Management method of power grid operation maintenance dispatching task

Abstract

The invention discloses a power grid operation maintenance dispatching task management method, and belongs to the field of power grid operation maintenance, and the method comprises the steps: 1, obtaining dispatching demands, which comprise a normal dispatching demand and a temporary dispatching demand; normal dispatching demands and temporary dispatching demands are combined and managed in a unified manner to form a comprehensive dispatching demand pool; step 2, evaluating dispatching demand priorities, including evaluation dimension design and priority algorithm design; step 3, intelligently formulating dispatching tasks, including personnel allocation, historical data utilization and regional influence analysis; and step 4, recording the execution process of the dispatching task, including recording the execution process and intelligently scoring the task. According to the invention, each link of power grid operation maintenance dispatching task management is comprehensively improved, the timeliness and comprehensiveness of information acquisition are realized, and the efficiency and reliability of power grid operation maintenance are improved.

Description

Technical Field

[0001] The present invention relates to the field of power grid operation and maintenance, and in particular to a management method for power grid operation and maintenance work assignment tasks. Background Art

[0002] In the process of power grid operation and maintenance, daily maintenance and fault handling of transmission, substation and distribution equipment are important links to ensure the safe and stable operation of the power grid. The traditional power grid operation and maintenance task management method mainly relies on manual operation, which has many shortcomings and technical problems, such as: 1. When obtaining work dispatch requirements, the operation and maintenance personnel will discover equipment hidden dangers and defects through inspections or regular inspections, formulate maintenance plans, and record power outage and fault information; the operation and maintenance personnel will manually enter these requirements into the system to form work dispatch task requirements. There are problems with untimely and incomplete information acquisition, which easily leads to the omission of important hidden dangers and defects. At the same time, the process of adding temporary requirements is complicated, making it difficult to respond to and handle emergencies in a timely manner.

[0003] 2. When assessing the need for dispatching work, managers evaluate and determine the urgency and execution order of dispatching tasks based on their experience. This process usually relies on human judgment and lacks scientific and objective evaluation criteria, which leads to inaccurate assessment of the priority of dispatching tasks and affects the efficiency and effectiveness of task execution.

[0004] 3. When assigning tasks, managers manually assign executors based on task requirements. Managers formulate task processing plans and measures based on their own professional experience and relevant standards; however, this process is too dependent on the experience and manual operations of managers, lacks systematic support and intelligent analysis, is inefficient, prone to errors, and cannot provide the best task processing plans and measures, affecting the quality and efficiency of task execution.

[0005] 4. When executing the assigned tasks, the executors execute the tasks according to the plan, and manually record the execution process and results after the tasks are completed. The managers check the execution status, evaluate the task results and provide feedback; such records of the task execution process are mainly filled in manually, and the information is incomplete and untimely, making it difficult to form a systematic execution file. The task result evaluation lacks scientific evaluation standards and intelligent analysis methods, and the evaluation results are highly subjective and cannot fully reflect the actual situation of task execution. Summary of the invention

[0006] The purpose of the present invention is to overcome the deficiencies of the prior art, to scientifically and objectively manage the dispatching of power grid operation and maintenance, to improve the efficiency and reliability of power grid operation and maintenance, and to provide a management method for power grid operation and maintenance dispatching tasks.

[0007] The objective of the present invention is achieved through the following technical solutions: A method for managing power grid operation and maintenance work assignment tasks, comprising the following steps: Step 1: Obtaining work dispatching requirements, which include normal work dispatching requirements and temporary work dispatching requirements; forming a comprehensive work dispatching requirement pool by merging and uniformly managing normal work dispatching requirements and temporary work dispatching requirements; Step 2: Evaluate the priority of the work dispatching requirements, including the design of evaluation dimensions and priority algorithm; the evaluation dimensions include the level of urgency, execution time and film group; the priority algorithm sets the weight of each evaluation dimension, assigns different weight values ​​according to the importance of different dimensions, and evaluates the priority of each work dispatching requirement through a weighted calculation formula; Step 3: Intelligently formulate work assignments, including: Step 301, personnel allocation: According to the professional requirements of the work assignment, suitable professionals are intelligently matched from the personnel database, and then the optimal personnel allocation is performed using the optimized linear programming algorithm to ensure that the work assignment task can be completed by the most suitable personnel; Step 302, historical data utilization: according to the current work dispatching requirements, data of similar tasks are extracted from the historical data, intelligent analysis is performed, and processing suggestions are generated; Step 303, regional impact analysis: analyzing the correlation and mutual impact between the equipment in the dispatch area, using graphic visualization technology to generate an impact analysis diagram, thereby providing visual guidance; Step 4: Record the execution process of the dispatched task, including: Step 401, execution process record: record various data during the task execution process; upload the data to the server in real time, and store it persistently through log files and databases; Step 402, intelligent scoring: evaluating the task execution results based on various data of the task execution process.

[0008] Furthermore, the normal dispatch demand is to obtain the information on operation and maintenance dispatch required from various systems of the power grid to form a dispatch demand pool; the temporary dispatch demand is manually input by the operation and maintenance personnel through the user interface or mobile application to ensure timely response and handling of emergencies.

[0009] Furthermore, the information required for operation and maintenance dispatch obtained from each system of the power grid includes hidden dangers, defects, maintenance plans, power outages and failures.

[0010] Furthermore, the level of urgency includes the level of hidden danger, the level of defect and the degree of failure, and the priority score is set according to preset rules and standards; The execution time is based on the planned start and end time of the dispatch demand. The more urgent the task, the greater the priority score set; The impact group refers to the number of residential users, industrial and commercial users, and major customers that will be affected during the execution of the assessment task. The greater the impact value, the greater the priority score.

[0011] Furthermore, the impact value is calculated based on the amount of electricity used in power marketing, and the calculation formula of the impact value is: , Among them, I is the impact value, , , are the weight coefficients of residential users, industrial and commercial users, and large customers, respectively. , , The number of residential users, industrial and commercial users, and large customers, is the electricity consumption of the ith residential user, is the power consumption of the jth industrial and commercial user, is the electricity consumption of the kth large customer.

[0012] Furthermore, the weighted calculation formula is: , Among them, P is the priority score, L is the level and urgency score, T is the execution time score, and I is the impact value. , and are the weights of each dimension respectively.

[0013] Furthermore, the personnel database is composed of experts and members in various professional fields, including information on professionals in dispatching, biotechnology, safety supervision, power transmission, substation, distribution and informatization.

[0014] Furthermore, the various data during the task execution process include task start time, end time, participants, equipment used, task progress, task changes and execution status.

[0015] Furthermore, the specific process of evaluating the task execution result in step 402 is: setting scoring dimensions and setting scoring criteria for each dimension; and scoring and calculating various data of the task execution process according to a scoring formula; the scoring formula is: , Among them, S is the total score, is the score of each rating dimension, and N is the number of rating dimensions.

[0016] Furthermore, the scoring dimensions include whether a work ticket is available, whether pre-shift and post-shift meetings are held, whether the work is completed within the specified time, and whether a closed loop is formed.

[0017] Beneficial effects of the present invention: 1. The present invention adopts automatic acquisition of dispatch demand information. The system automatically collects information such as hidden dangers, defects, maintenance plans, power outages and failures from each subsystem to form a dispatch demand pool. In addition, through the user interface or mobile application, operation and maintenance personnel are allowed to manually input temporary dispatch requirements to ensure the timeliness and comprehensiveness of demand information. It can realize real-time update of dispatch demand information to avoid information lag. Ensure that information such as hidden dangers, defects, maintenance plans, power outages and failures is fully covered to reduce information omissions. Improve the response speed and processing efficiency of emergency situations.

[0018] 2. The present invention designs an intelligent algorithm that comprehensively considers the level of work dispatch demand, urgency, execution time and affected groups, and uses a weighted calculation formula to evaluate the priority of work dispatch demand, avoiding the influence of human subjective judgment. It can achieve scientific evaluation of the priority of work dispatch demand, ensure that tasks are reasonably sorted according to importance and urgency, improve the scheduling efficiency of work dispatch tasks, and ensure that key tasks are handled first. It reduces task execution errors caused by subjective judgment and improves the accuracy of overall task management.

[0019] 3. The present invention intelligently allocates executors according to the work dispatching requirements, uses optimization algorithms to perform optimal personnel configuration, and combines historical data intelligent analysis to generate processing suggestions, and intelligently analyzes and visually guides the degree of influence between equipment in the dispatching area. It can achieve optimal personnel allocation, avoid resource waste, and improve human resource utilization. Through visual guidance, it helps executors better understand the impact of tasks on surrounding equipment and reduce processing risks.

[0020] 4. The present invention automatically records various data during the task execution process through the system to form a systematic execution file, and evaluates the task results through intelligent analysis to ensure the comprehensiveness of the records and the objectivity of the evaluation; it provides scientific and objective task result evaluation, helps identify and improve problems in task execution, and improves the overall operation and maintenance management level.

[0021] 5. The present invention reduces manual operation errors through intelligent dispatch management, and improves the efficiency and reliability of the entire dispatch task management process by combining intelligent evaluation, optimization algorithms and data analysis technology.

[0022] In summary: The present invention comprehensively improves all aspects of power grid operation and maintenance task management through a series of intelligent and automated technical means, realizes timeliness and comprehensiveness of information acquisition, scientificity and objectivity of priority assessment, intelligent and optimized task formulation, automation and systematization of execution process records and other technical effects, significantly improves the efficiency and reliability of power grid operation and maintenance, and has important practical application value and broad application prospects. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the structures shown in these drawings without paying creative work.

[0024] Figure 1 It is a flow chart of the method of the present invention. DETAILED DESCRIPTION

[0025] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0026] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0027] Embodiment 1, as Figure 1 As shown, a method for managing power grid operation and maintenance work assignment tasks includes: Step 1: Obtain work dispatch requirements.

[0028] 1. Acquisition of normal dispatch demand: automatically obtain the information required for operation and maintenance dispatch (including hidden dangers, defects, maintenance plans, power outages, and failures) from various systems of the power grid (such as production management system, safety supervision management system, SCADA system, EMS system, etc.) to form a dispatch demand pool.

[0029] 2. Obtain temporary work dispatch requirements through the user interface or mobile application, and have the operation and maintenance personnel manually enter temporary work dispatch requirements to ensure timely response and handling of emergencies.

[0030] 3. After temporary demands are combined with normal demands, they are managed in a unified manner to form a comprehensive work dispatch demand pool.

[0031] Step 2: Evaluate the priority of work dispatching needs.

[0032] 1. Design of evaluation dimensions, including level of urgency, execution time and film group; Level of urgency: Scoring is performed according to the hidden danger level, defect level, and fault degree according to preset rules and standards. For example, level 1 hidden dangers and serious faults are scored higher; Execution time: Considers the planned start and end time of the dispatch demand, and urgent tasks are rated higher; Shadow Group: The impact range of residential users, industrial and commercial users, and major customers during the execution of the task is evaluated and scored. The greater the impact, the higher the score. The impact value is calculated based on the actual amount of electricity used in power marketing. The calculation formula for the impact value is: , Among them, I is the impact value, , , are the weight coefficients of residential users, industrial and commercial users, and large customers, respectively. , , The number of residential users, industrial and commercial users, and large customers, is the electricity consumption of the ith residential user, is the power consumption of the jth industrial and commercial user, is the electricity consumption of the kth large customer.

[0033] 2. Priority algorithm design. The priority algorithm sets the weight of each evaluation dimension, assigns different weight values ​​according to the importance of different dimensions, and evaluates the priority of each work dispatch requirement through a weighted calculation formula; the weighted calculation formula of priority is: , Among them, P is the priority score, L is the level and urgency score, T is the execution time score, and I is the impact value. , and are the weights of each dimension respectively.

[0034] Step 3: Intelligently formulate work assignments.

[0035] 1. Personnel allocation: According to the professional requirements of the work dispatching needs, suitable professionals are intelligently matched from the personnel database; the personnel database is composed of experts and members in various professional fields, including information on professionals such as dispatching, biotechnology, safety supervision, power transmission, substation, distribution and informatization; then the optimized linear programming algorithm is used to perform optimal personnel allocation to ensure that the dispatching tasks can be completed by the most suitable personnel.

[0036] 2. Utilization of historical data: First, the execution process data of all previous dispatched tasks will be stored in the system, including task type, execution time, executor, processing measures, processing results, etc.; According to the current work dispatching needs, data of similar tasks are extracted from historical data, intelligent analysis is performed, and processing suggestions are generated; the processing suggestions include the best processing flow, possible risk points, preventive measures, etc., to help executors complete tasks more efficiently.

[0037] 3. Regional impact analysis: Analyze the correlation and mutual influence between the equipment in the dispatch area, and use graphic visualization technology to generate an impact analysis diagram to provide visual guidance to help dispatchers better understand the impact of the task on surrounding equipment.

[0038] Step 4: Record the execution process of the dispatched task.

[0039] 1. Execution process records: record various data during the task execution process, including the task start time, end time, participants, equipment used, etc.; and record the task progress, task changes, execution status, etc. during the execution process to form a complete task execution file; Upload data to the server in real time to ensure the timeliness and accuracy of information, and store it persistently through log files and databases; 2. Intelligent scoring: Evaluate the task execution results based on various data during the task execution process.

[0040] Set scoring dimensions, including whether there is a work ticket, whether pre-shift and post-shift meetings are held, whether it is completed within the specified time, and whether a closed loop is formed, and set scoring standards for each dimension; score and calculate various data in the task execution process according to the scoring formula; finally generate a task execution report with scores of excellent, qualified, or unqualified, and keep records.

[0041] The scoring formula is: , Among them, S is the total score, is the score of each rating dimension, and N is the number of rating dimensions.

[0042] Embodiment 2: Specific application of the work dispatch demand priority evaluation algorithm.

[0043] 1. Obtain work dispatch demand information A piece of equipment failure information is obtained from the SCADA system, which records that the failure level is serious, the impact range includes 3 major customers, and the planned execution time is within 24 hours.

[0044] 2. Calculate the level and urgency score Severe failures are rated 9 out of 10.

[0045] Based on the urgency, the planned execution time is within 24 hours and the score is 8 points (out of 10 points).

[0046] 3. Calculate execution time score The task is required to be executed within 24 hours, has high urgency, and the execution time score is 9 points (out of 10 points).

[0047] 4. Calculate the influence group score The fault affected three major customers, with daily electricity consumption exceeding 8,000 kWh, excluding residents and other customers, and was rated 10 points (out of 10).

[0048] 5. Calculate the overall priority score Comprehensive priority score = 0.4 * level score + 0.3 * execution time score + 0.3 * impact group score Combined priority score = 0.4 * 9 + 0.3 * 9 + 0.3 * 10 = 3.6 + 2.7 + 3 = 9.3 6. Output Priority Sorting The overall priority score of the task is 9.3, and the system puts the task at the top of the priority list to ensure that it is assigned and processed as soon as possible.

[0049] Example 3: Specific application of intelligent task assignment 1. Intelligent allocation of executive personnel According to the requirements of the fault task, the system selects one power transmission professional, one technical personnel and one safety inspector from the personnel database, and automatically notifies the relevant personnel to participate in the task execution.

[0050] 2. Use historical data to generate treatment suggestions The system searches for the historical records of similar faults and finds that the use of a certain special device can improve the efficiency of repairs. This suggestion is then provided to the personnel who are currently performing the task.

[0051] 3. Regional impact analysis The system uses visualization tools to display the area where the faulty device is located and analyze the impact of the fault on surrounding devices and users. The generated visualization charts help executives better understand the scope of the fault and the focus of handling.

[0052] It should be noted that, for the above-mentioned various method embodiments, for the sake of simplicity of description, they are all expressed as a series of action combinations, but those skilled in the art should be aware that this application is not limited by the order of the actions described, because according to this application, some steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required by this application.

[0053] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0054] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiments can be implemented by instructing related hardware through a computer program, and the program can be stored in a computer-readable storage medium, and when the program is executed, it can include the processes of the embodiments of the above-mentioned methods. The storage medium can be a disk, an optical disk, a ROM, a RAM, etc.

[0055] The above disclosure is only the preferred embodiment of the present invention, which certainly cannot be used to limit the scope of the present invention. Therefore, equivalent changes made according to the claims of the present invention are still within the scope of the present invention.

Claims

1. A method for managing power grid operation and maintenance tasks, characterized in that: The following steps are involved: Step 1: Obtaining work dispatching requirements, which include normal work dispatching requirements and temporary work dispatching requirements; forming a comprehensive work dispatching requirement pool by merging and uniformly managing normal work dispatching requirements and temporary work dispatching requirements; Step 2: Evaluate the priority of the work dispatching requirements, including the design of evaluation dimensions and priority algorithm; the evaluation dimensions include the level of urgency, execution time and affected groups; the priority algorithm sets the weight of each evaluation dimension, assigns different weight values ​​according to the importance of different dimensions, and evaluates the priority of each work dispatching requirement through a weighted calculation formula; Step 3: Intelligently formulate work assignments, including: Step 301, personnel allocation: According to the professional requirements of the work assignment, suitable professionals are intelligently matched from the personnel database, and then the optimal personnel allocation is performed using the optimized linear programming algorithm to ensure that the work assignment task can be completed by the most suitable personnel; Step 302, historical data utilization: according to the current work dispatching requirements, data of similar tasks are extracted from the historical data, intelligent analysis is performed, and processing suggestions are generated; Step 303, regional impact analysis: analyzing the correlation and mutual impact between the equipment in the dispatch area, using graphic visualization technology to generate an impact analysis diagram, thereby providing visual guidance; Step 4: Record the execution process of the dispatched task, including: Step 401, execution process record: record various data during the task execution process; upload the data to the server in real time, and store it persistently through log files and databases; Step 402, intelligent scoring: evaluating the task execution results based on various data of the task execution process.

2. A method for managing power grid operation and maintenance tasks according to claim 1, characterized in that: The normal dispatch demand is to obtain the information of operation and maintenance dispatch required from various systems of the power grid to form a dispatch demand pool; the temporary dispatch demand is manually input by the operation and maintenance personnel through the user interface or mobile application to ensure timely response and handling of emergencies.

3. A method for managing power grid operation and maintenance tasks according to claim 2, characterized in that: The information required for operation and maintenance dispatch obtained from each system of the power grid includes hidden dangers, defects, maintenance plans, power outages and failures.

4. A method for managing power grid operation and maintenance tasks according to claim 1, characterized in that: The level of urgency includes hidden danger level, defect level and fault level, and priority scores are set according to preset rules and standards; The execution time is based on the planned start and end time of the dispatch demand. The more urgent the task, the greater the priority score set; The impact group refers to the number of residential users, industrial and commercial users, and major customers that will be affected during the execution of the assessment task. The greater the impact value, the greater the priority score.

5. A method for managing power grid operation and maintenance tasks according to claim 4, characterized in that: The impact value is calculated based on the amount of electricity used in power marketing, and the calculation formula of the impact value is: ， Among them, I is the impact value, , , are the weight coefficients of residential users, industrial and commercial users, and large customers, respectively. , , The number of residential users, industrial and commercial users, and large customers, is the electricity consumption of the ith residential user, is the power consumption of the jth industrial and commercial user, is the electricity consumption of the kth large customer.

6. A method for managing power grid operation and maintenance tasks according to claim 1, characterized in that: The weighted calculation formula is: ， Among them, P is the priority score, L is the level and urgency score, T is the execution time score, and I is the impact value. , and are the weights of each dimension respectively.

7. A method for managing power grid operation and maintenance tasks according to claim 1, characterized in that: The personnel database is composed of experts and members in various professional fields, including information on professionals in dispatching, biotechnology, safety supervision, transmission, transformation, distribution and informatization.

8. A method for managing power grid operation and maintenance tasks according to claim 1, characterized in that: The data during the task execution process includes the task start time, end time, participants, equipment used, task progress, task changes and execution status.

9. A method for managing power grid operation and maintenance tasks according to claim 1, characterized in that: The specific process of evaluating the task execution result in step 402 is: setting scoring dimensions and setting scoring criteria for each dimension; and scoring and calculating various data of the task execution process according to a scoring formula; the scoring formula is: ， Among them, S is the total score, is the score of each rating dimension, and N is the number of rating dimensions.

10. A method for managing power grid operation and maintenance tasks according to claim 9, characterized in that: The scoring dimensions include whether there is a work ticket, whether pre-shift and post-shift meetings are held, whether it is completed within the specified time, and whether a closed loop is formed.

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