Cloud platform-based intelligent control system and method for the entire process of substation maintenance implementation

Abstract

The present invention provides a full-process intelligent management and control system and method for substation maintenance based on a cloud platform, in the field of smart grid operation and maintenance technology, the system includes: an acquisition layer, a data layer, a management layer, an information layer and a presentation layer; the acquisition layer includes a scheme entry module, an image acquisition module, a positioning module and an electromagnetic fingerprint acquisition module, which are used to build a digital twin maintenance template and collect multi-source data; the data layer includes an intelligent image review module, a multi-source positioning compensation module and an electromagnetic fingerprint matching module, which are used to realize the fusion analysis and error compensation of multi-source data; the management layer includes a dynamic authority control module and a positioning status decision module, which are used to allocate equipment operation permissions based on biometrics and electromagnetic safety parameters; the information layer includes a dynamic path planning module and an evaluation alarm module, which are used to generate an optimal operation path and trigger multi-level safety alarms; the presentation layer realizes visual interaction and alarm prompts through a terminal interface.

Description

Technical Field

[0001] The present invention belongs to the field of smart grid operation and maintenance technology, and more specifically, relates to a full-process intelligent management and control system and method for substation maintenance based on a cloud platform. Background Art

[0002] With the rapid development of power systems, substations, as core nodes of the power grid, face a direct impact on the reliability of grid operations due to the safety and efficiency of their equipment maintenance. Traditional substation maintenance relies primarily on manual operations and paper-based process management, and current maintenance work faces numerous challenges. The maintenance process is multi-step, the equipment is complex, and it involves different spatial locations. Manual verification can easily lead to process disconnects and human errors, and the risk of misoperation in high-voltage live areas is extremely high. Regarding positioning, the strong electromagnetic fields within substations can interfere with traditional positioning technology, causing drift or failure, making it impossible to achieve real-time navigation with millimeter-level precision, and thus affecting the accuracy of maintenance routes. Regarding permission management, existing permission control is based on static role allocation, making it difficult to dynamically adapt to changes in the electromagnetic environment. This poses the risk of excessive permission opening or unreasonable restrictions.

[0003] The existing technical document (CN119579146A) discloses a panoramic control solution in the field of substation inspection technology, which achieves safety monitoring through three-dimensional modeling, dynamic correction of inspection routes and electronic fence setting. However, its core method has the following shortcomings: there is a lack of environmental interference response mechanism, and no dynamic compensation is performed for the multipath interference problem of the strong electromagnetic field of the substation on the positioning system, which causes the positioning data to drift in the high-voltage equipment area, affecting navigation accuracy; the risk assessment dimension is single, and the risk level is assessed only by relying on the historical operation data of the equipment and static cost parameters, without integrating real-time environmental safety parameters such as electromagnetic radiation intensity and equipment power status, resulting in safety control lagging behind actual working conditions; the authority control strategy is rigid, using preset role allocation and fixed electronic fence rules, and cannot dynamically adjust the operation authority level according to environmental changes, and there is a risk of misoperation in the energized area. Summary of the Invention

[0004] In order to address the deficiencies in the prior art, the present invention provides a cloud-based platform-based intelligent management and control system and method for the entire substation maintenance process.

[0005] The present invention adopts the following technical solutions.

[0006] A first aspect of the present invention provides a cloud-based intelligent management and control system for the entire substation maintenance process, the system comprising:

[0007] Collection layer, data layer, management layer, information layer and presentation layer;

[0008] The acquisition layer includes a solution entry module, an image acquisition module, a positioning module, and an electromagnetic fingerprint acquisition module, which are used to build a digital twin maintenance template and collect multi-source data;

[0009] The data layer includes an intelligent image review module, a multi-source positioning compensation module and an electromagnetic fingerprint matching module, which are used to realize the fusion analysis and error compensation of multi-source data;

[0010] The management layer includes a dynamic authority control module and a positioning status decision module for allocating device operation permissions based on biometric characteristics and electromagnetic safety parameters;

[0011] The information layer includes a dynamic path planning module and an assessment and alarm module for generating the optimal operation path and triggering multi-level safety alarms;

[0012] The presentation layer implements visual interaction and alarm prompts through the terminal interface.

[0013] Optionally, the multi-source positioning compensation module includes:

[0014] It integrates a UWB positioning unit, a visual SLAM unit and an electromagnetic interference sensor. The electromagnetic interference sensor is used to collect the power frequency magnetic field strength value, dynamically calculate the electromagnetic interference compensation coefficient based on the voltage level, and perform error correction on the fused positioning data.

[0015] Optionally, the electromagnetic fingerprint matching module includes:

[0016] The reference feature library unit stores the steady-state electromagnetic fingerprint data of equipment areas at different voltage levels;

[0017] Dynamic comparison unit calculates the deviation between real-time electromagnetic characteristic data and reference data, and outputs the electromagnetic environment credibility score based on the deviation interval;

[0018] The safety threshold unit presets electromagnetic safety thresholds corresponding to different voltage levels and triggers an alarm when the real-time electromagnetic characteristic data exceeds the safety threshold.

[0019] Optionally, the dynamic permission control module includes:

[0020] A biometric verification unit, configured to generate biometric credibility parameters through face or fingerprint recognition;

[0021] A dynamic weight calculation unit calculates the comprehensive credibility based on the biometric credibility parameters and the electromagnetic environment credibility score using a preset weight coefficient;

[0022] The authority allocation unit dynamically allocates the device operation authority level according to the comprehensive credibility, including full authority mode, restricted mode and locked mode.

[0023] A second aspect of the present invention provides a method for implementing full-process intelligent management and control of substation maintenance based on a cloud platform, based on the full-process intelligent management and control system for substation maintenance based on a cloud platform described in the first aspect of the present invention, comprising the following steps:

[0024] Establish a digital twin maintenance template, bind the three-dimensional spatial coordinates of the substation equipment, and generate a structured data file containing the mapping relationship between process steps, operation location coordinates, and electromagnetic fingerprint collection points;

[0025] Based on the structured data file, the system triggers the simultaneous collection of multi-source data by sensing the real-time location of the maintenance personnel, and performs intelligent review, error compensation, and safety assessment on the collected work images, positioning data, and electromagnetic fingerprint data to generate image compliance scores, fused positioning coordinate data, and electromagnetic environment credibility scores;

[0026] Dynamically assign equipment operation authority levels to maintenance personnel based on biometric credibility parameters and electromagnetic environment credibility scores;

[0027] Based on the authority level and the fused positioning coordinate data, a dynamic operation path is generated through the improved A-Star algorithm, and the electromagnetic safety value is monitored in real time to trigger path optimization;

[0028] Aggregate job log data, generate comprehensive security assessment reports, and push them to terminal applications.

[0029] Optionally, establishing a digital twin maintenance template includes:

[0030] Import the 3D point cloud model of substation equipment and create the equipment space topology map;

[0031] Assign a unique hash identifier to each maintenance process step and store the work location coordinates in association with the equipment ID;

[0032] Generate a structured data file containing the encrypted process number-coordinate mapping relationship and electromagnetic fingerprint collection point topology data.

[0033] Optionally, triggering the synchronous collection of multi-source data by sensing the real-time location of the maintenance personnel includes:

[0034] Monitor the maintenance personnel's positioning data in real time and compare it with the pre-stored work location coordinates;

[0035] When the deviation between the real-time position and any pre-stored operation position coordinate is less than the preset threshold, the image acquisition module is triggered to obtain the operation image of the corresponding coordinate point, and the electromagnetic fingerprint acquisition device bound to the coordinate point is activated to synchronously collect electromagnetic data.

[0036] Optionally, the dynamically allocating equipment operation authority levels of maintenance personnel based on biometric credibility parameters and electromagnetic environment credibility scores includes:

[0037] Collect the maintenance personnel's biometric data, compare it with the pre-stored feature templates for similarity, and generate biometric credibility parameters;

[0038] Linear mapping of electromagnetic environment credibility scores to generate electromagnetic fingerprint matching degree;

[0039] Based on the biometric credibility score, electromagnetic fingerprint matching degree and historical operation accuracy, a comprehensive credibility is calculated using a preset weight coefficient matrix;

[0040] Dynamically assign permission levels based on comprehensive credibility, including full permission mode, restricted mode, and locked mode;

[0041] The full authority mode is to open all equipment operation permissions and release the physical locking device;

[0042] The restricted mode is to enable a virtual fence, including limiting the operation of equipment above 220kV;

[0043] The locking mode is to automatically lock the device interface.

[0044] Optionally, the generating of a dynamic operation path by improving the A-Star algorithm and real-time monitoring of electromagnetic safety values ​​to trigger path optimization includes:

[0045] Construct a multi-constraint topology model with input parameters including permission level, fused positioning coordinate data, and electromagnetic environment credibility score;

[0046] defining a path cost function, the function integrating cumulative topological weight, Euclidean distance heuristic function and electromagnetic safety penalty factor;

[0047] Real-time monitoring of electromagnetic interference intensity in the path section, and if the intensity exceeds a preset threshold, triggering path replanning and generating an alternative path;

[0048] Display the planned path through the augmented reality navigation interface and set up a deviation correction mechanism;

[0049] The path cost function parameters are optimized according to the actual path execution data, and the weight coefficients are dynamically adjusted through reinforcement learning.

[0050] Optionally, the deviation correction mechanism includes:

[0051] When the deviation between the actual positioning and the planned path exceeds a first threshold, a vibration prompt and augmented reality arrow guidance are triggered;

[0052] When the deviation exceeds the second threshold, an audible and visual alarm and local path replanning are triggered;

[0053] When the deviation exceeds the third threshold, the job is forced to be suspended and wait for administrator authorization.

[0054] Compared with the prior art, the beneficial effects of the present invention include at least:

[0055] 1. The present invention solves the positioning drift and failure problems caused by the strong electromagnetic field in substations in the existing technology by integrating a multi-source positioning compensation module and combining UWB positioning, visual SLAM and electromagnetic interference sensors to dynamically calculate the compensation coefficient. It realizes real-time navigation with millimeter-level precision in the high-voltage equipment area, significantly improving the accuracy of maintenance path planning and operational safety.

[0056] 2. The present invention uses a dynamic permission control module to dynamically adjust the device operation permission level based on biometric credibility parameters and real-time electromagnetic environment credibility scores, solving the risks of excessive permission opening or unreasonable restriction in traditional static role allocation in complex electromagnetic environments, achieving flexibility and accuracy in permission allocation, and effectively reducing the probability of misoperation in live areas.

[0057] 3. The present invention constructs a benchmark feature library through the electromagnetic fingerprint matching module and compares electromagnetic data in real time, which solves the problem of safety assessment lag caused by dynamic changes in the electromagnetic environment in the existing technology, realizes real-time monitoring of electromagnetic interference and multi-level alarm triggering, and significantly improves the timeliness and reliability of environmental safety management and control during substation maintenance.

[0058] 4. The present invention improves the A-Star algorithm and integrates electromagnetic safety parameters with the path cost function, thereby solving the defect of traditional path planning that ignores the hazards of electromagnetic radiation, realizing dynamic obstacle avoidance and path optimization, giving priority to safe paths with low electromagnetic interference, and ensuring the safety and efficiency of maintenance personnel in high-voltage equipment areas. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] Figure 1 is a schematic diagram of a system architecture provided according to an embodiment of the present invention;

[0060] Figure 2 It is a flowchart of a method provided according to an embodiment of the present invention. DETAILED DESCRIPTION

[0061] To make the objectives, technical solutions, and advantages of the present invention more clear, the technical solutions of the present invention will be clearly and completely described below in conjunction with the accompanying drawings of the embodiments of the present invention. The described embodiments are only part of the embodiments of the present invention, not all of them. Based on the spirit of the present invention, all other embodiments obtained by ordinary technicians in this field without making any creative efforts are within the scope of protection of the present invention.

[0062] like Figure 1 As shown, the present invention provides a cloud platform-based full-process intelligent management and control system for substation maintenance in Example 1, which includes:

[0063] Collection layer, data layer, management layer, information layer and presentation layer;

[0064] The acquisition layer includes a solution entry module, an image acquisition module, a positioning module, and an electromagnetic fingerprint acquisition module, which are used to build digital twin maintenance templates and collect multi-source data. Specifically:

[0065] Plan entry module, used to enter maintenance plans, determine maintenance process information and maintenance personnel information;

[0066] Further preferably, the maintenance process information includes process name, process steps, operation location coordinates, process number and process requirements;

[0067] The image acquisition module is provided with a terminal app transmission interface for collecting and transmitting the working image of the working position coordinates;

[0068] Positioning module, used to obtain the real-time location of maintenance personnel;

[0069] Further preferably, the positioning module is connected to an information analysis unit for comparing the real-time position with the work position coordinates. If the real-time position is near any work position coordinate, the process number corresponding to the work position coordinate is obtained and a start label is generated. The process number and the label are combined to obtain label information.

[0070] It should be noted that in order to address the problems of easy errors in manual position verification and process disconnection during substation maintenance, the present invention automatically matches real-time coordinates with pre-stored operation positions to generate smart tags, thereby achieving precise control of process start and stop and avoiding the risk of accidentally entering live areas.

[0071] Electromagnetic fingerprint collection module, deployed in equipment areas of various voltage levels, used to collect electromagnetic signatures of the equipment areas;

[0072] Further preferably, the electromagnetic fingerprint matching module includes:

[0073] The reference feature library unit stores the steady-state electromagnetic fingerprint data of equipment areas at different voltage levels;

[0074] Dynamic comparison unit calculates the deviation between real-time electromagnetic characteristic data and reference data, and outputs the electromagnetic environment credibility score based on the deviation interval;

[0075] The safety threshold unit presets electromagnetic safety thresholds corresponding to different voltage levels, and triggers the alarm module when the real-time electromagnetic characteristic data exceeds the safety threshold.

[0076] It is worth emphasizing that in order to solve the problem of positioning drift caused by strong electromagnetic fields, the present invention deploys special acquisition devices in each voltage equipment area to construct a dynamic electromagnetic characteristic map to provide an anti-interference benchmark for subsequent positioning compensation.

[0077] The data layer is used to implement standardized processing, feature fusion, and intelligent analysis of multi-source data, including:

[0078] Image storage module, intelligent image review module, electromagnetic fingerprint matching module, multi-source positioning compensation module and information generation module;

[0079] The image storage module is used to store the operation images in a standardized manner and to establish a spatiotemporal index, including timestamps and GPS coordinates.

[0080] The intelligent image review module is used to automatically review the compliance of the job through multimodal comparison (structure + semantics) and output a similarity score;

[0081] Preferably, the system includes a feature extraction unit, a process identification unit and a gallery mapping unit, wherein:

[0082] The feature extraction unit is configured to extract structured multimodal features of the job image;

[0083] The process identification unit is configured to identify the type of the work process in the image;

[0084] The image library mapping unit is configured to dynamically associate with the standard image library and calculate the similarity.

[0085] It should be pointed out that, in order to address the blind spots in the review of images of operations under complex lighting conditions in substations, the present invention integrates structural features and semantic analysis to accurately identify typical violations in high-voltage equipment areas, such as missing tools and wrong steps.

[0086] The electromagnetic fingerprint matching module is used to calculate the matching degree between the real-time electromagnetic signal and the reference library and output a dynamic credibility score.

[0087] The multi-source positioning compensation module integrates a UWB positioning unit, a visual SLAM unit and an electromagnetic interference sensor. The electromagnetic interference sensor is used to collect the industrial frequency magnetic field strength value and dynamically calculate the electromagnetic interference compensation coefficient based on the voltage level. It performs error correction on the fused positioning data and outputs the positioning coordinate data after error compensation.

[0088] It should be noted that, in order to address the UWB multipath error and visual SLAM failure problems caused by metal structures, the present invention introduces an electromagnetic interference compensation coefficient to dynamically correct the positioning data to meet the millimeter-level navigation requirements of the 500kV equipment area.

[0089] The information generation module is used to aggregate the audit results, positioning data and electromagnetic characteristics to generate a structured operation log.

[0090] The management layer is used to implement the core control logic and dynamic decision-making of operational security, including the identity authentication module, permission control module, and positioning status decision module;

[0091] The identity verification module is used to verify the facial information of the maintenance personnel and generate a verification result;

[0092] Specifically, facial information verification is achieved using existing facial recognition technology;

[0093] The identity verification module is used to perform multi-factor identity authentication, and outputs a maintenance personnel identity credibility score based on the joint verification of biometrics (fingerprint / face) and electromagnetic fingerprint matching results;

[0094] It should be noted that, in order to address the technical problem of biometric distortion caused by strong magnetic field interference in substations, the present invention innovatively introduces real-time electromagnetic fingerprint data from the equipment area into authentication decisions, and significantly improves the robustness of the identity authentication system in complex electromagnetic environments by dynamically adjusting the biometric matching threshold.

[0095] The dynamic authority control module is used to dynamically allocate device operation permissions, calculate dynamic authority weights based on identity credibility scores, permission levels, and real-time electromagnetic safety levels, and generate device control instruction sets;

[0096] The positioning state decision module is used to integrate positioning error data and electromagnetic environment matching degree, control the enable / lock state of the positioning module through a dual-threshold judgment model, and send safety constraint parameters to the path planning system.

[0097] The information layer is used to achieve situational awareness, intelligent analysis, and collaborative decision-making throughout the entire operation process. It also detects abnormal conditions and sends alerts to maintenance personnel based on the operation status and the real-time location of maintenance personnel.

[0098] The information layer includes a status monitoring module, a dynamic path planning module, a process alarm module, a status statistics module and an evaluation alarm module;

[0099] The status monitoring module is used to collect equipment status (temperature / humidity / current) and operation progress in real time and generate dynamic equipment topology data;

[0100] Preferably, the condition monitoring module includes a sensor network and a SCADA system.

[0101] The dynamic path planning module generates the optimal operation path through the improved A-Star algorithm based on dynamic equipment topology data, real-time error-compensated positioning data and electromagnetic safety level;

[0102] Preferably, the dynamic path planning module includes:

[0103] Device topology parsing unit, used to build a graph structure database;

[0104] Real-time obstacle avoidance algorithm unit for dynamic path optimization.

[0105] The process alarm module triggers multi-level alarms according to preset rules and supports multi-modal responses such as sound and light / vibration / message push.

[0106] The status statistics module is used to aggregate historical operation data and calculate key indicators, including average operation time, equipment utilization and abnormal frequency.

[0107] The assessment and alarm module is used to generate a comprehensive safety assessment report based on the image review results, process compliance score, and electromagnetic safety value.

[0108] The presentation layer is equipped with a terminal app display interface for receiving and issuing alarm prompts, making it convenient for maintenance personnel to view them on the terminal app.

[0109] Preferably, the terminal app display interface supports the HTTPS protocol, and the data encapsulation format adopts Protocol Buffers.

[0110] In Example 2, the present invention provides a method for implementing full-process intelligent management and control of substation maintenance based on a cloud platform. Based on the system for implementing full-process intelligent management and control of substation maintenance based on a cloud platform described in Example 1, the method includes the following steps:

[0111] Step 1: Create a digital twin maintenance template through the scheme entry module, bind the three-dimensional spatial coordinates of the substation equipment, and generate a structured data file containing the mapping relationship between process steps, operation location coordinates, and electromagnetic fingerprint collection points.

[0112] Preferably, the step 1 comprises:

[0113] Step 1.1: Import the 3D point cloud model of the substation equipment through the scheme input module and create a spatial topology diagram of the equipment including the WGS-84 coordinate system based on the BIM system.

[0114] Step 1.2: assign a unique hash identifier to each maintenance process step and associate the work location coordinates with the equipment ID for storage;

[0115] Step 1.3: Generate a structured data file in XML format, which contains the encrypted process number-coordinate mapping relationship and electromagnetic fingerprint collection point topology data.

[0116] Further preferably, in step 1.3, the encryption process adopts the SHA-256 algorithm, which specifically includes:

[0117] Perform a hash operation on the combined string of process number and job location coordinates;

[0118] Write the hash value as the data integrity check code into the XML file header.

[0119] Step 2: Based on the structured data file, the maintenance personnel's real-time location perception is used to trigger the synchronous collection of multi-source data. The multi-source data includes image data, positioning data integrated with UWB and visual SLAM, and electromagnetic fingerprint data. Intelligent image review, multi-source positioning compensation, and electromagnetic safety assessment are performed respectively to generate image compliance scores, integrated positioning coordinate data, and electromagnetic environment credibility scores.

[0120] Preferably, in step 2, triggering the synchronous collection of multi-source data through the real-time location perception of the maintenance personnel includes:

[0121] Based on the structured data file, the position of the maintenance personnel is monitored in real time through the positioning module. When it is detected that the deviation from the coordinates of any work position is less than the preset threshold, the image acquisition module of the acquisition layer is triggered to obtain the work image of the corresponding coordinate point, and the electromagnetic fingerprint acquisition device bound to the coordinate point is activated to synchronously collect electromagnetic data.

[0122] Preferably, in step 2, performing intelligent image review to generate an image compliance score includes:

[0123] Through the intelligent image review module of the data layer, a pre-trained convolutional neural network (CNN) is used to extract the multi-scale structural features of the job image and generate a feature vector ;

[0124] Combined with the natural language processing (NLP) model to parse the text instructions of the operation steps and generate semantic vectors ;

[0125] Calculating image compliance scores :

[0126]

[0127] when An image review alarm is triggered.

[0128] Preferably, in step 2, performing multi-source positioning compensation to generate fused positioning coordinate data includes:

[0129] UWB positioning data and visual SLAM positioning data Use Kalman filter for fusion to generate initial fusion data:

[0130]

[0131] Among them, the weight coefficient and Dynamically adjust according to the positioning error to ensure that the sum of the two is 1. For example, they can be set to 0.7 and 0.3 respectively;

[0132] Based on the power frequency magnetic field strength value B collected by the electromagnetic interference sensor, calculate the electromagnetic environment interference compensation coefficient:

[0133]

[0134] in, To preset safety threshold;

[0135] Perform electromagnetic interference compensation on the initial fusion data and output the final positioning coordinates:

[0136]

[0137] The compensation coefficient k is determined according to the substation voltage level, and illustratively satisfies:

[0138]

[0139] Preferably, in step 2, performing electromagnetic safety assessment and generating an electromagnetic environment credibility score includes:

[0140] Through the electromagnetic fingerprint matching module of the data layer, the electromagnetic fingerprint data collected in real time is Compared with the standard value in the electromagnetic fingerprint reference feature library Perform dynamic comparison and calculate the electromagnetic environment offset:

[0141]

[0142] Generate an electromagnetic environment credibility score based on preset safety threshold rules ;

[0143] The electromagnetic fingerprint reference feature library is constructed in the following way:

[0144] In view of the differences in electromagnetic characteristics of equipment areas at different voltage levels, steady-state electromagnetic fingerprint data of equipment areas at each voltage level are collected under normal operating conditions of substation equipment;

[0145] Perform cluster analysis on historical electromagnetic data using a Gaussian mixture model to extract the electromagnetic feature distribution after removing equipment aging noise, and generate standard values ​​of the electromagnetic features of the equipment area. ;

[0146] The standard value is bound to the operation position coordinate in the structured data file and stored, a ternary mapping relationship of voltage level-coordinate-electromagnetic feature is established, and an electromagnetic fingerprint reference feature library is generated.

[0147] It should be noted that, in order to address the problem of interference from equipment aging in manual data collection, the present invention extracts steady-state features through historical data clustering and establishes an electromagnetic reference library that adapts to the entire life cycle of the substation.

[0148] Preferably, step 2 also includes, when the UWB / SLAM positioning data fails continuously for more than 5 seconds, calling the device space topology map established in step 1, calculating the virtual coordinates through the Dijkstra algorithm and downgrading the navigation accuracy to 0.5m, and adding an abnormal mark to the data file, and automatically switching back to the multi-source fusion mode after the signal is restored.

[0149] It is worth noting that in order to address the problem of positioning interruption caused by extreme interference, the present invention uses BIM topology data to generate virtual coordinates to maintain the continuity of key maintenance steps in the 500kV equipment area; it reuses existing BIM data and seamlessly connects it with the main process, which can meet the reliability requirements of industrial scenarios.

[0150] Step 3: Based on the biometric credibility parameters generated by the identity authentication module, the dynamic authority control module calculates the comprehensive credibility and dynamically allocates the device operation authority level.

[0151] Preferably, in step 3, the biometric credibility scoring parameters are generated based on the identity authentication module:

[0152] The facial recognition terminal collects facial images of maintenance personnel, calls the pre-trained ResNet-50 model of the identity verification module to extract 128-dimensional feature vectors, and performs cosine similarity comparison with the biometric templates stored in the structured data file to generate biometric credibility parameters:

[0153]

[0154] in, represents the i-th component of the 128-dimensional feature vector extracted by the pre-trained ResNet-50 model from the maintenance personnel's facial image collected by the face recognition terminal; Represents the i-th component of the biometric template (corresponding to the facial image feature vector) pre-stored in the structured data file;

[0155] when The secondary verification process is triggered when the user is logged in, such as through fingerprint / iris verification.

[0156] Preferably, in step 3, calculating the comprehensive credibility by the dynamic authority control module includes:

[0157] Electromagnetic environment credibility score based on the output of step 2 , generate electromagnetic fingerprint matching degree through linear mapping:

[0158]

[0159] when When the system is in operation, the current authority calculation process will be automatically frozen and the electromagnetic environment review will be started;

[0160] Call the pre-trained weight coefficient matrix of the dynamic permission control module and dynamically calculate the comprehensive credibility based on historical operation data (number of correct operations / total number of operations):

[0161]

[0162] Among them, the weight coefficient and Obtained through Logistic regression model training, illustratively, the values ​​can be 0.6 and 0.4 respectively.

[0163] Preferably, in step 3, dynamically allocating device operation authority levels includes:

[0164] Dynamic allocation of device operation permissions is performed based on the comprehensive credibility T calculated in real time:

[0165]

[0166] The control strategies corresponding to each permission level include:

[0167] The first level of authority grants full device operation authority and releases the physical locking device;

[0168] The second level of authority enables a virtual fence, including restrictions on the operation of equipment above 220kV and requiring double-check confirmation for key operations;

[0169] The third level of authority automatically locks the device interface, including cutting off the device control signal, activating the sound and light alarm and SMS push notification.

[0170] Preferably, the step 3 further includes:

[0171] The permission allocation results are associated with spatiotemporal information and stored in a structured data file, including aggregating audit results, positioning data, and electromagnetic characteristics to generate a structured job log.

[0172] Step 4: Dynamic operation path planning is performed based on the authority level and fused positioning coordinate data, and closed-loop optimization is achieved through multi-level safety thresholds.

[0173] Preferably, step 4 includes:

[0174] Step 4.1: Dynamically restrict the operation area based on the permission level and build a multi-constraint topology model.

[0175] Further preferably, the constructing of the multi-constraint topology graph model includes:

[0176] (1) Determine the input parameters of the multi-constraint topology model, including:

[0177] First to third authority levels, integrated positioning coordinate data and electromagnetic environment credibility score ;

[0178] (2) Construct topology optimization rules, including the correspondence between permission levels and permitted operating areas:

[0179] Maintenance personnel of the first level of authority are allowed to enter equipment areas of 500kV and below and non-live working areas;

[0180] Maintenance personnel of the second level of authority are allowed to enter equipment areas of 220kV and below voltage levels and non-live working areas;

[0181] Maintenance personnel of the third level of authority are only allowed to enter non-live working areas;

[0182] Wherein, the voltage level threshold is determined based on regression analysis of historical accident data;

[0183] (3) Dynamic weight optimization:

[0184] Optimize path cost function parameters based on Monte Carlo simulation:

[0185]

[0186] in, is the standard deviation of positioning error, is the average power frequency magnetic field strength value of the path segment ij, and the weight coefficient and Can be set to 0.7 and 0.3 respectively.

[0187] In step 4.2, the improved A-Star algorithm is used to generate the path, and the cost function integrates the positioning error, electromagnetic safety and distance factors.

[0188] Preferably, the step 4.2 includes:

[0189] Define the path cost function:

[0190]

[0191] in, , is the cumulative topological weight; is the Euclidean distance heuristic function; is the electromagnetic safety penalty factor, which is determined by optimizing the accident data regression analysis. For example, it can be set to 0.5. is the historical maximum power frequency magnetic field strength value of the section where node n is located;

[0192] Set dynamic obstacle avoidance threshold: When the power frequency magnetic field strength value of the path section is monitored in real time , triggering path re-planning; illustratively, ;

[0193] It should be noted that traditional A-Star only considers distance costs, while the present invention adds an electromagnetic safety penalty item and prioritizes paths with lower electromagnetic interference. To address the problem that traditional path planning ignores the hazards of electromagnetic radiation, the present invention introduces a safety penalty factor into the algorithm to automatically avoid excessive electromagnetic fields in the 500kV area, ensuring the safety of maintenance personnel.

[0194] Step 4.3: Real-time monitoring of the electromagnetic environment credibility score and triggering of multi-level obstacle avoidance responses.

[0195] Preferably, the step 4.3 includes:

[0196] Real-time monitoring of the credibility score of the electromagnetic environment of the path nodes If the electromagnetic environment credibility score is less than 60, the pre-calculated backup path is started; if the electromagnetic environment credibility score is less than 40, the current path is forcibly terminated and replanning is activated.

[0197] Step 4.4: Ensure path execution accuracy through AR navigation and correction mechanism.

[0198] Preferably, the correction mechanism includes:

[0199] Calculate the deviation between the maintenance personnel's location and the planned path. When the deviation is greater than 0.3m, a vibration prompt and AR arrow guidance are triggered. When the deviation is greater than 0.5m, an audible and visual alarm and local path replanning are triggered. When the deviation is greater than 1m, the system is forced to pause and wait for administrator authorization.

[0200] Step 4.5: Optimize the path cost function based on the actual path data, and write the actual path data into a structured data file.

[0201] Further preferably, the step 4.5 includes:

[0202] Calculate the path effectiveness evaluation coefficient:

[0203]

[0204] in, is the actual path segment weight, is the planning path segment weight, when Model updates are triggered when , including dynamic adjustment of weight coefficients through reinforcement learning:

[0205]

[0206] Write the actual path data and electromagnetic safety parameters back to the structured data file to generate a path optimization knowledge graph.

[0207] Electromagnetic safety parameters are deeply integrated through four dimensions: weight calculation, path cost function, obstacle avoidance threshold, and knowledge graph storage, realizing closed-loop control from environmental perception → path decision → safe execution.

[0208] Step 5: Based on the structured job log, the status statistics module calculates equipment utilization and abnormal frequency related indicators, generates a comprehensive safety assessment report, and pushes it to the terminal app.

[0209] The present disclosure may be a system, method and / or computer program product. The computer program product may include a computer-readable storage medium carrying computer-readable program instructions for causing a processor to implement various aspects of the present disclosure.

[0210] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered by the scope of protection of the claims of the present invention.

Claims

1. A cloud-based intelligent management and control system for the entire substation maintenance process, characterized by: The system includes: Collection layer, data layer, management layer, information layer and presentation layer; The acquisition layer includes a scheme entry module, an image acquisition module, a positioning module and an electromagnetic fingerprint acquisition module, which are used to build a digital twin maintenance template and collect multi-source data, wherein the scheme entry module is used to enter the maintenance scheme and bind the three-dimensional spatial coordinates of the substation equipment, generate a structured data file containing process steps, operation position coordinates and electromagnetic fingerprint acquisition point mapping relationships, and is used to build a digital twin maintenance template; the image acquisition module, the positioning module and the electromagnetic fingerprint acquisition module are used to collect operation images, positioning data and electromagnetic fingerprint data; the multi-source data includes operation images, positioning data and electromagnetic fingerprint data, wherein the positioning data includes UWB positioning data and visual SLAM positioning data; The data layer includes an intelligent image review module, a multi-source positioning compensation module and an electromagnetic fingerprint matching module, which are used to realize the fusion analysis and error compensation of multi-source data, including: the intelligent image review module is used to perform compliance review on the operation image to generate an image compliance score, the multi-source positioning compensation module is used to fuse and compensate the error of UWB positioning data and visual SLAM positioning data to generate fused positioning coordinate data, and the electromagnetic fingerprint matching module is used to perform security assessment on the electromagnetic fingerprint data to generate an electromagnetic environment credibility score; The management layer includes a dynamic authority control module and a positioning status decision module, which are used to assign device operation permissions based on biometrics and electromagnetic environment credibility scores, wherein the dynamic authority control module includes: The biometric verification unit is used to collect the maintenance personnel's biometric data through face or fingerprint recognition, perform similarity comparison with the biometric template pre-stored in the structured data file, and generate biometric credibility parameters; The dynamic weight calculation unit calculates the comprehensive credibility based on the biometric credibility parameter and the electromagnetic environment credibility score generated by the electromagnetic fingerprint matching module using a preset weight coefficient, wherein the calculation of the electromagnetic environment credibility score includes: is the electromagnetic environment deviation, is the electromagnetic fingerprint data, The electromagnetic fingerprint is the standard value in the reference feature library, and then the electromagnetic environment credibility score is generated according to the preset security threshold rules; The authority allocation unit dynamically allocates the device operation authority level according to the comprehensive credibility, including full authority mode, restricted mode and locked mode; The information layer includes a dynamic path planning module and an assessment and alarm module for generating the optimal operation path and triggering multi-level safety alarms; The presentation layer implements visual interaction and alarm prompts through the terminal interface.

2. The cloud-based intelligent management and control system for substation maintenance according to claim 1 is characterized by: The multi-source positioning compensation module includes: It integrates a UWB positioning unit, a visual SLAM unit and an electromagnetic interference sensor. The electromagnetic interference sensor is used to collect the power frequency magnetic field strength value, dynamically calculate the electromagnetic interference compensation coefficient based on the voltage level, and perform error correction on the fused positioning data.

3. The cloud-based intelligent management and control system for substation maintenance according to claim 1 is characterized by: The electromagnetic fingerprint matching module includes: The reference feature library unit stores the steady-state electromagnetic fingerprint data of equipment areas at different voltage levels; Dynamic comparison unit calculates the deviation between real-time electromagnetic characteristic data and reference data, and outputs the electromagnetic environment credibility score based on the deviation interval; The safety threshold unit presets electromagnetic safety thresholds corresponding to different voltage levels and triggers an alarm when the real-time electromagnetic characteristic data exceeds the safety threshold.

4. A cloud-based platform-based intelligent management and control method for the entire process of substation maintenance, based on a cloud-based platform-based intelligent management and control system for the entire process of substation maintenance according to any one of claims 1 to 3, characterized in that: The steps include: Establish a digital twin maintenance template, bind the three-dimensional spatial coordinates of the substation equipment, and generate a structured data file containing the mapping relationship between process steps, operation location coordinates, and electromagnetic fingerprint collection points; Based on the structured data file, the real-time location of the maintenance personnel is sensed to trigger the synchronous collection of multi-source data, including: real-time monitoring of the maintenance personnel's positioning data and comparison with the pre-stored work position coordinates in the structured data file; when the deviation between the real-time position and any pre-stored work position coordinates is less than a preset threshold, triggering the image acquisition module to obtain the work image of the corresponding coordinate point, and activating the electromagnetic fingerprint acquisition device bound to the coordinate point to synchronously collect electromagnetic fingerprint data; wherein the positioning data includes UWB positioning data and visual SLAM positioning data; The collected operation images, positioning data, and electromagnetic fingerprint data are intelligently audited, error compensated, and safety assessed to generate image compliance scores, fused positioning coordinate data, and electromagnetic environment credibility scores. The fused positioning coordinate data is generated by fusing the UWB positioning data with the visual SLAM positioning data using a Kalman filter, and then corrected based on the electromagnetic interference compensation coefficient. The electromagnetic environment credibility score is generated by calculating the electromagnetic environment offset between the electromagnetic fingerprint data and the standard value in the electromagnetic fingerprint benchmark feature library, and then combining it with preset safety threshold rules. Dynamically assign equipment operation authority levels to maintenance personnel based on biometric credibility parameters and electromagnetic environment credibility scores; Based on the permission level and the fused positioning coordinate data, a dynamic operation path is generated through the improved A-Star algorithm. When the electromagnetic interference intensity of the path section exceeds the preset threshold in real-time monitoring, the path replanning is triggered. Aggregate job log data, generate comprehensive security assessment reports, and push them to terminal applications.

5. The method for implementing full-process intelligent management and control of substation maintenance based on a cloud platform according to claim 4 is characterized in that: The establishment of the digital twin maintenance template includes: Import the 3D point cloud model of substation equipment and create the equipment space topology map; Assign a unique hash identifier to each maintenance process step and store the work location coordinates in association with the equipment ID; Generate a structured data file containing the encrypted process number-coordinate mapping relationship and electromagnetic fingerprint collection point topology data.

6. The method for implementing full-process intelligent management and control of substation maintenance based on a cloud platform according to claim 4 is characterized in that: The equipment operation authority level dynamically allocated to maintenance personnel based on biometric credibility parameters and electromagnetic environment credibility scores includes: Collect the maintenance personnel's biometric data, compare it with the pre-stored feature templates for similarity, and generate biometric credibility parameters; Linear mapping of electromagnetic environment credibility scores to generate electromagnetic fingerprint matching degree; Based on the biometric credibility score, electromagnetic fingerprint matching degree and historical operation accuracy, a comprehensive credibility is calculated using a preset weight coefficient matrix; Dynamically assign permission levels based on comprehensive credibility, including full permission mode, restricted mode, and locked mode; The full authority mode is to open all equipment operation permissions and release the physical locking device; The restricted mode is to enable a virtual fence, including limiting the operation of equipment above 220kV; The locking mode is to automatically lock the device interface.

7. A cloud platform-based intelligent management and control method for the entire substation maintenance process according to claim 6, characterized in that: The generation of a dynamic operation path by improving the A-Star algorithm and real-time monitoring of electromagnetic safety values ​​to trigger path optimization include: Construct a multi-constraint topology model with input parameters including permission level, fused positioning coordinate data, and electromagnetic environment credibility score; defining a path cost function, the function integrating cumulative topological weight, Euclidean distance heuristic function and electromagnetic safety penalty factor; Real-time monitoring of electromagnetic interference intensity in the path section, and if the intensity exceeds a preset threshold, triggering path replanning and generating an alternative path; Display the planned path through the augmented reality navigation interface and set up a deviation correction mechanism; The path cost function parameters are optimized according to the actual path execution data, and the weight coefficients are dynamically adjusted through reinforcement learning.

8. The method for implementing full-process intelligent management and control of substation maintenance based on a cloud platform according to claim 7 is characterized by: The deviation correction mechanism includes: When the deviation between the actual positioning and the planned path exceeds a first threshold, a vibration prompt and augmented reality arrow guidance are triggered; When the deviation exceeds the second threshold, an audible and visual alarm and local path replanning are triggered; When the deviation exceeds the third threshold, the job is forced to be suspended and wait for administrator authorization.

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