Electric power carbon emission cooperative monitoring and tracing method and system

Abstract

The invention relates to the technical field of carbon emission monitoring, in particular to an electric power carbon emission cooperative monitoring and tracing method and system, and the method comprises the steps: carrying out the distribution of the actual carbon emission responsibility of each production unit based on the real-time power consumption data of each production unit in a park, and obtaining a carbon emission responsibility distribution result; obtaining an industrial chain linkage carbon emission fluctuation interval by using production association information between upstream and downstream production units of the industrial chain; the carbon emission responsibility allocation result is corrected according to the industrial chain linkage carbon emission fluctuation interval, and cooperative carbon emission correction responsibility data is obtained; carrying out collaborative carbon cost balance based on the collaborative carbon emission correction responsibility data, and generating a carbon cost distribution proportion; and according to the real-time production mode adjustment information fed back after the execution of the carbon cost distribution proportion, power carbon emission abnormity tracking is carried out to obtain power carbon emission traceability data. According to the invention, through industrial chain collaborative correction and a carbon cost feedback mechanism, dynamic and accurate distribution of electric power carbon emission responsibility and rapid positioning of an abnormal source are realized.

Description

Technical Field

[0001] The present invention relates to the technical field of carbon emission monitoring, and in particular to a method and system for collaborative monitoring and tracing of power carbon emissions. Background Art

[0002] Against the backdrop of global efforts to promote low-carbon industrial development, accounting for carbon emissions generated by electricity consumption is a core issue in environmental management. Export-oriented industrial parks face more complex challenges in carbon emission monitoring due to their large production scale and close collaboration among enterprises. Existing technologies generally use static accounting models that are difficult to cope with the carbon emission allocation problems brought about by dynamic electricity sharing and industrial chain collaboration among enterprises, resulting in significant deviations between accounting results and actual emissions.

[0003] The current electricity emission monitoring system lacks an effective response mechanism for the dynamic allocation of electricity resources within the industrial park. Enterprises in industrial clusters usually share power infrastructure such as substations and distributed energy systems. The electricity consumption ratio between enterprises will change in real time due to production plan adjustments, equipment start-up and shutdown, or energy efficiency optimization. However, the existing accounting models are mostly based on fixed allocation coefficients or historical averages, which cannot capture the impact of real-time electricity consumption redistribution on carbon emission responsibility. For example, when an enterprise occupies more shared electricity due to temporary production increases, its excess emissions are often evenly distributed or misattributed, resulting in distorted carbon cost allocation; secondly, the carbon emission linkage effect of the upstream and downstream of the industrial chain has not been fully quantified, and the carbon emission distribution within the industrial park is not accurately quantified. Enterprises form a close production network through links such as raw material supply and semi-finished product processing. Changes in electricity consumption in a certain link will produce a chain reaction through product delivery. The existing technology lacks the granularity to monitor supply chain collaboration indicators, resulting in a broken chain phenomenon when tracing the carbon footprint. A typical manifestation is that when upstream enterprises increase the proportion of clean electricity use, downstream enterprises should reduce their indirect emission responsibilities accordingly. However, the existing system lacks a dynamic tracking path and cannot automatically update the carbon emission data of related enterprises. Therefore, there is an urgent need for an electricity emission monitoring method that can track changes in electricity distribution in real time and quantify the emission linkage effects of the industrial chain to provide a technical basis for precise carbon management of industrial clusters. Summary of the Invention

[0004] In order to solve the above technical problems, the present invention provides a method and system for collaborative monitoring and tracing of electricity carbon emissions.

[0005] In a first aspect, the present invention provides a method for collaborative monitoring and tracing of power carbon emissions, the method comprising the following steps: Based on the real-time electricity consumption data of each production unit in the park, calculate the actual electricity consumption ratio and basic carbon emissions of each production unit during the accounting period; Allocate the actual carbon emission responsibility of each production unit according to the actual electricity consumption ratio and the basic carbon emissions to obtain a carbon emission responsibility allocation result; The production linkage information between upstream and downstream production units in the industrial chain is used to conduct linkage analysis of the industrial chain carbon footprint, and the fluctuation range of the industrial chain linkage carbon emissions is obtained; The carbon emission responsibility allocation result is corrected according to the fluctuation range of the industrial chain linkage carbon emissions and the real-time production load data of each production unit to obtain the coordinated carbon emission correction responsibility data; Performing collaborative carbon cost balancing based on the collaborative carbon emission correction responsibility data to generate a carbon cost allocation ratio for each production unit; According to the real-time production mode adjustment information and power consumption change data fed back after the execution of the carbon cost allocation ratio, power carbon emission anomalies are tracked to obtain power carbon emission traceability data.

[0006] In a further embodiment, the step of calculating the actual power consumption ratio and basic carbon emissions of each production unit during the accounting period based on the real-time power consumption data of each production unit in the park includes: Based on the real-time power consumption data of each production unit in the park, the total power consumption of each production unit during the accounting period is calculated; Summing the total power consumption of each production unit during the accounting period to obtain the total power consumption of the park during the accounting period; According to the ratio of the total power consumption of each production unit in the accounting period to the total power consumption of the park, the actual power consumption ratio of each production unit is obtained; Based on the total electricity consumption of each production unit during the accounting period and the preset electricity carbon emission factor, the basic carbon emissions generated by electricity consumption of each production unit during the accounting period are calculated.

[0007] In a further embodiment, the step of allocating the actual carbon emission responsibility of each production unit according to the actual electricity consumption ratio and the basic carbon emission amount to obtain the carbon emission responsibility allocation result includes: Based on the actual power consumption ratio of each production unit and the preset park power consumption threshold, screen out high-load production units whose actual power consumption ratio exceeds the preset park power consumption threshold; Calculate the excess consumption ratio of each high-load production unit that exceeds the preset park power consumption threshold, and construct an inverse proportional correction coefficient using the excess consumption ratio as a weight; Using the basic carbon emissions as the initial carbon emission responsibility, the initial carbon emission responsibility of the high-load production unit is reduced according to the inverse proportional correction coefficient, and the reduced carbon emission responsibility of the high-load production unit is proportionally increased to other production units that do not exceed the preset park power consumption threshold; Summarize the adjusted carbon emission responsibilities of all production units to obtain the carbon emission responsibility allocation results of each production unit.

[0008] In a further embodiment, the steps of reducing the initial carbon emission responsibility of the high-load production unit according to the inverse proportional correction coefficient and proportionally increasing the reduced carbon emission responsibility of the high-load production unit to other production units that do not exceed the preset park power consumption threshold include: Performing a reduction calculation on the responsibility of each high-load production unit based on the initial carbon emission responsibility of the high-load production unit and the inverse proportional correction coefficient to obtain the reduced carbon emission responsibility of each high-load production unit; Calculate the total reduced carbon emission responsibility of high-load production units based on the sum of the initial carbon emission responsibility of all high-load production units and the sum of the reduced carbon emission responsibility; The unit responsibility weight of each non-high-load unit is obtained based on the proportion of the initial carbon emission responsibility of each non-high-load production unit to the total initial carbon emission responsibility of non-high-load units; Allocate the total reduction responsibility amount to each non-high-load production unit according to the unit responsibility weight to obtain the unit increase responsibility amount of each non-high-load unit; Adding the initial carbon emission responsibility of each non-high-load production unit to the unit's increased responsibility to obtain the non-high-load unit responsibility; The carbon emission responsibility amount after the high-load production unit is reduced is summed up with the responsibility amount of the non-high-load unit to obtain the carbon emission responsibility allocation result.

[0009] In a further embodiment, the step of using the production correlation information between upstream and downstream production units in the industrial chain to perform industrial chain carbon footprint linkage analysis to obtain the fluctuation range of industrial chain linkage carbon emissions includes: Based on the park's supply chain management data, the upstream production unit code, downstream production unit code, transaction product category, and transaction quantity data of each production unit are extracted to construct an industrial chain topology network with production units as nodes and supply relationships as edges. Based on each supply relationship in the industry chain topology network, obtain the product supply output from the upstream production unit to the downstream production unit, as well as the unit product carbon emission intensity of the upstream production unit; Calculate the associated carbon emission transfer amount generated by each supply relationship based on the product supply volume and the carbon emission intensity per unit product; Accumulate the associated carbon emission transfer amounts corresponding to all input supply relationships of each production unit to obtain the corresponding total input transfer carbon emission amount; Along each supply relationship in the industrial chain topology network, the carbon emission change rate between adjacent nodes is calculated based on the total carbon emissions transmitted by the adjacent nodes; Extract the maximum and minimum values ​​of the carbon emission change rates between all adjacent nodes in a single supply relationship as the carbon emission fluctuation boundary of the corresponding supply relationship; The carbon emission fluctuation boundaries of all supply relationships are counted, and the highest value in the carbon emission fluctuation boundary is used as the upper limit of the industrial chain linkage carbon emission fluctuation range, and the lowest value in the carbon emission fluctuation boundary is used as the lower limit of the industrial chain linkage carbon emission fluctuation range, to obtain the industrial chain linkage carbon emission fluctuation range.

[0010] In a further embodiment, the process of obtaining the carbon emission change rate is: Traverse each production unit in the industry chain topology network in turn, and take the currently traversed production unit as the target node; Searching the industrial chain topology network for a node that is directly connected to the target node and located upstream of the target node as an associated upstream node, and obtaining an associated carbon emission transfer amount output from the associated upstream node to the target node; Calculating the difference between the input transferred carbon emission amount of the target node and the associated carbon emission transferred amount to obtain a carbon emission transfer difference; The ratio of the carbon emission transfer difference to the associated carbon emission transfer amount is calculated to obtain the carbon emission change rate of the target node relative to the associated upstream node.

[0011] In a further embodiment, the step of correcting the carbon emission responsibility allocation result according to the industrial chain linkage carbon emission fluctuation range and the real-time production load data of each production unit to obtain the coordinated carbon emission correction responsibility data includes: Based on the real-time production load data of each production unit, the ratio of the actual production load rate to the rated load rate in the current accounting period is calculated to generate a load correction coefficient; The upper and lower limits of the fluctuation range of the industrial chain linkage carbon emissions are used as the upper and lower limits of the allowable fluctuation boundary range for carbon emission responsibility correction; Extracting the apportioned responsibility amount of each production unit in the carbon emission responsibility apportionment result, and calculating the theoretical carbon emission baseline value based on the apportioned responsibility amount and the load correction coefficient; Calculating the relative deviation between the theoretical carbon emission baseline value and the apportioned responsibility amount to obtain a responsibility amount deviation degree; The production unit whose responsibility quantity deviation exceeds the upper and lower limits of the allowable fluctuation boundary range is regarded as the production unit to be corrected, and the average value of the load correction coefficient of the upstream and downstream production units associated with the production unit to be corrected is obtained to generate the associated load correction factor; Obtaining a correction weight of the production unit to be corrected according to a ratio between the deviation of the responsibility quantity and the length of the upper and lower limits of the allowable fluctuation boundary interval; Correcting the shared responsibility amount according to the associated load correction factor and the correction weight to obtain a collaborative correction responsibility amount; Based on the collaborative correction responsibility of all production units, collaborative carbon emission correction responsibility data is generated.

[0012] In a further embodiment, the step of performing collaborative carbon cost balancing based on the collaborative carbon emission correction responsibility data to generate a carbon cost allocation ratio for each production unit includes: Calculate the proportion of each production unit's collaborative correction responsibility to the park's total collaborative correction responsibility based on the collaborative carbon emission correction responsibility data to generate an initial responsibility weight; Calculate the average carbon emission intensity of the park industry for each production unit, and calculate the industry adjustment factor based on the average carbon emission intensity of the park industry and the actual output of each production unit; Calculate the mean of the industry adjustment factors of each production unit associated with the upstream and downstream production units to obtain a synergistic balance coefficient, and use the synergistic balance coefficient to synergistically balance the synergistic correction responsibility amount to obtain a balanced responsibility amount; The total balance responsibility of the park is obtained by summing up the balance responsibility of all production units, and the percentage of the balance responsibility of each production unit in the total balance responsibility of the park is calculated to obtain the carbon cost allocation ratio.

[0013] In a further embodiment, the step of tracking power carbon emission anomalies based on the real-time production mode adjustment information and power consumption change data fed back after executing the carbon cost allocation ratio to obtain power carbon emission traceability data includes: Based on the electricity consumption change data fed back after the implementation of the carbon cost allocation ratio, calculate the electricity consumption change rate of each production unit before and after the adjustment; The production unit whose power consumption change rate exceeds the preset power consumption fluctuation threshold is regarded as a power consumption abnormal unit, and the abnormal time period of the power consumption abnormal unit is obtained; Extracting key production adjustment parameters for units with abnormal power consumption from the real-time production mode adjustment information fed back after executing the carbon cost allocation ratio; the key production adjustment parameters include load adjustment amplitude, process switching type, and equipment start-up and shutdown frequency; Calculating the production mode correlation strength based on the production adjustment key parameter and the power consumption change rate, and identifying the production adjustment key parameter with the highest production mode correlation strength as the leading abnormal factor; The abnormal source of power carbon emissions is located according to the dominant abnormal factors and the abnormal time period, and power carbon emissions traceability data is generated.

[0014] In a second aspect, the present invention provides a system for collaborative monitoring and tracing of power carbon emissions, the system comprising: The electricity-carbon analysis module is used to calculate the actual electricity consumption ratio and basic carbon emissions of each production unit during the accounting period based on the real-time electricity consumption data of each production unit in the park; a responsibility allocation module, configured to allocate the actual carbon emission responsibility of each production unit according to the actual electricity consumption ratio and the basic carbon emission amount, and obtain a carbon emission responsibility allocation result; The linkage analysis module is used to use the production correlation information between upstream and downstream production units in the industrial chain to conduct linkage analysis of the industrial chain carbon footprint and obtain the fluctuation range of the industrial chain linkage carbon emissions; A responsibility correction module is used to correct the carbon emission responsibility allocation result according to the fluctuation range of the industrial chain linkage carbon emission and the real-time production load data of each production unit to obtain the coordinated carbon emission correction responsibility data; a collaborative balancing module, configured to perform collaborative carbon cost balancing based on the collaborative carbon emission correction responsibility data and generate a carbon cost allocation ratio for each production unit; The traceability module is used to track the abnormality of power carbon emissions based on the real-time production mode adjustment information and power consumption change data fed back after the execution of the carbon cost allocation ratio, and obtain power carbon emission traceability data.

[0015] The present invention provides a method and system for collaborative monitoring and tracing of electric power carbon emissions. The method calculates the actual electric power consumption ratio and basic carbon emissions of each production unit within a calculation period based on the real-time electric power consumption data of each production unit in a park; allocates the actual carbon emission responsibility of each production unit according to the actual electric power consumption ratio and the basic carbon emissions, and obtains the carbon emission responsibility sharing result; uses the production correlation information between upstream and downstream production units in the industrial chain to perform an industrial chain carbon footprint linkage analysis, and obtains the industrial chain linkage carbon emission fluctuation range; corrects the carbon emission responsibility sharing result according to the industrial chain linkage carbon emission fluctuation range and the real-time production load data of each production unit, and obtains collaborative carbon emission corrected responsibility data; performs collaborative carbon cost balancing based on the collaborative carbon emission corrected responsibility data, and generates the carbon cost allocation ratio of each production unit; tracks electric power carbon emission anomalies according to the real-time production mode adjustment information and electric power consumption change data fed back after the execution of the carbon cost allocation ratio, and obtains electric power carbon emission tracing data. Compared with existing technologies, this method achieves dynamic and accurate allocation of electricity carbon emission responsibilities and rapid positioning of abnormal sources through coordinated correction of the industrial chain and carbon cost feedback mechanism, thereby significantly improving the accuracy of electricity carbon emission monitoring and traceability timeliness, and providing a reliable basis for the park's electricity carbon emission management. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 This is a flow chart of a method for collaborative monitoring and tracing of power carbon emissions provided by an embodiment of the present invention; Figure 2 This is a block diagram of the power carbon emissions collaborative monitoring and tracing system provided by an embodiment of the present invention.

[0017] Explanation of the accompanying reference numerals: 101, electric carbon analysis module; 102, responsibility allocation module; 103, linkage analysis module; 104, responsibility correction module; 105, collaborative balance module; 106, traceability and tracking module. DETAILED DESCRIPTION

[0018] The following describes the embodiments of the present invention in detail with reference to the accompanying drawings. The embodiments are provided for illustrative purposes only and are not to be construed as limiting the present invention. The accompanying drawings are provided for reference and illustration only and do not constitute a limitation on the scope of protection of the present invention. Many changes may be made to the present invention without departing from the spirit and scope of the present invention.

[0019] Figure 1 This is a flow chart of a method for collaborative monitoring and tracing of power carbon emissions provided by an embodiment of the present invention. The embodiment of the present invention provides a method for collaborative monitoring and tracing of power carbon emissions, such as Figure 1 As shown, the method includes the following steps: S1. Based on the real-time electricity consumption data of each production unit in the park, calculate the actual electricity consumption ratio and basic carbon emissions of each production unit during the accounting period.

[0020] In some embodiments, the step of calculating the actual power consumption ratio and basic carbon emissions of each production unit during the accounting period based on the real-time power consumption data of each production unit in the park includes: Based on the real-time power consumption data of each production unit in the park, the total power consumption of each production unit during the accounting period is calculated; Summing the total power consumption of each production unit during the accounting period to obtain the total power consumption of the park during the accounting period; According to the ratio of the total power consumption of each production unit in the accounting period to the total power consumption of the park, the actual power consumption ratio of each production unit is obtained; Based on the total electricity consumption of each production unit during the accounting period and the preset electricity carbon emission factor, the basic carbon emissions generated by electricity consumption of each production unit during the accounting period are calculated.

[0021] In this embodiment, high-precision power monitoring instruments are installed at the key power equipment (such as distribution cabinets or power equipment access terminals) of each production unit in the park. These instruments can collect the power consumption data of each production unit in real time and accurately. The power consumption data includes parameters such as voltage, current and power, and perform data cleaning and preprocessing on the power consumption data. The preprocessing process includes checking the integrity and accuracy of the power consumption data, eliminating abnormal data and missing data caused by equipment failure, communication interference, etc. For missing data, this embodiment can use interpolation to fill it, and then the filled power consumption data is cleaned and preprocessed. Normalization processing is performed to facilitate subsequent calculations and analysis. In this embodiment, the real-time power consumption data of each production unit is accumulated according to the accounting period. Specifically, for each production unit, the power consumption within the time interval is recorded once every certain time interval (such as one minute), and then the power consumption within these time intervals is added together to obtain the total power consumption of the production unit within the accounting period. At the same time, this embodiment summarizes the total power consumption calculated by each production unit within the accounting period, calculates the sum of the total power consumption of each production unit within the accounting period, and obtains the total power consumption of the park.

[0022] For each production unit, this embodiment calculates the ratio of its total electricity consumption during the accounting period to the total electricity consumption of the park to obtain the actual electricity consumption ratio of the production unit. At the same time, this embodiment presets the electricity carbon emission factor based on the power source structure of the park (such as the proportion of thermal power generation, hydropower generation and wind power generation, etc.) and the carbon emission calculation standard. The electricity carbon emission factor represents the carbon emissions generated for each kilowatt-hour of electricity consumed. This embodiment multiplies the total electricity consumption of each production unit during the accounting period by the preset electricity carbon emission factor to obtain the basic carbon emissions generated by electricity consumption of the production unit during the accounting period. Through the above steps, this embodiment can accurately calculate the actual electricity consumption ratio and basic carbon emissions of each production unit during the accounting period based on the real-time electricity consumption data of each production unit in the park, providing basic data support for subsequent coordinated monitoring and tracing of electricity carbon emissions.

[0023] S2. Allocate the actual carbon emission responsibility of each production unit according to the actual electricity consumption ratio and the basic carbon emission amount to obtain a carbon emission responsibility allocation result.

[0024] In some embodiments, the step of allocating the actual carbon emission responsibility of each production unit according to the actual electricity consumption ratio and the basic carbon emissions to obtain a carbon emission responsibility allocation result includes: Based on the actual power consumption ratio of each production unit and the preset park power consumption threshold, screen out high-load production units whose actual power consumption ratio exceeds the preset park power consumption threshold; Calculate the excess consumption ratio of each high-load production unit that exceeds the preset park power consumption threshold, and construct an inverse proportional correction coefficient using the excess consumption ratio as a weight; Using the basic carbon emissions as the initial carbon emission responsibility, the initial carbon emission responsibility of the high-load production unit is reduced according to the inverse proportional correction coefficient, and the reduced carbon emission responsibility of the high-load production unit is proportionally increased to other production units that do not exceed the preset park power consumption threshold; Summarize the adjusted carbon emission responsibilities of all production units to obtain the carbon emission responsibility allocation results of each production unit.

[0025] Specifically, this embodiment compares the actual power consumption ratio of each production unit with the preset park power consumption threshold. If the actual power consumption ratio of a production unit is greater than the preset park power consumption threshold, the production unit is marked as a high-load production unit. For each high-load production unit, its actual power consumption ratio is subtracted from the preset park power consumption threshold to obtain the excess consumption ratio of the production unit that exceeds the preset park power consumption threshold, and the excess consumption ratio of each high-load production unit is used as a weight to construct an inverse proportional correction coefficient. Specifically, this embodiment takes the inverse of the excess consumption ratio of each high-load production unit to obtain the inverse proportional correction coefficient of the production unit. The purpose of this is to make the excess consumption ratio smaller. The higher the production unit, the smaller its inverse proportional correction coefficient is, and the less responsibility it bears in the subsequent carbon emission responsibility adjustment. In this embodiment, the basic carbon emissions of each high-load production unit are used as the initial carbon emission responsibility, and the initial carbon emission responsibility of the high-load production unit is reduced according to the inverse proportional correction coefficient, and the reduced carbon emission responsibility of the high-load production unit is proportionally increased to other production units that do not exceed the preset park power consumption threshold. In some embodiments, the steps of reducing the initial carbon emission responsibility of the high-load production unit according to the inverse proportional correction coefficient and proportionally increasing the reduced carbon emission responsibility of the high-load production unit to other production units that do not exceed the preset park power consumption threshold include: Performing a reduction calculation on the responsibility of each high-load production unit based on the initial carbon emission responsibility of the high-load production unit and the inverse proportional correction coefficient to obtain the reduced carbon emission responsibility of each high-load production unit; Calculate the total reduced carbon emission responsibility of high-load production units based on the sum of the initial carbon emission responsibility of all high-load production units and the sum of the reduced carbon emission responsibility; The unit responsibility weight of each non-high-load unit is obtained based on the proportion of the initial carbon emission responsibility of each non-high-load production unit to the total initial carbon emission responsibility of non-high-load units; Allocate the total reduction responsibility amount to each non-high-load production unit according to the unit responsibility weight to obtain the unit increase responsibility amount of each non-high-load unit; Adding the initial carbon emission responsibility of each non-high-load production unit to the unit's increased responsibility to obtain the non-high-load unit responsibility; The carbon emission responsibility amount after the high-load production unit is reduced is summed up with the responsibility amount of the non-high-load unit to obtain the carbon emission responsibility allocation result.

[0026] Specifically, after completing the screening of high-load production units and constructing the inverse proportional correction coefficient, this embodiment targets the responsibility reduction processing of high-load production units. According to the determined initial carbon emission responsibility of the high-load production units and the corresponding inverse proportional correction coefficient, the responsibility reduction calculation is performed on each high-load production unit. The specific calculation logic is to multiply the initial carbon emission responsibility of the high-load production unit by the inverse proportional correction coefficient. The result is the reduced carbon emission responsibility of the high-load production unit. After completing the reduction calculation of a single high-load production unit, the reduction amount summary calculation is then performed. In this embodiment, the initial carbon emission responsibility amounts of all high-load production units are added to obtain the total initial carbon emission responsibility amounts, and then the reduced carbon emission responsibility amounts of all high-load production units are added to obtain the total reduced carbon emission responsibility amounts. The total initial carbon emission responsibility amounts are then subtracted from the total reduced carbon emission responsibility amounts to obtain the total reduced responsibility amount of the high-load production units.

[0027] Regarding the responsibility increase processing of non-high-load production units, this embodiment distributes the total reduction responsibility amount to each non-high-load production unit according to the ratio of the initial carbon emission responsibility amount of the non-high-load production unit to the total initial carbon emission responsibility amount of the non-high-load units, so as to achieve an equal proportion increase in the responsibility amount. The specific process is to first calculate the unit responsibility weight of each non-high-load unit, that is, to divide the initial responsibility amount of each non-high-load production unit by the sum of the initial responsibility amounts of all non-high-load units to obtain the unit responsibility weight of the non-high-load unit. Then, this embodiment multiplies the total reduction responsibility amount by the unit responsibility weight of each non-high-load production unit. The result is the unit-adjusted responsibility weight of the non-high-load unit. Finally, the reduced responsibility of the high-load production unit and the increased responsibility of the non-high-load production unit are summarized to output the final carbon emission responsibility sharing result. Among them, the final responsibility of the high-load unit is the reduced carbon emission responsibility of each high-load production unit calculated previously, and the final responsibility of the non-high-load unit is the initial carbon emission responsibility of each non-high-load production unit plus the unit-adjusted responsibility. This embodiment realizes the coordinated redistribution of responsibility through the reduction of high-load unit responsibility and the increase of non-high-load unit responsibility.

[0028] S3. Use the production correlation information between upstream and downstream production units in the industrial chain to conduct an industrial chain carbon footprint linkage analysis to obtain the fluctuation range of industrial chain linkage carbon emissions.

[0029] In some embodiments, the step of using the production association information between upstream and downstream production units in the industrial chain to perform industrial chain carbon footprint linkage analysis to obtain the industrial chain linkage carbon emission fluctuation range includes: Based on the park's supply chain management data, the upstream production unit code, downstream production unit code, transaction product category, and transaction quantity data of each production unit are extracted to construct an industrial chain topology network with production units as nodes and supply relationships as edges. Based on each supply relationship in the industry chain topology network, obtain the product supply output from the upstream production unit to the downstream production unit, as well as the unit product carbon emission intensity of the upstream production unit; Calculate the associated carbon emission transfer amount generated by each supply relationship based on the product supply volume and the carbon emission intensity per unit product; Accumulate the associated carbon emission transfer amounts corresponding to all input supply relationships of each production unit to obtain the corresponding total input transfer carbon emission amount; Along each supply relationship in the industrial chain topology network, the carbon emission change rate between adjacent nodes is calculated based on the total carbon emissions transmitted by the adjacent nodes; Extract the maximum and minimum values ​​of the carbon emission change rates between all adjacent nodes in a single supply relationship as the carbon emission fluctuation boundary of the corresponding supply relationship; The carbon emission fluctuation boundaries of all supply relationships are counted, and the highest value in the carbon emission fluctuation boundary is used as the upper limit of the industrial chain linkage carbon emission fluctuation range, and the lowest value in the carbon emission fluctuation boundary is used as the lower limit of the industrial chain linkage carbon emission fluctuation range, to obtain the industrial chain linkage carbon emission fluctuation range.

[0030] After the initial park-level allocation of carbon emission responsibilities is completed, this embodiment conducts a linkage analysis of the carbon footprint of the industrial chain based on production-related information to ensure that subsequent revisions can reflect the true upstream and downstream impacts. Specifically, this embodiment extracts key information such as purchase orders and logistics records from the park's supply chain management data, obtains data such as the upstream supplier code, downstream customer code, transaction product category, and transaction quantity of each production unit, and constructs an industrial chain topology network that marks the upstream and downstream supply relationships based on the upstream supplier code, downstream customer code, transaction product category, and transaction quantity of each production unit. The industrial chain topology network uses production units as nodes and supply relationships as edges, and the edge weights record the transaction product categories and corresponding quantities. After completing the construction of the industrial chain topology, this embodiment targets the industrial chain topology network. For each supply relationship, the product supply output from the upstream production unit to the downstream production unit is obtained, and the unit product carbon emission intensity of the upstream production unit is read at the same time. Then, this embodiment multiplies the product supply output from the upstream production unit to the downstream production unit in this supply relationship by the unit product carbon emission intensity of the upstream production unit to obtain the associated carbon emission transfer amount generated by this supply relationship. For each production unit, this embodiment accumulates the associated carbon emission transfer amounts corresponding to all its input supply relationships to obtain the total input transfer carbon emissions of the production unit. This embodiment follows the energy flow path in the industrial chain topology network, starting from the initial raw material supply node and ending at the terminal product node, and sequentially calculates the carbon emission change rate between adjacent nodes. In some embodiments, the process of obtaining the carbon emission change rate is as follows: Traverse each production unit in the industry chain topology network in turn, and take the currently traversed production unit as the target node; Searching the industrial chain topology network for a node that is directly connected to the target node and located upstream of the target node as an associated upstream node, and obtaining an associated carbon emission transfer amount output from the associated upstream node to the target node; Calculating the difference between the input transferred carbon emission amount of the target node and the associated carbon emission transferred amount to obtain a carbon emission transfer difference; The ratio of the carbon emission transfer difference to the associated carbon emission transfer amount is calculated to obtain the carbon emission change rate of the target node relative to the associated upstream node.

[0031] In the process of coordinated monitoring and tracing of electric power carbon emissions, this embodiment traverses each production unit node in the industrial chain topology network in turn, and takes the currently traversed node as the target node. At the same time, the production unit node that is directly connected to the target node and located upstream of it is determined as the associated upstream node, and the associated carbon emission transfer amount output by the associated upstream node to the target node is obtained. This associated carbon emission transfer amount reflects the carbon emissions accompanying the transmission of electricity from the associated upstream node to the target node. It is an important basic data for calculating the change in carbon emissions of the target node relative to the associated upstream node. Then, this embodiment calculates the target node's The difference between the total input carbon emissions and the associated carbon emissions transferred from the associated upstream node to the target node is defined as the carbon emissions transfer difference. In this embodiment, the total input carbon emissions take into account the carbon emission information carried by all paths that input electricity to the target node. It reflects the total carbon emissions introduced when the target node obtains electricity from the entire power network. The total input carbon emissions are a key indicator for measuring the carbon emissions input of the target node. At the same time, the carbon emissions transfer difference can intuitively reflect the increase or decrease in the total carbon emissions of the target node in the process of obtaining electricity, compared with the carbon emissions directly transmitted from the associated upstream node.

[0032] This embodiment calculates the ratio between the carbon emission transfer difference and the associated carbon emission transfer amount output from the associated upstream node to the target node, and uses this ratio as the carbon emission change rate between adjacent nodes, that is, the carbon emission change rate of the target node relative to the associated upstream node. This carbon emission change rate can effectively measure the degree of change in the carbon emissions of the target node relative to its associated upstream node. It reflects the increase in carbon emissions caused by additional input sources or its own conversion efficiency in the downstream, and provides an important quantitative basis for the coordinated monitoring and precise traceability of power carbon emissions. Finally, this embodiment records the maximum and minimum values ​​of the change rates of all adjacent nodes on each path, which is used as is the carbon emission fluctuation boundary of the path. Finally, on a single supply path, this embodiment counts the carbon emission fluctuation boundaries of all industrial chain paths, selects the highest value from the carbon emission fluctuation boundary as the upper limit of the industrial chain linkage carbon emission fluctuation range, and selects the lowest value from the carbon emission fluctuation boundary as the lower limit of the industrial chain linkage carbon emission fluctuation range. The industrial chain linkage carbon emission fluctuation range composed of the upper limit of the industrial chain linkage carbon emission fluctuation range and the lower limit of the industrial chain linkage carbon emission fluctuation range is output, and is output to the downstream correction link in real time, providing a quantitative boundary for responsibility redistribution, thereby providing an important reference basis for collaborative monitoring and tracing of power carbon emissions.

[0033] S4. Correct the carbon emission responsibility sharing result according to the fluctuation range of the industrial chain linkage carbon emission and the real-time production load data of each production unit to obtain the coordinated carbon emission correction responsibility data.

[0034] In some embodiments, the step of correcting the carbon emission responsibility allocation result based on the industrial chain linkage carbon emission fluctuation range and the real-time production load data of each production unit to obtain the coordinated carbon emission corrected responsibility data includes: Based on the real-time production load data of each production unit, the ratio of the actual production load rate to the rated load rate in the current accounting period is calculated to generate a load correction coefficient; The upper and lower limits of the fluctuation range of the industrial chain linkage carbon emissions are used as the upper and lower limits of the allowable fluctuation boundary range for carbon emission responsibility correction; Extracting the apportioned responsibility amount of each production unit in the carbon emission responsibility apportionment result, and calculating the theoretical carbon emission baseline value based on the apportioned responsibility amount and the load correction coefficient; Calculating the relative deviation between the theoretical carbon emission baseline value and the apportioned responsibility amount to obtain a responsibility amount deviation degree; The production unit whose responsibility quantity deviation exceeds the upper and lower limits of the allowable fluctuation boundary range is regarded as the production unit to be corrected, and the average value of the load correction coefficient of the upstream and downstream production units associated with the production unit to be corrected is obtained to generate the associated load correction factor; Obtaining a correction weight of the production unit to be corrected according to a ratio between the deviation of the responsibility quantity and the length of the upper and lower limits of the allowable fluctuation boundary interval; Correcting the shared responsibility amount according to the associated load correction factor and the correction weight to obtain a collaborative correction responsibility amount; Based on the collaborative correction responsibility of all production units, collaborative carbon emission correction responsibility data is generated.

[0035] Specifically, this embodiment calculates the ratio of the actual production load rate to the rated load rate of the equipment in the current accounting period based on the real-time production load data of each production unit, and generates a load correction coefficient. The load correction coefficient is used to reflect the degree of deviation of the carbon emission responsibility of the production unit due to load changes. At the same time, this embodiment defines the upper and lower limits of the industrial chain linkage carbon emission fluctuation range as the upper and lower limits of the allowable fluctuation boundary of the carbon emission responsibility correction, respectively, to form the upper and lower limits of the allowable fluctuation boundary range of the carbon emission responsibility correction. The upper and lower limits of the allowable fluctuation boundary range of the carbon emission responsibility correction are used to define the acceptable range of variation of carbon emission responsibility. For each production unit, this embodiment extracts the shared responsibility amount from its carbon emission responsibility sharing result, and calculates the product of the shared responsibility amount and the load correction coefficient to obtain the theoretical carbon emission baseline value. The theoretical carbon emission baseline value reflects the production unit in the current load state The theoretical reference value of carbon emissions that should be borne under the current regulation is obtained. This embodiment quantifies the relative deviation between the theoretical carbon emission benchmark value and the shared responsibility amount by calculating the proportion of the difference between the theoretical carbon emission benchmark value and the shared responsibility amount to the shared responsibility amount, and obtains the responsibility amount deviation degree. The responsibility amount deviation degree is used to measure the difference ratio between the actual shared responsibility amount and the theoretical reference value. If the responsibility amount deviation degree of a production unit exceeds the upper and lower limits of the allowable fluctuation boundary interval (that is, the responsibility amount deviation degree is greater than the upper limit of the allowable fluctuation boundary interval or the responsibility amount deviation degree is less than the lower limit of the allowable fluctuation boundary interval), the production unit is marked as a production unit to be corrected; at the same time, this embodiment extracts the upstream and downstream production units directly connected to the production unit to be corrected from the industrial chain topology network, obtains the average value of the load correction coefficients of the upstream and downstream production units associated with the production unit to be corrected, and generates an associated load correction factor, which is used to reflect the impact of the industrial chain linkage effect on the responsibility correction.

[0036] For the production unit to be corrected, this embodiment calculates the absolute value of the deviation of the responsibility quantity and divides it by the absolute value of the difference between the upper limit of the allowable fluctuation boundary interval and the lower limit of the allowable fluctuation boundary interval to obtain a correction weight. The correction weight reflects the relative size of the deviation degree with respect to the fluctuation interval, and is used to control the size of the correction amplitude. Then, this embodiment takes the shared responsibility quantity of the production unit to be corrected as the basis, and increases or decreases the shared responsibility quantity according to the product of the associated load correction factor and the correction weight to obtain a collaboratively corrected responsibility quantity. The correction direction is determined by the positive or negative deviation of the responsibility quantity. If the deviation is positive, the responsibility quantity is increased, and if the deviation is negative, the responsibility quantity is reduced. Specifically, the correction weight is calculated. , the product of the associated load correction factor and the direction sign of the responsibility deviation and the sum of their values ​​to obtain the associated load correction value, and the shared responsibility amount is multiplied by the associated load correction value to obtain the associated load correction value, wherein the direction sign of the responsibility deviation is +1 (positive deviation) or -1 (negative deviation) according to the positive or negative sign of the responsibility deviation. This embodiment summarizes the collaborative correction responsibility amounts of all production units, and directly retains the original shared responsibility amounts unchanged for the production units that have not triggered the correction, forming collaborative carbon emission correction responsibility data covering the entire industrial chain. The collaborative carbon emission correction responsibility data realizes the dynamic coordination of the carbon emission responsibility sharing results with the actual operating status of the industrial chain and the law of carbon emission fluctuations.

[0037] S5. Perform collaborative carbon cost balancing based on the collaborative carbon emission correction responsibility data to generate a carbon cost allocation ratio for each production unit.

[0038] In some embodiments, the step of performing collaborative carbon cost balancing based on the collaborative carbon emission correction responsibility data to generate a carbon cost allocation ratio for each production unit includes: Calculate the proportion of each production unit's collaborative correction responsibility to the park's total collaborative correction responsibility based on the collaborative carbon emission correction responsibility data to generate an initial responsibility weight; Calculate the average carbon emission intensity of the park industry for each production unit, and calculate the industry adjustment factor based on the average carbon emission intensity of the park industry and the actual output of each production unit; Calculate the mean of the industry adjustment factors of each production unit associated with the upstream and downstream production units to obtain a synergistic balance coefficient, and use the synergistic balance coefficient to synergistically balance the synergistic correction responsibility amount to obtain a balanced responsibility amount; The total balance responsibility of the park is obtained by summing up the balance responsibility of all production units, and the percentage of the balance responsibility of each production unit in the total balance responsibility of the park is calculated to obtain the carbon cost allocation ratio.

[0039] This embodiment calculates the proportion of the collaborative correction responsibility of each production unit in the total collaborative correction responsibility of the park based on the collaborative carbon emission correction responsibility data, and generates an initial responsibility weight. The initial responsibility weight is used to quantify the relative scale of the carbon emission responsibility of each unit after collaborative correction, which reflects the relative share of the unit in the overall carbon emissions of the park. For each production unit, this embodiment extracts the average carbon emission intensity of the industry to which it belongs from the park industry benchmark database, obtains the park industry average carbon emission intensity of each production unit, and calculates the proportion of the collaborative correction responsibility of the production unit to the product of the park industry average carbon emission intensity and the actual output of the production unit, and obtains the industry adjustment factor. The industry factor reflects the degree of deviation of the unit's actual carbon emission responsibility from the industry benchmark level, thereby measuring the difference in carbon emission levels of each production unit in the industry. The present embodiment pre-sets the threshold range of the industry adjustment factor. If the industry adjustment factor of a production unit exceeds the threshold range of the industry adjustment factor, a coordinated balance adjustment is performed to calculate the average of the industry adjustment factors of the upstream and downstream units of the industrial chain associated with each production unit, which is defined as the coordinated balance coefficient. The coordinated balance coefficient reflects the correction effect of the overall efficiency of the industrial chain on a single production unit. The present embodiment multiplies the coordinated correction responsibility amount by the coordinated balance coefficient to generate an adjusted balance responsibility amount; if the industry adjustment factor is within the threshold range of the industry adjustment factor, the coordinated correction responsibility amount is directly retained as the balance responsibility amount. The present embodiment sums the balance responsibility amounts of all production units to obtain the total balance responsibility amount of the park, and calculates the percentage ratio of the balance responsibility amount of each unit to the total balance responsibility amount of the park to obtain the carbon cost allocation ratio of each production unit.

[0040] S6. Track the abnormality of electricity carbon emissions based on the real-time production mode adjustment information and electricity consumption change data fed back after executing the carbon cost allocation ratio to obtain electricity carbon emission traceability data.

[0041] In some embodiments, the step of tracking power carbon emission anomalies based on the real-time production mode adjustment information and power consumption change data fed back after executing the carbon cost allocation ratio to obtain power carbon emission traceability data includes: Based on the electricity consumption change data fed back after the implementation of the carbon cost allocation ratio, calculate the electricity consumption change rate of each production unit before and after the adjustment; The production unit whose power consumption change rate exceeds the preset power consumption fluctuation threshold is regarded as a power consumption abnormal unit, and the abnormal time period of the power consumption abnormal unit is obtained; Extracting key production adjustment parameters for units with abnormal power consumption from the real-time production mode adjustment information fed back after executing the carbon cost allocation ratio; the key production adjustment parameters include load adjustment amplitude, process switching type, and equipment start-up and shutdown frequency; Calculating the production mode correlation strength based on the production adjustment key parameter and the power consumption change rate, and identifying the production adjustment key parameter with the highest production mode correlation strength as the leading abnormal factor; The abnormal source of power carbon emissions is located according to the dominant abnormal factors and the abnormal time period, and power carbon emissions traceability data is generated.

[0042] Specifically, this embodiment calculates the electricity consumption change rate of each production unit before and after the allocation ratio adjustment based on the electricity consumption change data fed back after the execution of the carbon cost allocation ratio. The electricity consumption change rate is obtained by calculating the ratio of the difference between the electricity consumption after adjustment and the electricity consumption before adjustment to the electricity consumption before adjustment. If the electricity consumption change rate of a certain production unit exceeds the preset electricity consumption fluctuation threshold, this embodiment marks the production unit whose electricity consumption change rate exceeds the preset electricity consumption fluctuation threshold as an abnormal electricity consumption unit, and records the abnormal occurrence time period of the abnormal electricity consumption unit. For the marked abnormal electricity consumption unit, this embodiment uses the real-time production consumption change data fed back after the execution of the carbon cost allocation ratio to obtain the abnormal electricity consumption rate. In the production mode adjustment information, the key production adjustment parameters such as load adjustment range, process switching type and equipment start-stop frequency are extracted. The three key production adjustment parameters are used to quantify the impact of production mode changes on power consumption. The load adjustment range is the percentage of the difference between the actual load rate and the benchmark load rate; the process switching type determines the switching category and complexity coefficient according to the process change record; the equipment start-stop frequency is the ratio of the number of equipment starts / stops during the abnormal period to the benchmark frequency. This embodiment calculates the product of the sum of the key production adjustment parameters and the absolute value of the power consumption change rate to obtain the production mode association strength, thereby quantifying the relationship between each production adjustment parameter and power consumption. The degree of correlation between anomalies. This embodiment sorts the key parameters of production adjustment in descending order according to the production mode correlation strength, identifies the parameter with the highest production mode correlation strength as the dominant anomaly factor, and performs traceability positioning based on the dominant anomaly factor. For example, if the dominant factor is load adjustment, trace it back to the production scheduling instruction, retrieve the production scheduling instruction record, verify the matching of the load change instruction with the abnormal time period, and check whether there is any unreasonable scheduling arrangement; if the dominant factor is process switching, trace it back to the process control terminal, extract the operation log of the process control terminal, confirm the correlation between the process change time node and the abnormal time period, and check whether the process switching operation is Specifications; if the dominant factor is the start and stop of the equipment, trace it back to the equipment operation log, parse the start and stop records in the equipment operation log, check the overlap between the equipment action time and the abnormal period, and check whether there are any abnormal conditions during the start and stop of the equipment. In this way, the abnormal source is located, and the positioning information of the scheduling instruction number, process control terminal IP or equipment number is obtained, thereby generating power carbon emission traceability data containing power consumption abnormal units, abnormal occurrence time periods, dominant abnormal factor types and positioning information, and realizing accurate traceability of carbon emission anomalies. This embodiment realizes closed-loop traceability from abnormality detection to entity positioning through quantitative correlation analysis of power consumption and production adjustments.

[0043] An embodiment of the present invention provides a collaborative monitoring and tracing method for power carbon emissions, which calculates the actual power consumption ratio and basic carbon emissions of each production unit within a calculation period based on the real-time power consumption data of each production unit in the industrial park; allocates the actual carbon emission responsibility of each production unit according to the actual power consumption ratio and the basic carbon emissions, and obtains the carbon emission responsibility sharing result; uses the production correlation information between upstream and downstream production units in the industrial chain to perform a linkage analysis of the industrial chain carbon footprint, and obtains the fluctuation range of the linkage carbon emissions of the industrial chain; corrects the carbon emission responsibility sharing result according to the fluctuation range of the linkage carbon emissions of the industrial chain and the real-time production load data of each production unit, and obtains collaborative carbon emission corrected responsibility data; performs collaborative carbon cost balancing based on the collaborative carbon emission corrected responsibility data, and generates the carbon cost allocation ratio of each production unit; tracks power carbon emission anomalies according to the real-time production mode adjustment information and power consumption change data fed back after the execution of the carbon cost allocation ratio, and obtains power carbon emission tracing data. Compared with existing technologies, this method achieves dynamic and accurate allocation of electricity carbon emission responsibilities and rapid positioning of abnormal sources through coordinated correction of the industrial chain and carbon cost feedback mechanism, thereby significantly improving the accuracy of electricity carbon emission monitoring and traceability timeliness, and providing a reliable basis for the park's electricity carbon emission management.

[0044] It should be noted that the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiment of this application.

[0045] In one embodiment, Figure 2 As shown, an embodiment of the present invention provides a system for collaborative monitoring and tracing of power carbon emissions, the system comprising: The electricity carbon analysis module 101 is used to calculate the actual electricity consumption ratio and basic carbon emissions of each production unit during the accounting period based on the real-time electricity consumption data of each production unit in the park; The responsibility allocation module 102 is configured to allocate the actual carbon emission responsibility of each production unit according to the actual electricity consumption ratio and the basic carbon emission amount, and obtain a carbon emission responsibility allocation result; The linkage analysis module 103 is used to use the production correlation information between upstream and downstream production units in the industrial chain to perform linkage analysis of the industrial chain carbon footprint, and obtain the fluctuation range of the linkage carbon emissions of the industrial chain; The responsibility correction module 104 is used to correct the carbon emission responsibility allocation result according to the fluctuation range of the industrial chain linkage carbon emission and the real-time production load data of each production unit to obtain the coordinated carbon emission correction responsibility data; A collaborative balancing module 105 is configured to perform collaborative carbon cost balancing based on the collaborative carbon emission correction responsibility data and generate a carbon cost allocation ratio for each production unit; The traceability module 106 is used to track the abnormality of power carbon emissions based on the real-time production mode adjustment information and power consumption change data fed back after the execution of the carbon cost allocation ratio, and obtain power carbon emission traceability data.

[0046] For the specific limitations of a system for collaborative monitoring and tracing of electric power carbon emissions, please refer to the above-mentioned limitations on a method for collaborative monitoring and tracing of electric power carbon emissions, which will not be repeated here. A person of ordinary skill in the art will appreciate that the various modules and steps described in conjunction with the embodiments disclosed in this application can be implemented in hardware, software, or a combination of both. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0047] An embodiment of the present invention provides a collaborative monitoring and tracing system for electric power carbon emissions, wherein the electric carbon analysis module of the system calculates the actual electric power consumption ratio and basic carbon emissions of each production unit during the accounting period based on the real-time electric power consumption data of each production unit in the park; the responsibility allocation module allocates the actual carbon emission responsibility of each production unit according to the actual electric power consumption ratio and the basic carbon emissions, and obtains the carbon emission responsibility sharing result; the linkage analysis module uses the production correlation information between the upstream and downstream production units of the industrial chain to perform linkage analysis of the industrial chain carbon footprint, and obtains the linkage carbon emission fluctuation range of the industrial chain; the responsibility correction module corrects the carbon emission responsibility sharing result according to the linkage carbon emission fluctuation range of the industrial chain and the real-time production load data of each production unit, and obtains the collaborative carbon emission corrected responsibility data; the collaborative balancing module performs collaborative carbon cost balance based on the collaborative carbon emission corrected responsibility data, and generates the carbon cost allocation ratio of each production unit; the traceability tracking module tracks electric power carbon emission anomalies according to the real-time production mode adjustment information and electric power consumption change data fed back after the execution of the carbon cost allocation ratio, and obtains the electric power carbon emission traceability data. Compared with existing technologies, this system achieves dynamic and accurate allocation of electricity carbon emission responsibilities and rapid positioning of abnormal sources through coordinated correction of the industrial chain and carbon cost feedback mechanism, thereby significantly improving the accuracy of electricity carbon emission monitoring and traceability timeliness, and providing a reliable basis for the park's electricity carbon emission management.

[0048] The above-described embodiments merely represent several preferred implementations of the present application. While the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the patent. It should be noted that a person skilled in the art could make several improvements and substitutions without departing from the technical principles of the present invention, and these improvements and substitutions should also be considered within the scope of protection of the present application. Therefore, the scope of protection of the present patent application shall be based on the scope of protection of the claims.

Claims

1. A method for collaborative monitoring and tracing of power carbon emissions, characterized in that: The following steps are involved: Based on the real-time electricity consumption data of each production unit in the park, calculate the actual electricity consumption ratio and basic carbon emissions of each production unit during the accounting period; Allocate the actual carbon emission responsibility of each production unit according to the actual electricity consumption ratio and the basic carbon emissions to obtain a carbon emission responsibility allocation result; The production linkage information between upstream and downstream production units in the industrial chain is used to conduct linkage analysis of the industrial chain carbon footprint, and the fluctuation range of the industrial chain linkage carbon emissions is obtained; The carbon emission responsibility allocation result is corrected according to the fluctuation range of the industrial chain linkage carbon emissions and the real-time production load data of each production unit to obtain the coordinated carbon emission correction responsibility data; Performing collaborative carbon cost balancing based on the collaborative carbon emission correction responsibility data to generate a carbon cost allocation ratio for each production unit; According to the real-time production mode adjustment information and power consumption change data fed back after the execution of the carbon cost allocation ratio, power carbon emission anomalies are tracked to obtain power carbon emission traceability data.

2. The method for collaborative monitoring and tracing of power carbon emissions according to claim 1, characterized in that: The step of calculating the actual power consumption ratio and basic carbon emissions of each production unit during the accounting period based on the real-time power consumption data of each production unit in the park includes: Based on the real-time power consumption data of each production unit in the park, the total power consumption of each production unit during the accounting period is calculated; Summing the total power consumption of each production unit during the accounting period to obtain the total power consumption of the park during the accounting period; According to the ratio of the total power consumption of each production unit in the accounting period to the total power consumption of the park, the actual power consumption ratio of each production unit is obtained; Based on the total electricity consumption of each production unit during the accounting period and the preset electricity carbon emission factor, the basic carbon emissions generated by electricity consumption of each production unit during the accounting period are calculated.

3. The method for collaborative monitoring and tracing of power carbon emissions according to claim 1, characterized in that: The step of allocating the actual carbon emission responsibility of each production unit according to the actual electricity consumption ratio and the basic carbon emission amount to obtain the carbon emission responsibility allocation result includes: Based on the actual power consumption ratio of each production unit and the preset park power consumption threshold, screen out high-load production units whose actual power consumption ratio exceeds the preset park power consumption threshold; Calculate the excess consumption ratio of each high-load production unit that exceeds the preset park power consumption threshold, and construct an inverse proportional correction coefficient using the excess consumption ratio as a weight; Using the basic carbon emissions as the initial carbon emission responsibility, the initial carbon emission responsibility of the high-load production unit is reduced according to the inverse proportional correction coefficient, and the reduced carbon emission responsibility of the high-load production unit is proportionally increased to other production units that do not exceed the preset park power consumption threshold; Summarize the adjusted carbon emission responsibilities of all production units to obtain the carbon emission responsibility allocation results of each production unit.

4. The method for collaborative monitoring and tracing of power carbon emissions according to claim 3, characterized in that: The steps of reducing the initial carbon emission responsibility of the high-load production unit according to the inverse proportional correction coefficient and proportionally increasing the reduced carbon emission responsibility of the high-load production unit to other production units that do not exceed the preset park power consumption threshold include: Performing a reduction calculation on the responsibility of each high-load production unit based on the initial carbon emission responsibility of the high-load production unit and the inverse proportional correction coefficient to obtain the reduced carbon emission responsibility of each high-load production unit; Calculate the total reduced carbon emission responsibility of high-load production units based on the sum of the initial carbon emission responsibility of all high-load production units and the sum of the reduced carbon emission responsibility; The unit responsibility weight of each non-high-load unit is obtained based on the proportion of the initial carbon emission responsibility of each non-high-load production unit to the total initial carbon emission responsibility of non-high-load units; Allocate the total reduction responsibility amount to each non-high-load production unit according to the unit responsibility weight to obtain the unit increase responsibility amount of each non-high-load unit; Adding the initial carbon emission responsibility of each non-high-load production unit to the unit's increased responsibility to obtain the non-high-load unit responsibility; The carbon emission responsibility amount after the high-load production unit is reduced is summed up with the responsibility amount of the non-high-load unit to obtain the carbon emission responsibility allocation result.

5. The method for collaborative monitoring and tracing of power carbon emissions according to claim 1, characterized in that: The steps of using the production correlation information between upstream and downstream production units in the industrial chain to perform industrial chain carbon footprint linkage analysis and obtain the fluctuation range of industrial chain linkage carbon emissions include: Based on the park's supply chain management data, the upstream production unit code, downstream production unit code, transaction product category, and transaction quantity data of each production unit are extracted to construct an industrial chain topology network with production units as nodes and supply relationships as edges. Based on each supply relationship in the industry chain topology network, obtain the product supply output from the upstream production unit to the downstream production unit, as well as the unit product carbon emission intensity of the upstream production unit; Calculate the associated carbon emission transfer amount generated by each supply relationship based on the product supply volume and the carbon emission intensity per unit product; Accumulate the associated carbon emission transfer amounts corresponding to all input supply relationships of each production unit to obtain the corresponding total input transfer carbon emission amount; Along each supply relationship in the industrial chain topology network, the carbon emission change rate between adjacent nodes is calculated based on the total carbon emissions transmitted by the adjacent nodes; Extract the maximum and minimum values ​​of the carbon emission change rates between all adjacent nodes in a single supply relationship as the carbon emission fluctuation boundary of the corresponding supply relationship; The carbon emission fluctuation boundaries of all supply relationships are counted, and the highest value in the carbon emission fluctuation boundary is used as the upper limit of the industrial chain linkage carbon emission fluctuation range, and the lowest value in the carbon emission fluctuation boundary is used as the lower limit of the industrial chain linkage carbon emission fluctuation range, to obtain the industrial chain linkage carbon emission fluctuation range.

6. The method for collaborative monitoring and tracing of power carbon emissions according to claim 5, characterized in that: The process of obtaining the carbon emission change rate is as follows: Traverse each production unit in the industry chain topology network in turn, and take the currently traversed production unit as the target node; Searching the industrial chain topology network for a node that is directly connected to the target node and located upstream of the target node as an associated upstream node, and obtaining an associated carbon emission transfer amount output from the associated upstream node to the target node; Calculating the difference between the input transferred carbon emission amount of the target node and the associated carbon emission transferred amount to obtain a carbon emission transfer difference; The ratio of the carbon emission transfer difference to the associated carbon emission transfer amount is calculated to obtain the carbon emission change rate of the target node relative to the associated upstream node.

7. The method for collaborative monitoring and tracing of power carbon emissions according to claim 1, characterized in that: The step of correcting the carbon emission responsibility allocation result according to the industrial chain linkage carbon emission fluctuation range and the real-time production load data of each production unit to obtain the coordinated carbon emission correction responsibility data includes: Based on the real-time production load data of each production unit, the ratio of the actual production load rate to the rated load rate in the current accounting period is calculated to generate a load correction coefficient; The upper and lower limits of the fluctuation range of the industrial chain linkage carbon emissions are used as the upper and lower limits of the allowable fluctuation boundary range for carbon emission responsibility correction; Extracting the apportioned responsibility amount of each production unit in the carbon emission responsibility apportionment result, and calculating the theoretical carbon emission baseline value based on the apportioned responsibility amount and the load correction coefficient; Calculating the relative deviation between the theoretical carbon emission baseline value and the apportioned responsibility amount to obtain a responsibility amount deviation degree; The production unit whose responsibility quantity deviation exceeds the upper and lower limits of the allowable fluctuation boundary range is regarded as the production unit to be corrected, and the average value of the load correction coefficient of the upstream and downstream production units associated with the production unit to be corrected is obtained to generate the associated load correction factor; Obtaining a correction weight of the production unit to be corrected according to a ratio between the deviation of the responsibility quantity and the length of the upper and lower limits of the allowable fluctuation boundary interval; Correcting the shared responsibility amount according to the associated load correction factor and the correction weight to obtain a collaborative correction responsibility amount; Based on the collaborative correction responsibility of all production units, collaborative carbon emission correction responsibility data is generated.

8. The method for collaborative monitoring and tracing of power carbon emissions according to claim 1, characterized in that: The step of performing collaborative carbon cost balancing based on the collaborative carbon emission correction responsibility data to generate a carbon cost allocation ratio for each production unit includes: Calculate the proportion of each production unit's collaborative correction responsibility to the park's total collaborative correction responsibility based on the collaborative carbon emission correction responsibility data to generate an initial responsibility weight; Calculate the average carbon emission intensity of the park industry for each production unit, and calculate the industry adjustment factor based on the average carbon emission intensity of the park industry and the actual output of each production unit; Calculate the mean of the industry adjustment factors of each production unit associated with the upstream and downstream production units to obtain a synergistic balance coefficient, and use the synergistic balance coefficient to synergistically balance the synergistic correction responsibility amount to obtain a balanced responsibility amount; The total balance responsibility of the park is obtained by summing up the balance responsibility of all production units, and the percentage of the balance responsibility of each production unit in the total balance responsibility of the park is calculated to obtain the carbon cost allocation ratio.

9. The method for collaborative monitoring and tracing of power carbon emissions according to claim 1, characterized in that: The step of tracking power carbon emission anomalies based on the real-time production mode adjustment information and power consumption change data fed back after executing the carbon cost allocation ratio to obtain power carbon emission traceability data includes: Based on the electricity consumption change data fed back after the implementation of the carbon cost allocation ratio, calculate the electricity consumption change rate of each production unit before and after the adjustment; The production unit whose power consumption change rate exceeds the preset power consumption fluctuation threshold is regarded as a power consumption abnormal unit, and the abnormal time period of the power consumption abnormal unit is obtained; Extracting key production adjustment parameters for units with abnormal power consumption from the real-time production mode adjustment information fed back after executing the carbon cost allocation ratio; the key production adjustment parameters include load adjustment amplitude, process switching type, and equipment start-up and shutdown frequency; Calculating the production mode correlation strength based on the production adjustment key parameter and the power consumption change rate, and identifying the production adjustment key parameter with the highest production mode correlation strength as the leading abnormal factor; The abnormal source of power carbon emissions is located according to the dominant abnormal factors and the abnormal time period, and power carbon emissions traceability data is generated.

10. A collaborative monitoring and tracing system for power carbon emissions, characterized by: The system comprises: The electricity-carbon analysis module is used to calculate the actual electricity consumption ratio and basic carbon emissions of each production unit during the accounting period based on the real-time electricity consumption data of each production unit in the park; a responsibility allocation module, configured to allocate the actual carbon emission responsibility of each production unit according to the actual electricity consumption ratio and the basic carbon emission amount, and obtain a carbon emission responsibility allocation result; The linkage analysis module is used to use the production correlation information between upstream and downstream production units in the industrial chain to conduct linkage analysis of the industrial chain carbon footprint and obtain the fluctuation range of the industrial chain linkage carbon emissions; A responsibility correction module is used to correct the carbon emission responsibility allocation result according to the fluctuation range of the industrial chain linkage carbon emission and the real-time production load data of each production unit to obtain the coordinated carbon emission correction responsibility data; a collaborative balancing module, configured to perform collaborative carbon cost balancing based on the collaborative carbon emission correction responsibility data and generate a carbon cost allocation ratio for each production unit; The traceability module is used to track the abnormality of power carbon emissions based on the real-time production mode adjustment information and power consumption change data fed back after the execution of the carbon cost allocation ratio, and obtain power carbon emission traceability data.

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