Overall management method and system for electric power reserve project

Abstract

The embodiment of the invention provides an overall management method and system for an electric power reserve project. The method comprises the following steps: respectively creating power reserve project problems of a first area level, a second area level and a third area level; performing classification processing on the power reserve project problems of each region level; obtaining source reserve associated data of the power reserve items based on the classified power reserve item problems of each region level; querying a demand library and a reserve library of the power reserve items, and matching with the power reserve items based on the classified power reserve item problems of each region level to obtain a matching result; and performing overall management on the power reserve project according to the source reserve associated data of the power reserve project and the matching result. According to the invention, the overall management method and system for the electric power reserve project can realize full-process digital management of the project, so that the efficiency and quality of electric power project management are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of power project management, and in particular to a method and system for overall management of power reserve projects. Background Art

[0002] With the rapid development of the power industry, the scale and complexity of project management are increasing. Although traditional project management methods have achieved information management to a certain extent, the following phenomena still exist in project reserve management: the overall balancing ability of project reserves is insufficient, making it difficult to achieve rational and scientific allocation of resources. There are difficulties in tracing the source of reserve projects, and it is difficult to effectively manage the project interface. The project reserve is out of touch with grassroots needs, resulting in waste of investment. The quality of project reserves is not high, and the proportion of later adjustments is large, resulting in waste of resources. These phenomena often have problems such as information islands, unreasonable resource allocation, and irregular project reserve management, resulting in low project management efficiency and low investment accuracy.

[0003] Therefore, there is a need for a coordinated management method and system for power reserve projects that can realize digital management of the entire project process in order to improve the efficiency and quality of power project management. Summary of the invention

[0004] The embodiment of the present invention provides a method and system for the overall management of power reserve projects, which can effectively integrate power project data and realize dynamic tracking and evaluation of power projects by using artificial intelligence and data fusion technology.

[0005] In a first aspect, the present application provides a method for overall management of a power reserve project, comprising: Creating power reserve project problems at the first regional level, the second regional level and the third regional level respectively, wherein the power reserve project problems include power grid operation problems, equipment maintenance problems and planning and development problems; Based on the power reserve project issues at each region level, basic data aggregation and common scenario construction are carried out, and the power reserve project issues at each region level are classified and processed; Based on the classified power reserve project issues at each regional level, the source reserve related data of the power reserve project is obtained; Query the demand library and reserve library of power reserve projects, match the power reserve projects with the classified regional power reserve project issues, and obtain matching results; In the case where a power reserve project that fails to match is determined based on the matching result, the corresponding power reserve project issue is returned; The power reserve project is managed in a coordinated manner based on the source reserve associated data of the power reserve project and the matching results.

[0006] In one embodiment, the third regional level is smaller than the second regional level, and the second regional level is smaller than the first regional level; and the steps of creating power reserve project problems at the first regional level, the second regional level, and the third regional level, respectively, include: Obtaining image information and location information of the problem scene at the first regional level, and problem description information on the social platform at the first regional level; Creating a first-region-level power reserve project problem based on the image information and location information of the problem site at the first-region-level and the problem description information on the first-region-level social platform; wherein the first-region-level corresponds to at least one first region; Determine the similarity of problems between the first regions based on the problem description information on the social platform; When the problem similarity is greater than a preset similarity threshold, obtaining historical problems of the power reserve project at the second regional level, and obtaining the problem correlation between the historical problems and the power reserve project problems at the first regional level; When the problem relevance is higher than a preset relevance threshold, creating a second regional-level power reserve project problem based on the first regional-level power reserve project problem; Based on the power reserve project problem at the second regional level, a third regional level power reserve project problem is created.

[0007] In one embodiment, after obtaining the problem correlation between the historical problem and the power reserve project problem at the first regional level, the method further includes: When the problem relevance is not higher than a preset relevance threshold, image information and location information of the problem scene at the second regional level and problem description information of the social platform at the second regional level are obtained; The second regional level power reserve project problem is created based on the image information and positioning information of the problem site at the second regional level, the problem description information of the social platform at the second regional level, and the power reserve project problem at the first regional level.

[0008] In one embodiment, the querying of the demand library and reserve library of the power reserve project, matching the power reserve project with the power reserve project based on the classified power reserve project problems at each regional level, and obtaining the matching results includes: Based on the classified power reserve project issues at each regional level, key information is extracted and sentiment analysis is performed to determine the urgency of the power reserve project issues; Determine the priority of handling the problems according to the urgency of the power reserve project problems and the types of problems after classification; The problem type and processing priority are used as indexes to query the power reserve projects in the demand library and the reserve library, and the problem description is matched with the power reserve projects by comparing the similarity between the project attributes to obtain the matching result.

[0009] In one embodiment, after obtaining the matching result, the method further includes: Use the rules in the preset rule engine to match the corresponding processing flow according to the problem type and processing priority, and determine the responsible team for problem handling based on the matched processing flow; Visually displaying the matching results, including detailed information on the power reserve project problem and recommended power reserve projects; Obtaining AI monitoring data and review information jointly sent by the responsible team based on the matching results; The matching result and the parameters of the matching algorithm are dynamically adjusted according to the review information.

[0010] In one embodiment, after obtaining the matching result, the method further includes: According to the matching results, obtaining the correlation law between the power reserve project problem and the power project demand; According to the association law, simulation technology is used to predict and evaluate the implementation effect of the power reserve project to obtain an evaluation result; According to the evaluation result, the matching result and the parameters of the matching algorithm are dynamically adjusted.

[0011] In one embodiment, after determining the responsible team for problem handling, the method further includes: Define data access rights specific to the integrated plan at different regional levels; Based on data access permissions, ensure that the responsible team can only access the data of the current problem processing node; Regularly review and update permission settings, and dynamically adjust data access permissions for responsible teams based on changing environmental conditions.

[0012] In a second aspect, the present application also provides a system for coordinating and managing a power reserve project, including: A problem creation module, used to create power reserve project problems at the first regional level, the second regional level and the third regional level respectively, wherein the power reserve project problems include power grid operation problems, equipment maintenance problems and planning and development problems; The problem processing module is used to aggregate basic data and construct common scenarios based on the power reserve project problems at each regional level, and to classify and process the power reserve project problems at each regional level; A data access module is used to obtain source reserve related data of power reserve projects based on the classified power reserve project issues at each regional level; The project matching module is used to query the demand library and reserve library of power reserve projects, match the power reserve projects with the power reserve projects based on the classified power reserve project issues at each regional level, and obtain matching results; The problem processing module is further used to return the corresponding power reserve project problem when it is determined based on the matching result that a power reserve project has failed to match; The project overall management module is used to carry out overall management of the power reserve project based on the source reserve associated data of the power reserve project and the matching results.

[0013] In a third aspect, the present application further provides a computer device, comprising 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.

[0014] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program implements the steps of the above method when executed by a processor.

[0015] The above-mentioned method and system for the coordinated management of power reserve projects can carry out refined management for specific needs of different regions by creating power reserve project problems at different regional levels, which helps to achieve rational and scientific allocation of resources, thereby improving the coordinated balance ability of project reserves. Through basic data aggregation and common scenario construction, a clear data foundation is provided for project reserves, making the management of project interfaces more effective and simplifying the process of project traceability. By closely combining project reserves with grassroots needs, it helps to ensure that project investments are more accurate, thereby reducing investment waste caused by the disconnection between project reserves and actual needs. By classifying power reserve project problems, it helps to improve the quality of project reserves and reduce the proportion of later adjustments, thereby avoiding resource waste. Through automated matching processes and intelligent coordinated management, the efficiency of project management can be significantly improved, and the time and energy consumption of manual operations can be reduced. By querying the demand library and reserve library and matching the classified problems with the project, it helps to optimize resource allocation and ensure that resources are allocated to where they are most needed. In the event of a matching failure, the method allows the corresponding power reserve project problems to be returned, and this flexibility helps to adapt to changing project needs and environmental conditions. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the drawings required for use in the embodiments of the present application or related technical descriptions will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0017] Figure 1 An application environment diagram of a method for overall management of power reserve projects in one embodiment; Figure 2 A schematic diagram of a flow chart of a method for overall management of a power reserve project in one embodiment; Figure 3 A schematic flow chart of a method for overall management of power reserve projects in another embodiment; Figure 4 A schematic diagram of a flow chart of a method for overall management of a power reserve project in yet another embodiment; Figure 5 A structural block diagram of a comprehensive management system for a power reserve project in one embodiment; Figure 6 FIG. 4 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0018] 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.

[0019] The overall management method of the power reserve project provided in the embodiment of the present application can be applied to Figure 1 In the application environment shown, the terminal 102 communicates with the server 104 through a network. The data storage system can store data that the server 104 needs to process. The data storage system can be integrated on the server 104, or placed on the cloud or other network servers.

[0020] The terminal 102 may be, but is not limited to, various personal computers, laptops, smart phones, tablet computers, IoT devices, and portable wearable devices. The IoT devices may be smart speakers, smart TVs, smart air conditioners, smart car devices, projection devices, etc. Portable wearable devices may be smart watches, smart bracelets, head-mounted devices, etc. Head-mounted devices may be virtual reality (VR) devices, augmented reality (AR) devices, smart glasses, etc. The server 104 may be an independent physical server, a server cluster or distributed system consisting of multiple physical servers, or a cloud server that provides cloud computing services.

[0021] In an exemplary embodiment, Figure 2 As shown, a method for overall management of power reserve projects is provided, which is applied to Figure 1 The server in the example is used to illustrate, including the following steps S202 to S212. Among them: Step S202, respectively create power reserve project problems at the first regional level, the second regional level and the third regional level, where the power reserve project problems include power grid operation problems, equipment maintenance problems and planning and development problems.

[0022] Specifically, the regional levels are divided as follows: The third regional level: usually refers to the most basic regional unit. These regions directly face end users and are responsible for dealing with the most direct and specific grid operation, equipment maintenance and planning development issues.

[0023] Second regional level: may refer to larger regions. These regions are responsible for coordinating and managing project issues of multiple first regional level units, dealing with cross-regional power grid operation and equipment maintenance issues, as well as larger-scale planning and development issues.

[0024] The first regional level: may refer to larger regions. These regions are responsible for reviewing and planning the operation and development of the entire power system from a macro perspective and dealing with national power grid operation and planning development issues.

[0025] Types of power reserve project issues include at least: Grid operation issues: These are related to the daily operation of the grid, including grid stability, power supply reliability, power dispatching, etc. These issues need to be addressed in a timely manner to ensure the safe and stable operation of the grid.

[0026] Equipment maintenance issues: These issues involve the maintenance and overhaul of various equipment in the power system, such as transformers, transmission lines, and distribution equipment. Timely handling of these issues is crucial to ensuring the normal operation of the equipment and extending its life.

[0027] Planning and development issues: These issues involve the long-term development planning of the power system, including new power grid projects, power grid upgrades and renovations, and new energy access. The handling of these issues requires consideration of long-term development needs and strategic planning.

[0028] By creating power reserve project issues at the regional level, more refined management can be achieved to ensure that issues at each level receive appropriate attention and processing. Issues at different regional levels may require different resources and technical support. By creating by category, resources can be allocated more reasonably and the efficiency of problem solving can be improved.

[0029] Step S204, based on the power reserve project problems at each regional level, basic data aggregation and common scenario construction are performed, and the power reserve project problems at each regional level are classified and processed.

[0030] Specifically, basic data aggregation refers to the integration of data from different sources and in different formats into a unified platform or system for further analysis and processing. In power project management, this may include data collection, data cleaning, and data integration.

[0031] Common scenario construction refers to identifying and defining common problem types and processing processes in power projects so that they can be reused in different regions and projects. This includes: Scenario recognition: By analyzing historical data and current projects, common problem scenarios can be identified, such as power grid failures, equipment aging, and new energy access.

[0032] Process definition: Define standardized processing procedures and operation steps for each common scenario, including problem identification, analysis, decision-making and execution.

[0033] Template creation: Create templates or tools for each common scenario to guide project teams to follow standardized processes.

[0034] Classification processing refers to classifying power reserve project problems according to factors such as the type of problem, urgency, and scope of impact, and taking corresponding processing measures, including problem classification, priority sorting, and resource allocation.

[0035] Through basic data aggregation, common scenario construction and classification processing, we ensure that each problem receives appropriate attention and processing, improve the accuracy of problem handling, rationally allocate human, material and financial resources, and ensure that problems are effectively resolved.

[0036] Step S206, based on the classified power reserve project issues at each regional level, source reserve related data of the power reserve project is obtained.

[0037] Specifically, source reserve-related data refers to the original data and information directly associated with the power reserve project, which usually includes: Project demand data: Specific demands derived from the classification and processing of regional power reserve project issues, such as grid upgrades, equipment updates, and new energy access.

[0038] Resource availability data: including the current status and expected availability of human, material, financial and other resources.

[0039] Historical project data: the implementation status, results and lessons learned of previous similar projects.

[0040] Specifically, based on the classified power reserve project issues at the regional level, data related to power reserve projects are collected from different data sources, including internal databases, external partners, public data sources, etc. The collected data is integrated to form a unified data view for easy analysis and utilization. Data analysis tools and technologies are used to conduct in-depth analysis of the integrated data to extract valuable information and insights. The analysis results are verified to ensure the accuracy and reliability of the data.

[0041] Step S208, querying the demand library and reserve library of the power reserve project, matching the power reserve project with the power reserve project based on the classified power reserve project issues at each regional level, and obtaining a matching result.

[0042] Specifically, the demand library is a database that contains all identified power project requirements, which may come from grid operation issues, equipment maintenance issues, or planning and development issues. The data in the demand library is classified and processed to facilitate matching with power reserve projects.

[0043] The reserve is a database of all potential power projects that have been preliminarily evaluated and considered viable solutions but have not yet been formally approved or implemented. Projects in the reserve also need to be matched with problems in the demand pool.

[0044] The classified power reserve project issues are extracted from the demand library, and these data will serve as the basis for matching. Specific algorithms (such as fuzzy matching, machine learning models, etc.) are used to compare the issues in the demand library and the projects in the reserve library to determine which projects are most likely to solve specific problems. The algorithm will output matching results, which usually include one or more recommended power reserve projects and their degree of match with the demand.

[0045] The automated matching process can quickly find the most suitable solution from a large amount of data, greatly improving matching efficiency. By accurately matching requirements and projects, it can ensure that resources are allocated to where they are most needed, thereby optimizing resource allocation.

[0046] It should be noted that, in the case that the power reserve project problem at the third regional level is not matched with a suitable power reserve project, the second regional level platform can be used to assist in solving the power reserve project problem at the third regional level so as to match it with a suitable power reserve project; similarly, in the case that the power reserve project problem at the second regional level is not matched with a suitable power reserve project, the first regional level platform can be used to assist in solving the power reserve project problem at the second regional level so as to match it with a suitable power reserve project.

[0047] Step S210: when it is determined based on the matching result that a power reserve project has failed to match, the corresponding power reserve project issue is returned.

[0048] Specifically, matching failure refers to the failure to find a suitable power reserve project to meet a specific power reserve project problem during the matching process between the demand pool and the reserve pool. This may be due to the following reasons: unclear demand, insufficient project resources, technical or policy limitations, and poor cost-benefit analysis.

[0049] When the match fails, the corresponding power reserve project issue needs to be returned for further processing. The return process includes the following steps: Re-evaluate the returned issue to determine the nature and urgency of the issue. Supplement more information, such as more detailed field data, user feedback, or technical assessment, to help re-match or adjust project requirements. Based on the results of the re-evaluation, the problem handling process can be adjusted, such as changing the problem classification, adjusting the priority, or redefining the requirements. If the issue requires a different responsible team to handle it, the responsibility can be reallocated.

[0050] By returning and re-working unmatched issues, you increase the likelihood that the issue will eventually be resolved. The return process helps optimize the project management process and ensures that each issue receives the appropriate attention and processing.

[0051] Step S212, comprehensively managing the power reserve project according to the source reserve associated data and matching results of the power reserve project.

[0052] Specifically, analyze the source reserve related data and matching results, identify key issues and opportunities, and obtain analysis results; formulate project plans for power reserve projects based on the analysis results, including project goals, scope, schedule, and budget; allocate resources reasonably according to the project plan to ensure that each power reserve project has sufficient resources to support its implementation. Execute power reserve projects according to project plans, and monitor project progress and resource usage; regularly monitor project progress, evaluate project results, and ensure the achievement of project goals.

[0053] In the above-mentioned method for the coordinated management of power reserve projects, by creating power reserve project issues at different regional levels, it is possible to carry out refined management for specific needs in different regions, which helps to achieve rational and scientific allocation of resources, thereby improving the coordinated balance ability of project reserves. Through the aggregation of basic data and the construction of common scenarios, a clear data foundation is provided for project reserves, making the management of project interfaces more effective and simplifying the process of project traceability. By closely combining project reserves with grassroots needs, it helps to ensure that project investments are more accurate, thereby reducing investment waste caused by the disconnection between project reserves and actual needs. By classifying power reserve project issues, it helps to improve the quality of project reserves and reduce the proportion of later adjustments, thereby avoiding resource waste. Through automated matching processes and intelligent coordinated management, the efficiency of project management can be significantly improved, and the time and energy consumption of manual operations can be reduced. By querying the demand library and reserve library and matching the classified issues with the project, it helps to optimize resource allocation and ensure that resources are allocated to where they are most needed. In the event of a matching failure, the method allows the corresponding power reserve project issues to be returned, and this flexibility helps to adapt to changing project needs and environmental conditions.

[0054] In an exemplary embodiment, Figure 3 As shown, the third regional level is smaller than the second regional level, and the second regional level is smaller than the first regional level; the power reserve project problems of the first regional level, the second regional level and the third regional level are created respectively, including: Step S302, obtaining image information and location information of the problem scene at the first regional level, and problem description information on the social platform at the first regional level; Step S304, creating a first regional-level power reserve project problem according to the image information and location information of the problem site at the first regional level and the problem description information on the first regional-level social platform; wherein the first regional level corresponds to at least one first region; Step S306, determining the similarity of questions between the first regions according to the question description information on the social platform; Step S308, when the problem similarity is greater than a preset similarity threshold, obtaining historical problems of the power reserve project at the second regional level, and obtaining the problem correlation between the historical problems and the power reserve project problems at the first regional level; Step S310, when the problem relevance is higher than a preset relevance threshold, creating a second regional level power reserve project problem according to the first regional level power reserve project problem; Step S312: creating a third regional-level power reserve project problem based on the second regional-level power reserve project problem.

[0055] Specifically, step S302: obtaining problem site information at the first regional level.

[0056] Image information: Use the camera of a mobile device or computer terminal to capture images or videos of the problem scene. These image information can intuitively show the nature and severity of the problem.

[0057] Positioning information: Obtaining the precise location of the problem through GPS or other positioning technology helps to determine the specific location of the problem and the scope of possible impact.

[0058] Problem description information from social platforms: Collect user reports or descriptions from social media, online forums, or other social platforms, which can provide additional context and user feedback on the problem.

[0059] Step S304: Create a first regional-level power reserve project problem.

[0060] Based on the collected on-site image information, location information, and problem description information on the social platform, create specific and detailed first-region-level power reserve project questions. Each first-region-level question corresponds to at least one specific first region, ensuring the specificity and operability of the question. It should be noted that in this embodiment, the first-region level can refer to the county level.

[0061] Step S306: Determine question similarity.

[0062] Analyze the problem descriptions between the first regions and use text analysis, natural language processing and other technologies to determine the similarities between the problems. This helps to identify common problems across regions and provide a basis for subsequent regional-level problem aggregation.

[0063] Step S308: Obtain historical questions and question relevance.

[0064] When the problem similarity is greater than a preset similarity threshold, historical problem records of the power reserve project at the second regional level are obtained. The correlation between these historical problems and the current first regional level power reserve project problems is analyzed to determine whether there are similar or related problem histories. It should be noted that in this embodiment, the first regional level may refer to the city level.

[0065] Step S310: Create a second regional-level power reserve project problem.

[0066] When the problem correlation is higher than the preset correlation threshold, a more macro second regional power reserve project problem is created based on the first regional power reserve project problem. This helps to coordinate management and solve common problems in a wider regional scope.

[0067] Step S312: Create a third regional level power reserve project problem.

[0068] Based on the second regional level power reserve project issues, the third regional level power reserve project issues are further created. The third regional level issues usually involve a wider geographical scope and a more macro management level, such as provincial power planning and development.

[0069] In this embodiment, the step-by-step aggregation method can ensure that specific on-site problems and macro regional problems can be effectively identified, analyzed and managed, thereby improving the efficiency and effectiveness of power project management. At the same time, this method also helps to achieve information sharing and collaborative work between different regional levels, promoting the optimization and sustainable development of the power system.

[0070] In an exemplary embodiment, after obtaining the problem correlation between the historical problem and the power reserve project problem at the first regional level, the method further includes: When the problem relevance is not higher than a preset relevance threshold, image information and location information of the problem scene at the second regional level and problem description information of the social platform at the second regional level are obtained; The second regional level power reserve project problem is created based on the image information and positioning information of the problem site at the second regional level, the problem description information of the social platform at the second regional level, and the power reserve project problem at the first regional level.

[0071] Specifically, when the problem correlation is not higher than the preset correlation threshold, this indicates that there is not enough similarity or connection between the first regional-level power reserve project problem and the second regional-level historical problem. Specifically, the first regional-level problem may be unique, and it is significantly different from the second regional-level historical problem. The problem may reflect regional-specific conditions or needs, such as geography, climate, technical infrastructure or socioeconomic factors, which may be uncommon or irrelevant in other regions. In this case, it is necessary to further collect and analyze the image information, positioning information and problem description information of the problem site at the second regional level, and then combine it with the power reserve project problem at the first regional level, so as to more accurately create the second regional-level power reserve project problem. Specifically, the combination method can be: the image information, positioning information and problem description information of the problem site at the second regional level, and the power reserve project problem at the first regional level can be converted into numerical form, and weighted calculation is performed in a weighted ratio manner to create the second regional-level power reserve project problem.

[0072] Collect image information and location information of the problem site at the second regional level, which can provide visual evidence and geographic location of the problem. Obtain description information of the problem at the second regional level from social platforms, which can provide detailed background and user feedback of the problem. Create the power reserve project problem at the second regional level based on the collected image information, location information and problem description information of the social platform, combined with the power reserve project problem at the first regional level. Ensure that the second regional level problems can accurately reflect the commonalities and differences of the first regional level problems, as well as the specific circumstances of the second regional level.

[0073] In this embodiment, when the problem correlation is not higher than the preset correlation threshold, the second regional level power reserve project problems are created based on the collected information at the second regional level and the power reserve project problems at the first regional level, which helps to achieve refined, efficient and scientific power project management.

[0074] It should be noted that there is at least one second region corresponding to the second regional level. When creating the power project reserve problem at the third regional level, the above steps can also be referred to to determine the problem correlation between the historical problems at the third regional level and the power reserve project problems at the second regional level, and then determine the creation method of the power reserve project problems at the third regional level.

[0075] In an exemplary embodiment, Figure 4 As shown, the demand library and reserve library of the power reserve project are queried, and the power reserve project problems at each regional level after classification are matched with the power reserve project to obtain matching results, including: Step S402, based on the classified power reserve project problems at each regional level, extract key information, perform sentiment analysis, and determine the urgency of the power reserve project problems; Step S404, determining the priority of the problem according to the urgency of the power reserve project problem and the problem type after classification and processing; Step S406, using the question type and processing priority as indexes, querying the power reserve projects in the demand library and the reserve library, and matching the question description with the power reserve projects by comparing the similarity between the question description and the project attributes to obtain a matching result.

[0076] Specifically, step S402: extract key information and perform sentiment analysis.

[0077] Natural language processing (NLP) technology is used to extract key information from the description of power reserve project problems, such as problem type, scope of impact, possible causes, etc. Sentiment analysis technology is applied to evaluate the emotional tendency in the problem description, which helps to determine the urgency of the problem. For example, descriptions containing words such as "urgent" and "immediate" may indicate that the problem is very urgent.

[0078] Step S404: Determine the processing priority of the problem.

[0079] Based on the results of sentiment analysis, combined with the actual impact of the problem (such as the scope of the power outage, the number of users affected, etc.), the urgency of the problem is assessed. The specific type of problem (such as power grid operation problems, equipment maintenance problems, etc.) is considered, because some types of problems may naturally have higher priorities. Based on the urgency and problem type, the priority of problem handling is determined. This will affect the sorting and selection of problems when they are matched in the demand library and reserve library.

[0080] Step S406: query the demand library and the reserve library for matching.

[0081] Use the problem type and processing priority as an index to quickly query the relevant power reserve projects in the demand library and reserve library. By comparing the similarity between the problem description and the project attributes (such as project goals, expected results, required resources, etc.), determine which power reserve projects are most likely to solve specific power reserve project problems. Based on the similarity comparison, matching results are obtained, which will include the power reserve projects that best meet the current problem requirements.

[0082] In this embodiment, by quickly and accurately matching problems and projects, the response speed of problems can be accelerated, resources can be ensured to be allocated to where they are most needed, and resource utilization efficiency can be improved. Through the automated matching process, manual operations can be reduced and the overall efficiency of project management can be improved.

[0083] In an exemplary embodiment, after obtaining the matching result, the method further includes: Use the rules in the preset rule engine to match the corresponding processing flow according to the problem type and processing priority, and determine the responsible team for problem handling based on the matched processing flow; Visually display the matching results, including detailed information on the power reserve project issues and recommended power reserve projects; Obtain AI monitoring data and review information sent jointly by the responsible team based on matching results; According to the review information, the matching results and matching algorithm parameters are dynamically adjusted.

[0084] Specifically, the rules in the preset rule engine are used, which are defined based on the problem type, urgency and processing priority. According to the output of the rule engine, the corresponding processing flow is matched. Each problem type may correspond to one or more processing flows. Once the processing flow is determined, the system will automatically assign or recommend the most appropriate responsible team to handle the problem according to the process requirements.

[0085] The matching results are displayed through a visual interface, including detailed information of power reserve project problems (such as problem description, scope of impact, urgency, etc.) and recommended power reserve projects. Users (such as project managers, decision makers, etc.) are allowed to interact with the visualization results, such as zooming in to view detailed information, filtering specific projects, etc.

[0086] Using artificial intelligence technology to monitor the problem handling process and collect data such as processing efficiency and resource usage can alleviate the inefficiency of manual monitoring and be more sensitive and predictive. After the responsible team handles the problem based on the matching results, it sends a review message, including the handling results, problems encountered, and improvement suggestions.

[0087] Analyze the effectiveness and accuracy of the matching results based on the review information provided by the responsible team. Based on the analysis results, dynamically adjust the parameters of the matching algorithm to improve the accuracy and efficiency of future matches. If certain processing processes are found to be ineffective, adjust or optimize these processes based on feedback.

[0088] In this embodiment, the problem solving speed is accelerated by automating the matching process and the responsible team. Visual display and interactive functions enhance decision support, allowing decision makers to understand problems and solutions more intuitively. Through monitoring and review, feedback information is continuously collected to optimize the matching algorithm and processing flow to achieve continuous improvement. The responsible team is clarified and the processing results are displayed to improve the transparency and accountability of project management. These steps together constitute a closed-loop power project management and optimization process, which not only ensures that current problems are effectively handled, but also improves the overall performance of future project management through continuous learning and improvement.

[0089] In an exemplary embodiment, after obtaining the matching result, the method further includes: According to the matching results, the correlation between the power reserve project problem and the power project demand is obtained; According to the correlation law, simulation technology is used to predict and evaluate the implementation effect of the power reserve project and obtain the evaluation results; According to the evaluation results, the matching results and matching algorithm parameters are dynamically adjusted.

[0090] Specifically, we conduct in-depth analysis of the matching results to explore the correlation between power reserve project problems and power project needs. We use data mining and pattern recognition technology to discover the potential connections and patterns between problems and needs from historical data. Through the knowledge discovery process, we summarize successful matching cases and extract reusable experiences and rules.

[0091] According to the association rules, a simulation model of the power reserve project is established to simulate the project implementation process and possible results. The simulation model is run to predict and evaluate the implementation effects of different schemes, including cost, time, resource consumption and benefits. The results of the simulation operation are collected to evaluate the potential impact and success rate of different power reserve projects.

[0092] Analyze simulation evaluation results to identify which matching results are effective and which may need improvement. Based on the evaluation results, dynamically adjust the parameters of the matching algorithm to improve the accuracy and efficiency of future matching. Use the insights gained from the evaluation to optimize the current matching results and ensure that the recommended power reserve projects are more in line with actual needs and conditions.

[0093] In this embodiment, simulation technology is used to predict the implementation effect of the power reserve project in advance and improve the accuracy of decision-making. Based on the prediction and evaluation results, resources are allocated more reasonably to ensure the successful implementation of the project. By continuously adjusting the matching algorithm and optimizing the matching results, the continuous improvement of the power project management process is achieved. These steps together constitute a closed-loop optimization process, which not only ensures the matching and implementation effect of the current power reserve project, but also improves the overall performance and adaptability of future project management through continuous learning and improvement.

[0094] In an exemplary embodiment, after determining the responsible team for problem handling, the method further includes: Define data access rights specific to the integrated plan at different regional levels; Based on data access permissions, ensure that the responsible team can only access the data of the current problem processing node; Regularly review and update permission settings, and dynamically adjust data access permissions for responsible teams based on changing environmental conditions.

[0095] Specifically, different roles are defined for integrated planning specialists at different regional levels, and each role corresponds to different responsibilities and permissions. According to the role definition, corresponding data access permissions are set. For example, the integrated planning specialist at the first regional level may need to access more detailed field data, while the integrated planning specialist at the third regional level may need to access more macro-strategy and planning data.

[0096] Follow the principle of least privilege to ensure that each team or individual can only access the data necessary to fulfill their responsibilities and reduce the risk of data leakage. In the project management process, each problem processing node has specific data requirements. Ensure that the responsible team can only access data related to the current node.

[0097] Use access control lists (ACLs) or role-based access control (RBAC) to limit data access permissions and ensure data security. For sensitive or confidential data, implement data isolation measures to prevent unauthorized access. Regularly review the effectiveness and compliance of permission settings to ensure that they still meet the organization's security policies and data protection regulations.

[0098] As the project progresses and environmental conditions change, permission settings may need to be adjusted. For example, when the project enters a new phase, the responsible team may need to access different types of data. Based on the review results and environmental changes, dynamically adjust the data access rights of the responsible team to ensure flexibility and adaptability of data access.

[0099] For example, in the power industry, summer and winter may be peak seasons for electricity consumption, requiring special monitoring and maintenance of the power grid. Before the high-load season, increase the data access rights of the operation and maintenance team to enable them to access more real-time monitoring data and historical maintenance records, so as to monitor and maintain the power grid more effectively. After the high-load season, restore the regular data access rights and reduce access to sensitive data to reduce the risk of data leakage.

[0100] In this embodiment, data security is improved and data leakage and abuse are prevented by defining clear data access permissions and control measures. The efficiency and effectiveness of project management are improved by ensuring that the responsible team can only access necessary data. By regularly reviewing and dynamically adjusting permission settings, data access policies are made more flexible and can adapt to changing project needs and environmental conditions. Together, these steps form a comprehensive data access control and management system that helps ensure data security and compliance of the power project digital management platform while improving the efficiency and effectiveness of project management.

[0101] 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.

[0102] Based on the same inventive concept, the embodiment of the present application also provides a system for managing power reserve projects for implementing the above-mentioned method for managing power reserve projects. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above-mentioned method, so the specific limitations in the embodiment of the system for managing one or more power reserve projects provided below can be found in the above-mentioned definition of the method for managing power reserve projects, and will not be repeated here.

[0103] In an exemplary embodiment, Figure 5 As shown, a comprehensive management system for power reserve projects is provided, including: A problem creation module 502 is used to create power reserve project problems at the first regional level, the second regional level and the third regional level respectively, where the power reserve project problems include power grid operation problems, equipment maintenance problems and planning and development problems; The problem processing module 504 is used to aggregate basic data and construct common scenarios based on the power reserve project problems at each regional level, and to classify and process the power reserve project problems at each regional level; The data access module 506 is used to obtain source reserve related data of the power reserve project based on the power reserve project problems at each regional level after classification processing; The project matching module 508 is used to query the demand library and reserve library of the power reserve project, match the power reserve project with the power reserve project based on the classified power reserve project problems at each regional level, and obtain the matching results; The problem processing module 504 is further used to return the corresponding power reserve project problem when it is determined based on the matching result that a power reserve project fails to match. The project overall management module 510 is used to carry out overall management of the power reserve project based on the source reserve associated data and matching results of the power reserve project.

[0104] Each module in the above-mentioned integrated management system of power reserve projects can be implemented in whole or in part by software, hardware, or 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 operations corresponding to each of the above modules.

[0105] 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. 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. 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 historical power project-related 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 overall management of power reserve projects is implemented.

[0106] 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.

[0107] In an exemplary embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps of the above method when executing the computer program.

[0108] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the steps of the above method are implemented.

[0109] In one embodiment, a computer program product is provided, comprising a computer program, which implements the steps of the above method when executed by a processor.

[0110] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0111] A person of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment method 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 the present application can include at least one of non-volatile memory 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), magnetic 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, an artificial intelligence (AI) processor, etc., but are not limited to this.

[0112] 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 application.

[0113] 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 understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations 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 overall management of power reserve projects, characterized in that: include: Creating power reserve project problems at the first regional level, the second regional level and the third regional level respectively, wherein the power reserve project problems include power grid operation problems, equipment maintenance problems and planning and development problems; Based on the power reserve project issues at each region level, basic data aggregation and common scenario construction are carried out, and the power reserve project issues at each region level are classified and processed; Based on the classified power reserve project issues at each regional level, the source reserve related data of the power reserve project is obtained; Query the demand library and reserve library of power reserve projects, match the power reserve projects with the classified regional power reserve project issues, and obtain matching results; In the case where a power reserve project that fails to match is determined based on the matching result, the corresponding power reserve project issue is returned; The power reserve project is managed in a coordinated manner based on the source reserve associated data of the power reserve project and the matching results.

2. The method according to claim 1, characterized in that The third regional level is smaller than the second regional level, and the second regional level is smaller than the first regional level; The problem of creating power reserve projects at the first regional level, the second regional level and the third regional level respectively includes: Obtaining image information and location information of the problem scene at the first regional level, and problem description information on the social platform at the first regional level; Creating a first-region-level power reserve project problem based on the image information and location information of the problem site at the first-region-level and the problem description information on the first-region-level social platform; wherein the first-region-level corresponds to at least one first region; Determine the similarity of problems between the first regions based on the problem description information on the social platform; When the problem similarity is greater than a preset similarity threshold, obtaining historical problems of the power reserve project at the second regional level, and obtaining the problem correlation between the historical problems and the power reserve project problems at the first regional level; When the problem relevance is higher than a preset relevance threshold, creating a second regional-level power reserve project problem based on the first regional-level power reserve project problem; Based on the power reserve project problem at the second regional level, a third regional level power reserve project problem is created.

3. The method according to claim 2, characterized in that After obtaining the problem correlation between the historical problem and the first regional level power reserve project problem, the method further includes: When the problem relevance is not higher than a preset relevance threshold, image information and location information of the problem scene at the second regional level and problem description information of the social platform at the second regional level are obtained; The second regional level power reserve project problem is created based on the image information and positioning information of the problem site at the second regional level, the problem description information of the social platform at the second regional level, and the power reserve project problem at the first regional level.

4. The method according to claim 1, characterized in that The query of the demand library and reserve library of the power reserve project, based on the classified power reserve project problems at each regional level, is matched with the power reserve project to obtain a matching result, including: Based on the classified power reserve project issues at each regional level, key information is extracted and sentiment analysis is performed to determine the urgency of the power reserve project issues; Determine the priority of handling the problems according to the urgency of the power reserve project problems and the types of problems after classification; The problem type and processing priority are used as indexes to query the power reserve projects in the demand library and the reserve library, and the problem description is matched with the power reserve projects by comparing the similarity between the project attributes to obtain the matching result.

5. The method according to claim 4, characterized in that After obtaining the matching result, the method further includes: Use the rules in the preset rule engine to match the corresponding processing flow according to the problem type and processing priority, and determine the responsible team for problem handling based on the matched processing flow; Visually displaying the matching results, including detailed information on the power reserve project problem and recommended power reserve projects; Obtaining AI monitoring data and review information jointly sent by the responsible team based on the matching results; The matching result and the parameters of the matching algorithm are dynamically adjusted according to the review information.

6. The method according to claim 4, characterized in that After obtaining the matching result, the method further includes: According to the matching results, obtaining the correlation law between the power reserve project problem and the power project demand; According to the association law, simulation technology is used to predict and evaluate the implementation effect of the power reserve project to obtain an evaluation result; According to the evaluation result, the matching result and the parameters of the matching algorithm are dynamically adjusted.

7. The method according to claim 5, characterized in that After determining the responsible team for problem handling, it also includes: Define data access rights specific to the integrated plan at different regional levels; Based on data access permissions, ensure that the responsible team can only access the data of the current problem processing node; Regularly review and update permission settings, and dynamically adjust data access permissions for responsible teams based on changing environmental conditions.

8. A comprehensive management system for power reserve projects, characterized in that: include: A problem creation module, used to create power reserve project problems at the first regional level, the second regional level and the third regional level respectively, wherein the power reserve project problems include power grid operation problems, equipment maintenance problems and planning and development problems; The problem processing module is used to aggregate basic data and construct common scenarios based on the power reserve project problems at each regional level, and to classify and process the power reserve project problems at each regional level; A data access module is used to obtain source reserve related data of power reserve projects based on the classified power reserve project issues at each regional level; The project matching module is used to query the demand library and reserve library of power reserve projects, match the power reserve projects with the power reserve projects based on the classified power reserve project issues at each regional level, and obtain matching results; The problem processing module is further used to return the corresponding power reserve project problem when it is determined based on the matching result that a power reserve project has failed to match; The project overall management module is used to carry out overall management of the power reserve project based on the source reserve associated data of the power reserve project and the matching results.

9. 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 7 are implemented.

10. 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 7 are implemented.

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