Energy storage enterprise cross-border compliance efficient auxiliary method

Abstract

The invention relates to the technical field of energy storage enterprise cross-border data processing, in particular to an energy storage enterprise cross-border compliance efficient auxiliary method. The method comprises the steps of obtaining to-be-reviewed cross-border information of an energy storage enterprise, performing clustering processing on the to-be-reviewed cross-border information based on a fuzzy mean value clustering algorithm to obtain c clustering prototypes, marking each clustering prototype as a subset, and determining a class label for the subset; determining a cross-border compliance standard of each subset based on the category labels of the subsets, and analyzing and processing the cross-border information to be examined based on the cross-border compliance standards to obtain an energy storage enterprise social responsibility coefficient, an energy storage enterprise environmental protection compliance coefficient and an energy storage product carbon emission compliance coefficient; and based on the energy storage enterprise cross-border compliance index, determining whether the to-be-examined cross-border information of the energy storage enterprise satisfies a cross-border compliance requirement. According to the invention, the efficiency and accuracy of cross-border compliance management of the energy storage enterprise can be improved.

Description

Technical Field

[0001] The present invention relates to the technical field of cross-border data processing for energy storage enterprises, and in particular to an efficient cross-border compliance assisting method for energy storage enterprises. Background Art

[0002] However, energy storage companies face complex compliance challenges in cross-border operations, especially when entering new markets, where they need to comply with laws, regulations, technical standards, and market rules in different countries and regions. Therefore, it is particularly important to develop an efficient method to assist energy storage companies in cross-border compliance.

[0003] In the existing technology, cross-border compliance assessment of energy storage companies is often done manually, resulting in low efficiency and accuracy.

[0004] Therefore, there is an urgent need for an efficient auxiliary method for cross-border compliance of energy storage companies to solve the above problems. Summary of the invention

[0005] The purpose of the present invention is to provide an efficient auxiliary method for cross-border compliance of energy storage enterprises: to solve the technical problem that in the determination of cross-border compliance of energy storage enterprises, it is often necessary to rely on manual determination, resulting in low determination efficiency and low accuracy.

[0006] The purpose of the present invention can be achieved through the following technical solutions: An efficient auxiliary method for cross-border compliance of energy storage enterprises, the method comprising: Obtain the cross-border information of energy storage enterprises to be reviewed, cluster the cross-border information to be reviewed based on the fuzzy mean clustering algorithm, obtain c cluster prototypes, record each cluster prototype as a subset, and determine the class label for the subset; Determine the cross-border compliance standard of each subset based on the category label of the subset, analyze and process the cross-border information to be reviewed based on the cross-border compliance standard, and obtain the energy storage enterprise social responsibility coefficient, energy storage enterprise environmental protection compliance coefficient and energy storage product carbon emission compliance coefficient; The cross-border compliance index of energy storage enterprises is calculated based on the social responsibility coefficient of energy storage enterprises, the environmental compliance coefficient of energy storage enterprises and the carbon emission compliance coefficient of energy storage products. Based on the cross-border compliance index of energy storage enterprises, it is judged whether the cross-border information to be reviewed by the energy storage enterprises meets the cross-border compliance requirements.

[0007] Furthermore, based on the fuzzy mean clustering algorithm, the cross-border information to be reviewed is clustered to obtain c cluster prototypes, which specifically includes the following process: For cross-border information to be reviewed ,in, Indicates the number of cross-border information to be reviewed. Represent a cross-border information to be reviewed and obtain the constraints of the fuzzy mean clustering algorithm: , ; Calculate the minimum value of the following equation based on the constraints: ; in, ,in express The fuzzy partition matrix, represents the number of cluster prototypes, represents the tth sample The degree of membership to the i-th cluster prototype, , where T represents the transposed identifier, represents the i-th cluster prototype, express and The Euclidean distance of represents a minimum value; Solution Get c cluster prototypes.

[0008] Further, solving The specific process includes the following: calculate : ; in, express and The Euclidean distance of express and The Euclidean distance of represents the pre-selected s-th cluster prototype; In Euclidean distance, we can get: .

[0009] Furthermore, determining the class label for the subset specifically includes the following process: For a subset, we label it by finding the most common class label in the subset.

[0010] Furthermore, the cross-border information to be reviewed is analyzed and processed based on the cross-border compliance standards to obtain the energy storage enterprise social responsibility coefficient, which specifically includes the following process: Based on the cross-border information to be reviewed, obtain the number of environmental protection measures actually implemented by the energy storage enterprise, and based on the cross-border compliance standards, obtain the number of environmental protection measures that should be implemented by the energy storage enterprise, and calculate the ratio A of the number of environmental protection measures actually implemented to the number of environmental protection measures that should be implemented; Based on the cross-border information to be reviewed, obtain the labor human rights protection system regulations of the energy storage enterprise, and based on the cross-border compliance standards, obtain the labor human rights protection system regulations that the energy storage enterprise should have, and calculate the proportion of the labor human rights protection system regulations to the labor human rights protection system regulations that should have been in place. Based on the cross-border information to be reviewed, the number of supplier customers and green supplier customers of the energy storage enterprise is obtained, and the ratio C of the number of green supplier customers to the number of supplier customers is calculated; Conduct a questionnaire survey on the fair business practices of energy storage companies based on the cross-border information to be reviewed to determine whether the energy storage companies comply with the principle of fair competition. If so, the fair business practice coefficient R of the energy storage companies is 1; if not, the fair business practice coefficient R of the energy storage companies is 0; Substitute the ratio A, ratio B, ratio C and fair business practice coefficient R into the calculation formula of the energy storage enterprise social responsibility coefficient to obtain the energy storage enterprise social responsibility coefficient SHZ. The calculation formula is as follows: ; in, , , are weight coefficients respectively.

[0011] Furthermore, the cross-border information to be reviewed is analyzed and processed based on the cross-border compliance standards to obtain the environmental compliance coefficient of the energy storage enterprise, which specifically includes the following process: Input the cross-border information to be reviewed into the EcoVadis assessment module. After receiving the certification invitation from the EcoVadis assessment module, review the energy storage company’s energy use, waste management, emission control and environmental compliance: Determine whether the energy storage company has taken energy-saving and emission-reduction measures; determine whether the energy storage company has a waste recycling and reuse mechanism; determine whether the energy storage company monitors and controls its emissions; and determine whether the environmental compliance energy storage company complies with all relevant environmental laws and standards; After document review and third-party verification, the EcoVadis assessment module will give an assessment score, which will be recorded as the energy storage company's environmental compliance coefficient.

[0012] Furthermore, the cross-border information to be reviewed is analyzed and processed based on the cross-border compliance standards to obtain the carbon emission compliance coefficient of the energy storage product, which specifically includes the following process: Substitute the carbon emission related information of energy storage products in the cross-border information to be reviewed into the carbon footprint assessment module to calculate the estimated carbon emission value of energy storage products: Divide the carbon emission related information of energy storage products into the following categories according to the entire life cycle of the product: raw material production, raw material transportation, product manufacturing; transportation to the construction site, on-site construction, product use, maintenance, repair, replacement, renovation, energy use, water resource use, demolition, transportation to waste treatment plants, reuse treatment, disposal and recycling benefits, obtain the carbon emissions of each link, calculate the sum of the carbon emissions of each link, and record the sum as the estimated carbon emissions of the energy storage product; Load the maximum carbon emission threshold of the energy storage product, calculate the ratio of the estimated carbon emission value of the energy storage product to the maximum carbon emission threshold of the energy storage product, and record the ratio as the carbon emission compliance coefficient of the energy storage product.

[0013] Furthermore, the energy storage enterprise cross-border compliance index is calculated based on the energy storage enterprise social responsibility coefficient, the energy storage enterprise environmental compliance coefficient and the energy storage product carbon emission compliance coefficient, which specifically includes the following process: Substitute the energy storage enterprise social responsibility coefficient, energy storage enterprise environmental compliance coefficient and energy storage product carbon emission compliance coefficient into the energy storage enterprise cross-border compliance index calculation formula to calculate the energy storage enterprise cross-border compliance index CNX. The calculation formula is as follows: ; in, Represents the environmental compliance coefficient of the energy storage enterprise, Indicates the carbon emission compliance coefficient of energy storage products, , , are the weight ratios respectively.

[0014] Furthermore, judging whether the energy storage enterprise's cross-border information to be reviewed meets the cross-border compliance requirements based on the energy storage enterprise's cross-border compliance index specifically includes the following process: The cross-border compliance index threshold of the energy storage enterprise is loaded to determine whether the cross-border compliance index of the energy storage enterprise exceeds the cross-border compliance index threshold of the energy storage enterprise. If so, it is determined that the cross-border information to be reviewed of the energy storage enterprise meets the cross-border compliance requirements. If not, it is determined that the cross-border information to be reviewed of the energy storage enterprise does not meet the cross-border compliance requirements.

[0015] Compared with the existing solutions, the present invention achieves the following beneficial effects: The present invention obtains the cross-border information to be reviewed of the energy storage enterprise, clusters the cross-border information to be reviewed based on the fuzzy mean clustering algorithm, obtains c clustering prototypes, records each clustering prototype as a subset, and determines a class label for the subset; determines the cross-border compliance standard of each subset based on the class label of the subset, analyzes and processes the cross-border information to be reviewed based on the cross-border compliance standard, obtains the social responsibility coefficient of the energy storage enterprise, the environmental protection compliance coefficient of the energy storage enterprise, and the carbon emission compliance coefficient of the energy storage product; calculates the cross-border compliance index of the energy storage enterprise based on the social responsibility coefficient of the energy storage enterprise, the environmental protection compliance coefficient of the energy storage enterprise, and the carbon emission compliance coefficient of the energy storage product, and judges whether the cross-border information to be reviewed of the energy storage enterprise meets the cross-border compliance requirements based on the cross-border compliance index of the energy storage enterprise. The present invention can improve the efficiency and accuracy of cross-border compliance management of energy storage enterprises.

[0016] Furthermore, through intelligent risk assessment models, real-time assessment and early warning of compliance risks faced by enterprises can be carried out to help enterprises formulate response strategies in advance and reduce compliance risks. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0018] Figure 1 This is a workflow diagram of an efficient cross-border compliance assistance method for energy storage enterprises according to an embodiment of the present invention; Figure 2 This is a workflow diagram of another cross-border compliance and efficient auxiliary method for energy storage enterprises according to an embodiment of the present invention; Figure 3 This is a workflow diagram of another cross-border compliance and efficient auxiliary method for energy storage enterprises according to an embodiment of the present invention; Figure 4 It is a flow chart of a cross-border compliance and efficient auxiliary system for energy storage enterprises according to an embodiment of the present invention. DETAILED DESCRIPTION

[0019] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0020] In addition, the described features, structures or characteristics may be combined in one or more example embodiments in any suitable manner. In the following description, many specific details are provided to provide a full understanding of the example embodiments of the present disclosure. However, those skilled in the art will appreciate that the technical solutions of the present disclosure may be practiced while omitting one or more of the specific details, or other methods, components, steps, etc. may be adopted. In other cases, well-known structures, methods, implementations or operations are not shown or described in detail to avoid obscuring various aspects of the present disclosure.

[0021] This embodiment provides an efficient cross-border compliance assistance method for energy storage enterprises. Figure 2 is a workflow diagram of an efficient cross-border compliance assistance method for energy storage enterprises according to an embodiment of the present invention, such as Figure 2 As shown, the method comprises the following steps: Step S101: Obtain the cross-border information to be reviewed of the energy storage enterprise, perform clustering processing on the cross-border information to be reviewed based on the fuzzy mean clustering algorithm, obtain c cluster prototypes, record each cluster prototype as a subset, and determine a class label for the subset; Step S102: Determine the cross-border compliance standard of each subset based on the category label of the subset, analyze and process the cross-border information to be reviewed based on the cross-border compliance standard, and obtain the energy storage enterprise social responsibility coefficient, energy storage enterprise environmental protection compliance coefficient and energy storage product carbon emission compliance coefficient; Step S103: Calculate the energy storage enterprise cross-border compliance index based on the energy storage enterprise social responsibility coefficient, the energy storage enterprise environmental compliance coefficient and the energy storage product carbon emission compliance coefficient; Step S104: Determine whether the energy storage enterprise's cross-border information to be reviewed meets cross-border compliance requirements based on the energy storage enterprise's cross-border compliance index.

[0022] In summary, the present invention obtains the cross-border information to be reviewed of the energy storage enterprise, clusters the cross-border information to be reviewed based on the fuzzy mean clustering algorithm, obtains c clustering prototypes, records each clustering prototype as a subset, and determines the class label for the subset; determines the cross-border compliance standard of each subset based on the class label of the subset, analyzes and processes the cross-border information to be reviewed based on the cross-border compliance standard, obtains the social responsibility coefficient of the energy storage enterprise, the environmental compliance coefficient of the energy storage enterprise, and the carbon emission compliance coefficient of the energy storage product; calculates the cross-border compliance index of the energy storage enterprise based on the social responsibility coefficient of the energy storage enterprise, the environmental compliance coefficient of the energy storage enterprise, and the carbon emission compliance coefficient of the energy storage product, and judges whether the cross-border information to be reviewed of the energy storage enterprise meets the cross-border compliance requirements based on the cross-border compliance index of the energy storage enterprise. The present invention can improve the efficiency and accuracy of cross-border compliance management of energy storage enterprises.

[0023] In some embodiments, clustering the cross-border information to be reviewed based on the fuzzy mean clustering algorithm to obtain c cluster prototypes specifically includes the following process: For cross-border information to be reviewed ,in, Indicates the number of cross-border information to be reviewed. Represent a cross-border information to be reviewed and obtain the constraints of the fuzzy mean clustering algorithm: , ; Calculate the minimum value of the following equation based on the constraints: ; in, ,in express The fuzzy partition matrix, represents the number of cluster prototypes, represents the tth sample The degree of membership to the i-th cluster prototype, , where T represents the transposed identifier, represents the i-th cluster prototype, express and The Euclidean distance of represents a minimum value; Solution Get c cluster prototypes.

[0024] Further, solving The specific process includes the following: calculate : ; in, express and The Euclidean distance of express and The Euclidean distance of represents the pre-selected s-th cluster prototype; In Euclidean distance, we can get: .

[0025] In some embodiments, determining a class label for a subset specifically includes the following process: For a subset, we label it by finding the most common class label in the subset.

[0026] In some embodiments, Figure 2is a workflow diagram of another cross-border compliance and efficient auxiliary method for energy storage enterprises according to an embodiment of the present invention, such as Figure 2 As shown in the figure, the following steps are used to analyze and process the cross-border information to be reviewed based on the cross-border compliance standards to obtain the energy storage enterprise social responsibility coefficient: Step S201: Based on the cross-border information to be reviewed, the number of environmental protection measures actually implemented by the energy storage enterprise is obtained, based on the cross-border compliance standards, the number of environmental protection measures that should be implemented by the energy storage enterprise is obtained, and the ratio A of the number of environmental protection measures actually implemented to the number of environmental protection measures that should be implemented is calculated; Step S202: Based on the cross-border information to be reviewed, obtain the labor human rights protection system regulations of the energy storage enterprise, based on the cross-border compliance standards, obtain the labor human rights protection system regulations that the energy storage enterprise should have, and calculate the proportion B of the labor human rights protection system regulations to the labor human rights protection system regulations that should have; Step S203: Based on the cross-border information to be reviewed, the number of supplier customers and the number of green supplier customers of the energy storage enterprise are obtained, and the ratio C of the number of green supplier customers to the number of supplier customers is calculated; Step S204: Conduct a questionnaire survey on the fair business practices of energy storage enterprises based on the cross-border information to be reviewed to determine whether the energy storage enterprises comply with the principle of fair competition. If so, the fair business practice coefficient R of the energy storage enterprises is 1; if not, the fair business practice coefficient R of the energy storage enterprises is 0; Step S205: Substitute the ratio A, ratio B, ratio C and fair business practice coefficient R into the energy storage enterprise social responsibility coefficient calculation formula to calculate the energy storage enterprise social responsibility coefficient SHZ. The calculation formula is as follows: ; in, , , are weight coefficients respectively.

[0027] In some embodiments, analyzing and processing the cross-border information to be reviewed based on the cross-border compliance standards to obtain the environmental protection compliance coefficient of the energy storage enterprise specifically includes the following process: Input the cross-border information to be reviewed into the EcoVadis assessment module. After receiving the certification invitation from the EcoVadis assessment module, review the energy storage company’s energy use, waste management, emission control and environmental compliance: Among them, the EcoVadis evaluation module is a well-known corporate social responsibility (CSR) verification platform. Its main functions include: Evaluation and guidance: EcoVadis combines all organizational governance projects of corporate operations except quality, and conducts comprehensive evaluations by submitting materials online according to the different sizes and industry affiliations of enterprises. The evaluation system mainly focuses on four aspects: corporate environment, labor and human rights, business ethics, and sustainable procurement. Dynamic scorecard: The company's procurement manager can use a simple dynamic scorecard to monitor and manage the corporate social responsibility (CSR) performance of its suppliers and whether it is continuously improved. Third-party verification: According to the needs of the enterprise, the EcoVadis certification team can entrust a third-party agency to conduct on-site verification to ensure the authenticity and integrity of the information.

[0028] Determine whether the energy storage company has taken energy-saving and emission-reduction measures; determine whether the energy storage company has a waste recycling and reuse mechanism; determine whether the energy storage company monitors and controls its emissions; and determine whether the environmental compliance energy storage company complies with all relevant environmental laws and standards; After document review and third-party verification, the EcoVadis assessment module will give an assessment score, which will be recorded as the energy storage company's environmental compliance coefficient.

[0029] In some embodiments, Figure 3 is a workflow diagram of another cross-border compliance and efficient auxiliary method for energy storage enterprises according to an embodiment of the present invention, such as Figure 3 As shown in the figure, the following steps are specifically included to analyze and process the cross-border information to be reviewed based on the cross-border compliance standards and obtain the carbon emission compliance coefficient of the energy storage product: Step S301: Substitute the carbon emission related information of the energy storage product in the cross-border information to be reviewed into the carbon footprint assessment module to calculate the estimated carbon emission value of the energy storage product: Divide the carbon emission related information of energy storage products into the following categories according to the entire life cycle of the product: raw material production, raw material transportation, product manufacturing; transportation to the construction site, on-site construction, product use, maintenance, repair, replacement, renovation, energy use, water resource use, demolition, transportation to waste treatment plants, reuse treatment, disposal and recycling benefits, obtain the carbon emissions of each link, calculate the sum of the carbon emissions of each link, and record the sum as the estimated carbon emissions of the energy storage product; Step S302: Load the maximum threshold of carbon emissions of energy storage products, calculate the ratio of the estimated value of carbon emissions of energy storage products to the maximum threshold of carbon emissions of energy storage products, and record the ratio as the carbon emissions compliance coefficient of energy storage products.

[0030] In some embodiments, the energy storage enterprise cross-border compliance index is calculated based on the energy storage enterprise social responsibility coefficient, the energy storage enterprise environmental compliance coefficient and the energy storage product carbon emission compliance coefficient, and specifically includes the following process: Substitute the energy storage enterprise social responsibility coefficient, energy storage enterprise environmental compliance coefficient and energy storage product carbon emission compliance coefficient into the energy storage enterprise cross-border compliance index calculation formula to calculate the energy storage enterprise cross-border compliance index CNX. The calculation formula is as follows: ; in, Represents the environmental compliance coefficient of the energy storage enterprise, Indicates the carbon emission compliance coefficient of energy storage products, , , are the weight ratios respectively.

[0031] In some embodiments, judging whether the energy storage enterprise's cross-border information to be reviewed meets the cross-border compliance requirements based on the energy storage enterprise's cross-border compliance index specifically includes the following process: The cross-border compliance index threshold of the energy storage enterprise is loaded to determine whether the cross-border compliance index of the energy storage enterprise exceeds the cross-border compliance index threshold of the energy storage enterprise. If so, it is determined that the cross-border information to be reviewed of the energy storage enterprise meets the cross-border compliance requirements. If not, it is determined that the cross-border information to be reviewed of the energy storage enterprise does not meet the cross-border compliance requirements.

[0032] It is worth noting that the energy storage enterprise cross-border compliance efficient assistance method of the present invention is applied to the energy storage enterprise cross-border compliance efficient assistance system. Figure 4 is a flow chart of a cross-border compliance and efficient auxiliary system for energy storage enterprises according to an embodiment of the present invention, such as Figure 4As shown in the figure, the system has guidance and support functions, file library encryption functions, data management functions and a cross-border carbon compliance intelligent data pool for energy storage enterprises. The cross-border carbon compliance intelligent data pool for energy storage enterprises includes five modules, namely EcoVadis module, GRS (Global Report System) module, ISCC (International Sustainability & Carbon Certification, International Sustainable Development and Carbon Certification module, SBTi (Science Based Targets initiative) module and carbon footprint module. The carbon footprint module includes EPD (Environmental Product Declaration) function module, battery passport function module, CDP (Carbon Disclosure Project) function module and carbon label function module. The EvoVadis module, GRS module, ISCC module, SBTi module, EPD function module and CDP function module extract environmental, social and governance related data content, and generate ESG (Environment, Social, Corporate) compliant data in accordance with the standards of CRI (Global Reporting Initiative) and IIRC (International Integrated Reporting Framework). Governance corporate governance) target report.

[0033] Furthermore, the functions of the energy storage enterprise cross-border compliance and efficient auxiliary system are as follows: Step 1: Implementation of guidance and support functions: Energy storage companies upload relevant data information according to their own business needs, such as raw material purchase orders, energy consumption orders, equipment configuration and other information.

[0034] Step 2: Implementation of the file library encryption function: Data information uploaded through the guidance and support functions can be automatically identified and extracted through cloud interconnection technology formed by digital technologies such as blockchain, Internet of Things, and artificial intelligence, and collected into a company's carbon emission activity file library; further, the company's carbon emission activity file library has built-in kernel-level deep sandbox encryption technology to form an encrypted folder; the client starts an encrypted sandbox in confidential situations. The sandbox is a container, and the confidential files are thrown into the container for encryption. The most advanced kernel-level deep encryption and anti-leakage technologies such as disk filter drivers, file filter drivers, and network filter drivers are used to achieve code-level protection of data.

[0035] Step three, implementation of data management function: a carbon emission activity file library of an enterprise is formed through the file library collection encryption function, which embeds various aspects of data of the data management function for classified management, including international carbon market data, environmental data, governance data, supply chain data, regulatory requirements, standard models, methodologies, emission factors and other databases.

[0036] Step 4: Energy storage companies’ cross-border carbon compliance smart data pool: The EcoVadis module provides improvement guidance by evaluating the CSR performance of suppliers. Customers input the four major themes of environment, labor and human rights, sustainable procurement and business ethics, and upload all relevant CSR documents around the three aspects of policy, action and results. This module generates different scoring principles based on industry, international and regional differences through big data analysis in accordance with ISO 26000 (international standard for corporate social responsibility) and GRI (Global Reporting Initiative), and outputs a coaching report on the corresponding disadvantages of social responsibility performance and optimization suggestions; GRS module, which sets a standard entry threshold of ≥20% renewable material content. If the requirements are met, the next step of material collection can be entered. The collection scope includes social responsibility, environmental management, and chemical use related information. After the supply chain reviews the GRS production related data, the data can be analyzed and visualized, and relevant rectification suggestions can be put forward to generate a report; ISCC module: Energy storage manufacturers upload relevant documents such as production process flow, raw material procurement contracts, production equipment lists and waste treatment records, and then combine with the Internet of Things to manage data, collect relevant edge carbon data, and continuously monitor monitoring equipment. It has built-in ISCC certification standards, ecological and social sustainability, GHG emission calculation monitoring and supply chain traceability, calculation analysis and improvement, so as to generate improvement reports that comply with ISCC regulatory standards; In the SBTi module, customers input relevant carbon emission activity data and business development information, and the data pool identifies and extracts relevant carbon emission data for scopes one, two, and three, and selects the optimal target. After identifying emission reduction opportunities, decomposing emission reduction targets, and planning emission reduction paths, a scientific carbon target plan is finally generated; The carbon footprint functional module has built-in requirements that comply with the carbon footprint standards ISO 14067 (Greenhouse Gas Carbon Footprint Product Category Specifications and Guidelines) and PAS 2050 (Evaluation Specifications for Greenhouse Gas Emissions during the Life Cycle of Products and Services). It intelligently identifies product manufacturers, names, specifications, models, and supply chain information, collects product BOMs (Bill of Material) and retrieves key data from the intelligent data pool. It uses big data functions to clean the data, perform string matching, and classify algorithms to match the optimal data and embed it into the LCA (Life Cycle Assessment) model. It uses cloud interconnection to analyze and visualize data, generate accurate carbon footprint reports, and provide carbon emission reduction optimization suggestions and strategies.

[0037] Among them, the carbon footprint module includes the EPD (Environmental Product Declaration) functional module, the battery passport functional module, the CDP (Carbon Disclosure Project) functional module and the carbon label functional module.

[0038] Specifically, based on the secondary operation of the carbon footprint function module, the full life cycle carbon emission data in the carbon footprint function module is embedded in LCA (Life Cycle Assessment) for evaluation and calculation. The module is embedded with the power and energy storage battery product category rules PCR (Product Category Rules) for guidance. PCR stipulates what information should be collected, how this information should be evaluated, and how it should be reflected in the environmental protection statement; the full life cycle of the product is divided into six stages: A1-A3 (raw material production, raw material transportation, product manufacturing), A4-A5 (transportation to the construction site, on-site construction), B1-B5 (product use, maintenance, repair, replacement, renovation), B6-B7 (energy use, water resource use), C1-C4 (demolition, transportation to waste treatment plants, reuse treatment, disposal) and D (recycling benefits); generate charts based on the LCA result analysis to clearly express the environmental performance of the evaluated products, and make clear carbon emission reduction action paths to achieve green transformation reports; Based on the secondary operation of the carbon footprint module, the carbon emissions at each stage of the life cycle in the carbon footprint function module are used as the basis for calculation and output in the next step; the battery passport function module can identify the system boundary of the battery life cycle and extract relevant data in accordance with the EU's "New Battery Regulations", such as material composition, manufacturer, supply chain information, etc., and then use the PEF standard to calculate the carbon emissions at each stage of the life cycle from battery production and distribution to final scrapping and recycling; finally, use RFID technology (radio frequency identification technology) to connect the data pool system to achieve contactless two-way communication; merge with the supply chain to supervise and analyze the data, and generate a plan that complies with the battery passport disclosure.

[0039] The CDP module is a secondary operation based on the carbon footprint module. It uses the carbon emissions at each stage of the life cycle in the carbon footprint functional module as the calculation basis for the next output. The CDP functional module has a built-in CDP climate change questionnaire preview and reporting guide, which analyzes from four aspects: management (governance, strategy, goals and actions, communication), risks & opportunities (climate change risks, climate change opportunities), emissions (emission methodology, emissions data, scope emissions breakdown, energy, emissions performance, emissions trading) and signatory responsible persons.

[0040] The above embodiments can be implemented in whole or in part by software, hardware, firmware or any other combination. When implemented by software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from one website, computer, server or data center to another website, computer, server or data center by wired (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server or data center that contains one or more available media sets. The available medium can be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state hard disk.

[0041] Those of ordinary skill in the art will appreciate that the 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.

[0042] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0043] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only some logical function divisions. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0044] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0045] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. An efficient cross-border compliance assistance method for energy storage enterprises, characterized in that: Methods include: Obtain the cross-border information of energy storage enterprises to be reviewed, cluster the cross-border information to be reviewed based on the fuzzy mean clustering algorithm, obtain c cluster prototypes, record each cluster prototype as a subset, and determine the class label for the subset; Determine the cross-border compliance standard of each subset based on the category label of the subset, analyze and process the cross-border information to be reviewed based on the cross-border compliance standard, and obtain the energy storage enterprise social responsibility coefficient, energy storage enterprise environmental protection compliance coefficient and energy storage product carbon emission compliance coefficient; The cross-border compliance index of energy storage enterprises is calculated based on the social responsibility coefficient of energy storage enterprises, the environmental compliance coefficient of energy storage enterprises and the carbon emission compliance coefficient of energy storage products. Based on the cross-border compliance index of energy storage enterprises, it is judged whether the cross-border information to be reviewed by the energy storage enterprises meets the cross-border compliance requirements.

2. According to claim 1, a method for efficiently assisting energy storage enterprises in cross-border compliance, characterized in that: Based on the fuzzy mean clustering algorithm, clustering is performed on the cross-border information to be reviewed, and c clustering prototypes are obtained. The specific process includes the following: For cross-border information to be reviewed ,in, Indicates the number of cross-border information to be reviewed. Represent a cross-border information to be reviewed and obtain the constraints of the fuzzy mean clustering algorithm: ， ； Calculate the minimum value of the following equation based on the constraints: ； in, ,in express The fuzzy partition matrix, represents the number of cluster prototypes, represents the tth sample The degree of membership to the i-th cluster prototype, , where T represents the transposed identifier, represents the i-th cluster prototype, express and The Euclidean distance of Indicates a minimum value; Solution Get c cluster prototypes.

3. According to claim 2, a method for efficiently assisting energy storage enterprises in cross-border compliance is characterized in that: Solution The specific process includes the following: calculate : ； in, express and The Euclidean distance of express and The Euclidean distance of represents the pre-selected s-th cluster prototype; In Euclidean distance, we can get: 。 4. According to claim 1, a method for efficiently assisting energy storage enterprises in cross-border compliance is characterized in that: Determining the class label for a subset specifically includes the following process: For a subset, we label it by finding the most common class label in the subset.

5. According to claim 1, a method for efficiently assisting energy storage enterprises in cross-border compliance is characterized in that: Based on the cross-border compliance standards, the cross-border information to be reviewed is analyzed and processed to obtain the specific social responsibility coefficient of energy storage enterprises. The process includes: Based on the cross-border information to be reviewed, obtain the number of environmental protection measures actually implemented by the energy storage enterprise, and based on the cross-border compliance standards, obtain the number of environmental protection measures that should be implemented by the energy storage enterprise, and calculate the ratio A of the number of environmental protection measures actually implemented to the number of environmental protection measures that should be implemented; Based on the cross-border information to be reviewed, obtain the labor human rights protection system regulations of the energy storage enterprise, and based on the cross-border compliance standards, obtain the labor human rights protection system regulations that the energy storage enterprise should have, and calculate the proportion of the labor human rights protection system regulations to the labor human rights protection system regulations that should have been in place. Based on the cross-border information to be reviewed, the number of supplier customers and green supplier customers of the energy storage enterprise is obtained, and the ratio C of the number of green supplier customers to the number of supplier customers is calculated; Conduct a questionnaire survey on the fair business practices of energy storage companies based on the cross-border information to be reviewed to determine whether the energy storage companies comply with the principle of fair competition. If so, the fair business practice coefficient R of the energy storage companies is 1; if not, the fair business practice coefficient R of the energy storage companies is 0; Substitute the ratio A, ratio B, ratio C and fair business practice coefficient R into the calculation formula of the energy storage enterprise social responsibility coefficient to obtain the energy storage enterprise social responsibility coefficient SHZ. The calculation formula is as follows: ； in, , , are weight coefficients respectively.

6. According to claim 1, a method for efficiently assisting energy storage enterprises in cross-border compliance is characterized in that: The analysis and processing of cross-border information to be reviewed based on cross-border compliance standards to obtain the environmental compliance coefficient of energy storage enterprises specifically includes the following process: Input the cross-border information to be reviewed into the EcoVadis assessment module. After receiving the certification invitation from the EcoVadis assessment module, review the energy storage company’s energy use, waste management, emission control and environmental compliance: Determine whether the energy storage company has taken energy-saving and emission-reduction measures; determine whether the energy storage company has a waste recycling and reuse mechanism; determine whether the energy storage company monitors and controls its emissions; and determine whether the environmental compliance energy storage company complies with all relevant environmental laws and standards; After document review and third-party verification, the EcoVadis assessment module will give an assessment score, which will be recorded as the energy storage company's environmental compliance coefficient.

7. According to claim 1, a method for efficiently assisting energy storage enterprises in cross-border compliance is characterized in that: The analysis and processing of the cross-border information to be reviewed based on the cross-border compliance standards to obtain the carbon emission compliance coefficient of the energy storage product specifically includes the following process: Substitute the carbon emission related information of energy storage products in the cross-border information to be reviewed into the carbon footprint assessment module to calculate the estimated carbon emission value of energy storage products: Divide the carbon emission related information of energy storage products into the following categories according to the entire life cycle of the product: raw material production, raw material transportation, product manufacturing; transportation to the construction site, on-site construction, product use, maintenance, repair, replacement, renovation, energy use, water resource use, demolition, transportation to waste treatment plants, reuse treatment, disposal and recycling benefits, obtain the carbon emissions of each link, calculate the sum of the carbon emissions of each link, and record the sum as the estimated carbon emissions of the energy storage product; Load the maximum carbon emission threshold of the energy storage product, calculate the ratio of the estimated carbon emission value of the energy storage product to the maximum carbon emission threshold of the energy storage product, and record the ratio as the carbon emission compliance coefficient of the energy storage product.

8. According to claim 1, a method for efficiently assisting energy storage enterprises in cross-border compliance is characterized in that: The cross-border compliance index of energy storage enterprises is calculated based on the energy storage enterprise social responsibility coefficient, energy storage enterprise environmental compliance coefficient and energy storage product carbon emission compliance coefficient. The process includes: Substitute the energy storage enterprise social responsibility coefficient, energy storage enterprise environmental compliance coefficient and energy storage product carbon emission compliance coefficient into the energy storage enterprise cross-border compliance index calculation formula to calculate the energy storage enterprise cross-border compliance index CNX. The calculation formula is as follows: ； in, Represents the environmental compliance coefficient of the energy storage enterprise, Indicates the carbon emission compliance coefficient of energy storage products, , , are the weight ratios respectively.

9. The method for efficiently assisting energy storage enterprises in cross-border compliance according to claim 1 is characterized in that: Judging whether the energy storage enterprise's cross-border information to be reviewed meets the cross-border compliance requirements based on the energy storage enterprise's cross-border compliance index specifically includes the following process: The cross-border compliance index threshold of the energy storage enterprise is loaded to determine whether the cross-border compliance index of the energy storage enterprise exceeds the cross-border compliance index threshold of the energy storage enterprise. If so, it is determined that the cross-border information to be reviewed of the energy storage enterprise meets the cross-border compliance requirements. If not, it is determined that the cross-border information to be reviewed of the energy storage enterprise does not meet the cross-border compliance requirements.

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