monitoring center will be reminded to control the excessive emissions.

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