Carbon asset management system based on machine learning

Abstract

The present invention discloses a carbon asset management system based on machine learning, which belongs to the technical field of carbon asset management. The invention is used to solve the technical problem that the regulatory treatment effect of the enterprise's carbon assets used in the early stage and the regulatory treatment effect of the unused carbon assets in the later stage in the existing scheme are not good. The stage usage status of the carbon assets in different used periods at present is supervised and analyzed and combined according to the carbon asset usage data in different historical periods, and the stage usage regulatory analysis data corresponding to the current used period is obtained. The stage usage regulatory analysis data corresponding to the enterprise's different used periods at the early stage is used to implement multi-dimensional supervision and evaluation of the enterprise's carbon assets in the remaining period, the evaluation results of different dimensions are integrated and analyzed, and the enterprise's carbon assets are dynamically managed adaptively, so as to realize the use of the current usage regulatory data of different used periods to digitally process, analyze and manage the remaining over-standard status of all the remaining periods at present.

Description

Technical Field

[0001] The present invention relates to the technical field of carbon asset management, and in particular to a carbon asset management system based on machine learning. Background Art

[0002] Carbon asset management refers to a series of activities that companies carry out to identify, measure, manage, optimize and report their carbon emissions and carbon assets when facing the challenges of climate change.

[0003] The existing enterprises' carbon asset management still lacks a systematic planning and management framework, resulting in inadequate standardization of carbon asset management and difficulty in forming an effective management system. For example, when implementing the existing carbon asset management plan, it is unable to combine the carbon asset usage data from different historical periods to conduct local regulatory assessments on the stage usage status of carbon assets in different current used periods, conduct an overall assessment of all stage usage statuses corresponding to the current carbon assets in different used periods, and adaptively and dynamically manage the carbon assets in subsequent unused periods, resulting in poor regulatory treatment of the company's carbon assets in the early stage of use and poor regulatory treatment of the unused assets in the later stage. Summary of the invention

[0004] The purpose of the present invention is to provide a carbon asset management system based on machine learning, which is used to solve the technical problems in existing solutions that the regulatory treatment effect of enterprise carbon assets used in the early stage is poor and the regulatory treatment effect of unused carbon assets in the later stage is poor.

[0005] The purpose of the present invention can be achieved through the following technical solutions:

[0006] The carbon asset management system based on machine learning includes a phased carbon asset use supervision and analysis module, which is used to supervise and analyze the phased use status of carbon assets in different used periods according to the carbon asset use data in different historical periods and process and combine them, obtain the phased use supervision and analysis data corresponding to the current used period and upload it to the management platform;

[0007] Among them, the total amount of carbon asset usage corresponding to different historical periods is counted and processed to obtain the historical stage carbon asset usage processing sequence corresponding to all historical periods;

[0008] Divide and process the carbon quota corresponding to the enterprise this year to obtain the current carbon asset quota processing sequence corresponding to different periods of the enterprise this year;

[0009] The current carbon asset quota processing sequence is used to supervise and digitize the stage usage status of the enterprise's carbon assets at different used periods, and obtain the stage usage identification corresponding to the enterprise's current different used periods;

[0010] Perform data analysis on the stage use identifier to determine the stage carbon quota use status corresponding to the used period, and digitally process and combine the carbon quota use status of different stages to obtain the stage use supervision subsequence corresponding to the used period;

[0011] Arrange and combine all the stage usage supervision subsequences corresponding to the current different used periods of the enterprise to obtain the stage usage supervision analysis data corresponding to the current used period;

[0012] The stage carbon asset remaining assessment management module is used to implement multi-dimensional supervision and assessment of the remaining period of the enterprise's carbon assets based on the stage use supervision analysis data corresponding to the current used period of the enterprise, integrate and analyze the assessment results of different dimensions, and adaptively manage the enterprise's carbon assets dynamically;

[0013] Dynamic management includes maintaining the existing phase carbon quota usage plan and implementing the corresponding carbon asset first management plan or second management plan.

[0014] Preferably, the total amount of carbon asset usage JSi corresponding to different historical periods is obtained, where i is a different historical period, i={1, 2, 3, ..., 12}, and the formula Calculate and obtain the carbon asset utilization ratio BJi corresponding to different historical periods; where [*] is the value function;

[0015] The carbon asset utilization ratios calculated and obtained in different historical periods are arranged and combined in the order of time to obtain the historical carbon asset utilization processing sequence corresponding to all historical periods;

[0016] Obtain the carbon quota PZ corresponding to the enterprise this year, and use the formula Calculate the carbon quota PJi corresponding to different periods of the year;

[0017] Arrange and combine all the carbon quotas calculated and obtained by the enterprise at different periods of this year in the order of Beijing time to obtain the current carbon asset quota processing sequence corresponding to the enterprise at different periods of this year.

[0018] Preferably, when the current stage carbon asset quota processing sequence is used to supervise and evaluate the stage usage status of the enterprise's carbon assets in different used periods, the stage used quotas YJi corresponding to the enterprise's current different used periods are counted; and the stage used quotas of different used periods are analyzed through the stage carbon quota use identification function, and the stage use identifier BSi corresponding to the used period is output;

[0019] Among them, the expression of the phase carbon quota usage identification function is: ;

[0020] The stage usage flag contains a value of 0 or 1, indicating whether the stage carbon quota usage status corresponding to the used period is normal or abnormal;

[0021] Data analysis is performed on the stage usage identifier to determine the stage carbon quota usage status corresponding to the used period.

[0022] Preferably, if the stage usage flag is 0, a normal signal of the stage carbon quota usage status is generated and prompted, and at the same time, the stage carbon remaining quota STi corresponding to the used period is calculated by the formula STi=PJi-YJi;

[0023] If the stage usage flag is 1, an abnormal signal of the stage carbon quota usage status is generated and prompted, and the stage carbon excess quota CTi corresponding to the used period is calculated through the formula CTi=YJi-PJi;

[0024] The calculated stage carbon remaining quota or stage carbon excess quota is respectively associated and combined with the corresponding stage usage identifier to obtain the stage usage supervision subsequence corresponding to the used period.

[0025] Preferably, different stage usage supervision subsequences sorted in the stage usage supervision analysis data of the enterprise are traversed and counted, and the stage usage supervision subsequences to which the stage usage identifiers with values ​​of 0 or 1 belong are marked as remaining subsequences and exceeding standard subsequences respectively;

[0026] Count the carbon quota surplus rates at different stages corresponding to different surplus subsequences, and the carbon quota excess rates at different stages corresponding to different excess subsequences;

[0027] The median corresponding to the carbon quota surplus rate of all stages is obtained and marked as the standard carbon quota surplus rate L1; and the median corresponding to the carbon quota excess rate of all stages is obtained and marked as the standard carbon quota excess rate L2.

[0028] Preferably, the total amount of carbon quota used SZ corresponding to all the used periods of the enterprise is counted, and the formula Calculate and obtain the overall usage identifier BZ corresponding to all the current used periods of the enterprise; where SZ0 is the total amount of standard carbon quotas corresponding to all the current used periods.

[0029] Preferably, the overall usage identifier is analyzed to determine the overall carbon quota usage status of the enterprise at the moment. If the overall usage identifier is 0, a normal signal of the overall carbon quota usage status is generated and prompted, and at the same time, an analysis of the available status of the remaining carbon quota corresponding to the remaining period is performed;

[0030] If the overall usage flag is 1, an abnormal signal of the overall carbon quota usage status is generated and prompted, and at the same time, an analysis of the remaining carbon quota processable status corresponding to the remaining period is implemented.

[0031] Preferably, when analyzing the regulatory status of the remaining carbon quotas corresponding to all remaining periods of the enterprise's carbon assets, the overall use identifier is used through the formula Calculate and obtain the remaining carbon quota supervision value ZJ corresponding to all remaining periods of the enterprise; where k is 1 or 2; Lk is L1 or L2; N1 is the total number of different used periods of the used carbon quota; YYi´ is the stage estimated quota corresponding to different remaining periods, i´ is different remaining periods, i´={1, 2, 3, ..., N}; N is a positive integer; N is the total number of different remaining periods of unused carbon quota.

[0032] Preferably, data analysis is performed on the remaining carbon quota regulatory value;

[0033] If the remaining carbon quota supervision value is 0, a normal instruction for the remaining excess is generated and the existing phase carbon quota usage plan is maintained;

[0034] If the remaining carbon quota supervision value is greater than 0, a remaining excess exception instruction is generated and the corresponding carbon asset first management plan or second management plan is implemented.

[0035] Preferably, the first management scheme or the second management scheme corresponding to the carbon assets is respectively the optimized management of the remaining utilization of the carbon assets or the optimized management of the excessive treatment of the carbon assets.

[0036] Compared with the existing solutions, the present invention achieves the following beneficial effects:

[0037] The present invention supervises and analyzes the stage usage status of carbon assets in different current used periods based on the carbon asset usage data in different historical periods, and processes the combination to obtain the stage usage supervision and analysis data corresponding to the current used period, and realizes the use of the usage data in different historical periods to supervise and digitally process the stage usage status of different current used periods. It can not only obtain the different stage usage status corresponding to the current different used periods, but also provide reliable used supervision data support for the multi-dimensional supervision analysis corresponding to the subsequent remaining dates, thereby improving the data supervision and processing effect on the use of carbon assets.

[0038] The present invention implements multi-dimensional supervision and evaluation of the enterprise's carbon assets for the remaining period by utilizing the stage usage supervision analysis data corresponding to the enterprise's different previous used periods, integrates and analyzes the evaluation results of different dimensions, and adaptively manages the enterprise's carbon assets dynamically. It realizes the use of the current usage supervision data of different used periods to digitally process, analyze and manage the remaining over-standard status of all current remaining periods, thereby improving the multi-dimensional data supervision and processing effect of the unused carbon assets. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] The present invention will be further described below in conjunction with the accompanying drawings.

[0040] Figure 1 This is a module block diagram of the carbon asset management system based on machine learning of the present invention.

[0041] Figure 2 This is a flowchart of the steps for operating the carbon asset management system based on machine learning of the present invention.

[0042] Figure 3 It is a flowchart of the present invention for monitoring and evaluating the stage usage status of the enterprise's carbon assets at different usage periods.

[0043] Figure 4 This is a flowchart for determining the overall carbon quota usage status corresponding to the enterprise in the present invention. DETAILED DESCRIPTION

[0044] 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.

[0045] like Figure 1 to Figure 2 As shown, the present invention is a carbon asset management system based on machine learning, including a management platform, and a stage carbon asset use supervision and analysis module and a stage carbon asset remaining assessment management module connected to the management platform in communication;

[0046] The phased carbon asset use supervision and analysis module is used to supervise and analyze the phased use status of carbon assets in different used periods according to the carbon asset use data in different historical periods, and to process and combine them, so as to obtain the phased use supervision and analysis data corresponding to the current used period and upload it to the management platform; including:

[0047] The unit corresponding to the period is month. For different historical periods, the specific units can be different months of the previous year.

[0048] Obtain the total amount of carbon asset usage JSi corresponding to different historical periods, where i is a different historical period, i={1, 2, 3, ..., 12}, and use the formula Calculate and obtain the carbon asset utilization ratio BJi corresponding to different historical periods; where [*] is the value function;

[0049] It should be noted that the stage carbon asset usage ratio is used to calculate the total stage carbon asset usage corresponding to different historical periods of the enterprise, so as to digitally represent the stage carbon asset usage ratio corresponding to different historical periods;

[0050] In the embodiment of the present invention, by processing and calculating the total amount of carbon asset usage data corresponding to different periods in the history of the enterprise, the proportion of carbon asset usage corresponding to different periods in the history can be obtained, which can provide reliable division data support for the subsequent analysis of the carbon quota processing corresponding to different periods used by the enterprise at present;

[0051] The carbon asset utilization ratios calculated and obtained in different historical periods are arranged and combined in the order of time to obtain the historical carbon asset utilization processing sequence corresponding to all historical periods;

[0052] Obtain the carbon quota PZ corresponding to the enterprise this year, and use the formula Calculate the carbon quota PJi corresponding to different periods of the year;

[0053] Arrange and combine all the carbon quotas calculated and obtained by the enterprise at different periods of this year in the order of Beijing time to obtain the current carbon asset quota processing sequence corresponding to different periods of this year;

[0054] Different from the existing technical solutions that only fuzzily divide the phase carbon quotas corresponding to different periods of the year of the enterprise based on preset rules, in the embodiment of the present invention, the phase carbon quotas corresponding to different periods of the year are obtained by performing different methods of data calculation on the phase carbon asset usage total data corresponding to different historical periods and the carbon quotas corresponding to this year, thereby realizing the expanded utilization of different historical periods and improving the diversity and reliability of the expanded utilization of carbon quota usage data for different historical periods;

[0055] like Figure 3 As shown, when the current stage carbon asset quota processing sequence is used to supervise and evaluate the stage use status of the enterprise's carbon assets in different used periods, the current different used periods, specifically the different months in which the carbon assets have been used this year, are used to count the stage used quotas YJi corresponding to the current different used periods of the enterprise; and the stage used quotas of different used periods are analyzed through the stage carbon quota use identification function, and the stage use identification BSi corresponding to the used period is output;

[0056] Among them, the expression of the phase carbon quota usage identification function is: ;

[0057] It should be noted that the stage usage identifier is used to perform data calculation on the stage used quota data corresponding to the used period, so as to digitally represent the stage usage status corresponding to the used period;

[0058] The stage usage flag contains a value of 0 or 1, indicating whether the stage carbon quota usage status corresponding to the used period is normal or abnormal;

[0059] In the embodiment of the present invention, by performing data analysis on the stage carbon quota and stage used quota data corresponding to different historical periods obtained in the previous process, the stage use identifiers corresponding to different used periods of the year are obtained, which can digitally process the stage use status of different used periods of the enterprise, and provide reliable local analysis data support for the overall carbon quota use status analysis corresponding to all subsequent used periods;

[0060] Perform data analysis on the stage usage identification to determine the stage carbon quota usage status corresponding to the used period;

[0061] If the stage usage flag is 0, a normal signal of the stage carbon quota usage status is generated and prompted, and the stage carbon remaining quota STi corresponding to the used period is calculated through the formula STi=PJi-YJi;

[0062] If the stage usage flag is 1, an abnormal signal of the stage carbon quota usage status is generated and prompted, and the stage carbon excess quota CTi corresponding to the used period is calculated through the formula CTi=YJi-PJi;

[0063] It is worth noting that by further processing the data on the stage carbon quota usage status corresponding to different used dates, the stage carbon remaining quota or stage carbon excess quota corresponding to the used period can be obtained, which can provide reliable stage processing data support for subsequent remaining excess status analysis and carbon asset management;

[0064] The calculated remaining carbon quota or excess carbon quota of a stage is respectively associated and combined with the corresponding stage usage identifier to obtain the stage usage supervision subsequence corresponding to the used period;

[0065] Arrange and combine all the stage usage supervision subsequences corresponding to the current different used periods of the enterprise to obtain the stage usage supervision analysis data corresponding to the current used period;

[0066] In the embodiment of the present invention, the stage usage status of carbon assets in different current used periods is supervised, analyzed and processed in combination based on the carbon asset usage data in different historical periods, and the stage usage supervision and analysis data corresponding to the current used period is obtained, which realizes the supervision and digital processing of the stage usage status of different current used periods by using the usage data in different historical periods. It can not only obtain the different stage usage status corresponding to the current different used periods, but also provide reliable used supervision data support for the multi-dimensional supervision analysis corresponding to the subsequent remaining dates, thereby improving the data supervision and processing effect on the use of carbon assets.

[0067] The stage carbon asset remaining assessment management module is used to implement multi-dimensional supervision and assessment of the remaining period of the enterprise's carbon assets based on the stage use supervision analysis data corresponding to the current used period of the enterprise, integrate and analyze the assessment results of different dimensions, and adaptively manage the enterprise's carbon assets dynamically; including:

[0068] Perform traversal statistics on the different stage use supervision subsequences sorted in the stage use supervision analysis data of the enterprise, and mark the stage use supervision subsequences to which the stage use identifiers with values ​​of 0 or 1 belong as remaining subsequences and exceeding standard subsequences respectively;

[0069] Count the carbon quota surplus rates at different stages corresponding to different surplus subsequences, and the carbon quota excess rates at different stages corresponding to different excess subsequences;

[0070] Among them, the remaining rate of carbon quota in the stage and the excess rate of carbon quota in the stage can be calculated by the formula The phase carbon quota change rate is calculated; the phase carbon quota change rate includes the phase carbon quota surplus rate and the phase carbon quota excess rate;

[0071] The division of the stage carbon quota surplus rate and the stage carbon quota excess rate can be determined according to the numerical sign obtained by calculation; for example, if the numerical sign obtained by the formula calculation is a negative sign, the numerical value obtained by calculation is marked as the stage carbon quota surplus rate; if the numerical sign obtained by the formula calculation is a positive sign, the numerical value obtained by calculation is marked as the stage carbon quota excess rate;

[0072] Obtain the median value corresponding to the carbon quota surplus rate of all stages and mark it as the standard carbon quota surplus rate L1; and obtain the median value corresponding to the carbon quota excess rate of all stages and mark it as the standard carbon quota excess rate L2;

[0073] Count the total amount of carbon quota used by the enterprise for all the periods currently used SZ, and use the formula Calculate and obtain the overall usage identifier BZ corresponding to all the current used periods of the enterprise; where SZ0 is the total amount of standard carbon quotas corresponding to all the current used periods;

[0074] It should be noted that the overall usage mark is used to calculate the data of all carbon quota usage data corresponding to all the current used periods of the enterprise, so as to digitally represent the overall usage status corresponding to all the current used periods;

[0075] In the embodiment of the present invention, by calculating all carbon quota usage data corresponding to all currently used periods of the enterprise to obtain the corresponding overall usage identifier, reliable overall usage dimension supervision data support can be provided for the subsequent analysis of the remaining carbon quota supervision status corresponding to all remaining periods;

[0076] like Figure 4As shown, the overall usage identification is analyzed to determine the overall carbon quota usage status of the enterprise at the moment;

[0077] If the overall usage flag is 0, a normal signal of overall carbon quota usage status is generated and prompted, and an analysis of the available status of the remaining carbon quota corresponding to the remaining period is carried out at the same time;

[0078] If the overall usage flag is 1, an abnormal signal of the overall carbon quota usage status is generated and prompted, and at the same time, an analysis of the remaining carbon quota processable status corresponding to the remaining period is carried out;

[0079] When analyzing the remaining carbon quota regulatory status corresponding to all remaining periods of the enterprise's carbon assets, the remaining carbon quota regulatory status is specifically the remaining carbon quota available status, or the remaining carbon quota processable status, according to the overall use mark through the formula Calculate and obtain the remaining carbon quota supervision value ZJ corresponding to all remaining periods of the enterprise; where k is 1 or 2; Lk is L1 or L2; the value of k is determined according to the overall use mark, if the overall use mark is 0, k is 1; if the overall use mark is 1, k is 2; N1 is the total number of different used periods of the used carbon quota; YYi´ is the stage estimated quota corresponding to different remaining periods, i´ is different remaining periods, i´={1, 2, 3, ..., N}; N is a positive integer; N is the total number of different remaining periods of unused carbon quota;

[0080] It should be noted that the remaining carbon quota regulatory value is used to calculate the remaining carbon quota data corresponding to all remaining periods of the enterprise to digitally represent its corresponding remaining excess status;

[0081] Conduct data analysis on the remaining carbon quota regulatory values;

[0082] If the remaining carbon quota supervision value is 0, a normal instruction for the remaining excess is generated and the existing phase carbon quota usage plan is maintained;

[0083] If the remaining carbon quota supervision value is greater than 0, a remaining excess exception instruction is generated and the corresponding first carbon asset management plan or second management plan is implemented;

[0084] The first management plan or the second management plan corresponding to the carbon assets is respectively the optimized management of the remaining utilization of the carbon assets or the optimized management of the treatment of excess carbon assets;

[0085] Optimizing the management of the remaining utilization of carbon assets, specifically selling the remaining carbon assets;

[0086] The optimized management of carbon assets exceeding the standard can be achieved by purchasing carbon assets exceeding the standard, or iterating or upgrading existing production equipment or production processes.

[0087] In the embodiment of the present invention, by utilizing the stage usage supervision and analysis data corresponding to the different used periods of the enterprise in the previous period, multi-dimensional supervision and evaluation of the enterprise's carbon assets for the remaining period are implemented, the evaluation results of different dimensions are integrated and analyzed, and the enterprise's carbon assets are dynamically managed adaptively. It is realized that the usage supervision data of different used periods is used to digitally process, analyze and manage the remaining over-standard status of all remaining periods, thereby improving the multi-dimensional data supervision and processing effect of the unused carbon assets.

[0088] In addition, the formulas involved in the above are all dimensionless and numerical calculations. They are a formula that is closest to the actual situation obtained by collecting a large amount of data and simulating it with simulation software.

[0089] In the several embodiments provided by the present invention, it should be understood that the disclosed system can be implemented in other ways. For example, the above-described embodiments of the invention are only illustrative, for example, the division of modules is only a logical function division, and there may be other division methods in actual implementation.

[0090] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical modules, and may be located in one place or distributed on multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0091] In addition, each functional module in each embodiment of the present invention may be integrated into one processing module, or each module may exist physically separately, or two or more modules may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of hardware plus software functional modules.

[0092] It is obvious to a person skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the present invention can be implemented in other specific forms without departing from the essential characteristics of the present invention.

[0093] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present invention.

Claims

1. A carbon asset management system based on machine learning, characterized in that: include: The phased carbon asset use supervision and analysis module is used to supervise and analyze the phased use status of carbon assets in different used periods according to the carbon asset use data in different historical periods, and to process and combine them, so as to obtain the phased use supervision and analysis data corresponding to the current used period and upload it to the management platform; Among them, the total amount of carbon asset usage JSi corresponding to different historical periods is obtained, i is a different historical period, i={1, 2, 3, ..., 12}, and the formula is used Calculate and obtain the carbon asset utilization ratio BJi corresponding to different historical periods; where [*] is the value function; The carbon asset utilization ratios calculated and obtained in different historical periods are arranged and combined in the order of time to obtain the historical carbon asset utilization processing sequence corresponding to all historical periods; Obtain the carbon quota PZ corresponding to the enterprise this year, and use the formula Calculate the carbon quota PJi corresponding to different periods of the year; Arrange and combine all the carbon quotas calculated and obtained by the enterprise at different periods of this year in the order of Beijing time to obtain the current carbon asset quota processing sequence corresponding to different periods of this year; When using the current carbon asset quota processing sequence to supervise and evaluate the stage usage status of the enterprise's carbon assets in different used periods, the stage used quotas YJi corresponding to the current different used periods of the enterprise are counted; the stage used quotas of different used periods are analyzed through the stage carbon quota use identification function, and the stage use identification BSi corresponding to the used period is output; Among them, the expression of the phase carbon quota usage identification function is: ; The stage usage flag contains a value of 0 or 1, indicating whether the stage carbon quota usage status corresponding to the used period is normal or abnormal; Perform data analysis on the stage usage identification to determine the stage carbon quota usage status corresponding to the used period; If the stage usage flag is 0, a normal signal of stage carbon quota usage status is generated and prompted, and the stage carbon remaining quota STi corresponding to the used period is calculated through the formula STi=PJi-YJi; If the stage usage flag is 1, an abnormal signal of the stage carbon quota usage status is generated and prompted, and the stage carbon excess quota CTi corresponding to the used period is calculated through the formula CTi=YJi-PJi; The calculated remaining carbon quota or excess carbon quota of a stage is respectively associated and combined with the corresponding stage usage identifier to obtain the stage usage supervision subsequence corresponding to the used period; Arrange and combine all the stage usage supervision subsequences corresponding to the current different used periods of the enterprise to obtain the stage usage supervision analysis data corresponding to the current used period; The stage carbon asset remaining assessment management module is used to implement multi-dimensional supervision and assessment of the remaining period of the enterprise's carbon assets based on the stage use supervision analysis data corresponding to the current used period of the enterprise, integrate and analyze the assessment results of different dimensions, and adaptively manage the enterprise's carbon assets dynamically; Dynamic management includes maintaining the existing phase carbon quota usage plan and implementing the corresponding carbon asset first management plan or second management plan.

2. The carbon asset management system based on machine learning according to claim 1 is characterized in that: Perform traversal statistics on the different stage use supervision subsequences sorted in the stage use supervision analysis data of the enterprise, and mark the stage use supervision subsequences to which the stage use identifiers with values ​​of 0 or 1 belong as remaining subsequences and exceeding standard subsequences respectively; Count the carbon quota surplus rates at different stages corresponding to different surplus subsequences, and the carbon quota excess rates at different stages corresponding to different excess subsequences; The median corresponding to the carbon quota surplus rate of all stages is obtained and marked as the standard carbon quota surplus rate L1; and the median corresponding to the carbon quota excess rate of all stages is obtained and marked as the standard carbon quota excess rate L2.

3. The machine learning-based carbon asset management system according to claim 2, characterized in that: Count the total amount of carbon quota used by the enterprise for all the periods currently used SZ, and use the formula Calculate and obtain the overall usage identifier BZ corresponding to all the current used periods of the enterprise; where SZ0 is the total amount of standard carbon quotas corresponding to all the current used periods.

4. The machine learning-based carbon asset management system according to claim 3, characterized in that: Perform data analysis on the overall usage mark to determine the overall carbon quota usage status of the enterprise. If the overall usage mark is 0, a normal signal of the overall carbon quota usage status is generated and prompted, and at the same time, an analysis of the available status of the remaining carbon quota corresponding to the remaining period is carried out; If the overall usage flag is 1, an abnormal signal of the overall carbon quota usage status is generated and prompted, and at the same time, an analysis of the remaining carbon quota processable status corresponding to the remaining period is implemented.

5. The machine learning-based carbon asset management system according to claim 4, characterized in that: When analyzing the regulatory status of the remaining carbon quotas for all remaining periods of the enterprise's carbon assets, the overall use mark is used through the formula Calculate and obtain the remaining carbon quota supervision value ZJ corresponding to all remaining periods of the enterprise; where k is 1 or 2; Lk is L1 or L2; N1 is the total number of different used periods of the used carbon quota; YYi´ is the estimated quota for the stage corresponding to different remaining periods, i´ is different remaining periods, i´={1, 2, 3, ..., N}; N is a positive integer; N is the total number of different remaining periods of unused carbon quotas.

6. The machine learning-based carbon asset management system according to claim 5, characterized in that: Conduct data analysis on the remaining carbon quota regulatory values; If the remaining carbon quota supervision value is 0, a normal instruction for the remaining excess is generated and the existing phase carbon quota usage plan is maintained; If the remaining carbon quota supervision value is greater than 0, a remaining excess exception instruction is generated and the corresponding carbon asset first management plan or second management plan is implemented.

7. The machine learning-based carbon asset management system according to claim 6, characterized in that: The first management plan or the second management plan corresponding to the carbon assets is respectively the optimized management of the remaining utilization of the carbon assets or the optimized management of the excessive treatment of the carbon assets.

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