Park equipment carbon emission allocation management method and system based on data analysis

Abstract

The application provides a park equipment carbon emission allocation management method and system based on data analysis, relates to the technical field of carbon emission management, and comprises the following steps: carbon flow tracking is performed on an energy network respectively according to multi-source heterogeneous data of park equipment, and energy conversion topological relationship at a multi-energy coupling node is identified; carbon emission distribution information of an electric power network, carbon emission distribution information of a natural gas network and carbon emission distribution information of a heat supply network are superimposed according to equipment nodes, a superimposed distribution model is constructed based on carbon flow coupling transmission loss factors; and the allocation carbon emission of the park equipment is determined according to the superimposed distribution model. The application solves the problem that, due to the lack of carbon flow cross-network transmission tracking and energy loss quantification mechanism, downstream equipment under a multi-energy coupling node cannot truly reflect the upstream heterogeneous energy carbon emission contribution, realizes carbon flow transmission path tracking and loss quantification, and improves the technical effect of the accuracy of downstream carbon emission allocation.

Description

Technical Field

[0001] This application relates to the field of carbon emission management technology, and in particular to a data analysis-based method and system for carbon emission allocation management of park equipment. Background Technology

[0002] With the rapid development of integrated energy systems in industrial parks, the coupling between multi-energy networks is becoming increasingly close. The conversion between different energy forms at multi-energy coupling nodes has become a common form of energy use in parks. Accurate carbon emission allocation for each energy-consuming device in the park has become an important basis for carbon quota allocation and carbon footprint tracking.

[0003] Currently, existing methods for allocating carbon emissions in industrial parks typically treat multi-energy networks as independent systems, calculating carbon flows separately for each network. Within each network, the carbon potential of individual nodes is calculated, and then carbon emissions are allocated directly using the carbon potential values ​​of each energy-consuming device. However, when carbon flows through multi-energy coupling nodes, the carbon emissions carried by the input energy are transferred to the output energy during the energy conversion process. Simultaneously, energy losses during energy conversion cause the carbon flow intensity per unit of output energy to change relative to that per unit of input energy. Existing methods, operating within the framework of independent calculations for each energy network, cannot track the cross-network transmission path of carbon flows at multi-energy coupling nodes, nor can they quantify the effect of energy losses on carbon flow intensity. This results in the complete omission or incorrect inclusion of carbon emission contributions from upstream heterogeneous energy networks in the carbon emission allocation for downstream devices at multi-energy coupling nodes.

[0004] In summary, existing technologies suffer from technical problems due to the lack of a tracking mechanism for the cross-network transmission of carbon flow at multi-energy coupling nodes and a quantification mechanism for changes in carbon flow intensity caused by energy loss. This results in the carbon emission allocation results of downstream equipment at multi-energy coupling nodes failing to accurately reflect the carbon emission contribution of the upstream heterogeneous energy network, further affecting the accurate definition of carbon emission responsibility of downstream equipment and the integrity of the overall carbon footprint traceability chain of the park. Summary of the Invention

[0005] The purpose of this application is to provide a data analysis-based method and system for managing carbon emission allocation of equipment in industrial parks. This system aims to address the technical problems in existing technologies where the lack of a tracking mechanism for the cross-network transmission of carbon flow at multi-energy coupling nodes and a quantification mechanism for changes in carbon flow intensity caused by energy loss leads to the inability of downstream equipment carbon emission allocation results to accurately reflect the carbon emission contribution of upstream heterogeneous energy networks. This further affects the accurate definition of carbon emission responsibility for downstream equipment and the integrity of the overall carbon footprint traceability chain of the industrial park.

[0006] In view of the above problems, this application provides a data analysis-based method and system for carbon emission allocation management of park equipment.

[0007] Firstly, this application provides a data analysis-based method for managing carbon emission allocation for park equipment, implemented through a data analysis-based management system for managing carbon emission allocation for park equipment. The method includes: acquiring multi-source heterogeneous data of park equipment; performing carbon flow tracking on the energy network based on the multi-source heterogeneous data, identifying energy conversion topology relationships at multi-energy coupling nodes, and obtaining carbon emission distribution information for the power network, natural gas network, and heating network; superimposing the carbon emission distribution information of the power network, natural gas network, and heating network by equipment node, calculating the carbon flow coupling and transmission loss factor based on the energy conversion topology relationships, and constructing a superimposed distribution model; and determining the allocated carbon emissions of the park equipment based on the superimposed distribution model.

[0008] Preferably, the data analysis-based carbon emission allocation management method for park equipment further includes: the multi-source heterogeneous data includes at least power network operating parameters, natural gas network operating parameters, heating network operating parameters, and energy consumption data of park equipment.

[0009] Preferably, the data analysis-based carbon emission allocation management method for park equipment further includes: obtaining the carbon potential of power nodes from the carbon emission distribution information of the power network, obtaining the carbon potential of natural gas nodes from the carbon emission distribution information of the natural gas network, and obtaining the carbon potential of thermal nodes from the carbon emission distribution information of the thermal network; calculating the carbon flow coupling transmission loss factor based on the energy conversion topology, and performing coupling correction on the carbon potential of power nodes, natural gas nodes, and thermal nodes to obtain the corrected comprehensive node carbon potential; and aggregating the comprehensive node carbon potential to form the superimposed distribution model.

[0010] Preferably, the data analysis-based carbon emission allocation management method for park equipment further includes: parsing the energy conversion topology to obtain the conversion efficiency of the input energy flow to the output energy flow at the multi-energy coupling node; calculating the energy loss rate during the energy conversion process based on the conversion efficiency; and calculating the carbon flow coupling transmission loss factor, which reflects the intensity change of the carbon flow during the coupling transmission process, based on the energy loss rate and the carbon emission allocation weight.

[0011] Preferably, the data analysis-based carbon emission allocation management method for park equipment further includes: identifying the energy conversion direction of the multi-energy coupling node, determining the input-side energy network and the output-side energy network; obtaining the node carbon potential of the input-side energy network as the baseline carbon potential; determining the carbon potential transfer coefficient of the carbon flow from the input-side energy network to the output-side energy network according to the carbon flow coupling transfer loss factor; correcting the baseline carbon potential using the carbon potential transfer coefficient to calculate the derived carbon potential of the output-side energy network; and weighted aggregating the baseline carbon potential and the derived carbon potential to generate the comprehensive node carbon potential.

[0012] Preferably, the data analysis-based carbon emission allocation management method for park equipment further includes: constructing a topology diagram of an energy network, wherein nodes represent park equipment and edges represent energy transmission lines; mapping the comprehensive node carbon potential to the topology diagram to generate node attribute data; and constructing a carbon potential topology matrix based on the topology diagram and the node attribute data to determine the superimposed distribution model.

[0013] Preferably, the data analysis-based carbon emission allocation management method for park equipment further includes: identifying the type of energy network to which the park equipment is connected and the corresponding energy consumption component based on the energy consumption data; determining the carbon emission component of the park equipment under the energy network based on the energy consumption component and the comprehensive node carbon potential; and summing the carbon emission components to obtain the allocated carbon emission amount of the park equipment.

[0014] Preferably, the data analysis-based carbon emission allocation management method for park equipment further includes: parsing the energy consumption data to obtain the energy consumption of the park equipment for different energy network types within a preset time period; matching the energy network nodes connected to the park equipment according to the superimposed distribution model to extract the comprehensive node carbon potential; and calculating the product of the energy consumption and the corresponding comprehensive node carbon potential as the carbon emission component of the park equipment under the corresponding energy network type.

[0015] Preferably, the data analysis-based carbon emission allocation management method for park equipment further includes: determining the time stamp of the carbon emission component based on the energy network operation parameters in the multi-source heterogeneous data; calculating the time lag compensation factor of the thermal carbon emission component based on the inertial characteristics of the thermal network; aligning the carbon emission component in terms of time dimension based on the time stamp and the time lag compensation factor; and dynamically accumulating the aligned electricity carbon emission component, natural gas carbon emission component, and thermal carbon emission component within a preset accounting period to obtain the allocated carbon emission amount of the park equipment.

[0016] Secondly, this application also provides a data analysis-based carbon emission allocation management system for park equipment, used to execute the data analysis-based carbon emission allocation management method for park equipment as described in the first aspect, including: a data acquisition module for acquiring multi-source heterogeneous data of park equipment; an information acquisition module for performing carbon flow tracking on the energy network according to the multi-source heterogeneous data, identifying the energy conversion topology at multi-energy coupling nodes, and obtaining carbon emission distribution information of the power network, the natural gas network, and the heating network; a model construction module for superimposing the carbon emission distribution information of the power network, the natural gas network, and the heating network by equipment node, calculating the carbon flow coupling transmission loss factor based on the energy conversion topology, and constructing a superimposed distribution model; and a carbon emission determination module for determining the allocated carbon emission of the park equipment according to the superimposed distribution model.

[0017] The technical solution provided in this application has at least the following technical effects or advantages: by realizing the tracking of the carbon flow transmission path across energy networks at multi-energy coupling nodes and the quantification of the impact of energy loss on carbon flow intensity, the technical goal of establishing a complete carbon emission transmission chain from upstream heterogeneous energy networks to downstream equipment is achieved, thereby improving the accuracy of carbon emission allocation results for downstream equipment at multi-energy coupling nodes and the integrity of the overall carbon footprint traceability chain of the park.

[0018] The above description is merely an overview of the technical solution of this application. To enable a clearer understanding of the technical means of this application and to facilitate its implementation according to the description, and to make the above and other objects, features, and advantages of this application more apparent, specific embodiments of this application are described below. It should be understood that the content described in this section is not intended to identify key or important features of the embodiments of this application, nor is it intended to limit the scope of this application. Other features of this application will become readily apparent through the following description. Attached Figure Description

[0019] To more clearly illustrate the technical solutions in this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are merely exemplary. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.

[0020] Figure 1 This is a flowchart illustrating the carbon emission allocation management method for park equipment based on data analysis, as proposed in this application.

[0021] Figure 2This is a stacked bar chart of time-segmented multi-energy network energy consumption of park equipment based on the data analysis-based carbon emission allocation management method of this application.

[0022] Figure 3 This is a schematic diagram of the carbon emission allocation management system for park equipment based on data analysis, as described in this application.

[0023] Figure labeling: Data acquisition module 1, information acquisition module 2, model building module 3, carbon emission determination module 4. Detailed Implementation

[0024] This application provides a data analysis-based method and system for managing carbon emission allocation for equipment in industrial parks. It addresses the technical problem in existing technologies where the lack of a tracking mechanism for the cross-network transmission of carbon flow at multi-energy coupling nodes and a mechanism for quantifying changes in carbon flow intensity due to energy loss leads to the inability of downstream equipment carbon emission allocation results to accurately reflect the carbon emission contribution of upstream heterogeneous energy networks. This further affects the accurate definition of carbon emission responsibility for downstream equipment and the integrity of the overall carbon footprint traceability chain in the industrial park. The application aims to track the cross-energy network transmission path of carbon flow at multi-energy coupling nodes and quantify the impact of energy loss on carbon flow intensity, establishing a complete carbon emission transmission chain from upstream heterogeneous energy networks to downstream equipment. This ultimately improves the accuracy of carbon emission allocation results for downstream equipment at multi-energy coupling nodes and enhances the integrity of the overall carbon footprint traceability chain in the industrial park.

[0025] The technical solutions of this application will now be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of them. It should be understood that this application is not limited to the exemplary embodiments described herein. All other embodiments obtained by those skilled in the art based on the embodiments of this application without creative effort are within the scope of protection of this application. It should also be noted that, for ease of description, only the parts related to this application are shown in the accompanying drawings, not all of them.

[0026] Example 1, please refer to Figure 1 and Figure 2 This application provides a data analysis-based carbon emission allocation management method for park equipment, which is applied to a data analysis-based carbon emission allocation management system for park equipment, and specifically includes the following steps: S1: Acquire multi-source heterogeneous data of equipment in the park.

[0027] Furthermore, this application also includes: the multi-source heterogeneous data includes at least power network operating parameters, natural gas network operating parameters, heating network operating parameters, and energy consumption data of park equipment.

[0028] Specifically, multi-source heterogeneous data refers to a collection of various operating parameters and energy consumption data originating from different energy networks and possessing different data structures and physical attributes. Heterogeneity characterizes the differences in physical dimensions, sampling frequencies, and data structures among these data types. Industrial park equipment refers to various energy-consuming terminal equipment deployed within the industrial park, including electrically driven, gas-driven, and thermally driven equipment. Multi-source heterogeneous data includes at least power network operating parameters, natural gas network operating parameters, thermal network operating parameters, and energy consumption data of the industrial park equipment. Power network operating parameters refer to a set of electrical quantity data describing the operating status of the power system, including voltage, current, active power, reactive power, and power factor at each node. Natural gas network operating parameters refer to a set of physical quantity data describing the operating status of the natural gas transmission system, including gas pressure, flow rate, and temperature at each node. Thermal network operating parameters refer to a set of thermal quantity data describing the operating status of the heat supply system, including supply water temperature, return water temperature, flow rate, and pressure at each node. The energy consumption data of the park equipment refers to the consumption of different energy types by each energy-consuming equipment during operation. It reflects the real-time operating conditions of the power network, natural gas network and heating network, as well as the multi-energy consumption behavior of the park equipment. It can support the subsequent steps of carbon flow tracking of each energy network and identification of energy conversion topology at multi-energy coupling nodes.

[0029] S2: Based on the multi-source heterogeneous data, carbon flow tracing is performed on the energy network to identify the energy conversion topology at the multi-energy coupling nodes, thereby obtaining carbon emission distribution information for the power network, the natural gas network, and the heating network.

[0030] Specifically, the energy network refers to the collective term for three types of energy infrastructure systems within the park: the power network for transmitting and distributing electricity, the natural gas network for transmitting and distributing natural gas, and the thermal network for transmitting and distributing heat. Carbon flow tracing refers to the process of quantitatively calculating the distribution of carbon flows among the nodes of each energy network, based on carbon emission flow theory, treating carbon emissions as virtual carbon flows accompanying energy flows, and according to the direction and quantity of energy flows. Separate carbon flow tracing for each energy network refers to calculating the carbon flow distribution using analytical methods corresponding to each energy network, considering their independent physical characteristics and operational patterns.

[0031] A multi-energy coupling node refers to the location of equipment in a park's integrated energy system that simultaneously connects two or more energy networks and involves energy form conversion. This equipment includes gas turbines, gas-fired boilers, electric boilers, heat pumps, waste heat recovery devices, and combined heat and power (CHP) units. Energy conversion topology refers to structured information describing the conversion path, direction, and efficiency between input and output energy flows at a multi-energy coupling node. This relationship reflects the physical connections and energy transfer logic established by different energy networks at the multi-energy coupling node through energy conversion equipment. Identifying the energy conversion topology at a multi-energy coupling node involves extracting equipment configuration and operational status information from multi-source heterogeneous data to determine the type of energy network connected to the input side, the type of energy network connected to the output side, and the conversion correspondence between input and output energy at each multi-energy coupling node.

[0032] After completing carbon flow tracing and energy conversion topology identification, carbon emission distribution information for the power grid, natural gas grid, and heating grid was obtained. The power grid carbon emission distribution information refers to the distribution data of carbon flows at each node and branch in the power grid, obtained through carbon flow tracing. This data includes the nodal carbon potential of each power node and the carbon flow rate of each power branch. The natural gas grid carbon emission distribution information refers to the distribution data of carbon flows at each node and pipe segment in the natural gas grid, obtained through carbon flow tracing. This data includes the nodal carbon potential of each natural gas node and the carbon flow rate of each natural gas pipe segment. The heating grid carbon emission distribution information refers to the distribution data of carbon flows at each node and pipe segment in the heating grid, obtained through carbon flow tracing. This data includes the nodal carbon potential of each heating node and the carbon flow rate of each heating pipe segment. These three types of carbon emission distribution information describe the spatial distribution characteristics of carbon flows in the park's integrated energy system from the three dimensions of electricity, natural gas, and heating, respectively.

[0033] S3: The carbon emission distribution information of the power network, the carbon emission distribution information of the natural gas network, and the carbon emission distribution information of the heating network are superimposed according to the equipment nodes. The carbon flow coupling and transmission loss factor is calculated based on the energy conversion topology relationship, and a superimposed distribution model is constructed.

[0034] Furthermore, this application also includes: obtaining the carbon potential of power nodes from the carbon emission distribution information of the power network, obtaining the carbon potential of natural gas nodes from the carbon emission distribution information of the natural gas network, and obtaining the carbon potential of thermal nodes from the carbon emission distribution information of the thermal network; calculating the carbon flow coupling transmission loss factor based on the energy conversion topology, and performing coupling correction on the carbon potential of power nodes, natural gas nodes, and thermal nodes to obtain the corrected comprehensive node carbon potential; and aggregating the comprehensive node carbon potential to form the superimposed distribution model.

[0035] Furthermore, this application also includes: analyzing the energy conversion topology to obtain the conversion efficiency of the input energy flow to the output energy flow at the multi-energy coupling node; calculating the energy loss rate during the energy conversion process based on the conversion efficiency; and calculating the carbon flow coupling transmission loss factor that reflects the intensity change of the carbon flow during the coupling transmission process based on the energy loss rate and the carbon emission allocation weight.

[0036] Furthermore, this application also includes: identifying the energy conversion direction of the multi-energy coupling node, determining the input-side energy network and the output-side energy network; obtaining the node carbon potential of the input-side energy network as the reference carbon potential; determining the carbon potential transfer coefficient of the carbon flow from the input-side energy network to the output-side energy network according to the carbon flow coupling transfer loss factor; correcting the reference carbon potential using the carbon potential transfer coefficient to calculate the derived carbon potential of the output-side energy network; and performing weighted aggregation of the reference carbon potential and the derived carbon potential to generate the comprehensive node carbon potential.

[0037] Furthermore, this application also includes: constructing a topology diagram of the energy network, wherein nodes represent park equipment and edges represent energy transmission lines; mapping the integrated node carbon potential to the topology diagram to generate node attribute data; and constructing a carbon potential topology matrix based on the topology diagram and the node attribute data, which is determined as the superimposed distribution model.

[0038] Specifically, carbon potential at power nodes is obtained from carbon emission distribution information of power grids. Carbon potential at a power node refers to the carbon emissions corresponding to a unit of electricity consumption at a given node in the power grid. This physical quantity characterizes the carbon emission intensity level of the power grid at that node and is used to measure the carbon emission responsibility borne by electricity consumers when they draw electricity from that node. Similarly, carbon potential at natural gas nodes is obtained from carbon emission distribution information of natural gas networks. Natural gas node carbon potential refers to the carbon emissions corresponding to a unit of gas consumption at a given node in the natural gas network. This physical quantity characterizes the carbon emission intensity level of the natural gas network at that node and is used to measure the carbon emission responsibility borne by natural gas consumers when they draw gas from that node. Finally, carbon potential at thermal power nodes is obtained from carbon emission distribution information of heating networks. Carbon potential at thermal power nodes refers to the carbon emissions corresponding to a unit of heat consumption at a given node in the heating network. This physical quantity characterizes the carbon emission intensity level of the heating network at that node and is used to measure the carbon emission responsibility borne by heat consumers when they draw heat energy from that node.

[0039] This section analyzes energy conversion topology relationships. Energy conversion topology relationships refer to structured information describing the types of energy networks connected to the input side and output side at a multi-energy coupling node, as well as the conversion correspondence between input and output energy. Input energy flow refers to the energy carrier flowing from the input-side energy network into the energy conversion equipment at the multi-energy coupling node, including at least one of electricity, natural gas, and heat. Output energy flow refers to the energy carrier flowing out of the output-side energy network after energy conversion at the multi-energy coupling node, including at least one of electricity, natural gas, and heat. Conversion efficiency refers to the ratio of the effective energy contained in the output energy flow to the total energy contained in the input energy flow during the process of converting the input energy flow into the output energy flow at the multi-energy coupling node. This ratio characterizes the degree of energy conversion efficiency of the energy conversion equipment.

[0040] The energy loss rate during energy conversion is calculated based on conversion efficiency. The energy loss rate refers to the proportion of the total energy contained in the input energy flow that is not converted into effective energy for the output energy flow and is dissipated during the energy conversion process at the multi-energy coupling node. There is a complementary relationship between the energy loss rate and conversion efficiency: the higher the conversion efficiency, the lower the energy loss rate, and vice versa. The energy loss rate is equal to the difference between one and the conversion efficiency.

[0041] Based on the energy loss rate combined with the carbon emission allocation weight, a carbon flow coupling transmission loss factor reflecting the intensity change of carbon flow during the coupling transmission process is obtained. The carbon emission allocation weight is a proportional coefficient determined according to the operating characteristics of energy conversion equipment at multi-energy coupling nodes and the principle of carbon emission responsibility allocation, used to distribute the carbon emissions corresponding to energy loss between the input-side and output-side energy networks. The carbon flow coupling transmission loss factor is the ratio by which the carbon flow intensity carried by a unit output energy flow changes relative to the carbon flow intensity carried by a unit input energy flow when carbon flow flows from the input-side energy network to the output-side energy network via multi-energy coupling nodes, due to energy dissipation represented by the energy loss rate at the multi-energy coupling nodes. This ratio is calculated by multiplying the energy loss rate and the carbon emission allocation weight, reflecting the intensity change characteristics of carbon flow at multi-energy coupling nodes during cross-energy network transmission. For example, based on analyzing the energy conversion topology and obtaining the conversion efficiency of input energy flow to output energy flow at multi-energy coupling nodes, the conversion efficiency is expressed by the following calculation logic: η=E out / E in Where η represents the conversion efficiency, E in E represents the total energy contained in the input energy flow. outThis indicates the effective energy contained in the output energy flow. The conversion efficiency ranges from 0 to 1. When the conversion efficiency is equal to 1, it means that there is no energy loss during the energy conversion process. When the conversion efficiency is less than 1, it means that there is energy dissipation during the energy conversion process.

[0042] Based on the conversion efficiency, the energy loss rate is calculated according to the complementary relationship between conversion efficiency and energy loss rate. This calculation logic is expressed as: δ loss =1-η, where δ loss Let η represent the energy loss rate, and let η represent the conversion efficiency. The energy loss rate represents the proportion of the total energy contained in the input energy flow that is dissipated during the energy conversion process at the multi-energy coupling node without being converted into effective energy. The energy loss rate also ranges from 0 to 1, and the sum of the energy loss rate and the conversion efficiency equals 1.

[0043] Based on the energy loss rate, the carbon flow coupling transfer loss factor is calculated according to the product of the energy loss rate and the carbon emission allocation weight. The calculation logic is expressed as: γ=α×δ loss Where γ represents the carbon flow coupling and transfer loss factor, α represents the carbon emission allocation weight, and δ loss This represents the energy loss rate. The carbon flow coupling transfer loss factor ranges from 0 to 1. When α is 1, it means that the carbon emissions corresponding to all energy losses are included in the output-side energy network; when α is 0, it means that the carbon emissions corresponding to all energy losses are retained in the input-side energy network. The specific value of the carbon emission allocation weight is predetermined based on the operating characteristics of the energy conversion equipment at the multi-energy coupling node and the carbon emission responsibility allocation principle.

[0044] Furthermore, the carbon flow during its transfer from the input-side energy network to the output-side energy network at the multi-energy coupling node satisfies a carbon flow conservation relationship, which is expressed by the following computational logic: C in =C out +C loss C in C represents the carbon flow into the multi-energy coupling node from the input-side energy network. out C represents the carbon flow from the multi-energy coupling node to the output-side energy network. loss This represents the carbon flux due to energy loss during energy conversion at a multi-energy coupling node. (C) loss Calculated based on the product of energy loss rate and input carbon flow, and expressed as: C loss =δ loss ×C in The carbon flow coupling transfer loss factor γ = α × δ loss Substituting the carbon flow conservation relation, the relationship between the output-side carbon flow rate and the input-side carbon flow rate can be expressed as: Cout =(1-γ)×C in This relationship indicates that the carbon flow coupling and transmission loss factor γ directly determines the degree of attenuation of the output carbon flow relative to the input carbon flow during the transmission of carbon flow across energy networks. When the value of γ is larger, the degree of attenuation of the output carbon flow is greater, and when the value of γ is smaller, the degree of attenuation of the output carbon flow is smaller.

[0045] Identifying the energy conversion direction of a multi-energy coupling node refers to the unidirectional conversion path by which the energy conversion device at the multi-energy coupling node converts the input-side energy flow into the output-side energy flow. This direction is determined by the physical structure and working principle of the energy conversion device at the multi-energy coupling node. The input-side energy network refers to the energy network that supplies energy to the energy conversion device at the multi-energy coupling node, while the output-side energy network refers to the energy network that receives the energy converted by the energy conversion device at the multi-energy coupling node. Determining the input-side and output-side energy networks involves assigning input-side and output-side roles to the energy networks connected on both sides of the energy conversion direction at the multi-energy coupling node, respectively.

[0046] Obtaining the nodal carbon potential of the input-side energy network as the baseline carbon potential serves as the initial reference value for subsequent correction calculations, based on the nodal carbon potential data in the carbon emission distribution information of each energy network. The baseline carbon potential refers to the nodal carbon potential value extracted from the carbon emission distribution information of the input-side energy network, corresponding to the input-side location of the multi-energy coupling node. This value serves as the original carbon potential reference benchmark on the input side before the carbon flow is coupled and transferred at the multi-energy coupling node.

[0047] Determining the carbon potential transfer coefficient based on the carbon flow coupling transfer loss factor involves transforming the carbon flow coupling transfer loss factor into a ratio parameter describing the numerical change of carbon potential during the transfer process across energy networks. The carbon potential transfer coefficient describes the ratio of the change in carbon potential at the output-side energy network nodes relative to the input-side energy network nodes after the carbon flow originates from the input-side energy network and flows through multi-energy coupling nodes to the output-side energy network. This coefficient is determined based on a joint calculation of the carbon flow coupling transfer loss factor and the carbon flow conservation relationship. The relationship between the carbon potential transfer coefficient and the carbon flow coupling transfer loss factor is that the carbon potential transfer coefficient equals 1 minus the carbon flow coupling transfer loss factor. This relationship reflects the degree of attenuation of the output-side derived carbon potential relative to the input-side baseline carbon potential.

[0048] Correcting the baseline carbon potential using the carbon potential transfer coefficient involves multiplying the baseline carbon potential by the carbon potential transfer coefficient to calculate the derived carbon potential of the output-side energy network. The derived carbon potential refers to the effective carbon potential value obtained at the corresponding node in the output-side energy network after the carbon flow is transferred from the input-side energy network to the output-side energy network at a multi-energy coupling node. This value is equal to the product of the baseline carbon potential and the carbon potential transfer coefficient. The calculation of the derived carbon potential extends the carbon potential value, which originally only existed in the input-side energy network, to the output-side energy network through correction of the carbon flow coupling transfer loss factor.

[0049] Weighted aggregation of the baseline carbon potential and derived carbon potential involves combining the baseline carbon potential of the input-side energy network and the derived carbon potential of the output-side energy network according to the energy balance relationship at the multi-energy coupling node, generating a comprehensive node carbon potential. Weighted aggregation refers to a calculation method that uses the energy proportions of the input-side and output-side energy flows at the multi-energy coupling node as weighting coefficients, multiplying the baseline carbon potential and derived carbon potential by their respective weighting coefficients, and then summing them. The comprehensive node carbon potential is the integrated carbon potential value obtained after the above weighted aggregation calculation, which simultaneously reflects the original carbon potential contribution of the input-side energy network and the derived carbon potential contribution of the output-side energy network. This value serves as the final output result that uniformly represents the carbon potential level at the multi-energy coupling node, providing carbon potential data for each node in subsequent aggregation to form a superimposed distribution model. For example, the input-side energy network is denoted as network A, and the output-side energy network is denoted as network B. The node carbon potential of the input-side energy network, i.e., network A, is obtained as the baseline carbon potential, denoted as π. A The baseline carbon potential represents the original carbon potential value of the input-side energy network at the input side of the multi-energy coupling node. The carbon potential transfer coefficient, denoted as k, is determined based on the carbon flow coupling transfer loss factor γ and the carbon flow conservation relationship. The relationship between the carbon potential transfer coefficient k and the carbon flow coupling transfer loss factor γ is expressed as k = 1 - γ, where γ ranges from 0 to 1. Therefore, the carbon potential transfer coefficient k also ranges from 0 to 1. The carbon potential transfer coefficient k characterizes the proportion of the output-side derived carbon potential relative to the input-side baseline carbon potential after the carbon flow from the input-side energy network through the multi-energy coupling node to the output-side energy network. When γ = 0, k = 1 indicates that the carbon potential is completely transferred to the output side without attenuation; when γ = 1, k = 0 indicates that the carbon potential is completely attenuated and cannot be transferred to the output side.

[0050] Using the carbon potential transfer coefficient k to compare the reference carbon potential π A After correction, the derived carbon potential of the output-side energy network is calculated, denoted as π. B The calculation logic for the derived carbon potential is expressed as π. B =k×π A=(1-γ)×π A Derivative carbon potential π B It represents the effective carbon potential value obtained at the corresponding node of the output energy network after the carbon flow is transferred from the input side energy network to the output side energy network at the multi-energy coupling node due to receiving the input side carbon flow.

[0051] For the reference carbon potential π A and derived carbon potential π B Weighted aggregation is performed to generate a composite nodal carbon potential, denoted as π. c The calculation logic for the carbon potential at the integrated node is represented by π. c =w A ×π A +w B ×π B , where w A w represents the weighting coefficient of the input-side energy network. B This represents the weighting coefficient of the output-side energy network, where w is the weighting coefficient. A and w B The weighting coefficients are determined based on the energy proportions of the input and output energy flows at the multi-energy coupling node, and the weighting coefficients satisfy the normalization constraint w. A +w B =1. Furthermore, when there is only a single input-side energy network and a single output-side energy network at the multi-energy coupling node, the weighting coefficient w... A =E in / (E in +E out ), weighting coefficient w B =E out / (E in +E out ), where E in E represents the total energy contained in the input-side energy flow. out This represents the effective energy contained in the output-side energy flow. After substituting the weighting coefficients into the comprehensive node carbon potential calculation logic, π... c =(E in / (E in +E out ))×π A +(E out / (E in +E out ))×(1-γ)×π A After merging, we get π. c =π A ×(E in +E out ×(1-γ)) / (E in +E out ). Overall node carbon potential π cIt is the input-side reference carbon potential π A The integrated value, after correction of the carbon potential transfer coefficient and weighting by energy ratio, serves as the final output result that uniformly characterizes the carbon potential level at the multi-energy coupling node.

[0052] The topology diagram of an energy network is constructed. This diagram, based on graph theory, is a mathematical representation that abstractly describes the physical connections between various energy networks within a park's integrated energy system. It consists of a set of nodes and a set of edges. Nodes represent park equipment; each node in the topology diagram corresponds to an actual energy-consuming or energy-converting device within the park's integrated energy system. Energy-consuming devices include electrically driven, gas-driven, and thermally driven equipment. Energy-converting devices include gas turbines, gas boilers, electric boilers, heat pumps, waste heat recovery devices, and combined heat and power (CHP) units. Edges represent energy transmission lines; each edge connecting two nodes in the topology diagram corresponds to an actual physical energy transmission line connecting two devices within the park's integrated energy system. Energy transmission lines include power lines, natural gas pipelines, and thermal pipelines. Once the topology diagram of the energy network is constructed, the energy transmission connections between all devices in the park's integrated energy system are fully described in the form of a graph structure.

[0053] Mapping the carbon potential of integrated nodes to the topology graph means assigning the carbon potential value of each node location to the corresponding graph node in the topology graph. Node attribute data refers to the complete data structure formed by adding carbon potential attribute information to each graph node after it has been assigned a carbon potential value, in addition to its original location and device type identifiers. Node attribute data includes each graph node's node identifier, device type identifier, connected energy network type, and corresponding carbon potential value. This node attribute data ensures that each graph node in the topology graph not only describes the identity and connection information of the equipment in the park but also carries the carbon emission intensity information at that node location, thus integrating carbon potential information with the network topology.

[0054] Constructing a carbon potential topology matrix refers to the process of filling the corresponding positions in the adjacency matrix of the topology graph with the comprehensive node carbon potential values ​​from the node attribute data, according to the order of the graph nodes. This forms a matrix data structure that can simultaneously express network connectivity and node carbon potential attributes. The carbon potential topology matrix is ​​a structured representation of the carbon potential distribution data of a park's integrated energy system, expressed as a numerical matrix. The row and column indices of the carbon potential topology matrix are arranged according to the unified order of all graph nodes in the topology graph. Each row and column element in the matrix corresponds one-to-one with a unique graph node. The diagonal elements of the matrix represent the comprehensive node carbon potential value of the corresponding graph node in that row, while the off-diagonal elements represent connection identifiers reflecting whether there is an energy transmission line between two corresponding graph nodes. Determining it as a superimposed distribution model means using the constructed carbon potential topology matrix as the specific mathematical expression of the superimposed distribution model. This ensures that the superimposed distribution model is determined in the form of a carbon potential topology matrix and provides a unified multi-energy coupled carbon potential reference benchmark for subsequently determining the allocated carbon emissions of park equipment. After the superimposed distribution model is concretized into a carbon potential topology matrix, the abstract concept of the integrated node carbon potential in the previous steps is transformed into specific numerical elements in the matrix that can be calculated and indexed. The carbon potential level at any equipment node in the park's integrated energy system can be directly obtained through indexing the carbon potential topology matrix.

[0055] S4: Determine the allocated carbon emissions of the park equipment based on the superimposed distribution model.

[0056] Furthermore, this application also includes: identifying the type of energy network to which the park equipment is connected and the corresponding energy consumption component based on the energy consumption data; determining the carbon emission component of the park equipment under the energy network based on the energy consumption component and the integrated node carbon potential; and summing the carbon emission components to obtain the allocated carbon emission of the park equipment.

[0057] Furthermore, this application also includes: parsing the energy consumption data to obtain the energy consumption of the park equipment for different energy network types within a preset time period; matching the energy network nodes connected to the park equipment according to the superimposed distribution model and extracting the comprehensive node carbon potential; and calculating the product of the energy consumption and the corresponding comprehensive node carbon potential as the carbon emission component of the park equipment under the corresponding energy network type.

[0058] Furthermore, this application also includes: determining the time stamp of the carbon emission component based on the energy network operation parameters in the multi-source heterogeneous data; calculating the time lag compensation factor of the thermal carbon emission component based on the inertial characteristics of the thermal network; aligning the carbon emission component in time dimension based on the time stamp and the time lag compensation factor; and dynamically accumulating the aligned electricity carbon emission component, natural gas carbon emission component, and thermal carbon emission component within a preset accounting period to obtain the allocated carbon emission of the park equipment.

[0059] Specifically, such as Figure 2 As shown, the energy network type and corresponding energy consumption component of the park's equipment are identified based on energy consumption data. This involves classifying and identifying the types of energy consumed by each piece of equipment in the park and the consumption amount of each type. The energy network type refers to the type of energy supply network to which the park equipment is connected, including electricity networks, natural gas networks, and heating networks. The energy consumption component refers to the numerical component of the energy consumption of the park equipment for each type of connected energy network within a preset accounting period. When the park equipment is connected to an electricity network, the energy consumption component is represented by the amount of electricity consumed; when connected to a natural gas network, it is represented by the amount of gas consumed; and when connected to a heating network, it is represented by the amount of heat consumed. Identifying the energy network type and corresponding energy consumption component of the park equipment involves classifying and analyzing each piece of equipment individually, breaking down the raw energy consumption data into sub-item energy consumption records categorized by energy network type. This provides a foundation of categorized energy consumption data for subsequent item-by-item calculation of carbon emission components.

[0060] The preset time period refers to a pre-defined carbon emission accounting cycle, which is determined based on the actual needs of carbon emission management and may include a calendar year, a quarter, a month, or an operating cycle corresponding to a production batch. Energy consumption refers to the actual consumption value of park equipment on a specific energy network type within the preset time period. This value is recorded separately according to the energy network type, and is expressed as at least one of the following: equipment electricity consumption, equipment gas consumption, and equipment heat consumption. The process of parsing energy consumption data to obtain energy consumption values ​​transforms the raw energy consumption records into itemized values ​​categorized by energy network type, providing accurate energy consumption input data for subsequent carbon emission component calculations.

[0061] Matching energy network nodes connected to park equipment using an overlay distribution model and extracting the comprehensive node carbon potential involves using the overlay distribution model as a query index to obtain the corresponding node carbon potential data for each park equipment's actual network access location. Energy network nodes connected to park equipment refer to graph node locations in the park's integrated energy system topology described by the overlay distribution model that are directly connected to the park equipment via energy transmission lines. Each park equipment has at least one corresponding graph node in the overlay distribution model; when a park equipment is connected to multiple energy networks simultaneously, multiple corresponding graph nodes exist. The matching process uses the equipment identifier and the type of energy network the equipment is connected to as query conditions to locate the graph node location corresponding to the equipment in the carbon potential topology matrix of the overlay distribution model. Then, the comprehensive node carbon potential value is extracted from the node attribute data of that graph node. The extracted comprehensive node carbon potential is a carbon emission intensity conversion coefficient that matches the equipment's energy consumption under the corresponding energy network type, and is directly used for subsequent carbon emission component product calculations.

[0062] Calculating the product of energy consumption and the corresponding integrated node carbon potential, and using the result as the carbon emission component of park equipment under the corresponding energy network type, involves arithmetically multiplying the energy consumption value (energy consumption figure) and the integrated node carbon potential (carbon emission intensity conversion coefficient) to obtain the carbon emission amount. The product of energy consumption and the corresponding integrated node carbon potential represents the carbon emission value per unit of energy consumption multiplied by the actual energy consumption value. The result, as the carbon emission component of park equipment under the corresponding energy network type, means that this product value represents the carbon emission amount generated by the equipment in a single energy network type due to the consumption of that type of energy. This carbon emission component is linked to the corresponding energy network type. After the carbon emission component is calculated, the product results under different energy network types represent the carbon emission contribution value of the equipment under different energy network types.

[0063] Determining the time stamps for carbon emission components based on energy network operating parameters from multi-source heterogeneous data involves associating carbon emission components with time information. Energy network operating parameters include timestamps recording the data collection time. A time stamp is a time marker attached to each carbon emission component, containing the start and end times of the energy consumption activity corresponding to that component. The process of determining the time stamps for carbon emission components involves assigning a time stamp to each component based on the timestamps of the energy consumption data it's based on. This ensures that each carbon emission component has traceable time-based location information, providing a time reference for subsequent time dimension alignment.

[0064] Calculating the time lag compensation factor for thermal carbon emissions based on the inertial characteristics of a thermal network is a process that corrects the temporal positioning of thermal carbon emissions by taking into account the physical time delay in heat transfer within the thermal network. The inertial characteristics of a thermal network refer to the fact that, due to the limited flow velocity of the heat medium and the heat capacity of the pipes, heat generated at the heat source takes a certain time to reach the heat load. Simultaneously, heat loss along the pipes causes gradual temperature changes. This characteristic manifests as changes in thermal network operating parameters lagging behind changes in the operating conditions of the heat source equipment. The time lag compensation factor is a numerical parameter determined based on the inertial characteristics of the thermal network, used to quantify the degree of temporal lag of thermal carbon emissions relative to electricity and natural gas carbon emissions. This parameter reflects the time offset between the occurrence of heat consumption and heat supply corresponding to the thermal carbon emissions. The specific value of the time lag compensation factor for thermal carbon emissions is determined in advance based on the pipeline length, heat medium flow velocity, pipeline insulation condition, and pipeline heat capacity parameters of the thermal network.

[0065] Time dimension alignment of carbon emission components based on time tags and time lag compensation factors involves rearranging the carbon emission components of electricity, natural gas, and heat according to a unified time benchmark. Time dimension alignment refers to normalizing the time tags of carbon emission components under different energy network types according to the same time coordinate system, so that carbon emission components belonging to the same preset time period can be compared and accumulated on the same time section. Specific methods for time dimension alignment include: for electricity and natural gas carbon emission components, directly using the time tags obtained during their respective energy consumption data collection as the time positioning basis; for heat carbon emission components, calculating the original time tags of the heat carbon emission components with the time lag compensation factor to obtain corrected time tags after lag compensation correction, so that the position of the heat carbon emission components on the time axis matches its actual heat consumption time. After time dimension alignment, carbon emission components of different energy network types are distributed on the time axis of the preset time period according to a unified time benchmark.

[0066] The aligned carbon emissions from electricity, natural gas, and heat are dynamically accumulated within a preset accounting period to obtain the allocated carbon emissions from the park's equipment. This process involves summing the three carbon emission components, aligned over time, according to the preset accounting period's time range. The preset accounting period refers to a pre-defined time range for carbon emission accounting, determined based on carbon emission management needs. Dynamic accumulation means adding each aligned carbon emission component to the total accumulated amount within the accounting period in chronological order. The total accumulated amount is updated each time a new aligned carbon emission component appears. The aligned carbon emissions from electricity, natural gas, and heat refer to the individual carbon emission values ​​distributed across different time points within the preset accounting period under a unified time benchmark after time-dimensional alignment. After dynamically accumulating the three time-aligned components within a preset accounting period, the resulting total accumulation represents the allocated carbon emissions of the park's equipment within that period. This allocated carbon emissions simultaneously reflects the contributions of electricity consumption, natural gas consumption, and heat consumption to the equipment's carbon emissions, with each contribution aligned and compensated over time. After dynamic accumulation, precise accumulation on a time scale is achieved using the time tags of each carbon emission component and a previously calculated time lag compensation factor.

[0067] In summary, the data analysis-based carbon emission allocation management method for park equipment provided in this application has the following technical effects: by realizing the tracking of carbon flow transmission paths across energy networks at multi-energy coupling nodes and quantifying the impact of energy loss on carbon flow intensity, the technical goal of establishing a complete carbon emission transmission chain from upstream heterogeneous energy networks to downstream equipment is achieved, thereby improving the accuracy of carbon emission allocation results for downstream equipment at multi-energy coupling nodes and the integrity of the overall carbon footprint traceability chain of the park.

[0068] Example 2: Based on the same inventive concept as the data analysis-based carbon emission allocation management method for park equipment in the foregoing examples, this application also provides a data analysis-based carbon emission allocation management system for park equipment. Please refer to [link to relevant documentation]. Figure 3The system includes: a data acquisition module 1, used to acquire multi-source heterogeneous data of park equipment; an information acquisition module 2, used to perform carbon flow tracing on the energy network based on the multi-source heterogeneous data, identify the energy conversion topology at multi-energy coupling nodes, and obtain carbon emission distribution information of the power network, natural gas network, and heating network; a model construction module 3, used to superimpose the carbon emission distribution information of the power network, the natural gas network, and the heating network by equipment node, calculate the carbon flow coupling transmission loss factor based on the energy conversion topology, and construct a superimposed distribution model; and a carbon emission determination module 4, used to determine the allocated carbon emission of the park equipment based on the superimposed distribution model.

[0069] Furthermore, the data analysis-based carbon emission allocation management system for park equipment is also used to: include at least the operating parameters of the power network, the operating parameters of the natural gas network, the operating parameters of the heating network, and the energy consumption data of the park equipment.

[0070] Furthermore, the data analysis-based carbon emission allocation management system for park equipment is also used to: obtain the carbon potential of power nodes from the carbon emission distribution information of the power network, obtain the carbon potential of natural gas nodes from the carbon emission distribution information of the natural gas network, and obtain the carbon potential of thermal nodes from the carbon emission distribution information of the thermal network; calculate the carbon flow coupling transmission loss factor based on the energy conversion topology, and perform coupling correction on the carbon potential of power nodes, natural gas nodes, and thermal nodes to obtain the corrected comprehensive node carbon potential; and aggregate the comprehensive node carbon potential to form the superimposed distribution model.

[0071] Furthermore, the data analysis-based carbon emission allocation management system for park equipment is also used to: analyze the energy conversion topology to obtain the conversion efficiency of the input energy flow to the output energy flow at the multi-energy coupling node; calculate the energy loss rate during the energy conversion process based on the conversion efficiency; and calculate the carbon flow coupling transmission loss factor, which reflects the intensity change of the carbon flow during the coupling transmission process, based on the energy loss rate and the carbon emission allocation weight.

[0072] Furthermore, the data analysis-based carbon emission allocation management system for park equipment is also used for: identifying the energy conversion direction of the multi-energy coupling nodes, determining the input-side energy network and the output-side energy network; obtaining the node carbon potential of the input-side energy network as the baseline carbon potential; determining the carbon potential transfer coefficient of the carbon flow from the input-side energy network to the output-side energy network according to the carbon flow coupling transfer loss factor; correcting the baseline carbon potential using the carbon potential transfer coefficient to calculate the derived carbon potential of the output-side energy network; and weighted aggregating the baseline carbon potential and the derived carbon potential to generate the comprehensive node carbon potential.

[0073] Furthermore, the data analysis-based carbon emission allocation management system for park equipment is also used for: constructing a topology diagram of the energy network, wherein nodes represent park equipment and edges represent energy transmission lines; mapping the comprehensive node carbon potential to the topology diagram to generate node attribute data; and constructing a carbon potential topology matrix based on the topology diagram and the node attribute data to determine the superimposed distribution model.

[0074] Furthermore, the data analysis-based carbon emission allocation management system for park equipment is also used to: identify the type of energy network accessed by the park equipment and the corresponding energy consumption component based on the energy consumption data; determine the carbon emission component of the park equipment under the energy network based on the energy consumption component and the comprehensive node carbon potential; and sum the carbon emission components to obtain the allocated carbon emission amount of the park equipment.

[0075] Furthermore, the data analysis-based carbon emission allocation management system for park equipment is also used to: parse the energy consumption data to obtain the energy consumption of the park equipment for different energy network types within a preset time period; match the energy network nodes connected to the park equipment according to the superimposed distribution model and extract the comprehensive node carbon potential; calculate the product of the energy consumption and the corresponding comprehensive node carbon potential as the carbon emission component of the park equipment under the corresponding energy network type.

[0076] Furthermore, the data analysis-based carbon emission allocation management system for park equipment is also used to: determine the time stamp of the carbon emission component based on the energy network operating parameters in the multi-source heterogeneous data; calculate the time lag compensation factor of the thermal carbon emission component based on the inertial characteristics of the thermal network; align the carbon emission component in terms of time dimension based on the time stamp and the time lag compensation factor; and dynamically accumulate the aligned electricity carbon emission component, natural gas carbon emission component, and thermal carbon emission component within a preset accounting period to obtain the allocated carbon emission amount of the park equipment.

[0077] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on the differences from other embodiments. The data analysis-based carbon emission allocation management method and specific examples in the aforementioned Embodiment 1 are also applicable to the data analysis-based carbon emission allocation management system for park equipment in this embodiment. Through the foregoing detailed description of the data analysis-based carbon emission allocation management method for park equipment, those skilled in the art can clearly understand the data analysis-based carbon emission allocation management system for park equipment in this embodiment. Therefore, for the sake of brevity, it will not be described in detail here.

[0078] The above description of the disclosed embodiments enables those skilled in the art to make or use this application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of this application. Therefore, this application is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

[0079] Obviously, those skilled in the art can make various modifications and variations to this application without departing from the spirit and scope of this application. Therefore, if such modifications and variations fall within the scope of this application and its equivalents, this application also intends to include such modifications and variations.

Claims

1. A data-driven approach to carbon emission allocation management for industrial park equipment, characterized in that: include: Acquire multi-source heterogeneous data from equipment within the park; Based on the multi-source heterogeneous data, carbon flow tracing is performed on the energy network to identify the energy conversion topology at multi-energy coupling nodes, thereby obtaining carbon emission distribution information for the power network, the natural gas network, and the heating network. The carbon emission distribution information of the power network, the carbon emission distribution information of the natural gas network, and the carbon emission distribution information of the heating network are superimposed according to the equipment nodes. Based on the energy conversion topology, the carbon flow coupling and transmission loss factor is calculated to construct the superimposed distribution model. Based on the superimposed distribution model, the allocated carbon emissions of the park equipment are determined; Constructing a superimposed distribution model includes: Carbon potential of power nodes is obtained from the carbon emission distribution information of the power network, carbon potential of natural gas nodes is obtained from the carbon emission distribution information of the natural gas network, and carbon potential of thermal nodes is obtained from the carbon emission distribution information of the thermal network. Based on the energy conversion topology, the carbon flow coupling transfer loss factor is calculated, and the carbon potential of the power node, the carbon potential of the natural gas node, and the carbon potential of the thermal node are coupled and corrected to obtain the corrected comprehensive node carbon potential. The combined nodal carbon potentials are aggregated to form the superimposed distribution model; The carbon flow coupling transfer loss factor is calculated based on the energy conversion topology, including: The energy conversion topology is analyzed to obtain the conversion efficiency of the input energy flow to the output energy flow at the multi-energy coupling node; Calculate the energy loss rate during the energy conversion process based on the conversion efficiency. Based on the energy loss rate and combined with the carbon emission allocation weight, the carbon flow coupling transmission loss factor, which reflects the intensity change of carbon flow during the coupling transmission process, is calculated. The corrected composite nodal carbon potential is obtained, including: Identify the energy conversion direction of the multi-energy coupling node to determine the input-side energy network and the output-side energy network; Obtain the node carbon potential of the input-side energy network as the baseline carbon potential; Based on the carbon flow coupling transfer loss factor, determine the carbon potential transfer coefficient of the carbon flow from the input-side energy network to the output-side energy network; The reference carbon potential is corrected using the carbon potential transfer coefficient to calculate the derived carbon potential of the output-side energy network. The baseline carbon potential and the derived carbon potential are weighted and aggregated to generate the comprehensive node carbon potential.

2. The data analysis-based carbon emission allocation management method for industrial park equipment as described in claim 1, characterized in that, The multi-source heterogeneous data includes at least power network operating parameters, natural gas network operating parameters, heating network operating parameters, and energy consumption data of park equipment.

3. The data analysis-based carbon emission allocation management method for industrial park equipment as described in claim 2, characterized in that, The composite nodal carbon potential is aggregated to form the superimposed distribution model, including: Construct a topology diagram of the energy network, where nodes represent park equipment and edges represent energy transmission lines; The integrated node carbon potential is mapped to the topology diagram to generate node attribute data; Based on the topology diagram and the node attribute data, a carbon potential topology matrix is ​​constructed and determined as the superposition distribution model.

4. The data analysis-based carbon emission allocation management method for industrial park equipment as described in claim 3, characterized in that, Determining the allocated carbon emissions of the park's equipment includes: Based on the energy consumption data, identify the type of energy network to which the park equipment is connected and the corresponding energy consumption component; Based on the energy consumption component and the integrated node carbon potential, the carbon emission component of the park equipment under the energy network is determined. Summing the carbon emission components yields the allocated carbon emissions from the park's equipment.

5. The data analysis-based carbon emission allocation management method for industrial park equipment as described in claim 4, characterized in that, Determining the carbon emission component of the park equipment under the energy network includes: Analyze the energy consumption data to obtain the energy consumption of the park equipment for different energy network types within a preset time period; Based on the superimposed distribution model, energy network nodes connected to the park equipment are matched, and the comprehensive node carbon potential is extracted. The product of the energy consumption and the corresponding integrated node carbon potential is calculated as the carbon emission component of the park equipment under the corresponding energy network type.

6. The data analysis-based carbon emission allocation management method for industrial park equipment as described in claim 5, characterized in that, Summing the carbon emission components yields the allocated carbon emissions of the park's equipment, including: The time stamp of carbon emission components is determined based on the energy network operation parameters in the multi-source heterogeneous data; Based on the inertial characteristics of the thermal network, the time lag compensation factor of the thermal carbon emission component is calculated. Based on the time tag and the time lag compensation factor, the carbon emission components are aligned in the time dimension. The aligned carbon emission components of electricity, natural gas, and heat are dynamically accumulated within a preset accounting period to obtain the allocated carbon emission of the park's equipment.

7. A data analysis-based carbon emission allocation management system for industrial park equipment, characterized in that, The steps for implementing the data analysis-based carbon emission allocation management method for park equipment according to any one of claims 1 to 6 include: The data acquisition module is used to acquire multi-source heterogeneous data from equipment in the park; The information acquisition module is used to perform carbon flow tracing on the energy network based on the multi-source heterogeneous data, identify the energy conversion topology at the multi-energy coupling nodes, and obtain carbon emission distribution information of the power network, carbon emission distribution information of the natural gas network, and carbon emission distribution information of the heating network. The model building module is used to superimpose the carbon emission distribution information of the power network, the carbon emission distribution information of the natural gas network, and the carbon emission distribution information of the heating network according to the equipment nodes, calculate the carbon flow coupling and transmission loss factor based on the energy conversion topology, and construct the superimposed distribution model; The carbon emission determination module is used to determine the allocated carbon emissions of the park equipment based on the superimposed distribution model.

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