Power transmission and transformation project carbon emission accounting method and device

By classifying and clustering the various engineering links of the power transmission and transformation project, and determining typical engineering links, the problem that traditional carbon emission accounting methods are difficult to accurately reflect the actual emissions situation is solved, and rapid and accurate carbon emission accounting and effective manage.

CN119514876APending Publication Date: 2025-02-25ECONOMIC TECH RES INST OF STATE GRID ANHUI ELECTRIC POWER +2
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Patent Information

Application Number
CN202411665359.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-11-20
Publication Date
2025-02-25

AI Technical Summary

Technical Problem

Traditional carbon emission accounting methods are difficult to quickly and accurately reflect the actual emissions during the construction of power transmission and transformation projects, and lack effective control and management methods.

Method used

By classifying each engineering link of the power transmission and transformation project based on preset category information, multiple engineering links are formed, and clustering is carried out for each collection, typical engineering links are determined, and carbon emissions are then calculated.

Benefits of technology

It has achieved rapid and accurate carbon emission accounting for power transmission and transformation projects, helping to effectively control and manage carbon emissions.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention provides a power transmission and transformation project carbon emission accounting method and device, and belongs to the field of power systems. The method comprises the following steps: firstly, classifying each project link of the power transmission and transformation project based on preset category information, dividing the project links with the same or similar categories into the same project link set to obtain a plurality of project link sets, and then aiming at each project link set, according to the carbon emission information of each project link in the set, calculating the carbon emission information of each project link in the set; and clustering processing is carried out on each engineering link set, typical engineering links in the sets are determined, and finally the carbon emission of the power transmission and transformation project is calculated based on the carbon emission information of the typical engineering links in each engineering link set. According to the embodiment of the invention, the carbon emission accounting of the power transmission and transformation project is carried out based on the typical project links with representativeness in the aspect of carbon emission, the rapid and accurate carbon emission accounting of the power transmission and transformation project can be realized, and the carbon emission of the power transmission and transformation project can be effectively controlled and managed.
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Description

Technical Field

[0001] The present application relates to the field of power systems, and in particular to a method and device for calculating carbon emissions from power transmission and transformation projects. Background Art

[0002] As an important part of energy transmission, the monitoring and reduction of carbon emissions in power transmission and transformation projects has become a hot topic of research, which is of great significance to the low-carbon transformation of the power industry.

[0003] Traditional carbon emission accounting methods often rely on static data and empirical models, which are difficult to accurately reflect the actual emissions during the construction process. In addition, due to the complexity and diversity of power transmission and transformation projects, there is currently a lack of a fast and accurate carbon emission accounting method for power transmission and transformation projects, which limits the effective control and management of carbon emissions. Summary of the invention

[0004] The embodiments of the present application provide a method and device for calculating carbon emissions from power transmission and transformation projects to solve the problem of being unable to quickly and accurately calculate carbon emissions from power transmission and transformation projects.

[0005] In a first aspect, an embodiment of the present application provides a method for calculating carbon emissions of a power transmission and transformation project, including:

[0006] Based on the preset category information, each engineering link of the power transmission and transformation project is classified to obtain a plurality of engineering link sets; wherein each engineering link set includes one or more engineering links of the power transmission and transformation project, and the categories of the engineering links in one engineering link set are the same or similar;

[0007] For each set of engineering links, cluster the sets of engineering links according to the carbon emission information of each engineering link in the set, and determine the typical engineering links in the set;

[0008] The carbon emissions of power transmission and transformation projects are calculated based on the carbon emission information of typical engineering links in each engineering link set.

[0009] In a possible implementation, for each set of engineering links, clustering is performed on each set of engineering links according to the carbon emission information of each engineering link in the set to determine a typical engineering link in the set, including:

[0010] For each set of engineering links, the carbon emissions of each engineering link in the set are taken as sample points, and the sample density of each sample point and the distance between each sample point are calculated;

[0011] Determine the cluster center according to the sample density of each sample point and the distance between each sample point;

[0012] Based on the cluster center of each engineering link set, the typical engineering link in each engineering link set is determined.

[0013] In a possible implementation, determining the cluster center according to the sample density of each sample point and the distance between each sample point includes:

[0014] For each sample point, according to the sample density of each sample point and the distance between each sample point, determine the minimum distance between the sample and the sample point whose sample density is higher than its own sample density;

[0015] The cluster center is determined according to the sample density and minimum distance corresponding to each sample point.

[0016] In a possible implementation, determining the cluster center according to the sample density and the minimum distance value corresponding to each sample point includes:

[0017] For each sample point, calculate the product of the corresponding sample density and the minimum distance value;

[0018] According to the size of the calculated product value, each sample point is sorted to obtain a sample point sequence; wherein each sample point in the sample point sequence is arranged from large to small according to the corresponding product value;

[0019] The first sample point in the sample point sequence is determined as the cluster center.

[0020] In a possible implementation, the determining of the typical engineering link in each engineering link set based on the cluster center of each engineering link set includes:

[0021] Based on the cluster center of each engineering link set, determine the clustering result of each engineering link set;

[0022] Correct the clustering results of each engineering link set;

[0023] For the clustering results of each engineering link set after correction, the engineering link corresponding to the corresponding cluster center is determined as the typical engineering link of the engineering link set.

[0024] In a possible implementation, the correcting of the clustering result of each engineering link set includes:

[0025] Calculate the cohesion and separation of the clustering results of each engineering link set, as well as the similarity within the cluster and the difference between clusters;

[0026] The clustering results of each engineering link set are evaluated and corrected according to the cohesion and separation, the intra-cluster similarity and inter-cluster difference, and preset conditions.

[0027] In a possible implementation, it is characterized in that the preset category information is determined according to different stages of the power transmission and transformation project construction;

[0028] Based on the preset category information, each engineering link of the power transmission and transformation project is classified to obtain multiple engineering link sets, including:

[0029] Based on the preset category information, the various engineering links of the power transmission and transformation project are classified to obtain a construction link set, a building materials production and transportation link set, an operation and maintenance link set, and a dismantling and recycling link set.

[0030] In a possible implementation, the carbon emission amount of the power transmission and transformation project is calculated based on the carbon emission information of the typical engineering link in each engineering link set, including:

[0031] Based on a preset allocation principle, the remaining sample points except the cluster center are allocated to determine the sample points in the same cluster as the cluster center; wherein the preset allocation principle includes allocating each remaining sample point to the cluster where its nearest neighbor with a greater density is located;

[0032] The carbon emissions of power transmission and transformation projects are calculated based on the number of sample points in the same cluster as the cluster center in each engineering link set and the carbon emission information of typical engineering links in each engineering link set.

[0033] In a first aspect, an embodiment of the present application provides a carbon emission accounting device for a power transmission and transformation project, comprising:

[0034] The first processing unit is used to classify each engineering link of the power transmission and transformation project based on preset category information to obtain multiple engineering link sets; wherein each engineering link set includes one or more engineering links of the power transmission and transformation project, and the categories of the engineering links in one engineering link set are the same or similar;

[0035] The second processing unit is used to perform clustering processing on each engineering link set according to the carbon emission information of each engineering link in the set, and determine the typical engineering link in the set;

[0036] The accounting unit is used to calculate the carbon emissions of the power transmission and transformation project based on the carbon emission information of the typical engineering links in each engineering link set.

[0037] In a possible implementation manner, the second processing unit is specifically configured to:

[0038] For each set of engineering links, the carbon emissions of each engineering link in the set are taken as sample points, and the sample density of each sample point and the distance between each sample point are calculated;

[0039] Determine the cluster center according to the sample density of each sample point and the distance between each sample point;

[0040] Based on the cluster center of each engineering link set, the typical engineering link in each engineering link set is determined.

[0041] The embodiment of the present application provides a method and device for calculating carbon emissions of power transmission and transformation projects. First, based on preset category information, each engineering link of the power transmission and transformation project is classified, and engineering links of the same or similar categories are divided into the same engineering link set to obtain multiple engineering link sets. Then, for each engineering link set, according to the carbon emission information of each engineering link in the set, each engineering link set is clustered to determine the typical engineering link in the set. This embodiment first classifies each engineering link, improves the efficiency of subsequent clustering, and can quickly obtain typical engineering links; finally, based on the carbon emission information of the typical engineering link in each engineering link set, the carbon emissions of the power transmission and transformation project are calculated. This embodiment calculates the carbon emissions of the power transmission and transformation project based on the typical engineering links that are representative in terms of carbon emissions, which can achieve fast and accurate carbon emission accounting of the power transmission and transformation project, and further, helps to effectively control and manage the carbon emissions of the power transmission and transformation project. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0043] Figure 1 It is a flow chart for implementing a method for calculating carbon emissions of a power transmission and transformation project provided in an embodiment of the present application;

[0044] Figure 2 It is a flowchart of another method for calculating carbon emissions of power transmission and transformation projects provided in an embodiment of the present application;

[0045] Figure 3 It is a structural schematic diagram of a carbon emission accounting device for a power transmission and transformation project provided in an embodiment of the present application. DETAILED DESCRIPTION

[0046] In the following description, specific details such as specific system structures, technologies, etc. are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present application. However, it should be clear to those skilled in the art that the present application may also be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to prevent unnecessary details from obstructing the description of the present application. SUMMARY OF THE INVENTION

[0048] After research, the applicant found that traditional carbon emission accounting methods often rely on static data and empirical models. When using static data for accounting, there are problems such as different accounting boundaries, large differences in activity level data classification, and different emission factor selection principles. Empirical models have limitations when dealing with data sets with complex shapes and densities, and it is difficult to accurately reflect the actual emissions during engineering construction. At present, there is a lack of a method that can quickly and accurately identify and extract typical modules of carbon emissions, which limits the effective control and management of carbon emissions.

[0049] In order to improve the efficiency and accuracy of carbon emission accounting for power transmission and transformation projects, the embodiment of the present application first classifies each engineering link of the power transmission and transformation project based on preset category information, and classifies engineering links of the same or similar categories into the same engineering link set to obtain multiple engineering link sets, and then for each engineering link set, clusters each engineering link set according to the carbon emission information of each engineering link in the set to determine the typical engineering link in the set. This embodiment first classifies each engineering link, improves the efficiency of subsequent clustering, and can quickly obtain typical engineering links; finally, based on the carbon emission information of the typical engineering link in each engineering link set, the carbon emissions of the power transmission and transformation project are calculated. This embodiment performs carbon emission accounting for power transmission and transformation projects based on typical engineering links that are representative in terms of carbon emissions, which can achieve fast and accurate carbon emission accounting for power transmission and transformation projects, and further, helps to effectively control and manage carbon emissions of power transmission and transformation projects.

[0050] In order to make the purpose, technical solutions and advantages of the present application clearer, specific embodiments will be described below in conjunction with the accompanying drawings.

[0051] Figure 1 A flowchart for implementing a method for calculating carbon emissions of a power transmission and transformation project provided in an embodiment of the present application is described in detail as follows:

[0052] Step 101, based on preset category information, classify each engineering link of the power transmission and transformation project to obtain multiple engineering link sets; wherein each engineering link set includes one or more engineering links of the power transmission and transformation project, and the categories of the engineering links in an engineering link set are the same or similar.

[0053] Among them, the preset category information can be determined according to the different stages of the power transmission and transformation project construction.

[0054] The same category of engineering links can mean that two or more engineering links are consistent in all key elements. The key elements include but are not limited to work content, work purpose, technical methods adopted, tools and equipment used, quality control standards, and impact on subsequent links.

[0055] Similar categories of engineering links can mean that the same key elements in each key element of two or more engineering links exceed a certain proportion.

[0056] In one example, a power transmission and transformation project may include substation steel bar transportation, substation concrete transportation, overhead transmission line project earthwork engineering, cable transmission line project cable laying, substation project masonry engineering, overhead transmission line tower engineering, overhead transmission line project wiring engineering, substation project heating engineering, substation equipment operating status intelligent monitoring, substation relay protection equipment maintenance, 750kV single-phase double-winding transformer full life cycle, 220kV high-voltage reactor transportation, foundation treatment engineering, masonry engineering, steel structure engineering, diesel generator set installation, precast concrete component engineering, reinforced concrete pile engineering, modular substation installation engineering, photovoltaic panel power generation, air conditioning and ventilation system, 220kV three-winding transformer dismantling and recycling engineering, and 110kV double-winding transformer full life cycle.

[0057] In a feasible implementation, this embodiment can classify various engineering links of the power transmission and transformation project based on preset category information to obtain a construction link set, a building materials production and transportation link set, an operation and maintenance link set, and a dismantling and recycling link set.

[0058] Among them, the collection of construction links can include: earthwork engineering of overhead transmission line projects, cable laying of cable transmission line projects, masonry engineering of substation projects, overhead transmission line tower projects, overhead transmission line project wiring projects, heating projects of substation projects, foundation treatment projects, masonry projects, steel structure projects, installation of diesel generator sets, precast concrete component projects, reinforced concrete pile projects and modular substation installation projects.

[0059] The collection of building materials production and transportation links can include: substation steel bar transportation, substation concrete transportation and 220kV high-voltage reactor transportation.

[0060] The operation and maintenance links may include: intelligent monitoring of substation equipment operating status, maintenance of substation relay protection equipment, the entire life cycle of 750kV single-phase double-winding transformers, photovoltaic panel power generation, and air conditioning and ventilation systems.

[0061] The collection of dismantling and recycling links can include: 220kV three-winding transformer dismantling and recycling project, 750kV single-phase two-winding transformer full life cycle and 110kV two-winding transformer full life cycle.

[0062] Step 102 , for each set of engineering links, clustering is performed on each set of engineering links according to the carbon emission information of each engineering link in the set, and typical engineering links in the set are determined.

[0063] Exemplarily, after determining the set of engineering links, this embodiment clusters each set of engineering links according to the carbon emission information of each engineering link in the set, such as energy consumption data, carbon emission data, carbon emission accounting methods and standards, to determine the typical engineering links in the set.

[0064] In one example, this embodiment can obtain, through clustering, typical engineering links that can represent the set of engineering links in terms of the order of magnitude of carbon emissions, carbon emission accounting methods and standards.

[0065] In one example, typical engineering links include: 220kV high-voltage reactor transportation; foundation treatment project; photovoltaic panel power generation; 220kV three-winding transformer dismantling and recycling project.

[0066] Step 103, based on the carbon emission information of typical engineering links in each engineering link set, calculate the carbon emissions of the power transmission and transformation project.

[0067] Exemplarily, this embodiment is based on the carbon emission information of determined typical engineering links. For example, this embodiment calculates the total carbon emissions of the power transmission and transformation project based on the carbon emissions of the typical engineering links, the carbon emission accounting methods and standards, and the number of engineering links in the engineering link set where the typical engineering links are located.

[0068] In summary, the application embodiment first classifies each engineering link of the power transmission and transformation project based on the preset category information, and divides the engineering links of the same or similar categories into the same engineering link set to obtain multiple engineering link sets, and then for each engineering link set, according to the carbon emission information of each engineering link in the set, clusters each engineering link set to determine the typical engineering link in the set. This embodiment first classifies each engineering link, improves the efficiency of subsequent clustering, and can quickly obtain typical engineering links; finally, based on the carbon emission information of the typical engineering link in each engineering link set, calculates the carbon emissions of the power transmission and transformation project. This embodiment is based on the typical engineering links that are representative in terms of carbon emissions, and performs carbon emission accounting for the power transmission and transformation project, which can achieve fast and accurate carbon emission accounting for the power transmission and transformation project, and further, helps to effectively control and manage the carbon emissions of the power transmission and transformation project.

[0069] In order to quickly and accurately cluster each engineering link in the engineering link set, this embodiment quantifies the carbon emissions of each engineering link in the engineering link set as sample points, and obtains the clustering results of each set by analyzing the sample density of the sample points and the distance between samples; at the same time, to ensure the accuracy of the clustering results, this embodiment evaluates and corrects the clustering results of each set after determining the clustering results of each set, so as to improve the rationality and effectiveness of the determined typical engineering links, and thereby improve the accuracy of carbon emissions accounting for power transmission and transformation projects.

[0070] Figure 2 Another implementation flow chart of a carbon emission accounting method for a power transmission and transformation project provided in an embodiment of the present application is described in detail as follows:

[0071] Step 201, based on preset category information, classify each engineering link of the power transmission and transformation project to obtain a construction link set, a building material production and transportation link set, an operation and maintenance link set, and a dismantling and recycling link set.

[0072] Among them, the preset category information is determined according to the different stages of the power transmission and transformation project construction.

[0073] Each engineering link set includes one or more engineering links of power transmission and transformation projects, and the categories of engineering links in an engineering link set are the same or similar.

[0074] Exemplarily, this step refers to step 101 and will not be described in detail.

[0075] Step 202 , for each set of engineering links, the carbon emissions of each engineering link in the set are taken as sample points, and the sample density of each sample point and the distance between each sample point are calculated.

[0076] Exemplarily, for each set of engineering links, this embodiment uses the carbon emissions of each engineering link in the set as a sample point, and calculates the sample density of each sample point by the following formula.

[0077]

[0078] Among them, ρ i is equal to the number of sample points distributed within the neighborhood cutoff range of sample point i, ρ i is the sample density of sample point i; d ij is the Euclidean distance between sample point i and sample point j; d c is the preset distance parameter. ij -d c ≤0, χ(w)=1; otherwise, when d ij -d c >0,χ(w)=0.

[0079] Step 203: Determine the cluster center according to the sample density of each sample point and the distance between each sample point.

[0080] In one example, step 203 includes:

[0081] For each sample point, the minimum distance from the sample to the sample points whose sample density is higher than its own sample density is determined according to the sample density of each sample point and the distance between each sample point; the cluster center is determined according to the sample density and minimum distance corresponding to each sample point.

[0082] Among them, this embodiment can determine the cluster center in the following manner: for each sample point, calculate the product value of the corresponding sample density and the minimum distance value; sort the sample points according to the size of the calculated product value to obtain a sample point sequence; wherein the sample points in the sample point sequence are arranged from large to small according to the corresponding product value; and determine the first-ranked sample point in the sample point sequence as the cluster center.

[0083] Exemplarily, for each sample point, this embodiment determines a sample point whose sample density is higher than the sample density of the sample point and whose distance to the sample point is the smallest, and then determines the cluster center among the sample points based on the minimum distance value and the sample density corresponding to the sample point.

[0084] In a feasible implementation manner, this embodiment calculates the γ corresponding to the sample point i by the following formula: i value, and then based on γ i Value, determine the cluster center:

[0085] γ i =ρ i δ i

[0086] Among them, ρ i The sample density of sample point i, δ i is the minimum distance value corresponding to sample point i, that is, the distance value between sample point i and the sample point with a higher sample density than the sample point and the smallest distance from the sample point.

[0087] Sort the γ corresponding to each sample point from large to small, and select the first-ranked sample point as the cluster center of the corresponding engineering link set.

[0088] Step 204: based on the cluster center of each engineering link set, determine the typical engineering link in each engineering link set.

[0089] Among them, based on the cluster center of each engineering link set, the clustering result of each engineering link set is determined; the clustering result of each engineering link set is corrected. For the corrected clustering result of each engineering link set, the engineering link corresponding to the corresponding cluster center is determined as the typical engineering link of the engineering link set.

[0090] In one example, the clustering results of each set of engineering links are corrected, including: calculating the cohesion and separation of the clustering results of each set of engineering links, as well as the intra-cluster similarity and inter-cluster difference;

[0091] The clustering results of each set of engineering links are evaluated and corrected based on cohesion and separation, similarity within clusters and differences between clusters, as well as preset conditions.

[0092] Exemplarily, after determining the cluster center of each set of engineering links, this embodiment allocates the remaining sample points except the cluster center based on a preset allocation principle to determine the sample points in the same cluster as the cluster center; wherein the preset allocation principle includes allocating each remaining sample point to the cluster where its nearest neighbor with a greater density is located, to determine the clustering result of each set of engineering links.

[0093] To ensure the accuracy of the clustering results, this embodiment corrects the clustering results of each engineering link set. For example, the silhouette coefficient is used to evaluate whether the clustering results are excellent. The silhouette coefficient is composed of cohesion and separation. Cohesion is used to reflect the closeness between sample points in the same cluster, and separation can reflect the closeness between sample points and sample points in other clusters.

[0094] In an example, the cohesion of the clustering results of each engineering link set is calculated by the following formula:

[0095]

[0096] Wherein, distance represents the Euclidean distance between sample point i and sample point j in the same engineering link set.

[0097] For a sample point in each engineering link set, the average distance from the sample point to all sample points in other clusters is calculated to obtain the minimum average distance b(i) from the sample point to the cluster other than itself. This represents the closeness between the sample and the other clusters closest to it. The larger the minimum average distance, the higher the separation between the sample and other clusters.

[0098] According to the results of cohesion and separation, the calculation process of the silhouette coefficient S(i) is as follows:

[0099]

[0100] This embodiment uses the Davies-Bouldin index (DB index for short) to measure the clustering effect. The smaller the DB index, the larger the silhouette coefficient, and the better the clustering result.

[0101] Specifically, the DB Index is based on the following two main factors:

[0102] Intra-cluster similarity: For each cluster, calculate the maximum similarity between its internal sample points. Similarity is usually defined by a distance metric, such as Euclidean distance.

[0103] Inter-cluster differences: For each cluster, calculate the minimum distance between it and other clusters.

[0104] The DB index is the weighted average of the above two factors for all clusters, and the formula is as follows:

[0105]

[0106] In the formula, R i is the radius of cluster i, defined as the maximum distance from all points in the cluster to the cluster center; n is the number of clusters.

[0107] In a feasible implementation, this embodiment evaluates and corrects the clustering results of each engineering link set based on cohesion and separation, similarity within clusters and differences between clusters, and preset conditions. If the evaluation fails, clustering is performed again. If the evaluation passes, the engineering link corresponding to the corresponding cluster center is determined to be a typical engineering link of the engineering link set.

[0108] Step 205, based on the carbon emission information of typical engineering links in each engineering link set, calculate the carbon emissions of the power transmission and transformation project.

[0109] In a feasible implementation manner, step 205 includes:

[0110] Based on the preset allocation principle, the remaining sample points except the cluster center are allocated to determine the sample points in the same cluster as the cluster center; wherein the preset allocation principle includes allocating each remaining sample point to the cluster where its nearest neighbor with a greater density is located; and calculating the carbon emissions of the power transmission and transformation project based on the number of sample points in the same cluster as the cluster center in each engineering link set and the carbon emission information of the typical engineering links in each engineering link set.

[0111] Exemplarily, after determining the cluster center of each engineering link set, this embodiment assigns sample points other than the cluster center to the cluster where its nearest neighbor sample points with a density greater than that of the cluster center are located, determines the sample points in the same cluster as the cluster center, and then calculates the carbon emissions of the power transmission and transformation project based on the number of sample points in the same cluster as the cluster center in each engineering link set and the carbon emission information of the typical engineering links in each engineering link set.

[0112] In summary, in this embodiment, the carbon emissions of each engineering link in the engineering link set are quantified as sample points, and the clustering results of each set are obtained by analyzing the sample density of the sample points and the distance between the samples, so that each engineering link in the engineering link set can be clustered quickly and accurately; after determining the clustering results of each set, this embodiment evaluates and corrects the clustering results of each set, thereby ensuring the accuracy of the clustering results, improving the rationality and effectiveness of the determined typical engineering links, and thereby improving the accuracy of the carbon emissions accounting of the power transmission and transformation project.

[0113] It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0114] The following is an embodiment of the device of the present application. For details not described in detail, please refer to the corresponding method embodiment described above.

[0115] Figure 3 The structural schematic diagram of the carbon emission accounting device for power transmission and transformation projects provided by the embodiment of the present application is shown. For the convenience of explanation, only the part related to the embodiment of the present application is shown, which is described in detail as follows:

[0116] like Figure 3 As shown, the carbon emission accounting device 3 for power transmission and transformation engineering includes:

[0117] The first processing unit 31 is used to classify each engineering link of the power transmission and transformation project based on preset category information to obtain multiple engineering link sets; wherein each engineering link set includes one or more engineering links of the power transmission and transformation project, and the categories of the engineering links in an engineering link set are the same or similar.

[0118] The second processing unit 32 is used to perform clustering processing on each engineering link set according to the carbon emission information of each engineering link in the set, and determine the typical engineering link in the set.

[0119] The accounting unit 33 is used to calculate the carbon emissions of the power transmission and transformation project based on the carbon emission information of the typical engineering links in each engineering link set.

[0120] In a possible implementation, the second processing unit 32 is specifically configured to:

[0121] For each set of engineering links, the carbon emissions of each engineering link in the set are taken as sample points, and the sample density of each sample point and the distance between each sample point are calculated.

[0122] The cluster center is determined based on the sample density of each sample point and the distance between each sample point.

[0123] Based on the cluster center of each engineering link set, the typical engineering link in each engineering link set is determined.

[0124] In a possible implementation, the second processing unit 32 is specifically configured to:

[0125] For each sample point, according to the sample density of each sample point and the distance between each sample point, a sample point having a higher sample density than the sample point and having the smallest distance from the sample point is determined.

[0126] The cluster center is determined according to the sample point whose sample density corresponding to each sample point is higher than the sample density of the sample point and whose distance to the sample point is the smallest.

[0127] In a possible implementation, the second processing unit 32 is specifically configured to:

[0128] For each sample point, the product value of the sample density and the distance of the sample point whose corresponding sample density is higher than the sample density of the sample point and whose distance to the sample point is the smallest is calculated.

[0129] According to the size of the calculated product value, each sample point is sorted to obtain a sample point sequence; wherein each sample point in the sample point sequence is arranged from large to small according to the corresponding product value.

[0130] The first sample point in the sample point sequence is determined as the cluster center.

[0131] In a possible implementation, the second processing unit 32 is further configured to:

[0132] Based on the cluster center of each engineering link set, the clustering result of each engineering link set is determined.

[0133] The clustering results of each engineering link set are corrected.

[0134] For the clustering results of each engineering link set after correction, the engineering link corresponding to the corresponding cluster center is determined as the typical engineering link of the engineering link set.

[0135] In a possible implementation, the second processing unit 32 is further configured to:

[0136] The cohesion and separation of the clustering results of each engineering link set, as well as the similarity within the cluster and the difference between clusters are calculated.

[0137] The clustering results of each set of engineering links are evaluated and corrected based on cohesion and separation, similarity within clusters and differences between clusters, as well as preset conditions.

[0138] In a possible implementation, the preset category information is determined according to different stages of the power transmission and transformation project construction; the first processing unit 31 is specifically used for:

[0139] Based on the preset category information, the various engineering links of the power transmission and transformation project are classified to obtain a construction link set, a building materials production and transportation link set, an operation and maintenance link set, and a dismantling and recycling link set.

[0140] In a possible implementation, the accounting unit 33 is specifically configured to:

[0141] Based on the preset allocation principle, the remaining sample points except the cluster center are allocated to determine the sample points in the same cluster as the cluster center; wherein the preset allocation principle includes allocating each remaining sample point to the cluster where its nearest neighbor with a greater density is located.

[0142] The carbon emissions of power transmission and transformation projects are calculated based on the number of sample points in the same cluster as the cluster center in each engineering link set and the carbon emission information of typical engineering links in each engineering link set.

[0143] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0144] Those of ordinary skill in the art will appreciate that the templates, units, and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0145] If the module / unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present application implements all or part of the processes in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by the processor, it can implement the steps of the above-mentioned various power transmission and transformation project carbon emission accounting method embodiments. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. Computer-readable media may include: any entity or device that can carry computer program code, recording media, U disk, mobile hard disk, disk, optical disk, computer memory, read-only memory, random access memory, electrical carrier signal, telecommunication signal and software distribution medium, etc.

[0146] The above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. These modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. A method for calculating carbon emissions from power transmission and transformation projects, characterized in that: The method comprises: Based on the preset category information, each engineering link of the power transmission and transformation project is classified to obtain a plurality of engineering link sets; wherein each engineering link set includes one or more engineering links of the power transmission and transformation project, and the categories of the engineering links in one engineering link set are the same or similar; For each set of engineering links, cluster the sets of engineering links according to the carbon emission information of each engineering link in the set, and determine the typical engineering links in the set; The carbon emissions of power transmission and transformation projects are calculated based on the carbon emission information of typical engineering links in each engineering link set.

2. The carbon emission accounting method for power transmission and transformation projects according to claim 1 is characterized in that: For each set of engineering links, clustering is performed on each set of engineering links according to the carbon emission information of each engineering link in the set to determine a typical engineering link in the set, including: For each set of engineering links, the carbon emissions of each engineering link in the set are taken as sample points, and the sample density of each sample point and the distance between each sample point are calculated; Determine the cluster center according to the sample density of each sample point and the distance between each sample point; Based on the cluster center of each engineering link set, the typical engineering link in each engineering link set is determined.

3. The carbon emission accounting method for power transmission and transformation projects according to claim 2 is characterized in that: Determining the cluster center according to the sample density of each sample point and the distance between each sample point includes: For each sample point, according to the sample density of each sample point and the distance between each sample point, determine the minimum distance between the sample and the sample point whose sample density is higher than its own sample density; The cluster center is determined according to the sample density and minimum distance corresponding to each sample point.

4. The carbon emission accounting method for power transmission and transformation projects according to claim 3 is characterized in that: Determining the cluster center according to the sample density and the minimum distance value corresponding to each sample point includes: For each sample point, calculate the product of the corresponding sample density and the minimum distance value; According to the size of the calculated product value, each sample point is sorted to obtain a sample point sequence; wherein each sample point in the sample point sequence is arranged from large to small according to the corresponding product value; The first sample point in the sample point sequence is determined as the cluster center.

5. The carbon emission accounting method for power transmission and transformation projects according to claim 2 is characterized in that: The method of determining the typical engineering link in each engineering link set based on the cluster center of each engineering link set includes: Based on the cluster center of each engineering link set, determine the clustering result of each engineering link set; Correct the clustering results of each engineering link set; For the clustering results of each engineering link set after correction, the engineering link corresponding to the corresponding cluster center is determined as the typical engineering link of the engineering link set.

6. The carbon emission accounting method for power transmission and transformation projects according to claim 5 is characterized in that: The correcting of the clustering results of each engineering link set includes: Calculate the cohesion and separation of the clustering results of each engineering link set, as well as the similarity within the cluster and the difference between clusters; The clustering results of each engineering link set are evaluated and corrected according to the cohesion and separation, the intra-cluster similarity and inter-cluster difference, and preset conditions.

7. The method for calculating carbon emissions from power transmission and transformation projects according to any one of claims 1 to 6, characterized in that: The preset category information is determined according to different stages of power transmission and transformation project construction; Based on the preset category information, each engineering link of the power transmission and transformation project is classified to obtain multiple engineering link sets, including: Based on the preset category information, the various engineering links of the power transmission and transformation project are classified to obtain a construction link set, a building materials production and transportation link set, an operation and maintenance link set, and a dismantling and recycling link set.

8. The carbon emission accounting method for power transmission and transformation projects according to any one of claims 2 to 6, characterized in that: The carbon emission information of typical engineering links in each engineering link set is used to calculate the carbon emission of power transmission and transformation projects, including: Based on a preset allocation principle, the remaining sample points except the cluster center are allocated to determine the sample points in the same cluster as the cluster center; wherein the preset allocation principle includes allocating each remaining sample point to the cluster where its nearest neighbor with a greater density is located; The carbon emissions of power transmission and transformation projects are calculated based on the number of sample points in the same cluster as the cluster center in each engineering link set and the carbon emission information of typical engineering links in each engineering link set.

9. A carbon emission accounting device for power transmission and transformation projects, characterized in that: The device comprises: The first processing unit is used to classify each engineering link of the power transmission and transformation project based on preset category information to obtain multiple engineering link sets; wherein each engineering link set includes one or more engineering links of the power transmission and transformation project, and the categories of the engineering links in one engineering link set are the same or similar; The second processing unit is used to perform clustering processing on each engineering link set according to the carbon emission information of each engineering link in the set, and determine the typical engineering link in the set; The accounting unit is used to calculate the carbon emissions of the power transmission and transformation project based on the carbon emission information of the typical engineering links in each engineering link set.

10. The carbon emission accounting device for power transmission and transformation projects according to claim 9 is characterized in that: The second processing unit is specifically used for: For each set of engineering links, the carbon emissions of each engineering link in the set are taken as sample points, and the sample density of each sample point and the distance between each sample point are calculated; Determine the cluster center according to the sample density of each sample point and the distance between each sample point; Based on the cluster center of each engineering link set, the typical engineering link in each engineering link set is determined.

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