Enterprise carbon emission accounting management method and system

Abstract

The invention discloses an enterprise carbon emission accounting management method and system, and belongs to the field of environmental technology management, and the system comprises an energy consumption input module, a judgment module, an early warning module, and a dynamic reference value adjustment and carbon emission management module. A carbon emission reference value is adjusted in real time based on historical data and actual carbon emission, instant feedback and closed-loop management of excessive emission are realized in combination with a short message early warning mechanism, and carbon emission judgment is performed according to actual carbon emission change to realize real-time updating of carbon emission management. The dynamic reference value is adjusted by taking one quarter as a unit when the judgment result is that the carbon emission exceeds the standard, and the carbon emission judgment module is introduced through the dynamic reference value, so that the problem of tedious steps of data repeated calculation can be solved, and the problem of timeliness can be solved.

Description

Technical Field

[0001] The present invention belongs to the field of environmental technology management, and specifically relates to a method and system for enterprise carbon emission accounting management. Background Art

[0002] Enterprise carbon emission accounting management refers to a series of measures taken by enterprises to respond to climate change and reduce greenhouse gas emissions, including statistical, accounting, analysis, and management of carbon emissions. It has the significance of understanding the current situation of carbon emissions, identifying emission reduction potential, enhancing the corporate image, and coping with policy pressure.

[0003] A Chinese patent with the publication number CN113554313A discloses a system for enterprise carbon emission accounting and rapid verification. The system consists of five modules: an enterprise data filling module, a carbon emission accounting module, a data verification module, a supplementary certification material module, and a data storage and analysis module. While quickly accounting for enterprise carbon emission data, the present invention provides a rapid verification method for enterprise carbon emission data through the synergistic effect of carbon emissions, enterprise output, and air pollutants to verify the enterprise carbon emission data.

[0004] However, the existing relevant standards and methods for enterprise carbon emission accounting management mainly involve collecting, statistics, and recording relevant parameters of carbon emissions within the enterprise. This process involves the calculation of enterprise carbon emission baseline values. Affected by the lag of technological progress and innovation and the inadaptability of market and economic environment changes, there are timeliness and dynamics problems with carbon emission baseline values. The existing technology only relies on historical means, resulting in inappropriate formulation of emission reduction targets and increased supervision difficulties, making enterprises lack sufficient motivation and pressure in emission reduction and being unfavorable to the sustainable development of enterprises.

[0005] In view of the above, the present case proposes a method and system for enterprise carbon emission accounting management to solve the above technical problems by adding... Summary of the Invention

[0006] The present invention aims to solve at least one of the technical problems existing in the prior art. For this purpose, the present invention proposes a method and system for enterprise carbon emission accounting management to solve the above technical problems by improving the detection method and processing method.

[0007] To achieve the above object, the present invention adopts the following technical solutions:

[0008] A method and system for enterprise carbon emission accounting management includes an energy consumption input module, a determination module, an early warning module, a dynamic baseline value adjustment, and a carbon emission management module. The energy consumption input module is used to collect and collate various energy consumptions and electricity consumption of the enterprise in each month of the past three years and the current month, and preliminarily formulate a carbon emission baseline value based on historical means. The output of the energy consumption input module is connected to the determination module.

[0009] The determination module is used to compare the carbon emissions of the current month with the carbon emission baseline value to determine whether the carbon emissions exceed the standard;

[0010] The warning module formulates warning information based on the determination result of the carbon emissions of the current month and synchronizes the warning information to the dynamic baseline value adjustment and carbon emission management module;

[0011] The dynamic baseline value adjustment calculates and updates the carbon emission baseline value in real time based on the weighted average of the actual carbon emissions and historical carbon emission data. The output of the dynamic baseline value adjustment is connected to the determination module;

[0012] The carbon emission management module receives the warning information, automatically triggers a production restriction order, and controls the input and output of the enterprise's energy consumption.

[0013] Furthermore, the energy consumption input module is used to collect and collate various types of energy consumption and electricity consumption of the enterprise in each month of the past three years and the current month, and preliminarily formulate the carbon emission baseline value based on the historical average. The specific steps are as follows:

[0014] The energy consumption input module includes calculating the carbon emissions of various types of energy consumption and the carbon emissions of electricity consumption of the enterprise in each month of the past three years and the current month. The specific calculation is as follows:

[0015] For each type of energy consumed by the enterprise, calculate the carbon emissions according to its consumption and the corresponding carbon emission factor. The calculation formula is:

[0016]

[0017] Where E 能 is the total carbon emissions, Q i is the consumption of the i-th type of energy, EF i is the carbon emission factor of the i-th type of energy, and n is the number of energy types.

[0018] Calculate according to the electricity consumption of the enterprise and the electricity emission factor. The calculation formula is:

[0019] E 电 =Q 电 ×EF 电 ,

[0020] Where E 电 is the carbon emissions of electricity consumption, Q 电 is the electricity consumption (in megawatt-hours), and EF 电 is the electricity emission factor.

[0021] Add the carbon emissions of various types of energy consumption and the carbon emissions of electricity consumption to obtain the total carbon emissions of the enterprise: E = E 能 +E 电 .

[0022] The carbon emission baseline value is initially set based on historical averages, and the calculation formula is: EJ i =(A i +B i +C i )÷3,

[0023] where EJ i is the initially set carbon emission baseline value for the i-th month, and A i , B i and C i are the total carbon emissions in the i-th month of the first, second, and third historical years.

[0024] Furthermore, the determination module is used to compare the carbon emissions of the current month with the carbon emission baseline value to determine whether the carbon emissions exceed the standard:

[0025] Based on the carbon emissions of the current month and the carbon emission baseline value, it is obtained that:

[0026] When E i ≤EJ i , it means that the carbon emissions of the current month are less than or equal to the carbon emission baseline value, and the carbon emissions do not exceed the standard;

[0027] When E i >EJ i , it means that the carbon emissions of the current month are greater than the carbon emission baseline value, and the carbon emissions exceed the standard.

[0028] Furthermore, the warning module formulates warning information based on the determination result of the carbon emissions of the current month, and synchronizes the warning information to the dynamic baseline value adjustment and carbon emission management module. The specific steps are as follows:

[0029] When the determination result of the carbon emissions of this month is E i >EJ i , warning information is immediately formulated, and in the form of a text message notification, the data of various energy consumptions, electricity consumption, and carbon emissions of the current month are respectively transmitted to the data interfaces of the dynamic baseline value adjustment and carbon emission management module within five minutes.

[0030] Furthermore, the dynamic baseline value adjustment calculates and updates the carbon emission baseline value in real time based on the weighted average of the actual carbon emissions and historical carbon emission data. The output of the dynamic baseline value adjustment is connected to the determination module. The specific steps are as follows:

[0031] According to the carbon emissions in the i-th historical period and its corresponding weighted coefficient, calculate the weighted average of the historical carbon emission data. The calculation formula is:

[0032]

[0033] where Ei The historical carbon emissions for the ith period, W i The weighting coefficient for the ith period, The weighted average of historical carbon emission data, where n is the number of historical periods included in the calculation;

[0034] Adjust the carbon emission benchmark value in combination with the actual carbon emissions. The calculation formula is:

[0035]

[0036] where r is the established actual carbon emission target of the enterprise.

[0037] 7. Further, the carbon emission management module receives the warning information, automatically triggers the production restriction instruction, and controls the input and output of the enterprise's energy consumption. The specific steps are as follows:

[0038] After receiving the warning information, control the input and output of energy consumption according to the production restriction instruction and the enterprise's energy consumption demand, including reducing the procurement volume of coal-based energy, increasing the procurement volume of natural gas energy, controlling the production speed of products, and reducing the total carbon emissions per unit time.

[0039] An enterprise carbon emission accounting and management method, which specifically includes the following steps:

[0040] S1. Calculate the carbon emissions E of various energy consumptions of the enterprise for each month in the past three years and the current month 能 and the carbon emissions E of electricity consumption 电 , and calculate the total carbon emissions E of the enterprise based on the carbon emissions E of various energy consumptions 能 and the carbon emissions E of electricity consumption 电 . Initially formulate the carbon emission benchmark value EJ based on the historical average value i ;

[0041] S2. Compare the carbon emissions E of the current month i with the carbon emission benchmark value EJ i to determine whether the carbon emissions E of the enterprise in the current month i exceed the standard;

[0042] S3. When the determination result of the carbon emissions in the current month is E i > EJ i , immediately formulate a warning information, and in the way of SMS notification, transmit the data of various energy consumptions, electricity consumption, and carbon emissions in the current month to the data interfaces of the dynamic benchmark value adjustment and carbon emission management module within five minutes;

[0043] S4. Calculate the weighted average of historical carbon emission data according to the carbon emissions in the historical ith period and its corresponding period's weighting coefficient, and adjust the carbon emission benchmark value EJ in combination with the actual carbon emissions;

[0044] S5. After receiving the early warning information, control the input and output of energy consumption according to the production restriction order and the enterprise's energy consumption demand, including reducing the procurement volume of coal-based energy, increasing the procurement volume of natural gas energy, controlling the production speed of products, and reducing the total carbon emissions per unit time.

[0045] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0046] 1. In the present invention, by collecting and sorting out various energy consumptions and electricity consumption of the enterprise in each month of the past three years, calculating the carbon emissions of various energy consumptions, the carbon emissions of electricity consumption, the total carbon emissions, and the carbon emission benchmark value, it can intuitively reflect the carbon emission capacity and comprehensive carbon emission trend of each historical month, so as to explore the energy utilization potential of the current month and formulate a carbon emission management method;

[0047] 2. In the present invention, an early warning information is formulated according to the carbon emission determination result of the current month, and the early warning information is synchronized to the enterprise production control system. The production control system further controls the input and output of energy consumption, including reducing the procurement volume of coal-based energy, increasing the procurement volume of natural gas energy, controlling the production speed of products, and reducing the total carbon emissions per unit time. By adjusting the production plan, it ensures that the carbon emissions are more in line with the environmental protection requirements and the concept of sustainable development;

[0048] 3. In the present invention, the carbon emission benchmark value is adjusted in real time based on historical data and actual carbon emissions, and combined with the SMS early warning mechanism, it realizes the instant feedback and closed-loop management of excessive emissions. The carbon emission determination is carried out according to the change of actual carbon emissions to realize the real-time update of carbon emission management. When the determination result shows that the carbon emissions exceed the standard, the dynamic benchmark value is adjusted on a quarterly basis. By introducing the carbon emission determination module with the dynamic benchmark value, it can not only solve the problem of cumbersome data repeated calculation steps, but also solve the timeliness problem. Description of the Drawings

[0049] Figure 1 It is a block diagram of an enterprise carbon emission accounting management method and system of the present invention. Detailed Embodiments

[0050] The technical solutions of the present invention will be described clearly and completely below in conjunction with the embodiments. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative work shall fall within the protection scope of the present invention.

[0051] Embodiment 1:

[0052] As Figure 1As shown in the figure, an enterprise carbon emission accounting management system includes an energy consumption input module, a judgment module, an early warning module, a dynamic baseline value adjustment module, and a carbon emission management module. The energy consumption input module is used to collect and collate various types of energy consumption and electricity consumption of the enterprise in the past three years and the current month, and initially formulate a carbon emission baseline value based on historical averages. The output of the energy consumption input module is connected to the judgment module.

[0053] The judgment module is used to compare the carbon emissions of the current month with the carbon emission baseline value to determine whether the carbon emissions exceed the standard.

[0054] The early warning module formulates early warning information based on the judgment result of the carbon emissions of the current month, and synchronizes the early warning information to the dynamic baseline value adjustment and carbon emission management modules.

[0055] The dynamic baseline value adjustment module calculates and updates the carbon emission baseline value in real time based on the actual carbon emissions and the weighted average of historical carbon emission data. The output of the dynamic baseline value adjustment module is connected to the judgment module.

[0056] The carbon emission management module receives the early warning information, automatically triggers a production restriction order, and controls the input and output of the enterprise's energy consumption.

[0057] In this embodiment, the energy consumption input module is used to collect and collate various types of energy consumption and electricity consumption of the enterprise in the past three years and the current month, and initially formulate a carbon emission baseline value based on historical averages. The specific steps are as follows:

[0058] The energy consumption input module calculates the carbon emissions of various types of energy consumption and the carbon emissions of electricity consumption of the enterprise in the past three years and the current month. The specific calculation is as follows:

[0059] For each type of energy consumed by the enterprise, calculate the carbon emissions according to its consumption and the corresponding carbon emission factor. The calculation formula is:

[0060]

[0061] Where E 能 is the total carbon emissions, Q i is the consumption of the i-th type of energy, EF i is the carbon emission factor of the i-th type of energy, and n is the number of energy types.

[0062] For example, if an enterprise consumes 1000 tons of coal, 500 tons of gasoline, and 300,000 cubic meters of natural gas in a year, then the carbon emissions of coal are 1000×2.7725 = 2772.5 tons of carbon dioxide, the carbon emissions of gasoline are 500×2.355 = 1177.5 tons of carbon dioxide, and the carbon emissions of natural gas are 300000×2.162÷1000 = 648.6 tons of carbon dioxide.

[0063] Calculated based on the enterprise's electricity consumption and electricity emission factor, the calculation formula is:

[0064] E 电 =Q 电 ×EF 电 ,

[0065] where E 电 is the carbon emission of electricity consumption, Q 电 is the electricity consumption (unit: megawatt-hour), and EF 电 is the electricity emission factor.

[0066] For example: Suppose an enterprise consumes 500,000 kWh of electricity in a year, that is, 500 megawatt-hours, and the electricity emission factor is taken as 0.6 tons of carbon dioxide / megawatt-hour. Then the carbon emission of electricity consumption is 500×0.6 = 300 tons of carbon dioxide.

[0067] Add the carbon emissions of various energy consumptions and the carbon emissions of electricity consumption to obtain the total carbon emissions of the enterprise: E = E 能 +E 电 .

[0068] Based on the historical average value, initially formulate the carbon emission benchmark value, and the calculation formula is: EJ i =(A i +B i +C i )÷3,

[0069] where EJ i is the initially formulated carbon emission benchmark value for the i-th month, and A i , B i and C i are the total carbon emissions of the i-th month in the first, second, and third years of history.

[0070] It should be noted that: Different energy sources have different carbon emission factors. For example, fossil energy sources such as coal, oil, and natural gas have relatively high carbon emission factors, while renewable energy sources such as solar energy and wind energy have relatively low carbon emission factors or even zero. The carbon emission factors of common energy sources are as follows:

[0071] Coal: The carbon emission factor of general bituminous coal is about 2.7725 tons of carbon dioxide / ton of standard coal.

[0072] Oil: The carbon emission factor of gasoline is about 2.355 tons of carbon dioxide / ton, and that of diesel is about 2.634 tons of carbon dioxide / ton.

[0073] Natural gas: The carbon emission factor is about 2.162 tons of carbon dioxide / cubic meter.

[0074] The carbon emission factor of electricity depends on the source structure of electricity. For grid electricity, its emission factor varies according to the energy structure of the local grid. The latest electricity emission factor data released by the local grid can be referred to. Generally speaking, the emission factor of the mixed electricity of the Chinese grid is about 0.55 - 0.65 tons of carbon dioxide per megawatt-hour.

[0075] The carbon emissions E of various energy consumptions 能 , the carbon emissions E of electricity consumption 电 and the total carbon emissions E and the carbon emission benchmark value EJ i can reflect the historical monthly carbon emission capacity and the comprehensive carbon emission trend, discover the potential of energy utilization in the current month, so as to formulate carbon emission reduction measures and optimize the carbon emission management method, and ensure that the carbon emission is more in line with the environmental protection requirements and the concept of sustainable development.

[0076] In this embodiment, the determination module is used to compare the carbon emissions of the current month with the carbon emission benchmark value to determine whether the carbon emissions exceed the standard:

[0077] Based on the carbon emissions of the current month and the carbon emission benchmark value, it can be obtained that:

[0078] When E i ≤EJ i it means that the carbon emissions of the current month are less than or equal to the carbon emission benchmark value, and the carbon emissions do not exceed the standard;

[0079] When E i >EJ i it means that the carbon emissions of the current month are greater than the carbon emission benchmark value, and the carbon emissions exceed the standard.

[0081] It should be noted that: by comparing the carbon emissions E of the current month i with the carbon emission benchmark value EJ i , it can be judged whether the carbon emissions of the current month exceed the standard according to the comparison result. When E i ≤EJ i it means that the carbon emissions do not exceed the standard, and the system adjusts the dynamic benchmark value on a quarterly basis. When E i >EJ i it means that the carbon emissions exceed the standard, and the system will timely collect and sort out the carbon emissions E of various energy consumptions in the current month 能 , the carbon emissions E of electricity consumption 电 and the total carbon emissions E.

[0082] In this embodiment, the warning module formulates warning information based on the carbon emission determination result of the current month and synchronizes the warning information to the dynamic benchmark value adjustment and carbon emission management module. The specific steps are as follows:

[0083] When the carbon emission determination result for this month is E i >EJ i immediately formulate a warning message and, in the form of a text message notification, transmit the data of various types of energy consumption, electricity consumption, and carbon emissions for the current month to the data interfaces of the dynamic benchmark value adjustment and carbon emission management modules within five minutes.

[0084] It should be noted that: This system has a further data feedback interface for synchronizing the warning message to the enterprise production control system. The production control system controls the input and output of energy consumption, specifically the input of various types of energy and the production speed of products. After receiving the warning message, the production control system automatically triggers a production restriction order, where the warning message includes the carbon emissions E of various types of energy consumption for the current month 能 , the carbon emissions E of electricity consumption 电 and the total carbon emissions E, facilitating the adjustment of the dynamic benchmark value;

[0085] In this embodiment, the adjustment of the dynamic benchmark value is based on the weighted average of the actual carbon emissions and historical carbon emission data, and the carbon emission benchmark value is calculated and updated in real time. The output of the dynamic benchmark value adjustment is connected to the determination module. The specific steps are as follows:

[0086] Calculate the weighted average of historical carbon emission data based on the historical carbon emissions of the i-th period and their corresponding weighted coefficients. The calculation formula is:

[0087]

[0088] where E i is the historical carbon emissions of the -th period, W i is the weighted coefficient for the -th period, is the weighted average of historical carbon emission data, and n is the number of historical periods included in the calculation;

[0089] Adjust the carbon emission benchmark value in combination with the actual carbon emissions. The calculation formula is:

[0090]

[0091] where r is the established actual carbon emission target of the enterprise.

[0092] It should be noted that: The determination of the weight is usually determined according to specific circumstances. For example, the weight can be determined based on the proximity in time. The more recent the data, the greater its reference value for the current situation, and the higher the weight assigned; the weight can also be determined based on factors such as the importance of the data and the reliability of the data source. When determining the weighted coefficient, assuming the current time as the benchmark, for the data of the n-th year in the past, its weighted coefficient W n can be calculated according to the formula For example, for the data of last year, n = 1, and the weighted coefficient is The data of the year before last is n = 2, and the weighting coefficient is And so on. This exponentially decaying method can highlight the importance of recent data.

[0093] Embodiment 2:

[0094] The enterprise carbon emission accounting management method of the present invention is specifically as follows:

[0095] S1. Calculate the carbon emissions E of various energy consumptions of the enterprise for each month in the recent three years and the current month, 能 and the carbon emissions E of electricity consumption, 电 Based on the carbon emissions E of various energy consumptions 能 and the carbon emissions E of electricity consumption, 电 Calculate the total carbon emissions E of the enterprise, and initially set the carbon emission benchmark value EJ based on the historical average value. i ;

[0096] S2. Compare the carbon emissions E of the current month i with the carbon emission benchmark value EJ i to determine whether the carbon emissions E of the enterprise in the current month i exceed the standard;

[0097] S3. When the determination result of the carbon emissions in this month is E i > EJ i Immediately formulate a warning message, and in the way of SMS notification, transmit the data of various energy consumptions, electricity consumption and carbon emissions in the current month to the data interfaces of the dynamic benchmark value adjustment and carbon emission management module within five minutes;

[0098] S4. Calculate the weighted average value of historical carbon emission data according to the carbon emissions in the historical i-th period and its corresponding weighting coefficient, and adjust the carbon emission benchmark value EJ in combination with the actual carbon emissions;

[0099] S5. After receiving the warning message, control the input and output of energy consumption according to the production restriction order and the energy consumption demand of the enterprise, reduce the purchase volume of coal-based energy, increase the purchase volume of natural gas energy, control the production speed of products, and reduce the total carbon emission amount per unit time.

[0100] The present invention realizes the real-time adjustment of the carbon emission threshold based on historical data and actual carbon emissions through the dynamic benchmark value module, and combines the SMS warning mechanism to achieve the instant feedback and closed-loop management of excessive emissions.

[0101] Example: After a steel mill uses this system, the carbon emission intensity drops by 15%, the dynamic adjustment frequency of the benchmark value is increased to once a month. After the benchmark value is adjusted from 1.2 million tons to 1.1 million tons, the emissions in the next month drop to 1.05 million tons.

[0102] In the embodiments provided by the present invention, it should be understood that the disclosed devices, apparatuses, and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of modules is only a logical function division, and there can be other division methods in actual implementation; 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 units, that is, they can be located in one place or distributed to multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the method of this embodiment.

[0103] The above embodiments are only used to illustrate the technical methods of the present invention and not to limit them. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical methods of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical methods of the present invention.

Claims

1. An enterprise carbon emission accounting and management system, characterized by: It includes energy consumption entry module, determination module, early warning module, dynamic baseline value adjustment and carbon emission management module; The energy consumption entry module is used to collect and organize the various energy consumption and electricity consumption of the enterprise every month and the current month in the past three years, and preliminarily formulate a carbon emission benchmark value based on the historical average. The output of the energy consumption entry module is connected to the determination module; The determination module is used to compare the carbon emissions of the current month with the carbon emissions benchmark value to determine whether the carbon emissions exceed the standard; The early warning module formulates early warning information based on the carbon emission determination result of the current month, and synchronizes the early warning information to the dynamic baseline value adjustment and carbon emission management module; The dynamic baseline value adjustment is based on the weighted average of the actual carbon emissions and historical carbon emissions data to calculate and update the carbon emission baseline value in real time, and the output of the dynamic baseline value adjustment is connected to the determination module; The carbon emission management module receives warning information, automatically triggers production restriction instructions, and controls the input and output of the enterprise's energy consumption.

2. The enterprise carbon emission accounting and management system according to claim 1 is characterized by: The energy consumption entry module is used to collect and organize the various energy consumption and electricity consumption of the enterprise every month and the current month in the past three years, and preliminarily formulate the carbon emission benchmark value based on the historical average. The specific steps are as follows: The energy consumption entry module includes calculating the carbon emissions of various energy consumption and electricity consumption of the enterprise every month in the past three years and the current month. The specific calculation is as follows: For each type of energy consumed by the enterprise, the carbon emissions are calculated based on its consumption and the corresponding carbon emission factor. The calculation formula is: Where E 能 is the total carbon emissions, Q i is the consumption of the i-th energy source, EF i is the carbon emission factor of the i-th energy source, and n is the number of energy types. The calculation formula is based on the enterprise's electricity consumption and electricity emission factor: E 电 =Q 电 ×EF 电 , Where E 电 is the carbon emissions from electricity consumption, Q 电 is the electricity consumption (in MWh), EF 电 is the electricity emission factor. Add the carbon emissions of various energy consumption and electricity consumption to get the total carbon emissions of the enterprise: E = E 能 +E 电 . The carbon emission benchmark value is initially formulated based on the historical average, and the calculation formula is: EJ i =(A i +B i +C i )÷3, EJ i To preliminarily establish the carbon emission baseline value for month i, A i , B i and C i is the total carbon emissions in the i-th month of the first, second and third years of history.

3. The enterprise carbon emission accounting and management system according to claim 2 is characterized by: The determination module is used to compare the carbon emissions of the current month with the carbon emissions benchmark value to determine whether the carbon emissions exceed the standard: Based on the carbon emissions of the month and the carbon emissions benchmark value: When E i ≤EJ i When , it means that the carbon emissions for that month are less than or equal to the carbon emissions benchmark value, and the carbon emissions are within the standard; When E i >EJ i When , it means that the carbon emissions for that month are greater than the carbon emissions baseline value and the carbon emissions exceed the standard.

4. The enterprise carbon emission accounting and management system according to claim 3 is characterized by: The early warning module formulates early warning information based on the carbon emission determination result of the month, and synchronizes the early warning information to the dynamic baseline value adjustment and carbon emission management module. The specific steps are as follows: When the carbon emission result for this month is E i >EJ i When an emergency occurs, early warning information will be immediately prepared and SMS notification will be used to transmit the various energy consumption, electricity consumption and carbon emission data of the month to the dynamic baseline adjustment and carbon emission management module data interfaces within five minutes.

5. The enterprise carbon emission accounting and management system according to claim 2 is characterized by: The dynamic baseline value adjustment is based on the weighted average of the actual carbon emissions and historical carbon emissions data to calculate and update the carbon emission baseline value in real time. The output of the dynamic baseline value adjustment is connected to the determination module. The specific steps are as follows: According to the historical carbon emissions in the i-th period and the weighted coefficient of its corresponding period, the weighted average of historical carbon emissions data is calculated. The calculation formula is: Where E i is the historical carbon emissions in the first period, W i is the weighting coefficient for the period, is the weighted average of historical carbon emission data, and n is the number of historical periods included in the calculation; The carbon emission baseline value is adjusted based on the actual carbon emissions. The calculation formula is: Where r is the actual carbon emissions target set by the enterprise.

6. The enterprise carbon emission accounting and management system according to claim 4, characterized in that: The carbon emission management module receives warning information, automatically triggers production restriction instructions, and controls the input and output of the enterprise's energy consumption. The specific steps are as follows: After receiving the early warning information, the input and output of energy consumption are controlled according to the production restriction instructions and the company's energy consumption needs, including reducing the purchase of coal energy, increasing the purchase of natural gas energy, controlling the production speed of products, and reducing the total carbon emissions per unit time.

7. A method for enterprise carbon emission accounting management, characterized in that: The method adopts the enterprise carbon emission accounting management method as described in any one of claims 1 to 7, The following steps are involved: S1. Calculate the carbon emissions of various energy consumption of the enterprise every month in the past three years and this month. 能 and carbon emissions from electricity consumption E 电 , based on carbon emissions E of various energy consumption 能 and carbon emissions from electricity consumption E 电 Calculate the company's total carbon emissions E, and preliminarily establish a carbon emissions benchmark value EJ based on historical averages i ; S2. Based on the carbon emissions E of the month i Compared with the carbon emission benchmark value EJ i Compare and determine the carbon emissions of the enterprise in that month i Whether it exceeds the standard; S3. When the carbon emission result for this month is E i >EJ i When a warning message is received, the system will immediately formulate early warning information and send the data of various energy consumption, electricity consumption and carbon emission of the month to the data interface of dynamic baseline adjustment and carbon emission management module respectively within five minutes by SMS notification; S4. Calculate the weighted average of historical carbon emission data based on the historical carbon emission of period i and the weighted coefficient of its corresponding period, and adjust the carbon emission benchmark value EJ in combination with the actual carbon emission; S5. After receiving the early warning information, control the input and output of energy consumption according to the production restriction instructions and the energy consumption needs of the enterprise, including reducing the purchase of coal energy, increasing the purchase of natural gas energy, controlling the production speed of products, and reducing the total carbon emissions per unit time.

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