Algorithm for automatically generating disconnection and reintroduction operation plan on maintenance site of converter station

Abstract

The invention relates to the technical field of operation planning, in particular to an automatic generation algorithm for a converter station maintenance site reintroduction and disconnection operation plan, which comprises the following steps of: mapping physical and functional connection relationships between equipment based on converter station equipment and a regional database, constructing an association graph for displaying the mutual dependency relationship of the equipment, and establishing a database; and obtaining an equipment association graph. According to the invention, by analyzing the connection relationship between the devices and accurately mapping the physical and functional connections between the devices, the accuracy of operation planning is enhanced, the faults and downtime caused by wrong connections are reduced, and by evaluating the importance of the device nodes and analyzing the fault frequency, the reliability of operation planning is improved. Maintenance tasks of key equipment and a high fault area can be preferentially arranged, the maintenance sequence is dynamically adjusted in real time, conflicts caused by resource limitation are avoided, the maintenance progress is smoother, an operator can obtain a clear operation guide on an interactive interface, and accurate execution of field operation and personnel safety are ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of operation planning, and in particular to an automatic generation algorithm for a disconnection and restoration operation plan at a converter station maintenance site. Background Art

[0002] The field of operation planning technology involves the development and application of systems and tools to ensure the effective planning, scheduling and execution of various types of operation activities. In power system and converter station management, the field of operation planning technology pays special attention to the efficient arrangement and management of maintenance tasks, including equipment fault repair, system upgrades, preventive maintenance, etc. Its core is to optimize resource allocation through algorithms, minimize downtime, and ensure the safety of personnel and equipment. Technologies in this field include data analysis, priority judgment, resource allocation, and real-time monitoring systems, aiming to improve the accuracy and efficiency of operation planning through automated tools.

[0003] Among them, the automatic generation algorithm of the disconnection and reconnection operation plan at the converter station maintenance site focuses on automatically generating the disconnection and reconnection point plan for the converter station maintenance operation. The main purpose of the algorithm is to reduce human errors and improve the speed and accuracy of the generation of the operation plan. By automatically adjusting the operation plan, the algorithm can automatically schedule which equipment needs to be disconnected or reconnected, thereby optimizing the entire maintenance process and improving the efficiency and safety of the maintenance work.

[0004] Traditional generation algorithms lack in-depth mapping of the physical and functional dependencies of equipment, resulting in limited accuracy and practicality of job plans. Traditional algorithms rely on static data analysis and preset priority standards, and lack adaptability to real-time changes. In the management of rapidly changing power systems and converter stations, this will lead to improper resource allocation and increase the time and complexity of fault repair. The equipment maintenance plans of traditional algorithms also fail to effectively identify and prioritize equipment or areas with frequent failures, limiting the efficiency of maintenance work, causing unnecessary repeated maintenance and waste of resources, and lacking the ability to dynamically adjust the maintenance sequence, making the job plan slow to respond to emergencies or unplanned events, affecting the execution efficiency of maintenance tasks and increasing operational safety risks. Summary of the invention

[0005] The purpose of the present invention is to solve the shortcomings of the prior art and to propose an automatic generation algorithm for the on-site disconnection and restoration operation plan of a converter station maintenance site.

[0006] In order to achieve the above-mentioned purpose, the present invention adopts the following technical solution: an algorithm for automatically generating a plan for disconnection and restoration operation at a converter station maintenance site, comprising the following steps:

[0007] S1: Based on the converter station equipment and regional database, the physical and functional connection relationships between the equipment are mapped, and a correlation diagram showing the interdependence of the equipment is constructed to obtain a device correlation diagram;

[0008] S2: Based on the device association graph, analyze the device nodes in the graph, calculate the degree centrality and betweenness centrality of the device nodes, evaluate the importance of the device nodes, and obtain device importance information;

[0009] S3: Based on the disconnection and restoration operation records, analyze the fault frequency and maintenance records of the converter station equipment, identify the equipment and areas where faults frequently occur, and obtain a list of key maintenance areas;

[0010] S4: Based on the list of key maintenance areas and the equipment importance information, according to the basic priority corresponding to the target maintenance equipment type and the maintenance urgency of the equipment, the priority of the target maintenance equipment is evaluated, and priority sorting is performed to obtain a priority sorting result;

[0011] S5: Based on the priority sorting result, according to the current operating status of the maintenance equipment and the location of the maintenance personnel, the maintenance order is dynamically adjusted to obtain an adjusted operation order;

[0012] S6: Based on the adjusted operation sequence, the maintenance and repair operation of each disconnection and restoration point is planned, and an operation list of the disconnection and restoration points is prepared, which is displayed through an interactive interface to obtain disconnection and restoration operation plan information.

[0013] As a further solution of the present invention, the equipment association graph includes the equipment's dependent nodes, the type of connecting edges and the geographic location information of each node; the equipment importance information includes the equipment's degree centrality value, the equipment's betweenness centrality value and the equipment's importance level; the maintenance key area list includes the area ID, the list of frequently failing equipment and the failure rate of each area; the priority sorting result includes the equipment's priority score, the equipment's priority ranking and the maintenance time window; the adjusted operation sequence includes the equipment's real-time status, the adjusted maintenance sequence and the adjusted time information; the disconnection and restoration operation plan information includes the operating steps, safety guidelines and operator assignments for each point.

[0014] As a further solution of the present invention, based on the converter station equipment and the regional database, the physical and functional connection relationships between the equipment are mapped to construct an association diagram showing the mutual dependence of the equipment. The steps of obtaining the equipment association diagram are specifically as follows:

[0015] S101: Based on the converter station equipment and regional database, extract the equipment identification number, type, connection relationship and location information, organize the data, and obtain the equipment basic information table;

[0016] S102: Based on the device basic information table, identify the connection relationship between devices, map the physical and functional connections between devices, construct a direct connection path and an indirect connection path of each device node, and obtain a device connection map;

[0017] S103: Based on the device connection mapping, the dependency relationship between devices is visualized according to the connection strength and type, and the connection edges between device nodes are constructed to obtain a device association graph.

[0018] As a further solution of the present invention, based on the device association graph, the device nodes in the graph are analyzed, the degree centrality and betweenness centrality of the device nodes are calculated, the importance of the device nodes is evaluated, and the steps of obtaining the device importance information are specifically as follows:

[0019] S201: Based on the device association graph, check the device nodes in the graph, count the number of direct connections of each device node, calculate the degree centrality of each node, and obtain the node degree centrality analysis result;

[0020] S202: Based on the node degree centrality analysis result, each device node is analyzed to analyze the bridging role of the device node in the device network, and the betweenness centrality of the device node is calculated to obtain the node betweenness centrality analysis result;

[0021] S203: Based on the node degree centrality analysis results and the node betweenness centrality analysis results, a weighted combination algorithm is used to evaluate the importance score of each device node in the device network to obtain device importance information.

[0022] As a further solution of the present invention, the weighted combination algorithm is according to the formula:

[0023]

[0024] Calculate the importance score of the device node, where C i Score the importance of node i, D i is the degree centrality score of node i, B i is the betweenness centrality score of node i, CN i is the clustering coefficient of node i, α is the exponential coefficient, w d is the weight coefficient of degree centrality, w b is the weight coefficient of betweenness centrality, w c is the weight coefficient of the clustering coefficient.

[0025] As a further solution of the present invention, based on the disconnection and restoration operation records, the fault frequency and maintenance records of the converter station equipment are analyzed, the equipment and areas where faults frequently occur are identified, and the steps of obtaining a list of key maintenance areas are specifically as follows:

[0026] S301: Based on the interruption and restoration operation records, the operation records are screened to extract the equipment fault records, including the time and frequency of the fault occurrence, and the number of faults of each equipment and the date of the fault occurrence are counted to obtain the equipment fault record information;

[0027] S302: Based on the equipment fault record information, analyze the maintenance activities after each fault, record the time interval between the fault occurrence and the maintenance completion, summarize the average maintenance response time of each equipment, and obtain equipment maintenance response information;

[0028] S303: Based on the equipment maintenance response information, identify the equipment whose failure frequency and maintenance response time are higher than a preset threshold, mark the area where the equipment is located, and obtain a list of key maintenance areas.

[0029] As a further solution of the present invention, based on the maintenance key area list and the equipment importance information, according to the basic priority corresponding to the target maintenance equipment type, combined with the maintenance urgency of the equipment, the priority of the target maintenance equipment is evaluated and the priority is sorted. The steps of obtaining the priority sorting result are specifically as follows:

[0030] S401: Based on the maintenance key area list and the equipment importance information, the type of each target maintenance equipment is collected, the basic priority corresponding to the equipment type is queried, and the equipment basic priority mapping information is obtained;

[0031] S402: Based on the basic priority mapping information of the equipment, combined with the fault data of the key maintenance area where the equipment is located, including the fault frequency and the maintenance response time, the maintenance urgency of each equipment is evaluated to obtain the equipment urgency evaluation result;

[0032] S403: Based on the equipment urgency assessment result and the equipment basic priority mapping information, combined with the importance of the equipment, a weighted scoring method is used to perform a priority score for each device, and according to the scoring result, the target maintenance equipment is prioritized to obtain a priority ranking result.

[0033] As a further solution of the present invention, the weighted scoring method is according to the formula:

[0034]

[0035] Calculate the priority score of the device, where P i Score the priority of device i, U i Score the urgency of device i, P base,i is the basic priority of device i, C i Score the importance of device i, w u 、w p and w cis the weight coefficient.

[0036] As a further solution of the present invention, based on the priority sorting result, according to the current operating status of the maintenance equipment and the location of the maintenance personnel, the maintenance order is dynamically adjusted to obtain the adjusted operation order in the following steps:

[0037] S501: Based on the priority sorting result, detect the current operating status of each maintenance equipment, determine whether the equipment can be disconnected in time, and obtain equipment status evaluation information;

[0038] S502: Based on the equipment status evaluation information and in combination with the current geographical location information of the maintenance personnel, the maintenance route is adjusted, the required maintenance time is evaluated, and resource conflicts and time overlaps in the maintenance process are analyzed and identified to obtain maintenance path and conflict information;

[0039] S503: Based on the maintenance path and conflict information, the maintenance sequence is adjusted to avoid resource conflicts and time overlaps, and the operation plan is updated to obtain an adjusted operation sequence.

[0040] As a further solution of the present invention, based on the adjusted operation sequence, the maintenance and repair operation of each disconnection and restoration point is planned, and a disconnection and restoration point operation list is formulated and displayed through an interactive interface. The specific steps of obtaining the disconnection and restoration operation plan information are as follows:

[0041] S601: Based on the adjusted operation sequence, collect the equipment ID, location and estimated operation time of each maintenance point to obtain point maintenance related information;

[0042] S602: Based on the point maintenance associated information, identify the associated equipment of each maintenance point, plan the maintenance operation sequence of each point and the disconnection steps of the associated equipment, collect safety precautions in the operation, design the point operation process, and obtain the maintenance operation process and safety guide information;

[0043] S603: Based on the maintenance operation process and safety guide information, information is displayed through an interactive interface to guide operators to perform the disconnection and restoration operation and obtain disconnection and restoration operation plan information.

[0044] Compared with the prior art, the advantages and positive effects of the present invention are:

[0045] In the present invention, by analyzing the connection relationship between devices, an association diagram showing the dependency relationship between devices can be drawn, and the physical and functional connections between devices can be accurately mapped, thereby enhancing the accuracy of job planning, optimizing the allocation and deployment of resources, and reducing failures and downtime caused by incorrect connections. By evaluating the importance of device nodes and analyzing the failure frequency, maintenance tasks for key equipment and high-failure areas can be prioritized, ensuring the stability and security of the system, and dynamically adjusting the maintenance sequence in real time to avoid conflicts caused by resource limitations, making the maintenance progress smoother and effectively reducing the total maintenance time. Operators can obtain clear operating instructions on the interactive interface, ensuring the accurate execution of on-site operations and personnel safety. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1 It is a schematic diagram of the main steps of the present invention;

[0047] Figure 2 It is a schematic diagram of the refinement of S1 of the present invention;

[0048] Figure 3 It is a schematic diagram of the refinement of S2 of the present invention;

[0049] Figure 4 It is a schematic diagram of the refinement of S3 of the present invention;

[0050] Figure 5 It is a schematic diagram of the refinement of S4 of the present invention;

[0051] Figure 6 It is a detailed schematic diagram of S5 of the present invention;

[0052] Figure 7 It is a detailed schematic diagram of S6 of the present invention. DETAILED DESCRIPTION

[0053] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention 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 invention and are not intended to limit the present invention.

[0054] In the description of the present invention, it should be understood that the terms "length", "width", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside" and the like indicate positions or positional relationships based on the positions or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, in the description of the present invention, "multiple" means two or more, unless otherwise clearly and specifically defined.

[0055] See also Figure 1 The present invention provides a technical solution: an algorithm for automatically generating a plan for breaking and restoring a converter station maintenance site, comprising the following steps:

[0056] S1: Based on the converter station equipment and regional database, the identification number, type, connection relationship and location information of each device are extracted, the physical and functional connection relationships between the devices are mapped, and an association diagram showing the interdependence of the devices is constructed to obtain the device association diagram;

[0057] S2: Based on the device association graph, analyze the device nodes in the graph, calculate the degree centrality and betweenness centrality of the device nodes, evaluate the importance of the device nodes, and obtain the device importance information;

[0058] S3: Based on the disconnection and restoration operation records, analyze the fault frequency and maintenance records of the converter station equipment, identify the equipment and areas where faults frequently occur, and obtain a list of key maintenance areas;

[0059] S4: Based on the list of key maintenance areas and the equipment importance information, according to the basic priority corresponding to the target maintenance equipment type and the maintenance urgency of the equipment, the priority of the target maintenance equipment is evaluated, and priority sorting is performed to obtain the priority sorting result;

[0060] S5: Based on the priority sorting results, according to the current operating status of the maintenance equipment and the location of the maintenance personnel, the maintenance order is dynamically adjusted to avoid conflicts and time overlaps caused by resource limitations, and the operation plan is updated to obtain the adjusted operation order;

[0061] S6: Based on the adjusted operation sequence, plan the maintenance and repair operations of each disconnection and restoration point, including equipment ID, equipment location, equipment operation sequence, safety precautions and related equipment that need to be disconnected during the maintenance process, formulate an operation list of the disconnection and restoration points, display it through an interactive interface, guide operators to perform disconnection and restoration operations, and obtain disconnection and restoration operation plan information.

[0062] The equipment association graph includes the equipment's dependent nodes, the type of connecting edges, and the geographic location information of each node. The equipment importance information includes the equipment's degree centrality value, the equipment's betweenness centrality value, and the equipment's importance level. The list of key maintenance areas includes the area ID, the list of frequently failing equipment, and the failure rate of each area. The priority sorting results include the equipment's priority score, the equipment's priority ranking, and the maintenance time window. The adjusted operation sequence includes the equipment's real-time status, the adjusted maintenance sequence, and the adjusted time information. The disconnection and restoration operation plan information includes the operating steps, safety guidelines, and operator assignments for each point.

[0063] See also Figure 2 , based on the converter station equipment and regional database, extract the identification number, type, connection relationship and location information of each device, map the physical and functional connection relationships between devices, and construct an association diagram showing the interdependence of devices. The specific steps for obtaining the device association diagram are:

[0064] S101: Based on the converter station equipment and regional database, extract the equipment identification number, type, connection relationship and location information, sort the data, and obtain the equipment basic information table. The specific process is as follows;

[0065] In sub-step S101, based on the converter station equipment and regional database, the equipment identification number, type, connection relationship and location information are extracted, the data is sorted, and the data cleaning and verification formula is used to integrate the data and eliminate errors. The formula is: Among them, D iA represents the data integrity score of the i-th device, V ijA is the jth verification indicator of the i-th device, C jA is the weight coefficient of the jth indicator, and nA is the total number of verification indicators. The formula is used to evaluate and ensure the integrity and accuracy of device data. The data integrity of each device is scored by weighted summation. A high score indicates high data reliability, and the basic information table of the device is obtained.

[0066] S102: Based on the device basic information table, identify the connection relationship between devices, map the physical and functional connections between devices, and construct a direct connection path and an indirect connection path for each device node. The specific process of obtaining the device connection mapping is as follows;

[0067] In sub-step S102, based on the device basic information table, the connection relationship between devices is identified, the physical and functional connections between devices are mapped, the direct connection path and indirect connection path of each device node are constructed, and the device path is generated using the path construction formula. The formula is: Among them, P ikA represents the shortest path from device i to device k, P ijA and P jkA represent the known paths from device i to device j and from device j to device k, respectively. A is a possible set of intermediary devices. The formula is used to calculate and update the shortest path between devices to ensure the efficiency and accuracy of device connection. The device connection mapping is obtained.

[0068] S103: Based on the device connection mapping, the dependency relationship between devices is visualized according to the connection strength and type, and the connection edges between the device nodes are constructed to obtain the device association graph. The specific process is as follows;

[0069] In sub-step S103, based on the device connection mapping, the dependency relationship between devices is visualized according to the connection strength and type, the connection edges between device nodes are constructed, and the connection strength calculation formula is used to evaluate the relationship strength between devices. The formula is: ijA =α A ·F ijA +(1-α A )·D ijA , where S ijA is the connection strength between device i and device j, F ijA Indicates the functional dependence between two devices, D ijA represents the physical connection density between two devices, α A It is an adjustment parameter used to balance the influence of function and physical connection. This formula considers the influence of functional dependence and physical connection through linear combination, making the calculation of connection strength more accurate and in line with the actual situation, and obtaining the device association diagram.

[0070] See also Figure 3 ,Based on the device association graph, analyze the device nodes in the graph, calculate the degree centrality and betweenness centrality of the device nodes, evaluate the importance of the device nodes, and obtain the device importance information in the following steps:

[0071] S201: Based on the device association graph, check the device nodes in the graph, count the number of direct connections of each device node, calculate the degree centrality of each node, and obtain the node degree centrality analysis result. The specific process is as follows;

[0072] In sub-step S201, based on the device association graph, the device nodes in the graph are checked, the number of direct connections of each device node is counted, the degree centrality of each node is calculated, and the centrality of the device node is evaluated using the degree centrality calculation formula. The formula is: Among them, D i represents the degree centrality of device node i, k iB is the number of direct connections of node i, N B = The total number of nodes in the graph minus one. The formula is used to quantify the influence of each node in its network. The calculation method is to calculate the proportion of the number of direct connections of the node to the total connection possibilities to obtain the node degree centrality analysis result.

[0073] S202: Based on the node degree centrality analysis result, each device node is analyzed to analyze the bridging role of the device node in the device network, and the betweenness centrality of the device node is calculated. The specific process of obtaining the node betweenness centrality analysis result is as follows;

[0074] In sub-step S202, based on the node degree centrality analysis results, each device node is analyzed to analyze the bridging role of the device node in the device network, and the betweenness centrality of the device node is calculated. The betweenness centrality calculation formula is: Among them, B i is the betweenness centrality of node i, σ jkB is the number of shortest paths from node j to node k, σ jkB (iB) is the number of these shortest paths passing through node i. The formula evaluates the importance or bridging role of a node in connecting the paths between other node pairs, and obtains the node betweenness centrality analysis results.

[0075] S203: Based on the node degree centrality analysis results and the node betweenness centrality analysis results, a weighted combination algorithm is used to evaluate the importance score of each device node in the device network, and the process of obtaining the device importance information is as follows;

[0076] In sub-step S203, based on the node degree centrality analysis results and the node betweenness centrality analysis results, a weighted combination algorithm is used to evaluate the importance score of each device node in the device network, and the overall importance of the node is evaluated by adjusting the weights of the degree centrality and betweenness centrality to obtain the device importance information.

[0077] Weighted combination algorithm, according to the formula:

[0078]

[0079] Calculate the importance score of the device node, where C i Score the importance of node i, indicating the overall importance of the node in the network, D i is the degree centrality score of node i, indicating the number of other nodes directly connected to the node, B i is the betweenness centrality score of node i, indicating the bridging role of the node in the network, CN i is the clustering coefficient of node i, which indicates the degree to which the neighboring nodes directly connected to the node are also connected to each other. α is an exponential coefficient used to adjust the influence of degree centrality and emphasize the importance of high-connectivity nodes. d is the weight coefficient of degree centrality, which determines the influence of degree centrality in the calculation of comprehensive centrality, w b is the weight coefficient of betweenness centrality, which determines the influence of betweenness centrality in the calculation of comprehensive centrality, w c is the weight coefficient of the clustering coefficient, which determines the influence of the clustering coefficient in the calculation of comprehensive centrality.

[0080] The specific execution process of the formula is as follows:

[0081] The degree centrality D of node ii It is determined by the number of directly connected nodes, and the index α is introduced to emphasize the importance of high-connectivity nodes. i By calculating the bridging effect of node i in the network, the square root function is used to reduce the influence of high values, and the clustering coefficient CN i Represents the close connection degree of node i, and is processed by logarithmic function to reduce the influence of extreme values. The weight w d 、w b and w c Determined by data-driven methods such as regression analysis or machine learning models to ensure balanced treatment of different network characteristics, C is calculated i , which is the importance score of node i.

[0082] See also Figure 4 Based on the disconnection and restoration operation records, analyze the fault frequency and maintenance records of the converter station equipment, identify the equipment and areas where faults frequently occur, and obtain the list of key maintenance areas. The specific steps are as follows:

[0083] S301: Based on the interruption and restoration operation records, the operation records are screened to extract the equipment fault records, including the time and frequency of the fault occurrence, and the number of faults of each device and the date of the fault occurrence are counted. The specific process of obtaining the equipment fault record information is as follows;

[0084] In sub-step S301, based on the disconnection and restoration operation records, the operation records are screened to extract the equipment fault records, including the time and frequency of the fault occurrence, and the number of faults and the date of the fault occurrence of each device are counted, and the data is processed using the fault count statistics formula. The formula is: Among them, F iC represents the total number of failures of device i, x itC is the indicator variable of whether device i fails at time t, T C The total time range of the investigation. The formula accumulates the occurrence of faults at each time point to obtain the total number of faults for each device, thereby making a detailed fault record of the device and obtaining the device fault record information.

[0085] S302: Based on the equipment failure record information, analyze the maintenance activities after each failure, record the time interval between the failure occurrence and the maintenance completion, summarize the average maintenance response time of each equipment, and obtain the equipment maintenance response information.

[0086] In sub-step S302, based on the equipment fault record information, the maintenance activities after each fault are analyzed, the time interval between the fault occurrence and the maintenance completion is recorded, and the average maintenance response time of each device is summarized. The average maintenance response time is calculated as follows: Among them, RiC is the average maintenance response time of device i, d ijC is the maintenance response time of the jth fault, nC is the total number of faults of device i, and the formula is obtained by summing up the response time of all faults and dividing it by the number of faults to obtain the average maintenance response time of each device and the device maintenance response information.

[0087] S303: Based on the equipment maintenance response information, identify the equipment whose failure frequency and maintenance response time are higher than the preset threshold, and mark the area where the equipment is located, and obtain the maintenance key area list. The specific process is as follows;

[0088] In sub-step S303, based on the equipment maintenance response information, identify the equipment whose failure frequency and maintenance response time are higher than the preset threshold, and mark the area where the equipment is located to obtain a list of key maintenance areas. The equipment key focus index calculation formula is: iC =θ FC ·F iC +θ RC ·R iC , where Z iC is the focus index of device i, F iC is the fault frequency, R iC is the average maintenance response time, θ FC and θ RC are the weight coefficients of fault frequency and response time respectively. The formula combines the weights of fault frequency and response time to evaluate the maintenance urgency of the equipment. When the focus index of the equipment exceeds the preset threshold, the area where the equipment is located is listed as a key maintenance area, and a list of key maintenance areas is obtained.

[0089] See also Figure 5 Based on the list of key maintenance areas and the importance of equipment, according to the basic priority corresponding to the target maintenance equipment type and the maintenance urgency of the equipment, the priority of the target maintenance equipment is evaluated and prioritized. The specific steps to obtain the priority sorting results are as follows:

[0090] S401: Based on the list of key maintenance areas and the equipment importance information, the type of each target maintenance equipment is collected, and the basic priority corresponding to the equipment type is queried to obtain the equipment basic priority mapping information. Specifically, the process is as follows;

[0091] In sub-step S401, based on the list of key maintenance areas and the equipment importance information, the type of each target maintenance equipment is collected, and the basic priority corresponding to the equipment type is queried. The formula for obtaining the basic priority of the equipment is: base,i =B tD , where P base,i Indicates the basic priority of device i, B tDis the basic priority corresponding to device type t. The fixed priority of each device type is determined by querying the device type mapping table to obtain the device basic priority mapping information.

[0092] S402: Based on the basic priority mapping information of the equipment, combined with the fault data of the key maintenance area where the equipment is located, including the fault frequency and maintenance response time, the maintenance urgency of each equipment is evaluated, and the process of obtaining the equipment urgency evaluation result is specifically as follows;

[0093] In sub-step S402, based on the basic priority mapping information of the equipment, combined with the fault data of the key maintenance area where the equipment is located, including fault frequency and maintenance response time, the maintenance urgency of each equipment is evaluated. The formula for equipment urgency evaluation is: i =γ FD ·F iD +γ RD ·R iD , where U i represents the urgency score of device i, F iD is the fault frequency, R iD is the average maintenance response time, γ FD and γ RD are the weight coefficients of fault frequency and response time respectively. The formula comprehensively considers the impact of fault frequency and response time on maintenance urgency and obtains the equipment urgency assessment result.

[0094] S403: Based on the equipment urgency assessment results and the equipment basic priority mapping information, combined with the importance of the equipment, a weighted scoring method is used to perform a priority score on each equipment, and the target maintenance equipment is prioritized according to the scoring results. The specific process of obtaining the priority ranking result is as follows;

[0095] In sub-step S403, based on the equipment urgency assessment results and the equipment basic priority mapping information, combined with the importance of the equipment, a weighted scoring method is used to perform a priority score on each device. According to the scoring results, the target maintenance equipment is prioritized. By weightedly combining the scores, a comprehensive priority ranking is formed to ensure the efficiency and effectiveness of the maintenance work and obtain the priority ranking result.

[0096] Weighted scoring method, according to the formula:

[0097]

[0098] Calculate the priority score of the device, where P i is the priority score of device i, indicating the priority order of the device in the maintenance process, U i Score the urgency of equipment i, measuring the severity of equipment failure and the urgency of maintenance, P base,iis the basic priority of device i, which is set based on the priority of the device type. i Score the importance of device i, indicating the importance of the device in the network, w u 、w p and w c It is the weight coefficient, which determines the influence of each indicator in the total score.

[0099] The specific execution process of the formula is as follows:

[0100] Get the urgency evaluation result U of each device i i , and take its natural logarithm to smooth the impact of extreme fault data, and the basic priority P base,i Taking the square root reduces the excessive impact of high-priority devices on the overall ranking and the importance score C i Apply the sigmoid function and take the absolute value to normalize the importance score between 0 and 1, and combine the value with the weight w u 、w p and w c A weighted average is performed, and the weights are determined by an optimization algorithm such as the gradient descent method to ensure that the calculated priority score reflects the actual operation and maintenance needs of the equipment to the greatest extent.

[0101] See also Figure 6 ,Based on the priority sorting results, according to the current operating status of the maintenance equipment, combined with the location of the maintenance personnel, the maintenance order is dynamically adjusted to avoid conflicts and time overlaps caused by resource limitations, and the operation plan is updated. The specific steps to obtain the adjusted operation order are as follows:

[0102] S501: Based on the priority sorting result, the current operating status of each maintenance equipment is detected to determine whether the equipment can be disconnected in time, and the specific process of obtaining equipment status evaluation information is as follows;

[0103] In sub-step S501, based on the priority sorting result, the current operating status of each maintenance equipment is detected to determine whether the equipment can be disconnected in time, and the equipment status evaluation information is obtained. By comparing the current load of the equipment with the load threshold for safe disconnection, it is determined whether the equipment meets the conditions for timely disconnection, and the equipment status evaluation information is obtained.

[0104] S502: Based on the equipment status evaluation information and the current geographical location information of the maintenance personnel, the maintenance route is adjusted, the required maintenance time is evaluated, and the resource conflicts and time overlaps in the maintenance process are analyzed and identified to obtain the maintenance route and conflict information.

[0105] In sub-step S502, based on the equipment status evaluation information and the current geographical location information of the maintenance personnel, the maintenance route is adjusted, the required maintenance time is evaluated, and the resource conflicts and time overlaps in the maintenance process are analyzed and identified. The maintenance time and path conflict analysis formula is: Among them, T iE is the total maintenance time of equipment i, D ijE is the distance from the maintenance personnel to the equipment i, V E is the moving speed of personnel, C ijE is the potential conflict time between maintenance points i and j. The formula provides a comprehensive time assessment by accumulating the time required for each section of the journey and any potential conflict time, helping to identify and resolve conflicts in resource allocation and obtain maintenance paths and conflict information.

[0106] S503: Based on the maintenance path and conflict information, the maintenance sequence is adjusted to avoid resource conflicts and time overlaps, and the operation plan is updated to obtain the adjusted operation sequence.

[0107] In sub-step S503, based on the maintenance path and conflict information, the maintenance sequence is adjusted to avoid resource conflicts and time overlaps, and the operation plan is updated. The maintenance sequence optimization formula is: Among them, O iE is the optimal maintenance sequence index of equipment i, T jE is the sum of the maintenance time of all equipment including equipment j. The formula determines the optimal maintenance sequence by minimizing the sum of the maintenance time of all equipment, ensuring that the efficiency of the operation plan is maximized and the conflict is minimized, and the adjusted operation sequence is obtained.

[0108] See also Figure 7 Based on the adjusted operation sequence, the maintenance and repair operations of each disconnection and restoration point are planned, including the equipment ID, equipment location, equipment operation sequence, safety precautions, and associated equipment that need to be disconnected during the maintenance process. A disconnection and restoration point operation list is formulated and displayed through an interactive interface to guide operators to perform disconnection and restoration operations. The specific steps for obtaining disconnection and restoration operation plan information are as follows:

[0109] S601: Based on the adjusted operation sequence, the equipment ID, location and estimated operation time of each maintenance point are collected to obtain the point maintenance related information. Specifically, the process is as follows;

[0110] In sub-step S601, based on the adjusted operation sequence, the equipment ID, location and estimated operation time of each maintenance point are collected, and the aggregation formula of the point maintenance association information is:

[0111] M iF =concat(ID iF ,L iF,T iF ) Among them, M iF Indicates the maintenance related information of maintenance point i, ID iF is the device ID, L iF is the position, T iF To estimate the operation time, the formula concatenates the device ID, location, and estimated operation time through a concatenation operation to form a comprehensive point information representation, which is convenient for subsequent operations and references, and obtains point maintenance related information.

[0112] S602: Based on the point maintenance associated information, identify the associated equipment of each maintenance point, plan the maintenance operation sequence of each point and the disconnection steps of the associated equipment, collect safety precautions in the operation, design the point operation process, and obtain the maintenance operation process and safety guide information.

[0113] In sub-step S602, based on the point maintenance association information, the associated equipment of each maintenance point is identified, the maintenance operation sequence of each point and the disconnection steps of the associated equipment are planned, and the safety precautions in the operation are collected to design the point operation process. The point operation planning formula is: Among them, P iF represents the operation process score of maintenance point i, s ikF is the safety level of operation k at point i, r kF is the relative importance of operation k. The formula generates a quantitative operation process score by weighted summing the safety level and importance of each operation to optimize and ensure the safety and effectiveness of maintenance work and obtain maintenance operation process and safety guide information.

[0114] S603: Based on the maintenance operation process and safety guide information, information is displayed through an interactive interface to guide the operator to perform the disconnection and restoration operation, and the specific process of obtaining the disconnection and restoration operation plan information is as follows;

[0115] In sub-step S603, based on the maintenance operation process and safety guide information, information is displayed through the interactive interface to guide the operator to perform the disconnection and restoration operation. The operation plan optimization formula is: iF =α F ×P iF +β F ×D iF , where J iF is the optimization score of the operation plan at point i, P iF is the operation process score of point i, D iF is the difference between the expected operation time and the actual operation time of point i, α F and β Fis the weight factor. The formula calculates the operation optimization score of each maintenance point by considering the efficiency and time difference of the operation process, aiming to improve the operation efficiency and accuracy and obtain the interruption and restoration operation plan information.

[0116] The above are only preferred embodiments of the present invention and are not intended to limit the present invention in other forms. Any technician familiar with the profession may use the technical contents disclosed above to change or modify them into equivalent embodiments with equivalent changes and apply them to other fields. However, any simple modification, equivalent change and modification made to the above embodiments based on the technical essence of the present invention without departing from the technical solution of the present invention still falls within the protection scope of the technical solution of the present invention.

Claims

1. An algorithm for automatically generating a plan for disconnection and restoration operations at a converter station maintenance site, characterized in that: The following steps are involved: Based on the converter station equipment and regional database, the physical and functional connection relationships between the equipment are mapped, and a correlation diagram showing the interdependence of the equipment is constructed to obtain the equipment correlation diagram; Based on the device association graph, the device nodes in the graph are analyzed, the degree centrality and betweenness centrality of the device nodes are calculated, the importance of the device nodes is evaluated, and the device importance information is obtained; Based on the records of disconnection and restoration operations, analyze the fault frequency and maintenance records of converter station equipment, identify equipment and areas with frequent faults, and obtain a list of key maintenance areas; Based on the maintenance key area list and the equipment importance information, according to the basic priority corresponding to the target maintenance equipment type and the maintenance urgency of the equipment, the priority of the target maintenance equipment is evaluated, and priority sorting is performed to obtain a priority sorting result; Based on the priority sorting result, according to the current operating status of the maintenance equipment and the location of the maintenance personnel, the maintenance order is dynamically adjusted to obtain an adjusted operation order; Based on the adjusted operation sequence, the maintenance and repair operations of each disconnection and restoration point are planned, and an operation list of the disconnection and restoration points is prepared and displayed through an interactive interface to obtain disconnection and restoration operation plan information.

2. The automatic generation algorithm of the on-site disconnection and restoration operation plan for converter station maintenance according to claim 1 is characterized in that: The equipment association graph includes the equipment's dependent nodes, the type of connecting edges and the geographic location information of each node; the equipment importance information includes the equipment's degree centrality value, the equipment's betweenness centrality value and the equipment's importance level; the maintenance key area list includes the area ID, the list of frequently failing equipment and the failure rate of each area; the priority sorting result includes the equipment's priority score, the equipment's priority ranking and the maintenance time window; the adjusted operation sequence includes the equipment's real-time status, the adjusted maintenance sequence and the adjusted time information; the disconnection and restoration operation plan information includes the operating steps, safety guidelines and operator assignments for each point.

3. The automatic generation algorithm of the on-site disconnection and restoration operation plan for converter station maintenance according to claim 1 is characterized in that: Based on the converter station equipment and regional database, the physical and functional connection relationships between the equipment are mapped to construct an association diagram showing the interdependence of the equipment. The specific steps for obtaining the equipment association diagram are as follows: Based on the converter station equipment and regional database, the equipment identification number, type, connection relationship and location information are extracted, and the data is sorted to obtain the equipment basic information table; Based on the device basic information table, identify the connection relationship between devices, map the physical and functional connections between devices, construct the direct connection path and indirect connection path of each device node, and obtain the device connection mapping; Based on the device connection mapping, the dependency relationship between devices is visualized according to the connection strength and type, and the connection edges between device nodes are constructed to obtain a device association graph.

4. The automatic generation algorithm of the on-site disconnection and restoration operation plan for converter station maintenance according to claim 1 is characterized in that: Based on the device association graph, the device nodes in the graph are analyzed, the degree centrality and betweenness centrality of the device nodes are calculated, the importance of the device nodes is evaluated, and the steps of obtaining the device importance information are specifically as follows: Based on the device association graph, check the device nodes in the graph, count the number of direct connections of each device node, calculate the degree centrality of each node, and obtain the node degree centrality analysis result; Based on the node degree centrality analysis result, each device node is analyzed, the bridging role of the device node in the device network is analyzed, the betweenness centrality of the device node is calculated, and the node betweenness centrality analysis result is obtained; Based on the node degree centrality analysis results and the node betweenness centrality analysis results, a weighted combination algorithm is used to evaluate the importance score of each device node in the device network to obtain device importance information.

5. The automatic generation algorithm of the on-site disconnection and restoration operation plan for converter station maintenance according to claim 4 is characterized in that: The weighted combination algorithm is based on the formula: Calculate the importance score of the device node, where C i Score the importance of node i, D i is the degree centrality score of node i, B i is the betweenness centrality score of node i, CN i is the clustering coefficient of node i, α is the exponential coefficient, w d is the weight coefficient of degree centrality, w b is the weight coefficient of betweenness centrality, w c is the weight coefficient of the clustering coefficient.

6. The automatic generation algorithm of the on-site disconnection and restoration operation plan for converter station maintenance according to claim 1 is characterized in that: Based on the disconnection and restoration operation records, analyze the fault frequency and maintenance records of the converter station equipment, identify the equipment and areas where faults frequently occur, and obtain the list of key maintenance areas as follows: Based on the interruption and restoration operation records, the operation records are screened to extract the equipment fault records, including the time and frequency of the faults, and the number of faults and the date of the faults of each device are counted to obtain the equipment fault record information; Based on the equipment failure record information, analyze the maintenance activities after each failure, record the time interval between the failure occurrence and the maintenance completion, summarize the average maintenance response time of each equipment, and obtain equipment maintenance response information; Based on the equipment maintenance response information, devices whose failure frequency and maintenance response time are higher than preset thresholds are identified, and the areas where the devices are located are marked to obtain a list of key maintenance areas.

7. The automatic generation algorithm of the on-site disconnection and restoration operation plan for converter station maintenance according to claim 1 is characterized in that: Based on the maintenance key area list and the equipment importance information, according to the basic priority corresponding to the target maintenance equipment type and the maintenance urgency of the equipment, the priority of the target maintenance equipment is evaluated and prioritized. The steps for obtaining the priority sorting result are as follows: Based on the maintenance key area list and equipment importance information, the type of each target maintenance equipment is collected, the basic priority corresponding to the equipment type is queried, and the equipment basic priority mapping information is obtained; Based on the basic priority mapping information of the equipment, combined with the fault data of the key maintenance area where the equipment is located, including the fault frequency and maintenance response time, the maintenance urgency of each equipment is evaluated to obtain the equipment urgency evaluation result; Based on the equipment urgency assessment results and equipment basic priority mapping information, combined with the importance of the equipment, a weighted scoring method is used to perform a priority score on each device, and according to the scoring results, the target maintenance equipment is prioritized to obtain a priority ranking result.

8. The automatic generation algorithm of the on-site disconnection and restoration operation plan for converter station maintenance according to claim 7 is characterized in that: The weighted scoring method is based on the formula: Calculate the priority score of the device, where P i Score the priority of device i, U i Score the urgency of device i, P base,i is the basic priority of device i, C i Score the importance of device i, w u 、w p and w c is the weight coefficient.

9. The automatic generation algorithm of the on-site disconnection and restoration operation plan for converter station maintenance according to claim 1 is characterized in that: Based on the priority sorting result, according to the current operating status of the maintenance equipment and the location of the maintenance personnel, the maintenance sequence is dynamically adjusted to obtain the adjusted operation sequence as follows: Based on the priority sorting result, the current operating status of each maintenance equipment is detected to determine whether the equipment can be disconnected in time, and the equipment status evaluation information is obtained; Based on the equipment status assessment information, combined with the current geographical location information of the maintenance personnel, the maintenance route is adjusted, the required maintenance time is evaluated, and the resource conflicts and time overlaps in the maintenance process are analyzed and identified to obtain the maintenance path and conflict information; Based on the maintenance path and conflict information, the maintenance sequence is adjusted to avoid resource conflicts and time overlaps, and the operation plan is updated to obtain an adjusted operation sequence.

10. The automatic generation algorithm of the on-site disconnection and restoration operation plan for converter station maintenance according to claim 1 is characterized in that: Based on the adjusted operation sequence, the maintenance and repair operation of each disconnection and restoration point is planned, and a disconnection and restoration point operation list is formulated and displayed through an interactive interface. The specific steps of obtaining the disconnection and restoration operation plan information are as follows: Based on the adjusted operation sequence, the equipment ID, location and estimated operation time of each maintenance point are collected to obtain point maintenance related information; Based on the point maintenance associated information, identify the associated equipment of each maintenance point, plan the maintenance operation sequence of each point and the disconnection steps of the associated equipment, collect safety precautions in the operation, design the point operation process, and obtain the maintenance operation process and safety guide information; Based on the maintenance operation process and safety guide information, information is displayed through an interactive interface to guide operators to perform the disconnection and restoration operations and obtain disconnection and restoration operation plan information.

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