A method for fault location of the grounding network of a rail transit signal system

Abstract

The present invention discloses a method for fault location of the grounding network of a rail transit signal system, which relates to the field of signal system faults. The method includes dividing the grounding network into a system network block and an equipment structure block, and monitoring the network data parameter values and the associated data parameter values of key structure nodes. The value range between the abnormal critical value and the maintenance critical value on the same side of the origin is set as the buffer value range, and the value range on the side far from the origin of the two fault critical values on both sides is set as the fault value range. When in the specification value range, the buffer value range and the fault value range respectively, it is determined that the current fault monitoring node is in a fault-free state, a suspected fault state and an error reporting state. By setting the reference value and the critical value and dividing multiple value ranges for classification, the sensitivity to faults in different types of areas in the grounding network and the accuracy of fault state determination are improved, and the advantages and beneficial effects of enhancing the stability and reliability of the system are achieved.

Description

Technical Field

[0001] The present invention relates to the field of signal system faults, and in particular to a method for locating a grounding network fault in a rail transit signal system. Background Art

[0002] In the rail transit signal system, the location of grounding network faults is one of the key technologies to ensure the safe operation of trains. With the acceleration of urbanization and the growth of traffic demand, rail transit systems play an increasingly important role. The grounding network is responsible for transmitting signals and data, interlocking with the train control system, and ensuring that the train follows the prescribed operation plan, avoids collisions and maintains a safe distance during operation. In this context, the location of grounding network faults has become an urgent need to ensure the normal operation of the system. At present, in the existing technology, when locating grounding network faults for rail transit signal systems, the main method is to collect and obtain grounding network data by setting sensors, and set fault diagnosis areas according to different signal units that constitute the grounding network. Since the actual distribution coverage of sensors in different types of diagnostic areas is different, and since the types of faults occurring in different diagnostic areas are different, it is easy to confuse different diagnostic areas when locating grounding network faults in the existing rail transit signal system. The judgment deviation makes it difficult for the signal system to obtain fault data at the overall position, which easily hinders the accurate location and timely repair of the fault, resulting in more data resources and human resources being spent when troubleshooting and locating grounding network faults, which increases the monitoring cost of locating potential faults and reduces the efficiency of fault location. Summary of the invention

[0003] The present invention provides a method for locating a grounding network fault in a rail transit signal system, which solves the problem of low efficiency and accuracy in detecting potential faults when locating faults in different types of areas in a grounding network in an existing rail transit signal system.

[0004] The present invention is achieved through the following technical solutions:

[0005] A method for locating a grounding network fault in a rail transit signal system, the method comprising:

[0006] Step S1: Divide the grounding network into a system network block and an equipment structure block containing multiple nodes, and based on conventional prevention parameters and historical fault records of the grounding network, find and mark key data nodes and key structure nodes as fault monitoring nodes on the system network block and the equipment structure block respectively and record their locations, and at the same time, monitor the network data parameter values ​​on the key data nodes and the associated data parameter values ​​of the key structure nodes on the grounding network;

[0007] Step S2: Obtain the operating parameters and fault parameters of the system network block, and the connection normality and fault status of the device structure block. Based on the operating parameters and connection normality, set the first reference value and the second reference value for each network data parameter value and associated data parameter value respectively. Based on the fault parameters and fault status, set the abnormal critical value and the fault critical value in sequence along the increasing and decreasing directions of the numerical value on each first reference value and second reference value respectively;

[0008] Step S3: Set the number axis with each first reference value and second reference value as the origin respectively. Set the abnormal critical value and the fault critical value on the number axis in sequence to the left and right sides along the origin respectively. Set the value range between the abnormal critical values set on the left and right sides of the origin as the normal value range. Set the value range between the abnormal critical value and the maintenance critical value on the same side of the origin as the buffer value range. Set the value range on the side far from the origin of the two fault critical values on both sides as the fault value range;

[0009] Step S4: When it is found through monitoring that the monitored values of the network data parameter values are respectively within the normal value range, the buffer value range, and the fault value range, determine that the current fault monitoring nodes are in the fault-free state, the suspected fault state, and the fault reporting state respectively. Conduct data investigation and data repair on the key data nodes in the suspected fault state and the fault reporting state respectively, and conduct a repair operation investigation on the repaired key data nodes through data verification to confirm that there is no longer a fault report;

[0010] Step S5: When it is found through monitoring that the monitored values of the associated data parameter values are within the normal value range, the buffer value range, and the fault value range, determine that the current fault monitoring nodes are in the fault-free state, the abnormal state to be inspected, and the fault warning state respectively. Conduct manual inspection and power-off maintenance on the key structure nodes in the abnormal state to be inspected and the fault warning state respectively. After restoring normal operation, continue to monitor the fault monitoring nodes of the system network block and the device structure block.

[0011] When locating the grounding network fault in the rail transit signal system in the current existing technologies, the main method is to collect the grounding network data by setting sensors, and set the fault diagnosis areas according to different signal units that make up the grounding network. Since the actual distribution coverage of the sensors in different types of diagnosis areas varies, and since the fault types that occur in different diagnosis areas are different, it is easy to have a judgment deviation of confusing different diagnosis areas when locating the grounding network fault in the existing rail transit signal system, resulting in the signal system being difficult to obtain the fault data at the overall position, which is likely to hinder the accurate positioning and timely repair of the fault, resulting in more data resources and human resources being spent in troubleshooting and locating the grounding network fault, increasing the monitoring cost of locating potential faults and having a low efficiency of fault location. The present invention provides a method for locating the grounding network fault in the rail transit signal system, which solves the problem of low detection efficiency and accuracy for potential faults when locating the faults in different types of areas in the grounding network of the existing rail transit signal system.

[0012] Further, set a fixed monitoring period for the process of monitoring the fault monitoring nodes, record the recurrence interval period of the fault monitoring nodes in the fault reporting state in each monitoring period, and set a corresponding recurrence period threshold for each recurrence interval period; when all the recurrence interval periods in a monitoring period reach the recurrence period threshold, search for the network data parameter values and the associated data parameter values again, and mark and record the start interval time of the re-search as the node update period.

[0013] Further, both the system network block and the device structure block are respectively divided into several nodes through logical boundaries and physical boundaries.

[0014] Further, the method for searching for the fault monitoring nodes includes: respectively setting a first adaptation evaluation and a second adaptation evaluation for the key data nodes and the key structure nodes, and judging the potential fault degree of different nodes in the system network block and the device structure block through the first adaptation evaluation and the second adaptation evaluation, where

[0015] The content of the first adaptation evaluation includes: performing a fluctuation analysis on the network data parameter values of the system network block, evaluating its fluctuation range and frequency, and evaluating the data transmission delay between the nodes inside the system network block, and marking the nodes with abnormal fluctuations or abnormal transmission delays as key data nodes;

[0016] The content of the second adaptation evaluation includes: monitoring the physical connection state of the key structure nodes and the electrical parameters between the key structure nodes, and recording the changes in the associated data parameters at the structure when the physical connection structure changes, and marking the physical connection structure where the changed associated data parameters are located as the key structure nodes.

[0017] Further, on both the left and right sides of the origin along each number axis, a maintenance critical value is added between the abnormal critical value and the fault critical value to divide the buffer value interval into a first sub-interval and a second sub-interval; the first sub-interval is located between the abnormal critical value and the maintenance critical value, and the second sub-interval is located between the maintenance critical value and the fault critical value.

[0018] Further, within a single monitoring period, the process of determining the state of the key data node further includes:

[0019] When the monitored change range of the network data parameter value of the key data node is between the origin and the fault critical value on one side of the origin, it is determined that the current network data parameter value is an accidental fluctuation. Then, when the parameter value monitoring change range is only within the first sub-interval, data troubleshooting is not performed, and when it reaches the second sub-interval, data troubleshooting is performed on the key data node; when the monitored change range of the network data parameter value is between the fault critical values on both the left and right sides of the origin, it is determined that the current network data parameter value is in a suspected fault state, and data troubleshooting is performed on the key data node.

[0020] Further, within a single monitoring period, the process of determining the state of the key structure node further includes:

[0021] When the monitored change range of the associated data parameter value of the key structure node is between the origin and the fault critical value on one side of the origin, it is determined that the associated device of the current associated data parameter value needs to be abnormally inspected, and manual inspection is performed on the key data node; when the monitored change range of the associated data parameter value is between the fault critical values on both the left and right sides of the origin, it is determined that the current associated data parameter value is in a suspected fault state. Then, when the parameter value monitoring change range is only within the first sub-interval, the associated device is in an abnormally inspected state, and when it reaches the second sub-interval, power-off maintenance is performed on the associated device.

[0022] Compared with the prior art, the present invention divides the grounding network into a system network block and an equipment structure block, finds key data nodes and key structure nodes within these blocks, and classifies operations by setting reference values, critical values, and dividing multiple value intervals, improving the sensitivity to faults in different types of areas in the grounding network and the accuracy of determining the fault state, having the advantages and beneficial effects of enhancing the stability and reliability of the system and reducing the impact of faults on operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] The drawings described herein are used to provide a further understanding of the embodiments of the present invention, form a part of this application, and do not limit the embodiments of the present invention. In the drawings:

[0024] Figure 1 is a flowchart of the present invention;

[0025] Figure 2 It is a schematic structural diagram of the process of the present invention;

[0026] Figure 3 It is a schematic structural diagram of the number axis of the present invention;

[0027] Marks in the attached drawings and corresponding part names:

[0028] A - origin, B - abnormal critical value, C - maintenance critical value, D - fault critical value, L - specification value interval, M - first sub - interval, N - second sub - interval. Detailed implementation manners

[0029] To make the purpose, technical solutions and advantages of the present invention clearer and more understandable, the present invention will be further described in detail below in combination with embodiments and the attached drawings. The illustrative implementation manners of the present invention and their descriptions are only used to explain the present invention and do not limit the present invention. Embodiment

[0030] As Figures 1 - 2 shown, this embodiment is a method for fault location of the grounding network of a rail transit signal system, and the method includes:

[0031] Step S1: Divide the grounding network into a system network block and an equipment structure block containing multiple nodes, and based on the conventional prevention parameters and historical fault records of the grounding network, find and mark key data nodes and key structure nodes as fault monitoring nodes on the system network block and the equipment structure block respectively, and record their positions. At the same time, monitor the network data parameter values on the key data nodes and the associated data parameter values of the key structure nodes on the grounding network;

[0032] Step S2: Obtain the operation parameters and fault parameters of the system network block, and the connection normality and fault status of the equipment structure block. Based on the operation parameters and connection normality, set the first reference value and the second reference value for each network data parameter value and associated data parameter value respectively. Based on the fault parameters and fault status, set the abnormal critical value and the fault critical value in sequence along the increasing and decreasing directions of the values on each first reference value and second reference value;

[0033] Step S3: Set the number axis with each first reference value and second reference value as the origin respectively, set the abnormal critical value and the fault critical value on the number axis in sequence to the left and right sides along the origin, set the value range between the abnormal critical values on the left and right sides of the origin as the specification value interval, set the value range between the abnormal critical value and the maintenance critical value on the same side of the origin as the buffer value interval, and set the value range on the side far from the origin of the two fault critical values on both sides as the fault value interval;

[0034] Step S4: When it is detected through monitoring that the monitored values of the network data parameters are respectively within the specified value range, the buffer value range, and the fault value range, it is determined that the current fault monitoring nodes are in the fault-free state, the suspected fault state, and the fault reporting state respectively. The key data nodes in the suspected fault state and the fault reporting state are respectively subjected to data investigation and data repair, and the repaired key data nodes are subjected to repair operation investigation through data verification to confirm that there is no longer fault reporting;

[0035] Step S5: When it is detected through monitoring that the monitored values of the associated data parameters are within the specified value range, the buffer value range, and the fault value range, it is determined that the current fault monitoring nodes are in the fault-free state, the abnormal state to be inspected, and the fault warning state respectively. The key structure nodes in the abnormal state to be inspected and the fault warning state are respectively subjected to manual inspection and power-off maintenance, and after returning to normal operation, the fault monitoring nodes of the system network block and the device structure block continue to be monitored.

[0036] Among them, regarding the content obtained based on the system network block, the conventional prevention parameters of the grounding network mainly include the resource invocation of the signal system and the numerical values of the normal working parameters. This part focuses on the system network in the rail transit signal system, and the data parameters therein are obtained in real time by monitoring the network data parameter values and the associated data parameter values. The possible data parameters include signal transmission speed, network latency, node communication status, etc. The changes of these parameters may be affected by various factors such as train operation, signal switching, and system load. At the same time, the changes of the data parameters of the key data nodes may reflect the normal operation state or potential faults of the system. The historical fault records mainly include the fault logs and error code records in the grounding network, including recording the detailed information of network faults, including the occurrence time, fault type, influence range, etc., as well as the statistics and analysis of the error codes generated by the system. Regarding the content obtained based on the device structure block, the device structure block focuses on the actual physical connection structure in the rail transit signal system, such as signal lights, sensors, controllers, etc. The connection status of these devices may affect the changes of data parameters. The conventional prevention parameters of the changes in the physical connection structure mainly include the monitoring of the connection status of the device structure and the sensor data monitoring, which are mainly used to monitor the physical connection status between devices in real time to ensure normal connection, and at the same time use sensors to monitor the physical state of the device to detect potential faults in advance. In actual application, the key structure nodes may include the intersection of physical connections, the main control unit of the device, etc. The changes of these structure nodes may cause abnormalities in data parameters. The content of the historical fault records mainly includes the connection fault logs and the device status history records, which are mainly used to record the faults caused by the changes in the physical connection structure, including connection disconnection, line faults, etc., and record the status history of the device, including the changes between the normal state and the abnormal state, as well as the maintenance time, maintenance content, replaced parts, etc. of the device structure.

[0037] Furthermore, the methods for obtaining the operating parameters and fault parameters of the system network block mainly include network monitoring devices, network management systems, and remote monitoring, etc. The network system is monitored in real time to obtain the operating parameters of the signal system, and the real-time operating status and fault information are obtained. The operating parameters may include signal transmission rate, data transmission delay, node communication status, system load parameters, and other contents. The methods for obtaining the normal connection state and fault state of the equipment structure block mainly include manual physical inspection, sensor monitoring, and equipment monitoring, etc. It is mainly used to confirm the physical connection state between devices to check for obvious fault signs; sensors are used to monitor the physical state of the equipment to obtain operating parameters, such as the vibration frequency, temperature, and humidity of the equipment; an equipment monitoring system is deployed to monitor the operating state and connection state of the equipment in real time, and collect operating parameters and fault information. The methods for obtaining the normal connection state and fault state of the equipment structure block, in addition to through remote monitoring or supervision systems, may also include an equipment self-check mechanism and physical inspections and maintenance of the equipment through manual means. The normal connection state of the equipment structure block refers to the physical connection state in which each device in the rail transit signal system maintains normal operation. At the same time, each working parameter node of the equipment is also within the normal range, and each device can exchange information normally to ensure the coordinated operation of the system. The fault state may include the disconnection of the connection between devices, that is, the device loses its normal physical connection, such as cable breakage, loose joints, etc. In the fault state, the working parameters of the device may deviate from the normal range. For example, the signal lamp may become too bright or too dim, the response time of the sensor may be extended, and the controller may output an incorrect signal; at the same time, the data transmission between devices may become unstable or interrupted. This may lead to unsmooth information transmission or program errors, etc., affecting the operation of the entire system.

[0038] Furthermore, the network data parameter values in the system network block mainly describe the impacts caused by changes in data parameters, and the associated data parameter values in the device structure block mainly describe the impacts of data parameter changes caused by changes in physical connection structures. The associated data reference values mainly include monitoring the physical connection status of key structural nodes, including pipeline connectivity, electrical connections of devices, etc.; they also include the status monitoring of electrical parameters, monitoring the electrical parameters between key structural nodes, such as resistance, voltage, etc., to detect whether there are abnormal changes in electrical parameters. The first reference value and the second reference value are the parameter reference values for the fault monitoring nodes at this location to maintain the normal operation of the grounding network, which are determined by the actual operation conditions of the current grounding network or industry standards. In this embodiment, there may be differences in the reference values and number axis settings of the network data parameter values or associated data parameter values of each fault monitoring node. In specific implementation, the setting criteria for the abnormal critical value and the fault critical value are usually based on the operating parameters of the system, connection normality, and fault parameters or states, etc. These criteria can be empirical, based on the historical data of the current grounding network, or stipulated by the standards of this device or system, and can be set by referring to the reference values. Due to the relatively large impact of hardware connection failures, manual inspection or even power-off maintenance is required when relevant failures are located.

[0039] It should be noted that both the system network block and the device structure block are divided into several nodes through logical boundaries and physical boundaries respectively. In specific applications, when divided based on logical boundaries, the system network block can be divided into parts such as a signal system, a communication system, and a interlocking system, and the device structure block can be divided into parts such as a turnout control system, a signal system, and a power supply system. When divided based on physical boundaries, both the system network block and the device structure block can be divided into different physical communication medium blocks or different site device blocks. Through the division of logical boundaries and physical boundaries, the system network block and the device structure block are made clearer logically or physically, which helps to supervise and locate faults in the grounding network. The specific division criteria may vary due to the particularity of the system.

[0040] Furthermore, as a feasible implementation method, a fixed monitoring period is set for the process of monitoring fault monitoring nodes. During each monitoring period, the recurrence interval periods of the fault monitoring nodes in the fault reporting status are recorded, and corresponding recurrence period thresholds are set for each recurrence interval period; when all the recurrence interval periods within a monitoring period reach the recurrence period thresholds, the network data parameter values and the associated data parameter values are searched for again, and the start interval time of the re-search is marked and recorded as the node update period.

[0041] The monitoring period is the length of a single period during which key data nodes and key structural nodes are continuously monitored, which is the working period of the fault location process in this embodiment. During a single monitoring period, fault monitoring nodes that report faults are recorded. When the overall recurrence interval period of the fault monitoring nodes becomes longer and longer until it reaches the recurrence period threshold, it means that the fault frequency within the current working period has reached a relatively low threshold, indicating that the overall number of faults has also decreased. At this time, it is determined that the recurrence probability of the fault monitoring nodes that have experienced faults within a certain period is relatively low. Therefore, it is possible to re-locate the fault monitoring nodes that need to be continuously monitored. When the node update cycle time is shorter, that is, the frequency of re-locating the fault monitoring nodes is relatively higher, it indicates that the overall fault recurrence rate of the fault monitoring nodes in the grounding network is relatively low, which can be used as a reference for the fault location effect.

[0042] Furthermore, the method for locating fault monitoring nodes includes: setting a first adaptability assessment and a second adaptability assessment for the key data nodes and key structural nodes respectively, and judging the potential fault degree of different nodes in the system network block and the device structure block through the first adaptability assessment and the second adaptability assessment. Among them, the content of the first adaptability assessment includes: performing fluctuation analysis on the network data parameter values of the system network block, evaluating its fluctuation range and frequency, and evaluating the data transmission delay between each node within the system network block. Nodes with abnormal fluctuations or abnormal transmission delays are marked as key data nodes; the content of the second adaptability assessment includes: monitoring the physical connection status of the key structural nodes and the electrical parameters between the key structural nodes, and recording the changes in the associated data parameters at the structure when the physical connection structure changes. The physical connection structure where the changed associated data parameters are located is marked as a key structural node. Specifically, the fluctuation analysis of the first adaptability assessment is mainly used to perform fluctuation analysis on the network data parameter values of the system network block, involving evaluating the fluctuation range and frequency of the parameters, that is, checking the change amplitude and change frequency of the data values. Evaluating the data transmission delay between each node within the system network block is mainly because abnormal delay can indicate potential faults, such as network congestion or connection problems. The second adaptability assessment is used to monitor the physical connection status of the key structural nodes, which can specifically include connection stability, looseness, disconnection, etc. Monitoring the electrical parameters between the key structural nodes mainly involves parameters such as current and voltage. When the physical connection structure changes, recording the changes in the associated data parameters at the structure helps to locate potential problems with the physical connection structure. Through these two adaptability assessments, the system can comprehensively monitor and evaluate network data and key structures, and find potential fault nodes. This method combines the analysis of network fluctuations and transmission delays, as well as the monitoring of physical connection status and electrical parameters, significantly improving the accuracy of locating fault monitoring nodes.

[0043] Further, as a specific implementation manner, as Figure 3 shown, the origin, the abnormal critical value, the maintenance critical value, and the fault critical value are respectively marked as point A, point B, point C, and point D, and the specification value interval, the first sub-interval, and the second sub-interval are respectively marked as interval L, interval M, and interval N. The first sub-interval M and the second sub-interval N together form the buffer value interval, and the side of the fault critical value away from the origin towards the outside is the fault value interval. On both sides of the origin A on each number axis, a maintenance critical value C is added between the abnormal critical value B and the fault critical value D to divide the buffer value interval into the first sub-interval M and the second sub-interval N; the first sub-interval M is located between the abnormal critical value B and the maintenance critical value C, and the second sub-interval N is located between the maintenance critical value C and the fault critical value D.

[0044] Meanwhile, more importantly, within a single monitoring period, the process of determining the state of the key data node further includes:

[0045] When the monitored change range of the network data parameter value of the key data node is within the specification value interval L, that is, between the two abnormal critical values B on both sides of the origin, it is determined that the current network data parameter value maintains a normal numerical state, that is, a fault-free state. When it is between the origin A and the fault critical value D on one side of the origin A, it is determined that the current network data parameter value has occasional fluctuations, so when the parameter value monitoring change range is only within the first sub-interval M, data troubleshooting is not performed, and when it reaches the second sub-interval N, data troubleshooting is performed on the key data node; when the monitored change range of the network data parameter value is between the fault critical values D on both sides of the origin A, it is determined that the current network data parameter value has a suspected fault state, and data troubleshooting is performed on the key data node.

[0046] Further, within a single monitoring period, the process of determining the state of the key structure node further includes:

[0047] When the monitored change range of the associated data parameter value of the key structure node is within the specification value interval L, that is, between the two abnormal critical values B on both sides of the origin, it is determined that the current associated data parameter value maintains a normal numerical state, that is, a fault-free state. When it is between the origin A and the fault critical value D on one side of the origin A, it is determined that the associated device of the current associated data parameter value needs to be abnormally inspected, and manual inspection is performed on the key data node; when the monitored change range of the associated data parameter value is between the fault critical values D on both sides of the origin A, it is determined that the current associated data parameter value has a suspected fault state, so when the parameter value monitoring change range is only within the first sub-interval M, the associated device is in an abnormally inspected state, and when it reaches the second sub-interval N, power-off maintenance is performed on the associated device.

[0048] Specifically, the first sub-interval M and the second sub-interval N are used to meet the actual maintenance tendency selection needs according to the actual requirements of different fault monitoring nodes. When the monitored change range of the network data parameter value of the critical data node is between the origin A and the fault critical value D on one side of the origin A, based on the common fluctuation characteristics of network parameters, it is determined that the data parameter value of the critical data node deviates from the normal reference value under occasional circumstances. The potential tendency may be caused by reasons such as increased system load and transmission noise, which may lead to a decline in system performance and a slowdown in data transmission rate, but the system can still maintain its basic functions. When the monitored change range of the network data parameter value is between the fault critical values D on both sides of the origin A, that is, the data parameter value of the critical data node fluctuates on both sides of the origin A, it may indicate that the system has periodic or random fluctuations, which may result from interference between devices, communication noise, etc. There is a greater probability that parameter changes will cause long-term fluctuations. In this case, the system may exhibit unstable performance, which may cause periodic failures or unpredictable performance fluctuations. When the monitored change range of the associated data parameter value of the critical structure node is between the origin A and the fault critical value D on one side of the origin A, it indicates that the physical connection structure of the critical structure node has changed. It may be due to reasons such as equipment failure and loose connection, which may potentially lead to data transmission interruption, network partitioning, or device failure, and requires timely repair and maintenance. Therefore, it is determined that manual inspection is required at this time. When the monitored change range of the associated data parameter value is between the fault critical values D on both sides of the origin A, that is, the data parameter value of the critical structure node fluctuates on both sides of the origin A, it may indicate that the physical connection structure is vibrating or unstable, which may cause unstable data transmission between different devices and may lead to network interruption or data transmission errors. Therefore, the maintenance level of the critical structure node at this time is increased, that is, when the parameter value monitoring change range is only within the first sub-interval M, the associated device is placed in an abnormal waiting inspection state, and when it reaches the second sub-interval N, the associated device is powered off for maintenance.

[0049] The specific implementation manners described above further elaborate on the purpose, technical solutions, and beneficial effects of the present invention. It should be understood that the above are only specific implementation manners of the present invention and are not used to limit the protection scope of the present invention. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present invention shall be included in the protection scope of the present invention.

Claims

1. A method for fault location of the grounding network of a rail transit signal system, characterized in that, The method includes: Step S1: Divide the grounding network into a system network block and a device structure block containing multiple nodes. Based on the conventional prevention parameters and historical fault records of the grounding network, find and mark the key data nodes and key structure nodes serving as fault monitoring nodes on the system network block and the device structure block respectively, record their positions, and simultaneously monitor the network data parameter values on the key data nodes and the associated data parameter values on the key structure nodes on the grounding network; Step S2: Obtain the operating parameters and fault parameters of the system network block, and the connection normality and fault status of the device structure block. Based on the operating parameters and connection normality, set the first reference value and the second reference value for each network data parameter value and associated data parameter value respectively. Based on the fault parameters and fault status, sequentially set the abnormal critical value and the fault critical value in the increasing direction and decreasing direction of the value for each first reference value and second reference value respectively; Step S3: Set the number axis with each first reference value and second reference value as the origin respectively. Set the abnormal critical value and the fault critical value on the number axis sequentially to the left and right sides of the origin respectively. Set the value range between the abnormal critical values set on the left and right sides of the origin as the normal value range. Set the value range between the abnormal critical value and the maintenance critical value on the same side of the origin as the buffer value range. Set the value range on the side far from the origin of the two fault critical values on both sides as the fault value range; Step S4: When it is detected through monitoring that the monitored values of the network data parameter values are respectively within the normal value range, the buffer value range, and the fault value range, determine that the current fault monitoring nodes are in the fault-free state, the suspected fault state, and the fault reporting state respectively. Conduct data troubleshooting and data repair on the key data nodes in the suspected fault state and the fault reporting state respectively, and conduct a repair operation check on the repaired key data nodes through data verification to confirm that there is no longer a fault report; Step S5: When it is detected through monitoring that the monitored values of the associated data parameter values are within the normal value range, the buffer value range, and the fault value range, determine that the current fault monitoring nodes are in the fault-free state, the abnormal waiting inspection state, and the fault warning state respectively. Conduct manual inspection and power-off maintenance on the key structure nodes in the abnormal waiting inspection state and the fault warning state respectively. After restoring normal operation, continue to monitor the fault monitoring nodes of the system network block and the device structure block; 2. The method for locating the grounding network fault of a rail transit signal system according to claim 1, wherein Set a fixed monitoring cycle for the process of monitoring the fault monitoring nodes. Record the recurrence interval period of the fault monitoring nodes in the fault reporting state within each monitoring cycle, and set the corresponding recurrence cycle threshold for each recurrence interval period; when all the recurrence interval periods within a monitoring cycle reach the recurrence cycle threshold, search for the network data parameter values and the associated data parameter values again, and mark and record the start interval time of the re-search as the node update cycle.

3. A method for fault location of a grounding network of a rail transit signal system according to claim 1, characterized in that, Both the system network block and the device structure block are divided into several nodes through logical boundaries and physical boundaries respectively.

4. A method for fault location of the grounding network of a rail transit signal system according to claim 1, characterized in that, The method for finding fault monitoring nodes includes: setting the first adaptation evaluation and the second adaptation evaluation for key data nodes and key structure nodes respectively, and judging the potential fault degree of different nodes in the system network block and the device structure block through the first adaptation evaluation and the second adaptation evaluation. Among them, The content of the first adaptation evaluation includes: performing fluctuation analysis on the network data parameter values of the system network block, evaluating its fluctuation range and frequency, and evaluating the data transmission delay between each node inside the system network block, and marking the nodes with abnormal fluctuations or abnormal transmission delays as key data nodes; The content of the second adaptation evaluation includes: monitoring the physical connection status of key structure nodes and the electrical parameters between key structure nodes, and recording the changes in the associated data parameters at the structure when the physical connection structure changes, and marking the physical connection structure where the changed associated data parameters are located as key structure nodes.

5. A method for fault location of a grounding network of a rail transit signal system according to claim 2, characterized in that, On both the left and right sides of the origin along each number axis, a maintenance critical value is added between the abnormal critical value and the fault critical value to divide the buffer value interval into a first sub-interval and a second sub-interval; the first sub-interval is located between the abnormal critical value and the maintenance critical value, and the second sub-interval is located between the maintenance critical value and the fault critical value.

6. A method for locating a grounding network fault of a rail transit signal system according to claim 5, characterized in that, Within a single monitoring cycle, the process of determining the status of a key data node further includes: When the monitored change range of the network data parameter value of the key data node is between the origin and the fault critical value on one side of the origin, it is determined that the current network data parameter value is an occasional fluctuation. Then, when the monitored change range of the parameter value is only within the first sub-interval, data troubleshooting is not performed, and when it reaches the second sub-interval, data troubleshooting is performed on the key data node; when the monitored change range of the network data parameter value is between the fault critical values on both the left and right sides of the origin, it is determined that the current network data parameter value is in a suspected fault state, and data troubleshooting is performed on the key data node.

7. A method for fault location of a grounding network of a rail transit signal system according to claim 5, characterized in that, Within a single monitoring cycle, the process of determining the status of a key structure node further includes: When the monitored change range of the associated data parameter value of the key structure node is between the origin and the fault critical value on one side of the origin, it is determined that the associated device of the current associated data parameter value needs to be abnormally inspected, and manual inspection is performed on the key data node; when the monitored change range of the associated data parameter value is between the fault critical values on both the left and right sides of the origin, it is determined that the current associated data parameter value is in a suspected fault state. Then, when the monitored change range of the parameter value is only within the first sub-interval, the associated device is in an abnormally inspected state, and when it reaches the second sub-interval, power-off maintenance is performed on the associated device.

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