Ground wire management strategy determination method and device, and readable storage medium

Abstract

The invention discloses a method and a device for determining a management strategy of a grounding wire, and a readable storage medium. The method comprises the steps that basic data of a grounding wire are acquired, and the basic data at least comprise one of environment information, operation information and fault information of the position where the grounding wire is located; on the basis of the basic data, monitoring information, demand information and fault information of the ground wire are determined, the monitoring information is used for indicating parameters for monitoring the ground wire, the demand information is used for indicating the demand trend of the ground wire in the future time period, and the fault information is used for indicating faults of the ground wire in the future time period; based on the monitoring information, the demand information and the fault information, a management strategy of the ground wire is determined, and the management strategy is used for representing a rule for performing management operation on the ground wire. The technical problem of single ground wire management is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of grounding line management, and in particular to a method, a device, and a readable storage medium for determining a grounding line management strategy. Background Art

[0002] At present, there are many problems in the management of grounding wires in the power industry, such as data silos, decision lags, and safety hazards. The quality of grounding wires directly affects the reliability and life of power equipment. Effective management of grounding wires can reduce grounding resistance, improve the efficiency of the grounding system, ensure the normal operation of equipment, and reduce equipment damage and failure rate.

[0003] In the relevant technologies, the traditional management methods rely on manual operation, which is inefficient and difficult to meet the needs of modern power grids for efficient and accurate management. Most of the existing management systems have single functions and lack systematic intelligent integration and optimization. Therefore, there is a technical problem of single grounding line management.

[0004] With respect to the above-mentioned single technical problem of grounding wire management, no effective solution has been proposed so far. Summary of the invention

[0005] The embodiments of the present invention provide a method, a device, and a readable storage medium for determining a management strategy for a grounding line, so as to at least solve the single technical problem of grounding line management.

[0006] According to one aspect of an embodiment of the present invention, a method for determining a management strategy for a grounding wire is provided. The method may include: obtaining basic data of the grounding wire, wherein the basic data includes at least one of the following: environmental information, operation information, and fault information of the grounding wire; based on the basic data, determining monitoring information, demand information, and fault information of the grounding wire respectively, wherein the monitoring information is used to indicate parameters for monitoring the grounding wire, the demand information is used to indicate the demand trend of the grounding wire in a future time period, and the fault information is used to indicate faults that occur in the grounding wire in a future time period; based on the monitoring information, demand information, and fault information, determining a management strategy for the grounding wire, wherein the management strategy is used to indicate rules for managing operations on the grounding wire.

[0007] Optionally, based on basic data, monitoring information of the grounding wire is determined, including: based on the basic data, determining environmental change parameters of the grounding wire, wherein the environmental change parameters are used to indicate the degree of change in the environment in which the grounding wire is located; in response to the environmental change parameter being greater than an environmental change parameter threshold, determining the monitoring information of the grounding wire.

[0008] Optionally, based on basic data, determining demand information of the grounding wire includes: inputting the basic data into a demand prediction model for analysis to obtain demand information of the grounding wire, wherein the demand prediction model is trained using historical operation information of the grounding wire.

[0009] Optionally, based on basic data, determining fault information of the grounding wire includes: inputting the basic data into a fault prediction model for analysis to obtain the fault information of the grounding wire, wherein the fault prediction model is trained using historical fault information of the grounding wire.

[0010] Optionally, the method for determining the grounding wire adjustment strategy also includes: in response to fault information of the grounding wire indicating that the grounding wire is faulty, determining the fault type of the grounding wire based on the fault information; and determining a management strategy for the grounding wire based on the fault information and the fault type.

[0011] Optionally, the method for determining the grounding wire adjustment strategy also includes: obtaining role information of the grounding wire management object, wherein the role information includes at least one of the following information of the management object: responsibility type, attribute information and role type; based on the role information, determining the access rights of the management object to access the management system of the grounding wire.

[0012] According to another aspect of an embodiment of the present invention, a device for determining a management strategy for a grounding wire is also provided. The device may include: an acquisition unit, used to acquire basic data of the grounding wire, wherein the basic data includes at least one of the following: environmental information, operation information, and fault information of the grounding wire; a first determination unit, used to determine monitoring information, demand information, and fault information of the grounding wire based on the basic data, wherein the monitoring information is used to indicate parameters for monitoring the grounding wire, the demand information is used to indicate demand trends for the grounding wire in a future time period, and the fault information is used to indicate faults that occur in the grounding wire in a future time period; a second determination unit, used to determine a management strategy for the grounding wire based on the monitoring information, demand information, and fault information, wherein the management strategy is used to indicate rules for managing operations on the grounding wire.

[0013] According to another aspect of an embodiment of the present invention, a computer-readable storage medium is also provided, which includes a stored program, wherein when the program is executed by a processor, the device where the storage medium is located is controlled to execute the method for determining the grounding line management strategy in an embodiment of the present invention.

[0014] According to another aspect of an embodiment of the present invention, a processor is provided, wherein the processor is used to run a program, wherein when the program is run, the method for determining the management strategy of the grounding line in the embodiment of the present invention is executed.

[0015] According to another aspect of the embodiment of the present invention, a computer program product is provided, which includes computer instructions, and when the computer instructions are executed by a processor, the method for determining the management strategy of the grounding line in the embodiment of the present invention is implemented.

[0016] In an embodiment of the present invention, basic data of the grounding wire is obtained, wherein the basic data includes at least one of the following: environmental information, operation information, and fault information of the grounding wire; based on the basic data, monitoring information, demand information, and fault information of the grounding wire are determined respectively, wherein the monitoring information is used to indicate parameters for monitoring the grounding wire, the demand information is used to indicate demand trends of the grounding wire in a future time period, and the fault information is used to indicate faults that occur in the grounding wire in a future time period; based on the monitoring information, demand information, and fault information, a management strategy for the grounding wire is determined, wherein the management strategy is used to indicate rules for managing operations on the grounding wire. That is to say, the present invention processes the basic data of the grounding wire to determine the multi-faceted management strategy for the grounding wire, thereby solving the technical problem of single grounding wire management and achieving the technical effect of multi-faceted management of the grounding wire. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The drawings described herein are used to provide a further understanding of the present invention and constitute a part of this application. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings:

[0018] Figure 1 is a flow chart of a method for determining a management strategy for a grounding line according to an embodiment of the present invention;

[0019] Figure 2 is a schematic diagram of a ground wire warehouse management and operation and maintenance optimization system according to an embodiment of the present invention;

[0020] Figure 3 4 is a schematic diagram of a device for determining a management strategy for a grounding line according to an embodiment of the present invention. DETAILED DESCRIPTION

[0021] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings 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 should fall within the scope of protection of the present invention.

[0022] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, functional component or device that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, functional components or devices.

[0023] According to an embodiment of the present invention, an embodiment of a method for determining a grounding line management strategy is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0024] Figure 1 is a flow chart of a method for determining a grounding line management strategy according to an embodiment of the present invention. Figure 1 As shown, the method may include the following steps:

[0025] Step S101, obtaining basic data of the grounding wire.

[0026] In the technical solution provided in the above step S101 of the present invention, the basic data includes at least one of the following: environmental information, operation information, and fault information of the grounding wire.

[0027] In this embodiment, basic data of the grounding wire is obtained, for example, by using different sensors. This is only an example and does not limit the specific method of obtaining the basic data of the grounding wire.

[0028] Optionally, the basic data may include, but is not limited to: storage environment of the grounding wire, historical inventory data, usage frequency, grid operation status, inspection records, maintenance data, fault information, etc.

[0029] Optionally, by real-time monitoring of the basic data of the grounding wire, potential fault risks can be identified and preventive maintenance measures can be taken in advance to avoid the occurrence of faults, significantly improving the efficiency and safety of grounding wire management.

[0030] Step S102: Based on the basic data, the monitoring information, demand information and fault information of the grounding line are determined respectively.

[0031] In the technical solution provided in the above step S102 of the present invention, the monitoring information is used to indicate the parameters for monitoring the grounding wire, the demand information is used to indicate the demand trend of the grounding wire in a future time period, and the fault information is used to indicate the faults occurring in the grounding wire in a future time period.

[0032] In this embodiment, after the basic data of the grounding line is acquired in step S101, the monitoring information, demand information and fault information of the grounding line are determined respectively according to the basic data.

[0033] Optionally, for determining monitoring information, environmental change parameters of the grounding wire are determined based on basic data, wherein the environmental change parameters are used to indicate the degree of change in the environment in which the grounding wire is located; when the environmental change parameters are greater than the environmental change threshold, the monitoring information of the grounding wire is determined.

[0034] For example, the storage environment of the ground wire is monitored in real time. When the environmental parameters change, the system automatically determines and adjusts the monitoring frequency and accuracy.

[0035] Optionally, in order to determine the demand information, the basic data is input into a demand prediction model for analysis to obtain demand information of the grounding line, wherein the demand prediction model is trained using historical operation information of the grounding line.

[0036] For example, we use deep learning algorithms, combined with historical basic data and real-time feedback, to build a high-precision demand forecasting model. By learning multi-dimensional data such as historical inventory data, usage frequency, and grid operation status, we can predict future demand trends for grounding wires.

[0037] Optionally, in order to determine the fault information, basic data is input into a fault prediction model for analysis to obtain fault information of the grounding wire, wherein the fault prediction model is trained using historical fault information of the grounding wire.

[0038] For example, by combining artificial intelligence (AI) algorithms with expert systems, potential faults can be predicted in advance. Potential fault risks can be identified by analyzing equipment operating status, environmental parameters, historical fault data, etc. Fault information can be determined and preventive maintenance measures can be automatically triggered, such as equipment maintenance and replacement of parts, to avoid faults and ensure safe and stable operation of the power grid.

[0039] Optionally, the present invention can automatically adjust the monitoring frequency and accuracy according to changes in environmental parameters, ensuring that when key parameters exceed thresholds, the state of the grounding wire can be monitored more frequently and accurately, thereby promptly discovering and handling potential problems.

[0040] Step S103, determining a management strategy for the grounding line based on the monitoring information, demand information and fault information.

[0041] In the technical solution provided in the above step S103 of the present invention, the management strategy is used to represent the rules for managing the grounding line.

[0042] In this embodiment, after the monitoring information, demand information and fault information of the grounding line are respectively determined in step S102, a management strategy for the grounding line is determined according to the monitoring information, demand information and fault information.

[0043] Optionally, by determining the management strategy of the grounding wire from multiple angles, the technical problem of single grounding wire management is solved, and the technical effect of multi-faceted grounding wire management is achieved.

[0044] Optionally, the present invention can predict future demand trends for grounding wires and identify potential fault risks, and can also dynamically adjust management strategies based on real-time monitoring data to ensure the pertinence and effectiveness of management measures.

[0045] It should be noted that the above embodiments can be executed through the grounding wire warehouse management and operation and maintenance optimization system.

[0046] In the above steps S101 to S103 of the present invention, basic data of the grounding wire is obtained, wherein the basic data includes at least one of the following: environmental information, operation information, and fault information of the grounding wire; based on the basic data, monitoring information, demand information, and fault information of the grounding wire are determined respectively, wherein the monitoring information is used to indicate parameters for monitoring the grounding wire, the demand information is used to indicate demand trends of the grounding wire in a future time period, and the fault information is used to indicate faults that occur in the grounding wire in a future time period; based on the monitoring information, demand information, and fault information, a management strategy for the grounding wire is determined, wherein the management strategy is used to indicate rules for managing operations on the grounding wire. In other words, the present invention processes the basic data of the grounding wire and determines a multi-faceted management strategy for the grounding wire, thereby solving the technical problem of single grounding wire management and achieving the technical effect of multi-faceted management of the grounding wire.

[0047] The above method of this embodiment is further introduced below.

[0048] As an optional implementation method, monitoring information of the grounding wire is determined based on basic data, including: determining environmental change parameters of the grounding wire based on the basic data, wherein the environmental change parameters are used to indicate the degree of change in the environment in which the grounding wire is located; in response to the environmental change parameters being greater than an environmental change parameter threshold, determining the monitoring information of the grounding wire.

[0049] In this embodiment, the environment change parameter of the grounding line is determined according to the basic data; when the environment change parameter is greater than the environment change parameter threshold, the monitoring information of the grounding line is determined.

[0050] Optionally, the environmental change parameter is compared with an environmental change parameter threshold, and monitoring information is automatically determined based on the result, so that the monitoring frequency and accuracy are adjusted based on the monitoring information to ensure that the ground wire storage environment always meets the standard.

[0051] For example, when the environmental change parameters (such as temperature, humidity, etc.) of the ground wire storage environment are detected to exceed the preset threshold, the monitoring frequency and accuracy will be automatically adjusted. For example, when the temperature or humidity is too high, the system will increase the monitoring frequency to more accurately grasp the storage status of the ground wire. At the same time, the system can also provide corresponding adjustment suggestions, such as turning on the air conditioner or dehumidifier to reduce the temperature or humidity, to ensure that the ground wire is always in a suitable storage environment.

[0052] As an optional implementation method, based on basic data, the demand information of the grounding wire is determined, including: inputting the basic data into a demand prediction model for analysis to obtain the demand information of the grounding wire, wherein the demand prediction model is trained using historical operation information of the grounding wire.

[0053] In this embodiment, basic data is input into a demand forecasting model for analysis to obtain demand information for grounding wires.

[0054] Optionally, a high-precision demand forecasting model can be constructed by using deep learning algorithms, combining historical data with real-time feedback. By learning multi-dimensional data such as historical inventory data, usage frequency, and grid operation status, the demand trend of grounding wires in the future can be accurately predicted. Inventory strategies can be planned in advance to reduce inventory backlogs and shortage risks, and improve the efficiency and benefits of inventory management.

[0055] As an optional implementation method, the fault information of the grounding wire is determined based on basic data, including: inputting the basic data into a fault prediction model for analysis to obtain the fault information of the grounding wire, wherein the fault prediction model is trained using historical fault information of the grounding wire.

[0056] In this embodiment, basic data is input into a fault prediction model for analysis to obtain fault information of the grounding wire.

[0057] Optionally, potential failure risks can be identified by analyzing equipment operating status, environmental parameters, historical failure data, etc. Preventive maintenance measures can be automatically triggered, such as equipment maintenance and replacement of parts, to avoid failures and ensure safe and stable operation of the power grid.

[0058] Optionally, when a grounding wire fault is detected, intelligent diagnosis will be performed immediately. Using the fault prediction model and knowledge base, the cause and type of the fault can be quickly analyzed, and detailed solution suggestions can be provided. These suggestions include specific maintenance methods, replacement of equipment parts, etc., aiming to help managers quickly troubleshoot the fault and restore the normal use of the grounding wire.

[0059] As an optional implementation manner, the method for determining the grounding wire adjustment strategy also includes: in response to fault information of the grounding wire indicating that there is a fault in the grounding wire, determining the fault type of the grounding wire based on the fault information; and determining the management strategy of the grounding wire based on the fault information and the fault type.

[0060] In this embodiment, when the fault information of the grounding wire indicates that there is a fault in the grounding wire, the fault type of the grounding wire is determined according to the fault information; and the management strategy of the grounding wire is determined according to the fault information and the fault type.

[0061] For example, the system can quickly perform intelligent diagnosis on a fault that has occurred. It uses fault diagnosis algorithms and knowledge bases to analyze the cause and type of the fault and provide detailed solution suggestions, such as repair methods and equipment replacement.

[0062] Optionally, by comparing with existing faults, the fault handling time and cost can be reduced, and the reliability and availability of the system can be improved.

[0063] Optionally, after determining the fault information and fault type of the grounding wire, further targeted management strategies are formulated. These strategies include taking immediate maintenance measures to restore the normal use of the grounding wire, replacing or upgrading the faulty equipment to improve its reliability and stability, and adjusting the operation and maintenance plan to strengthen the prevention and monitoring of similar faults. Through the implementation of these strategies, the safe and stable operation of the grounding wire can be ensured, and the impact of the fault on the operation of the power grid can be reduced.

[0064] As an optional implementation method, the method for determining the grounding wire adjustment strategy also includes: obtaining role information of the grounding wire management object, wherein the role information includes at least one of the following information of the management object: responsibility type, attribute information and role type; based on the role information, determining the access rights of the management object to access the management system of the grounding wire.

[0065] In this embodiment, the role information of the ground wire management object is obtained, and the access rights of the management object are determined according to the role information.

[0066] For example, different permission levels can be assigned based on the user's role, responsibilities and attributes. This enables refined and dynamic adjustment of permission allocation to ensure that only authorized users can access and operate relevant data and functions.

[0067] Optionally, the access rights of the management object are determined based on the role information, which can improve the security and management efficiency of the system.

[0068] It should be noted that the above embodiments can be executed through a grounding wire warehouse management and operation and maintenance optimization system.

[0069] In this embodiment, basic data of the grounding wire is obtained, wherein the basic data includes at least one of the following: environmental information, operation information, and fault information of the grounding wire; based on the basic data, monitoring information, demand information, and fault information of the grounding wire are determined respectively, wherein the monitoring information is used to indicate parameters for monitoring the grounding wire, the demand information is used to indicate demand trends of the grounding wire in a future time period, and the fault information is used to indicate faults that occur in the grounding wire in a future time period; based on the monitoring information, demand information, and fault information, a management strategy for the grounding wire is determined, wherein the management strategy is used to indicate rules for managing operations on the grounding wire. That is to say, the present invention processes the basic data of the grounding wire to determine the multi-faceted management strategy for the grounding wire, thereby solving the technical problem of single grounding wire management and achieving the technical effect of multi-faceted management of the grounding wire.

[0070] The technical solution of the embodiment of the present invention is illustrated below in conjunction with preferred implementation modes.

[0071] At present, there are many problems in the management of grounding wires in the power industry, such as data silos, decision lags, and safety hazards. The quality of grounding wires directly affects the reliability and life of power equipment. Effective management of grounding wires can reduce grounding resistance, improve the efficiency of the grounding system, ensure the normal operation of equipment, and reduce equipment damage and failure rate.

[0072] In the related technologies, the traditional management methods rely on manual operation, which is inefficient and difficult to meet the needs of modern power grids for efficient and accurate management. Most of the existing management systems have single functions and lack systematic intelligent integration and optimization. Therefore, there is a technical problem of single grounding wire management. There is no effective solution to the above-mentioned technical problem of single grounding wire management.

[0073] However, the embodiment of the present invention proposes a grounding wire warehouse management and operation and maintenance optimization system management method to monitor the grounding wire storage environment in real time. When the environmental parameters change, the system automatically adjusts the monitoring frequency and accuracy; by learning multi-dimensional data such as historical inventory data, usage frequency, and power grid operation status, it predicts the demand trend of future grounding wires; by analyzing the equipment operation status, environmental parameters, historical fault data, etc., it identifies potential fault risks, thereby solving the technical problem of single grounding wire management and achieving the technical effect of multi-faceted management of grounding wires.

[0074] The embodiments of the present invention are further described below.

[0075] Figure 2 is a schematic diagram of a ground wire warehouse management and operation and maintenance optimization system according to an embodiment of the present invention. Figure 2 As shown, the grounding wire warehouse management and operation and maintenance optimization system 200 includes: an Internet of Things deep application and real-time synchronization innovation module 201, an intelligent prediction and autonomous optimization module 202, an innovative data analysis and fault warning mechanism module 203 and a security assurance and authority management module 204.

[0076] In this embodiment, the IoT deep application and real-time synchronization innovation module 201 includes: an environmentally adaptable sensor network and a two-way real-time data channel. The IoT deep application and real-time synchronization innovation module 201 uses radio frequency identification / near field communication + global positioning system tracking technology (Radio Frequency Identification / Near Field Communication + Global Positioning System, referred to as RFID / NFC+GPS tracking technology) to equip the grounding wire with a smart tag that integrates RFID / NFC and GPS. RFID / NFC technology is used for accurate inventory counting to achieve rapid identification and accurate counting. GPS technology enables real-time tracking and location positioning on site to ensure the traceability of the grounding wire during use. Through this integrated tag, the problem of data lag in the traditional system is solved, and the accuracy and real-time nature of the data are improved.

[0077] Optionally, an environmentally adaptive sensor network: Adaptive sensing technology is used to automatically adjust monitoring parameters according to changes in the warehouse environment. The sensor network includes temperature sensors, humidity sensors, pressure sensors, etc., which monitor the ground wire storage environment in real time. When environmental parameters change, the system automatically adjusts the monitoring frequency and accuracy to ensure that the ground wire storage environment always meets the standards. At the same time, the working mode of the sensor is optimized through intelligent algorithms to reduce energy consumption and improve the sustainability of the system.

[0078] Optionally, RFID / NFC and GPS technologies are integrated to achieve accurate inventory and real-time tracking of ground wires, improving management accuracy and efficiency. Adaptive sensing technology is used to automatically adjust monitoring parameters according to environmental changes, realize intelligent environmental monitoring, and ensure that the ground wire storage environment meets the standards.

[0079] Optionally, a two-way real-time data channel: Build a high-speed, stable two-way data communication mechanism to ensure real-time, two-way synchronization of information between the warehouse management system and the power grid management platform. Use advanced communication technologies, such as 5G and Long Range Wide Area Network (LoRa), to achieve fast data transmission and reliable communication. During data transmission, use encryption technology and data verification mechanisms to ensure data security and integrity. Improve the timeliness and accuracy of data processing, and provide timely and accurate data support for decision-making.

[0080] Optionally, a two-way real-time data communication mechanism ensures information synchronization without delay: a high-speed and stable two-way data communication mechanism is built to achieve real-time synchronization of information between the warehouse management system and the power grid management platform, improving the timeliness and accuracy of data processing.

[0081] Optionally, the intelligent prediction and autonomous optimization module 202 includes: a prediction model driven by deep learning, AI-assisted operation and maintenance strategy optimization, and a dynamic inventory strategy. Among them, the prediction model driven by deep learning: uses a deep learning algorithm, combines historical data with real-time feedback, and builds a high-precision demand prediction model. By learning multi-dimensional data such as historical inventory data, usage frequency, and power grid operation status, the demand trend of the future grounding wire is predicted. Plan inventory strategies in advance to reduce inventory backlogs and shortage risks and improve the efficiency and benefits of inventory management.

[0082] Optionally, deep learning-driven inventory forecasting and autonomous optimization system: Use deep learning algorithms, combined with historical data and real-time feedback, to build a high-precision demand forecasting model to achieve intelligent management of inventory and optimization of operation and maintenance strategies.

[0083] Optionally, AI-assisted operation and maintenance strategy optimization: Based on big data analysis, automatically identify inefficient links in the operation and maintenance mode. Analyze inspection records, maintenance data, fault information, etc. to find out bottlenecks and problems in the operation and maintenance process. Provide customized operation and maintenance optimization solutions, including but not limited to inspection path optimization, maintenance cycle adjustment, resource allocation optimization, etc. Improve operation and maintenance efficiency and reduce operation and maintenance costs.

[0084] Optionally, a multi-dimensional data analysis platform provides comprehensive operation and maintenance insights: Build a multi-dimensional data analysis platform to conduct comprehensive analysis of usage frequency, fault type, environmental factors, etc., to provide comprehensive data support for operation and maintenance decisions.

[0085] Optionally, AI-assisted fault prediction and early intervention mechanism: Combining AI algorithms and expert systems to predict potential faults in advance and automatically trigger preventive maintenance measures to improve system reliability and safety.

[0086] Optionally, dynamic inventory strategy: dynamically adjust inventory thresholds and replenishment strategies based on seasonality, regionality, and other factors. Consider seasonal changes in electricity demand, differences in grid construction and maintenance in different regions, and adjust the inventory level of ground wires. Minimize inventory costs and maximize response speed, ensuring that inventory costs and management risks are reduced while meeting demand.

[0087] Optionally, the innovative data analysis and fault warning mechanism module 203 includes: a multi-dimensional data analysis platform, fault prediction and early intervention, and intelligent diagnosis and solution recommendation. Among them, the multi-dimensional data analysis platform: builds a multi-dimensional data analysis platform covering frequency of use, fault type, environmental factors, etc. Through comprehensive analysis of grounding wire usage data, fault records, environmental monitoring data, etc., the potential value in the data is mined. Provide comprehensive and in-depth data support for operation and maintenance decisions, and help managers formulate more scientific and reasonable management strategies.

[0088] Optionally, fault prediction and early intervention: Combine AI algorithms and expert systems to predict potential faults in advance. Identify potential fault risks by analyzing equipment operating status, environmental parameters, historical fault data, etc. and automatically trigger preventive maintenance measures, such as equipment maintenance and replacement of parts, to avoid faults and ensure safe and stable operation of the power grid.

[0089] Optionally, intelligent diagnosis and solution recommendation: For faults that have occurred, the system can quickly perform intelligent diagnosis. It uses fault diagnosis algorithms and knowledge bases to analyze the cause and type of faults. It also provides detailed solution suggestions, such as repair methods and equipment replacement, to reduce fault handling time and costs and improve system reliability and availability.

[0090] Optionally, intelligent diagnosis and personalized solution recommendation functions: For faults that have occurred, the system can quickly perform intelligent diagnosis and provide detailed solution suggestions to reduce fault handling time and costs.

[0091] Optionally, the security assurance and authority management module 204 includes: blockchain data security architecture, refined authority management system and multi-dimensional security protection strategy. Among them, blockchain data security architecture: introduce blockchain technology to ensure the integrity and non-tamperability of data during transmission and storage. Use the distributed ledger, encryption algorithm and consensus mechanism of blockchain to ensure the authenticity and reliability of data. Improve the overall security of the system, prevent data from being tampered, forged or deleted, and provide a reliable data basis for management decisions.

[0092] Optionally, blockchain data security architecture ensures that data cannot be tampered with: blockchain technology is introduced to ensure the integrity and non-tamperability of data during transmission and storage, thereby improving the security of the system.

[0093] Optionally, refine the permission management system: adopt a permission management mechanism that combines role-based access control (RBAC) and attribute-based access control (ABAC). Different permission levels are assigned according to the user's role, responsibility and attributes. Refine and dynamically adjust permission allocation to ensure that only authorized users can access and operate relevant data and functions. Improve system security and management efficiency.

[0094] Optionally, refine the permission management system and implement dynamic adjustment of permissions: adopt a permission management mechanism that combines RBAC and ABAC to achieve refinement and dynamic adjustment of permission allocation, thereby improving system security and management efficiency.

[0095] Optionally, multi-dimensional security protection strategy: Build a multi-dimensional security protection system including data encryption, access auditing, and anomaly detection. Use advanced encryption technology to encrypt data storage and transmission to protect data confidentiality. Establish an access audit mechanism to record user operation behaviors for subsequent tracing and security review. Set up an anomaly detection system to monitor the system's operating status in real time, promptly detect and handle anomalies, and ensure that the system is protected from internal and external security threats.

[0096] Optionally, a multi-dimensional security protection strategy is used to build an all-round security barrier: a multi-dimensional security protection system including data encryption, access auditing, and anomaly detection is built to ensure that the system is protected from internal and external security threats.

[0097] Optionally, the present invention adopts a layered architecture design, including a perception layer, a network layer, a data layer, an application layer and a user layer. The perception layer is composed of devices such as smart tags and sensors, and is responsible for collecting the status information and environmental data of the grounding wire. The network layer adopts high-speed and stable communication technology to realize data transmission and communication. The data layer includes a database and a data processing module, which is responsible for storing and processing the collected data. The application layer includes functional modules such as inventory management, operation and maintenance optimization, data analysis and security assurance, and provides specific application services for users. The user layer includes management personnel, operation and maintenance personnel and other users, who interact with the system through a user interface.

[0098] Optionally, module design: Detailed design of each functional module, including smart label management module, sensor network management module, data communication module, inventory management module, operation and maintenance optimization module, data analysis module, fault warning module, safety assurance module, etc. Clarify the functions and interfaces of each module to ensure collaborative work and data interaction between modules.

[0099] Optionally, for equipment selection: Smart tags: Select RFID / NFC+GPS integrated tags with high precision and high reliability to ensure that the tags can accurately identify the identity and location information of the ground wire. At the same time, consider factors such as the cost, power consumption and service life of the tags and select products with high cost performance.

[0100] Optionally, sensors: According to the needs of warehouse environment monitoring, select appropriate temperature sensors, humidity sensors, pressure sensors, etc. The sensors are required to have high precision, high stability and low power consumption, and can accurately monitor environmental parameters. At the same time, consider factors such as the cost and installation method of the sensor, and choose products that are easy to install and maintain.

[0101] Optionally, communication equipment: Select appropriate communication technology and equipment according to the communication requirements of the system. Such as 5G communication module, LoRa communication module, etc., to ensure fast data transmission and reliable communication. At the same time, consider factors such as the cost, coverage and stability of the communication equipment, and select products suitable for practical applications.

[0102] Optionally, for model construction: Deep learning demand forecasting model: Collect multi-dimensional data such as historical inventory data, usage frequency, power grid operation status, etc., and perform data cleaning and preprocessing. Select appropriate deep learning algorithms, such as Convolutional Neural Network (CNN), Recurrent Neural Network (RNN), etc., to build a demand forecasting model. Improve the accuracy and precision of the forecast by training and optimizing the model.

[0103] Optionally, AI-assisted operation and maintenance optimization model: collect inspection records, maintenance data, fault information, etc., and conduct data analysis and mining. Select appropriate artificial intelligence algorithms, such as genetic algorithms, ant colony algorithms, etc., to build an operation and maintenance optimization model. Through model training and optimization, provide customized operation and maintenance optimization solutions.

[0104] Optionally, fault prediction and diagnosis model: collect equipment operating status, environmental parameters, historical fault data, etc., and perform data fusion and analysis. Select appropriate fault prediction algorithms and diagnosis algorithms, such as support vector machine (SVM), decision tree, etc., to build a fault prediction and diagnosis model. Improve the accuracy of fault prediction and diagnosis through model training and optimization.

[0105] Optionally, inventory management strategy: formulate dynamic inventory strategy based on the results of deep learning demand forecasting model, including setting inventory thresholds, formulating replenishment strategies, etc., to ensure that inventory costs are minimized and response speed is maximized.

[0106] Optionally, O&M optimization strategy: Based on the results of the AI-assisted O&M optimization model, formulate strategies such as inspection path optimization, maintenance cycle adjustment, and resource allocation optimization to improve O&M efficiency and reduce O&M costs.

[0107] Optionally, security strategy: According to the security requirements of the system, formulate blockchain data security architecture, refined permission management system and multi-dimensional security protection strategy to ensure the security and reliability of the system. 5. Test method and expected results - Test method:

[0108] Optionally, functional testing: testing each functional module of the system to ensure the normal implementation of the functions, such as smart tag recognition function, sensor monitoring function, data communication function, inventory management function, operation and maintenance optimization function, data analysis function, fault warning function, etc.

[0109] Optionally, performance testing: testing the performance of the system, including data processing speed, communication delay, response time, etc. Through actual testing, the performance indicators of the system are evaluated to ensure that the system can meet the needs of actual applications.

[0110] Optionally, security testing: Test the security performance of the system, including data encryption strength, access control effectiveness, anomaly detection capabilities, etc. Use vulnerability scanning, penetration testing and other methods to assess the security risks of the system and ensure the security and reliability of the system.

[0111] Optionally, the expected effect is: Improve operation and maintenance efficiency: Through intelligent prediction and autonomous optimization system, inspection path optimization, maintenance cycle adjustment, etc. are realized, and operation and maintenance efficiency is improved by at least 30%.

[0112] Optionally, reduce management costs: reduce management costs by 20% through dynamic inventory strategies and refined management. Enhance safety: enhance the safety of power operations and ensure safe and stable operation of the power grid through functions such as fault prediction and early intervention, intelligent diagnosis and solution recommendation.

[0113] Optionally, improve management accuracy: Through high-precision RFID / NFC+GPS tracking and multi-dimensional data analysis platform, the precision and accuracy of ground wire management can be improved to provide more scientific and reasonable data support for decision-making.

[0114] Optionally, the present invention constructs a highly integrated and intelligent grounding wire warehouse management and operation and maintenance optimization system through a series of technological innovations and optimizations. The system realizes real-time synchronization and intelligent analysis of inventory and on-site use, and provides a comprehensive solution for safety management in the power industry through advanced security assurance and authority management mechanisms. At the same time, the present invention focuses on the intelligent transformation of power safety equipment management, and creates an innovative grounding wire warehouse management and operation and maintenance optimization system by integrating the Internet of Things (IoT), big data, cloud computing and advanced artificial intelligence (AI) technology. The system realizes real-time interconnection between inventory and on-site operations, and has achieved major technological breakthroughs in operation and maintenance strategies, data analysis and security assurance, providing strong technical support for management upgrades in the power industry.

[0115] In this embodiment, the ground wire storage environment is monitored in real time. When the environmental parameters change, the system automatically adjusts the monitoring frequency and accuracy; by learning multi-dimensional data such as historical inventory data, usage frequency, and power grid operation status, the demand trend of future ground wires is predicted; by analyzing the equipment operation status, environmental parameters, historical fault data, etc., potential fault risks are identified, thereby solving the technical problem of single ground wire management and achieving the technical effect of multi-faceted management of ground wires.

[0116] According to an embodiment of the present invention, a device for determining a management strategy for a grounding wire is also provided. It should be noted that the device for determining a management strategy for a grounding wire can be used to execute the method for determining a management strategy for a grounding wire in the method embodiment.

[0117] Figure 3 Schematic diagram of a device for determining a grounding line management strategy according to an embodiment of the present invention. Figure 3 As shown, the device 300 for determining the management strategy of the ground line may include: an acquisition unit 301 , a first determination unit 302 , and a second determination unit 303 .

[0118] The acquisition unit 301 is used to acquire basic data of the grounding wire, wherein the basic data includes at least one of the following: environmental information, operation information, and fault information of the grounding wire.

[0119] The first determination unit 302 is used to determine the monitoring information, demand information and fault information of the grounding line based on the basic data, wherein the monitoring information is used to indicate the parameters for monitoring the grounding line, the demand information is used to indicate the demand trend of the grounding line in a future time period, and the fault information is used to indicate the faults that may occur in the grounding line in a future time period.

[0120] The second determining unit 303 is used to determine a management strategy for the grounding line based on the monitoring information, the demand information and the fault information, wherein the management strategy is used to represent a rule for performing management operations on the grounding line.

[0121] Optionally, the first determination unit 302 may include: a first determination module, used to determine the environmental change parameter of the grounding wire based on basic data, wherein the environmental change parameter is used to indicate the degree of change in the environment in which the grounding wire is located; and a second determination module, used to determine the monitoring information of the grounding wire in response to the environmental change parameter being greater than the environmental change parameter threshold.

[0122] Optionally, the first determination unit 302 may further include: a first analysis module, configured to input basic data into a demand prediction model for analysis to obtain demand information of the grounding line, wherein the demand prediction model is trained using historical operation information of the grounding line.

[0123] Optionally, the first determination unit 302 may further include: a second analysis module, configured to input basic data into a fault prediction model for analysis to obtain fault information of the grounding wire, wherein the fault prediction model is trained using historical fault information of the grounding wire.

[0124] Optionally, the device 300 for determining the management strategy of the grounding wire may further include: a third determination unit, used to determine the fault type of the grounding wire based on the fault information indicating that the grounding wire has a fault in response to the fault information of the grounding wire; and a fourth determination unit, used to determine the management strategy of the grounding wire based on the fault information and the fault type.

[0125] Optionally, the device 300 for determining the management strategy of the grounding wire may further include: a first acquisition unit, used to obtain role information of the grounding wire management object, wherein the role information includes at least one of the following information of the management object: responsibility type, attribute information and role type; a fourth determination unit, used to determine the access rights of the management object to access the management system of the grounding wire based on the role information.

[0126] In this embodiment, basic data of the grounding wire is obtained, wherein the basic data includes at least one of the following: environmental information, operation information, and fault information of the grounding wire; based on the basic data, monitoring information, demand information, and fault information of the grounding wire are determined respectively, wherein the monitoring information is used to indicate parameters for monitoring the grounding wire, the demand information is used to indicate demand trends of the grounding wire in a future time period, and the fault information is used to indicate faults that occur in the grounding wire in a future time period; based on the monitoring information, demand information, and fault information, a management strategy for the grounding wire is determined, wherein the management strategy is used to indicate rules for managing operations on the grounding wire. That is to say, the present invention processes the basic data of the grounding wire to determine the multi-faceted management strategy for the grounding wire, thereby solving the technical problem of single grounding wire management and achieving the technical effect of multi-faceted management of the grounding wire.

[0127] According to an embodiment of the present invention, a computer-readable storage medium is further provided. The storage medium includes a stored program, wherein the program executes the method for determining the management strategy of the grounding line in the method embodiment.

[0128] According to an embodiment of the present invention, a processor is further provided. The processor is used to run a program. When the program is run, the method for determining the management strategy of the grounding line in the method embodiment is executed.

[0129] According to an embodiment of the present invention, a computer program product is further provided. The computer program product includes computer instructions. When the computer instructions are executed by a processor, the method for determining the management strategy of the grounding line in the method embodiment is implemented.

[0130] The serial numbers of the above embodiments of the present invention are only for description and do not represent the advantages or disadvantages of the embodiments.

[0131] In the above embodiments of the present invention, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0132] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only schematic. For example, the division of units can be a logical function division. There may be other division methods in actual implementation. For example, 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 units or modules, which can be electrical or other forms.

[0133] 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 over multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0134] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0135] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent functional component, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software functional component, which is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, server or network device, etc.) to perform all or part of the steps of the methods of each embodiment of the present invention. The aforementioned storage medium includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, magnetic disk or optical disk, etc., which can store program code.

[0136] The above are only preferred embodiments of the present invention. It should be pointed out that, for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A method for determining a grounding line management strategy, characterized in that: include: Acquire basic data of the grounding wire, wherein the basic data includes at least one of the following: environmental information, operation information, and fault information of the grounding wire; Based on the basic data, respectively determine the monitoring information, demand information and fault information of the grounding wire, wherein the monitoring information is used to indicate the parameters for monitoring the grounding wire, the demand information is used to indicate the demand trend of the grounding wire in a future time period, and the fault information is used to indicate the fault of the grounding wire in the future time period; A management strategy for the grounding line is determined based on the monitoring information, the demand information, and the fault information, wherein the management strategy is used to represent a rule for performing management operations on the grounding line.

2. The method according to claim 1, characterized in that Based on the basic data, determining monitoring information of the grounding wire includes: Based on the basic data, determining an environmental change parameter of the grounding wire, wherein the environmental change parameter is used to indicate a degree of change in the environment in which the grounding wire is located; In response to the environmental change parameter being greater than an environmental change parameter threshold, the monitoring information of the ground line is determined.

3. The method according to claim 1, characterized in that Determining the requirement information of the grounding wire based on the basic data includes: The basic data is input into a demand prediction model for analysis to obtain the demand information of the grounding line, wherein the demand prediction model is trained using historical operation information of the grounding line.

4. The method according to claim 1, characterized in that: Determining fault information of the grounding line based on the basic data includes: The basic data is input into a fault prediction model for analysis to obtain the fault information of the grounding wire, wherein the fault prediction model is trained using historical fault information of the grounding wire.

5. The method according to claim 1, characterized in that The method further comprises: In response to the fault information of the grounding wire indicating that the grounding wire is faulty, determining the fault type of the grounding wire based on the fault information; Based on the fault information and the fault type, the management strategy of the grounding line is determined.

6. The method according to any one of claims 1 to 5, characterized in that: The method further comprises: Acquire role information of the ground wire management object, wherein the role information includes at least one of the following information of the management object: responsibility type, attribute information and role type; Based on the role information, the access rights of the management object to access the management system of the grounding line are determined.

7. A device for determining a grounding line adjustment strategy, characterized in that: include: An acquisition unit, configured to acquire basic data of a grounding wire, wherein the basic data includes at least one of the following: environmental information, operation information, and fault information of the grounding wire; A first determining unit is used to determine monitoring information, demand information and fault information of the grounding wire based on the basic data, wherein the monitoring information is used to indicate parameters for monitoring the grounding wire, the demand information is used to indicate a demand trend of the grounding wire in a future time period, and the fault information is used to indicate a fault of the grounding wire in the future time period; The second determining unit is used to determine a management strategy for the grounding line based on the monitoring information, the demand information and the fault information, wherein the management strategy is used to represent a rule for performing management operations on the grounding line.

8. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored program, wherein when the program is executed by a processor, the device where the storage medium is located is controlled to execute the method according to any one of claims 1 to 6.

9. A processor, characterized in that: The processor is used to run a program, wherein the program executes the method according to any one of claims 1 to 6 when running.

10. A computer program product, characterized in that The computer program product comprises computer instructions, which implement the method according to any one of claims 1 to 6 when executed by a processor.

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