Rapid disclosure method for disconnection and re-leading operation point locations on maintenance site of converter station

Abstract

The invention relates to the technical field of power system maintenance, in particular to a converter station maintenance site disconnection and reintroduction operation point location rapid disclosure method, which comprises the following steps of based on a converter station operation log, acquiring operation state data of a plurality of pieces of equipment of a converter station in real time, identifying state changes of the equipment, constructing a converter station point location state model, and establishing a converter station point location state model; and generating real-time monitoring data of the equipment. According to the invention, the real-time performance of equipment monitoring is improved by collecting and analyzing the operation state data of a plurality of pieces of equipment of the converter station in real time and constructing the point position state model of the converter station, various working states of the equipment are visually expressed in combination with data, the readability of information is enhanced, and the capability of identifying and positioning the state of an operation point by maintenance personnel and management personnel is improved; the equipment maintenance time is shortened, the maintenance operation efficiency is improved, and the accuracy and consistency of data are ensured by analyzing the geographic position and the relative position of the maintenance area, optimizing the maintenance path, standardizing the data recording format and synchronizing the real-time data.

Description

Technical Field

[0001] The present invention relates to the technical field of power system maintenance, and in particular to a method for quickly disclosing breaking and restoring operation points at a converter station maintenance site. Background Art

[0002] The field of power system maintenance technology includes the regular inspection, maintenance and repair of power facilities, focusing on ensuring the safety and efficiency of power transmission. It aims to use a variety of technical means and management strategies to prevent equipment failures and performance degradation of the power system at an early stage and maintain the stable operation of the power grid. Through status monitoring, fault diagnosis, preventive maintenance and emergency repair of electrical equipment, it realizes the inspection and maintenance of various key facilities in the power system, optimizes the reliability and economy of power supply, combines intelligent and digital technologies, and improves the accuracy and efficiency of maintenance work through remote monitoring, intelligent diagnostic systems and data analysis.

[0003] Among them, the method for rapid briefing of disconnection and reconnection operation points at the converter station maintenance site is used to quickly and effectively identify and brief the operation points when carrying out power system maintenance at the converter station. By accurately controlling and recording multiple links of the maintenance operation, it ensures that each necessary disconnection and reconnection point is accurately identified and recorded, reducing the duplication of work and operation risks caused by point errors and omissions, improving maintenance efficiency and operation safety, and combining data visualization and remote monitoring technology to enable maintenance personnel to quickly and accurately obtain operation point information, reduce the risk of misoperation, optimize the maintenance process and improve the safety of operations, provide an efficient and systematic management method for maintenance work, and improve the reliable operation of power operation.

[0004] The traditional method of briefing the maintenance work points in converter stations lacks the ability to monitor and respond to equipment status in real time, resulting in an untimely response to equipment failures, increasing the risk of system downtime and maintenance costs. It is not efficient and intuitive in data processing and information feedback, making it difficult for maintenance personnel to quickly and accurately obtain key information, leading to repeated communication and operational errors. The lack of highly digital and intelligent management methods limits the improvement of maintenance efficiency and the enhancement of operational safety. It cannot effectively integrate geographic location information and equipment status, making it difficult for maintenance teams to accurately locate maintenance locations during field operations, increasing maintenance time and affecting the stability and continuity of power grid operation. Summary of the invention

[0005] The purpose of the present invention is to solve the shortcomings of the prior art and to propose a method for quickly disclosing the operation points of the on-site disconnection and restoration of a converter station during maintenance.

[0006] In order to achieve the above-mentioned purpose, the present invention adopts the following technical scheme, a method for quickly explaining the breaking and restoring operation points at the converter station maintenance site, comprising the following steps:

[0007] S1: Based on the converter station operation log, collect the operating status data of multiple devices in the converter station in real time, identify the status changes of the devices, build the converter station location model, and generate real-time monitoring data of the devices;

[0008] S2: using the real-time monitoring data of the equipment, using color coding and icons to mark the status of the disconnection and restoration points of the maintenance equipment in real time, adjusting the visualization information of the equipment status, and generating a visual chart of the equipment status;

[0009] S3: Based on the visual diagram of the equipment status, the geographical locations and relative locations of multiple equipment in the maintenance area are analyzed and calculated, the location information of multiple disconnection and restoration points is recorded, and geographic positioning data is generated;

[0010] S4: Based on the geographic positioning data, by evaluating the boundary and point location information of the maintenance area, calculating and adjusting the maintenance path, and generating a maintenance path calculation result;

[0011] S5: Based on the calculation result of the maintenance path, the equipment and tool information required by multiple maintenance points is analyzed, and the maintenance operation records uploaded by the maintenance personnel are standardized and formatted to generate maintenance data upload records;

[0012] S6: Based on the maintenance data upload record, synchronize and analyze the maintenance record of the disconnection and restoration operation in real time, adjust the visualization information of multiple points, evaluate the compliance of the maintenance operation according to the safety operation standards, and generate the operation point briefing information.

[0013] As a further solution of the present invention, the real-time monitoring data of the equipment includes equipment operation frequency information, status change timestamp, and equipment status identification information; the equipment status visual chart includes multi-color status indication data, equipment fault area visualization information, and fault status alarm icon; the geo-positioning data includes equipment location information, equipment spatial distribution map, and relative distance measurement data; the maintenance path calculation results include equipment maintenance path, estimated time information, and critical path node information; the maintenance data upload record includes data upload format information, upload time information, and uploader identity information; the operation point briefing information includes safety standard compliance check, maintenance point briefing information, and data synchronization record.

[0014] As a further solution of the present invention, based on the converter station operation log, the operation status data of multiple devices in the converter station are collected in real time, the state changes of the devices are identified, the converter station location state model is constructed, and the steps of generating real-time monitoring data of the devices are specifically as follows:

[0015] S101: Based on the converter station operation log, the operation data of multiple devices in the converter station are collected in real time, the number of times the devices are turned on and off, the operation time and the state change information are recorded, and the device operation data set is generated;

[0016] S102: Analyze the device operation data based on the device operation data set, calculate the activity frequency and state change frequency of the device, and generate a device activity analysis result;

[0017] S103: Based on the equipment activity analysis result, by identifying the equipment status of multiple equipment in the converter station, a converter station location status model is constructed to generate real-time equipment monitoring data.

[0018] As a further solution of the present invention, the steps of using the real-time monitoring data of the equipment, using color coding and icons to mark the status of the disconnection and restoration points of the maintenance equipment in real time, adjusting the visualization information of the equipment status, and generating a visual chart of the equipment status are specifically as follows:

[0019] S201: using the real-time monitoring data of the device, identifying the status of multiple device disconnection and restoration points, including operation status, maintenance status and fault status, and generating a status information identification result;

[0020] S202: Based on the state information recognition result, adjust the visual information of the device state, including adjusting the icon and color to optimize the readability of the information, and generate a visual marking result;

[0021] S203: Based on the visual marking results and in combination with the converter station position status model, the visualization information of multiple disconnection and restoration operation points is adjusted to generate a visual diagram of the equipment status.

[0022] As a further solution of the present invention, based on the visual diagram of the equipment status, the geographical location and relative location of multiple equipment in the maintenance area are analyzed and calculated, and the location information of multiple disconnection and restoration points is recorded. The steps of generating geographic positioning data are specifically as follows:

[0023] S301: Based on the device status visual chart, collect and analyze the location information of multiple devices, identify the relative positions of multiple devices in the converter station, and generate a device coordinate list;

[0024] S302: Based on the device coordinate list, calculate the distance and connection logic information between devices, analyze the spatial distribution characteristics of the device layout, and generate a relative position analysis result;

[0025] S303: Based on the relative position analysis result, by analyzing the geographical and relative position data of the equipment, a converter station equipment geographical positioning map is constructed to generate geographical positioning data.

[0026] As a further solution of the present invention, based on the geographic positioning data, by evaluating the boundary and point location information of the maintenance area, the maintenance path is calculated and adjusted, and the steps of generating the maintenance path calculation result are specifically as follows:

[0027] S401: Based on the geolocation data, evaluate the boundary and equipment configuration of the current maintenance area, identify path obstacles and restrictions, and generate maintenance area boundary information;

[0028] S402: Based on the maintenance area boundary information, Bellman Ford algorithm is used to calculate the maintenance paths of multiple converter stations and generate operation point paths by considering the path length, power risk area and path obstacles;

[0029] S403: Based on the operation point path, taking into account the actual operation requirements and equipment connection logic, the maintenance path is adjusted, the time required for maintenance of multiple converter stations is analyzed and predicted, and the maintenance path calculation result is generated.

[0030] As a further solution of the present invention, the Bellman-Ford algorithm is according to the formula:

[0031] d[v]=min(d[u]+w(u,v)·(1+α·h+β·r+γ·s+δ·t))

[0032] Calculate the optimal maintenance path, where d[v] is the shortest path estimate for point v, d[u] is the shortest path estimate for point u, w(u,v) is the weight of the edge, h is the environmental risk factor, r is the equipment reliability index used to assess the probability of equipment failure, s is the equipment safety rating, t is the maintenance time sensitivity index, α is an adjustment factor for adjusting the impact of environmental risk on path cost, β is an adjustment factor for adjusting the impact of equipment reliability on path cost, γ is an adjustment factor for adjusting the impact of equipment safety rating on path cost, δ is an adjustment factor for adjusting the impact of maintenance time sensitivity on path cost, v is the destination point in path calculation, u is the starting point in path calculation, and min is a mathematical symbol for selecting the minimum value from a set of values.

[0033] As a further solution of the present invention, based on the calculation result of the maintenance path, the equipment and tool information required by multiple maintenance points is analyzed, and the maintenance operation records uploaded by the maintenance personnel are standardized and formatted. The steps of generating the maintenance data upload record are specifically as follows:

[0034] S501: Based on the calculation result of the maintenance path, identify and record the maintenance equipment and tools required by multiple converter stations, including tools, screw specifications, and vehicles, and generate an equipment and tool requirement list;

[0035] S502: Based on the equipment tool requirement list, format and standardize the photos, lead plate numbers, resistance measurement information and operation records uploaded by the maintenance personnel to generate operation record processing results;

[0036] S503: Based on the operation record processing result, the operation time, operator and inspector information of multiple operation points are recorded in real time, and the maintenance data upload record is generated.

[0037] As a further solution of the present invention, based on the maintenance data upload record, the maintenance record of the disconnection and restoration operation is synchronized and analyzed in real time, the visualization information of multiple points is adjusted, and the compliance of the maintenance operation is evaluated according to the safety operation standard. The steps of generating the operation point briefing information are specifically as follows:

[0038] S601: Based on the maintenance data upload record, the maintenance records of the disconnection and restoration operation are synchronized and analyzed in real time, including the operation time and operation process of multiple points, and a synchronous maintenance operation database is generated;

[0039] S602: Based on the synchronous maintenance operation database, adjusting visualization information of multiple maintenance points, including status indication, operation history and maintenance reminder, to generate visualization information of the points;

[0040] S603: Based on the point visualization information, a fuzzy logic algorithm is used to evaluate the compliance of the maintenance work according to the safety operation standards, conduct compliance review and safety scoring, and generate operation point briefing information.

[0041] As a further solution of the present invention, the fuzzy logic algorithm is according to the formula:

[0042]

[0043] Calculate the safety score, where S′(x) is the safety score, x is the risk factor value extracted from the point visualization information, x0 is the center point, k is the parameter of the steepness of the curve, α is the weight coefficient of the equipment maintenance history score, β is the weight coefficient of the environmental impact score, A is the maintenance history score of the equipment, B is the environmental impact score, and e is the base of the natural logarithm.

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

[0045] In the present invention, by real-time collection and analysis of the operating status data of multiple devices in the converter station, a converter station location status model is constructed, the real-time performance of equipment monitoring is improved, and the various working states of the equipment are expressed in combination with data visualization, the readability of information is enhanced, and the ability of maintenance personnel and management personnel to identify and locate the status of the operating point is improved, thereby reducing equipment maintenance time and improving maintenance work efficiency. By analyzing the geographical location and relative position of the maintenance area, the maintenance path is optimized, the data recording format and real-time data synchronization are standardized, and the accuracy and consistency of the data are ensured. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1It 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, a method for quickly explaining the operation points of the on-site disconnection and restoration of the converter station, comprising the following steps:

[0056] S1: Based on the converter station operation log, collect the operating status data of multiple devices in the converter station in real time, identify the status changes of the devices, build the converter station location model, and generate real-time monitoring data of the devices;

[0057] S2: Use the real-time monitoring data of the equipment, use color coding and icons to mark the status of the repair equipment disconnection and restoration points in real time, adjust the visual information of the equipment status, and generate a visual chart of the equipment status;

[0058] S3: Based on the visual diagram of the equipment status, the geographical location and relative location of multiple equipment in the maintenance area are analyzed and calculated, the location information of multiple disconnection and restoration points is recorded, and geographic positioning data is generated;

[0059] S4: Based on the geographic positioning data, by evaluating the boundary and point location information of the maintenance area, the maintenance path is calculated and adjusted to generate the maintenance path calculation result;

[0060] S5: Based on the calculation results of the maintenance path, analyze the equipment and tool information required for multiple maintenance points, standardize and format the maintenance operation records uploaded by the maintenance personnel, and generate maintenance data upload records;

[0061] S6: Based on the maintenance data upload records, synchronize and analyze the maintenance records of the disconnection and restoration operations in real time, adjust the visual information of multiple points, evaluate the compliance of the maintenance operations according to the safety operation standards, and generate operation point briefing information.

[0062] Real-time equipment monitoring data includes equipment operation frequency information, status change timestamp, and equipment status identification information. Equipment status visual charts include multi-color status indication data, equipment fault area visualization information, and fault status alarm icons. Geo-positioning data includes equipment location information, equipment spatial distribution map, and relative distance measurement data. Maintenance path calculation results include equipment maintenance path, estimated time information, and critical path node information. Maintenance data upload records include data upload format information, upload time information, and uploader identity information. Operation point briefing information includes safety standard compliance inspection, maintenance point briefing information, and data synchronization records.

[0063] See also Figure 2 Based on the converter station operation log, the operation status data of multiple devices in the converter station are collected in real time, the status changes of the devices are identified, the converter station location model is constructed, and the steps for generating real-time monitoring data of the devices are as follows:

[0064] S101: Based on the converter station operation log, the operation data of multiple devices in the converter station are collected in real time, the number of times the devices are turned on and off, the operation time and the state change information are recorded, and the specific process of generating the device operation data set is as follows;

[0065] In sub-step S101, based on the operation log of the converter station, the operation data of multiple devices in the converter station are collected in real time, including recording the number of times the equipment is turned on and off, the operating time and the state change information. Data is extracted from the operation log of the converter station equipment. The number of switches and the operating time of each device are recorded and converted into digital signals. The data is analyzed in time series to capture the device behavior pattern. The data is imported into the real-time database system to support continuous data update and query, and the device data is integrated. The formula is: in, Indicates the i z Comprehensive data of each device, Indicates the number of times the j0th opening or closing is performed. Indicates the corresponding running time, The weight representing the state change is used to evaluate the overall operation of the equipment by accumulating the weighted switching times, operating time, and state changes to generate a device operation data set.

[0066] S102: Based on the device operation data set, analyze the device operation data, calculate the activity frequency and state change frequency of the device, and generate the device activity analysis result. The specific process is as follows;

[0067] In sub-step S102, based on the equipment operation data set, the equipment operation data is analyzed, the equipment activity frequency and state change frequency are calculated, and the operation efficiency and reliability of each equipment are evaluated using statistical methods. By aggregating the data of equipment operation time and state change, the frequency and change analysis formula is used for calculation, and the formula is: in, Represents device i z The activity frequency, K0 represents the total number of times during the observation period, Indicates that during the k0th observation period, device i z D0 is the number of state changes, D1 is the number of observation days, and the activity frequency of the device is reflected according to the ratio of the cumulative number of device state changes to the total number of days, generating the device activity analysis results.

[0068] S103: Based on the equipment activity analysis result, by identifying the equipment status of multiple equipment in the converter station, a converter station location status model is constructed, and the process of generating real-time equipment monitoring data is specifically as follows;

[0069] In sub-step S103, based on the equipment activity analysis results, the equipment status in the converter station is identified, and a converter station status model is constructed. Using a data-driven approach, combined with equipment history and real-time status data, a prediction model is constructed to achieve real-time monitoring of the equipment status. The state prediction formula is used to construct the model, and the formula is: in, Indicates device i z The state model output is is the intercept term of the model, represents the weight of the m0th state parameter, For device i z Based on the observation values ​​in the m0th state, equipment failures and behavior trends are predicted, the monitoring strategy is adjusted in real time to optimize the operating efficiency and safety of the converter station, and real-time monitoring data of the equipment is generated.

[0070] See also Figure 3, using the real-time monitoring data of the equipment, using color coding and icons to mark the status of the repair equipment disconnection and restoration points in real time, adjusting the visual information of the equipment status, and generating the visual chart of the equipment status are as follows:

[0071] S201: using the real-time monitoring data of the equipment, identifying the status of multiple equipment disconnection and restoration points, including the operation status, maintenance status and fault status, and generating the status information identification result in the following process;

[0072] In sub-step S201, the real-time monitoring data of the equipment is used to identify the status of multiple equipment disconnection and restoration points, including the operating status, maintenance status and fault status. The real-time data is used to evaluate the operating parameters of each device through statistical analysis, and the operating efficiency and health status are monitored in real time. The equipment status identification formula is adjusted to: in, Indicates device i x The average state of Indicates device i x The status data at time point j1, n1 is the total number of device status data in the time period considered, which is used to calculate the average value, calculate the arithmetic mean of the status data, and generate the status information recognition result.

[0073] S202: Based on the status information recognition result, adjust the visual information of the device status, including adjusting the icon and color to optimize the readability of the information. The specific process of generating the visual marking result is as follows;

[0074] In sub-step S202, based on the status information recognition result, the visual information of the device status is adjusted, including adjusting the icon and color to optimize the readability of the information, applying a visual optimization algorithm, adjusting the color and graphics to represent various states of the device, and the visual mark adjustment formula is: in, Represents device i x The visual information output, is the weight of the color or icon, For the k1th visual attribute value, the visual representation is optimized by weighting the visual attribute value, the friendliness of the user interface and the readability of the data are improved, and the visual labeling result is generated.

[0075] S203: Based on the visual marking results and in combination with the converter station position state model, the visualization information of multiple disconnection and reinsertion operation points is adjusted to generate a visual diagram of the equipment status. Specifically, the process is as follows;

[0076] In sub-step S203, based on the visual marking results and in combination with the converter station position state model, the visualization information of multiple disconnection and reinsertion operation points is adjusted. The state model and visual marking results are used to optimize the graphical display of the equipment status to reflect the real-time operation status of the equipment. The visualization information adjustment formula is: in, Represents device i x The visual model output is is the weight of multiple parameters in the state model, are the parameter values ​​in the state model, It is a visual information output that combines the state model output and visual information to enhance the expressiveness and accuracy of the visual effects and generate a visual diagram of the device status.

[0077] See also Figure 4 Based on the visual diagram of the equipment status, the geographical location and relative location of multiple equipment in the maintenance area are analyzed and calculated, and the location information of multiple disconnection and restoration points is recorded. The specific steps for generating geographic positioning data are as follows:

[0078] S301: Based on the visual diagram of the device status, the location information of multiple devices is collected and analyzed, the relative positions of multiple devices in the converter station are identified, and the process of generating a device coordinate list is specifically as follows;

[0079] In sub-step S301, based on the visual diagram of the equipment status, the location information of multiple equipment is collected and analyzed, including the location identification of the equipment. The location of the equipment in the converter station is captured by the sensors installed on the equipment. The quality of the data is optimized through data preprocessing, including filtering and denoising. In order to convert the data into a numerical value in the coordinate system, the formula is: in, Represents device i c The standardized coordinate values ​​of and They are the X-axis and Y-axis coordinate values ​​of the device, respectively, converting the original position data into comparable standardized values ​​for performing spatial relationship analysis and generating a device coordinate list.

[0080] S302: Based on the device coordinate list, the distance and connection logic information between devices are calculated, the spatial distribution characteristics of the device layout are analyzed, and the process of generating the relative position analysis result is specifically as follows;

[0081] In sub-step S302, based on the device coordinate list, the distance and connection logic between devices are calculated, taking into account the exact location of the device and obstacles, and using the Euclidean distance formula for calculation:

[0082] in, Indicates device i c With equipmentc The distance between and Is the device c The coordinates of and Is the device c coordinates, understand the physical layout and interactions between devices, optimize device performance and response time, and generate relative position analysis results.

[0083] S303: Based on the relative position analysis result, by analyzing the geographical and relative position data of the equipment, a geographic positioning map of the converter station equipment is constructed. The specific process of generating geographic positioning data is as follows;

[0084] In sub-step S303, based on the relative position analysis results, the geographical and relative position data of the equipment are analyzed, and a geographical positioning map of the converter station equipment is constructed. The spatial coordinates of the equipment are mapped to geographical coordinates by combining geographic information system technology and computational geography. The formula is: in, Indicates device i c The geolocation value of and It is the spatial coordinate value of the equipment. It uses mathematical models to convert spatial data into geographic data, improves the practicality and accessibility of equipment location information, provides an intuitive equipment location view, supports daily operation and maintenance and emergency response plans of converter stations, and generates geolocation data.

[0085] See also Figure 5 Based on the geographic positioning data, the maintenance path is calculated and adjusted by evaluating the boundary and point location information of the maintenance area. The steps to generate the maintenance path calculation result are as follows:

[0086] S401: Based on the geolocation data, the process of evaluating the boundary and equipment configuration of the current maintenance area, identifying path obstacles and restrictions, and generating the boundary information of the maintenance area is as follows;

[0087] In sub-step S401, based on the geographic positioning data, data preprocessing is performed, including data cleaning and standardization, to ensure the accuracy and availability of the input data. The boundaries of the maintenance area are delineated using a geographic information system, and the existing path obstacles and limiting factors are identified by analyzing the equipment configuration file. The outermost boundary of the maintenance area is determined using a boundary recognition algorithm, and the key obstacles that affect the maintenance path are marked by an obstacle recognition module. The formula is: Among them, B(s) represents the boundary function of the maintenance area, s is the variable for boundary detection, n3 is the number of boundary points, GIS3(x i3 ) represents the geographic information processing result of the i3th point, w i3is the weight of the point, representing its importance in boundary delineation, and the boundary information of the maintenance area is obtained.

[0088] S402: Based on the boundary information of the maintenance area, the Bellman Ford algorithm is used to consider the path length, power risk area and path obstacles, calculate the maintenance paths of multiple converter stations, and generate the operation point path. The specific process is as follows;

[0089] In sub-step S402, based on the boundary information of the maintenance area, the Bellman Ford algorithm is used, including evaluating each maintenance path, considering the path length, power risk area and path obstacles, applying the Bellman Ford algorithm to calculate the optimal path, calculating the maintenance paths of multiple converter stations, and generating the operation point path.

[0090] Bellman-Ford algorithm, according to the formula:

[0091] d[v]=min(d[u]+w(u,v)·(1+α·h+β·r+γ·s+δ·t))

[0092] Calculate the optimal maintenance path, where d[v] is the shortest path estimate of point v, which is used to represent the estimated shortest distance from the source point to point v, d[u] is the shortest path estimate of point u, which is used to represent the currently known shortest distance from the source point to point u, w(u,v) is the edge weight, which is used to represent the basic travel cost of the edge from vertex u to v, h is the environmental risk factor, which is used to measure the impact of current environmental conditions on the selection of maintenance paths, r is the equipment reliability index, which is used to evaluate the probability of equipment failure and affect path selection, s is the equipment safety rating, which is used to measure the safety hazards of equipment operation, t is the maintenance time sensitivity index, which is used to evaluate the impact of time delays on maintenance efficiency, α is the adjustment coefficient used to adjust the impact of environmental risks on path costs, β is the adjustment coefficient used to adjust the impact of equipment reliability on path costs, γ is the adjustment coefficient used to adjust the impact of equipment safety rating on path costs, δ is the adjustment coefficient used to adjust the impact of maintenance time sensitivity on path costs, v is the destination point in path calculation, u is the starting point in path calculation, and min is a mathematical symbol used to select the minimum value from a set of values.

[0093] The specific execution process of the formula is as follows:

[0094] Through field investigation and historical data analysis, we obtain the risk score h, equipment reliability index r, equipment safety rating s, and time sensitivity index t of each equipment and environment. Based on historical maintenance data and using statistical analysis models, we calculate the adjustment coefficients α, β, γ, and δ. Substituting the parameters into the formula, we calculate the shortest path estimate d[v] of each vertex, which is used to determine the optimal maintenance path and optimize the safety and efficiency of maintenance operations.

[0095] S403: Based on the operation point path, the actual operation requirements and equipment connection logic are considered, the maintenance path is adjusted, the time required for maintenance of multiple converter stations is analyzed and predicted, and the specific process of generating the maintenance path calculation result is as follows;

[0096] In sub-step S403, based on the operation point path, the actual maintenance demand of each converter station is compared with the equipment connection logic, and necessary adjustments are made to the maintenance path. The time prediction model is used to analyze and predict the time required for the maintenance of each converter station. The statistical analysis model based on historical data is combined with the actual operation time data. The formula is: Where T(w) represents the total maintenance time function, w is the operation point path variable, q is the number of maintenance sites, s 3k is the estimated single-station maintenance time of the kth station, h 3k It is the time coefficient of the site in the historical data, which represents the weighted impact of the historical maintenance data on the prediction and generates the maintenance path calculation result.

[0097] See also Figure 6 Based on the calculation results of the maintenance path, the equipment and tool information required for multiple maintenance points is analyzed, and the maintenance work records uploaded by the maintenance personnel are standardized and formatted. The specific steps for generating maintenance data upload records are as follows:

[0098] S501: Based on the calculation results of the maintenance path, the maintenance equipment and tools required by multiple converter stations are identified and recorded, including tools, screw specifications, and vehicles, and the specific process of generating the equipment and tool requirement list is as follows;

[0099] In sub-step S501, based on the calculation results of the maintenance path, the maintenance work requirements are analyzed, and the required maintenance equipment and tools are identified, including the analysis of the required tools, screw specifications, and required vehicle types. The target equipment and tools required for each converter station are classified and listed, and summarized into a demand list. The formula is: Where E(b) represents the function of the equipment and tool requirement list, b is the parameter of the requirement list, n5 is the total number of requirement items, and e i5 It represents the i5th requirement item. The requirement is determined by analyzing the output results of the maintenance path and generating an equipment and tool requirement list.

[0100] S502: Based on the equipment tool requirement list, the photos, the lead-off tag number, the measured resistance information and the operation records uploaded by the maintenance personnel are formatted and standardized, and the specific process of generating the operation record processing result is as follows;

[0101] In sub-step S502, based on the equipment tool requirement list, the photos, lead plate numbers, resistance measurement information and operation records uploaded by the maintenance personnel are formatted and standardized. By setting a unified format specification, it is ensured that the uploaded data meets the data processing standards. The formula is: Among them, F(c) is the function of the job record processing result, c is the parameter of the processing result, m5 is the total number of data items, and f j5 is the formatting function for the j5th item data, d j5 For the corresponding original data, the consistency and analyzability of the data are ensured, and the job record processing results are generated.

[0102] S503: Based on the operation record processing result, the operation time, operator and inspector information of multiple operation points are recorded in real time, and the specific process of generating the maintenance data upload record is as follows;

[0103] In sub-step S503, based on the operation record processing results, the operation time, operator and inspector information of multiple operation points are monitored and recorded in real time. By establishing a real-time data entry and tracking system, key operation data is ensured to be recorded accurately and timely. The formula is: Among them, R(d) represents the function of uploading maintenance data records, d is the recording parameter, q5 is the total number of operation points, t k5 is the operation time of the k5th operation point, p k5 Generate maintenance data upload records for personnel factors at the work site.

[0104] See also Figure 7 Based on the maintenance data upload records, the maintenance records of the disconnection and restoration operations are synchronized and analyzed in real time, the visual information of multiple points is adjusted, and the compliance of the maintenance operations is evaluated according to the safety operation standards. The specific steps for generating the operation point briefing information are as follows:

[0105] S601: Based on the maintenance data upload record, the maintenance records of the disconnection and restoration operation are synchronized and analyzed in real time, including the operation time and operation process of multiple points, and the specific process of generating a synchronous maintenance operation database is as follows;

[0106] In sub-step S601, based on the maintenance data upload record, data is collected from each maintenance point, including operation time, operation process and other key information, and the collected data is structured, including data cleaning, format unification and outlier processing. The target data is synchronized to the central processing system in real time, and the database transaction processing mechanism is used to ensure the integrity and consistency of the data. The data synchronization algorithm is used, and the formula is: Where T′ represents the processing time of the synchronous transaction, is the data size, is the network bandwidth, i6 represents different data sources, and n6 is the total number of data sources. By optimizing data flow and network resource allocation, the delay of data synchronization is reduced and a synchronous maintenance operation database is generated.

[0107] S602: Based on the synchronous maintenance operation database, the visualization information of multiple maintenance points is adjusted, including status indication, operation history and maintenance reminder. The specific process of generating the visualization information of the points is as follows;

[0108] In sub-step S602, based on the synchronous maintenance operation database, the data in the database are queried and analyzed to obtain the status indication, operation history and maintenance reminder information of each maintenance point, including data visualization processing, design and implementation of the information display interface, so that the target information conforms to the operating habits of the personnel, and the visualization information of each maintenance point is adjusted to ensure the real-time and accuracy of the information. The information visualization formula is used, and the formula is: V′=α′·d′+β′·h′+γ′·m′, where V′ is the visualization quality score, α′, β′, γ′ are the weight coefficients of status indication, operation history and maintenance reminder respectively, d′, h′, m′ represent the data quality of status data, historical records and maintenance reminders, and the visualization information display of the point is optimized by adjusting the weights to generate point visualization information.

[0109] S603: Based on the point visualization information, the fuzzy logic algorithm is used to evaluate the compliance of the maintenance work according to the safety operation standards, conduct compliance review and safety scoring, and generate the operation point briefing information. The specific process is as follows;

[0110] In sub-step S603, based on the point visualization information, the associated safe operation standard parameters are extracted, including standardized operation procedures and safety protection measures, and the compliance of the maintenance operation is evaluated using fuzzy logic according to the standard, including setting fuzzy rules and membership functions, converting quantified operation data into compliance scores, quantitatively evaluating the safety of the maintenance operation, conducting compliance audits and safety scores, and generating operation point briefing information.

[0111] The fuzzy logic algorithm follows the formula:

[0112]

[0113] Calculate the safety score, where S′(x) is the safety score, which is used to measure the comprehensive safety level of the maintenance point. x is the risk factor value extracted from the point visualization information, which is used to represent the current operating environment and equipment status. x0 is the center point, which adjusts the position of the curve on the x-axis and is used to standardize the risk factor value. k is the parameter of the steepness of the curve, which is used to adjust the sensitivity of the function. α is the weight coefficient of the equipment maintenance history score, which is used to adjust the impact of the equipment maintenance history on the safety score. β is the weight coefficient of the environmental impact score, which is used to adjust the impact of environmental factors on the safety score. A is the maintenance history score of the equipment, which reflects the frequency and quality of equipment maintenance. B is the environmental impact score, which includes potential risk factors in the environment around the equipment. e is the base of the natural logarithm, which is used to normalize the impact of risk factors and weights.

[0114] The specific execution process of the formula is as follows:

[0115] Through the point visualization system, the risk factor x of the current maintenance point is obtained. At the same time, the equipment maintenance history score A is extracted from the equipment management system and the environmental impact score B is obtained from the environmental monitoring system. According to the historical data analysis, the weight coefficients α and β are obtained by using the regression model. The parameters are substituted into the fuzzy logic formula to calculate the safety score S′(x) of each maintenance point to ensure that the maintenance work meets the technical standards and improve the safety of operations and the accuracy of decision-making.

[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. A method for quickly explaining the operation points of the converter station maintenance site, characterized in that: The following steps are involved: Based on the converter station operation log, the operation status data of multiple devices in the converter station are collected in real time, the status changes of the devices are identified, the converter station location model is constructed, and the real-time monitoring data of the devices is generated; The real-time monitoring data of the equipment is adopted, and the status of the disconnection and restoration points of the maintenance equipment is marked in real time by using color coding and icons, and the visual information of the equipment status is adjusted to generate a visual chart of the equipment status; Based on the visual diagram of the equipment status, the geographical location and relative location of multiple equipment in the maintenance area are analyzed and calculated, the location information of multiple disconnection and restoration points is recorded, and geographic positioning data is generated; Based on the geographic positioning data, by evaluating the boundary and point location information of the maintenance area, the maintenance path is calculated and adjusted to generate a maintenance path calculation result; Based on the calculation results of the maintenance path, the equipment and tool information required by multiple maintenance points is analyzed, and the maintenance operation records uploaded by the maintenance personnel are standardized and formatted to generate maintenance data upload records; Based on the maintenance data upload records, the maintenance records of the disconnection and restoration operations are synchronized and analyzed in real time, the visual information of multiple points is adjusted, and the compliance of the maintenance operations is evaluated according to the safety operation standards, and the operation point briefing information is generated.

2. The method for rapid briefing of the switching operation points at the converter station maintenance site according to claim 1 is characterized in that: The real-time monitoring data of the equipment includes equipment operation frequency information, status change timestamp, and equipment status identification information; the equipment status visual chart includes multi-color status indication data, equipment fault area visualization information, and fault status alarm icon; the geo-positioning data includes equipment location information, equipment spatial distribution map, and relative distance measurement data; the maintenance path calculation results include equipment maintenance path, estimated time information, and key path node information; the maintenance data upload record includes data upload format information, upload time information, and uploader identity information; the operation point briefing information includes safety standard compliance inspection, maintenance point briefing information, and data synchronization record.

3. The method for rapid briefing of the switching operation points at the converter station maintenance site according to claim 1 is characterized in that: Based on the converter station operation log, the operation status data of multiple devices in the converter station are collected in real time, the status changes of the devices are identified, the converter station location model is constructed, and the steps for generating real-time monitoring data of the devices are as follows: Based on the converter station operation log, the operation data of multiple devices in the converter station are collected in real time, the number of times the equipment is turned on and off, the operation time and the status change information are recorded, and the equipment operation data set is generated; Based on the device operation data set, analyze the device operation data, calculate the activity frequency and state change frequency of the device, and generate a device activity analysis result; Based on the equipment activity analysis result, by identifying the equipment status of multiple equipment in the converter station, a converter station location status model is constructed to generate real-time equipment monitoring data.

4. The method for rapid briefing of the switching operation points at the converter station maintenance site according to claim 1 is characterized in that: The steps of using the real-time monitoring data of the equipment, marking the status of the disconnection and restoration points of the maintenance equipment in real time by using color coding and icons, adjusting the visual information of the equipment status, and generating a visual chart of the equipment status are as follows: Using the real-time monitoring data of the equipment, the status of multiple equipment disconnection and restoration points is identified, including operation status, maintenance status and fault status, and a status information identification result is generated; Based on the state information recognition result, adjusting the visual information of the device state, including adjusting icons and colors to optimize the readability of the information, and generating a visual marking result; Based on the visual marking results and in combination with the converter station position status model, the visualization information of multiple disconnection and restoration operation points is adjusted to generate a visual diagram of the equipment status.

5. The method for rapid briefing of the switching operation points at the converter station maintenance site according to claim 1 is characterized in that: Based on the equipment status visual chart, the steps of analyzing and calculating the geographical location and relative location of multiple equipment in the maintenance area, recording the location information of multiple disconnection and restoration points, and generating geographic positioning data are specifically as follows: Based on the device status visual chart, collecting and analyzing the location information of multiple devices, identifying the relative positions of multiple devices in the converter station, and generating a device coordinate list; Based on the device coordinate list, calculate the distance and connection logic information between devices, analyze the spatial distribution characteristics of the device layout, and generate a relative position analysis result; Based on the relative position analysis result, by analyzing the geographical and relative position data of the equipment, a converter station equipment geographical positioning map is constructed to generate geographical positioning data.

6. The method for rapid briefing of the switching operation points at the converter station maintenance site according to claim 1 is characterized in that: Based on the geographic positioning data, by evaluating the boundary and point location information of the maintenance area, the maintenance path is calculated and adjusted, and the steps of generating the maintenance path calculation result are specifically as follows: Based on the geolocation data, evaluate the boundaries and equipment configuration of the current maintenance area, identify path obstacles and restrictions, and generate maintenance area boundary information; Based on the boundary information of the maintenance area, the Bellman-Ford algorithm is used to calculate the maintenance paths of multiple converter stations and generate the operation point path by considering the path length, power risk area and path obstacles; Based on the operation point path, the actual operation requirements and equipment connection logic are taken into consideration, the maintenance path is adjusted, the time required for maintenance of multiple converter stations is analyzed and predicted, and the maintenance path calculation result is generated.

7. The method for rapid briefing of the switching operation points at the converter station maintenance site according to claim 6 is characterized in that: The Bellman-Ford algorithm, according to the formula: d[v]=min(d[u]+w(u,v)·(1+α·h+β·r+γ·s+δ·t)) Calculate the optimal maintenance path, where d[v] is the shortest path estimate for point v, d[u] is the shortest path estimate for point u, w(u,v) is the weight of the edge, h is the environmental risk factor, r is the equipment reliability index used to assess the probability of equipment failure, s is the equipment safety rating, t is the maintenance time sensitivity index, α is an adjustment factor for adjusting the impact of environmental risk on path cost, β is an adjustment factor for adjusting the impact of equipment reliability on path cost, γ is an adjustment factor for adjusting the impact of equipment safety rating on path cost, δ is an adjustment factor for adjusting the impact of maintenance time sensitivity on path cost, v is the destination point in path calculation, u is the starting point in path calculation, and min is a mathematical symbol for selecting the minimum value from a set of values.

8. The method for rapid briefing of the switching operation points at the converter station maintenance site according to claim 1 is characterized in that: Based on the calculation results of the maintenance path, the equipment and tool information required by multiple maintenance points is analyzed, and the maintenance operation records uploaded by the maintenance personnel are standardized and formatted. The steps of generating the maintenance data upload record are as follows: Based on the calculation results of the maintenance path, identify and record the maintenance equipment and tools required by multiple converter stations, including tools, screw specifications, and vehicles, and generate an equipment and tool requirement list; Based on the equipment and tool requirement list, format and standardize the photos, lead plate numbers, resistance measurement information and operation records uploaded by the maintenance personnel to generate operation record processing results; Based on the operation record processing result, the operation time, operator and inspector information of multiple operation points are recorded in real time, and the maintenance data upload record is generated.

9. The method for rapid briefing of the switching operation points at the converter station maintenance site according to claim 1 is characterized in that: Based on the maintenance data upload record, the maintenance records of the disconnection and restoration operation are synchronized and analyzed in real time, the visualization information of multiple points is adjusted, and the compliance of the maintenance operation is evaluated according to the safety operation standard. The steps of generating the operation point briefing information are as follows: Based on the maintenance data upload record, the maintenance records of the disconnection and restoration operation are synchronized and analyzed in real time, including the operation time and operation process of multiple points, to generate a synchronous maintenance operation database; Based on the synchronous maintenance operation database, the visualization information of multiple maintenance points is adjusted, including status indication, operation history and maintenance reminder, to generate visualization information of the points; Based on the visualization information of the points, a fuzzy logic algorithm is used to evaluate the compliance of the maintenance work according to the safety operation standards, conduct compliance audits and safety scores, and generate operation point briefing information.

10. The method for rapid briefing of the switching operation points at the converter station maintenance site according to claim 9, characterized in that: The fuzzy logic algorithm follows the formula: Calculate the safety score, where S′(x) is the safety score, x is the risk factor value extracted from the point visualization information, x0 is the center point, k is the parameter of the steepness of the curve, α is the weight coefficient of the equipment maintenance history score, β is the weight coefficient of the environmental impact score, A is the maintenance history score of the equipment, B is the environmental impact score, and e is the base of the natural logarithm.

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