Carbon pollution prediction system and method based on emission reduction and carbon sequestration, and storage medium

Abstract

The invention relates to the technical field of carbon pollution prediction, in particular to a carbon pollution prediction system and method based on emission reduction and carbon sequestration and a storage medium, and the system comprises a carbon pollution prediction platform, a carbon information base, a regional environment analysis unit, a sub-region evaluation unit, a regional pollution prediction unit, a prediction verification unit and a carbon pollution management unit. According to the method, analysis is performed preliminarily from the perspective of environment information of the target area, whether the emission reduction and carbon sequestration effect in the current time period reaches an expected effect or not is known, subarea carbon emission supervision division analysis is performed in an information feedback mode, and the emission reduction and carbon sequestration effect conditions of all subareas in the target area are further known; meanwhile, regional carbon pollution risk prediction analysis is carried out to reasonably plan a carbon pollution management decision of the target region, and prediction model construction verification feedback analysis is carried out on historical environment information in a progressive mode to judge whether a carbon pollution prediction result of the target region is standard or not, so that the carbon pollution prediction accuracy of the target region is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of carbon pollution prediction, and in particular to a carbon pollution prediction system, method and storage medium based on emission reduction and carbon fixation. Background Art

[0002] Pollution refers to the process of releasing large amounts of carbon compounds such as carbon dioxide into the atmosphere due to human activities, leading to global warming and climate change; carbon emissions not only exacerbate global warming and the frequency of extreme weather events, but also directly affect air quality and accelerate air pollution problems in the process of urbanization; predicting the dynamic changes of carbon pollution is crucial for taking effective emission reduction and carbon sequestration measures, and can provide scientific basis and data support for the government and relevant departments to formulate emission reduction policies and manage carbon emissions;

[0003] However, in the existing technology, it is impossible to comprehensively analyze the regional carbon pollution risk situation from both the overall and individual perspectives, which in turn affects the accuracy of the subsequent regional carbon pollution risk prediction results, thereby reducing the efficiency of regional carbon pollution management, and failing to achieve the expected emission reduction and carbon fixation effects. In addition, it is impossible to verify the regional carbon pollution risk prediction results, which leads to large deviations in the prediction results, which is not conducive to the rational management of regional carbon pollution.

[0004] In view of the above technical defects, a solution is now proposed. Summary of the invention

[0005] The purpose of the present invention is to provide a carbon pollution prediction system, method and storage medium based on emission reduction and carbon fixation to solve the technical defects mentioned above. The present invention initially analyzes from the perspective of environmental information of the target area to understand whether the emission reduction and carbon fixation effects in the current period have achieved the expected results, and conducts sub-regional carbon emission supervision division analysis through information feedback to further understand the emission reduction and carbon fixation effects of each sub-region in the target area, so as to carry out targeted emission reduction and carbon fixation optimization adjustments for each region, and at the same time conducts regional carbon pollution risk prediction analysis to determine whether there is a carbon pollution risk in the subsequent target area, so as to reasonably plan the carbon pollution management decisions of the target area, and constructs a prediction model for historical environmental information in a progressive manner to verify feedback analysis to determine whether the carbon pollution prediction results of the target area are standard, so as to improve the accuracy of carbon pollution prediction in the target area.

[0006] The object of the present invention can be achieved by the following technical solutions: A carbon pollution prediction system based on emission reduction and carbon fixation includes a carbon pollution prediction platform, a carbon information library, a regional environmental analysis unit, a sub-regional assessment unit, a regional pollution prediction unit, a prediction verification unit, and a carbon pollution management unit;

[0007] The carbon pollution prediction platform retrieves the environmental information of the target area from the carbon information library and sends the environmental information to the regional environmental analysis unit. After receiving the environmental information, the regional environmental analysis unit immediately performs regional emission reduction and carbon fixation expectation assessment analysis on the environmental information to obtain a carbon emission invalid signal or a carbon emission valid signal;

[0008] The sub-regional assessment unit is used to respond to the carbon emission invalid signal or the carbon emission valid signal and perform sub-regional carbon emission supervision division analysis on the carbon emission assessment coefficient, and interactively analyze the obtained high pollution area, low pollution area, effective area and invalid area to obtain high pollution reduction area, high pollution risk area, low pollution reduction area and low pollution risk area;

[0009] The regional pollution prediction unit is used to respond to the carbon emission invalid signal or the carbon emission valid signal and perform regional carbon pollution risk prediction analysis to obtain a high pollution signal or a low pollution signal;

[0010] The prediction and verification unit is used to respond to high pollution signals or low pollution signals, collect historical environmental information of the target area, and perform prediction model construction, verification and feedback analysis on the historical environmental information to obtain control signals or high pollution signals or low pollution signals.

[0011] Preferably, the regional emission reduction and carbon sequestration expected assessment analysis process of the regional environmental analysis unit is as follows:

[0012] Set a monitoring period and set it as a time threshold, divide the time threshold into i sub-time periods, where i is a natural number greater than zero, obtain the environmental information of the target area in each sub-time period, the environmental information includes carbon emissions and carbon absorption, and then obtain the value obtained by subtracting carbon absorption from carbon emissions, and set the ratio between the value obtained by subtracting carbon absorption from carbon emissions and carbon emissions as the carbon emission assessment coefficient;

[0013] The carbon emission assessment coefficient is compared and analyzed with the preset carbon emission assessment coefficient threshold value entered and stored internally, and the ratio between the number of sub-time periods corresponding to the carbon emission assessment coefficient being greater than or equal to the preset carbon emission assessment coefficient threshold value and the total number of sub-time periods is set as the carbon pollution probability value. The carbon pollution probability value is discriminated and processed to generate a carbon emission invalid signal or a carbon emission valid signal.

[0014] Preferably, the sub-region carbon emission supervision division analysis process of the sub-region assessment unit is as follows:

[0015] The carbon emission assessment coefficient of each sub-region block within the time threshold is obtained, and the carbon emission assessment coefficient is divided and discriminated for analysis. If the carbon emission assessment coefficient is greater than or equal to the preset carbon emission assessment coefficient threshold, the corresponding area is judged to be a high-pollution area. If the carbon emission assessment coefficient is less than the preset carbon emission assessment coefficient threshold, the corresponding area is judged to be a low-pollution area.

[0016] Preferably, the target area is divided into g sub-region blocks, where g is a natural number greater than zero, and the sub-region emission coefficient corresponding to each sub-region block within the historical m time thresholds is obtained. The sub-region emission coefficient represents the value obtained by subtracting the sub-region carbon absorption from the regional carbon emission, and m is a natural number greater than zero. A rectangular coordinate system is established with the time threshold as the X-axis and the sub-region emission coefficient as the Y-axis. The sub-region emission coefficient curve is drawn by plotting points, and then the change trend value of the sub-region emission coefficient curve is obtained, and it is set as the carbon emission trend value, and the carbon emission trend value is compared and analyzed with the preset carbon emission trend value threshold value recorded and stored internally to obtain the valid area and the invalid area;

[0017] Interactive analysis is performed on high-pollution areas, low-pollution areas, effective areas, and invalid areas: high-pollution emission reduction areas, high-pollution risk areas, low-pollution emission reduction areas, and low-pollution risk areas are obtained.

[0018] Preferably, the regional carbon pollution risk prediction and analysis process of the regional pollution prediction unit is as follows:

[0019] The ratio between the number of invalid areas and the number of valid areas within the time threshold is obtained, and the ratio between the number of invalid areas and the number of valid areas is set as the regional pollution index. The regional pollution index is compared and analyzed with the preset E1 and preset E2 stored in the internal input, and E1 < E2, and the first-level risk, the second-level risk and the third-level risk are obtained. The first-level risk, the second-level risk and the third-level risk are set as the carbon pollution risk level KS, KS = 1, 2, 3;

[0020] The percentage of the number of carbon pollution risk levels KS=2 or KS=3 in the target area within the historical n time thresholds and the current time threshold is obtained, and it is set as the carbon pollution prediction index, where n is a natural number greater than zero. The carbon pollution prediction index is compared and analyzed with the preset carbon pollution prediction index threshold entered internally to generate a high pollution signal or a low pollution signal.

[0021] Preferably, the prediction model building verification feedback analysis process of the prediction verification unit is as follows:

[0022] Obtain the historical environmental information of the target area within the historical n time thresholds and the environmental information of the target area within the current time threshold, preprocess the historical environmental information and build a carbon emission prediction model and a carbon absorption prediction model. The preprocessing includes data cleaning and filling in missing values.

[0023] Based on the carbon emission prediction model and the carbon absorption prediction model, the predicted carbon emission value and the predicted carbon absorption value of the target area within the current time threshold are obtained, and then the difference between the predicted carbon emission value and the carbon emission within the current time threshold and the difference between the predicted carbon absorption value and the carbon absorption within the current time threshold are obtained, and they are set as the carbon emission error value and the carbon absorption error value respectively, and the carbon emission error value and the carbon absorption error value are discriminated and processed to generate a prediction verification signal or a control signal.

[0024] Preferably, when a prediction verification signal is generated, the predicted carbon emission value and the predicted carbon absorption value are obtained, the ratio between the predicted carbon emission value and the predicted carbon absorption value is set as the predicted carbon pollution risk value, and the predicted carbon pollution risk value is compared and analyzed to generate a high pollution signal or a low pollution signal.

[0025] The beneficial effects of the present invention are as follows:

[0026] (1) The present invention initially analyzes the environmental information of the target area to understand whether the emission reduction and carbon fixation effect in the current period has reached the expected effect, so as to reasonably adjust the carbon pollution management plan, thereby helping to improve the emission reduction and carbon fixation effect in the target area. By means of information feedback, the sub-regional carbon emission supervision division analysis is carried out to further understand the emission reduction and carbon fixation effect of each sub-region in the target area, so as to carry out targeted emission reduction and carbon fixation optimization adjustments for each region;

[0027] (2) The present invention conducts regional carbon pollution risk prediction and analysis to determine whether there is a carbon pollution risk in the subsequent target area, so as to reasonably plan the carbon pollution management decision of the target area, thereby helping to reduce the continuous carbon pollution risk of the target area. In a progressive manner, the prediction model of historical environmental information is constructed and verified by feedback analysis to determine whether the carbon pollution prediction results of the target area are standard, so as to provide timely feedback management and then check the existing prediction interference factors to improve the accuracy of carbon pollution prediction in the target area. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] The present invention will be further described below in conjunction with the accompanying drawings;

[0029] Figure 1 It is a flowchart of the system of the present invention;

[0030] Figure 2 It is a reference analysis diagram of the method of the present invention. DETAILED DESCRIPTION

[0031] 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.

[0032] Embodiment 1:

[0033] See also Figure 1 to Figure 2 As shown, the present invention is a carbon pollution prediction system based on emission reduction and carbon fixation, including a carbon pollution prediction platform, a carbon information library, a regional environmental analysis unit, a sub-regional assessment unit, a regional pollution prediction unit, a prediction verification unit and a carbon pollution management unit, the carbon information library is connected to the carbon pollution prediction platform in a one-way communication, the carbon pollution prediction platform is connected to the regional environmental analysis unit in a one-way communication, the regional environmental analysis unit is connected to the sub-regional assessment unit, the regional pollution prediction unit and the carbon pollution management unit in a one-way communication, the regional pollution prediction unit is connected to the prediction verification unit in a one-way communication, the sub-regional assessment unit and the prediction verification unit are connected to the carbon pollution management unit in a one-way communication;

[0034] The carbon pollution prediction platform retrieves the environmental information of the target area from the carbon information library and sends the environmental information to the regional environmental analysis unit. After receiving the environmental information, the regional environmental analysis unit immediately performs regional emission reduction and carbon fixation expected assessment and analysis on the environmental information to understand whether the emission reduction and carbon fixation effect in the current period has reached the expected effect, so as to reasonably adjust the carbon pollution management plan, thereby helping to improve the emission reduction and carbon fixation effect in the target area. The specific regional emission reduction and carbon fixation expected assessment and analysis process is as follows:

[0035] Set a monitoring cycle and set it as the time threshold, divide the time threshold into i sub-time periods, where i is a natural number greater than zero, obtain the environmental information of the target area in each sub-time period, and the environmental information includes carbon emissions and carbon absorption, and then obtain the value obtained by subtracting carbon absorption from carbon emissions, and set the ratio between the value obtained by subtracting carbon absorption from carbon emissions and carbon emissions as the carbon emission assessment coefficient. It should be noted that the larger the value of the carbon emission assessment coefficient, the greater the risk of emission reduction and carbon fixation in the target area;

[0036] The carbon emission assessment coefficient is compared and analyzed with the preset carbon emission assessment coefficient threshold value stored in the internal data entry, and the ratio between the number of sub-time periods corresponding to the carbon emission assessment coefficient being greater than or equal to the preset carbon emission assessment coefficient threshold value and the total number of sub-time periods is set as the carbon pollution probability value. It should be noted that the larger the value of the carbon pollution probability value, the greater the effectiveness risk of the current emission reduction plan, and the more difficult it is to achieve the preset emission reduction and carbon fixation effect;

[0037] And the carbon pollution probability value is discriminated:

[0038] If the carbon pollution probability value is greater than the preset carbon pollution probability value threshold, a carbon emission invalid signal is generated;

[0039] If the carbon pollution probability value is less than or equal to the preset carbon pollution probability value threshold, a carbon emission valid signal is generated, and a carbon emission invalid signal or a carbon emission valid signal is sent to the carbon pollution management unit. After receiving the carbon emission invalid signal or the carbon emission valid signal, the carbon pollution management unit immediately displays the preset warning text corresponding to the carbon emission invalid signal or the carbon emission valid signal, so as to intuitively understand whether the emission reduction and carbon fixation effect in the current period has achieved the expected effect, so as to reasonably adjust the carbon pollution management plan, thereby helping to improve the emission reduction and carbon fixation effect in the target area;

[0040] When a carbon emission invalid signal or a carbon emission valid signal is generated, the sub-regional assessment unit is used to respond to the carbon emission invalid signal or the carbon emission valid signal and perform sub-regional carbon emission supervision division analysis on the carbon emission assessment coefficient, so as to further understand the emission reduction and carbon fixation effects of each sub-region in the target area, so as to carry out targeted emission reduction and carbon fixation optimization adjustments for each region. The specific sub-regional carbon emission supervision division analysis process is as follows:

[0041] Obtain the carbon emission assessment coefficient of each sub-region block within the time threshold, and perform a division and discrimination analysis on the carbon emission assessment coefficient. If the carbon emission assessment coefficient is greater than or equal to the preset carbon emission assessment coefficient threshold, the corresponding area is judged to be a high-pollution area; if the carbon emission assessment coefficient is less than the preset carbon emission assessment coefficient threshold, the corresponding area is judged to be a low-pollution area;

[0042] The target area is divided into g sub-region blocks, where g is a natural number greater than zero. The sub-region emission coefficient corresponding to each sub-region block within the historical m time threshold is obtained. The sub-region emission coefficient represents the value obtained by subtracting the sub-region carbon absorption from the regional carbon emission. m is a natural number greater than zero. A rectangular coordinate system is established with the time threshold as the X-axis and the sub-region emission coefficient as the Y-axis. The sub-region emission coefficient curve is drawn by plotting points, and then the change trend value of the sub-region emission coefficient curve is obtained, and it is set as the carbon emission trend value, and the carbon emission trend value is compared and analyzed with the preset carbon emission trend value threshold stored in the internal entry:

[0043] If the carbon emission trend value is less than or equal to the preset carbon emission trend value threshold, the corresponding area is determined to be a valid area;

[0044] If the carbon emission trend value is greater than the preset carbon emission trend value threshold, the corresponding area is determined to be an invalid area;

[0045] Interactive analysis of high pollution areas, low pollution areas, effective areas, and ineffective areas:

[0046] The sub-areas corresponding to the high-pollution areas and the effective areas are set as high-pollution emission reduction areas;

[0047] The sub-areas corresponding to the high-pollution area and the invalid area are set as high-pollution risk areas;

[0048] The sub-areas corresponding to the low-pollution area and the effective area are set as low-pollution emission reduction areas;

[0049] The sub-areas corresponding to the low pollution area and the invalid area are set as low pollution risk areas;

[0050] Then, the high pollution emission reduction areas, high pollution risk areas, low pollution emission reduction areas and low pollution risk areas are sent to the carbon pollution management unit, which displays the corresponding preset warning text in the high pollution emission reduction areas, high pollution risk areas, low pollution emission reduction areas and low pollution risk areas. On the premise that the overall emission reduction and carbon fixation plan of the target area is effective, the emission reduction and carbon fixation effects of each sub-area in the target area are further understood, so as to make targeted optimization adjustments to emission reduction and carbon fixation in each area.

[0051] Embodiment 2:

[0052] When a carbon emission invalid signal or a carbon emission valid signal is generated, the regional pollution prediction unit is used to respond to the carbon emission invalid signal or the carbon emission valid signal and perform regional carbon pollution risk prediction analysis to determine whether there is a carbon pollution risk in the subsequent target area, so as to reasonably plan the carbon pollution management decision of the target area, thereby helping to reduce the continuous carbon pollution risk of the target area. The specific regional carbon pollution risk prediction and analysis process is as follows:

[0053] The ratio between the number of invalid areas and the number of valid areas within the time threshold is obtained, and the ratio between the number of invalid areas and the number of valid areas is set as the regional pollution index. It should be noted that the larger the value of the regional pollution index, the worse the emission reduction and carbon fixation effect of the target area within the current time threshold; the regional pollution index is compared and analyzed with the preset E1 and preset E2 stored in the internal input, and E1<E2:

[0054] If the regional pollution index is greater than E2, it is judged as a level 1 risk;

[0055] If E1≤regional pollution index≤E2, it is judged as level 2 risk;

[0056] If the regional pollution index is less than E1, it is determined to be a third-level risk, wherein the carbon pollution risks corresponding to the first-level risk, the second-level risk and the third-level risk are successively reduced, and the first-level risk, the second-level risk and the third-level risk are set as the carbon pollution risk level KS, KS = 1, 2, 3, that is, when the carbon pollution risk level KS = 1, it indicates a first-level risk, when the carbon pollution risk level KS = 2, it indicates a second-level risk, and when the carbon pollution risk level KS = 3, it indicates a third-level risk;

[0057] The percentage of carbon pollution risk level KS=2 or carbon pollution risk level KS=3 in the target area within the historical n time thresholds and the current time threshold is obtained, and it is set as the carbon pollution prediction index, n is a natural number greater than zero. It should be noted that the larger the value of the carbon pollution prediction index, the greater the carbon pollution prediction risk; the carbon pollution prediction index is compared and analyzed with the preset carbon pollution prediction index threshold entered internally:

[0058] If the carbon pollution prediction index is greater than or equal to the preset carbon pollution prediction index threshold, a high pollution signal is generated;

[0059] If the carbon pollution prediction index is less than the preset carbon pollution prediction index threshold, a low pollution signal is generated, and the high pollution signal or the low pollution signal is sent to the carbon pollution management unit through the prediction verification unit. After receiving the high pollution signal or the low pollution signal, the carbon pollution management unit immediately displays the preset warning text corresponding to the high pollution signal or the low pollution signal, so as to predict the carbon pollution risk of the target area, so as to reasonably plan the carbon pollution management decision of the target area, thereby helping to reduce the continuous carbon pollution risk of the target area;

[0060] The prediction and verification unit is used to respond to high pollution signals or low pollution signals, collect historical environmental information of the target area, and conduct prediction model construction, verification and feedback analysis on the historical environmental information to determine whether the carbon pollution prediction results of the target area are standard, so as to provide timely feedback management, and then investigate the existing prediction interference factors to improve the accuracy of carbon pollution prediction in the target area. The specific prediction model construction, verification and feedback analysis process is as follows:

[0061] Obtain the historical environmental information of the target area within the historical n time thresholds and the environmental information of the target area within the current time threshold, preprocess the historical environmental information and build a carbon emission prediction model and a carbon absorption prediction model. The preprocessing includes data cleaning, filling in missing values, etc.

[0062] Based on the carbon emission prediction model and the carbon absorption prediction model, the predicted carbon emission value and the predicted carbon absorption value of the target area within the current time threshold are obtained, and then the difference between the predicted carbon emission value and the carbon emission within the current time threshold and the difference between the predicted carbon absorption value and the carbon absorption within the current time threshold are obtained, and they are set as the carbon emission error value and the carbon absorption error value respectively;

[0063] And the carbon emission error value and carbon absorption error value are distinguished:

[0064] If the carbon emission error value falls within the preset carbon emission error value range, and the carbon absorption error value falls within the preset carbon absorption error value range, a prediction verification signal is generated;

[0065] If the carbon emission error value does not fall within the preset carbon emission error value range, or the carbon absorption error value does not fall within the preset carbon absorption error value range, a control signal is generated and sent to the carbon pollution management unit. After receiving the control signal, the carbon pollution management unit immediately displays the carbon emission error value or carbon absorption error value that does not fall within the corresponding preset range, so as to optimize and adjust one or both of the carbon emission prediction model and the carbon absorption prediction model according to the displayed data to improve the accuracy of the prediction result.

[0066] When the prediction verification signal is generated, the predicted carbon emission value and the predicted carbon absorption value are obtained, the ratio between the predicted carbon emission value and the predicted carbon absorption value is set as the predicted carbon pollution risk value, and the predicted carbon pollution risk value is compared and analyzed:

[0067] If the predicted carbon pollution risk value is greater than or equal to the preset predicted carbon pollution risk value threshold, a high pollution signal is generated;

[0068] If the predicted carbon pollution risk value is less than the preset predicted carbon pollution risk value threshold, a low pollution signal is generated, and a high pollution signal or a low pollution signal is sent to the carbon pollution management unit. After receiving the high pollution signal or the low pollution signal, the carbon pollution management unit verifies and analyzes the output result of the regional pollution prediction unit. If a high pollution signal and a high pollution signal or a low pollution signal and a low pollution signal are obtained, an output signal is obtained, and the preset warning text corresponding to the high pollution signal or the low pollution signal is immediately displayed. If a high pollution signal and a low pollution signal or a high pollution signal and a low pollution signal are obtained, a prediction deviation signal is obtained, and the preset warning text corresponding to the prediction deviation signal is immediately displayed, so as to provide timely feedback management, and then check the existing prediction interference factors to improve the accuracy of carbon pollution prediction in the target area.

[0069] Embodiment three:

[0070] The carbon pollution prediction method based on emission reduction and carbon fixation includes the following steps:

[0071] Step 1: Collect environmental information of the target area and conduct regional emission reduction and carbon sequestration expectation assessment and analysis, and perform discrimination processing on the obtained carbon pollution probability value to obtain a carbon emission invalid signal or a carbon emission valid signal;

[0072] Step 2: Based on the sub-regional carbon emission supervision division analysis under information feedback, further determine whether the emission reduction and carbon fixation of each sub-region meets the standards, and obtain high-pollution emission reduction areas, high-pollution risk areas, low-pollution emission reduction areas, and low-pollution risk areas;

[0073] Step 3: Perform regional carbon pollution risk prediction analysis in a progressive manner, compare and analyze the obtained carbon pollution prediction index, and obtain high pollution signals or low pollution signals;

[0074] Step 4: Collect historical environmental information of the target area and conduct verification and feedback analysis on the prediction model construction to determine whether the carbon pollution prediction results of the target area are standard and obtain high pollution signals or low pollution signals;

[0075] Step 5: Interactively verify and analyze the obtained high pollution signals, high pollution signals, low pollution signals and low pollution signals. If an output signal or a prediction deviation signal is obtained, feedback management is performed;

[0076] A computer-readable storage medium storing a computer program, wherein the computer program implements the above method when executed by a processor;

[0077] To summarize, the present invention preliminarily analyzes from the perspective of environmental information of the target area to understand whether the emission reduction and carbon fixation effects in the current period have achieved the expected effects, so as to reasonably adjust the carbon pollution management plan, which will help improve the emission reduction and carbon fixation effects in the target area. The sub-regional carbon emission supervision division analysis is carried out by means of information feedback to further understand the emission reduction and carbon fixation effects of each sub-region in the target area, so as to carry out targeted emission reduction and carbon fixation optimization adjustments for each region. At the same time, regional carbon pollution risk prediction analysis is carried out to determine whether there is a carbon pollution risk in the subsequent target area, so as to reasonably plan the carbon pollution management decisions of the target area, which will help reduce the continuous carbon pollution risk in the target area. The prediction model construction verification feedback analysis of the historical environmental information is carried out in a progressive manner to determine whether the carbon pollution prediction results of the target area are standard, so as to provide timely feedback management, and then check the existing prediction interference factors to improve the accuracy of carbon pollution prediction in the target area.

[0078] The threshold is set to facilitate comparison. The size of the threshold depends on the amount of sample data and the number of bases set by technicians in this field for each group of sample data; as long as it does not affect the proportional relationship between the parameter and the quantized value.

[0079] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A carbon pollution prediction system based on emission reduction and carbon fixation, characterized in that: It includes a carbon pollution prediction platform, a carbon information database, a regional environmental analysis unit, a sub-regional assessment unit, a regional pollution prediction unit, a prediction verification unit, and a carbon pollution management unit; The carbon pollution prediction platform retrieves the environmental information of the target area from the carbon information library and sends the environmental information to the regional environmental analysis unit. After receiving the environmental information, the regional environmental analysis unit immediately performs regional emission reduction and carbon fixation expectation assessment analysis on the environmental information to obtain a carbon emission invalid signal or a carbon emission valid signal; The sub-regional assessment unit is used to respond to the carbon emission invalid signal or the carbon emission valid signal and perform sub-regional carbon emission supervision division analysis on the carbon emission assessment coefficient, and interactively analyze the obtained high pollution area, low pollution area, effective area and invalid area to obtain high pollution reduction area, high pollution risk area, low pollution reduction area and low pollution risk area; The regional pollution prediction unit is used to respond to the carbon emission invalid signal or the carbon emission valid signal and perform regional carbon pollution risk prediction analysis to obtain a high pollution signal or a low pollution signal; The prediction and verification unit is used to respond to high pollution signals or low pollution signals, collect historical environmental information of the target area, and perform prediction model construction, verification and feedback analysis on the historical environmental information to obtain control signals or high pollution signals or low pollution signals.

2. The carbon pollution prediction system based on emission reduction and carbon fixation according to claim 1 is characterized in that: The regional emission reduction and carbon sequestration expected assessment and analysis process of the regional environmental analysis unit is as follows: Set a monitoring period and set it as a time threshold, divide the time threshold into i sub-time periods, where i is a natural number greater than zero, obtain the environmental information of the target area in each sub-time period, the environmental information includes carbon emissions and carbon absorption, and then obtain the value obtained by subtracting carbon absorption from carbon emissions, and set the ratio between the value obtained by subtracting carbon absorption from carbon emissions and carbon emissions as the carbon emission assessment coefficient; The carbon emission assessment coefficient is compared and analyzed with the preset carbon emission assessment coefficient threshold value entered and stored internally, and the ratio between the number of sub-time periods corresponding to the carbon emission assessment coefficient being greater than or equal to the preset carbon emission assessment coefficient threshold value and the total number of sub-time periods is set as the carbon pollution probability value. The carbon pollution probability value is discriminated and processed to generate a carbon emission invalid signal or a carbon emission valid signal.

3. The carbon pollution prediction system based on emission reduction and carbon fixation according to claim 2 is characterized in that: The sub-region carbon emission regulation division analysis process of the sub-region assessment unit is as follows: The carbon emission assessment coefficient of each sub-region block within the time threshold is obtained, and the carbon emission assessment coefficient is divided and discriminated for analysis. If the carbon emission assessment coefficient is greater than or equal to the preset carbon emission assessment coefficient threshold, the corresponding area is judged to be a high-pollution area. If the carbon emission assessment coefficient is less than the preset carbon emission assessment coefficient threshold, the corresponding area is judged to be a low-pollution area.

4. The carbon pollution prediction system based on emission reduction and carbon fixation according to claim 3 is characterized in that: The target area is divided into g sub-region blocks, where g is a natural number greater than zero. The sub-region emission coefficient corresponding to each sub-region block within the historical m time thresholds is obtained. The sub-region emission coefficient represents the value obtained by subtracting the sub-region carbon absorption from the regional carbon emission. m is a natural number greater than zero. A rectangular coordinate system is established with the time threshold as the X-axis and the sub-region emission coefficient as the Y-axis. The sub-region emission coefficient curve is drawn by plotting points, and then the change trend value of the sub-region emission coefficient curve is obtained, and it is set as the carbon emission trend value. The carbon emission trend value is compared and analyzed with the preset carbon emission trend value threshold stored in the internal input, and the valid area and the invalid area are obtained. Interactive analysis is performed on high-pollution areas, low-pollution areas, effective areas, and invalid areas: high-pollution emission reduction areas, high-pollution risk areas, low-pollution emission reduction areas, and low-pollution risk areas are obtained.

5. The carbon pollution prediction system based on emission reduction and carbon fixation according to claim 4 is characterized in that: The regional carbon pollution risk prediction and analysis process of the regional pollution prediction unit is as follows: The ratio between the number of invalid areas and the number of valid areas within the time threshold is obtained, and the ratio between the number of invalid areas and the number of valid areas is set as the regional pollution index. The regional pollution index is compared and analyzed with the preset E1 and preset E2 stored in the internal input, and E1 < E2, and the first-level risk, the second-level risk and the third-level risk are obtained. The first-level risk, the second-level risk and the third-level risk are set as the carbon pollution risk level KS, KS = 1, 2, 3; The percentage of the number of carbon pollution risk levels KS=2 or KS=3 in the target area within the historical n time thresholds and the current time threshold is obtained, and it is set as the carbon pollution prediction index, where n is a natural number greater than zero. The carbon pollution prediction index is compared and analyzed with the preset carbon pollution prediction index threshold entered internally to generate a high pollution signal or a low pollution signal.

6. The carbon pollution prediction system based on emission reduction and carbon fixation according to claim 5 is characterized in that: The prediction model building verification feedback analysis process of the prediction verification unit is as follows: Obtain the historical environmental information of the target area within the historical n time thresholds and the environmental information of the target area within the current time threshold, preprocess the historical environmental information and build a carbon emission prediction model and a carbon absorption prediction model. The preprocessing includes data cleaning and filling in missing values. Based on the carbon emission prediction model and the carbon absorption prediction model, the predicted carbon emission value and the predicted carbon absorption value of the target area within the current time threshold are obtained, and then the difference between the predicted carbon emission value and the carbon emission within the current time threshold and the difference between the predicted carbon absorption value and the carbon absorption within the current time threshold are obtained, and they are set as the carbon emission error value and the carbon absorption error value respectively, and the carbon emission error value and the carbon absorption error value are discriminated and processed to generate a prediction verification signal or a control signal.

7. The carbon pollution prediction system based on emission reduction and carbon fixation according to claim 6 is characterized in that: When a prediction verification signal is generated, the predicted carbon emission value and the predicted carbon absorption value are obtained, the ratio between the predicted carbon emission value and the predicted carbon absorption value is set as the predicted carbon pollution risk value, and the predicted carbon pollution risk value is compared and analyzed to generate a high pollution signal or a low pollution signal.

8. A carbon pollution prediction method based on emission reduction and carbon fixation, the method being applied to the carbon pollution prediction system based on emission reduction and carbon fixation as claimed in claim 7, characterized in that: The following steps are involved: Step 1: Collect environmental information of the target area and conduct regional emission reduction and carbon sequestration expectation assessment and analysis, and perform discrimination processing on the obtained carbon pollution probability value to obtain a carbon emission invalid signal or a carbon emission valid signal; Step 2: Based on the sub-region carbon emission supervision division analysis under information feedback, further determine whether the emission reduction and carbon fixation of each sub-region meets the standards, and obtain high-pollution emission reduction areas, high-pollution risk areas, low-pollution emission reduction areas, and low-pollution risk areas; Step 3: Perform regional carbon pollution risk prediction analysis in a progressive manner, compare and analyze the obtained carbon pollution prediction index, and obtain high pollution signals or low pollution signals; Step 4: Collect historical environmental information of the target area and conduct verification and feedback analysis on the prediction model construction to determine whether the carbon pollution prediction results of the target area are standard and obtain high pollution signals or low pollution signals; Step 5: Interactively verify and analyze the obtained high pollution signals, high pollution signals, low pollution signals and low pollution signals. If an output signal or a prediction deviation signal is obtained, feedback management is performed.

9. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the method according to claim 8 is implemented.

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