Grounding line sensing method based on electric quantity time sequence analysis

Abstract

The invention discloses a grounding line sensing method based on charged quantity time sequence analysis, and the method achieves the precise judgment of whether equipment is charged or not through collecting the current, voltage, three-dimensional coordinates and other key parameters of a grounding line in real time, and combining the time sequence data analysis of the charged quantity, avoids the mistaken dismounting risk caused by instantaneous fluctuation or misjudgment, and improves the reliability of the grounding line. And the judgment accuracy of the dismantling link and the operation decision scientificity are effectively improved. According to the method, information of a power grid graph platform and a power transmission topological structure is fully fused, a space risk association graph between an operation hanging point and adjacent equipment is constructed, an electrified risk area is dynamically evaluated, personnel positioning information is overlaid, and whether operators are in a safe distance range or not is comprehensively judged. According to the mechanism, dynamic linkage and combined judgment of multi-source information are realized, and the space risk identification and safety management and control capabilities of a working site are remarkably enhanced.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of power system operation safety monitoring, and particularly relates to a grounding line sensing method based on charged quantity time sequence analysis. BACKGROUND

[0002] In the current power system field operation, especially in the distribution network operation process, grounding operation as a key link to ensure operation safety, the standardization and accuracy of its execution process are directly related to personal safety and system stability. In order to implement the management requirements of "two votes and three systems", power grid enterprises generally rely on operation tickets to record and review grounding operation, but in actual execution, there are still a large number of manual judgment and manual recording, lack of intelligent discrimination mechanism based on data driving, resulting in inaccurate grounding state identification, incomplete operation risk assessment, and frequent problems such as poor quality of ticket information filling. Especially in the removal of grounding line, the operator often needs to judge whether the equipment is live and whether the personnel are in a safe distance according to experience, which has obvious subjectivity and uncertainty.

[0003] In the existing operation process, although some areas have begun to deploy intelligent grounding sensing methods, most of the methods only realize position reporting and hanging state sensing, lack of historical time sequence analysis function of electrical state, and cannot effectively identify the live fluctuation of equipment in a short time, thereby affecting the judgment accuracy of whether the grounding line can be removed. At the same time, the current method generally fails to establish the correlation between the hanging point spatial coordinates and the power grid graph topology, making it difficult to form a calculable risk model, so it is impossible to combine the conductor topology, electrical connection state and the risk of adjacent conductors to conduct comprehensive evaluation. SUMMARY

[0004] In order to solve the problems existing in the prior art, the application provides a grounding line sensing method based on charged quantity time sequence analysis.

[0005] The technical scheme of the application is as follows:

[0006] A grounding line sensing method based on charged quantity time sequence analysis, comprising:

[0007] Step 1) obtaining real-time sensing data of the grounding line and preprocessing the sensing data; the sensing data includes hanging point three-dimensional coordinates, hanging state information, current value and voltage value of the grounding line;

[0008] Step 2) matching the hanging point three-dimensional coordinates with the pre-labeled standard hanging point three-dimensional coordinates in space, obtaining the hanging point position matching state and performing risk warning based on the hanging point position matching state;

[0009] Step 3) constructing a time series according to the current value and the voltage value, performing segmented analysis on the time series, extracting a characteristic parameter related to the live state, obtaining a grounding wire live state result based on the characteristic parameter, and generating an electrical safety state report in combination with the hanging point state information;

[0010] Step 4) obtaining the spatial layout and electrical connection relationship of the hanging point and its adjacent towers and conductors, calibrating the associated conductors and equipment with live risk, and forming a spatial risk association graph;

[0011] Step 5) calculating the three-dimensional spatial distance between the position coordinates of the on-site operation personnel and the hanging point, judging whether the on-site operation personnel are within a preset safe distance range, and generating a personnel safety state label;

[0012] Step 6) determining whether the preset grounding wire removal determination condition is met according to the hanging point position matching state, the grounding wire live state result, and the personnel safety state label;

[0013] Step 7) generating a three-dimensional visualization image of the grounding wire removal in combination with the on-site state information and the spatial risk association graph after the preset grounding wire removal determination condition is met.

[0014] Further, the specific method of step 2) includes:

[0015] Step 21) presetting standard hanging point information for each grounding operation task, the standard hanging point information including a unique identification number of a hanging device, a power topology node identification corresponding to a tower, a standard hanging point three-dimensional coordinate, and a maximum offset tolerance threshold range;

[0016] Step 22) obtaining a hanging point three-dimensional coordinate in the perception data, the hanging point three-dimensional coordinate including longitude, latitude, and hanging height;

[0017] Step 23) matching a corresponding grounding operation task with the unique identification number of the hanging device corresponding to the grounding line and the power topology node identification corresponding to the tower, thereby obtaining the standard hanging point information of the corresponding grounding operation task of the perception data, comparing the hanging point three-dimensional coordinate with the standard hanging point three-dimensional coordinate dimension by dimension, respectively calculating the longitude difference value, the latitude difference value, and the hanging height difference value, and thereby generating a spatial offset vector;

[0018] Step 24) performing a module length calculation on the spatial offset vector and comparing it with the maximum offset tolerance threshold range, if the module length is within the maximum offset tolerance threshold range, the hanging point position matching state is determined to be that the hanging point is a valid hanging point in accordance with the hanging specification, otherwise it is determined to be an abnormal hanging point;

[0019] Step 25) if it is determined to be an abnormal hanging point, triggering a risk alarm mechanism to perform risk alarm.

[0020] Further, the specific method of step 3) comprises:

[0021] Step 31) According to the current value and voltage value in the perception data, the time sequence of the charged quantity is constructed in sequence according to the time stamp;

[0022] Step 32) The time sequence of the charged quantity is preprocessed to form a standardized time sequence of the charged quantity, and the preprocessing includes abnormal data elimination, time sequence completion, value smoothing and trend unification processing;

[0023] Step 33) The standardized time sequence is analyzed, divided into a plurality of continuous analysis windows according to the time dimension, and the feature parameters related to the charged state are extracted in each analysis window, and the feature parameters related to the charged state include current value, voltage value and current change rate;

[0024] Step 34) According to the feature parameters related to the charged state extracted in each analysis window and the preset charged state judgment rule, the temporary charged state label of each analysis window corresponding time segment is output;

[0025] Step 35) The temporary charged state labels of a plurality of continuous analysis windows are aggregated and analyzed, the charged state label of each analysis window is counted, the charged frequency is calculated, and whether it is a continuous charged state is judged in combination with the set charged frequency threshold value, if the charged frequency threshold value is reached, the ground line charged state result is charged state, otherwise the ground line charged state result is not charged state;

[0026] Step 36) The current charged state result obtained by judgment is combined with the hanging state information to form a structured electrical safety state report.

[0027] Further, the specific method of step 4) comprises:

[0028] Step 41) Based on the transmission line topology structure data, the unique identifier of the target grounding operation task, the line number and the topology upstream and downstream connection relationship are obtained;

[0029] Step 42) Based on the three-dimensional coordinates of the hanging point, all adjacent tower nodes and conductor nodes within the set radius are screened out from the graphic platform according to the spatial correlation range;

[0030] Step 43) The electrical communication graph is constructed for the target operation tower node and the adjacent tower node, and the conductor segment and all charged element nodes existing electrical correlation with the target operation tower are identified by the graph structure analysis method;

[0031] Step 44) In combination with the real-time running state information of each node of the electrically connected elements in the electrically connected map, the current running voltage level, conduction state and load information of each conductor segment are obtained, and the associated conductors and equipment with electrification risk are marked to form a set of electrification risk nodes;

[0032] Step 45) The set of electrification risk nodes is associated with the angle, distance and associated path between the spatial positions of the hanging points to form a spatial risk association map of the current target operation tower node and the electrified part.

[0033] Further, the specific method of step 5) includes:

[0034] Step 51) Obtain the position coordinates of the field operation personnel;

[0035] Step 52) Compare the position coordinates of the field operation personnel with the three-dimensional coordinates of the hanging points to calculate the spatial distance between the field operation personnel and the hanging points, including the horizontal projection distance and the vertical height difference distance;

[0036] Step 53) According to the target operation tower node, the target device voltage level and the meteorological conditions, determine the corresponding safety control threshold interval, and compare with the calculated spatial distance;

[0037] Step 54) If the spatial distance is within the safety control threshold interval, mark the personnel safety state label of the field operation personnel as safe and operable, otherwise mark as exceeding the safe distance.

[0038] Further, the specific method of step 6) includes:

[0039] Step 61) Take the hanging point position matching state, the grounding wire electrification state result and the personnel safety state label as the determination items to construct a data set for determining the removal condition;

[0040] Step 62) Compare in sequence whether the determination items in the data set all satisfy the preset grounding wire removal determination condition, the preset grounding wire removal determination condition including the hanging point position matching state being a valid hanging point meeting the hanging specification, the grounding wire electrification state result being a non-electrified state, and the personnel safety state label being safe and operable;

[0041] Step 63) If the determination items all satisfy the preset grounding wire removal determination condition, output the removal determination result as allowing removal; if any determination item does not satisfy, output the removal determination result as prohibiting removal.

[0042] Further, the specific method of step 7) includes:

[0043] Step 71) after meeting the preset ground wire removal determination condition, inputting the ground device hanging point three-dimensional coordinates, tower position, personnel position information and surrounding topology structure, a three-dimensional visualization model of ground wire removal is constructed;

[0044] Step 72) the three-dimensional visualization model is graphically annotated with ground wire, hanging position, operating personnel, tower equipment and adjacent conductor elements, and different colors are used to identify the ground state, risk level and operation role distribution during annotation;

[0045] Step 73) synchronously superimposing live risk area, safe operation range and personnel motion trajectory information;

[0046] Step 74) the construction result of the three-dimensional visualization model is packaged into a standard format graphic data file, and the key state frames before, during and after removal are extracted into a static image sequence to generate a complete operation three-dimensional view record.

[0047] Further, the preprocessing includes removing abnormal data caused by environmental interference using Gaussian filtering, filling missing data occurring during the collection process by mean interpolation, and performing Min-Max normalization processing.

[0048] Compared with the prior art, the present application has the following beneficial effects:

[0049] The present application proposes a grounding line sensing method based on live quantity time series analysis, which breaks through the limitations of traditional grounding operation relying on manual judgment, serious information island and disconnection between ticket system and field state, significantly improving the intelligent level and safety guarantee capability of the whole grounding operation process.

[0050] The method of the present application realizes accurate judgment of whether the equipment is live by real-time collection of key parameters such as current, voltage and three-dimensional coordinates of the grounding point, combined with time series data analysis of live quantity, avoids the risk of misremoval caused by instantaneous fluctuation or misjudgment, and effectively improves the discrimination accuracy and operation decision scientificity of the removal link.

[0051] The method of the present application fully integrates power grid graphic platform and power transmission topology structure information, dynamically assesses the live risk area by constructing a spatial risk correlation graph between the operation hanging point and the adjacent equipment, and superimposes personnel positioning information to comprehensively judge whether the operating personnel are within the safe distance range. This mechanism realizes dynamic linkage and joint discrimination of multi-source information, significantly enhances the spatial risk identification and safety control capability of the operation site.

[0052] The method of the application also generates a linkage mechanism with the two-ticket system relying on structured data, pushes the state perception result, the removal determination result and the three-dimensional view of the operation to the ticket system, automatically fills in the safety measure execution record and forms digital visual audit materials, breaks through the full-link closed loop from "equipment perception-state discrimination-ticket generation-process record", and greatly improves the standardization, timeliness and audit traceability of the operation ticket.

[0053] The method of the application adopts an integrated mechanism of perception, discrimination and graphic display, has good system expansibility and platform compatibility, can flexibly adapt to various voltage levels and different types of operation sites, realizes the leap of power grounding operation from static supervision to dynamic intelligent management and control, and has significant engineering application value and popularization prospect. BRIEF DESCRIPTION OF DRAWINGS

[0054] Figure 1 FIG. 1 is a flowchart of a grounding line perception method based on charged quantity time sequence analysis according to the application. DETAILED DESCRIPTION

[0055] The application will be further illustrated below in combination with the drawings and specific embodiments, and it should be understood that these embodiments are only used to illustrate the application and not to limit the scope of the application, and various modifications of the application by those skilled in the art after reading the application all fall within the scope defined by the appended claims.

[0056] Embodiment:

[0057] A grounding line perception method based on charged quantity time sequence analysis according to the application, as shown in FIG. 1, comprises the following steps: Figure 1

[0058] Step 1) Obtain real-time perception data of the grounding line, and the perception data comprises three-dimensional coordinates of a hanging point of the grounding line, hanging state information, a current value and a voltage value; the perception data can be collected by an intelligent grounding line terminal with a Beidou positioning, live detection and hanging identification module, and uploaded to a management platform through an Internet of Things communication module;

[0059] Step 2) Match the three-dimensional coordinates of the hanging point with the pre-labeled standard three-dimensional coordinates of the hanging point in space, obtain a hanging point position matching state, and perform risk warning based on the hanging point position matching state;

[0060] Step 3) Construct a time sequence according to the current value and the voltage value, perform segmented analysis on the time sequence, extract a feature parameter related to the live state, obtain a grounding line live state result based on the feature parameter, and generate an electrical safety state report in combination with the hanging state information;

[0061] ​Step 4) Obtain the spatial layout and electrical connection relationship of the connection point in the grounding line and its adjacent tower and conductor, calibrate the associated conductors and equipment with live-wire risk, and form a spatial risk association graph;

[0062] Step 5) Calculate the three-dimensional spatial distance between the position coordinates of the on-site operator and the connection point, judge whether the on-site operator is within the preset safe distance range, and generate a personnel safety state label;

[0063] Step 6) Determine whether the preset grounding line removal determination condition is met according to the connection point position matching state, the live-wire state result of the grounding line, and the personnel safety state label;

[0064] Step 7) After meeting the preset grounding line removal determination condition, generate a three-dimensional visualization image of the grounding line removal combined with the on-site state information and the spatial risk association graph.

[0065] The present application establishes a complete process composed of multiple steps of grounding perception collection, coordinate comparison, live-wire discrimination, risk identification, safe distance judgment, removal condition analysis, three-dimensional modeling and ticket linkage, and establishes a full-chain intelligent grounding operation management and control method from device state perception, operation environment research and judgment, personnel behavior control to ticket system feedback. This method not only realizes real-time dynamic perception and intelligent evaluation of the whole process of grounding operation, but also breaks the fault between "perception-management-control" of the existing system, realizes the fusion of software and hardware and the data closed loop, and effectively improves the safety, management standardization and operation digitization level of distribution operation.

[0066] Further, the preprocessing in step 1) includes removing abnormal data caused by environmental interference using Gaussian filtering, filling missing data occurring in the collection process through mean interpolation, and performing Min-Max normalization processing.

[0067] Further, the specific method of step 2) includes:

[0068] Step 21) Preset standard connection point information of each grounding operation task in the two-ticket system, and the standard connection point information includes unique identification number of the connected equipment, power topology node identification corresponding to the tower, standard connection point three-dimensional coordinates and maximum offset tolerance threshold range;

[0069] Step 22) Obtain the connection point three-dimensional coordinates in the perception data through the intelligent grounding terminal, and the connection point three-dimensional coordinates include longitude, latitude and connection height, and are attached with connection action timestamp and connection state confirmation identification;

[0070] Step 23) match the unique identification number of the hanging device corresponding to the grounding line to which the perception data belongs and the power topology node identification corresponding to the tower to the corresponding grounding operation task, thereby obtaining the standard hanging point information of the grounding operation task corresponding to the perception data, comparing the hanging point three-dimensional coordinates with the standard hanging point three-dimensional coordinates dimension by dimension, respectively calculating the longitude difference value, the latitude difference value and the hanging height difference value, and thereby generating a spatial offset vector;

[0071] Step 24) calculate the module length of the spatial offset vector and compare the calculated module length with the maximum offset tolerance threshold range, if the module length is within the maximum offset tolerance threshold range, the hanging point position matching state is determined to be a valid hanging point that meets the hanging specification, otherwise it is determined to be an abnormal hanging point;

[0072] Step 25) if it is determined to be an abnormal hanging point, automatically trigger a risk alarm mechanism through the two-ticket terminal to alarm the risk, prompt the operator to reconfirm the hanging position, prohibit the execution of the subsequent steps of grounding, until the hanging point is rechecked and qualified and re-collected and uploaded.

[0073] Step 26) bind the hanging point position matching state with the current work ticket in the two-ticket system, and write it into the safety measure execution record in the form of a flag bit, and upload the spatial offset vector, coordinate matching log and judgment result in the comparison process to the management platform for remote recording and risk audit.

[0074] By comparing the hanging position of the grounding line on site with the preset standard coordinates in the system in three-dimensional space, and setting a spatial tolerance threshold range for compliance judgment, the present application effectively solves the problems of randomness of the hanging point of the grounding line, high subjective judgment error of personnel, and poor standard execution in the prior art. The method improves the verifiability and standardization execution level of the hanging action through real-time coordinate collection and accurate spatial matching, and forms a closed-loop control logic combined with the two-ticket terminal, which can automatically trigger an alarm and block subsequent work when an abnormal hanging behavior is found, effectively reducing the risk of electrical work safety accidents caused by incorrect hanging position.

[0075] Further, the specific method of step 3) comprises:

[0076] Step 31) based on the current value and the voltage value in the perception data, sequentially arrange according to the time stamp, construct a time series of live quantity, and the time series data set includes multiple groups of electrical parameter records in a continuous time segment;

[0077] Step 32) pre-process the time series of live quantity to form a standardized time series of live quantity, the pre-processing includes abnormal data elimination, time series completion, value smoothing and trend unification processing;

[0078] Step 33) analyzing the standardized time series, dividing into multiple continuous analysis windows in the time dimension, extracting the characteristic parameters related to the live state in each analysis window, the characteristic parameters related to the live state including the current value, the voltage value and the current change rate, the current change rate being the current change amount per unit time;

[0079] Step 34) judging each window according to the characteristic parameters related to the live state extracted in each analysis window and the preset live state judgment rule, and outputting the temporary live state label of each analysis window corresponding time segment;

[0080] Step 35) aggregating and analyzing the temporary live state labels of multiple continuous analysis windows, the specific process being: counting the live state label of each analysis window, calculating the live frequency, judging whether it is a continuous live state according to the set live frequency threshold, if the live frequency threshold is reached, the ground line live state result is the live state, otherwise the ground line live state result is the non-live state;

[0081] Step 36) combining the current live state result obtained by judgment with the hanging state information to form a structured electrical safety state report, and uploading to the management platform.

[0082] The application breaks through the problem that the traditional static sampling judgment cannot identify the electrical state fluctuation by constructing the time sequence data structure of the live amount, extracting the multi-dimensional change characteristics of the current, voltage and other parameters, and making dynamic label judgment based on the analysis window. The discrimination mechanism has good time continuity and fluctuation sensitivity, can effectively find abnormal live state and short-time mutation signal, and improves the accuracy and robustness of the live state judgment of the grounded equipment. In engineering application, it can be used as an important data basis for whether the grounding is allowed, and provides a reliable criterion for the demolition operation, and ensures that the operation behavior meets the safety requirements.

[0083] Further, the specific method of step 4) includes:

[0084] Step 41) when the operation task is initialized, based on the transmission line topological structure data stored in the power grid graphical operation platform, obtaining the unique identifier of the target grounding operation task, the line number and the topological upstream and downstream connection relationship;

[0085] Step 42) based on the three-dimensional coordinates of the hanging point, all adjacent tower nodes and conductor nodes within the set radius are selected from the graphical platform according to the spatial correlation range;

[0086] Step 43) constructing an electrical connectivity graph for the target operation tower node and the adjacent tower node, and identifying the conductor segment and all live element nodes thereon which have electrical correlation with the target operation tower through a graph structure analysis method;

[0087] Step 44) In combination with the real-time running state information of each node of the charged element in the electrical connection map, the current running voltage level, conduction state and load information of each conductor segment are obtained, and the associated conductors and equipment with charged risk are marked to form a charged risk node set;

[0088] Step 45) The charged risk node set is associated with the angle, distance and associated path between the hanging points in the spatial position to form a spatial risk association map of the current target operation tower node and the charged part.

[0089] Step 46) The spatial risk association map is output in a structured data form and written into the safety risk assessment record of this grounding operation, and is synchronized to the two-ticket operation system.

[0090] By integrating with the power grid graphic platform, the transmission topology structure and spatial coordinate relationship are extracted, the graph-based risk association model between the operation point and the charged component is constructed, and the problem that the existing system cannot intuitively identify the spatial charged risk distribution and is difficult to perform regional operation evaluation is solved. The method supports spatial modeling based on coordinates and topology, and can output structured risk area map to provide clear and visual risk prediction reference for operation personnel. By identifying the position and state of the charged nodes such as high-voltage conductors and power terminals, the application improves the dimension and depth of the grounding operation environment perception, and provides key safety factors for subsequent decision-making.

[0091] Further, the specific method of step 5) includes:

[0092] Step 51) The latitude and longitude position coordinates of the field operation personnel are obtained by the mobile operation terminal positioning module carried by the operation personnel, and the time stamp and terminal identification code are automatically recorded;

[0093] Step 52) The position coordinates of the field operation personnel are compared with the three-dimensional coordinates of the hanging point, and the spatial distance between the field operation personnel and the hanging point is calculated, including the horizontal projection distance and the vertical height difference distance;

[0094] Step 53) A preset operation personnel safety distance judgment model is called, the corresponding safety control threshold interval is determined according to the target operation tower node, the target device voltage level and the meteorological condition, and the calculated spatial distance is compared;

[0095] Step 54) If the spatial distance is within the safety control threshold interval, the personnel safety state label of the field operation personnel is marked as safe and operable, otherwise it is marked as exceeding the safety distance and the grounding operation permission is locked.

[0096] Step 55) The current position of the operation personnel, the determination result and the related judgment parameters are combined into a structured position information package, which is uploaded to the two-ticket operation system and the material management platform in real time;

[0097] Step 56) If the determination result is "exceeding the safe distance", an alarm prompt interface is popped up through the operation terminal to prompt the operator to adjust the position or request on-site review, and the grounding or removal operation is prohibited until the alarm is removed.

[0098] The spatial positioning information of the operator is fused with the hitch point coordinates, and a dynamic comparison and judgment is performed in combination with the safety distance model under different operation situations, and the problems of opaque personnel behavior and delayed risk warning are effectively solved. The method realizes real-time constraint on the boundary of personnel behavior, and the system can immediately trigger an alarm when the personnel enter an unsafe area, thereby blocking the operation process and preventing electric shock accidents caused by personnel entering high-voltage areas. At the same time, the trajectory of the operator can be completely recorded and bound with the operation state, providing quantifiable basis for whole-process behavior auditing and responsibility tracing.

[0099] Further, the specific method of step 6) includes:

[0100] Step 61) The hitch point position matching state, the grounding wire live state result and the personnel safety state label are taken as the determination items, and a data set for determining the removal condition is constructed;

[0101] Step 62) A removal condition determination engine is called, and whether the determination items in the data set all satisfy the preset grounding wire removal determination condition is compared in sequence, the preset grounding wire removal determination condition including that the hitch point position matching state is a valid hitch point meeting the hitch specification, the grounding wire live state result is a non-live state, and the personnel safety state label is a safe and operable state;

[0102] Step 63) If the determination items all satisfy the preset grounding wire removal determination condition, the removal determination result is output as "allowing removal", and a removal operation suggestion is automatically generated; if any determination item does not satisfy, the removal determination result is output as "prohibiting removal", and the specific reasons for not satisfying are marked.

[0103] Step 64) The removal determination result and the state parameters in the judgment process are packaged into a structured removal analysis report, uploaded to the property management platform, and written into the two-ticket system operation process record at the same time;

[0104] Step 65) If the removal condition is "prohibiting removal", a system prompt interface is triggered through the operation terminal, an unremovable alarm is pushed to the operator, and the subsequent operation process is suspended, requiring manual review or waiting for the state to recover to the compliance condition.

[0105] The invention matches the position of the hanging point, the result of the live line state and the personnel safety state label to form a demolition decision input set, outputs a structured demolition conclusion through a decision engine, and forms a standard demolition permission mechanism with rule constraints and data support. Compared with the traditional subjective judgment method based on human experience, this method has high logical consistency and reproducibility, avoiding the phenomenon of misoperation caused by missing judgment elements and ignoring environmental factors. It can significantly improve the execution safety threshold of grounding removal operation, and form an electronic evidence chain through record comparison, enhancing the technical feasibility of post accountability.

[0106] Further, the specific method of step 7) comprises:

[0107] Step 71) After meeting the preset grounding line removal decision conditions, call the three-dimensional graphic modeling module, and input the three-dimensional coordinates of the grounding device hanging point, tower position, personnel position information and surrounding topological structure to construct a three-dimensional visualization model of grounding removal;

[0108] Step 72) Perform graphic annotation on the grounding line, hanging position, operating personnel, tower equipment and adjacent conductor elements in the three-dimensional visualization model. Different colors are used to identify the grounding state, risk level and operation role distribution during annotation;

[0109] Step 73) Synchronously superimpose live risk area, safe operation range and personnel motion trajectory information;

[0110] Step 74) Encapsulate the construction result of the three-dimensional visualization model as a standard format graphic data file, and extract the key state frames before, during and after removal as a static image sequence to generate a complete three-dimensional view record of the operation.

[0111] Step 75) Push the three-dimensional graphic result and its corresponding text information to the operation terminal interface, and upload it to the management platform;

[0112] Step 76) Embed the click element information linkage function in the three-dimensional graphics to support the operating personnel to click any key point to obtain real-time data details, including hanging state, live state, decision time and operator identification.

[0113] By modeling the grounding operation site state as a three-dimensional graphic object, embedding key state frames and spatial path information, the dynamic visual display and static multi-angle archive of the operation process are realized, making up for the lack of expression of traditional ticket text records in complex environments. The visualization model not only helps operation personnel understand the operation space and risk distribution, but also serves as an important basis for remote inspection and image auditing by supervisors. The graphic model supports element click linkage and information pop-up, enhancing operation interactivity and operation transparency, and embodying the technical path from "paper records" to "image auditing".

[0114] Further, the method of the present application further comprises step 8) synchronizing the state sensing result of the grounding line, the removal decision conclusion and the three-dimensional image to the two-ticket operation system, to assist in generating the safety measure execution record, the operation audit track and the safety operation prompt information.

[0115] Further, the specific method of step 8) comprises:

[0116] Step 81) encapsulating the grounding line state data after completing the removal decision and three-dimensional graphic modeling, personnel position record, graphic display result and live state conclusion into a standard structured data package;

[0117] Step 82) calling the data docking interface of the two-ticket operation system, writing the structured data package into the current operation ticket record, and automatically filling in the "safety measure execution record" field;

[0118] Step 83) synchronously embedding the removal decision result into the operation process control logic as a precondition for whether to allow the next operation, if the decision result is "allow removal", the system automatically releases the subsequent ticket flow node, if it is "prohibit removal", the ticket continues to advance is blocked;

[0119] Step 84) binding the structured result with the current ticket number and archiving into the operation ticket electronic account system, supporting subsequent query, audit and operation review;

[0120] Step 85) synchronously outputting the data field operation panoramic information containing the positioning track, the decision label, the removal time and the operator information to the background operation visualization platform for centralized management and control display by management personnel;

[0121] Step 86) in the mobile interface of the two-ticket operation system, push the generated removal decision result, image view and text description for real-time viewing by the on-site operation personnel and according to which to execute the subsequent steps, ensuring the closed-loop transmission of operation decision information.

[0122] By structuring and packaging the job state information, the judgment result and the graphic data, and by data interfacing with the two-ticket system, the application realizes the deep fusion of the perception layer and the ticket layer, and completely breaks the fragmented situation of "perception and execution on site, and record filling in the system". The system can automatically fill the ticket content according to the real-time job state, judge whether the process node can be advanced and archived to the ledger, realize the "automatic execution + full-process trace + auditable control" of the job management process. The mobile terminal push mechanism can realize the synchronous grasp of the current job risk and progress state by multiple roles, greatly improving the job collaboration efficiency and safety transparency.

[0123] The example provides a grounding line perception system based on charge amount time sequence analysis, including a perception data acquisition module, a hanging point position matching state acquisition module, a grounding line live line state result acquisition module, a space risk correlation graph forming module, a personnel safety state label generation module, a grounding line removal judgment module and a three-dimensional visualization module;

[0124] The perception data acquisition module is used to acquire real-time perception data of the grounding line, and the perception data includes the three-dimensional coordinates of the hanging point of the grounding line, the hanging state information, the current value and the voltage value;

[0125] The hanging point position matching state acquisition module is used to match the three-dimensional coordinates of the hanging point with the pre-labeled standard hanging point three-dimensional coordinates in space, acquire the hanging point position matching state and perform risk warning based on the hanging point position matching state;

[0126] The grounding line live line state result acquisition module is used to construct a time sequence according to the current value and the voltage value, perform segmented analysis on the time sequence, extract feature parameters related to the live line state, acquire the grounding line live line state result based on the feature parameters, and generate an electrical safety state report in combination with the hanging state information;

[0127] The space risk correlation graph forming module is used to acquire the spatial layout and electrical connection relationship of the hanging point and its adjacent towers and conductors in the grounding line, label the associated conductors and equipment with live line risks, and form a space risk correlation graph;

[0128] The personnel safety state label generation module is used to calculate the three-dimensional spatial distance between the position coordinates of the on-site operating personnel and the hanging point, judge whether the on-site operating personnel are within a preset safe distance range, and generate a personnel safety state label;

[0129] The grounding line removal judgment module is used to judge whether the pre-set grounding line removal judgment condition is met according to the hanging point position matching state, the grounding line live line state result and the personnel safety state label;

[0130] The three-dimensional visualization module is used to generate a three-dimensional visualization image of the grounding wire removal in combination with the field state information and the spatial risk correlation diagram after the preset grounding wire removal determination condition is met.

[0131] In order to verify the feasibility of the application in implementation, the method of the application is applied to a power distribution company in a southern city in this example. During the planned power outage maintenance operation of the 110kV Chengnan transformer—Nanhuang overhead line, the line belongs to the urban key area power supply main line, and there are large commercial circles, densely populated areas and a subway interchange station around, the operation environment is complex, and the accuracy, safety and controllability of the grounding operation are extremely high.

[0132] Before the actual operation, the operation and maintenance unit generates a work ticket through a two-ticket system and configures three groups of intelligent grounding wire devices. The device integrates a Beidou positioning module, a hanging state detection unit, a live sensing module and a LoRa Internet of Things communication component, can real-time collect the hanging three-dimensional coordinates, current and voltage signals of the grounding wire, and upload them to the access management platform through the gateway.

[0133] At the beginning of the operation, the grounding personnel bind the device number by scanning the work order two-dimensional code through the terminal. Then the intelligent grounding wire is hung on the specified grounding bolt of the No. 15 tower of the Chengnan transformer outgoing line. The real-time collected hanging point latitude and longitude of the device is N23.125471, E113.326594, and the hanging height is 3.42 meters. After comparing with the standard coordinates (N23.125467, E113.326599, H=3.40m) preset by the two-ticket system, the system determines that the offset is 0.74 meters, which meets the ±1 meter tolerance threshold standard, the hanging position is valid, and the hanging point is a valid hanging point that meets the hanging specification. This information is automatically recorded as a compliant state and locked in the current operation ticket safety measure execution field.

[0134] Meanwhile, the ground wire began to continuously upload current and voltage data, with a sampling frequency of 1 Hz. Within the first 15 minutes, the average current value collected was 0.13 A, the maximum value was 0.21 A, and the minimum value was 0.05 A. The voltage was stable within 1.4 V, showing a slight fluctuation trend. The time series analysis module extracted indicators such as current rate of change, voltage average, and live duration marker, and ultimately determined that the device was still in a slightly live state after 80 seconds, and the disassembly condition was not met. The system popped up a "do not disassemble" warning on the operation terminal and pushed a risk prompt. After about 22 minutes in this state, the current fluctuations gradually disappeared, and the current was below 0.03 A for 7 consecutive windows and the voltage tended to zero. The system ultimately determined that the device had been stable de-energized, i.e., not live, and the state was updated to "allow disassembly". Before disassembly, the system automatically called the graphical modeling module, with the hanging coordinate as the center, the surrounding tower topology structure, and the real-time location of the operating personnel (N23.125481, E113.326581) as auxiliary data, to generate a three-dimensional scene graph of the grounding environment, identifying the spatial distribution and risk level zoning of the hanging point, operating personnel, and nearby conductors. The three-dimensional image was synchronously displayed on the Web platform and the operation mobile terminal, and three static keyframes (hanging confirmation frame, live state conversion frame, and personnel approach frame) were generated and archived into the safety measure execution record in the form of images. The final determination result, three-dimensional model, and analysis log were packaged into structured data and automatically written into the work order system through the two-vote system interface for subsequent audit review.

[0135] A total of 3 groups of ground wires were deployed at the operation site, located at towers 15, 16, and 18. All operations automatically completed coordinate comparison, live analysis, and safety distance calculation according to the method of the present application. During the entire operation period, about 5280 positioning data and about 92,000 electrical parameter data were uploaded, 12 graphical models were generated, and 3 abnormal hanging behaviors were prompted and intervened, avoiding two potential risks of approaching live conductors. Compared with the previous manual and manual judgment of hanging position and experience-based judgment of disassembly time, the system reduced the judgment time from an average of 4 minutes to less than 90 seconds, with a false positive rate of 0.8%. The operation personnel feedback that this method is "more visual, more clear in judgment, and faster in feedback".

[0136] Through this scene example, it is fully demonstrated that the present application effectively solves the existing technical bottlenecks of non-standard grounding wire hanging, high risk of misjudgment of disassembly, and lagging record of tickets, realizes a closed-loop intelligent grounding operation process from "perception-evaluation-feedback-recording", and has high engineering promotion value and practical application effect.

[0137] To verify the feasibility of the application in implementation, the method of the application is also applied to a power company which plans to replace insulators and equipment inspection and maintenance for multiple towers along a power transmission line. The line passes through multiple mountainous and farmland areas, the operation conditions are complex and the environment is variable, in order to ensure the safety of field personnel, the use of grounding wire must be standardized, and the hanging position, live state and personnel safety distance must be strictly determined. However, the traditional manual verification method has problems such as data lag, high risk of misjudgment, and inability to track in real time, which brings hidden dangers to safe operation. Therefore, the embodiment applies a grounding wire perception method based on live quantity time series analysis proposed by the application to intelligently monitor and safely analyze the whole process of grounding operation.

[0138] Before the start of the field operation, the operation and maintenance unit presets the standard hanging point information of the grounding task through the "two-ticket operation system", including the position of the ground wire connecting plate of the 38th tower, whose three-dimensional coordinates are longitude 115.236°, latitude 29.812°, and hanging height 7.5 meters, and the maximum allowable offset tolerance is 0.5 meters. The operating personnel use an intelligent grounding wire terminal with Beidou positioning, hanging identification and live detection functions to perform the hanging operation. When the hanging is completed, the terminal automatically records its real-time spatial coordinate information and uploads it to the management platform.

[0139] The system comparison and analysis shows that the actual hanging coordinates of the grounding wire are longitude 115.2357°, latitude 29.8123°, and height 7.48 meters, which deviates from the standard point by 0.23 meters, within the allowable threshold, and is determined to be a valid hanging point that meets the hanging specification. At the same time, the terminal uploads the hanging time as 08:36:21 and marks the hanging action state as "closed", which meets the operation specification.

[0140] After accessing the live quantity analysis module, the terminal starts to collect current and voltage data in real time, recording once per second. After the hanging is completed, it continues to monitor for 10 minutes, and the system obtains 600 sets of data in total. After preprocessing and trend normalization, the system analysis finds that the current fluctuation range is ±0.05A within the first 120 seconds, and the voltage value is stable below 2.1V, and then there is no obvious current flow within 380 seconds, and the voltage tends to 0.4V. The characteristics of each analysis window show no continuous live signal, and finally it is determined to be "not live".

[0141] By calling the information of the power grid "one map" service platform, the system identifies that the upstream and downstream of the line at the operation point are the 37th tower and the 39th tower respectively, and there is a branch line connected to the nearby substation at the 39th tower. Combined with three-dimensional coordinate calculation and electrical connection relationship analysis, the system identifies 6 devices with potential live risk near the 38th tower and its branch line, and generates a spatial risk correlation graph according to the map analysis. The data shows that there are 2 conductor segments with an angle less than 30 degrees with the hanging point, and the minimum spatial distance is 4.2 meters.

[0142] At the same time, the mobile terminal worn by the operator uploads its real-time position, and the system calculates that the horizontal distance between the operator and the grounding line hanging point is 1.2 meters, and the vertical height difference is 0.6 meters. According to the current weather condition (light rain), the grounding task type (equipment replacement), and the voltage level (110kV), the system sets the minimum safety control distance as 2.5 meters. After judgment, the operator is in the state of "exceeding the safety distance", and the system immediately pops up the terminal warning interface, prompting the personnel to retreat to the safety range.

[0143] After the personnel adjust their position, the system re-detects the position, records a horizontal distance of 3.1 meters and a vertical height difference of 0.4 meters, and determines that it is "safe to operate". At the same time, the current live state is not live, and the hanging point is a valid hanging point that meets the hanging specification, triggering the removal condition judgment module. The system automatically generates the judgment result "allow removal" and suggests to perform the removal operation.

[0144] Before starting the removal operation, the system calls the three-dimensional modeling module to generate a three-dimensional visualization image of the operation point, with the grounding line state marked as green "allow removal", the personnel position marked as blue, and the adjacent live conductor marked as a red risk area. The image structure is clear. The system pushes the three-dimensional image to the terminal for personnel to view and uploads it to the platform for archiving. The image integrates a click interaction function, and clicking any node can view real-time information such as hanging state, voltage trend chart, and operator identity.

[0145] After the removal is completed, the system automatically records the removal time as 09:17:43 and generates a structured data package containing the judgment conclusion, personnel trajectory, three-dimensional image, etc., and automatically writes it into the "safety measure execution record" field of the two-ticket operation system. At the same time, the result is synchronized to the operation ticket electronic account system and output to the visualization background.

[0146] Through this application, the invention solves the problems of low efficiency of manual verification, lagging data collection, and inability to quantitatively judge the removal time in traditional grounding operations, and realizes the intelligent closed-loop management of real-time state perception, timing live analysis, and safety distance judgment of the grounding line. According to statistics, among the 7 grounding operations on this line, the system successfully identified and warned abnormal hanging behavior 2 times and personnel position 3 times, with a removal judgment accuracy rate of 100%. The field personnel feedback that the system operation is simple and intuitive, greatly improving the standardization and safety of grounding operations.

[0147] To verify the feasibility of the application in implementation, the application is also applied to the operation and maintenance process of a certain ultra-high voltage transmission line in mountainous area in this example. The operation and maintenance unit organizes multiple batches of inspection operation teams to conduct spring routine inspection and grounding arrangement of the towers along the line. Due to the fact that the line passes through complex mountainous area, the communication signal in some areas is unstable, the climate is cold and changeable, the personnel access is difficult, and the hanging points in many places are close to other lines or branch equipment, there are risks of misjudgment of live state or personnel approach. The traditional manual recording and power-off confirmation method is extremely low in efficiency, and it is difficult to meet the efficient requirements of real-time monitoring and remote scheduling. To solve this problem, the "grounding line perception method based on live quantity time sequence analysis" proposed in the application is comprehensively used in this operation, and the processes such as hanging identification, live judgment, safety evaluation and removal confirmation are digitally closed-loop managed.

[0148] In the operation initialization stage, the dispatching center issues operation task instructions through the two-vote system, and synchronously calls the standard hanging point information of the target tower (such as X351~X356), including the unique number (such as X351-GP1) of each hanging point, the three-dimensional space coordinates (the accuracy is ±0.1 meters), the tower node number, the electrical connection relationship and the allowed hanging error range (0.4 meters is set). At the same time, the remote platform dispatches the operation personnel of each team to wear the matching intelligent grounding terminal device, which is provided with a Beidou positioning module, a live detection module, a hanging identification module and an edge communication processing module, and can still transmit data with the help of relay nodes in the weak signal scene in the mountainous area.

[0149] In the actual operation process, a team completed the hanging operation at the X354 tower at 10:12 on the same day, and the terminal device collected the current hanging point with the longitude and latitude of 116.02862°E, 29.78419°N and the height of 8.35 meters. The system and the platform preset the standard hanging point of 116.02859°E, 29.78422°N and the height of 8.30 meters for comparison, and the three-dimensional offset calculation obtained an error of 0.067 meters, which determined that the hanging behavior was compliant, and the hanging point was a valid hanging point in compliance with the hanging specification. The system immediately generated a matching confirmation flag, and automatically wrote the "hanging effective" field in the grounding ticket arrangement execution record. The field terminal interface synchronously updated the state to "hanging qualified", and prompted to enter the next electrical state monitoring process.

[0150] The electrical state monitoring stage, the terminal automatically collects current, voltage data and constructs time sequence. In the next 12 minutes, a total of 720 groups of data are obtained, and after preliminary processing, signal mutation points and null segments are removed. The maximum current value in the first 200 seconds of the acquisition curve is 0.05A, and the voltage presents slight fluctuation with a maximum value of 1.2V; subsequently, the curve tends to be stable within 480 seconds, the current decreases to below 0.01A, and the voltage decreases to within 0.2V. The system calculates the fluctuation trend and power change rate according to the analysis window, combines with the live-line state judgment logic to determine that the current line is in the "non-live-line state", and generates a structured live-line state label.

[0151] At the same time, in order to prevent the influence of other branch line equipment, the system calls the "one map" platform interface, pulls the graphical line topology map of the area where the X354 tower is located, and selects the adjacent towers and conductor nodes within the set range. The analysis results show that the X354 tower is connected to X355 to the north and X353 to the south, and there is a sagging intersection section with the X254 branch line. The system automatically identifies the electrical connection path and the voltage level of the conductor, forms a spatial risk map of the current work point and the live-line area, and the three-dimensional image shows that there are a total of 2 live-line nodes within 5 meters from the hanging point, with a voltage level of 220kV. The system highlights the label to guide the safe operation.

[0152] The work personnel positioning data is continuously returned through the work terminal. At 10:24, the system determines that the spatial distance between a work personnel and the hanging point is only 1.4 meters, and the vertical height difference is 0.6 meters, which exceeds the minimum safe distance (2.3 meters) under the preset 220kV condition. The system immediately pops up an "over-distance operation warning" in the field, and at the same time, pushes the alarm information to the dispatching background. The personnel retreats the position after being prompted, and the system records the subsequent positioning as 2.7 meters, and the state returns to "safe and operable".

[0153] After the work is completed, the system automatically triggers the removal condition judgment engine according to the three conditions of "non-live-line state" of the grounding point, "effective hanging point" of the hanging point, and "safe and operable" of the personnel, and the judgment result is "allow to remove", and outputs the removal suggestion and operation time window. The terminal synchronously activates the three-dimensional visual modeling module to build a three-dimensional scene graph including personnel, towers, grounding wires, hanging points, branch line conductors and other elements. In the image, the live-line state and safe area are distinguished by color, and the system automatically generates a pre-removal state graph, a removal change graph and a post-removal state zero graph, a total of 5 frames of static images are extracted.

[0154] The graphical modeling data and work judgment conclusion are packaged into a unified structured data package, which is uploaded to the property management platform and the two-vote system at 10:38, and written into the "removal conclusion" field of the work ticket. The structured package also includes positioning trajectory, removal time, personnel number, risk image, operation label and other contents, and the background platform generates a visual audit report based on the data and archives it.

[0155] After a week of high-frequency operation test, the application of the method of the application in the same line for 9 times of grounding and removal process, a total of 3 times of abnormal hanging position identification, 5 times of risk behavior of approaching, and one time of successful prevention of misremoval operation, the automatic judgment accuracy reaches 100%. Compared with the traditional process, in the signal difference environment in the mountainous area, the whole process monitoring, early warning, recording and remote judgment can still be realized, which provides high safety guarantee and efficiency improvement for the remote operation of the power grid, and effectively supports the digital transformation of the ultra-high voltage operation system in the region.

[0156] The above is only a specific embodiment of the present application, but the protection scope of the present application is not limited thereto, any person skilled in the art can easily think of changes or replacements within the technical range disclosed by the present application, which should be covered within the protection scope of the present application.

Claims

1. A ground line sensing method based on time series analysis of charged quantity, characterized in that: include: Step 1) obtaining real-time sensing data of the grounding line and preprocessing the sensing data; the sensing data includes the three-dimensional coordinates of the grounding line's attachment point, attachment status information, current value, and voltage value; Step 2) spatially matching the three-dimensional coordinates of the attachment point with the three-dimensional coordinates of a pre-marked standard attachment point, obtaining a matching status of the attachment point position and issuing a risk warning based on the matching status of the attachment point position; Step 3) constructing a time series based on the current and voltage values, performing segmented analysis on the time series, extracting characteristic parameters related to the energized state, obtaining the energized state of the ground wire based on the characteristic parameters, and generating an electrical safety status report in combination with the connection status information; Step 4) Obtain the spatial layout and electrical connection relationship of the attachment point and its adjacent towers and conductors, identify associated conductors and equipment with energized risks, and form a spatial risk association map; Step 5) Calculate the three-dimensional distance between the on-site operator's location coordinates and the attachment point, determine whether the on-site operator is within the preset safety distance range, and generate a safety status label for the operator; Step 6) Determine whether the preset ground wire removal determination conditions are met based on the matching status of the attachment point position, the ground wire energized status result, and the personnel safety status label; Step 7) After the preset grounding wire removal judgment conditions are met, a three-dimensional visualization image of the grounding wire removal is generated by combining the on-site status information and the spatial risk association map.

2. The ground line sensing method based on charge time series analysis according to claim 1 is characterized in that: The specific methods of step 2) include: Step 21) presetting standard attachment point information for each grounding operation task, wherein the standard attachment point information includes a unique identification number of the attachment device, an identification of a power topology node corresponding to the tower, three-dimensional coordinates of the standard attachment point, and a maximum deviation tolerance threshold range; Step 22) obtaining the three-dimensional coordinates of the attachment point in the sensing data, wherein the three-dimensional coordinates of the attachment point include longitude, latitude, and attachment height; Step 23) Match the corresponding grounding operation task with the unique identification number of the attachment device corresponding to the grounding line and the power topology node identification corresponding to the tower, thereby obtaining the standard attachment point information corresponding to the grounding operation task in the sensed data, and compare the three-dimensional coordinates of the attachment point with the three-dimensional coordinates of the standard attachment point dimension by dimension, respectively calculating the longitude difference, latitude difference, and attachment height difference, thereby generating a spatial offset vector; Step 24) Calculate the modulus of the spatial offset vector and compare it with the maximum offset tolerance threshold range. If the modulus is within the maximum offset tolerance threshold range, the attachment point position matching status is determined to be a valid attachment point that complies with the attachment specification; otherwise, it is determined to be an abnormal attachment point. Step 25) If it is determined to be an abnormal connection point, the risk warning mechanism is triggered to issue a risk warning.

3. The ground line sensing method based on charge time series analysis according to claim 2 is characterized in that: The specific methods of step 3) include: Step 31) Based on the current and voltage values ​​in the sensed data, the values ​​are arranged in order according to the timestamps to construct a time series of the amount of charge; Step 32) Preprocessing the time series of the amount of charge to form a standardized time series of the amount of charge, wherein the preprocessing includes abnormal data removal, time series completion, numerical smoothing, and trend unification processing; Step 33) analyzing the standardized time series, dividing it into multiple continuous analysis windows according to the time dimension, and extracting characteristic parameters related to the charged state in each analysis window, wherein the characteristic parameters related to the charged state include current value, voltage value, and current change rate; Step 34) Perform window-by-window judgment based on the characteristic parameters related to the charged state extracted from each analysis window and the preset charged state judgment rules, and output a temporary charged state label for the time segment corresponding to each analysis window; Step 35) Aggregate and analyze the temporary energized state labels of multiple consecutive analysis windows, count the energized state labels of each analysis window, calculate the energized frequency, and determine whether it is a continuous energized state based on the set energized frequency threshold. If the energized frequency threshold is reached, the ground line energized state result is energized; otherwise, the ground line energized state result is de-energized. Step 36) The current energized state result obtained by determination is jointly encoded with the connection state information to form a structured electrical safety state report.

4. The ground line sensing method based on charge time series analysis according to claim 3 is characterized in that: The specific methods of step 4) include: Step 41) Based on the transmission line topology data, obtain the unique identifier of the target grounding operation task, the line number to which it belongs, and the topological upstream and downstream connection relationship; Step 42) Based on the three-dimensional coordinates of the attachment point, all adjacent tower nodes and conductor nodes within a set radius are screened from the graphic platform according to the spatial correlation range; Step 43) constructing an electrical connectivity graph for the target operating tower node and adjacent tower nodes, and identifying the wire segments and all charged component nodes electrically associated with the target operating tower using a graph structure analysis method; Step 44) Combined with the real-time operating status information of each energized component node in the electrical connectivity map, the current operating voltage level, conduction status, and load information of each conductor segment are obtained, and associated conductors and equipment with energized risks are calibrated to form a set of energized risk nodes; Step 45) Perform correlation analysis on the angle, distance and correlation path of the set of energized risk nodes and the spatial position of the attachment points to form a spatial risk correlation diagram of the current target operation tower node and the energized parts.

5. The ground line sensing method based on charge time series analysis according to claim 4 is characterized in that: The specific methods of step 5) include: Step 51) Obtaining the location coordinates of the on-site workers; Step 52) Compare the position coordinates of the on-site operator with the three-dimensional coordinates of the attachment point, and calculate the spatial distance between the on-site operator and the attachment point, where the spatial distance includes the horizontal projection distance and the vertical height difference distance; Step 53) Determine the corresponding safety control threshold interval based on the target operation tower node, target equipment voltage level, and meteorological conditions, and compare it with the calculated spatial distance; Step 54) If the spatial distance is within the safety control threshold range, the on-site operator's safety status label is marked as safe to operate; otherwise, it is marked as exceeding the safety distance.

6. The ground line sensing method based on charge time series analysis according to claim 5 is characterized in that: The specific methods of step 6) include: Step 61) Using the connection point location matching status, ground wire energized status result, and personnel safety status label as judgment items, a data set for determining removal conditions is constructed; Step 62) comparing the items in the data set in sequence to see if they all meet the preset grounding wire removal determination conditions, wherein the preset grounding wire removal determination conditions include the connection point position matching status being a valid connection point that complies with the connection specification, the grounding wire energized state result being a de-energized state, and the personnel safety status label being safe to operate; Step 63) If all the determination items satisfy the preset ground wire removal determination conditions, the removal determination result is output as allowing removal; if any of the determination items is not satisfied, the removal determination result is output as prohibiting removal.

7. The ground line sensing method based on charge time series analysis according to claim 6 is characterized in that: The specific methods of step 7) include: Step 71) After the preset grounding wire removal determination conditions are met, a 3D visualization model of grounding wire removal is constructed using the 3D coordinates of the grounding device's attachment point, the tower location, personnel location information, and the surrounding topology as input; Step 72) Graphically annotate the ground wire, connection location, operator, tower equipment, and adjacent conductor elements in the 3D visualization model, using different colors to indicate grounding status, risk level, and operator role distribution; Step 73) Synchronously superimpose information on live risk areas, safe operating ranges, and personnel movement trajectories; Step 74) Encapsulate the construction results of the 3D visualization model into a standard format graphic data file, and extract key state frames before, during, and after demolition into static image sequences to generate a complete 3D view record of the operation.

8. The ground line sensing method based on charge time series analysis according to claim 1 is characterized in that: The preprocessing includes using Gaussian filtering to remove abnormal data caused by environmental interference, filling missing data that occurs during the acquisition process through mean interpolation, and performing Min-Max normalization processing.

Images