Power facility external damage follow-up method and system

Abstract

The invention belongs to the field of electric power facility protection, and relates to an electric power facility external damage follow-up method and system, and the system comprises a follow-up process management module, an electric quantity loss calculation module, a block chain data analysis module, an electricity price loss calculation module, a simulation evaluation module and a typical case library module. The follow-up process management module manages whole-process information processing and follow-up work of the external breaking case according to a standardized process; the electric quantity loss calculation module analyzes the electric quantity loss of the external damage accident through a neural network algorithm and performs loss accounting; the block chain data analysis module carries out real-time evidence storage on external damage event data by utilizing a block chain technology; the electricity price loss calculation module calculates the electricity price loss of the user according to the electric quantity loss analysis result; the simulation evaluation module simulates an external damage accident scene and generates a standardized loss report; and the typical case library module is used for storing and managing typical external breaking cases. According to the invention, high efficiency, accuracy and credibility of external damage follow-up of electric power facilities can be ensured.

Description

Technical Field

[0001] This invention relates to the field of power facility protection, and specifically to a method and system for pursuing external damage to power facilities. Background Technology

[0002] In existing technologies, with the continuous development of power facility construction and operation management, traditional power facility external damage loss assessment systems have significant limitations. For example, existing loss assessment systems mainly rely on the "direct cost method" to calculate repair costs, and fail to fully consider power loss, economic losses caused by downstream user power outages, and secondary equipment damage caused by voltage fluctuations. This results in power companies lacking real-time and reliable data collection and evidence preservation methods when external damage events occur, leading to significant biases in assessment results. These results cannot effectively support evidence collection in insurance claims, judicial litigation, or administrative mediation, thereby increasing the overall costs and management risks for power companies.

[0003] To address this, invention patent CN113570194B discloses a blockchain-based method and system for processing power construction business data. The method includes: hashing the original data, storing the generated first hash value in a block, and mapping the first hash value to the original data to store the business information data on the blockchain, while simultaneously updating the data tag in the data directory; the blockchain SDK acquiring and parsing a data request to be queried, obtaining the node information and encryption algorithm of the block corresponding to the data request through the on-chain data directory; hashing the data to be stored using the encryption algorithm of the block corresponding to the data request to obtain a second hash value; retrieving the corresponding block based on the node information and data tag of the block corresponding to the data request; and determining that the data to be stored has been stored on the blockchain when the first hash value stored in the corresponding block matches the second hash value of the data to be stored. This invention provides a technical means for storing key business data using blockchain, which helps solve the problems of data inconsistency and data tampering in traditional construction management systems, improving the efficiency and transparency of project management.

[0004] The aforementioned technical solutions have made progress in using blockchain technology to ensure data management during power construction, but the following technical problems still exist: existing technologies have failed to standardize the loss accounting process in cases of external damage to power facilities, lack a unified data collection, evidence storage, and loss assessment mechanism, and power grid companies face issues such as inconsistent compensation standards and difficulties in data sharing during cross-industry collaboration, leading to difficulties in the compensation process, including slow discovery, difficulty in obtaining evidence, rough loss assessment, protracted negotiations, and low reimbursement rates. In view of this, it is very necessary to provide a method and system for pursuing external damage to power facilities in order to solve the above-mentioned defects in the prior art. Summary of the Invention

[0005] The purpose of this invention is to solve the problems of irregular procedures for pursuing and settling claims for damage to power facilities and inaccurate calculation of compensation for damage to power facilities. In response to the technical defects of the existing technology, this invention provides a method and system for pursuing claims for damage to power facilities to solve the above-mentioned technical problems.

[0006] To achieve the above objectives, the present invention provides the following technical solution: In a first aspect, the present invention provides a method for pursuing legal action against external damage to power facilities, comprising the following steps: Step S1: Fill in the basic information of the external damage case. Based on the network topology, automatically identify the faulty line and the number of affected users, and generate a list of power consumption and electricity price loss. Step S2: Calculate the specific amount of electricity loss based on the user's electricity price tier and generate a loss list; Step S3: Record the power grid's operation data using blockchain technology, and use this data to analyze power loss and simulate the power loss value of external damage accidents; Step S4: Based on the power loss analysis results, calculate the electricity price loss for each affected user and generate a detailed list of electricity price losses; Step S5: Utilize the simulation capabilities of digital space to simulate the actual scenario of an external damage accident, show the affected terrain, buildings and user distribution, predict power loss and electricity price loss, and generate a standardized loss report. Step S6: Perform post-incident maintenance on external investigation cases, create a database of typical cases, mark the locations of external investigation accidents using high-definition digital spatial image maps, and generate warning reports.

[0007] Secondly, the present invention also provides a system for tracking and prosecuting external damage to power facilities, comprising: The prosecution process management module is used to manage the entire process of information processing and prosecution of externally solved cases in accordance with standardized procedures. The power loss calculation module analyzes the power loss in external damage accidents and performs loss accounting through neural network algorithms; The blockchain data analysis module uses blockchain technology to record and verify power grid operation data in real time. The electricity price loss calculation module is used to calculate the user's electricity price loss based on the results of electricity loss analysis. The simulation evaluation module uses the simulation capabilities of digital space to simulate external damage accident scenarios and generate standardized loss reports; The typical case library module is used to store and manage typical external crime cases, and to conduct full-process data traceability and analysis.

[0008] The modules work together to achieve intelligent and standardized processing of the entire process from the discovery, evidence collection, damage assessment to compensation of external damage accidents, ensuring the efficiency, accuracy and credibility of the pursuit of external damage to power facilities.

[0009] The beneficial effects of this invention are as follows: This invention provides an efficient and automated method for pursuing claims for external damage to power facilities by constructing a standardized external damage pursuit process. After an incident, it can automatically identify the faulty line and the number of affected users, generating a list of electricity consumption and price losses, thus reducing human error. Through automated compensation list generation and process management, it avoids the cumbersome procedures of traditional processes, significantly improving incident handling efficiency and ensuring accuracy at each stage.

[0010] This invention utilizes blockchain technology to record power grid operation data and analyze power loss, thereby accurately calculating power and electricity price losses due to external damage accidents. By combining this with the user's electricity price tier, the loss amount for each affected user can be precisely calculated, ensuring the accuracy of the loss assessment. This eliminates potential biases and disputes in traditional assessments, providing a more equitable basis for compensation.

[0011] This invention employs blockchain technology to ensure that all critical data in external damage events is immutable and traceable. All power grid operation data and loss data are stored in real time, providing reliable evidence for subsequent compensation. This technology effectively guarantees the authenticity and integrity of the data, avoiding disputes arising from data falsification or incompleteness.

[0012] This invention utilizes digital space simulation capabilities to model real-world scenarios of external damage accidents and predict their impact on power loss and electricity price reductions. The system automatically generates standardized loss reports, providing detailed information on affected terrain, buildings, and user distribution. This simulation process enhances the accuracy of accident handling and makes compensation data more scientific and reasonable.

[0013] This invention also establishes a database of typical external damage cases, storing and managing cases of past external damage incidents and generating warning reports. This database not only provides valuable references for subsequent cases but also increases public awareness of external damage incidents to power facilities, helping to reduce the frequency of similar incidents and fundamentally improving the safety of power facilities.

[0014] In summary, this invention, by combining blockchain, neural network algorithms, and simulation, improves the efficiency and accuracy of handling external damage accidents, provides solid technical support for loss assessment and compensation in the power industry, and promotes the efficiency and transparency of accident handling processes.

[0015] Therefore, it is evident that the present invention has outstanding substantive features and significant progress compared with the prior art, and the beneficial effects of its implementation are also obvious. Attached Figure Description

[0016] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.

[0017] Figure 1 This is a flowchart of a method for pursuing legal action against external damage to power facilities. Figure 2 This is a schematic diagram of a power facility external damage tracking system. Detailed Implementation

[0018] The present invention will now be described in detail with reference to the accompanying drawings and specific embodiments. The following embodiments are explanations of the present invention, but the present invention is not limited to the following implementation methods.

[0019] Example 1: like Figure 1 As shown in the figure, this embodiment provides a method for pursuing claims for external damage to power facilities, which includes the following steps: Step S1: Fill in the basic information of the external damage case. Based on the network topology, automatically identify the faulty line and the number of affected users, and generate a list of power consumption and electricity price loss. Step S2: Calculate the specific amount of electricity loss based on the user's electricity price tier and generate a loss list for subsequent compensation processing; Step S3: Record the power grid's operation data using blockchain technology, and use this data to analyze power loss and simulate the power loss value of external damage accidents; Step S4: Based on the power loss analysis results, calculate the electricity price loss for each affected user and generate a detailed list of electricity price losses; Step S5: Utilize the simulation capabilities of digital space to simulate the actual scenario of an external damage accident, show the affected terrain, buildings and user distribution, predict power loss and electricity price loss, and generate a standardized loss report.

[0020] Step S6: Perform post-incident maintenance on external investigation cases, create a database of typical cases, mark the locations of external investigation accidents using high-definition digital spatial image maps, and generate warning reports.

[0021] Example 2: like Figure 1As shown in the figure, this embodiment provides a method for pursuing claims for external damage to power facilities, which includes the following steps: Step S1: Fill in the basic information of the external damage case. Based on the network topology, automatically identify the faulty line and the number of affected users, and generate a list of power consumption and electricity price loss. Step S2: Calculate the specific amount of electricity loss based on the user's electricity price tier and generate a loss list for subsequent compensation processing; Step S3: Record the power grid's operation data using blockchain technology, and use this data to analyze power loss and simulate the power loss value of external damage accidents; Step S4: Based on the power loss analysis results, calculate the electricity price loss for each affected user and generate a detailed list of electricity price losses; Step S5: Utilize the simulation capabilities of digital space to simulate the actual scenario of an external damage accident, show the affected terrain, buildings and user distribution, predict power loss and electricity price loss, and generate a standardized loss report.

[0022] Step S6: Perform post-incident maintenance on external investigation cases, create a database of typical cases, mark the locations of external investigation accidents using high-definition digital spatial image maps, and generate warning reports.

[0023] In step S1: Specifically, users fill in basic information about the external damage case according to the online template format, including but not limited to the location and time of the damage, the type of power grid facilities affected, and their operating status. Based on the information provided, the platform utilizes the spatial analysis and computing capabilities of digital space to automatically identify the faulty lines and the number of affected users according to the grid topology. Combining neural network algorithms, the platform generates a list of power loss and electricity price loss based on the user's tiered electricity price, which effectively simplifies the information input and processing. After generating the list, it further assists the operation and maintenance department in generating a list of power facility loss costs, including material costs, personnel costs, vehicle costs, and compensation costs; assists the finance department in generating an insurance cost list, including but not limited to insurance corresponding to Yingda Property Insurance and third-party liability insurance; and assists office staff in generating a list of legal fees and third-party appraisal fees. Finally, the loss cost list will be pushed to Yingda Property Insurance through a data interface as the basis for online claims settlement, realizing a new way of online automated process push and offline paperless claims settlement, achieving paperless claims settlement. The online claims process is initiated by the Operation and Maintenance Department, confirmed by the Finance Department, and then transferred to Yingda Property Insurance through the State Grid Insurance Management Information System, thus achieving the goal of fast online claims processing.

[0024] By leveraging the efficient spatial analysis capabilities of digital space, loss lists are automatically generated, reducing errors and time consumption in manual processing. Through seamless integration with the online push and claims system, the claims process is automated and efficient, solving the problems of unclear offline claims processes, cumbersome and repetitive claims procedures, and long claims time spans.

[0025] In step S2: the material asset cost is obtained through the asset inventory list on the enterprise resource planning platform, and a claims list is obtained with reference to the relevant provisions of the crop damage compensation law. The total amount of emergency repair losses for external damage accidents is automatically calculated. The power facility loss cost list includes material costs, personnel costs, vehicle costs, and crop damage compensation costs. Simultaneously, by combining the user's electricity price tier and the loss list, the amount of electricity loss can be accurately calculated. This calculation ensures the reasonableness of the electricity loss, and the generated list not only provides a basis for compensation but also provides a standardized loss statistical report for the claims department.

[0026] By automating the calculation of various losses, errors in manual calculations are avoided, and the accuracy of claims data is ensured, providing precise data support for subsequent compensation processing.

[0027] In step S3, blockchain technology is used to record power grid operation data, ensuring the authenticity and immutability of the data. The transparency of blockchain allows authorized third parties to verify the accuracy and integrity of the data without concern about manipulation or tampering, providing a reliable auditing method for regulatory agencies. Simultaneously, a neural network algorithm model is constructed, combined with digital space simulation capabilities, to simulate the power loss value of external damage accidents. Through continuous training and iteration of the neural network algorithm model, the actual power loss curve is fitted with the projected power loss curve, keeping the upper and lower errors within 5%, ensuring accurate calculation of power loss values ​​and forming a complete compensation list. The generated power loss analysis results provide important evidence for the claims list. The introduction of blockchain technology ensures data security and transparency, providing a reliable auditing method for regulatory agencies. At the same time, the neural network model ensures the accuracy of power loss calculation, thereby improving the fairness and transparency of compensation.

[0028] In step S4: The distribution of all enterprises and residential users affected by the damaged power lines is rendered using the precise network topology of the power grid digital space (station-line-transformer-customer). Simultaneously, corresponding user information is obtained, and user electricity consumption is matched. Based on Shandong Province's electricity price tier rules, the tiered electricity price for each user is calculated. Combining the calculated electricity loss value, the electricity price for each enterprise and individual user affected by the damaged power lines is further calculated. The total electricity price is then summarized, and the electricity price losses for all affected users are tallied, generating a detailed electricity price loss list. By accurately calculating the electricity price losses for each user, the fairness of each user's electricity price loss is ensured, and the generated electricity price loss list provides a unified and accurate data foundation for claims processing.

[0029] In step S5, the simulation capabilities of the power grid digital space are used to accurately simulate the actual scenario of an external damage incident on a map, displaying factors such as terrain, building distribution, etc., and simulating and estimating the number of affected users, potential power loss, and electricity price data. Furthermore, based on the high-precision image map of the power grid digital space, and utilizing the spatial analysis and computing capabilities of the digital space, the impact on users affected by the external damage incident can be calculated, analyzed, and rendered within seconds. Combined with user information ledgers, the current accurate electricity price for each user's tier is obtained, providing data support for the electricity price calculation for this external damage incident. Finally, based on data such as power loss and electricity price statistics, a standardized external damage loss report is generated and pushed to Yingda Property Insurance as the basis for claims settlement. Simulation not only improves the visualization of the accident's impact range but also ensures the accurate prediction and standardized processing of data such as power loss and electricity price losses, thus providing a clear and reliable basis for claims settlement.

[0030] In step S6: The locations of external damage accidents are marked using high-definition digital spatial image maps, and all data from external damage cases are compiled and archived to form a typical case library. This not only allows for querying and tracing the entire process of external damage prosecution cases, but also enables the generation of promotional and warning brochures based on typical cases for public and relevant personnel education and awareness, thereby enhancing awareness of power facility protection.

[0031] The establishment of a database of typical cases helps to accumulate experience and share knowledge, and the publication of warning brochures enhances public awareness of the protection of power facilities and reduces the frequency of external damage incidents.

[0032] Example 3: like Figure 2 As shown, this embodiment provides a method system for pursuing external damage to power facilities, including: The prosecution process management module 1 allows users to fill in basic information about external damage incidents on the State Grid platform when such incidents occur. This information includes the location and time of the damage, the type of affected power grid facilities, and their operational status. Based on this information, the prosecution process management module 1 utilizes digital spatial analysis and computational capabilities, combined with the State Grid network topology, to automatically identify the faulty lines and the number of affected users.

[0033] Furthermore, the prosecution process management module 1 assists the operation and maintenance department in generating a list of power facility loss costs, assists the finance department in generating a list of insurance costs, and assists office staff in generating a list of legal fees and third-party appraisal fees, based on standardized processes.

[0034] The claims process management module 1 integrates with the data interface of Yingda Property Insurance, pushing the list of loss expenses in a structured data format to Yingda Property Insurance's claims system as the basis for online claims processing. This combines automated online process delivery with paperless offline claims processing. The claims process is initiated by the Operations and Maintenance Department, confirmed by the Finance Department, and then transferred to Yingda Property Insurance through the State Grid Insurance Management Information System, achieving cross-departmental data synchronization and rapid online claims processing.

[0035] By deploying this module, problems such as unclear offline claims processes, cumbersome and repetitive claims procedures, and long claims cycles can be effectively solved, achieving standardization, informatization, and efficiency in the external claims process.

[0036] The power loss calculation module 2 automatically extracts asset cost information such as materials, equipment, personnel, and vehicles by accessing the asset inventory list from the material enterprise resource planning platform. It also generates a claim list for external damage accidents by referencing the crop damage compensation law and relevant claims regulations, calculating the total repair loss amount for the accident. Simultaneously, it uses a neural network algorithm to simulate power loss based on the user's electricity price tier and the power loss list, accurately calculating the power loss value and outputting standardized loss calculation results to provide a basis for subsequent compensation processing and financial settlement. Furthermore, this module continuously trains and optimizes the neural network algorithm to fit and predict power loss, keeping the calculation error within 5%, providing accurate power loss data, and ensuring the fairness and transparency of compensation calculations.

[0037] This module can accurately calculate the power loss caused by external damage to power facilities, providing a scientific basis for compensation and avoiding the risks of data opacity or human manipulation in traditional methods.

[0038] Blockchain data analysis module 3 utilizes blockchain technology to store key data from external riot cases in real time. Data for each case includes power grid operation data, accident records, power loss calculations, user electricity prices, and power facility losses. All data for each case is stored and encrypted on the blockchain to ensure its authenticity, integrity, and immutability.

[0039] The module uses the transparent verification mechanism of blockchain to enable authorized third parties or regulatory agencies to conduct real-time auditing and cross-verification of data, preventing data from being tampered with.

[0040] The electricity price loss calculation module 4, based on the substation-line-transformer-customer network topology in the power grid digital space, renders the distribution of enterprises and residential users affected by the damaged line, matches the corresponding user information, and automatically obtains the corresponding electricity consumption and price tier information. The module matches the user's price tier according to Shandong Province's electricity price tier rules, calculates the user's tier price, and, combined with the electricity loss value, calculates the electricity price for each enterprise and household affected by the damaged line, summarizing the results to obtain the total electricity price.

[0041] This module enables users to identify issues within seconds and calculate electricity prices accurately, ensuring that the compensation amount is allocated reasonably, fairly, and traceably. At the same time, it provides a unified claims data foundation for the finance and insurance departments, supporting accurate compensation and statistical auditing.

[0042] The simulation evaluation module 5 relies on the simulation computing capabilities of the State Grid Digital Space, combined with high-precision image maps, geographic information and building distribution data, to accurately simulate the scenarios of external burglary cases and dynamically display the affected terrain, buildings and user distribution.

[0043] The simulation evaluation module 5 simulates the number of affected users, power loss, and electricity price loss, generates a standardized external damage loss report, and pushes the report data to the Yingda Property Insurance claims system as the basis for claims settlement.

[0044] Through simulation evaluation, this module enables accident reproduction, loss prediction, and standardized report generation, improving the visualization and accuracy of claims decisions and providing intelligent evaluation support for the determination of liability and compensation in power damage accidents.

[0045] Module 6, the Typical Case Library, is used for the archiving management and knowledge reuse of typical external breaching cases. It marks the locations of external breaching accidents using high-definition digital image maps and structures all data for each case, including the time of occurrence, scope of impact, damage to power facilities, and compensation amount, to form a standardized typical case library. Simultaneously, this module can generate publicity and warning brochures based on typical cases for public awareness and safety education. By accumulating typical cases, this module not only provides a reference for the rapid handling of similar incidents but also educates the public, raising awareness of external breaching accidents and thus reducing their occurrence.

[0046] Example 4: This embodiment provides a specific deployment and architecture scheme for a power facility external damage prosecution system, which supports online prosecution, loss calculation and claims processing for external damage cases in the method.

[0047] 1. Deployment Plan: A power facility external damage tracking system is deployed in a two-tier configuration on the provincial network cloud. A load balancer dynamically distributes traffic to ensure high availability and horizontal scalability. Data storage employs a layered design: Redis acts as a high-speed cache layer to improve data access performance; structured data is stored with high reliability through a master-slave architecture, where the master database is based on PostgreSQL / MySQL and the slave database is used for real-time synchronization and disaster recovery; geospatial data is efficiently managed and queried using PostGIS; and unstructured data is stored and accessed on a large scale through a distributed file system. The development, testing, and deployment environment of this power facility external damage tracking system adopts a full-link isolation scheme: during the development phase, code development and debugging are completed using IDE (Integrated Development Environment) tools; the testing environment executes automated functions and stability verification through an independent cluster; and the production environment is deployed on a cluster of multiple CentOS 7.6 ECS (Elastic Compute Service) instances, combined with a load balancer to achieve intelligent scheduling of business traffic. The deployment process utilizes cloud-native technology stacks and containerized orchestration, such as Kubernetes, to enable rapid elastic scaling of services, ensure the observability of system operation status, and improve operational efficiency.

[0048] 2. Overall Architecture: A power facility external damage tracking system is designed according to a three-zone, four-layer overall architecture and a "one cloud, one IoT, two micro-platforms, three servers" architecture. It follows the unified technical roadmap of the State Grid Corporation of China and strictly adheres to the principles of application integrity, horizontal integration, business-driven approach, scalability, and architectural flexibility. The overall architecture supports five application scenarios: standardized online tracking processes, impact user analysis, power loss analysis, electricity price calculation analysis, and auxiliary function applications, achieving efficient operation and collaboration across these scenarios.

[0049] 3. Business Architecture: A business architecture for a power facility external damage prosecution system is built upon a unified power grid map to analyze the economic damage caused by external damage. Utilizing the imagery and topology analysis capabilities of the unified power grid map, a standardized online prosecution process is constructed. This enables the standardized online flow of external damage cases from occurrence and prosecution to compensation, establishing a new standardized model for external damage prosecution. Simultaneously, a database of typical cases is created for public awareness campaigns, further enhancing the social deterrent effect and reducing the frequency of external damage incidents. By employing big data models and artificial intelligence technology, a model for analyzing and calculating the prosecutable economic losses caused by external damage is established, generating external damage case analysis reports. This provides data support for the prosecution of external damage cases, ensuring that the prosecution process is based on evidence and justification, laying a solid foundation for its widespread application throughout the province.

[0050] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on its differences from other embodiments. Similar or identical parts between embodiments can be referred to interchangeably. The methods disclosed in the embodiments are described simply because they correspond to the systems disclosed in the embodiments; relevant details can be found in the method section.

[0051] Those skilled in the art will further recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of both. To clearly illustrate the interchangeability of hardware and software, the components and steps of the various examples have been generally described in terms of functionality in the foregoing description. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of this invention.

[0052] In the embodiments provided by this invention, it should be understood that the disclosed systems, methods, and approaches can be implemented in other ways. For example, the system embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between systems or units may be electrical, mechanical, or other forms.

[0053] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0054] In addition, the functional modules in the various embodiments of the present invention can be integrated into one processing unit, or each module can exist physically separately, or two or more modules can be integrated into one unit.

[0055] Similarly, in the various embodiments of the present invention, each processing unit can be integrated into a functional module, or each processing unit can exist physically, or two or more processing units can be integrated into a functional module.

[0056] The steps of the methods or algorithms described in conjunction with the embodiments disclosed herein can be implemented directly by hardware, a software module executed by a processor, or a combination of both. The software module can be located in random access memory (RAM), main memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, removable disk, CD-ROM, or any other form of storage medium known in the art.

[0057] Finally, it should be noted that in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0058] The above-disclosed embodiments are merely preferred embodiments of the present invention, but the present invention is not limited thereto. Any non-creative variations that can be conceived by those skilled in the art, as well as any improvements and modifications made without departing from the principles of the present invention, should fall within the protection scope of the present invention.

Claims

1. A method for pursuing liability for external damage to power facilities, characterized in that, Includes the following steps: Step S1: Fill in the basic information of the external damage case. Based on the network topology, automatically identify the faulty line and the number of affected users, and generate a list of power consumption and electricity price loss. Step S2: Calculate the specific amount of electricity loss based on the user's electricity price tier and generate a loss list; Step S3: Record the power grid's operation data using blockchain technology, and use this data to analyze power loss and simulate the power loss value of external damage accidents; Step S4: Based on the power loss analysis results, calculate the electricity price loss for each affected user and generate a detailed list of electricity price losses; Step S5: Utilize the simulation capabilities of digital space to simulate the actual scenario of an external damage accident, show the affected terrain, buildings and user distribution, predict power loss and electricity price loss, and generate a standardized loss report. Step S6: Perform post-incident maintenance on external investigation cases, create a database of typical cases, mark the locations of external investigation accidents using high-definition digital spatial image maps, and generate warning reports.

2. The method for pursuing prosecution of external damage to power facilities according to claim 1, characterized in that, In step S1: the user fills in the basic information of the external tampering case according to the online template format, including the location and time of the damage, the type and operating status of the affected power grid facilities; based on the information filled in, the platform uses the spatial analysis and calculation capabilities of digital space to automatically identify the faulty lines and the number of affected users according to the network topology; combined with the neural network algorithm, it generates a list of power loss and electricity price loss using the user's tiered electricity price; after generating the list, it further assists the operation and maintenance department in generating a list of power facility loss costs, assists the finance department in generating an insurance cost list, and assists office staff in generating a list of legal fees and third-party appraisal fees; The list of losses and expenses will be pushed to Yingda Property Insurance through the data interface.

3. A method for pursuing liability for external damage to power facilities according to claim 1 or 2, characterized in that, The list of power facility loss costs includes material costs, personnel costs, vehicle costs, and compensation for damages; the list of insurance costs includes insurance coverage from Yingda Property Insurance and third-party liability insurance.

4. The method for pursuing external damage to power facilities according to claim 3, characterized in that, In step S2: the material asset cost is obtained through the asset inventory list of the material enterprise resource planning platform, and the claim list is obtained with reference to the relevant provisions of the crop compensation law. The total amount of emergency repair losses for external damage accidents is automatically calculated. At the same time, the amount of electricity loss is accurately calculated by combining the user's electricity price level and loss list.

5. A method for pursuing liability for external damage to power facilities according to claim 4, characterized in that, In step S3: blockchain technology is used to record the power grid's operating data; a neural network algorithm model is constructed, and combined with the simulation computing capabilities of digital space, the power loss value of external damage accidents is simulated.

6. The method for pursuing prosecution of external damage to power facilities according to claim 5, characterized in that, In step S4: the distribution of all enterprises and residential users affected by the externally damaged line is rendered by the precise network topology relationship of station-line-transformer-user in the power grid digital space. At the same time, the corresponding user information is obtained, the electricity consumption of users is matched, the tiered electricity price of each user is calculated according to the Shandong Province electricity price tier rules, and the electricity price of each enterprise and individual user affected by the externally damaged line is calculated by combining the calculated electricity loss value. The total electricity price is summarized and the electricity price loss of all affected users is counted to generate an electricity price loss list.

7. A method for pursuing liability for external damage to power facilities according to claim 6, characterized in that, In step S5: the simulation capabilities of the power grid digital space are used to accurately simulate the actual scenario of an external breach case on a map, and the number of affected users, possible power loss, and electricity price data are simulated and estimated. In addition, based on the high-precision image map of the power grid digital space, the spatial analysis and calculation capabilities of the digital space are used to perform second-level calculation, analysis, and rendering, and combined with user information ledgers, the current accurate electricity price of the user is obtained. Based on power loss and electricity price statistics, a standardized external breach recovery loss report is generated and pushed to Yingda Property Insurance.

8. A method for pursuing claims for external damage to power facilities according to claim 7, characterized in that, In step S6: the location of external tampering accidents is marked by digital high-definition image maps, all data of external tampering cases are organized and archived to form a typical case library; and publicity and warning brochures are generated based on the typical cases.

9. A system for tracking and prosecuting external damage to power facilities, characterized in that, include: The modules include: (1) Pursuit Process Management Module, (2) Power Loss Calculation Module, (3) Blockchain Data Analysis Module, (4) Electricity Price Loss Calculation Module, (5) Simulation Evaluation Module, and (6) Typical Case Library Module. The prosecution process management module (1) is used to manage the entire process of information processing and prosecution of externally solved cases in accordance with standardized procedures; The power loss calculation module (2) analyzes the power loss of external damage accidents and performs loss accounting through a neural network algorithm; The blockchain data analysis module (3) uses blockchain technology to store key data in external criminal events in real time. The electricity price loss calculation module (4) is used to calculate the user's electricity price loss based on the power loss analysis results; The simulation evaluation module (5) uses the simulation capabilities of digital space to simulate external damage accident scenarios and generate standardized loss reports; The typical case library module (6) is used to store and manage typical external investigation cases and to conduct full-process data traceability and analysis.

10. A power facility external damage tracking system according to claim 9, characterized in that, The specific operation of the prosecution process management module (1) is as follows: When an external damage incident occurs, the user fills in the basic information of the external damage case on the State Grid platform. Based on the basic information filled in, the faulty line and the number of affected users are automatically identified by using digital space analysis and calculation capabilities and combining the State Grid network topology relationship. The prosecution process management module (1) assists the operation and maintenance department in generating a list of power facility loss costs, assists the finance department in generating a list of insurance costs, and assists office staff in generating a list of lawyer fees and third-party appraisal fees based on standardized processes. The power loss calculation module (2) automatically extracts asset cost information by calling the asset inventory list of the material enterprise resource planning platform, and generates a claim list for external damage accidents by referring to the seedling compensation law and related claims specifications. It calculates the total amount of emergency repair losses for this external damage accident. At the same time, it uses a neural network algorithm to simulate power loss by combining the user's electricity price level and power loss list, accurately calculates the power loss value, and outputs standardized loss calculation results. In addition, it continuously trains and optimizes the neural network algorithm to fit and predict power loss, and provides accurate power loss data. The blockchain data analysis module (3) uses blockchain technology to store key data in external investigation cases in real time on the blockchain. The data of each external investigation case is stored and encrypted on the blockchain. The electricity price loss calculation module (4) renders the distribution of enterprises and residential users affected by the externally damaged line based on the station-line-transformer-household network topology relationship of the power grid digital space, matches the corresponding user information and automatically obtains the corresponding electricity consumption and electricity price level information; the electricity price loss calculation module (4) matches the user's electricity price level according to the Shandong Province electricity price level rules, calculates the user's level electricity price, and calculates the electricity price of each enterprise and each household affected by the externally damaged line in combination with the electricity loss value, and sums up to calculate the total electricity price; The simulation evaluation module (5) relies on the simulation computing capabilities of the State Grid digital space, combined with high-precision image maps, geographic information and building distribution data, to accurately simulate the scene of external burglary cases and dynamically display the affected terrain, buildings and user distribution. The typical case library module (6) is used for the archiving management and knowledge reuse of typical external investigation cases; The locations of external blasting accidents are marked by high-definition digital spatial image maps, and all data of each external blasting case are stored in a structured manner to form a standardized typical case library; publicity and warning brochures are generated based on typical cases for public awareness and safety education.

Images