Intelligent safety protection conductor early warning method and system for track circuit occupation

Abstract

The application relates to the technical field of track intelligent safety protection conductor detection, and discloses a track circuit occupation intelligent safety protection conductor early warning method and system, which comprises the following steps: obtaining pre-stored interval point data and operation work order data, establishing a binding relationship of an operation work order, corresponding interval points and a target intelligent safety protection conductor, and generating a management and control benchmark; receiving position data and short-circuit state data reported by the target intelligent safety protection conductor in real time, and generating a protection compliance value; matching corresponding abnormal types to generate an early warning signal, and delivering the early warning signal to the corresponding bound target intelligent safety protection conductor and a dispatch terminal; performing timing verification to obtain a protection management and control result; the application can realize closed-loop management and control of active reporting of the state of the intelligent safety protection conductor and automatic comparison and determination of the platform, and can improve the accuracy of intelligent detection of the intelligent safety protection conductor.

Description

Technical Field

[0001] This application relates to the field of intelligent safety protection conductor detection technology for railway tracks, and more specifically to an intelligent safety protection conductor early warning method and system for track circuit occupancy. Background Technology

[0002] Currently, track maintenance and repair work covers conventional railways, high-speed railways, subways, intercity railways, and freight lines. During these operations, personnel must enter the track area. If a train enters the work area at this time, it directly threatens personnel safety and could potentially cause train derailment. To create a red light strip on the dispatching platform to block the work area, safety personnel must connect intelligent safety protection wires to the left and right rail surfaces before the work begins. This utilizes the inter-rail voltage to generate a short-circuit current, which is collected by signal detectors embedded under the rails and transmitted to the platform via the railway intranet. After the work is completed, the safety personnel must promptly remove the intelligent safety protection wires to remove the red light strip and restore track traffic. The timing and accuracy of the intelligent safety protection wire installation and removal directly determine the effectiveness of track maintenance safety.

[0003] Existing technologies have the following problems: ordinary intelligent safety protection conductors themselves do not have short-circuit state sensing and remote communication capabilities. Whether a short circuit is successful depends entirely on the transmission from the track-mounted detector and the railway intranet, which results in transmission delays, and the dispatching terminal cannot obtain the short-circuit status of the intelligent safety protection conductors in real time; intelligent safety protection conductors do not have autonomous positioning functions, and the dispatching room's verification of the setting location relies entirely on the safety personnel's verbal reports via walkie-talkie and the judgment of the on-duty personnel based on their underground experience, which can lead to human error; when there are overlapping work periods between two adjacent work sections, errors such as the failure to set up intelligent safety protection conductors that should be set up or the failure to remove conductors that should be removed may occur; intelligent safety protection conductors themselves do not emit light, making them difficult to detect after installation, and there is a risk of them being accidentally broken by on-site personnel or the conductors themselves, making them difficult to identify; to solve at least one of the above problems, this application proposes an early warning method and system for intelligent safety protection conductors for track circuit occupancy. Summary of the Invention

[0004] To address the shortcomings of existing technologies, the purpose of this application is to provide an intelligent safety protection conductor early warning method and system for track circuit occupancy, which can effectively solve the problems in the background technology. The specific technical solution of this application is as follows:

[0005] A method for early warning of track circuit occupancy using intelligent safety protection conductors, comprising:

[0006] Acquire pre-stored interval point data and work order data, establish the binding relationship between work orders, corresponding interval points and target intelligent safety protection wires, and generate control benchmarks including bound intelligent safety protection wire identifiers, bound point coordinates and bound time sequence nodes;

[0007] Receive the real-time reported location data and short-circuit status data of the target intelligent safety protection wire, calculate the identity matching degree, location deviation degree and short-circuit effectiveness coefficient of the intelligent safety protection wire based on the control benchmark, and fuse them to generate a protection compliance value;

[0008] The protection compliance value is compared with a preset compliance threshold. If the protection compliance value is lower than the preset compliance threshold, a warning signal is generated by matching the corresponding abnormality type, and the warning signal is sent to the corresponding bound target intelligent security protection wire and scheduling terminal.

[0009] Based on the bound timing nodes in the control benchmark, timing verification is performed in conjunction with the real-time short-circuit status data of the target intelligent safety protection conductor to obtain the protection control result.

[0010] Specifically, the process of acquiring pre-stored interval point data and work order data, establishing a binding relationship between work orders, corresponding interval points, and target intelligent safety protection guideways, and generating control benchmarks including bound intelligent safety protection guideway identifiers, bound point coordinates, and bound time sequence nodes includes:

[0011] Perform coordinate system normalization transformation on the collected raw coordinate data of interval points to obtain standard point coordinates under a unified coordinate system;

[0012] Perform field mapping and format validation on the work order data to obtain standard work order data that includes work time period, work interval identifier, and specified intelligent safety protection wire identifier;

[0013] The standard point coordinates and standard work order data are associated and bound with the identity identifier of the corresponding target intelligent safety protection guide, generating a control benchmark that includes the bound intelligent safety protection guide identifier, bound point coordinates, and bound time sequence nodes.

[0014] Specifically, the receiver receives real-time reported location data and short-circuit status data from the target intelligent safety protection conductor. Based on the control benchmark, it calculates and fuses the intelligent safety protection conductor's identity matching degree, location deviation degree, and short-circuit effectiveness coefficient to generate a protection compliance value, including:

[0015] Receive real-time location data and short-circuit status data from the target intelligent safety protection wire to obtain the reported data;

[0016] Extract the smart safety protection wire identification from the reported data and compare it bit by bit with the bound smart safety protection wire identification in the control benchmark to obtain the smart safety protection wire identification matching degree.

[0017] Extract the real-time location data from the reported data and the coordinates of the bound points in the control benchmark, calculate the spatial offset, and perform normalization to obtain the position deviation.

[0018] Extract the short-circuit current characteristic parameters from the reported data, compare them with the effective short-circuit judgment criteria, and calculate the short-circuit effectiveness coefficient.

[0019] The protection compliance value is calculated by combining the identity matching degree, position deviation degree and short circuit effectiveness coefficient of the intelligent safety protection conductor.

[0020] Specifically, the extraction of short-circuit current characteristic parameters from the reported data, comparison with the effective short-circuit determination criteria, and calculation to obtain the short-circuit effectiveness coefficient include:

[0021] Continuous trend verification is performed on multiple sets of short-circuit current sampling data within the same sampling period, and abnormal sampling points that deviate from the continuous change trend are removed to obtain effective current sampling data;

[0022] Extract the current amplitude and signal frequency from the effective current sampling data and match them with the effective short-circuit judgment interval of the corresponding operation scenario in the control benchmark.

[0023] The short-circuit effectiveness coefficient is calculated based on the degree to which the current amplitude and signal frequency fall within the effective short-circuit determination range.

[0024] Specifically, the protection compliance value is compared with a preset compliance threshold. If the protection compliance value is lower than the preset compliance threshold, a warning signal is generated based on the corresponding anomaly type, and the warning signal is sent to the corresponding bound target intelligent security protection wire and scheduling terminal, including:

[0025] The protection compliance value is compared with the preset compliance threshold;

[0026] If the protection compliance value is lower than the preset compliance threshold, the corresponding abnormal category and warning level are matched with the pre-stored abnormality type mapping table according to the deviation range of the compliance value, and a warning signal of the corresponding level is generated.

[0027] According to the pre-stored early warning distribution path in the control benchmark, the early warning signal is sent to the corresponding bound target intelligent security protection wire and dispatch terminal respectively.

[0028] Specifically, comparing the protection compliance value with a preset compliance threshold includes:

[0029] Extract the operation scenario type and the intersection status of adjacent operation intervals from the control benchmark;

[0030] The corresponding baseline threshold is matched according to the type of work scenario, and the baseline threshold is corrected by combining the cross-state of adjacent work intervals to obtain the currently effective compliance threshold.

[0031] The protection compliance value is compared with the currently effective compliance threshold.

[0032] Specifically, after the warning signal is sent to the corresponding bound target intelligent security protection wire and dispatch terminal, a warning cancellation verification is performed, including:

[0033] Continuously receive real-time location data and short-circuit status data from the target intelligent safety protection wire, and update the protection compliance value synchronously.

[0034] When the updated protection compliance value is greater than the preset compliance threshold, an early warning cancellation signal is generated.

[0035] The warning cancellation signal is sent to the corresponding bound target intelligent security protection wire and dispatch terminal to end the current warning process.

[0036] Specifically, based on the bound timing nodes in the control benchmark, timing verification is performed in conjunction with the real-time short-circuit status data of the target intelligent safety protection conductor to obtain the protection control result, including:

[0037] According to the sequence of time nodes in the control benchmark, the verification process of setting reminder nodes, setting timeout nodes, removing reminder nodes, and removing timeout nodes is triggered in sequence.

[0038] When each timing node is triggered, the real-time short-circuit status data of the target intelligent safety protection wire is read, compared with the expected status corresponding to that node, and the verification result of the corresponding node is generated.

[0039] The verification results of all time-series nodes are summarized to obtain the protection and control results.

[0040] Specifically, the summary of verification results for all time-series nodes to obtain the protection and control results includes:

[0041] Record the actual setting and removal times of the target intelligent safety protection wire, and calculate the time deviation with the corresponding bound timing nodes;

[0042] The timing of subsequent control benchmarks for similar operations is adaptively adjusted based on the time deviation.

[0043] By combining the verification results of each node with the timing correction information, a protection and control result is generated.

[0044] A smart safety protection conductor early warning system for track circuit occupancy, used to implement the aforementioned smart safety protection conductor early warning method for track circuit occupancy, includes:

[0045] The data analysis module acquires pre-stored interval point data and work order data, establishes the binding relationship between work orders, corresponding interval points and target intelligent safety protection wires, and generates control benchmarks including bound intelligent safety protection wire identifiers, bound point coordinates and bound time sequence nodes.

[0046] The status analysis module receives real-time location data and short-circuit status data reported by the target intelligent safety protection wire, calculates the identity matching degree, position deviation degree and short-circuit effectiveness coefficient of the intelligent safety protection wire based on the control benchmark, and integrates them to generate a protection compliance value.

[0047] The status early warning module compares the protection compliance value with a preset compliance threshold. If the protection compliance value is lower than the preset compliance threshold, it generates an early warning signal by matching the corresponding abnormality type and sends the early warning signal to the corresponding bound target intelligent security protection wire and scheduling terminal.

[0048] The track protection module performs timing verification based on the bound timing nodes in the control benchmark and the real-time short-circuit status data of the target intelligent safety protection conductor to obtain the protection control result.

[0049] The beneficial effects of this application are as follows: It integrates the single BeiDou positioning, transformer short-circuit self-testing, and wireless communication capabilities of intelligent safety protection conductors with the control benchmark of the scheduling platform. This establishes an assessment of the intelligent safety protection conductor's identity, spatial location, and short-circuit status. In each reporting cycle, it synchronously calculates the intelligent safety protection conductor's identity matching degree, location deviation, and short-circuit effectiveness coefficient, fusing them into a protection compliance value. This value is compared with a dynamic compliance threshold considering the cross-state of adjacent work areas. It automatically identifies incorrect use of intelligent safety protection conductors, positioning deviations, and short-circuit anomalies, triggering bidirectional early warnings. After the anomaly is eliminated, the warning is automatically lifted after continuous and stable verification. Parallel execution of timing node verification automatically detects timeout behavior and triggers alarms at the start and end boundaries of setting and removing the conductors. Actual operational deviations are statistically analyzed and adaptively corrected for subsequent similar operations. This enables the setting and removal of intelligent safety protection conductors to achieve closed-loop control through proactive reporting of conductor status and automatic comparison and judgment by the platform, eliminating information delays and potential human error, and improving the accuracy of intelligent detection of short-circuit intelligent safety protection conductors. Attached Figure Description

[0050] Figure 1 This is a flowchart illustrating the process of an intelligent safety protection conductor early warning method for track circuit occupancy, as described in an embodiment of this application.

[0051] Figure 2 This is a schematic diagram of the structure of an intelligent safety protection conductor early warning system for track circuit occupancy in an embodiment of this application. Detailed Implementation

[0052] The present application will be further described in detail below with reference to the accompanying drawings and embodiments.

[0053] In the embodiments of this application, the terms "exemplary" or "for example" are used to indicate that something is an example, illustration, or description. Any embodiment or design that is described as "exemplary" or "for example" in the embodiments of this application should not be construed as being more preferred or advantageous than other embodiments or design. Specifically, the use of the terms "exemplary" or "for example" is intended to present the relevant concepts in a specific manner.

[0054] Hereinafter, the terms "first," "second," and other generic terms are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the embodiments of this application, unless otherwise stated, "multiple" means two or more.

[0055] refer to Figure 1 The image shows a specific implementation of an intelligent safety protection conductor early warning method for track circuit occupancy according to this application, comprising:

[0056] S101. Obtain the pre-stored interval point data and work order data, establish the binding relationship between the work order, the corresponding interval point and the target intelligent safety protection wire, and generate the control benchmark including the bound intelligent safety protection wire identifier, the bound point coordinates and the bound time sequence node.

[0057] S102. Receive the location data and short-circuit status data reported in real time by the target intelligent safety protection wire, calculate the identity matching degree, position deviation degree and short-circuit effectiveness coefficient of the intelligent safety protection wire based on the control benchmark, and fuse them to generate a protection compliance value.

[0058] S103. The protection compliance value is compared with the preset compliance threshold. If the protection compliance value is lower than the preset compliance threshold, the corresponding abnormality type is matched to generate an early warning signal, and the early warning signal is sent to the corresponding bound target intelligent security protection wire and scheduling terminal.

[0059] S104. Based on the bound timing nodes in the control benchmark, timing verification is performed in conjunction with the real-time short-circuit status data of the target intelligent safety protection wire to obtain the protection control result.

[0060] This embodiment provides a method for early warning of track circuit occupancy using an intelligent safety protection conductor. This method operates on a dispatching platform, which maintains data interaction with several intelligent safety protection conductors, dispatching terminals, and mobile terminals used to collect coordinates of points along the track via a wireless communication network. The intelligent safety protection conductor integrates the conductor body, a current transformer detection unit, a single BeiDou positioning module, a 4G or 5G remote communication module, and a Bluetooth communication module. The current transformer detection unit is connected across both ends of the intelligent safety protection conductor. When the conductor laps onto the rail surfaces of the left and right rails, the detection unit senses the inter-rail short-circuit current, outputs an analog voltage signal corresponding to the current amplitude, performs analog-to-digital conversion, and simultaneously detects the signal frequency. The single BeiDou positioning module outputs the real-time longitude, latitude, and elevation coordinates of the intelligent safety protection conductor. The remote communication module assembles the intelligent safety protection conductor's identification, real-time location data, and short-circuit status data into a reporting message and sends it to the dispatching platform, and also receives early warning signals from the platform. The Bluetooth communication module is used on-site via a mobile terminal to configure parameters and upgrade firmware of the intelligent safety protection conductor. The mobile terminal is equipped with a point-tracking application, allowing managers to collect point coordinates on the track. The following explanation of the method is based on a safety protection scenario for track work.

[0061] Specifically, before the work assignment is issued, the mobile terminal is carried along the track. At each work location that needs to be marked, the mobile terminal is placed directly above the rail surface, and the marking application is used to record the current BeiDou positioning coordinates. Simultaneously, the name of the location, the name of the line to which it belongs, and the mileage marker are entered. Location types include the starting point of a turnout section within the station, the position in front of a signal, the position of a station boundary marker, as well as the kilometer markers and block section boundaries of the section. After all locations are collected, the mobile terminal packages and uploads the raw data of the collected section locations to the dispatching platform database as pre-stored section location data. After obtaining the pre-stored section location data, the dispatching platform performs coordinate system normalization transformation, converting the original WGS-84 geodetic coordinates of each location into Gauss-Kruger plane projection coordinates, obtaining standard location coordinates in a unified coordinate system in meters.

[0062] The scheduling platform obtains work order data from the work management system. This data includes the work start time, work end time, work interval identifier, the identifier of the designated intelligent safety guide wire, the safety officer's information, and the work scenario type, which includes in-station work and interval work. The platform performs field mapping and format validation on the work order data: converting the work start and end times from string format to timestamp format; verifying the validity of the intelligent safety guide wire identifier in the intelligent safety guide wire information database; and verifying that the work interval identifier matches the stored standard point coordinates. After successful validation, standard work order data is obtained.

[0063] Furthermore, the dispatching platform associates the designated intelligent safety protection conductor identification, the planar coordinates of the standard point corresponding to the work section identification, and multiple binding time-series nodes derived from the work start and end times in the standard work order data to generate a control benchmark. The binding time-series nodes are generated as follows: a reminder node is generated by shifting forward by a first preset time interval (e.g., 5 minutes) from the work start time; a latest reminder node is generated by shifting backward by a second preset time interval (e.g., 10 minutes); a removal reminder node is generated by shifting forward by a third preset time interval (e.g., 20 minutes) from the work end time; and the latest removal node is the work end time itself. These shift durations are pre-set in the platform configuration parameters according to railway operation safety regulations. The control benchmark includes at least the bound intelligent safety protection conductor identification, bound point coordinates, the time points of the bound time-series nodes, and the work scenario type.

[0064] Once the task reaches the set reminder node, the target intelligent safety protection conductor enters the working state. The control unit inside the intelligent safety protection conductor reads real-time location data from the single Beidou positioning module and short-circuit status data from the current transformer detection unit at fixed reporting intervals. The short-circuit status data includes a short-circuit indicator flag and a set of short-circuit current sampling sequences. The short-circuit indicator flag is a logical judgment made by the control unit based on whether the current transformer output signal exceeds an internally preset minimum induction threshold; a value of 1 indicates a short circuit, and a value of 0 indicates no short circuit or that the circuit has been removed. The short-circuit current sampling sequence is collected at equal intervals within a sampling period, for example, 10 instantaneous current values ​​are collected within 1 second at 100 millisecond intervals. Each value includes a digital quantity after analog-to-digital conversion and the current signal frequency value obtained through zero-crossing detection. The control unit packages the intelligent safety protection conductor's identification, real-time location data, and short-circuit status data into a reporting message and sends it to the dispatch platform via a remote communication module.

[0065] After receiving the report, the dispatch platform extracts the smart security protection wire identification field from the report and compares it character by character with the bound smart security protection wire identification recorded in the control benchmark. If all characters match, the smart security protection wire identification matching degree is set to 1; otherwise, it is set to 0.

[0066] Simultaneously, the dispatching platform extracts real-time location data from the reported messages, performs the same coordinate normalization transformation, and obtains the reported planar coordinates. The platform calculates the Euclidean distance between the reported planar coordinates and the coordinates of the bound points in the control benchmark, obtaining the spatial offset in meters. When normalizing the spatial offset into a position deviation, the platform selects the corresponding normalization mapping relationship based on the operation scenario type in the control benchmark. For in-station operation scenarios, the preset allowable distance threshold is 5 meters, and the mapping relationship is as follows: when the spatial offset is less than or equal to 0.5 meters, the position deviation is 1; when the spatial offset is greater than 0.5 meters but less than or equal to 5 meters, the position deviation decreases linearly, i.e., linearly decreasing from 1 to 0; when the spatial offset is greater than 5 meters, the position deviation is 0. For interval operation scenarios, the preset allowable distance threshold is 100 meters. If the standard work order data contains the limit distance value filled in by the safety officer, this value is used, and the mapping relationship uses the same linear decay logic, only replacing 5 meters with this threshold. The closer the position deviation value is to 1, the more closely the actual position of the intelligent safety protection wire matches the bound point.

[0067] Furthermore, the short-circuit current sampling sequence in the reported message is processed to obtain the short-circuit validity coefficient. The platform first performs continuous trend verification on 10 current sampling points to eliminate abnormal jump points caused by electromagnetic interference: the absolute value of the difference between two adjacent points of the 10 sampling points is calculated, and the average and standard deviation of these absolute values ​​are obtained; if the absolute value of the difference between a sampling point and its previous point exceeds the average plus twice the standard deviation, the point is determined to be an anomaly and is removed. If the number of remaining valid sampling points after removal is less than 5, the platform determines that the data of the current sampling period is invalid, the short-circuit validity coefficient is directly set to 0, and the data of the next period is waited for reprocessing.

[0068] After removing outliers, the current amplitude of the remaining valid sampling points is calculated by averaging the digital values ​​of each valid sampling point and converting them to milliamp values. When extracting the signal frequency, the average of the frequency values ​​recorded at each valid sampling point is used. The platform matches the corresponding valid short-circuit judgment interval according to the operation scenario type in the control benchmark. For station-based operation scenarios corresponding to 25Hz phase-sensitive track circuits, the valid short-circuit judgment interval is a current amplitude of 200 mA to 800 mA and a signal frequency of 24.5Hz to 25.5Hz. For section operation scenarios corresponding to ZPW-2000 uninsulated track circuits, the valid short-circuit judgment interval is a current amplitude of 30 mA to 100 mA and a signal frequency falling within ±11Hz of the center frequency of the carrier frequency in that section. The platform calculates the short-circuit effectiveness coefficient based on the degree to which the current amplitude and signal frequency fall within the valid short-circuit judgment interval. If the short-circuit indicator flag is 1, and both the current amplitude and signal frequency fall completely within the corresponding range, the short-circuit effectiveness coefficient is 1. If the short-circuit indicator flag is 1, but the current amplitude is below the lower limit of the range but still greater than 50% of the lower limit, the short-circuit effectiveness coefficient is linearly reduced between 0.6 and 0.9 based on the proportion of amplitude deviation from the lower limit. If the current amplitude is below 50% of the lower limit, or the signal frequency significantly exceeds the range, the short-circuit effectiveness coefficient drops below 0.3. If the short-circuit indicator flag is 0, the short-circuit effectiveness coefficient is directly set to 0. Through this calculation, the platform can verify the intelligent safety protection conductor's own judgment of the short-circuit state and identify latent short-circuit failures caused by poor contact, loose connections in the intelligent safety protection conductor, etc.

[0069] Furthermore, after obtaining the identity matching degree, position deviation degree, and short-circuit effectiveness coefficient of the intelligent security protection conductor, the three index values ​​are weighted and fused to generate a protection compliance value. One weighted fusion method is as follows: the identity matching degree of the intelligent security protection conductor has a weight of 0.4, the position deviation degree has a weight of 0.3, and the short-circuit effectiveness coefficient has a weight of 0.3. The weighted sum of the three values ​​yields a value between 0 and 1. That is, the protection compliance value equals the product of the identity matching degree and 0.4, plus the product of the position deviation degree and 0.3, plus the product of the short-circuit effectiveness coefficient and 0.3. The closer the protection compliance value is to 1, the higher the comprehensive compliance degree of the current intelligent security protection conductor in the three dimensions of identity, position, and short-circuit status. 1 indicates that all three dimensions of identity, position, and short-circuit status are in the optimal compliance state. This protection compliance value is used as the input for step S103 to compare with the compliance threshold and drive the generation of the warning signal.

[0070] A basic compliance threshold is preset, for example, 0.6. As an optional implementation, when comparing the protection compliance value with the compliance threshold, the platform further extracts the work scenario type from the control benchmark and the cross-state information of adjacent work intervals obtained from the work management system. The cross-state information of adjacent work intervals is determined and output by the work management system based on whether there are overlapping areas and time windows for work orders in adjacent intervals within the same time period. When cross-operations between adjacent work intervals are detected, the platform corrects the basic compliance threshold, raising it to 0.8; when no cross-operations exist, the basic compliance threshold remains unchanged. Subsequently, the platform compares the protection compliance value with the currently effective compliance threshold.

[0071] If the protection compliance value is greater than or equal to the currently effective compliance threshold, the current status is deemed compliant, and monitoring continues on a periodic basis. If the protection compliance value is lower than the currently effective compliance threshold, the platform matches the corresponding anomaly type based on the values ​​of each sub-indicator and generates an early warning signal. The anomaly type matching logic is preset in the platform: when the identity matching degree of the intelligent safety protection conductor is 0, it is determined to be an anomaly of using the wrong intelligent safety protection conductor; when the identity matching degree is 1 but the position deviation degree is less than 0.5, it is determined to be a positioning deviation anomaly; when the short-circuit effectiveness coefficient is less than 0.3, it is determined to be a short-circuit anomaly, which includes situations such as intelligent safety protection conductor detachment and poor contact caused by rail surface corrosion; when multiple indicators deteriorate simultaneously, it is classified as a comprehensive anomaly.

[0072] The warning level is determined based on the type of anomaly. Misuse of intelligent safety protection wires and short circuits are classified as high-level anomalies, while location deviations are classified as medium or high-level based on the specific numerical value of the deviation. The warning signal includes the anomaly type, warning level, current protection compliance value, intelligent safety protection wire identification, and binding point information. Following the pre-stored warning distribution path in the control benchmark, the warning signal is sent to the remote communication module of the target intelligent safety protection wire and the network address of the dispatch terminal. Upon receiving the warning signal, the intelligent safety protection wire activates its internal audible and visual alarm to issue a field alarm, prompting the protection personnel to immediately check and handle the situation. Upon receiving the warning signal, the dispatch terminal displays an alarm window and plays a prompt sound on the display interface, while simultaneously recording the alarm log.

[0073] As an optional implementation, monitoring of the target intelligent safety protection wire continues after the early warning signal is issued. In each subsequent reporting cycle, the location data and short-circuit status data reported in real time by the intelligent safety protection wire are received, and the protection compliance value is recalculated. If the updated protection compliance value recovers to a level greater than or equal to the currently effective compliance threshold, and this condition is met for multiple consecutive cycles (e.g., three cycles), the anomaly is determined to have been eliminated, an early warning cancellation signal is generated, and the early warning cancellation signal is sent to both the intelligent safety protection wire and the dispatch terminal. Upon receiving the early warning cancellation signal, the intelligent safety protection wire stops its audible and visual alarms, and the dispatch terminal removes the activation status of the alarm record, thus forming a closed-loop verification from early warning triggering to early warning cancellation.

[0074] In parallel with the aforementioned anomaly monitoring based on protection compliance values, the scheduling platform performs timing verification based on the timing nodes bound in the control benchmark. Using its own system clock as a reference, it polls the setting reminder node, setting the latest node, removing the reminder node, and removing the latest node in chronological order.

[0075] When the system time reaches the set reminder node, the short-circuit indication flag bit in the last reported message from the target intelligent safety protection wire is read. If the flag bit is 0, a text prompt message is generated, reminding the intelligent safety protection wire to be set up in time, and is sent to the intelligent safety protection wire via wireless channel. The intelligent safety protection wire can prompt the protection personnel through the display screen or voice broadcast, and the prompt message is also pushed to the dispatch terminal. If the flag bit is already 1, no prompt is made.

[0076] When the system time reaches the set latest node, the short-circuit indicator flag is read again. If the flag is still 0, it is determined that the intelligent safety protection conductor setup was not completed within the specified time limit, and a setup timeout warning signal is generated. The warning level is high, and the warning signal is pushed to the dispatch terminal and associated management terminal, triggering the on-site audible and visual alarm of the target intelligent safety protection conductor itself. If the flag is 1, no warning is generated.

[0077] When the system time reaches the removal reminder node, the short-circuit indicator flag is read. If the flag is 1, a removal preparation prompt message is generated, reminding the safety officer that the work is nearing completion and the intelligent safety protection wire should be removed. This message is sent to the intelligent safety protection wire and the dispatch terminal. If the flag is 0, no action is taken.

[0078] When the system time reaches the latest node removal time, the short-circuit indicator flag is read again. If the flag is still 1 at this time, a removal timeout warning is generated, and the alarm method is the same as the timeout setting.

[0079] The results of each time-series node verification are recorded in log form. The actual setup and removal times of the target intelligent safety protection conductor are identified and recorded from the reported data stream. The actual setup time is determined as follows: starting from the effective date of the control benchmark, the first reporting cycle in which the short-circuit indicator flag changes from 0 to 1 and the short-circuit effectiveness coefficient calculated for that cycle is greater than 0.6 is recorded as the actual setup time. The actual removal time is determined as follows: the reporting cycle in which the short-circuit indicator flag changes from 1 to 0 is recorded as the actual removal time.

[0080] As an optional implementation, the time deviation between the actual setting time and the latest setting node in the control benchmark is calculated, and the time deviation between the actual removal time and the latest removal node is also calculated. For the same type of operation, such as operations with the same type of daylight window in the same work area, the time deviation of the most recent 5 operations of this type is extracted after each operation. If the actual setting time of 5 consecutive operations is later than the latest setting node, i.e., the deviation is consistently positive, the control benchmark timing node for subsequent operations of this type is adaptively corrected: the average of the most recent 5 setting time deviations is calculated, and half of this average is taken as the correction step size. The latest setting node in the newly generated control benchmark is adjusted to be delayed, with the adjustment amount not exceeding 30% of the original setting time; at the same time, the removal reminder node is appropriately shifted to be advanced to allow more time for removal preparation. The corrected node time is automatically applied to the control benchmark generated for subsequent operations of the same type.

[0081] After completing the verification of all time-series nodes, the verification status of the four nodes (setting reminders, setting the latest time, canceling reminders, and canceling the latest time), whether timeout warnings were triggered, the deviation between the actual setting and cancellation times and the plan, and the adaptive correction results are summarized to generate the protection and control result data for this operation.

[0082] The above method can be implemented collaboratively by a data analysis module, a status analysis module, a status early warning module, and a track protection module deployed within the scheduling system. The data analysis module acquires pre-stored interval point data and work order data, completes standard point coordinate transformation, standard work order data verification, and generates control benchmarks. The status analysis module receives real-time reported position data and short-circuit status data from the intelligent safety protection conductor, calculates the intelligent safety protection conductor's identity matching degree, position deviation degree, and short-circuit effectiveness coefficient, and integrates them to generate a protection compliance value. The status early warning module performs compliance threshold comparison, anomaly type matching, early warning signal generation and issuance, and early warning cancellation verification. The track protection module performs binding timing node verification, generates timeout early warnings, records the actual setting and removal times and performs adaptive corrections, and finally outputs the protection control results.

[0083] Preferably, through the method of this embodiment, each intelligent safety protection conductor used at the track operation site is incorporated into a three-dimensional quantitative monitoring system that integrates identity, location, and short-circuit status. The positioning and short-circuit sensing capabilities of the intelligent safety protection conductor itself are combined with the control benchmark, timing constraints, and dynamic thresholds of cross-operations of the scheduling platform. When abnormal situations such as setting timeout, misuse of intelligent safety protection conductor, positioning deviation, or short-circuit failure occur, a two-way warning is automatically triggered at the intelligent safety protection conductor end and the scheduling end. The warning is automatically lifted after the abnormality is eliminated through continuous verification, forming a closed-loop control system for the entire cycle from operation preparation to completion.

[0084] This application integrates the single BeiDou positioning, transformer short-circuit self-testing, and wireless communication capabilities of intelligent safety protection conductors with the control benchmark of the scheduling platform. It establishes an assessment of the intelligent safety protection conductor's identity, spatial location, and short-circuit status. In each reporting cycle, it synchronously calculates the intelligent safety protection conductor's identity matching degree, position deviation degree, and short-circuit effectiveness coefficient, fusing them into a protection compliance value. This value is compared with a dynamic compliance threshold considering the cross-state of adjacent work areas. It automatically identifies incorrect use of intelligent safety protection conductors, positioning deviations, and short-circuit anomalies, triggering bidirectional warnings. After the anomaly is eliminated, the warning is automatically lifted after continuous and stable verification. Parallel execution of timing node verification automatically detects timeout behavior and triggers alarms at the start and end boundaries of setting and removing conductors. Actual operational deviations are statistically analyzed and adaptively corrected for subsequent similar operations' timing nodes. This enables the setting and removal of intelligent safety protection conductors to achieve closed-loop control through proactive reporting of conductor status and automatic platform comparison and judgment, eliminating information delays and potential human error, and improving the accuracy of intelligent detection of intelligent safety protection conductors.

[0085] Furthermore, acquire pre-stored interval point data and work order data, establish the binding relationship between work orders, corresponding interval points, and target intelligent safety protection guide lines, and generate control benchmarks including bound intelligent safety protection guide line identifiers, bound point coordinates, and bound time sequence nodes, including:

[0086] S201. Perform coordinate system normalization transformation on the collected original coordinate data of interval points to obtain standard point coordinates under a unified coordinate system;

[0087] S202. Perform field mapping and format validation on the work order data to obtain standard work order data containing work time period, work interval identifier, and specified intelligent safety protection wire identifier;

[0088] S203. Associate and bind the standard point coordinates and standard work order data with the identity identifier of the corresponding target intelligent safety protection wire to generate a control benchmark including the bound intelligent safety protection wire identifier, the bound point coordinates and the bound time sequence nodes.

[0089] In this embodiment, the original data of interval points uploaded by the mobile terminal is acquired. Each point record contains the BeiDou positioning coordinates collected by the mobile terminal directly above the rail surface. These coordinates use the WGS-84 geodetic coordinate system and are represented by longitude, latitude, and altitude values. The record also includes the point name, the name of the line to which it belongs, and the mileage marker attribute fields. Coordinate system normalization transformation is performed on the coordinate fields of each point record. The processing object is the geodetic coordinate field in the original interval point data, and the processing basis is the Gauss-Kruger projection parameter based on the central meridian of the line to which the point is located. The longitude value of the central meridian can be retrieved from the line basic information table by the name of the line to which it belongs. During the transformation, the longitude and latitude values ​​of the geodetic coordinates are read and substituted into the Gauss-Kruger forward calculation process to obtain the plane X coordinate value and plane Y coordinate value in meters. The altitude value is directly retained.

[0090] After the conversion, all point coordinates are unified into standard point coordinates in this Cartesian coordinate system and stored in a standard point coordinate table. This conversion allows the calculation of the spatial offset between the real-time reported position of the intelligent safety protection guide and the bound point to be directly calculated on a two-dimensional plane using coordinate differences to determine the Euclidean distance. Each offset determination only requires reading two sets of planar coordinate values ​​and taking the square root of the sum of the differences. The calculation path is fixed and does not rely on spherical distance conversion. In high-concurrency reporting scenarios, the offset determination process of each intelligent safety protection guide can remain independent and fast.

[0091] Furthermore, the scheduling platform obtains work order data from the work management system. Work order data is generated by operations management personnel through the work management system and includes strings for work start time, work end time, work interval identifier, identification string for the specified intelligent safety protection wire, employee ID string, and work scenario type identifier. Field mapping and format validation are performed on the work order data. The processing targets are each original field in the work order, and the processing is based on the internally defined standard work order data structure and validation rule set. The field mapping process fills each original field into the standard work order data structure according to rules: the work start time string and the work end time string are parsed in year-month-day-hour-minute-second format and converted into timestamp integer values; the intelligent safety protection wire identification string is compared one by one with the list of registered intelligent safety protection wire numbers in the intelligent safety protection wire information database. The intelligent safety protection wire information database is a data table maintained by the scheduling platform. Each record contains the intelligent safety protection wire identification, communication address, current network status, and the most recent reporting time; the work interval identification string is matched with the belonging interval name stored in the standard point coordinate table; the protection employee number is checked for existence with the personnel information database; and the work scenario type identifier is compared value by value with the preset enumeration value set.

[0092] If any field fails validation, the work order is marked as abnormal and returned to the job management system; standard work order data is obtained after all validations pass. This step intercepts data quality issues such as incorrect field formatting, missing smart safety protection wire numbers, and mismatches between interval names and existing points before the work order enters the binding process. This prevents erroneous work orders from generating incorrect binding relationships and eliminates the systemic risk of using the wrong smart safety protection wire or binding the wrong point due to manual input errors.

[0093] Furthermore, the scheduling platform uses the designated intelligent safety protection guide identification in the standard work order data as the primary key, extracts all standard point coordinates that match the work section identification in the work order from the standard point coordinate table, and associates the intelligent safety protection guide identification, the extracted standard point coordinates' plane X and plane Y coordinate values, and the binding time sequence nodes derived from the work period to generate a control benchmark record. The derivation method of the binding time sequence nodes is as follows: read the work start time timestamp and work end time timestamp in the standard work order data; using the work start time as the benchmark, subtract the first offset seconds from the timestamp to obtain the timestamp for setting the reminder node (the first offset seconds is 300 seconds); add the second offset seconds to the work start time to obtain the timestamp for setting the latest node (the second offset seconds is 600 seconds); using the work end time as the benchmark, subtract the third offset seconds from the timestamp to obtain the timestamp for removing the reminder node (the third offset seconds is 1200 seconds); and use the work end time itself as the timestamp for removing the latest node.

[0094] Preferably, the aforementioned offset in seconds is stored as a configurable parameter in the parameter configuration table of the scheduling platform. After the association and binding are completed, the control benchmark record is written into the control benchmark data table. Each record includes the bound intelligent safety protection guide identifier, the bound point plane X coordinate value, the bound point plane Y coordinate value, the set reminder node timestamp, the set latest node timestamp, the removed reminder node timestamp, the removed latest node timestamp, the work scenario type, and the work order number. This binding solidifies the three elements of intelligent safety protection guide identity, spatial location, and time window into a structured benchmark. Subsequent compliance calculations and timing verifications are all based solely on this benchmark, ensuring from the source that every location comparison and every timing node trigger corresponds to the specific intelligent safety protection guide and specific work area specified in the work order.

[0095] Furthermore, the system receives real-time location data and short-circuit status data from the target intelligent safety protection conductor, calculates and fuses the intelligent safety protection conductor's identity matching degree, location deviation degree, and short-circuit effectiveness coefficient based on the control benchmark, and generates a protection compliance value, including:

[0096] S301. Receive the real-time location data and short-circuit status data reported by the target intelligent safety protection wire, and obtain the reported data;

[0097] S302. Extract the smart safety protection wire identification from the reported data and perform a bit-by-bit consistency comparison with the bound smart safety protection wire identification in the control benchmark to obtain the smart safety protection wire identification matching degree.

[0098] S303. Extract the real-time location data from the reported data and the coordinates of the bound points in the control benchmark, calculate the spatial offset, and perform normalization to obtain the position deviation.

[0099] S304. Extract the short-circuit current characteristic parameters from the reported data, compare them with the effective short-circuit judgment criteria, and calculate the short-circuit effectiveness coefficient.

[0100] S305. Calculate the protection compliance value by combining the identity matching degree, position deviation degree, and short-circuit effectiveness coefficient of the intelligent safety protection conductor.

[0101] In this embodiment, wireless communication base stations deployed along the railway line receive reporting messages from the target intelligent safety protection conductor at 2-second intervals. The payload of each reporting message includes an intelligent safety protection conductor identification field, a real-time location data field, and a short-circuit status data field. The intelligent safety protection conductor identification field contains the conductor's unique factory serial number; the real-time location data field contains the longitude, latitude, and altitude values ​​output by the single BeiDou positioning module; the short-circuit status data field contains a short-circuit indicator flag and a set of short-circuit current sampling sequences. The short-circuit indicator flag is generated by the intelligent safety protection conductor control unit based on whether the current transformer output exceeds a preset minimum induction threshold; 1 indicates a short circuit, and 0 indicates no short circuit or that the current transformer has been removed. The short-circuit current sampling sequence contains 10 instantaneous current values ​​collected at 100-millisecond intervals within one sampling period, each instantaneous current value accompanied by a signal frequency value obtained from zero-crossing detection. The above fields are parsed from the message payload, and the intelligent safety protection conductor identification, real-time location data, and short-circuit status data are collectively referred to as the reporting data. The reported data is immediately sent to the subsequent identity matching, location deviation, and short-circuit validity calculation stages after each reporting cycle is completed.

[0102] Furthermore, the string value of the intelligent safety protection wire identification field is extracted from the reported data, and the string value of the intelligent safety protection wire identification field is read from the corresponding control benchmark record. The two strings are compared character by character, starting from the first character and ending at the last. If the two strings are of equal length and the characters at each corresponding position are identical, the intelligent safety protection wire identification matching degree is output as 1; if any character is inconsistent or the string lengths are unequal, the intelligent safety protection wire identification matching degree is output as 0. The intelligent safety protection wire identification matching degree is passed to the fusion calculation step as an integer value, serving as a factor in the subsequent weighted fusion. This binary output directly determines whether the incorrect use of the intelligent safety protection wire can enter the compliance channel: once the identification matching degree is 0, regardless of the location and short-circuit status indicators, the overall compliance value will be significantly lowered.

[0103] Specifically, the longitude and latitude values ​​of the real-time location data are extracted from the reported data. Using the same Gauss-Kruger projection forward calculation parameters as when generating the control benchmark, the geodetic coordinates are converted into reported plane X-coordinate values ​​and reported plane Y-coordinate values. The plane X-coordinate values ​​and plane Y-coordinate values ​​of the bound point coordinates are read from the control benchmark record, and the Euclidean distance between the two plane coordinate points on the two-dimensional plane is calculated to obtain the spatial offset in meters. When converting the spatial offset into position deviation, a normalization threshold is selected according to the operation scenario type in the control benchmark. For in-station operation scenarios, the threshold is 5 meters: the position deviation is 1 when the spatial offset does not exceed 0.5 meters; when the spatial offset is between 0.5 meters and 5 meters, the position deviation decreases linearly from 1 to 0; when it exceeds 5 meters, the position deviation is 0. For interval operation scenarios, the threshold is 100 meters. If the standard work order data contains a limit distance value, that value is used. The mapping logic is the same as for in-station scenarios, only the corresponding threshold is used instead of 5 meters. The position deviation is output as a floating-point value between 0 and 1, where 1 indicates a perfect match and 0 indicates a serious deviation.

[0104] The short-circuit current sampling sequence is extracted from the short-circuit status data field of the reported data. The sequence contains the digital current values ​​of 10 sampling points and the corresponding signal frequency values. First, a continuous trend verification is performed: the absolute value of the difference between the digital current values ​​of any two adjacent sampling points is calculated, resulting in a difference sequence; the mean and standard deviation of this difference sequence are then calculated; for each sampling point, if the absolute value of its difference from the previous point exceeds the mean plus twice the standard deviation, it is marked as an outlier and removed. After removal, if fewer than 5 valid sampling points remain, the sampling data for this cycle is deemed invalid, the short-circuit validity coefficient is directly output as 0, the current processing cycle ends, and the system waits for the next cycle's data.

[0105] If there are at least 5 valid sampling points, take the average value of the digital current values ​​of the valid sampling points. Convert this average value to milliampere (mA) based on the calibration coefficient of the current transformer detection unit, and use this as the current amplitude. Take the average value of the frequency values ​​of the valid sampling points as the signal frequency. Read the operation scenario type in the control benchmark and match it with the valid short-circuit judgment benchmark. The judgment benchmark for in-station scenarios is a current amplitude between 200 mA and 800 mA and a signal frequency between 24.5 Hz and 25.5 Hz; the judgment benchmark for interval scenarios is a current amplitude between 30 mA and 100 mA and a signal frequency within ±11 Hz of the carrier frequency center frequency of that interval. The short-circuit effectiveness coefficient is determined by combining the short-circuit indicator flag, current amplitude, and signal frequency: If the short-circuit indicator flag is 1 and both the current amplitude and signal frequency are within the corresponding reference range, the coefficient is 1; if the short-circuit indicator flag is 1 but the current amplitude is below the lower limit of the range but above 50% of the lower limit, the coefficient decreases linearly between 0.6 and 0.9 according to the proportion of amplitude deviation from the lower limit; if the current amplitude is below 50% of the lower limit or the signal frequency exceeds the reference range, the coefficient drops below 0.3; if the short-circuit indicator flag is 0, the coefficient is directly 0. The short-circuit effectiveness coefficient is output as a floating-point value between 0 and 1.

[0106] Furthermore, the short-circuit current characteristic parameters are extracted from the reported data and compared with the effective short-circuit judgment criteria to obtain the short-circuit effectiveness coefficient, including:

[0107] S401. Perform continuous trend verification on multiple sets of short-circuit current sampling data within the same sampling period, remove abnormal sampling points that deviate from the continuous change trend, and obtain effective current sampling data.

[0108] S402. Extract the current amplitude and signal frequency from the effective current sampling data and match them with the effective short-circuit judgment interval of the corresponding operation scenario in the control benchmark.

[0109] S403. The short-circuit effectiveness coefficient is calculated based on the degree to which the current amplitude and signal frequency fall within the effective short-circuit judgment range.

[0110] In this embodiment, the short-circuit current sampling sequence within the same sampling period is extracted from the short-circuit state data field of the reported data. The sequence contains 10 sets of current sampling data collected at 100-millisecond intervals within one sampling period. Each set of data consists of a digital current quantity converted from analog to digital and a signal frequency value obtained through zero-crossing detection. Continuous trend verification is performed on the digital current quantity sequence to identify and eliminate abnormal sampling points caused by transient electromagnetic interference.

[0111] During verification, the absolute value of the difference between the digital current values ​​of every two adjacent sampling points in the sequence is first calculated to obtain a difference sequence reflecting the current fluctuation amplitude of adjacent sampling points. Next, the mean and standard deviation of this difference sequence are calculated. The mean represents the normal current fluctuation level between adjacent points, and the standard deviation reflects the consistency of the fluctuation. Using the mean plus twice the standard deviation as the anomaly detection threshold, the original sampling sequence is reviewed: for each sampling point, the absolute value of the difference between its digital current value and the previous sampling point is taken. If this value is greater than the detection threshold, the sampling point is marked as an anomaly and removed; if it does not exceed the threshold, it is retained. After traversing all sampling points, the number of remaining valid sampling points is counted. If the number of valid sampling points is less than 5, the data for the entire sampling period is deemed invalid, the short-circuit validity coefficient is directly set to 0, and the processing for this period ends; if the number of valid sampling points is greater than or equal to 5, the set of retained sampling points is output as valid current sampling data. The threshold for continuous trend verification is determined entirely by the statistical characteristics of the current sampling sequence itself, without relying on external fixed empirical values. It can automatically adapt to the field interference level in different electromagnetic environments such as 25Hz phase-sensitive track circuits and ZPW-2000 non-insulated track circuits, so that the extracted current amplitude and signal frequency reflect the true steady-state value of the short-circuit current rather than occasional spikes.

[0112] The current amplitude and signal frequency are extracted from the effective current sampling data output by S401. The current amplitude extraction path is as follows: Take the arithmetic mean of the digital current values ​​from all effective sampling points to obtain an average digital value; using the intelligent safety protection conductor's identification identifier as an index, read the calibration conversion coefficient of the current transformer detection unit from the intelligent safety protection conductor parameter table. This coefficient defines the correspondence between the digital value and the milliampere value; multiply the average digital value by this coefficient to obtain the current amplitude in milliamperes. The signal frequency extraction path is as follows: Take the arithmetic mean of the signal frequency values ​​recorded from all effective sampling points as the signal frequency for the current sampling period.

[0113] After obtaining the current amplitude and signal frequency, the operation scenario type field corresponding to the intelligent safety protection conductor in the control benchmark is read, and the effective short-circuit judgment interval for the corresponding scenario is retrieved from the track circuit parameter configuration table. The track circuit parameter configuration table is a pre-set parameter table. The records corresponding to the in-station scenario include a lower limit of current amplitude of 200 mA, an upper limit of current amplitude of 800 mA, a lower limit of signal frequency of 24.5 Hz, and an upper limit of signal frequency of 25.5 Hz; the records corresponding to the interval scenario include a lower limit of current amplitude of 30 mA and an upper limit of current amplitude of 100 mA. The signal frequency is based on the center frequency of the carrier frequency of that section, ranging from the center frequency of the carrier frequency minus 11 Hz to the center frequency of the carrier frequency plus 11 Hz. The center frequency values ​​of the carrier frequency of each section are pre-entered into this table according to the line and section. The current amplitude and signal frequency are used as inputs for S403. The judgment interval is matched with the corresponding track circuit system according to the operation scenario, so that the independent track circuit working parameters in the station and the section directly constrain the judgment basis of short circuit validity, no longer sharing a unified threshold. This avoids the situation that the section short circuit current may be judged as invalid by the station threshold or the station frequency fluctuation may be judged as abnormal by the section threshold when judging across systems.

[0114] Furthermore, based on the current amplitude and signal frequency, combined with the short-circuit indication flag in the reported data, a short-circuit validity coefficient is calculated. The short-circuit validity coefficient is a value between 0 and 1, where 1 corresponds to a fully valid short-circuit state, and 0 corresponds to no short circuit or complete failure. The judgment process consists of three layers of progressive logic. The first layer checks the short-circuit indication flag: if the flag is 0, the short-circuit validity coefficient of 0 is directly output, and the current amplitude and frequency are not judged further. The second layer checks the current amplitude: if the flag is 1, the current amplitude is compared with the current amplitude range of the valid short-circuit judgment interval. If the current amplitude falls within the lower limit to upper limit interval, and the signal frequency also falls within the frequency range, the coefficient is 1. If the current amplitude is lower than the lower limit but higher than 50% of the lower limit, and the frequency is within the interval, the coefficient is linearly interpolated between 0.6 and 0.9 according to the degree of deviation of the current amplitude from the lower limit. When the current amplitude is exactly equal to the lower limit, the coefficient is 0.9; when it is equal to 50% of the lower limit, the coefficient is 0.6. When the current amplitude is less than 50% of the lower limit, regardless of the frequency, the coefficient drops to below 0.3, specifically 0.2.

[0115] The third layer checks the signal frequency: if the flag bit is 1 and the current amplitude is within the acceptable range, but the signal frequency exceeds the frequency range, the coefficient also drops below 0.3. The segmented thresholds and interpolation coefficients used for the three-layer judgment are stored in the short-circuit judgment parameter table as configuration parameters. The short-circuit validity coefficient is output and sent to the fusion calculation stage. Through the three-layer progressive verification of flag bit, current amplitude, and signal frequency, the assessment of short-circuit quality is refined from a single judgment of continuity to a quantitative superposition of three dimensions: self-judgment of intelligent safety protection conductor, continuity degree, and system matching. When the intelligent safety protection conductor itself judges a short circuit but the actual current amplitude is low or the frequency deviates, the coefficient is reduced in stages rather than directly set to zero. This can distinguish between the intermediate states of complete short circuit, weakened contact, and near failure, providing a more granular basis for the classification of warning levels.

[0116] Furthermore, the protection compliance value is compared with a preset compliance threshold. If the protection compliance value is lower than the preset compliance threshold, a warning signal is generated based on the corresponding anomaly type, and the warning signal is sent to the corresponding bound target intelligent security protection wire and scheduling terminal, including:

[0117] S501. Compare the protection compliance value with the preset compliance threshold;

[0118] S502. If the protection compliance value is lower than the preset compliance threshold, the corresponding abnormal category and warning level are matched by the pre-stored abnormal type mapping table according to the deviation range of the compliance value, and a warning signal of the corresponding level is generated.

[0119] S503. According to the pre-stored early warning distribution path in the control benchmark, the early warning signal is distributed to the corresponding bound target intelligent safety protection wire and dispatch terminal respectively.

[0120] In this embodiment, the protection compliance value generated in the current reporting cycle is obtained from the fusion calculation stage, and the base value of the preset compliance threshold (0.6) is read from the threshold configuration table. The job scenario type field of the current job is read from the control benchmark, and the cross-state identifier of adjacent job intervals is obtained from the job management system. This identifier is output by the job management system after performing spatiotemporal overlap detection on work orders in adjacent intervals within the same time period; the identifier value is 1 when there is an overlap, and 0 when there is no overlap. When the cross-state identifier is 1, the base compliance threshold is increased to 0.8 as the effective compliance threshold; when the cross-state identifier is 0, the effective compliance threshold remains unchanged at 0.6. The protection compliance value is compared with the effective compliance threshold. If the protection compliance value is greater than or equal to the threshold, a compliance identifier is output; if it is less than the threshold, a violation identifier is output. The violation identifier triggers the abnormal matching process in step S502.

[0121] When outputting a violation identifier, the system retrieves the current period's intelligent safety protection wire identity matching degree value, position deviation value, and short-circuit effectiveness coefficient value, and matches the anomaly category and warning level according to the pre-defined rules in the anomaly type mapping table. The anomaly type mapping table is stored in the platform as a data table. Each rule defines a set of indicator value conditions and their correspondence with the anomaly type and warning level: when the intelligent safety protection wire identity matching degree is 0, the anomaly type is misuse of the intelligent safety protection wire, and the warning level is high; when the intelligent safety protection wire identity matching degree is 1 and the position deviation is less than 0.5, the anomaly type is positioning deviation; when the position deviation is between 0.3 and 0.5, the warning level is medium; when the position deviation is less than 0.3, the warning level is high; when the short-circuit effectiveness coefficient is less than 0.3, the anomaly type is short-circuit anomaly, and the warning level is high; when multiple indicators simultaneously meet different anomaly conditions, the anomaly type is comprehensive anomaly, and the warning level is the highest level among the matched types. A warning signal record is generated based on the matching results. The record fields include the anomaly type, warning level, current protection compliance value, smart security protection wire identification, binding point information, and timestamp.

[0122] Furthermore, the pre-stored early warning distribution path is read from the control benchmark. This distribution path includes the remote communication address of the target intelligent safety protection conductor and the network address of the dispatch terminal. The remote communication address is the IP address or device identifier of the 4G or 5G communication module within the intelligent safety protection conductor, and the network address is the IP address and port number of the dispatch terminal. The early warning signal record generated by S502 is encapsulated into two distribution messages. One frame is sent to the target intelligent safety protection conductor via the wireless communication network, carrying the anomaly type, early warning level, and audible and visual alarm trigger command. The other frame is sent to the dispatch terminal via the internal dispatch network, carrying all fields of the early warning signal record. After receiving the message, the intelligent safety protection conductor parses the alarm trigger command and drives the internal audible and visual alarm to issue a field alarm using a combination of buzzer sound and LED flashing. After receiving the message, the dispatch terminal displays an alarm window on the display interface, showing the anomaly type, early warning level, intelligent safety protection conductor identification, and binding point information. It also plays an alarm prompt sound and writes it to the alarm log.

[0123] Furthermore, the protection compliance value is compared with a preset compliance threshold, including:

[0124] S601. Extract the operation scenario type and the cross-state of adjacent operation intervals from the control benchmark;

[0125] S602. Match the corresponding baseline threshold according to the type of work scenario, and adjust the baseline threshold in combination with the cross-state of adjacent work intervals to obtain the currently effective compliance threshold.

[0126] S603. Compare the protection compliance value with the currently effective compliance threshold.

[0127] In this embodiment, the control baseline record corresponding to the current job is read, and the value of the job scenario type field is extracted. This field is inherited from the standard work order data when the control baseline is generated, and the value includes two types: intra-station job and interval job. Simultaneously, the platform initiates a query to the job management system. The query parameters include the job interval identifier, job start time, and job end time of the current job. The job management system searches for other work orders that are spatially adjacent to and time-overlapping with the current job interval within the same time period. If they exist, it returns an adjacent job interval cross-status identifier value of 1; otherwise, it returns an identifier value of 0. The job scenario type value and the adjacent job interval cross-status identifier value are combined into a tuple and passed to S602.

[0128] Specifically, the platform has a built-in threshold configuration table, storing the baseline thresholds for each scenario using the work scenario type as the primary key. The baseline thresholds for both intra-station and inter-area operations are preset to 0.6. The platform uses the work scenario type output by S601 as an index to read the corresponding baseline threshold from the threshold configuration table. Next, it reads the cross-state flag value of adjacent work intervals output by S601. When the flag value is 1, the platform multiplies the baseline threshold by a preset correction factor of 1.33, which is stored in the threshold configuration table, resulting in an effective compliance threshold of 0.8. When the flag value is 0, the effective compliance threshold remains unchanged at the baseline threshold of 0.6. The platform outputs the current effective compliance threshold and sends it to S603. With the threshold increasing from 0.6 to 0.8 under cross-operation status, the protection compliance value must reach a higher comprehensive compliance level to pass the judgment. This means that in scenarios where multiple work intervals are under construction simultaneously and the misinstallation of intelligent safety protection wires may affect adjacent intervals, the platform automatically tightens the judgment threshold.

[0129] Furthermore, the current reporting cycle's protection compliance value, output from the fusion computing stage, is used as the first input, and the effective compliance threshold as the second input. The two values ​​are compared. When the protection compliance value is greater than or equal to the effective compliance threshold, the output status is "compliant," and the platform continues monitoring for the next reporting cycle. When the protection compliance value is less than the effective compliance threshold, the output status is "violation," triggering the S502 anomaly matching process. The comparison stage itself does not modify the threshold or adjust the compliance value; it only outputs a definite status flag as the trigger condition for downstream early warning generation.

[0130] Furthermore, after the warning signal is sent to the corresponding bound target intelligent security protection wire and dispatch terminal, a warning cancellation verification is performed, including:

[0131] S701: Continuously receive real-time location data and short-circuit status data reported by the target intelligent safety protection wire, and update the protection compliance value synchronously.

[0132] S702. When the updated protection compliance value is greater than the preset compliance threshold, a warning cancellation signal is generated.

[0133] S703. Send the warning cancellation signal to the corresponding bound target intelligent security protection wire and dispatch terminal to end the current warning process.

[0134] In this embodiment, the scheduling platform maintains uninterrupted monitoring of the intelligent safety protection conductor after the warning signal is issued, and continues to receive real-time reporting messages from the intelligent safety protection conductor at a 2-second reporting cycle. Upon arrival of each message, parsing and calculation are performed along the same processing path as before the warning was triggered: the intelligent safety protection conductor's identity identifier, real-time location data, and short-circuit status data are extracted from the reporting message; the intelligent safety protection conductor's identity matching degree value, location deviation value, and short-circuit effectiveness coefficient value are recalculated; and the updated three indicators are weighted and fused according to an identity matching degree weight of 0.4, a location deviation weight of 0.3, and a short-circuit effectiveness coefficient weight of 0.3 to generate an updated protection compliance value. A complete fusion calculation is performed in each reporting cycle, and the updated protection compliance value overwrites the old value of the previous cycle.

[0135] After updating the protection compliance value in each reporting cycle, the updated value is compared with the current effective compliance threshold. The effective compliance threshold is determined in the same way as when the warning is triggered. When the updated protection compliance value is greater than or equal to the effective compliance threshold, continuous stability verification is initiated: checking whether the protection compliance values ​​for the previous three consecutive reporting cycles are all greater than or equal to the effective compliance threshold. If the condition is met for three consecutive cycles, the anomaly is determined to have been stably eliminated, and a warning cancellation signal is generated. The warning cancellation signal includes a cancellation type identifier, the serial number of the corresponding original warning signal, the identification of the intelligent safety protection conductor, and a timestamp of the cancellation time. If the continuous stability verification fails, the warning status is maintained and monitoring continues. This continuous stability verification prevents the warning from being immediately cancelled due to a momentary jump in the position of the intelligent safety protection conductor or a brief recovery of the short-circuit current, ensuring that the cancellation is triggered only after the anomaly has been truly and stably eliminated.

[0136] Specifically, the warning issuance path is read from the control baseline. This path includes the remote communication address of the target intelligent safety protection conductor and the network address of the dispatch terminal. The warning cancellation signal is encapsulated into two cancellation messages: one message is sent to the target intelligent safety protection conductor via the wireless communication network, carrying a cancellation type identifier and an audible and visual alarm stop command; the other message is sent to the dispatch terminal via the internal dispatch network, carrying all fields of the warning cancellation signal and the serial number of the corresponding original warning signal. After receiving the cancellation message, the intelligent safety protection conductor parses the audible and visual alarm stop command, shuts down the internal audible and visual alarm, and the on-site alarm is terminated. After receiving the cancellation message, the dispatch terminal matches the recorded alarm log according to the serial number, updates the status of the alarm record from active to cancelled and writes the cancellation time, and simultaneously clears the corresponding alarm window on the display interface or moves it to the historical alarm list. After the cancellation message is successfully issued, the current warning process status is marked as completed.

[0137] Furthermore, based on the bound timing nodes in the control benchmark, timing verification is performed in conjunction with the real-time short-circuit status data of the target intelligent safety protection conductor to obtain the protection control results, including:

[0138] S801. In accordance with the sequence of time nodes in the control benchmark, the verification process of setting reminder nodes, setting timeout nodes, removing reminder nodes, and removing timeout nodes is triggered sequentially.

[0139] S802. When each timing node is triggered, read the real-time short-circuit status data of the target intelligent safety protection wire, compare it with the expected status corresponding to that node, and generate the verification result of the corresponding node.

[0140] S803. Summarize the verification results of all timing nodes to obtain the protection and control results.

[0141] In this embodiment, the timestamps of setting reminder nodes, setting latest nodes, removing reminder nodes, and removing latest nodes are read from the control baseline records and arranged in chronological order. The platform uses its own system clock as a reference and cyclically scans the currently effective but incomplete control baseline records. When the system time reaches the timestamp of any time sequence node, the corresponding verification process for that node is triggered. The triggering order of the four nodes corresponds to the work progress sequence: setting reminders and setting latest nodes come first, constraining the setting behavior of the intelligent safety protection wire; removing reminders and removing latest nodes come last, constraining the removal behavior of the intelligent safety protection wire. After the verification of the previous node is completed, the platform continues to wait for the timestamp of the next node to arrive; the verification of each node does not block each other.

[0142] When each timing node is triggered, the short-circuit indication flag is read from the most recent reported message of the intelligent safety protection wire and compared with the expected state corresponding to the current node. The expected flag for the reminder node is set to 0. If it is actually 0, a text prompt is generated and sent to the intelligent safety protection wire and the dispatch terminal, suggesting that the protection personnel set the intelligent safety protection wire; if it is actually 1, no action is taken. The expected flag for the latest node is set to 1. If it is actually 0, a setting timeout warning signal is generated, with a high warning level, sent to the intelligent safety protection wire and the dispatch terminal, and triggering the intelligent safety protection wire's audible and visual alarm; if it is actually 1, the verification passes. The expected flag for the removal reminder node is set to 1. If it is actually 1, a removal preparation prompt is generated and sent; if it is actually 0, the intelligent safety protection wire has been removed in advance, and no action is taken. The expected flag for removing the latest node is set to 0. If it is still 1, a removal timeout warning signal is generated and an alarm is sent; if it is actually 0, the verification passes. After each node is verified, the output includes the node type, verification time, expected status, actual status, and a pass / fail flag, and is written to the verification log.

[0143] After the latest node verification is completed, the verification results of the four nodes are summarized, including the verification pass status of each node, whether a timeout warning is triggered or removed, the number of prompt messages sent, and the generation and cancellation records of the warnings. The actual setting time and the actual removal time are identified from the reported data stream. The actual setting time is the timestamp when the platform first detects that the short circuit indicator flag changes from 0 to 1 and the short circuit validity coefficient for that period is greater than 0.6. The actual removal time is the timestamp when the short circuit indicator flag changes from 1 to 0. The deviation is calculated with the latest node setting and the latest node removal respectively.

[0144] As an optional implementation, adaptive correction is performed on the timing nodes of similar tasks. Similar tasks refer to tasks within the same work area and with the same daylight window type. After each task is completed, the setting time deviation of the five most recent tasks of that type is extracted. If five consecutive deviations are positive, the average of these five deviations is calculated, and half of this average is used as the correction step size. The latest setting node in the control benchmark for subsequent similar tasks is adjusted to a later position, with the adjustment limit not exceeding 30% of the original offset time. Reminder nodes are simultaneously shifted to an earlier position. The corrected node parameters are automatically applied to subsequently generated control benchmarks. The summarized results, along with the timing node verification details and adaptive correction amount, constitute the protection and control results and are written into the work safety record.

[0145] Furthermore, by summarizing the verification results of all time-series nodes, the protection and control results are obtained, including:

[0146] S901. Record the actual setting time and actual removal time of the target intelligent safety protection wire, and calculate the time deviation with the corresponding bound timing node respectively;

[0147] S902. Adaptively correct the subsequent control benchmark timing nodes for the same type of operation based on the time deviation.

[0148] S903. Combine the verification results of each node with the timing correction information to generate protection and control results.

[0149] In this embodiment, the short-circuit indicator flag and short-circuit validity coefficient in each report message submitted by the target intelligent safety protection wire are continuously recorded throughout the entire lifecycle of the operation task. The actual setting time is identified as follows: starting from the effective date of the control benchmark, the short-circuit indicator flag is checked cycle by cycle. When the short-circuit indicator flag first changes from 0 to 1 and the short-circuit validity coefficient in the same cycle is greater than 0.6, the timestamp of that report message is taken as the actual setting time. The actual removal time is identified as follows: the short-circuit indicator flag is continuously checked. When the short-circuit indicator flag first changes from 1 to 0, the timestamp of that report message is taken as the actual removal time. The latest setting node timestamp and the latest removal node timestamp are read from the control benchmark. The difference between the actual setting time and the latest setting node timestamp is calculated to obtain the setting time deviation. A positive value indicates setting later than planned, and a negative value indicates setting earlier than planned. The difference between the actual removal time and the latest removal node timestamp is calculated to obtain the removal time deviation. A positive value indicates removal later than planned, and a negative value indicates removal earlier than planned. The two deviations, measured in seconds, are written into the deviation record table along with the job number and node type.

[0150] Furthermore, adaptive corrections are performed on the timing nodes of subsequent control benchmarks for the same type of work. Works of the same type are categorized based on work area identifier and window type identifier; tasks within the same work area and with the same window type are grouped into the same type. After each work is completed, the setting time deviation of the five most recent work tasks of that type is extracted from the deviation record table. If five consecutive deviations are positive, the arithmetic mean of these five deviations is calculated, and half of this mean is used as the correction step size, rounded to the nearest second. The correction step size is shifted by the number of seconds for the latest setting node timestamp in the control benchmark for subsequent similar work tasks towards a later direction, and the correction step size is shifted by the number of seconds for the removal reminder node timestamp towards an earlier direction. The upper limit of the correction is set to 30% of the original offset time, meaning the maximum delay of the latest setting node does not exceed 30% of the second offset seconds when the control benchmark is generated, and the maximum advance of the removal reminder node does not exceed 30% of the third offset seconds. The corrected node parameters are stored in the platform parameter configuration table, and the offset seconds are automatically substituted into the calculation when the control benchmark is generated again for this work area and window type.

[0151] Specifically, the verification results and timing correction information of each time-series node are summarized to generate the protection and control results for this operation. The summarized fields include the verification pass status of the four nodes, the triggering status of setting and canceling timeout warnings, the number of notification messages issued, warning signal generation and cancellation records, the actual setting time, the actual cancellation time, the setting time deviation, the cancellation time deviation, whether adaptive correction was triggered, and the correction step size. The summarized results are written to the operation safety record table with the operation number as the primary key, serving as the final result of the protection and control for this operation. This result can be used to generate safety analysis reports and subsequent benchmarks for similar operations.

[0152] like Figure 2 As shown, an intelligent safety protection conductor early warning system for track circuit occupancy is used to implement an intelligent safety protection conductor early warning method for track circuit occupancy, comprising:

[0153] The data analysis module acquires pre-stored interval point data and work order data, establishes the binding relationship between work orders, corresponding interval points and target intelligent safety protection wires, and generates control benchmarks including bound intelligent safety protection wire identifiers, bound point coordinates and bound time sequence nodes.

[0154] The status analysis module receives real-time location data and short-circuit status data reported by the target intelligent safety protection wire, calculates the identity matching degree, position deviation degree and short-circuit effectiveness coefficient of the intelligent safety protection wire based on the control benchmark, and integrates them to generate a protection compliance value.

[0155] The status early warning module compares the protection compliance value with a preset compliance threshold. If the protection compliance value is lower than the preset compliance threshold, it generates an early warning signal by matching the corresponding abnormality type and sends the early warning signal to the corresponding bound target intelligent security protection wire and scheduling terminal.

[0156] The track protection module performs timing verification based on the bound timing nodes in the control benchmark and the real-time short-circuit status data of the target intelligent safety protection conductor to obtain the protection control result.

[0157] The above description is merely a preferred embodiment of this application. The scope of protection of this application is not limited to the above embodiments. All technical solutions falling within the scope of this application's concept are within the scope of protection of this application. It should be noted that for those skilled in the art, any improvements and modifications made without departing from the principles of this application should also be considered within the scope of protection of this application.

Claims

1. A method for early warning of intelligent safety protection conductor occupancy in track circuits, characterized in that, include: Acquire pre-stored interval point data and work order data, establish the binding relationship between work orders, corresponding interval points and target intelligent safety protection wires, and generate control benchmarks including bound intelligent safety protection wire identifiers, bound point coordinates and bound time sequence nodes; Receive real-time location data and short-circuit status data from the target intelligent safety protection wire to obtain the reported data; Extract the smart safety protection wire identification from the reported data and compare it bit by bit with the bound smart safety protection wire identification in the control benchmark to obtain the smart safety protection wire identification matching degree. Extract the real-time location data from the reported data and the coordinates of the bound points in the control benchmark, calculate the spatial offset, and perform normalization to obtain the position deviation. Continuous trend verification is performed on multiple sets of short-circuit current sampling data within the same sampling period, and abnormal sampling points that deviate from the continuous change trend are removed to obtain effective current sampling data; Extract the current amplitude and signal frequency from the effective current sampling data and match them with the effective short-circuit judgment interval of the corresponding operation scenario in the control benchmark. The short-circuit effectiveness coefficient is calculated based on the degree to which the current amplitude and signal frequency fall within the effective short-circuit determination range. The protection compliance value is calculated by combining the identity matching degree, position deviation degree and short circuit effectiveness coefficient of the intelligent safety protection conductor; The protection compliance value is compared with a preset compliance threshold. If the protection compliance value is lower than the preset compliance threshold, a warning signal is generated by matching the corresponding abnormality type, and the warning signal is sent to the corresponding bound target intelligent security protection wire and scheduling terminal. Based on the bound timing nodes in the control benchmark, timing verification is performed in conjunction with the real-time short-circuit status data of the target intelligent safety protection conductor to obtain the protection control result.

2. The intelligent safety protection conductor early warning method for track circuit occupancy according to claim 1, characterized in that, The process involves acquiring pre-stored interval point data and work order data, establishing a binding relationship between work orders, corresponding interval points, and target intelligent safety protection guideways, and generating a control benchmark including the bound intelligent safety protection guideway identifier, bound point coordinates, and bound time sequence nodes, including: Perform coordinate system normalization transformation on the collected raw coordinate data of interval points to obtain standard point coordinates under a unified coordinate system; Perform field mapping and format validation on the work order data to obtain standard work order data that includes work time period, work interval identifier, and specified intelligent safety protection wire identifier; The standard point coordinates and standard work order data are associated and bound with the identity identifier of the corresponding target intelligent safety protection guide, generating a control benchmark that includes the bound intelligent safety protection guide identifier, bound point coordinates, and bound time sequence nodes.

3. The intelligent safety protection conductor early warning method for track circuit occupancy according to claim 1, characterized in that, The protection compliance value is compared with a preset compliance threshold. If the protection compliance value is lower than the preset compliance threshold, a warning signal is generated based on the corresponding anomaly type, and the warning signal is sent to the corresponding bound target intelligent security protection wire and scheduling terminal, including: The protection compliance value is compared with the preset compliance threshold; If the protection compliance value is lower than the preset compliance threshold, the corresponding abnormal category and warning level are matched with the pre-stored abnormality type mapping table according to the deviation range of the compliance value, and a warning signal of the corresponding level is generated. According to the pre-stored early warning distribution path in the control benchmark, the early warning signal is sent to the corresponding bound target intelligent security protection wire and dispatch terminal respectively.

4. The intelligent safety protection conductor early warning method for track circuit occupancy according to claim 3, characterized in that, The comparison of the protection compliance value with the preset compliance threshold includes: Extract the operation scenario type and the intersection status of adjacent operation intervals from the control benchmark; The corresponding baseline threshold is matched according to the type of work scenario, and the baseline threshold is corrected by combining the cross-state of adjacent work intervals to obtain the currently effective compliance threshold. The protection compliance value is compared with the currently effective compliance threshold.

5. The intelligent safety protection conductor early warning method for track circuit occupancy according to claim 3, characterized in that, After the warning signal is sent to the corresponding bound target intelligent security protection wire and dispatch terminal, the warning cancellation verification is performed, including: Continuously receive real-time location data and short-circuit status data from the target intelligent safety protection wire, and update the protection compliance value synchronously. When the updated protection compliance value is greater than the preset compliance threshold, an early warning cancellation signal is generated. The warning cancellation signal is sent to the corresponding bound target intelligent security protection wire and dispatch terminal to end the current warning process.

6. The intelligent safety protection conductor early warning method for track circuit occupancy according to claim 1, characterized in that, Based on the bound timing nodes in the aforementioned control benchmark, timing verification is performed using real-time short-circuit status data of the target intelligent safety protection conductor to obtain the protection control results, including: According to the sequence of time nodes in the control benchmark, the verification process of setting reminder nodes, setting timeout nodes, removing reminder nodes, and removing timeout nodes is triggered in sequence. When each timing node is triggered, the real-time short-circuit status data of the target intelligent safety protection wire is read, compared with the expected status corresponding to that node, and the verification result of the corresponding node is generated. The verification results of all time-series nodes are summarized to obtain the protection and control results.

7. The intelligent safety protection conductor early warning method for track circuit occupancy according to claim 6, characterized in that, The results of summarizing the verification results of all time-series nodes are used to obtain the protection and control results, including: Record the actual setting and removal times of the target intelligent safety protection wire, and calculate the time deviation with the corresponding bound timing nodes; The timing of subsequent control benchmarks for similar operations is adaptively adjusted based on the time deviation. By combining the verification results of each node with the timing correction information, a protection and control result is generated.

8. An intelligent safety protection conductor early warning system for track circuit occupancy, characterized in that, A method for implementing an intelligent safety protection conductor early warning system for track circuit occupancy as described in any one of claims 1 to 7, comprising: The data analysis module acquires pre-stored interval point data and work order data, establishes the binding relationship between work orders, corresponding interval points and target intelligent safety protection wires, and generates control benchmarks including bound intelligent safety protection wire identifiers, bound point coordinates and bound time sequence nodes. The status analysis module receives real-time location data and short-circuit status data reported by the target intelligent safety protection wire, calculates the identity matching degree, position deviation degree and short-circuit effectiveness coefficient of the intelligent safety protection wire based on the control benchmark, and integrates them to generate a protection compliance value. The status early warning module compares the protection compliance value with a preset compliance threshold. If the protection compliance value is lower than the preset compliance threshold, it generates an early warning signal by matching the corresponding abnormality type and sends the early warning signal to the corresponding bound target intelligent security protection wire and scheduling terminal. The track protection module performs timing verification based on the bound timing nodes in the control benchmark and the real-time short-circuit status data of the target intelligent safety protection conductor to obtain the protection control result.

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