Power grid production project establishment method, device and computer equipment
By obtaining and summarizing multiple planning basis information of the power grid, determining the equipment configuration strategy and generating the equipment problem database, the problem of low efficiency of traditional project establishment methods is solved, and the efficiency and accuracy of grid production project establishment is achieved.
Patent Information
- Application Number
- CN202411922243.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-25
- Publication Date
- 2025-04-08
AI Technical Summary
The traditional grid production project establishment method is inefficient, and there are problems such as complex communication between multiple departments, cumbersome paper documents flow, and lagging manual approval, resulting in information distortion and delay in decision-making.
By obtaining multiple long-term and short-term planning basis information of the power grid, the equipment configuration strategy is determined and the equipment problem database is generated. After summary, the target grid production project is determined based on the access determination criteria, and packaged according to the preset packaging rules to form a packaging project set to complete the project establishment task.
It has achieved efficient and accurate project approval for power grid production projects, identified and corrected data errors through deep fusion of multiple data sources, improved the overall accuracy and reliability of data, and put forward practical project proposals through the integration of long-term and short-term plans.
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Figure CN119784325A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the technical field of power systems, and in particular to a method, device, computer equipment, storage medium and computer program product for establishing a power grid production project. Background Art
[0002] With the rapid development of information technology, the traditional manual or semi-automatic production project establishment methods can no longer meet the company's requirements for efficiency, accuracy and flexibility.
[0003] The traditional project establishment process often involves cumbersome communication between multiple departments, the circulation of large amounts of paper documents, and the lag of manual approval, which not only increases time costs, but also easily leads to information distortion and decision-making delays.
[0004] Therefore, the traditional method has the problem of low efficiency in establishing production projects. Summary of the invention
[0005] Based on this, it is necessary to provide a method, device, computer equipment, computer-readable storage medium and computer program product for power grid production project establishment that can improve the efficiency of production project establishment in response to the above-mentioned technical problems.
[0006] A method for establishing a power grid production project, comprising:
[0007] Obtain multiple long-term planning basis information and multiple short-term planning basis information for the power grid;
[0008] Determine the equipment configuration strategy for the target planning period based on multiple long-term planning basis information, and generate an equipment problem library based on multiple short-term planning basis information;
[0009] Summarize the equipment configuration strategy and the equipment problem library, and determine at least one target power grid production project from the power grid production project set based on the power grid production project access determination criteria;
[0010] According to the preset production project packaging rules, each target power grid production project is packaged to obtain a packaged project approval set to complete the power grid production project approval task.
[0011] In one embodiment, each target power grid production project is packaged according to a preset production project packaging rule to obtain a packaged project set, including:
[0012] Obtaining grid structure data sets and equipment category data; the grid structure data sets include the power network topology data, node data and line data of the power grid; the equipment category data include equipment status data and equipment monitoring data;
[0013] Based on the preset production project packaging rules, the grid structure data set and equipment category data are used to package each target power grid production project to obtain a packaged project set.
[0014] In one embodiment, the long-term planning basis information includes a predicted asset wall, and obtaining a plurality of long-term planning basis information and a plurality of short-term planning basis information for the power grid includes:
[0015] On the basis of the historical asset wall of operating assets, the asset walls corresponding to different types of assets are established with the operating assets at the end of the previous year as the analysis objects, and with the original value of the assets and the year of operation as the analysis dimensions;
[0016] Overlay the asset walls corresponding to different types of assets to form a total asset wall;
[0017] Through Monte Carlo simulation, asset mapping is performed on different types of assets in the total asset wall to obtain the mapped asset values corresponding to different types of assets;
[0018] The mapped asset values corresponding to different types of assets are superimposed to form a predicted asset wall, which serves as the basis for long-term planning.
[0019] In one embodiment, the long-term planning basis information includes a periodic maintenance plan, and obtaining a plurality of long-term planning basis information and a plurality of short-term planning basis information for the power grid includes:
[0020] Obtain equipment historical maintenance data and equipment operating status data;
[0021] Based on the equipment maintenance procedures, analyze the equipment historical maintenance data and equipment operation status data to obtain data analysis results;
[0022] Based on the data analysis results, a periodic maintenance plan is generated as the basis for long-term planning.
[0023] In one embodiment, the long-term planning basis information includes key information of the special work, and obtaining a plurality of long-term planning basis information and a plurality of short-term planning basis information for the power grid includes:
[0024] According to the information required by the special work, determine the information capture rules for natural language processing;
[0025] Information capture rules are used to capture information from each power grid production project to obtain key information for special tasks, which serves as the basis for long-term planning.
[0026] In one embodiment, the short-term planning basis information includes equipment defect description information, and obtaining a plurality of long-term planning basis information and a plurality of short-term planning basis information for the power grid includes:
[0027] When a defect signal appears in any device in the power grid, the device information and defect information of the device are obtained; the defect information of the device includes the defect type, defect source and defect level of the device;
[0028] Fill the equipment information and the equipment defect information into the defect sheet template to obtain the defect sheet corresponding to the equipment as the equipment defect description information.
[0029] A device for establishing a power grid production project, comprising:
[0030] An acquisition module, used for acquiring a plurality of long-term planning basis information and a plurality of short-term planning basis information for a power grid;
[0031] A determination module, used to determine the equipment configuration strategy of the target planning period according to a plurality of long-term planning basis information, and to generate an equipment problem library according to a plurality of short-term planning basis information;
[0032] A summarizing module, used to summarize the equipment configuration strategy and the equipment problem library, and determine at least one target power grid production project from the power grid production project set based on the power grid production project access determination criteria;
[0033] The packaging module is used to package each target power grid production project according to the preset production project packaging rules to obtain a packaged project set to complete the power grid production project establishment task.
[0034] A computer device includes a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the above method when executing the computer program.
[0035] A computer-readable storage medium stores a computer program, which implements the steps of the above method when executed by a processor.
[0036] A computer program product comprises a computer program, and when the computer program is executed by a processor, the steps of the above method are implemented.
[0037] The above-mentioned power grid production project establishment method, device, computer equipment, storage medium and computer program product obtain multiple long-term planning basis information and multiple short-term planning basis information for the power grid; determine the equipment configuration strategy of the target planning period based on the multiple long-term planning basis information, and generate an equipment problem library based on the multiple short-term planning basis information; summarize the equipment configuration strategy and the equipment problem library, and determine at least one target power grid production project from the power grid production project set based on the power grid production project access judgment standard; according to the preset production project packaging rules, each target power grid production project is packaged to obtain a packaged project set to complete the power grid production project establishment task; in this way, the long-term planning basis information and the short-term planning basis information can be deeply integrated with multiple data sources, and errors and inconsistencies in the data can be effectively identified and corrected, thereby indicating the overall accuracy and reliability of the data. At the same time, by integrating various bases of long-term planning and short-term plans, practical and feasible project establishment suggestions are put forward, and the target power grid production projects that have passed the review are reasonably packaged to achieve structured and coherent processing of project establishment requirements. BRIEF DESCRIPTION OF THE DRAWINGS
[0038] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the related technologies, the drawings required for use in the embodiments or the related technical descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.
[0039] Figure 1 An application environment diagram of a method for establishing a power grid production project in an embodiment;
[0040] Figure 2 A schematic diagram of a process of establishing a power grid production project in one embodiment;
[0041] Figure 3 A schematic diagram of a method for establishing a power grid production project in one embodiment;
[0042] Figure 4 A schematic diagram of a flow chart of a method for establishing a power grid production project in another embodiment;
[0043] Figure 5 A structural block diagram of a device for establishing a power grid production project in one embodiment;
[0044] Figure 6 FIG. 4 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION
[0045] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.
[0046] The existing partially informatized project management system may have a certain degree of informatization foundation and can record and simply process some data. However, there are the following problems: First, the data processing is not comprehensive. Although the existing partially informatized project management system can record and simply process some data, it often cannot cover all data related to project establishment. For example, it may only be able to process some asset type data in the company's asset status, and the integration ability of data such as equipment status evaluation and special work requirements is limited, resulting in incomplete basis for project establishment decision-making; second, data integration is difficult. Since the prediction and evaluation data comes from different systems and departments, the respective data formats and standards are complicated, which brings significant challenges to the seamless integration and efficient compatibility of data; third, the process is not coherent, and each link in the project establishment process may not achieve complete informatization integration. For example, there may be a gap between data recording and the generation of project establishment suggestions, and a lot of manual intervention is still required to connect the various steps, which reduces work efficiency.
[0047] The method for establishing a power grid production project provided in the embodiment of the present application can be applied to Figure 1 In the application environment shown. Among them, the terminal 102 communicates with the server 104 through the network. The data storage system can store the data that the server 104 needs to process. The data storage system can be integrated on the server 104, or it can be placed on the cloud or other network servers. The server 104 obtains multiple long-term planning basis information and multiple short-term planning basis information for the power grid; the server 104 determines the equipment configuration strategy of the target planning cycle based on the multiple long-term planning basis information, and generates the equipment problem library based on the multiple short-term planning basis information; the server 104 summarizes the equipment configuration strategy and the equipment problem library, and determines at least one target power grid production project from the power grid production project set based on the power grid production project access judgment standard; the server 104 packages each target power grid production project according to the preset production project packaging rules, and obtains a packaged project set to complete the power grid production project establishment task. Among them, the terminal 102 can be, but is not limited to, various personal computers, laptops, smart phones, tablet computers, Internet of Things devices and portable wearable devices, and the Internet of Things devices can be smart speakers, smart TVs, smart air conditioners, smart car-mounted devices, etc. Portable wearable devices can be smart watches, smart bracelets, head-mounted devices, etc. The server 104 may be implemented as an independent server or a server cluster consisting of multiple servers.
[0048] In an exemplary embodiment, Figure 2 As shown, a method for establishing a power grid production project is provided, and the method is applied to Figure 1 The server 104 in the example is used as an example to illustrate the method, which includes the following steps S202 to S208. Among them:
[0049] Step S202, obtaining a plurality of long-term planning basis information and a plurality of short-term planning basis information for the power grid.
[0050] Among them, the information based on long-term planning can be the predicted asset wall, periodic maintenance plan and key information of special work.
[0051] Among them, the information based on which short-term planning is carried out may be equipment status evaluation information, emergency major defect information and accident event information.
[0052] Optionally, the server obtains multiple long-term planning basis information, such as predicted asset wall, periodic maintenance plan and special work key information, and the server obtains multiple short-term planning basis information, such as equipment status evaluation information, emergency major defect information and accident event information.
[0053] Step S204, determining the equipment configuration strategy of the target planning period according to the multiple long-term planning basis information, and generating the equipment problem library according to the multiple short-term planning basis information.
[0054] The target planning cycle may refer to the next planning cycle.
[0055] Among them, the equipment configuration strategy corresponds to the equipment investment strategy, which includes: 1) Investment budget: Based on the asset status forecast of the asset wall, the equipment Zhouqu maintenance plan and the NPL special work information capture and combined with historical investment data, the equipment configuration strategy corresponds to the equipment investment strategy, which includes: 1) Investment budget: Based on the asset status forecast of the asset wall, the equipment Zhouqu maintenance plan and the NPL special work information capture ... 1) The total amount of funds used for equipment purchase, upgrade, maintenance and replacement in a year, and allocated by department, product line or project according to development goals, business needs and priority order; 2) Procurement and update plan: including the type, model, quantity and expected procurement time of the equipment to be purchased, as well as the schedule and plan for the elimination and replacement of old equipment, and planning the technology upgrade route; 3) Key areas and benefit forecast: clarify the equipment areas for key investment, such as core production, key testing, information management, etc., and evaluate and forecast the expected returns of investment projects, including quantitative indicators such as efficiency improvement, cost reduction, quality improvement, and market expansion; 4) Risk response and partner selection: analyze investment risks, such as market, technology, and policy changes, formulate response strategies, and also include evaluation criteria and selection strategies for potential suppliers and partners; 5) Resource allocation and sustainable considerations: determine the allocation of human, material, financial and other resources, consider the impact of equipment investment on the environment and society, and follow the principles of sustainable development.
[0056] Among them, the equipment problem database can be a rolling updated equipment asset problem database. The equipment problem database contains the following dimensional issues: 1) basic equipment information; 2) fault-related information, including detailed fault description (phenomenon, abnormal performance), occurrence time, impact range, cause analysis (damage to parts, improper operation, maintenance problems, environmental factors, etc.), maintenance records (personnel, methods, replacement of parts, time, cost), preventive measures, and maintenance priority; 3) operating status, including normal, operating with defects, to be scrapped, etc., as well as changes in key performance parameters (power, speed, accuracy, etc.); 4) safety hazards, assessing whether the fault has safety hazards and the severity; 5) rectification tracking, tracking records of the implementation progress and effectiveness of rectification measures.
[0057] Optionally, the server determines the equipment configuration strategy for the target planning cycle based on multiple long-term planning basis information. Specifically, the server performs technical transformation scale deduction based on the predicted asset wall, determines the periodic maintenance plan, and generates medium- and long-term equipment configuration strategies based on the key information of special work captured through NLP as the equipment investment plan for the next planning cycle; and, the server generates an equipment problem library based on multiple short-term planning basis information. Specifically, the server generates standardized problem processing and risk assessment reports based on short-term planning basis information such as equipment status evaluation information, emergency major defect information, and accident event information, and summarizes the standardized problem processing results and risk assessment reports to form a rolling updated equipment asset problem library.
[0058] Step S206, summarizing the equipment configuration strategy and the equipment problem library, and determining at least one target power grid production project from the power grid production project set based on the power grid production project admission determination criteria.
[0059] Optionally, the server forms project construction requirements based on investment planning and equipment problem database, and then needs to make a preliminary judgment on the project construction requirements to determine which construction requirements can be included in the scope of power grid production project establishment.
[0060] Consideration of general access conditions includes: implementation of countermeasures, replacement at the age of the equipment, elimination of defects, non-compliance with technical requirements and promotion of technology. When the general access conditions are met and it is confirmed through status evaluation and risk assessment that the equipment does not meet the production and operation requirements, the project can be applied for in accordance with the general access conditions to form a project proposal. The dimensions of general access conditions include:
[0061] 1) Implement countermeasures, where technical transformation is required according to the anti-accident measures issued by the enterprise;
[0062] 2) Replacement at the end of the service life, the equipment has reached the service life specified in the technical specifications or the equipment is close to its service life and the status assessment result is "abnormal" or "serious status", and it is assessed that it has no repair value (the repair cost exceeds 50% of the value of newly purchased equipment of the same model);
[0063] 3) Eliminate defects. If the equipment has urgent or major defects, it is assessed to be worth repairing. Or, if the equipment has general or other defects, and the status assessment result is "abnormal" or "serious", the equipment has reached the financial depreciation period, and it is assessed to be not worth repairing;
[0064] 4) Failure to meet technical requirements, and technical transformation is required according to the company's annual key work arrangements or special document requirements such as hidden danger remediation;
[0065] 5) Promote new technologies. According to the "Catalogue of New Technology Promotion and Application" issued by the enterprise, new technologies that have shown good results in pilot applications, mature technologies, significant economic or social benefits, and have reached advanced and applicable conditions and are suitable for widespread application.
[0066] Step S208, packaging each target power grid production project according to the preset production project packaging rules to obtain a packaged project set to complete the power grid production project establishment task.
[0067] Among them, the preset production project packaging rules may refer to three types of packaging principles: special work, equipment type, and station line feeder.
[0068] Among them, the packaged project set may refer to a collection of projects formed by packaging power grid production projects that meet the power grid production project access criteria.
[0069] Among them, the task of establishing production projects is to automatically package power grid production projects that meet the power grid production project access criteria.
[0070] Optionally, the server automatically packages the power grid production projects that meet the power grid production project access judgment criteria based on various project approval information that meet the project access judgment criteria according to the three packaging principles of special work, equipment type and station line feeder, and obtains a packaged project approval set to complete the power grid production project approval task. The specific contents of the three packaging principles include:
[0071] 1) According to special tasks, "special tasks" refer to specialized tasks carried out for specific goals, tasks or problems. For example, the special tasks in the power grid industry include large-scale maintenance, technical transformation, urban village transformation, three insurance linkage, smart grid construction, etc. (different special tasks are set up every year according to different situations). Different types of special tasks are collected and packaged;
[0072] 2) According to the equipment type, the projects are assembled and packaged according to the power grid equipment type, including substation equipment, transmission equipment, distribution equipment, safety and automation equipment, relay protection equipment, automation equipment, and communication equipment;
[0073] 3) Projects are assembled and packaged according to station, line and feeder, substation, transmission line, feeder and substation area.
[0074] In actual applications, after obtaining the packaged project set, it is necessary to set up project cycle monitoring. By establishing monitoring nodes and indicators, the project's execution progress, resource utilization, quality control and other aspects can be monitored and evaluated in real time. Through scientific and reasonable packaging methods, resource allocation can be optimized, conflicts and duplication of work between projects can be reduced, and the overall efficiency and benefits of project management can be improved.
[0075] In the above-mentioned power grid production project establishment method, multiple long-term planning basis information and multiple short-term planning basis information for the power grid are obtained; based on the multiple long-term planning basis information, the equipment investment strategy of the target planning period is determined, and, based on the multiple short-term planning basis information, an equipment problem library is generated; the equipment investment strategy and the equipment problem library are summarized, and at least one target power grid production project is determined from the power grid production project set based on the power grid production project access judgment standard; according to the preset production project packaging rules, each target power grid production project is packaged to obtain a packaged establishment set to complete the power grid production project establishment task.
[0076] In an exemplary embodiment, each target power grid production project is packaged according to preset production project packaging rules to obtain a packaged project set, including: obtaining a grid structure data set and equipment category data; the grid structure data set includes the power grid's power network topology data, node data and line data; the equipment category data includes equipment status data and equipment monitoring data; based on the preset production project packaging rules, each target power grid production project is packaged using the grid structure data set and equipment category data to obtain a packaged project set.
[0077] Among them, the grid structure data set includes the topological structure data, node data, and line data of the power network.
[0078] Among them, equipment category data includes detailed information of power equipment, including equipment status data, equipment monitoring data, etc.
[0079] Optionally, the server obtains power network topology data, node data, line data, equipment status data and equipment monitoring data. The server packages the target power grid production projects that have passed the review according to the three packaging principles of special work, equipment type and station-line feeder, combined with the automatic packaging algorithm, using the power network topology data, node data, line data, equipment status data and equipment monitoring data to form a packaged project set.
[0080] In this embodiment, the preset production project packaging rules are followed, and core resources such as grid structure data set and equipment category data are fully utilized to automatically package each target power grid production project to form a packaged project set, which promotes the connection with the existing business system, realizes the maximum sharing and utilization of data resources, and realizes automated project establishment.
[0081] In order to facilitate the understanding of those skilled in the art, Figure 3 A schematic diagram of a method for establishing a power grid production project is exemplarily provided, and the following embodiments are further explanations of a method for processing long-term planning basis information and short-term planning basis information.
[0082] In an exemplary embodiment, the long-term planning basis information includes a predicted asset wall, and multiple long-term planning basis information and multiple short-term planning basis information for the power grid are obtained, including: based on the historical asset wall of operating assets, taking the operating assets at the end of the previous year as the analysis object, and taking the original value of the assets and the year of commissioning as the analysis dimensions, establishing an asset wall corresponding to different types of assets; superimposing the asset walls corresponding to different types of assets to form a total asset wall; mapping the different types of assets in the total asset wall through Monte Carlo simulation to obtain the mapped asset values corresponding to the different types of assets; superimposing the mapped asset values corresponding to different types of assets to form a predicted asset wall as the long-term planning basis information.
[0083] Among them, the predicted asset wall can be an asset wall used to estimate the scale of asset base transformation, which can provide a reference for long-term resource allocation. In practical applications, the asset wall may contain information such as the scale, structure, distribution, useful life, and depreciation of the company's assets, which helps to evaluate the overall status of the assets and future renewal and transformation needs. By collecting relevant data on the asset wall, establishing an analysis model, and then conducting scale forecasts, the purpose is to plan resources in advance and ensure the smooth progress of asset base transformation.
[0084] Among them, operating assets refer to equipment assets that are operating in the power grid.
[0085] Optionally, the process of constructing the predicted asset wall is first to establish the historical asset wall of the assets in operation, taking the assets in operation at the end of the previous year as the analysis object, and establishing a single type of "asset wall" with the original value of the assets and the year of operation as the analysis dimensions; then, superimpose various types of assets to form a "total asset wall"; then, simulate the equipment life to perform asset mapping, and map various types of assets in the total asset wall through Monte Carlo simulation. Specifically, based on the historical asset wall, determine the translation time t, and perform "roulette" on each device. A prediction of the historical asset wall can obtain an asset projection curve. Using Monte Carlo random simulation, multiple repeated independent sampling experiments are carried out, and multiple projection operations are performed on the historical asset wall; finally, the values of various types of assets after mapping are superimposed to finally form a predicted asset wall as a basis for long-term planning.
[0086] In this embodiment, based on the historical asset wall of the operating assets, the operating assets at the end of the previous year are taken as the analysis objects, and the original value of the assets and the year of operation are taken as the analysis dimensions to establish asset walls corresponding to different types of assets; the asset walls corresponding to different types of assets are superimposed to form a total asset wall; the different types of assets in the total asset wall are mapped by Monte Carlo simulation to obtain the mapped asset values corresponding to the different types of assets; the mapped asset values corresponding to the different types of assets are superimposed to form a predicted asset wall as the basis information for long-term planning; in this way, the scale of asset base transformation can be estimated based on the predicted asset wall, providing a reference for long-term resource allocation.
[0087] In an exemplary embodiment, the long-term planning basis information includes a periodic maintenance plan, and multiple long-term planning basis information and multiple short-term planning basis information for the power grid are obtained, including: obtaining equipment historical maintenance data and equipment operating status data; based on equipment maintenance procedures, analyzing equipment historical maintenance data and equipment operating status data to obtain data analysis results; based on the data analysis results, generating a periodic maintenance plan as the long-term planning basis information.
[0088] The equipment historical maintenance data may refer to the historical maintenance record information of each equipment.
[0089] The device operation status data may refer to the operation status data of each device.
[0090] Among them, the equipment maintenance regulations cover the maintenance cycle, maintenance content, maintenance standards, and maintenance personnel qualification requirements of various equipment, providing a basis for formulating long-term equipment cycle maintenance plans.
[0091] The data analysis result may refer to the current status of the device.
[0092] Optionally, the server obtains historical equipment maintenance data and equipment operating status data, and generates a periodic maintenance plan based on the equipment maintenance procedures, combined with the historical equipment maintenance data and equipment operating status data. For example, the maintenance procedures for composite insulator equipment stipulate that the first random inspection is 6-9 years, which is determined according to the equipment operating environment, and the subsequent random inspection is once every 3-6 years, which is determined according to the previous historical random inspection results. By ensuring that the equipment is maintained at a reasonable cycle to maintain the good operating state of the equipment, the above work can reduce the risk of equipment failure and extend the service life of the equipment.
[0093] In this embodiment, historical maintenance data and equipment operating status data of the equipment are obtained; based on the equipment maintenance procedures, the historical maintenance data and equipment operating status data of the equipment are analyzed to obtain data analysis results; based on the data analysis results, a periodic maintenance plan is generated as the basis information for long-term planning; in this way, the risk of equipment failure can be reduced and the service life of the equipment can be extended.
[0094] In an exemplary embodiment, the long-term planning basis information includes key information of special work, and multiple long-term planning basis information and multiple short-term planning basis information for the power grid are obtained, including: according to the special work requirement information, determining the information capture rules for the natural language processing method; using the information capture rules to capture information for each power grid production project, and obtaining key information of the special work as the long-term planning basis information.
[0095] Among them, special work requirement information includes specific project tasks, goals, time nodes, resource requirements, quality standards and other detailed information, which may be related to the company's strategic development, technological innovation, market expansion, etc.
[0096] Among them, the key information of the special work may be keywords that can reflect the task information of the special work, such as "large-scale repairs", "technical transformation", "defect rectification", "urban village transformation", etc.
[0097] Optionally, in accordance with the requirements of the special work, the server generates NLP information crawling rules with the help of natural language processing (NLP) technology and information crawling tools, adopts NLP information crawling rules, uses NLP crawling technology to screen a large amount of project establishment information, and crawls key information such as "large-scale repairs", "technical transformation", "defect rectification", "urban village renovation" and other key information specified in the requirements of the relevant special work documents to obtain key information of the special work, with the aim of obtaining key information of the special work and providing strong support for related decision-making.
[0098] In this embodiment, information capture rules for natural language processing are determined according to the special work requirement information; information capture rules are used to capture information for each power grid production project to obtain key information of the special work as the basis for long-term planning; in this way, the pertinence and execution efficiency of the special work can be improved.
[0099] In an exemplary embodiment, the short-term planning basis information includes equipment defect description information, and multiple long-term planning basis information and multiple short-term planning basis information for the power grid are obtained, including: when a defect signal occurs in any device in the power grid, the equipment information and the equipment defect information of the equipment are obtained; the equipment defect information includes the defect type, defect source and defect level of the equipment; the equipment information and the equipment defect information of the equipment are filled into the defect ticket template to obtain the defect ticket corresponding to the equipment as the equipment defect description information.
[0100] The device defect description information may be text describing basic device information of the device and detailed device defect information.
[0101] Among them, defect signals can be urgent and major defects of equipment, such as sudden shutdown, exceeding of key parameters, etc.
[0102] The equipment information may refer to the basic information of the equipment, including name, model, serial number, department, installation location, service life, etc.
[0103] Among them, defect information includes equipment defect type, defect source and defect level. Defect type: divided into substation equipment defect, transmission equipment defect, distribution equipment defect, relay protection equipment defect, communication equipment defect, etc. according to equipment type; defect source can include: 1. patrol; 2. monitoring; 3. pre-test and scheduled inspection; 4. maintenance; 5. engineering legacy; 6. operation; 7. maintenance; 8. other; 9. drone patrol; 10. drone; 11. underground pipe network; defect level can be divided into: 1. emergency; 2. major; 3. general; 4. other.
[0104] The defect ticket template may be a pre-configured template for filling in the defect conditions of the equipment.
[0105] Optionally, for emergency and major defects of equipment such as sudden shutdown, exceeding of key parameters and other situation signals, the equipment information and detailed description of the equipment defects can be obtained, and the equipment information and detailed description of the equipment defects can be filled into the defect ticket template to obtain the equipment defect ticket, which records the basic information of the equipment and the detailed description of the defects in detail, and classifies the defect type, defect source and defect level.
[0106] In this embodiment, when a defect signal appears in any device in the power grid, the device information and the device defect information of the device are obtained; the device defect information includes the defect type, defect source and defect level of the device; the device information and the device defect information of the device are filled into the defect form template to obtain the defect form corresponding to the device as the device defect description information; in this way, the device details and defect information of the device can be recorded in detail through the defect form, which is conducive to the subsequent accurate assessment of the equipment situation and serves as accurate short-term planning basis information for reference.
[0107] In an exemplary embodiment, the short-term planning basis information also includes equipment status evaluation information. In actual applications, points can be deducted according to the equipment status quantity specified in the evaluation method in the equipment status evaluation guideline formulated within the enterprise, and then the deduction amount can be matched with the equipment status. The purpose is to evaluate the equipment status with a unified and established standard to avoid the problem of non-standard evaluation and achieve standardized processing of the problem. The specific process is as follows:
[0108] 1) Deduct points based on the equipment status. The equipment status includes two categories: overview and entity. Overview refers to family defects, and entity refers to the equipment's own parameters such as current, voltage, temperature, etc. Deduct points from the equipment overview and entity status according to the deduction criteria;
[0109] 2) The deduction amount matches the equipment status. The corresponding table of equipment status evaluation deductions takes into account both the deduction of single status items and the total deduction of sub-items. For example, if any of the general status items and the main status items of the metal oxide arrester meet the conditions that the single deduction item is less than 10 points and the total deduction item is less than 30 points, it is considered to be in normal status;
[0110] 3) Overall evaluation of the equipment: when all sub-items are evaluated as normal, the overall evaluation is normal; when the status of any sub-item is cautionary, abnormal or serious, the overall evaluation should be the most serious status. The total score of the overall evaluation is the sum of the total deductions of each sub-item.
[0111] Among them, the equipment status evaluation guidelines formulated by the enterprise are enterprise standards formulated by the enterprise based on the national industry equipment status evaluation procedures and combined with its own situation. The guidelines mainly include scope, referenced documents, term definitions and evaluation methods. The evaluation method is to conduct status evaluation by formulating equipment status quantity deduction standards and a status and evaluation deduction correspondence table.
[0112] In an exemplary embodiment, the short-term planning basis information also includes accident event information. In actual applications, for power accident events, such as personal injury incidents, a unified accident event report is formulated, including basic information such as the units involved in the incident, the course of the incident, the cause of the incident, the responsible persons, and the injuries to the main personnel.
[0113] In another embodiment, Figure 4 As shown, a method for establishing a power grid production project is provided, and the method is applied to Figure 1 The server 104 in the example is used as an example to illustrate, and the following steps are included:
[0114] Step S402, obtaining a plurality of long-term planning basis information and a plurality of short-term planning basis information for the power grid.
[0115] Step S404, determining the equipment configuration strategy of the target planning period according to the plurality of long-term planning basis information, and generating an equipment problem library according to the plurality of short-term planning basis information;
[0116] Step S406, summarizing the equipment configuration strategy and the equipment problem library, and determining at least one target power grid production project from the power grid production project set based on the power grid production project admission determination criteria;
[0117] Step S408, acquiring a grid structure data set and equipment category data; the grid structure data set includes power network topology data, node data and line data of the power grid; the equipment category data includes equipment status data and equipment monitoring data;
[0118] Step S410, based on the preset production project packaging rules, using the grid structure data set and the equipment category data, packaging each of the target power grid production projects to obtain the packaged project set to complete the power grid production project establishment task.
[0119] It should be noted that the specific limitations of the above steps can be found in the specific limitations of a method for establishing a power grid production project mentioned above.
[0120] It should be understood that, although the various steps in the flowcharts involved in the above-mentioned embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-mentioned embodiments can include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.
[0121] Based on the same inventive concept, the embodiment of the present application also provides a power grid production project establishment device for implementing the power grid production project establishment method involved above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above method, so the specific limitations in one or more power grid production project establishment device embodiments provided below can refer to the limitations of the power grid production project establishment method above, and will not be repeated here.
[0122] In an exemplary embodiment, Figure 5 As shown, a device for establishing a power grid production project is provided, including: an acquisition module 502, a determination module 504, a summary module 506 and a packaging module 508, wherein:
[0123] An acquisition module 502 is used to acquire a plurality of long-term planning basis information and a plurality of short-term planning basis information for a power grid;
[0124] A determination module 504 is used to determine the equipment configuration strategy of the target planning period according to the plurality of long-term planning basis information, and to generate an equipment problem library according to the plurality of short-term planning basis information;
[0125] A summarizing module 506 is used to summarize the equipment configuration strategy and the equipment problem library, and determine at least one target power grid production project from the power grid production project set based on the power grid production project admission determination criteria;
[0126] The packaging module 508 is used to package each target power grid production project according to the preset production project packaging rules to obtain a packaged project set to complete the power grid production project establishment task.
[0127] In one of the embodiments, the packaging module 508 is specifically used to obtain a grid structure data set and equipment category data; the grid structure data set includes the power network topology data, node data and line data of the power grid; the equipment category data includes equipment status data and equipment monitoring data; based on the preset production project packaging rules, the grid structure data set and equipment category data are used to package each target power grid production project to obtain a packaged project set.
[0128] In one embodiment, the long-term planning basis information includes a predicted asset wall, and the acquisition module 502 is specifically used to establish an asset wall corresponding to different types of assets based on the historical asset wall of the operating assets, taking the operating assets at the end of the previous year as the analysis object, and taking the original value of the assets and the year of commissioning as the analysis dimensions; superimposing the asset walls corresponding to the different types of assets to form a total asset wall; mapping the different types of assets in the total asset wall through Monte Carlo simulation to obtain the mapped asset values corresponding to the different types of assets; superimposing the mapped asset values corresponding to the different types of assets to form a predicted asset wall as the long-term planning basis information.
[0129] In one of the embodiments, the long-term planning basis information includes a periodic maintenance plan, and the acquisition module 502 is specifically used to obtain equipment historical maintenance data and equipment operating status data; based on the equipment maintenance procedures, the equipment historical maintenance data and equipment operating status data are analyzed to obtain data analysis results; based on the data analysis results, a periodic maintenance plan is generated as the long-term planning basis information.
[0130] In one of the embodiments, the long-term planning basis information includes key information of special work, and the acquisition module 502 is specifically used to determine the information capture rules for natural language processing according to the special work requirement information; the information capture rules are used to capture information of each power grid production project to obtain key information of the special work as the long-term planning basis information.
[0131] In one of the embodiments, the short-term planning basis information includes equipment defect description information, and the acquisition module 502 is specifically used to obtain the equipment information and equipment defect information of the equipment when a defect signal occurs in any equipment in the power grid; the equipment defect information includes the defect type, defect source and defect level of the equipment; the equipment information and equipment defect information of the equipment are filled into the defect ticket template to obtain the defect ticket corresponding to the equipment as the equipment defect description information.
[0132] Each module in the above-mentioned power grid production project establishment device can be implemented in whole or in part by software, hardware and a combination thereof. Each of the above-mentioned modules can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a memory in a computer device in the form of software, so that the processor can call and execute the operations corresponding to each of the above modules.
[0133] In an exemplary embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as shown in FIG. Figure 6As shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, referred to as I / O) and a communication interface. Among them, the processor, the memory and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store power grid production project establishment data. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a method for establishing a power grid production project is implemented.
[0134] Those skilled in the art will understand that Figure 6 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.
[0135] In one embodiment, a computer device is provided, including a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor executes the steps of the above-mentioned method for establishing a power grid production project. The steps of the method for establishing a power grid production project here can be the steps of the method for establishing a power grid production project in each of the above-mentioned embodiments.
[0136] In one embodiment, a computer-readable storage medium is provided, which stores a computer program. When the computer program is executed by a processor, the processor executes the steps of the above-mentioned method for establishing a power grid production project. The steps of the method for establishing a power grid production project here can be the steps of the method for establishing a power grid production project in each of the above-mentioned embodiments.
[0137] In one embodiment, a computer program product is provided, including a computer program. When the computer program is executed by a processor, the processor executes the steps of the above-mentioned method for establishing a power grid production project. The steps of the method for establishing a power grid production project here can be the steps of the method for establishing a power grid production project in each of the above-mentioned embodiments.
[0138] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but are not limited to this.
[0139] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.
[0140] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be construed as limiting the scope of the present application. It should be noted that, for a person of ordinary skill in the art, several modifications and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.
Claims
1. A method for establishing a power grid production project, characterized in that: The method comprises: Obtain multiple long-term planning basis information and multiple short-term planning basis information for the power grid; Determine the equipment configuration strategy of the target planning period according to the plurality of long-term planning basis information, and generate the equipment problem library according to the plurality of short-term planning basis information; Summarizing the equipment configuration strategy and the equipment problem library, and determining at least one target power grid production project from the power grid production project set based on the power grid production project access determination criteria; According to the preset production project packaging rules, each of the target power grid production projects is packaged to obtain a packaged project establishment set to complete the production project establishment task of the power grid.
2. The method according to claim 1, characterized in that The target power grid production projects are packaged according to the preset production project packaging rules to obtain a packaged project set, including: Acquire a grid structure data set and equipment category data; the grid structure data set includes power network topology data, node data and line data of the power grid; the equipment category data includes equipment status data and equipment monitoring data; Based on the preset production project packaging rules, the grid structure data set and the equipment category data are used to package each of the target power grid production projects to obtain the packaged project set.
3. The method according to claim 1, characterized in that The long-term planning basis information includes a predicted asset wall, and the obtaining of a plurality of long-term planning basis information and a plurality of short-term planning basis information for the power grid includes: On the basis of the historical asset wall of operating assets, the asset walls corresponding to different types of assets are established with the operating assets at the end of the previous year as the analysis objects, and with the original value of the assets and the year of operation as the analysis dimensions; Overlaying the asset walls corresponding to the different types of assets to form a total asset wall; By means of Monte Carlo simulation, asset mapping is performed on the different types of assets in the total asset wall to obtain the mapped asset values corresponding to the different types of assets; The mapped asset values corresponding to the different types of assets are superimposed to form the predicted asset wall, which serves as the basis information for the long-term planning.
4. The method according to claim 1, characterized in that: The long-term planning basis information includes a periodic maintenance plan, and the acquisition of a plurality of long-term planning basis information and a plurality of short-term planning basis information for the power grid includes: Obtain equipment historical maintenance data and equipment operating status data; Based on the equipment maintenance regulations, analyzing the equipment historical maintenance data and the equipment operation status data to obtain data analysis results; Based on the data analysis results, the periodic maintenance plan is generated as the basis information for the long-term plan.
5. The method according to claim 1, characterized in that The long-term planning basis information includes key information of special work, and the acquisition of multiple long-term planning basis information and multiple short-term planning basis information for the power grid includes: According to the information required by the special work, determine the information capture rules for natural language processing; The information capture rules are used to capture information from each power grid production project to obtain key information of the special work as the basis information for the long-term planning.
6. The method according to claim 1, characterized in that The short-term planning basis information includes equipment defect description information, and the acquiring of a plurality of long-term planning basis information and a plurality of short-term planning basis information for the power grid includes: When a defect signal appears in any device in the power grid, obtaining device information of the device and defect information of the device; the defect information of the device includes the defect type, defect source and defect level of the device; The device information of the device and the defect information of the device are filled into the defect sheet template to obtain the defect sheet corresponding to the device as the device defect description information.
7. A device for establishing a power grid production project, characterized in that: The device comprises: An acquisition module, used for acquiring a plurality of long-term planning basis information and a plurality of short-term planning basis information for a power grid; A determination module, configured to determine the equipment configuration strategy of the target planning period according to the plurality of long-term planning basis information, and to generate an equipment problem library according to the plurality of short-term planning basis information; A summarizing module, used to summarize the device configuration strategy and the device problem library, and determine at least one target power grid production project from the power grid production project set based on the power grid production project admission determination criteria; The packaging module is used to package each of the target power grid production projects according to the preset production project packaging rules to obtain a packaged project set to complete the production project establishment task of the power grid.
8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.
9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.
10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.