A method and system for monitoring and tracing power carbon emissions in coordination

Abstract

The present application relates to carbon emission monitoring technical field, especially to a kind of electric power carbon emission collaborative monitoring traceability method and system, including the real-time power consumption data based on each production unit in park to each production unit actual carbon emission responsibility is distributed, and carbon emission responsibility apportionment result is obtained;Utilize the production correlation information between upstream and downstream production units in industry chain, and obtain the industry chain linkage carbon emission fluctuation interval;According to the industry chain linkage carbon emission fluctuation interval, carbon emission responsibility apportionment result is corrected, and collaborative carbon emission correction responsibility data is obtained;Based on collaborative carbon emission correction responsibility data, collaborative carbon cost balance is carried out, and carbon cost distribution proportion is generated;According to the real-time production mode adjustment information fed back after executing carbon cost distribution proportion, power carbon emission anomaly tracking is carried out, and power carbon emission traceability data is obtained.The present application realizes the dynamic accurate distribution of electric power carbon emission responsibility and the rapid positioning of abnormal source by industry chain collaborative correction and carbon cost feedback mechanism.

Description

Technical Field

[0001] This invention relates to the field of carbon emission monitoring technology, and in particular to a method and system for collaborative monitoring and tracing of carbon emissions from the power industry. Background Technology

[0002] Against the backdrop of promoting low-carbon industrial development globally, carbon emission accounting for 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 cooperation among enterprises. Existing technologies generally use static accounting models, which are difficult to cope with the carbon emission allocation problems brought about by dynamic electricity sharing among enterprises and supply chain collaboration, resulting in significant deviations between accounting results and actual emissions.

[0003] Current electricity emission monitoring systems lack an effective response mechanism for the dynamic allocation of electricity resources within industrial parks. Enterprises in industrial clusters typically share power infrastructure such as substations and distributed energy systems. The electricity consumption ratio among enterprises changes in real time due to production plan adjustments, equipment start-up and shutdown, or energy efficiency optimization. However, existing accounting models are mostly based on fixed allocation coefficients or historical averages, failing to capture the impact of real-time electricity consumption redistribution on carbon emission responsibility. For example, when an enterprise temporarily increases production and uses more shared electricity, its excess emissions are often averaged out or incorrectly attributed, resulting in distorted carbon cost allocation. Secondly, the carbon emission linkage effect between upstream and downstream industries in the industrial chain has not been fully quantified. Enterprises form close-knit production networks through raw material supply and semi-finished product processing. Changes in electricity consumption at one stage can trigger a chain reaction through products. Existing technologies lack sufficient granularity in monitoring supply chain coordination indicators, leading to gaps in carbon footprint tracing. Typically, when upstream enterprises increase their use of clean electricity, downstream enterprises should correspondingly reduce their indirect emission responsibilities. However, the existing system lacks dynamic tracking paths 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 allocation in real time and quantify the emission linkage effects of the industrial chain, providing a technological foundation for precise carbon management in industrial clusters. Summary of the Invention

[0004] To address the above technical problems, this invention provides a method and system for collaborative monitoring and tracing of carbon emissions from the power industry.

[0005] In a first aspect, the present invention provides a method for collaborative monitoring and tracing of carbon emissions from the power industry, the method comprising the following steps:

[0006] Based on real-time power consumption data of each production unit in the park, the actual power consumption ratio and basic carbon emissions of each production unit in the accounting period are calculated.

[0007] The actual carbon emission responsibility of each production unit is allocated based on the actual electricity consumption ratio and the basic carbon emission amount, resulting in a carbon emission responsibility allocation result.

[0008] By utilizing production correlation information between upstream and downstream production units in the industrial chain, a linkage analysis of the industrial chain carbon footprint is conducted to obtain the fluctuation range of linked carbon emissions in the industrial chain.

[0009] The carbon emission responsibility allocation results are corrected based on the carbon emission fluctuation range of the aforementioned industrial chain linkage and the real-time production load data of each production unit to obtain collaborative carbon emission correction responsibility data.

[0010] Based on the collaborative carbon emission correction responsibility data, a collaborative carbon cost balance is performed to generate the carbon cost allocation ratio for each production unit.

[0011] Based on the real-time production mode adjustment information and electricity consumption change data fed back after the carbon cost allocation ratio is implemented, abnormal electricity carbon emissions are tracked to obtain electricity carbon emission source traceability data.

[0012] In a further implementation plan, the step of calculating the actual electricity consumption ratio and basic carbon emissions of each production unit within the accounting period based on real-time electricity consumption data of each production unit in the park includes:

[0013] 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.

[0014] The total power consumption of each production unit within the accounting period is summed to obtain the total power consumption of the park within the accounting period.

[0015] The actual power consumption ratio of each production unit is obtained by comparing the total power consumption of each production unit within the accounting period with the total power consumption of the park.

[0016] Based on the total electricity consumption of each production unit during the accounting period and the preset electricity carbon emission factor, calculate the basic carbon emissions generated by electricity consumption of each production unit during the accounting period.

[0017] In a further implementation, the step of allocating the actual carbon emission responsibility of each production unit based on the actual electricity consumption ratio and the baseline carbon emissions to obtain the carbon emission responsibility allocation result includes:

[0018] Based on the actual power consumption ratio of each production unit and the preset power consumption threshold of the park, high-load production units whose actual power consumption ratio exceeds the preset power consumption threshold of the park are selected.

[0019] 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 with the excess consumption ratio as the weight;

[0020] The baseline carbon emissions are used as the initial carbon emission responsibility. The initial carbon emission responsibility of high-load production units is reduced according to the inverse proportional correction coefficient. The carbon emission responsibility of high-load production units is then proportionally increased to other production units that do not exceed the preset park power consumption threshold.

[0021] By summing up the adjusted carbon emission responsibility amounts for all production units, the carbon emission responsibility allocation results for each production unit are obtained.

[0022] In a further implementation, the step of reducing the initial carbon emission responsibility of high-load production units according to the inverse proportional correction coefficient, and proportionally increasing the reduced carbon emission responsibility of high-load production units to other production units that do not exceed the preset park power consumption threshold, includes:

[0023] The carbon emission responsibility of each high-load production unit is reduced based on the initial carbon emission responsibility of the high-load production unit and the inverse proportional correction coefficient, so as to obtain the reduced carbon emission responsibility of each high-load production unit.

[0024] The total reduction in carbon emission obligations for high-load production units is calculated based on the sum of their initial carbon emission obligations and the sum of their reduced carbon emission obligations.

[0025] The unit responsibility weight of each non-high-load production unit is obtained based on the proportion of its initial carbon emission responsibility to the total initial carbon emission responsibility of all non-high-load units.

[0026] The total reduction responsibility is allocated to each non-high-load production unit according to the unit responsibility weight, to obtain the unit increase responsibility of each non-high-load unit;

[0027] The initial carbon emission responsibility of each non-high-load production unit is added to the unit's adjusted responsibility to obtain the non-high-load unit responsibility.

[0028] The carbon emission responsibility allocation result is obtained by summing the carbon emission responsibility of the reduced high-load production units with that of the non-high-load units.

[0029] In a further implementation plan, the step of using production correlation information between upstream and downstream production units in the industrial chain to conduct a joint analysis of the industrial chain carbon footprint and obtain the joint carbon emission fluctuation range includes:

[0030] Based on the park's supply chain management data, the upstream production unit codes, downstream production unit codes, transaction product categories, and transaction quantities of each production unit are extracted to construct an industrial chain topology network with production units as nodes and supply relationships as edges.

[0031] Based on each supply relationship in the industrial chain topology network, obtain the product supply volume from the upstream production unit to the downstream production unit, as well as the carbon emission intensity per unit product of the upstream production unit;

[0032] 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;

[0033] The total carbon emissions associated with all input supply relationships in each production unit are summed up to obtain the total carbon emissions from the input transmission.

[0034] Along each supply relationship in the aforementioned industrial chain topology network, the carbon emission change rate between adjacent nodes is calculated based on the total carbon emissions transmitted by the input of adjacent nodes;

[0035] Extract the maximum and minimum values ​​of the carbon emission change rate among all adjacent nodes in a single supply relationship, and use them as the carbon emission fluctuation boundary for the corresponding supply relationship;

[0036] The carbon emission fluctuation boundaries of all supply relationships are statistically analyzed. The highest value among the carbon emission fluctuation boundaries is used as the upper limit of the carbon emission fluctuation range linked to the industrial chain, and the lowest value among the carbon emission fluctuation boundaries is used as the lower limit of the carbon emission fluctuation range linked to the industrial chain, thus obtaining the carbon emission fluctuation range linked to the industrial chain.

[0037] In a further implementation, the process for obtaining the carbon emission change rate is as follows:

[0038] Each production unit in the supply chain topology is traversed sequentially, and the currently traversed production unit is taken as the target node.

[0039] In the industrial chain topology network, a node that is directly connected to the target node and is located upstream of the target node is searched as an associated upstream node, and the associated carbon emission transfer amount output by the associated upstream node to the target node is obtained;

[0040] The carbon emission transfer difference is obtained by calculating the difference between the total input carbon emissions transferred to the target node and the associated carbon emission transfer amount.

[0041] The ratio between the carbon emission transfer difference and 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.

[0042] In a further implementation plan, the step of correcting the carbon emission responsibility allocation results based on the carbon emission fluctuation range of the industrial chain linkage and the real-time production load data of each production unit to obtain the coordinated carbon emission correction responsibility data includes:

[0043] The ratio of the actual production load rate to the rated load rate within the current accounting cycle is calculated based on the real-time production load data of each production unit, and a load correction coefficient is generated.

[0044] The upper and lower limits of the carbon emission fluctuation range linked to the industrial chain are respectively used as the upper and lower limits of the allowable fluctuation boundary range for the carbon emission responsibility correction.

[0045] Extract the carbon emission responsibility allocation amount for each production unit from the carbon emission responsibility allocation results, and calculate the theoretical carbon emission baseline value based on the allocated responsibility amount and the load correction coefficient;

[0046] Calculate the relative deviation between the theoretical carbon emission baseline and the allocated responsibility amount to obtain the responsibility amount deviation.

[0047] Production units whose responsibility deviation exceeds the upper and lower limits of the allowable fluctuation boundary range are designated as production units to be corrected. The average load correction coefficient of the upstream and downstream production units associated with the production unit to be corrected is obtained, and the associated load correction factor is generated.

[0048] The correction weight of the production unit to be corrected is obtained based on the ratio between the deviation of the responsibility amount and the length of the upper and lower limits of the allowable fluctuation boundary interval.

[0049] The allocated responsibility amount is adjusted according to the associated load adjustment factor and the adjustment weight to obtain the collaboratively adjusted responsibility amount;

[0050] Based on the collaborative correction responsibility of all production units, collaborative carbon emission correction responsibility data is generated.

[0051] In a further implementation, the step of performing collaborative carbon cost balancing based on the collaborative carbon emission correction responsibility data to generate the carbon cost allocation ratio for each production unit includes:

[0052] Based on the collaborative carbon emission correction responsibility data, the proportion of each production unit's collaborative correction responsibility to the total collaborative correction responsibility of the park is calculated, and an initial responsibility weight is generated.

[0053] 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.

[0054] Calculate the average industry adjustment factor of each production unit in relation to its upstream and downstream production units to obtain the collaborative balance coefficient, and use the collaborative balance coefficient to perform collaborative balance on the collaborative correction responsibility quantity to obtain the balanced responsibility quantity.

[0055] The total balance responsibility of the park is obtained by summing the balance responsibility of all production units, and the percentage of the balance responsibility of each production unit to the total balance responsibility of the park is calculated to obtain the carbon cost allocation ratio.

[0056] In a further implementation, the step of tracking electricity carbon emissions anomalies based on real-time production mode adjustment information and electricity consumption change data fed back after the carbon cost allocation ratio, to obtain electricity carbon emission source tracing data, includes:

[0057] 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.

[0058] The production unit whose electricity consumption change rate exceeds the preset electricity consumption fluctuation threshold is identified as the electricity consumption abnormal unit, and the abnormal time period of the electricity consumption abnormal unit is obtained.

[0059] Key production adjustment parameters for units with abnormal power consumption are extracted from the real-time production mode adjustment information fed back after the carbon cost allocation ratio is implemented; the key production adjustment parameters include load adjustment range, process switching type, and equipment start-up and shutdown frequency.

[0060] The correlation strength of the production mode is calculated based on the key parameters of production adjustment and the rate of change of electricity consumption. The key parameters of production adjustment with the highest correlation strength of the production mode are identified as the dominant anomaly factors.

[0061] Based on the dominant anomaly factors and the anomaly period, the abnormal sources of electricity carbon emissions are located, and electricity carbon emission source tracing data is generated.

[0062] Secondly, the present invention provides a collaborative monitoring and tracing system for carbon emissions from the power industry, the system comprising:

[0063] The electricity carbon analysis module is used to calculate the actual electricity consumption ratio and basic carbon emissions of each production unit within the accounting period based on real-time electricity consumption data of each production unit in the park.

[0064] The responsibility allocation module is used to allocate the actual carbon emission responsibility of each production unit according to the actual power consumption ratio and the basic carbon emission amount, so as to obtain the carbon emission responsibility allocation result.

[0065] The linkage analysis module is used to conduct linkage analysis of the carbon footprint of the industrial chain by utilizing the production correlation information between upstream and downstream production units in the industrial chain, and to obtain the linkage carbon emission fluctuation range of the industrial chain.

[0066] The responsibility correction module is used to correct the carbon emission responsibility allocation results based on the carbon emission fluctuation range of the industrial chain linkage and the real-time production load data of each production unit, so as to obtain collaborative carbon emission correction responsibility data.

[0067] The collaborative balancing module is used to perform collaborative carbon cost balancing based on the collaborative carbon emission correction responsibility data, and generate the carbon cost allocation ratio for each production unit.

[0068] The traceability module is used to track abnormal electricity carbon emissions based on real-time production mode adjustment information and electricity consumption change data fed back after the carbon cost allocation ratio is implemented, and to obtain electricity carbon emission traceability data.

[0069] This invention provides a method and system for collaborative monitoring and tracing of electricity carbon emissions. The method calculates the actual electricity consumption ratio and basic carbon emissions of each production unit within an accounting period based on real-time electricity consumption data of each production unit within a park. It then allocates the actual carbon emission responsibility of each production unit according to the actual electricity consumption ratio and basic carbon emissions, obtaining a carbon emission responsibility allocation result. Next, it performs a chain-linked carbon footprint analysis using production correlation information between upstream and downstream production units in the industrial chain, obtaining a chain-linked carbon emission fluctuation range. Finally, it corrects the carbon emission responsibility allocation result based on the chain-linked carbon emission fluctuation range and real-time production load data of each production unit, obtaining collaborative carbon emission correction responsibility data. Based on the collaborative carbon emission correction responsibility data, it performs collaborative carbon cost balancing, generating a carbon cost allocation ratio for each production unit. Finally, it tracks electricity carbon emission anomalies based on real-time production mode adjustment information and electricity consumption change data fed back after the carbon cost allocation ratio is implemented, obtaining electricity carbon emission tracing data. Compared with existing technologies, this method achieves dynamic and accurate allocation of responsibility for electricity carbon emissions and rapid location of abnormal sources through supply chain collaborative correction and carbon cost feedback mechanisms, thereby significantly improving the accuracy of electricity carbon emission monitoring and the timeliness of source tracing, and providing a reliable basis for the management of electricity carbon emissions in industrial parks. Attached Figure Description

[0070] Figure 1 This is a schematic diagram of the collaborative monitoring and tracing method for carbon emissions from the power industry provided in this embodiment of the invention;

[0071] Figure 2 This is a block diagram of the collaborative monitoring and tracing system for carbon emissions from electricity provided in an embodiment of the present invention.

[0072] Figure labeling: 101, Electrocarbon Analysis Module; 102, Responsibility Allocation Module; 103, Linkage Analysis Module; 104, Responsibility Correction Module; 105, Collaborative Balancing Module; 106, Source Tracing Module. Detailed Implementation

[0073] The embodiments of the present invention are described in detail below with reference to the accompanying drawings. The embodiments are given for illustrative purposes only and should not be construed as limiting the present invention. The accompanying drawings are for reference and illustration only and do not constitute a limitation on the scope of patent protection of the present invention, because many changes can be made to the present invention without departing from the spirit and scope of the present invention.

[0074] Figure 1 This is a schematic flowchart of the power industry carbon emission collaborative monitoring and tracing method provided in this embodiment of the invention. This embodiment of the invention provides a power industry carbon emission collaborative monitoring and tracing method, such as... Figure 1 As shown, the method includes the following steps:

[0075] S1. Based on the real-time power consumption data of each production unit in the park, calculate the actual power consumption ratio and basic carbon emissions of each production unit within the accounting period.

[0076] In some implementations, the step of calculating the actual electricity consumption ratio and basic carbon emissions of each production unit within the accounting period based on real-time electricity consumption data of each production unit in the park includes:

[0077] 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.

[0078] The total power consumption of each production unit within the accounting period is summed to obtain the total power consumption of the park within the accounting period.

[0079] The actual power consumption ratio of each production unit is obtained by comparing the total power consumption of each production unit within the accounting period with the total power consumption of the park.

[0080] Based on the total electricity consumption of each production unit during the accounting period and the preset electricity carbon emission factor, calculate the basic carbon emissions generated by electricity consumption of each production unit during the accounting period.

[0081] In this embodiment, high-precision power monitoring instruments are installed at key power equipment (such as distribution cabinets or power equipment access terminals) in each production unit within the industrial park. These instruments can collect power consumption data from each production unit in real time and accurately. The power consumption data includes parameters such as voltage, current, and power. The power consumption data is then cleaned and preprocessed. The preprocessing process includes checking the completeness and accuracy of the power consumption data, removing abnormal and missing data caused by equipment failure, communication interference, etc. For missing data, this embodiment can use interpolation to fill in the missing data. Then, the filled power consumption data is processed... Normalization is performed for subsequent calculations and analysis. In this embodiment, the real-time power consumption data of each production unit is accumulated according to the accounting cycle. Specifically, for each production unit, the power consumption within a certain time interval (such as one minute) is recorded once. Then, the power consumption within these time intervals is added together to obtain the total power consumption of the production unit within the accounting cycle. At the same time, this embodiment summarizes the total power consumption calculated by each production unit within the accounting cycle and calculates the sum of the total power consumption of each production unit within the accounting cycle to obtain the total power consumption of the park.

[0082] For each production unit, this embodiment calculates the ratio of its total power consumption during the accounting period to the total power consumption of the park, thus obtaining the actual power consumption ratio of that production unit. Simultaneously, this embodiment presets a power carbon emission factor based on the park's power source structure (such as the proportion of thermal power, hydropower, and wind power) and carbon emission calculation standards. This power carbon emission factor represents the carbon emissions generated per kilowatt-hour of electricity consumed. This embodiment multiplies the total power consumption of each production unit during the accounting period by the preset power carbon emission factor to obtain the basic carbon emissions generated by the power consumption of that production unit during the accounting period. Through the above steps, this embodiment can accurately calculate the actual power consumption ratio and basic carbon emissions of each production unit during the accounting period based on real-time power consumption data within the park, providing basic data support for subsequent collaborative monitoring and tracing of power carbon emissions.

[0083] S2. Allocate the actual carbon emission responsibility of each production unit according to the actual power consumption ratio and the basic carbon emission amount to obtain the carbon emission responsibility allocation result.

[0084] In some implementations, the step of allocating the actual carbon emission responsibility of each production unit based on the actual electricity consumption ratio and the baseline carbon emissions to obtain the carbon emission responsibility allocation result includes:

[0085] Based on the actual power consumption ratio of each production unit and the preset power consumption threshold of the park, high-load production units whose actual power consumption ratio exceeds the preset power consumption threshold of the park are selected.

[0086] 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 with the excess consumption ratio as the weight;

[0087] The baseline carbon emissions are used as the initial carbon emission responsibility. The initial carbon emission responsibility of high-load production units is reduced according to the inverse proportional correction coefficient. The carbon emission responsibility of high-load production units is then proportionally increased to other production units that do not exceed the preset park power consumption threshold.

[0088] By summing up the adjusted carbon emission responsibility amounts for all production units, the carbon emission responsibility allocation results for each production unit are obtained.

[0089] Specifically, this embodiment compares the actual power consumption ratio of each production unit with a preset park power consumption threshold. If the actual power consumption ratio of a certain 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 exceeding the preset park power consumption threshold. 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 reciprocal of the excess consumption ratio of each high-load production unit to obtain the inverse proportional correction coefficient of that production unit. The purpose of this is to make the excess consumption ratio as low as possible. The higher the production unit's carbon emission liability, the smaller its inverse proportional correction coefficient, and the less liability it bears in subsequent carbon emission liability adjustments. In this embodiment, the base carbon emission of each high-load production unit is used as the initial carbon emission liability. The initial carbon emission liability of the high-load production unit is reduced according to the inverse proportional correction coefficient, and the reduced carbon emission liability of the high-load production unit is proportionally increased to other production units that do not exceed the preset park electricity consumption threshold. In some embodiments, the steps of reducing the initial carbon emission liability of the high-load production unit according to the inverse proportional correction coefficient and proportionally increasing the reduced carbon emission liability of the high-load production unit to other production units that do not exceed the preset park electricity consumption threshold include:

[0090] The carbon emission responsibility of each high-load production unit is reduced based on the initial carbon emission responsibility of the high-load production unit and the inverse proportional correction coefficient, so as to obtain the reduced carbon emission responsibility of each high-load production unit.

[0091] The total reduction in carbon emission obligations for high-load production units is calculated based on the sum of their initial carbon emission obligations and the sum of their reduced carbon emission obligations.

[0092] The unit responsibility weight of each non-high-load production unit is obtained based on the proportion of its initial carbon emission responsibility to the total initial carbon emission responsibility of all non-high-load units.

[0093] The total reduction responsibility is allocated to each non-high-load production unit according to the unit responsibility weight, to obtain the unit increase responsibility of each non-high-load unit;

[0094] The initial carbon emission responsibility of each non-high-load production unit is added to the unit's adjusted responsibility to obtain the non-high-load unit responsibility.

[0095] The carbon emission responsibility allocation result is obtained by summing the carbon emission responsibility of the reduced high-load production units with that of the non-high-load units.

[0096] Specifically, after screening high-load production units and constructing the inverse proportional correction coefficient, this embodiment addresses the responsibility reduction processing for high-load production units. Based on the determined initial carbon emission responsibility of each high-load production unit and the corresponding inverse proportional correction coefficient, a responsibility reduction calculation is performed for 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, and the result is the reduced carbon emission responsibility of that high-load production unit. After completing the reduction calculation for a single high-load production unit, the reduction amount is then summarized. In this embodiment, the initial carbon emission responsibility of all high-load production units is added together to obtain the total initial carbon emission responsibility. Then, the reduced carbon emission responsibility of all high-load production units is added together to obtain the total reduced carbon emission responsibility. Finally, the total initial carbon emission responsibility is subtracted from the total reduced carbon emission responsibility to obtain the total reduced responsibility of the high-load production units.

[0097] Regarding the responsibility increase processing for non-high-load production units, this embodiment allocates the total reduction in responsibility to each non-high-load production unit according to the proportion of the initial carbon emission responsibility of the non-high-load production unit to the total initial carbon emission responsibility of all non-high-load units, thereby achieving a proportional increase in responsibility. Specifically, the process involves first calculating the unit responsibility weight of each non-high-load unit by dividing the initial responsibility of each non-high-load production unit by the sum of the initial responsibility of all non-high-load units. Then, this embodiment multiplies the total reduction in responsibility by the unit responsibility weight of each non-high-load production unit. The weighted responsibility is the unit-adjusted responsibility amount for the non-high-load unit. Finally, the reduced responsibility amount of the high-load production unit and the increased responsibility amount of the non-high-load production unit are summed to output the final carbon emission responsibility allocation result. The final responsibility amount of the high-load unit is the carbon emission responsibility amount of each high-load production unit after the reduction calculated earlier, and the final responsibility amount of the non-high-load unit is the result of the initial carbon emission responsibility amount of each non-high-load production unit plus the unit-adjusted responsibility amount. This embodiment achieves coordinated responsibility redistribution through the reduction of responsibility of high-load units and the increase of responsibility of non-high-load units.

[0098] S3. Utilize production correlation information between upstream and downstream production units in the industrial chain to conduct a linkage analysis of the industrial chain carbon footprint and obtain the fluctuation range of linked carbon emissions in the industrial chain.

[0099] In some implementations, the step of using production correlation information between upstream and downstream production units in the industrial chain to perform industrial chain carbon footprint linkage analysis and obtain the industrial chain linkage carbon emission fluctuation range includes:

[0100] Based on the park's supply chain management data, the upstream production unit codes, downstream production unit codes, transaction product categories, and transaction quantities of each production unit are extracted to construct an industrial chain topology network with production units as nodes and supply relationships as edges.

[0101] Based on each supply relationship in the industrial chain topology network, obtain the product supply volume from the upstream production unit to the downstream production unit, as well as the carbon emission intensity per unit product of the upstream production unit;

[0102] 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;

[0103] The total carbon emissions associated with all input supply relationships in each production unit are summed up to obtain the total carbon emissions from the input transmission.

[0104] Along each supply relationship in the aforementioned industrial chain topology network, the carbon emission change rate between adjacent nodes is calculated based on the total carbon emissions transmitted by the input of adjacent nodes;

[0105] Extract the maximum and minimum values ​​of the carbon emission change rate among all adjacent nodes in a single supply relationship, and use them as the carbon emission fluctuation boundary for the corresponding supply relationship;

[0106] The carbon emission fluctuation boundaries of all supply relationships are statistically analyzed. The highest value among the carbon emission fluctuation boundaries is used as the upper limit of the carbon emission fluctuation range linked to the industrial chain, and the lowest value among the carbon emission fluctuation boundaries is used as the lower limit of the carbon emission fluctuation range linked to the industrial chain, thus obtaining the carbon emission fluctuation range linked to the industrial chain.

[0107] This embodiment, after the initial allocation of carbon emission responsibilities at the park level, conducts a supply chain carbon footprint linkage analysis based on production-related information to ensure that subsequent corrections 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, obtaining data such as upstream supplier codes, downstream customer codes, traded product categories, and transaction quantities for each production unit. Based on this data, a supply chain topology network is constructed, marking upstream and downstream supply relationships. The supply chain topology network uses production units as nodes and supply relationships as edges, with edge weights recording the traded product categories and corresponding quantities. After completing the supply chain topology construction, this embodiment analyzes the supply chain topology network... For each supply relationship, the product supply quantity from the upstream production unit to the downstream production unit is obtained, and the carbon emission intensity per unit product of the upstream production unit is read. Then, in this embodiment, the product supply quantity from the upstream production unit to the downstream production unit in the supply relationship is multiplied by the carbon emission intensity per unit product of the upstream production unit to obtain the associated carbon emission transfer amount generated by the 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. In this embodiment, along the energy flow path in the industrial chain topology network, from the initial raw material supply node to the end product node, the carbon emission change rate between adjacent nodes is calculated sequentially. In some embodiments, the process of obtaining the carbon emission change rate is as follows:

[0108] Each production unit in the supply chain topology is traversed sequentially, and the currently traversed production unit is taken as the target node.

[0109] In the industrial chain topology network, a node that is directly connected to the target node and is located upstream of the target node is searched as an associated upstream node, and the associated carbon emission transfer amount output by the associated upstream node to the target node is obtained;

[0110] The carbon emission transfer difference is obtained by calculating the difference between the total input carbon emissions transferred to the target node and the associated carbon emission transfer amount.

[0111] The ratio between the carbon emission transfer difference and 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.

[0112] In this embodiment, during the collaborative monitoring and tracing of carbon emissions in the power industry chain, each production unit node in the industrial chain topology is traversed sequentially. The currently traversed node is designated as the target node, and the production unit node directly connected to and upstream of the target node is identified as the associated upstream node. The associated carbon emission transfer amount from the associated upstream node to the target node is obtained. This associated carbon emission transfer amount reflects the carbon emissions carried during the power transmission process from the associated upstream node to the target node, and it serves as crucial foundational data for calculating the carbon emission changes of the target node relative to the associated upstream node. Then, this embodiment calculates the target node's... The difference between the total carbon emissions transmitted into the target node and the associated carbon emissions transmitted from the upstream node to the target node is defined as the carbon emission transmission difference. In this embodiment, the total carbon emissions transmitted into the target node comprehensively consider the carbon emission information carried by all paths that input electricity to the target node. It reflects the total carbon emissions introduced by the target node when it obtains electricity from the entire power network. The total carbon emissions transmitted into the target node is a key indicator for measuring the carbon emission input of the target node. At the same time, the carbon emission transmission difference can intuitively reflect the increase or decrease of the total carbon emissions of the target node during the process of obtaining electricity, compared with the carbon emissions directly transmitted from the associated upstream node.

[0113] This embodiment calculates the ratio between the carbon emission transfer difference and the associated carbon emission transfer from the upstream node to the target node. This ratio is used as the carbon emission change rate between adjacent nodes, i.e., the carbon emission change rate of the target node relative to its upstream node. This carbon emission change rate can effectively measure the degree of change in carbon emissions of the target node relative to its upstream node. It reflects the increase in carbon emissions downstream due to additional input sources or its own conversion efficiency, providing important quantitative basis for the coordinated monitoring and accurate source tracing of electricity carbon emissions. Finally, this embodiment records the maximum and minimum values ​​of the change rates of all adjacent nodes on each path, using this as... This embodiment defines the carbon emission fluctuation boundary for this path. Finally, for a single supply path, this embodiment statistically analyzes the carbon emission fluctuation boundaries of all industrial chain paths. The highest value among the carbon emission fluctuation boundaries is selected as the upper limit of the industrial chain-linked carbon emission fluctuation range, and the lowest value is selected as the lower limit of the industrial chain-linked carbon emission fluctuation range. The industrial chain-linked carbon emission fluctuation range, which is composed of the upper limit and the lower limit of the industrial chain-linked carbon emission fluctuation range, is output and output to the downstream correction link in real time. This provides a quantitative boundary for the redistribution of responsibility, thereby providing an important reference for the collaborative monitoring and traceability of electricity carbon emissions.

[0114] S4. Based on the carbon emission fluctuation range of the aforementioned industrial chain linkage and the real-time production load data of each production unit, the carbon emission responsibility allocation results are corrected to obtain collaborative carbon emission correction responsibility data.

[0115] In some implementations, the step of correcting the carbon emission responsibility allocation results based on the carbon emission fluctuation range of the industrial chain linkage and the real-time production load data of each production unit to obtain coordinated carbon emission correction responsibility data includes:

[0116] The ratio of the actual production load rate to the rated load rate within the current accounting cycle is calculated based on the real-time production load data of each production unit, and a load correction coefficient is generated.

[0117] The upper and lower limits of the carbon emission fluctuation range linked to the industrial chain are respectively used as the upper and lower limits of the allowable fluctuation boundary range for the carbon emission responsibility correction.

[0118] Extract the carbon emission responsibility allocation amount for each production unit from the carbon emission responsibility allocation results, and calculate the theoretical carbon emission baseline value based on the allocated responsibility amount and the load correction coefficient;

[0119] Calculate the relative deviation between the theoretical carbon emission baseline and the allocated responsibility amount to obtain the responsibility amount deviation.

[0120] Production units whose responsibility deviation exceeds the upper and lower limits of the allowable fluctuation boundary range are designated as production units to be corrected. The average load correction coefficient of the upstream and downstream production units associated with the production unit to be corrected is obtained, and the associated load correction factor is generated.

[0121] The correction weight of the production unit to be corrected is obtained based on the ratio between the deviation of the responsibility amount and the length of the upper and lower limits of the allowable fluctuation boundary interval.

[0122] The allocated responsibility amount is adjusted according to the associated load adjustment factor and the adjustment weight to obtain the collaboratively adjusted responsibility amount;

[0123] Based on the collaborative correction responsibility of all production units, collaborative carbon emission correction responsibility data is generated.

[0124] Specifically, this embodiment calculates the ratio of the actual production load rate to the rated load rate of the equipment within the current accounting cycle based on the real-time production load data of each production unit, generating a load correction coefficient. This load correction coefficient reflects the degree of deviation in carbon emission responsibility caused by load changes in the production unit. Simultaneously, this embodiment defines the upper and lower limits of the carbon emission fluctuation range linked to the industrial chain as the upper and lower limits of the allowable fluctuation boundary for carbon emission responsibility correction, respectively, forming the upper and lower limits of the allowable fluctuation boundary range for carbon emission responsibility correction. These upper and lower limits define the acceptable range of variation in carbon emission responsibility. For each production unit, this embodiment extracts the allocated responsibility amount from its carbon emission responsibility allocation result and calculates the product of this allocated responsibility amount and the load correction coefficient to obtain a theoretical carbon emission benchmark value. This theoretical carbon emission benchmark value reflects the production unit's performance under the current load condition. The theoretical reference value for carbon emissions to be borne is calculated in this embodiment. By calculating the ratio of the difference between the theoretical carbon emission benchmark value and the allocated responsibility amount to the allocated responsibility amount, the relative deviation between the theoretical carbon emission benchmark value and the allocated responsibility amount is quantified, and the responsibility amount deviation is obtained. This responsibility amount deviation is used to measure the proportion of the difference between the actual allocated responsibility amount and the theoretical reference value. If the responsibility amount deviation of a certain production unit exceeds the upper or lower limit of the allowable fluctuation boundary range (i.e., the responsibility amount deviation is greater than the upper limit of the allowable fluctuation boundary range or the responsibility amount deviation is less than the lower limit of the allowable fluctuation boundary range), 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 load correction coefficient 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 responsibility correction.

[0125] For the production unit to be corrected, this embodiment calculates the absolute value of the deviation of the responsibility amount by dividing 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 the correction weight. This correction weight reflects the relative magnitude of the deviation relative to the fluctuation interval and is used to control the magnitude of the correction. Then, based on the allocated responsibility amount of the production unit to be corrected, this embodiment adjusts the allocated responsibility amount by increasing or decreasing it according to the product of the associated load correction factor and the correction weight, to obtain the coordinated correction responsibility amount. The correction direction is determined by the sign of the deviation of the responsibility amount. If the deviation is positive, the responsibility amount is increased; if the deviation is negative, the responsibility amount is decreased. Specifically, the correction weight is calculated. The product of the associated load correction factor and the sign of the deviation of the responsibility amount is summed with the numerical value to obtain the associated load correction value. The allocated responsibility amount is then multiplied by the associated load correction value to obtain the associated load correction value. The sign of the deviation of the responsibility amount is +1 (positive deviation) or -1 (negative deviation) depending on whether the deviation of the responsibility amount is positive or negative. In this embodiment, the collaborative correction responsibility amount of all production units is summarized. For production units that have not triggered the correction, the original allocated responsibility amount is directly retained unchanged, forming collaborative carbon emission correction responsibility data covering the entire industrial chain. This collaborative carbon emission correction responsibility data realizes the dynamic coordination between the carbon emission responsibility allocation result and the actual operating status of the industrial chain and the carbon emission fluctuation pattern.

[0126] S5. Based on the collaborative carbon emission correction responsibility data, perform collaborative carbon cost balancing to generate the carbon cost allocation ratio for each production unit.

[0127] In some implementations, the step of performing collaborative carbon cost balancing based on the collaborative carbon emission correction responsibility data to generate the carbon cost allocation ratio for each production unit includes:

[0128] Based on the collaborative carbon emission correction responsibility data, the proportion of each production unit's collaborative correction responsibility to the total collaborative correction responsibility of the park is calculated, and an initial responsibility weight is generated.

[0129] 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.

[0130] Calculate the average industry adjustment factor of each production unit in relation to its upstream and downstream production units to obtain the collaborative balance coefficient, and use the collaborative balance coefficient to perform collaborative balance on the collaborative correction responsibility quantity to obtain the balanced responsibility quantity.

[0131] The total balance responsibility of the park is obtained by summing the balance responsibility of all production units, and the percentage of the balance responsibility of each production unit to the total balance responsibility of the park is calculated to obtain the carbon cost allocation ratio.

[0132] This embodiment calculates the proportion of each production unit's collaborative carbon emission correction responsibility in the total collaborative carbon emission correction responsibility of the park based on collaborative carbon emission correction responsibility data, generating an initial responsibility weight. This initial responsibility weight is used to quantify the relative scale of each unit's carbon emission responsibility after collaborative correction, reflecting the unit's relative share in the park's overall carbon emissions. For each production unit, this embodiment extracts the average carbon emission intensity of its industry from the park's industry benchmark database to obtain the park's industry average carbon emission intensity for each production unit. It then calculates the proportion of the production unit's collaborative carbon emission correction responsibility to the product of the park's industry average carbon emission intensity and the production unit's actual output, obtaining an industry adjustment factor. This industry factor reflects the degree of deviation between the unit's actual carbon emission responsibility and the industry benchmark level, thereby measuring the difference in carbon emission levels of each production unit within the industry. In this embodiment, an industry adjustment factor threshold range is pre-defined. If the industry adjustment factor of a production unit exceeds the threshold range, a collaborative balance adjustment is performed. The average industry adjustment factor of each production unit's upstream and downstream units in the related industrial chain is calculated and defined as the collaborative balance coefficient. The collaborative balance coefficient reflects the corrective impact of the overall efficiency of the industrial chain on a single production unit. In this embodiment, the collaborative correction responsibility is multiplied by the collaborative balance coefficient to generate the adjusted balance responsibility. If the industry adjustment factor is within the threshold range, the collaborative correction responsibility is directly retained as the balance responsibility. In this embodiment, the balance responsibility of all production units is summed to obtain the total balance responsibility of the park, and the percentage ratio of the balance responsibility of each unit to the total balance responsibility of the park is calculated to obtain the carbon cost allocation ratio of each production unit.

[0133] S6. Based on the real-time production mode adjustment information and electricity consumption change data fed back after the carbon cost allocation ratio is implemented, perform abnormal tracking of electricity carbon emissions to obtain electricity carbon emission source tracing data.

[0134] In some implementations, the step of tracking electricity carbon emissions anomalies based on real-time production mode adjustment information and electricity consumption change data fed back after the carbon cost allocation ratio, to obtain electricity carbon emission source tracing data, includes:

[0135] 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.

[0136] The production unit whose electricity consumption change rate exceeds the preset electricity consumption fluctuation threshold is identified as the electricity consumption abnormal unit, and the abnormal time period of the electricity consumption abnormal unit is obtained.

[0137] Key production adjustment parameters for units with abnormal power consumption are extracted from the real-time production mode adjustment information fed back after the carbon cost allocation ratio is implemented; the key production adjustment parameters include load adjustment range, process switching type, and equipment start-up and shutdown frequency.

[0138] The correlation strength of the production mode is calculated based on the key parameters of production adjustment and the rate of change of electricity consumption. The key parameters of production adjustment with the highest correlation strength of the production mode are identified as the dominant anomaly factors.

[0139] Based on the dominant anomaly factors and the anomaly period, the abnormal sources of electricity carbon emissions are located, and electricity carbon emission source tracing data is generated.

[0140] Specifically, this embodiment calculates the electricity consumption change rate of each production unit before and after the adjustment of the carbon cost allocation ratio based on the electricity consumption change data fed back after the implementation of the carbon cost allocation ratio. This electricity consumption change rate is obtained by calculating the ratio of the difference between the adjusted electricity consumption and the electricity consumption before the adjustment to the electricity consumption before the 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 with the electricity consumption change rate exceeding the preset electricity consumption fluctuation threshold as an abnormal electricity consumption unit and records the abnormal occurrence period of the abnormal electricity consumption unit. For the marked abnormal electricity consumption units, this embodiment uses the real-time electricity consumption data fed back after the implementation of the carbon cost allocation ratio to calculate the electricity consumption change rate of each production unit before the adjustment of the carbon cost allocation ratio. In the production mode adjustment information, key production adjustment parameters such as load adjustment magnitude, process switching type, and equipment start-up and shutdown frequency are extracted. These three key production adjustment parameters are used to quantify the impact of production mode changes on power consumption. The load adjustment magnitude is the percentage difference between the actual load rate and the baseline load rate. The process switching type is determined based on process change records to determine the switching category and complexity coefficient. The equipment start-up and shutdown frequency is the ratio of the number of equipment starts / stops during abnormal periods to the baseline frequency. In this embodiment, the correlation strength of the production mode is obtained by calculating the product of the sum of the key production adjustment parameters and the absolute value of the rate of change in electricity consumption, thereby quantifying the relationship between each production adjustment parameter and power consumption. To assess the correlation between anomalies, this embodiment sorts key production adjustment parameters in descending order based on the strength of their correlation with production modes. The parameter with the highest correlation strength is identified as the dominant anomaly factor. Source tracing is then performed based on this dominant factor. For example, if the dominant factor is load adjustment, the tracing leads to production scheduling instructions, which are retrieved to verify the matching between load change instructions and the abnormal period, checking for any unreasonable scheduling arrangements. If the dominant factor is process switching, the tracing leads to the process control terminal, which is accessed through its operation logs to confirm the correlation between the process change time point and the abnormal period, checking whether the process switching operation was... Standardized procedures are followed. If the dominant factor is equipment start-up or shutdown, the process traces back to the equipment operation log, analyzes the start-up and shutdown records in the log, verifies the overlap between the equipment action time and the abnormal period, and investigates whether there are any abnormal situations during the equipment start-up and shutdown process. This completes the anomaly source location and obtains the location information of the dispatch instruction number, process control terminal IP, or equipment number. This generates power carbon emission tracing data containing the abnormal power consumption unit, the time period of the anomaly, the type of dominant anomaly factor, and the location information, achieving accurate tracing of carbon emission anomalies. In this embodiment, through quantitative correlation analysis of power consumption and production adjustments, a closed-loop tracing from anomaly detection to entity location is achieved.

[0141] This invention provides a method for collaborative monitoring and tracing of electricity carbon emissions. The method calculates the actual electricity consumption ratio and basic carbon emissions of each production unit within an accounting period based on real-time electricity consumption data of each production unit within a park. It then allocates the actual carbon emission responsibility of each production unit according to the actual electricity consumption ratio and basic carbon emissions, obtaining a carbon emission responsibility allocation result. Next, it performs a chain-linked carbon footprint analysis using production correlation information between upstream and downstream production units in the industrial chain, obtaining a chain-linked carbon emission fluctuation range. Finally, it corrects the carbon emission responsibility allocation result based on the chain-linked carbon emission fluctuation range and real-time production load data of each production unit, obtaining collaborative carbon emission correction responsibility data. Based on the collaborative carbon emission correction responsibility data, it performs collaborative carbon cost balancing to generate a carbon cost allocation ratio for each production unit. Finally, it tracks electricity carbon emission anomalies based on real-time production mode adjustment information and electricity consumption change data fed back after the carbon cost allocation ratio is implemented, obtaining electricity carbon emission tracing data. Compared with existing technologies, this method achieves dynamic and accurate allocation of responsibility for electricity carbon emissions and rapid location of abnormal sources through supply chain collaborative correction and carbon cost feedback mechanisms, thereby significantly improving the accuracy of electricity carbon emission monitoring and the timeliness of source tracing, and providing a reliable basis for the management of electricity carbon emissions in industrial parks.

[0142] It should be noted that the sequence number of each process does not imply 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 embodiments of this application.

[0143] In one embodiment, such as Figure 2 As shown in the figure, an embodiment of the present invention provides a collaborative monitoring and tracing system for carbon emissions from the power industry, the system comprising:

[0144] The carbon analysis module 101 is used to calculate the actual power consumption ratio and basic carbon emissions of each production unit within the accounting period based on the real-time power consumption data of each production unit in the park.

[0145] The responsibility allocation module 102 is used to allocate the actual carbon emission responsibility of each production unit according to the actual power consumption ratio and the basic carbon emission amount, so as to obtain the carbon emission responsibility allocation result.

[0146] The linkage analysis module 103 is used to conduct linkage analysis of the carbon footprint of the industrial chain by utilizing the production correlation information between upstream and downstream production units in the industrial chain, and to obtain the linkage carbon emission fluctuation range of the industrial chain.

[0147] The responsibility correction module 104 is used to correct the carbon emission responsibility allocation results based on the carbon emission fluctuation range of the industrial chain linkage and the real-time production load data of each production unit, so as to obtain collaborative carbon emission correction responsibility data.

[0148] The collaborative balancing module 105 is used to perform collaborative carbon cost balancing based on the collaborative carbon emission correction responsibility data, and generate the carbon cost allocation ratio for each production unit.

[0149] The traceability module 106 is used to track abnormal electricity carbon emissions based on the real-time production mode adjustment information and electricity consumption change data fed back after the execution of the carbon cost allocation ratio, and to obtain electricity carbon emission traceability data.

[0150] Specific limitations regarding a collaborative monitoring and tracing system for carbon emissions from the power industry can be found in the aforementioned limitations regarding a collaborative monitoring and tracing method for carbon emissions from the power industry, and will not be repeated here. Those skilled in the art will recognize 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 implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0151] This invention provides a collaborative monitoring and traceability system for electricity carbon emissions. The system's electricity carbon analysis module calculates the actual electricity consumption ratio and basic carbon emissions of each production unit within the accounting period based on real-time electricity consumption data of each production unit in the industrial park. The responsibility allocation module allocates the actual carbon emission responsibility of each production unit according to the actual electricity consumption ratio and basic carbon emissions, obtaining a carbon emission responsibility allocation result. The linkage analysis module uses production correlation information between upstream and downstream production units in the industrial chain to perform industrial chain carbon footprint linkage analysis, obtaining the industrial chain linkage carbon emission fluctuation range. The responsibility correction module corrects the carbon emission responsibility allocation result based on the industrial chain linkage carbon emission fluctuation range and real-time production load data of each production unit, obtaining collaborative carbon emission correction responsibility data. The collaborative balancing module performs collaborative carbon cost balancing based on the collaborative carbon emission correction responsibility data, generating a carbon cost allocation ratio for each production unit. The traceability module tracks electricity carbon emission anomalies based on real-time production mode adjustment information and electricity consumption change data fed back after the carbon cost allocation ratio is implemented, obtaining electricity carbon emission traceability data. Compared with existing technologies, this system achieves dynamic and accurate allocation of responsibility for electricity carbon emissions and rapid location of abnormal sources through supply chain collaborative correction and carbon cost feedback mechanisms. This significantly improves the accuracy of electricity carbon emission monitoring and the timeliness of source tracing, providing a reliable basis for the management of electricity carbon emissions in the industrial park.

[0152] The embodiments described above are merely preferred embodiments of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of the invention patent. It should be noted that those skilled in the art can make various improvements and substitutions without departing from the technical principles of this invention, and these improvements and substitutions should also be considered within the scope of protection of this application. Therefore, the scope of protection of this patent application should be determined by the scope of the claims.

Claims

1. A method for power carbon emission co-monitoring and tracing, characterized in that, The method comprises the following steps: Based on the real-time power consumption data of each production unit in the park, the actual power consumption proportion and the basic carbon emission of each production unit in the accounting period are calculated; According to the actual power consumption proportion and the basic carbon emission, the actual carbon emission responsibility of each production unit is allocated to obtain the carbon emission responsibility allocation result; Using the production correlation information between upstream and downstream production units in the industrial chain to carry out industrial chain carbon footprint linkage analysis, the industrial chain linkage carbon emission fluctuation interval is obtained; According to the industrial chain linkage carbon emission fluctuation interval and the real-time production load data of each production unit, the carbon emission responsibility allocation result is corrected to obtain the collaborative carbon emission correction responsibility data; Based on the collaborative carbon emission correction responsibility data, the carbon cost allocation proportion of each production unit is generated; According to the real-time production mode adjustment information and power consumption change data fed back after the carbon cost allocation proportion is executed, the power carbon emission anomaly tracking is carried out to obtain the power carbon emission traceability data; Wherein, the step of correcting the carbon emission responsibility allocation result according to the industrial chain linkage carbon emission fluctuation interval and the real-time production load data of each production unit to obtain the collaborative carbon emission correction responsibility data comprises: 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 limit and the lower limit of the industrial chain linkage carbon emission fluctuation interval are respectively taken as the upper and lower limits of the allowed fluctuation boundary interval of carbon emission responsibility correction; Extract the allocation responsibility of each production unit in the carbon emission responsibility allocation result, and calculate the theoretical carbon emission benchmark value according to the allocation responsibility and the load correction coefficient; Calculate the relative deviation between the theoretical carbon emission benchmark value and the allocation responsibility to obtain the responsibility deviation; The production unit whose responsibility deviation exceeds the allowed fluctuation boundary interval is taken as the production unit to be corrected, the average load correction coefficient of the associated upstream and downstream production units of the production unit to be corrected is obtained to generate an associated load correction factor; According to the ratio between the responsibility deviation and the interval length of the allowed fluctuation boundary interval, the correction weight of the production unit to be corrected is obtained; According to the associated load correction factor and the correction weight, the allocation responsibility is corrected to obtain the collaborative correction responsibility; Based on the collaborative correction responsibility of all production units, the collaborative carbon emission correction responsibility data is generated.

2. A method of power carbon emission co-monitoring and tracing as claimed in claim 1, wherein, The step of calculating the actual power consumption proportion and the basic carbon emission of each production unit in the accounting period based on the real-time power consumption data of each production unit in the park comprises: According to the real-time power consumption data of each production unit in the park, the total power consumption of each production unit in the accounting period is calculated; The total power consumption of each production unit in the accounting period is summed up to obtain the total power consumption of the park in 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 proportion of each production unit is obtained; According to the total power consumption of each production unit in the accounting period and the preset power carbon emission factor, the basic carbon emission amount generated by power consumption of each production unit in the accounting period is calculated.

3. A method of power carbon emission co-monitoring and tracing as claimed in claim 1, wherein, The step of distributing the actual carbon emission responsibility of each production unit according to the actual power consumption proportion and the basic carbon emission amount to obtain the carbon emission responsibility allocation result comprises: According to the actual power consumption proportion of each production unit and the preset park power consumption threshold, high-load production units whose actual power consumption proportion exceeds the preset park power consumption threshold are screened out; An excess consumption proportion of each high-load production unit exceeding the preset park power consumption threshold is calculated, and a reverse proportion correction coefficient is constructed by taking the excess consumption proportion as a weight; The basic carbon emission amount is taken as an initial carbon emission responsibility amount, the initial carbon emission responsibility amount of the high-load production unit is adjusted by the reverse proportion correction coefficient, and the adjusted carbon emission responsibility amount of the high-load production unit is proportionally increased to other production units that do not exceed the preset park power consumption threshold; The adjusted carbon emission responsibility amounts of all production units are summarized to obtain the carbon emission responsibility allocation result of each production unit.

4. A method of power carbon emission co-monitoring and tracing as claimed in claim 3, wherein, The step of adjusting the initial carbon emission responsibility amount of the high-load production unit by the reverse proportion correction coefficient, and proportionally increasing the adjusted carbon emission responsibility amount of the high-load production unit to other production units that do not exceed the preset park power consumption threshold comprises: The initial carbon emission responsibility amount of each high-load production unit is adjusted by the reverse proportion correction coefficient to obtain the adjusted carbon emission responsibility amount of each high-load production unit; The total adjusted responsibility amount of the high-load production unit is calculated according to the sum of the initial carbon emission responsibility amounts of all high-load production units and the sum of the adjusted carbon emission responsibility amounts of all high-load production units; The unit responsibility weight of each non-high-load production unit is obtained according to the proportion of the initial carbon emission responsibility amount of each non-high-load production unit in the total initial carbon emission responsibility amount of the non-high-load units; The total adjusted responsibility amount is distributed to each non-high-load production unit according to the unit responsibility weight to obtain the unit increased responsibility amount of each non-high-load production unit; The initial carbon emission responsibility amount of each non-high-load production unit is added to the unit increased responsibility amount to obtain the non-high-load unit responsibility amount; The adjusted carbon emission responsibility amount of the high-load production unit and the non-high-load unit responsibility amount are summarized to obtain the carbon emission responsibility allocation result.

5. A method of power carbon emission co-monitoring and tracing as claimed in claim 1, wherein, The step of performing industrial chain carbon footprint linkage analysis on the production association information between upstream and downstream production units in the industrial chain to obtain the industrial chain linkage carbon emission fluctuation interval comprises: According to the park supply chain management data, the upstream production unit code, the downstream production unit code, the transaction product category and the transaction quantity data of each production unit are extracted to construct an industrial chain topological network taking production units as nodes and supply relationships as edges; According to each supply relationship in the industrial chain topological network, the product supply amount of the upstream production unit output to the downstream production unit and the unit product carbon emission intensity of the upstream production unit are obtained; According to the product supply amount and the unit product carbon emission intensity, the associated carbon emission transmission amount generated by each supply relationship is calculated; According to the product supply amount and the unit product carbon emission intensity, the associated carbon emission transmission amount generated by each supply relationship is calculated; The associated carbon emission transmission amount corresponding to each input supply relationship of each production unit is accumulated to obtain the total input transmission carbon emission amount corresponding to each input supply relationship; Along each supply relationship in the industrial chain topological network, the carbon emission change rate between adjacent nodes is calculated according to the total input transmission carbon emission amount of the adjacent nodes; The maximum value and the minimum value of the carbon emission change rate between all adjacent nodes on a single supply relationship are extracted as the carbon emission fluctuation boundary on 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 taken as the upper limit of the industrial chain linkage carbon emission fluctuation interval, and the lowest value in the carbon emission fluctuation boundary is taken as the lower limit of the industrial chain linkage carbon emission fluctuation interval, to obtain the industrial chain linkage carbon emission fluctuation interval.

6. A method of power carbon emission co-monitoring and tracing as claimed in claim 5, wherein, The acquisition process of the carbon emission change rate is as follows: Each production unit in the industrial chain topological network is traversed in turn, and the currently traversed production unit is taken as a target node; In the industrial chain topological network, nodes directly connected to the target node and located upstream of the target node are searched as associated upstream nodes, and the associated carbon emission transmission amount output from the associated upstream nodes to the target node is obtained; The difference between the total input transmission carbon emission amount of the target node and the associated carbon emission transmission amount is calculated to obtain a carbon emission transmission difference value; The ratio between the carbon emission transmission difference value and the associated carbon emission transmission amount is calculated to obtain the carbon emission change rate of the target node relative to the associated upstream nodes.

7. A method of power carbon emission co-monitoring and tracing as claimed in claim 1, wherein, The step of performing collaborative carbon cost balance based on the collaborative carbon emission correction responsibility data to generate the carbon cost distribution proportion of each production unit includes: Based on the collaborative carbon emission correction responsibility data, the proportion of the collaborative correction responsibility amount of each production unit in the total collaborative correction responsibility amount of the park is calculated to generate an initial responsibility weight; The park industry average carbon emission intensity of each production unit is calculated, and the industry adjustment factor is calculated according to the park industry average carbon emission intensity and the actual output of each production unit; The industry adjustment factor mean value of the associated upstream and downstream production units of each production unit is calculated to obtain a collaborative balance coefficient, and the collaborative balance coefficient is used to balance the collaborative correction responsibility amount to obtain a balanced responsibility amount; The balanced responsibility amounts of all production units are summed to obtain the total balanced responsibility amount of the park, and the percentage of the balanced responsibility amount of each production unit in the total balanced responsibility amount of the park is calculated to obtain the carbon cost distribution proportion.

8. A method of power carbon emission co-monitoring and tracing as claimed in claim 1, wherein, The step of performing power carbon emission anomaly tracking according to the real-time production mode adjustment information and the power consumption change data fed back after the carbon cost distribution proportion is executed to obtain power carbon emission tracing data includes: According to the power consumption change data fed back after the carbon cost distribution proportion is executed, the power consumption change rate of each production unit before and after adjustment is calculated; The production unit whose power consumption change rate exceeds the preset power consumption fluctuation threshold is taken as a power consumption anomaly unit, and the abnormal period of the power consumption anomaly unit is obtained; The production adjustment key parameters of the power consumption anomaly unit are extracted from the real-time production mode adjustment information fed back after the carbon cost distribution proportion is executed; the production adjustment key parameters include load adjustment amplitude, process switching type, and equipment start-stop frequency. According to the production adjustment key parameter and the power consumption rate of change, a production mode correlation strength is calculated, a production adjustment key parameter with the highest production mode correlation strength is identified as a dominant abnormal factor, and power carbon emission abnormal source positioning is performed according to the dominant abnormal factor and the abnormal period to generate power carbon emission traceability data. The system is applied to the method of any one of claims 1 to 8, and the system comprises:

9. A system for power carbon emission co-monitoring and tracing, characterized in that, An electric carbon analysis module is configured to calculate actual power consumption proportions and basic carbon emission amounts of each production unit in an accounting period based on real-time power consumption data of each production unit in a park; A responsibility allocation module is configured to allocate actual carbon emission responsibilities of each production unit according to the actual power consumption proportions and the basic carbon emission amounts to obtain carbon emission responsibility allocation results; A linkage analysis module is configured to perform industrial chain carbon footprint linkage analysis by using production correlation information between upstream and downstream production units in an industrial chain to obtain an industrial chain linkage carbon emission fluctuation interval; A responsibility correction module is configured to correct the carbon emission responsibility allocation results according to the industrial chain linkage carbon emission fluctuation interval and real-time production load data of each production unit to obtain collaborative carbon emission correction responsibility data; A collaborative balance module is configured to perform collaborative carbon cost balance based on the collaborative carbon emission correction responsibility data to generate carbon cost allocation proportions of each production unit; A traceability tracking module is configured to perform electric carbon emission abnormal tracking according to real-time production mode adjustment information and power consumption change data fed back after the carbon cost allocation proportions are executed to obtain power carbon emission traceability data. ​

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