Intelligent monitoring system for railway signal cable

Abstract

The invention discloses a railway signal cable intelligent monitoring system which comprises a cable on-line monitoring system, an insulation resistance monitoring device, a cable fault and positioning monitoring device, a cable identification device, a high-resistance bridge monitoring device, a cable forming end detection device and a line selection device. The method has the beneficial effects that the automation level of fault detection and processing can be improved by using a real-time online monitoring technology and a method of automatically triggering fault diagnosis through an automatic fault monitoring and diagnosis technology; through the single-end remote monitoring technology, the advanced sensor and monitoring technology are adopted, remote single-end online monitoring of the railway cable is achieved, and the limitation that double-end or multi-point monitoring is needed in the prior art is broken through; through an intelligent fault positioning technology, advanced modes such as a low-voltage pulse method and a high-resistance bridge method are developed, fault points are accurately and rapidly positioned in cooperation with an auxiliary diagnosis tool, and the fault processing precision and efficiency are improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of railway signal cable monitoring, in particular to an intelligent railway signal cable monitoring system. BACKGROUND

[0002] Railway signal equipment (system) is a train operation control and safety guarantee system, and railway cable is an important and unique channel connecting indoor and outdoor equipment of railway signal, which bears various control information for transmitting direct control of train operation. Once a fault occurs, it will inevitably cause a large-scale system failure, directly affecting train efficiency and even train safety. Since there are factors such as poor construction process, external damage, influence of working environment (such as long-term vibration) and aging over time, various faults of railway cable cannot be avoided. Moreover, railway cable is mostly laid hidden and has a large range (long distance), so it is very difficult to find and handle faults. Once a fault occurs, it will inevitably cause long delay, seriously affecting normal railway transportation order and safety.

[0003] So far, there is no monitoring and diagnosis system for railway signal cable operation state in China, especially online real-time monitoring cannot be realized, so prediction and early warning cannot be realized. After a fault occurs, fault diagnosis and positioning are mostly carried out by offline test instruments. Such instruments have short test distance, poor precision and complex operation, so the fault handling time is long, which greatly interferes with normal train operation.

[0004] However, with the rapid development of railway transportation industry, there is an urgent problem: the safety and stability of railway signal cable. Signal cable plays a crucial role in safe operation of railway. It is responsible for transmission of control signal and monitoring signal, directly affecting the efficiency and safety of train operation. Railway signal cable not only needs to operate stably in complex external environment, but also faces various challenges in maintenance. The main challenges in maintenance and management of railway signal cable are as follows:

[0005] 1. Insufficient intelligence: In the current railway signal system, cable monitoring operation highly depends on manual operation, and the intelligence level is low. When a cable fault occurs, the diagnosis and positioning means used are mostly general instruments in power and communication industries, and there is a lack of special tools designed for railway signal cable. This limitation not only affects the efficiency of fault handling, but also increases the complexity of diagnosis. The fault handling of railway signal cable has long been dominated by manual operation, and lacks the support of intelligent tools, which greatly restricts the fault handling capacity. In summary, the railway signal system has obvious defects in intelligence, and it is urgent to improve its intelligent diagnosis and fault handling capacity through technological progress.

[0006] 2. Low automation level: The monitoring and maintenance of railway signal cables are not highly automated, and once the cable fails, due to the lack of automated monitoring and positioning technology, the staff often needs to spend a lot of time manually checking and locating the fault point, in addition, the railway signal cable is mostly laid in a hidden and long-distance distribution manner, which further aggravates the difficulty of finding and handling the fault, causing great interference to the normal operation of the railway, the efficiency of fault diagnosis and recovery is limited, and occupies more than half of the time for handling electric affairs, which highlights the urgent need to improve the automation level.

[0007] 3. Loss and damage of cable-related information: Due to the change of the maintenance team, the adjustment of the line or the loss and damage of the drawings during the construction process, it is extremely difficult to check and confirm the accurate position and parameters of the cable, in addition, the on-site personnel need to consult a large number of drawings when confirming the cable information, which not only wastes time and effort, but also greatly increases the difficulty in bad weather conditions, seriously affecting the progress and efficiency of the on-site maintenance work. SUMMARY

[0008] The purpose of the present application is to provide an intelligent monitoring system for railway signal cables to solve the safety and stability of the existing railway signal cables as described in the background art, the signal cable plays a crucial role in the safe operation of the railway, it is responsible for controlling and monitoring the transmission of signals, directly affecting the efficiency and safety of train operation, the railway signal cable not only needs to operate stably in a complex external environment, but also faces various challenges in maintenance, the main challenges in the maintenance and management of railway signal cables are: insufficient intelligence, low automation level and loss and damage of cable-related information.

[0009] To achieve the above purpose, the present application provides the following technical scheme: an intelligent monitoring system for railway signal cables, comprising: a cable online monitoring system, an insulation resistance monitoring device, a cable fault and positioning monitoring device, a cable identification device, a high resistance bridge monitoring device, a cable end detection device and a line selection device; the cable online monitoring system is connected with the insulation resistance monitoring device, the cable identification device, the high resistance bridge monitoring device, the cable end detection device and the line selection device, the insulation resistance monitoring device, the cable identification device, the high resistance bridge monitoring device and the cable end detection device are connected with the line selection device, the line selection device is connected with a distribution box, the distribution box is connected with three outdoor boxes, one of the outdoor boxes is connected with a signal machine, one of the outdoor boxes is connected with a track circuit, and the last outdoor box is connected with a switch machine.

[0010] As a preferred scheme of the present application: further comprising: cable monitoring host, insulation resistance measurement and line selection device, the cable monitoring host is connected with insulation resistance measurement and line selection device, and the automatic selection of test signal source and the automatic selection of field cable are realized by using RS422 communication command.

[0011] As a preferred scheme of the present application: further comprising: railway signal cable multi-element data collaborative monitoring technology research module, multi-element data acquisition technology research system and detection technology application module, the railway signal cable multi-element data collaborative monitoring technology research module is connected with multi-element data acquisition technology research system and detection technology application module, the multi-element data acquisition technology research module is connected with insulation resistance monitoring unit, ring group monitoring unit and end monitoring unit, the detection technology application module is connected with data unit, whole analysis unit and technology support and maintenance unit.

[0012] As a preferred scheme of the present application: further comprising: railway signal cable health state online evaluation technology research module, multi-source data collection and integration module, multi-element data based fault characteristic analysis research module, fault diagnosis expert system research module, fault positioning technology research module, fusion data analysis and fault prediction technology research module and railway signal cable fault intelligent diagnosis and health state evaluation technology system module, the railway signal cable health state online evaluation technology research module is connected with multi-source data collection and integration module in one way, the multi-source data collection and integration module is connected with multi-element data based fault characteristic analysis research module, fault diagnosis expert system research module and fault positioning technology research module in one way, the multi-element data based fault characteristic analysis research module, fault diagnosis expert system research module and fault positioning technology research module are connected with fusion data analysis and fault prediction technology research module in two ways, the fusion data analysis and fault prediction technology research module is connected with railway signal cable fault intelligent diagnosis and health state evaluation technology system module in one way.

[0013] As a preferred scheme of the present application: further comprising: railway signal cable intelligent monitoring system, cable online monitoring subsystem, cable path monitoring subsystem and box monitoring subsystem, the railway signal cable intelligent monitoring system is connected with cable online monitoring subsystem, cable path monitoring subsystem and box monitoring subsystem in one way.

[0014] As a preferred scheme of the present application: further comprising: a cable online monitoring subsystem, a monitoring function module and a diagnosis function module, the cable online monitoring subsystem is unidirectionally connected with the monitoring function module and the diagnosis function module, the monitoring function module is unidirectionally connected with a cable state monitoring unit, a cable fault positioning unit, an insulation monitoring unit, a loop resistance monitoring unit, a termination detection unit and an outdoor environment monitoring unit, and the diagnosis function module is unidirectionally connected with a fault detection unit, a cable monitoring unit and a line selection test unit.

[0015] As a preferred scheme of the present application: further comprising: a cable path monitoring subsystem, a cable maintenance management module, a cable position detection module and a cable core identification module, the cable path monitoring subsystem is unidirectionally connected with the cable maintenance management module, the cable position detection module and the cable core identification module.

[0016] As a preferred scheme of the present application: further comprising: a box monitoring subsystem, a box state monitoring module and a box maintenance management module, the box monitoring subsystem is unidirectionally connected with the box state monitoring module and the box maintenance management module.

[0017] Compared with the prior art, the present application has the beneficial effects that: through the automatic fault monitoring and diagnosis technology, the real-time online monitoring technology and the automatic fault diagnosis method, the automatic level of fault detection and processing can be improved; through the single-end remote monitoring technology, the advanced sensor and monitoring technology are adopted to realize the remote single-end online monitoring of the railway cable, which breaks through the limitation of traditional double-end or multi-point monitoring; through the intelligent fault positioning technology, the advanced modes such as low-voltage pulse method and high-resistance bridge method are developed, and the auxiliary diagnosis tool is used to accurately and quickly locate the fault point, thereby improving the accuracy and efficiency of fault processing; through the combination of deep learning and big data analysis, the deep analysis and optimization of fault data can be carried out combined with big data technology, and the deep learning model is constructed to automatically identify and classify the cable faults; through the design innovation of the monitoring system and the integrated design based on multiple monitoring subsystems, including online monitoring, path monitoring and box monitoring, the technical management and maintenance efficiency of the railway signal cable can be comprehensively improved; and the present application builds an intelligent monitoring, diagnosis, management and maintenance system for railway cables, which can effectively reduce the fault processing time, reduce the large-scale systematic risk caused by faults, improve the railway operation safety and efficiency, optimize the national railway transportation safety bottom line, and fundamentally enhance the robustness of the national railway transportation network to meet the needs of future development. BRIEF DESCRIPTION OF DRAWINGS

[0018] Figure 1 The system device structure diagram of the present application;

[0019] Figure 2The application provides a signal cable insulation monitoring system application structure diagram.

[0020] Figure 3 The application provides a line selection device structure diagram.

[0021] Figure 4 The application provides a railway signal cable multi-element data cooperative monitoring technology research block diagram.

[0022] Figure 5 The application provides a railway signal cable health state online evaluation technology research block diagram.

[0023] Figure 6 The application provides a railway signal cable intelligent monitoring system block diagram.

[0024] Figure 7 The application provides a cable online monitoring subsystem function block diagram.

[0025] Figure 8 The application provides a cable path monitoring subsystem function block diagram.

[0026] Figure 9 The application provides a box monitoring subsystem function block diagram.

[0027] Figure 10 The application provides a railway signal cable state monitoring system technical roadmap. DETAILED DESCRIPTION

[0028] The technical solutions in the embodiments of the application will be clearly and completely described below with reference to the drawings in the embodiments of the application. Obviously, the described embodiments are only part of the embodiments of the application, rather than all the embodiments of the application. Based on the embodiments in the application, all other embodiments obtained by a person of ordinary skill in the art without creative work fall within the protection scope of the application.

[0029] Please refer to Figures 1 to 10 The application provides a technical solution: a railway signal cable intelligent monitoring system, comprising: a cable online monitoring system, an insulation resistance monitoring device, a cable fault and positioning monitoring device, a cable identification device, a high-resistance bridge monitoring device, a cable end detection device and a line selection device; the cable online monitoring system is connected with the insulation resistance monitoring device, the cable identification device, the high-resistance bridge monitoring device, the cable end detection device and the line selection device; the insulation resistance monitoring device, the cable identification device, the high-resistance bridge monitoring device and the cable end detection device are connected with the line selection device; the line selection device is connected with a distribution box; the distribution box is connected with three outdoor boxes; one of the outdoor boxes is connected with a signal machine; one of the outdoor boxes is connected with a track circuit; and the last outdoor box is connected with a switch machine.

[0030] It also includes a cable monitoring host, an insulation resistance measurement and a line selection device, the cable monitoring host is connected with the insulation resistance measurement and the line selection device, and the automatic selection of the test signal source and the automatic gating of the field cable are realized by using the RS422 communication command.

[0031] It also includes a railway signal cable multi-element data collaborative monitoring technology research module, a multi-element data acquisition technology research system and an application module of detection technology, the railway signal cable multi-element data collaborative monitoring technology research module is connected with the multi-element data acquisition technology research system and the application module of detection technology, the multi-element data acquisition technology research module is connected with an insulation resistance monitoring unit, a ring group monitoring unit and an end forming monitoring unit, and the application module of detection technology is connected with a data unit, an integral analysis unit and a technical support and maintenance unit.

[0032] It also includes a railway signal cable health state online evaluation technology research module, a multi-source data collection and integration module, a fault characteristic analysis research module based on multi-element data, a fault diagnosis expert system research module, a fault positioning technology research module, a fusion data analysis and fault prediction technology research module and a railway signal cable fault intelligent diagnosis and health state evaluation technology system module, the railway signal cable health state online evaluation technology research module is unidirectionally connected with the multi-source data collection and integration module, the multi-source data collection and integration module is unidirectionally connected with the fault characteristic analysis research module based on multi-element data, the fault diagnosis expert system research module and the fault positioning technology research module, the fault characteristic analysis research module based on multi-element data, the fault diagnosis expert system research module and the fault positioning technology research module are bidirectionally connected with the fusion data analysis and fault prediction technology research module, and the fusion data analysis and fault prediction technology research module is unidirectionally connected with the railway signal cable fault intelligent diagnosis and health state evaluation technology system module.

[0033] It also includes a railway signal cable intelligent monitoring system, a cable online monitoring subsystem, a cable path monitoring subsystem and a box monitoring subsystem, and the railway signal cable intelligent monitoring system is unidirectionally connected with the cable online monitoring subsystem, the cable path monitoring subsystem and the box monitoring subsystem.

[0034] It also includes a cable online monitoring subsystem, a monitoring function module and a diagnosis function module, the cable online monitoring subsystem is unidirectionally connected with the monitoring function module and the diagnosis function module, the monitoring function module is unidirectionally connected with a cable state monitoring unit, a cable fault positioning unit, an insulation monitoring unit, a ring resistance monitoring unit, an end forming detection unit and an outdoor environment monitoring unit, and the diagnosis function module is unidirectionally connected with a fault detection unit, a cable monitoring unit and a line selection test unit.

[0035] The cable path monitoring subsystem is connected with the cable maintenance management module, the cable position detection module and the cable core line identification module in one-way.

[0036] The box monitoring subsystem is connected with the box state monitoring module and the box maintenance management module in one-way.

[0037] Specifically, in use, (such as Figure 10(As shown) At the project initiation stage: Based on the actual situation, conduct detailed market research, establish project goals, plan project implementation details, summarize experience, and improve understanding. Focus on researching customers for railway signal cable monitoring to understand and grasp diverse on-site needs. Simultaneously, conduct in-depth communication with relevant departments and maintenance personnel to understand the demand structure and existing problems of railway signal cable monitoring, and analyze and organize the problems. Design stage: Focus on system architecture design, including online monitoring, cable path monitoring, and box monitoring. This stage will be handled by an experienced engineering team. This stage will clarify the system architecture, technology selection, and overview diagram development, while actively communicating with all key stakeholders to ensure the planning meets actual needs. Development stage: Phase 1: Develop an intelligent monitoring system, including real-time data acquisition, analysis, and early warning systems, as well as automatic diagnostics and fault location technologies. Execute according to the initial plan, including software coding, system integration, and function implementation, using agile development methods, regularly evaluating progress and making timely adjustments to ensure on-time project completion. Phase 2: Conduct comprehensive performance and feature testing, as well as environmental adaptability testing, including unit testing, integration testing, and user acceptance testing, to ensure the delivered system is stable, reliable, and meets the original requirements specifications. Phase 3: Implementation phase includes system deployment and training of maintenance personnel. After the system tests are successful, execute the system deployment plan and ensure all users can seamlessly transition to the new system. Furthermore, [the following is missing from the original text: "In addition, provide..."] Detailed user manuals and training courses are provided. During the maintenance and optimization phase, continuous monitoring, feedback collection, functional upgrades, and system optimization are conducted. After project delivery, ongoing technical support services are provided, and system functions are periodically reviewed based on user feedback and market trends to plan and implement necessary system upgrades. The main function of the signal cable online monitoring system is to monitor cable status, provide early warnings of cable accidents, increase the safety factor of monitored cable conditions, and improve the maintenance level of signal cables by testing cable insulation to ground, inter-line insulation, line loop resistance, leakage current, and cable signal identification. It receives 422 / 485 communication commands to achieve automatic selection of test signal sources and automatic selection of field cables. The hardware consists of a control board. The system consists of a drive board, a relay board, and a backplane cage. The output signal of the monitoring equipment in the system is output to the corresponding line under test through the line selection device. A single line selection device can monitor up to 256 cables. The 256 cables form a selection circuit. The signal cable insulation monitoring system can efficiently and accurately evaluate the insulation performance of the cable under test and diagnose cable insulation problems in a timely manner by simulating the traditional manual insulation test method. It includes: (1) Insulation resistance monitoring: Real-time monitoring of the insulation resistance value of the signal cable to ensure that the cable insulation status is always within a controllable range; When the insulation resistance value is lower than the set threshold (<1MΩ), the system will automatically trigger the alarm mechanism to remind the user to deal with the cable insulation problem in a timely manner and effectively prevent potential faults.(2) Insulation test modes: Manual single-channel measurement: Users can select a single cable for precise measurement according to actual needs, which is convenient for key monitoring or fault diagnosis of specific cables; Automatic measurement: The system supports automatic measurement of multiple cables in sequence, which can efficiently complete the insulation test tasks of a large number of cables, greatly improve work efficiency, and is especially suitable for large-scale cable monitoring scenarios; The signal cable insulation monitoring system provides a reliable guarantee for the stable operation of the railway signal system, ensuring that the insulation performance of the signal cable is always in good condition, and effectively reducing the safety risks caused by cable insulation problems (its system structure is as follows); Figure 2(as shown); its system interfaces include: (1) Communication interface: the system is equipped with RS422 interface and Ethernet interface, supports multiple communication methods, and facilitates data interaction with other devices or monitoring systems; (2) Equipment power supply: the equipment power supply voltage is AC220V, and the allowable voltage fluctuation range is ±10%, ensuring the stable operation of the system in different environments; (3) Test cable interface: when conducting cable insulation testing, the system outputs DC500V (to ground) insulation measurement voltage to simulate the function of traditional manual insulation megohmmeter, and accurately measures the cable insulation performance; the performance monitoring range of the whole machine is within the insulation measurement range: 0-20MΩ, with a measurement error within ±2%. Under normal test atmospheric conditions, the independent circuits of the device and the exposed conductive parts, as well as the independent circuits, should be able to withstand the short-time impulse voltage test of the standard lightning wave of 1.2μs / 50μs. When the rated working voltage is greater than 60V, the open circuit test voltage is 5kV; when the rated working voltage is not greater than 60V, the open circuit test voltage is 1kV. After the test, the equipment should be free from insulation and component damage. Before use, the monitoring device should undergo a 72-168 hour (room temperature) continuous power-on test. During the test, the measurement performance should meet the technical requirements. The design of the monitoring device should fully consider its working conditions and ensure long-term reliable operation. Utilizing the multi-data acquisition technology research module and monitoring technology application module within the railway signal cable multi-data collaborative monitoring technology research module, multi-data acquisition technology research and application testing technology can be carried out. Furthermore, the insulation resistance monitoring unit can employ high-voltage isolation technology and advanced integrated circuit technology to ensure safe and accurate measurement of the cable's insulation resistance without interfering with the cable's normal operation. The measurement range will cover 0.01MΩ to 2.5TΩ to meet the comprehensive evaluation needs of railway signal cable insulation performance. In addition, it will be equipped with an LCD display and data storage function, supporting low insulation resistance alarms and automatic locking to promptly detect and address potential cable insulation problems, providing robust technical support for cable maintenance. Utilizing the loop resistance monitoring unit, if abnormal cable loop resistance is detected during fault diagnosis, it can determine if the cable may have broken wires, short circuits, or other problems, allowing for repair. Cable loop resistance is the DC resistance of the cable conductor at a standard reference temperature of 20°C. As a fundamental parameter of cable performance, the cable loop resistance value allows engineers and technicians to compare the resistance characteristics of different cables without considering actual ambient temperature variations. T The value of R is usually obtained through actual measurement. t The value is obtained by temperature conversion, and the conversion formula is as follows:

[0038]

[0039] Among them, R T R is the DC resistance of the conductor at 20℃.t The conductor resistance α of a cable with a length of L meters is measured at an actual temperature t. 20 Here, L is the temperature coefficient of resistance of the conductor material at 20℃, L is the length of the cable, and t is the sample temperature during measurement. Using a termination monitoring unit with specially designed sensors, real-time monitoring of termination current and temperature is achieved. The monitoring system can automatically plot monitoring data curves and, through intelligent analysis, automatically issue alarms when current and temperature exceed preset thresholds, effectively preventing faults caused by termination anomalies. This research comprehensively utilizes multi-source data such as insulation resistance, loop resistance, and termination monitoring to study data fusion technology based on a line selection matrix. Algorithms are developed to effectively integrate diverse data sources through multi-source data fusion processing, enhancing the dimension and depth of data analysis. This allows for a comprehensive assessment of the health status of railway signal cables. The data fusion processing considers the spatiotemporal characteristics of the data to ensure real-time and comprehensive evaluation results, thus providing a scientific basis for cable maintenance and fault early warning. Figure 5(As shown) Through the multi-source data fault characteristic analysis module, information such as insulation resistance, ring resistance, temperature, and humidity from multiple sources in the railway signal cable system is collected and integrated. Comprehensive data cleaning, normalization, and preprocessing are performed. Utilizing the latest data mining and machine learning techniques, such as decision trees, support vector machines (SVM), and deep learning models, key features reflecting the cable's operating status are extracted from the processed data, and a comprehensive fault characteristic knowledge base is constructed to identify and predict potential cable fault points. Through the fault diagnosis expert system research module, based on the results of fault characteristic analysis, a fault diagnosis expert system is developed. This system systematizes expert knowledge and experience into rules, enabling rapid and accurate fault diagnosis. The system employs various methods, including: constructing a knowledge base and reasoning mechanism; applying artificial intelligence technologies such as fuzzy logic and neural networks; supporting the diagnosis and decision-making process for complex faults; developing a user-friendly interface for engineers and technicians to efficiently utilize the system; and employing appropriate testing techniques and equipment for different types of cable faults, such as open circuits, short circuits, high resistance, and flashover faults, through a fault location technology research module combined with the aforementioned multi-data analysis and expert system diagnosis. Furthermore, a fusion data analysis and fault prediction technology research module utilizes various data mining techniques, such as cluster analysis and principal component analysis (PCA), to perform in-depth analysis of the fused data to identify inherent patterns and trends, thereby enabling support vector machines (SVM) and randomized... The development of various machine learning models, such as forestry and deep neural networks (DNN), especially their application in multi-parameter and big data contexts, is applied to the implementation and intelligent operation and maintenance module of a railway signal cable intelligent monitoring system. This involves the architecture construction of a distributed monitoring system, automation of fault diagnosis and handling processes, and information management of cable-related technical data and drawings. Through the cable online monitoring subsystem within the railway signal cable intelligent monitoring system, real-time online monitoring and rapid fault diagnosis and location are achieved, providing comprehensive cable monitoring, timely detection of fault states such as short circuits, open circuits, and high resistance, and accurate location. The cable online monitoring subsystem also monitors electrical parameters such as cable insulation, inter-line insulation, and ring resistance in real time, combined with environmental monitoring. By utilizing big data technology, the system monitors the working status and trends of cables in real time, effectively preventing faults. The adopted "early warning" and "pre-processing" mechanisms promote a shift from traditional "fault repair" to a more efficient "condition-based repair" model, improving the timeliness of fault handling and reducing the probability of railway cable faults. Through the online fault monitoring and rapid diagnosis and location subsystem, and by adopting advanced "single-end," "non-sensory" online testing technology, the system monitors cables in real time. Once a fault occurs, it can quickly and accurately determine the fault type and provide the precise geographical coordinates of the fault location. All abnormalities and fault information are displayed graphically on the cable path map in the control center, enhancing the visibility of cable faults.This significantly improves diagnostic and handling efficiency, shortens fault response time, and through the cable path monitoring subsystem, integrates passive RFID sensing technology and database technology to achieve underground cable location identification and real-time retrieval of cable technical data without excavation. This enables rapid, intelligent, and assisted location of cable faults and provides information management functions for complete cable technical data and drawings. Through the box monitoring subsystem, which integrates the latest IoT sensing technology and remote communication technology, it can monitor the application environment and box conditions of railway signal cables in real time, 24 / 7.

[0040] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A railway signal cable intelligent monitoring system, characterized in that, include: The system includes an online cable monitoring system, an insulation resistance monitoring device, a cable fault and location monitoring device, a cable identification device, a high-resistance bridge monitoring device, a cable termination detection device, and a line selection device. The online cable monitoring system is connected to the insulation resistance monitoring device, cable identification device, high-resistance bridge monitoring device, cable termination detection device, and line selection device. The insulation resistance monitoring device, cable identification device, high-resistance bridge monitoring device, and cable termination detection device are all connected to the line selection device. The line selection device is connected to a distribution panel, which is connected to three outdoor boxes. One outdoor box is connected to a signal device, another outdoor box is connected to a track circuit, and the last outdoor box is connected to a transfer mechanism.

2. The intelligent monitoring system for railway signal cables according to claim 1, characterized in that: Also includes: The cable monitoring host and the insulation resistance measurement and line selection device are both connected to the insulation resistance measurement and line selection device, and the RS422 communication commands are used to realize the automatic selection of test signal sources and the automatic selection of field cables.

3. The intelligent monitoring system for railway signal cables according to claim 1, characterized in that: Also includes: The system includes a research module for multi-source data collaborative monitoring technology of railway signal cables, a research system for multi-source data acquisition technology, and an application module for testing technology. The research module for multi-source data collaborative monitoring technology of railway signal cables is connected to both the research system for multi-source data acquisition technology and the application module for testing technology. The research module for multi-source data acquisition technology is connected to an insulation resistance monitoring unit, a loop group monitoring unit, and a termination monitoring unit. The application module for monitoring technology is connected to a data unit, a complete analysis unit, and a technical support and maintenance unit.

4. The intelligent monitoring system for railway signal cables according to claim 1, characterized in that: Also includes: The system comprises the following modules: Online Health Status Assessment Technology for Railway Signal Cables; Multi-Source Data Collection and Integration; Fault Characteristic Analysis Based on Multivariate Data; Fault Diagnosis Expert System; Fault Location Technology; Fusion Data Analysis and Fault Prediction Technology; and Intelligent Fault Diagnosis and Health Status Assessment Technology System for Railway Signal Cables. The Online Health Status Assessment Technology for Railway Signal Cables module is unidirectionally connected to the Multi-Source Data Collection and Integration module. The Multi-Source Data Collection and Integration module is unidirectionally connected to the Fault Characteristic Analysis Based on Multivariate Data, Fault Diagnosis Expert System, and Fault Location Technology modules. The Fault Characteristic Analysis Based on Multivariate Data, Fault Diagnosis Expert System, and Fault Location Technology modules are bidirectionally connected to the Fusion Data Analysis and Fault Prediction Technology module. The Fusion Data Analysis and Fault Prediction Technology module is unidirectionally connected to the Intelligent Fault Diagnosis and Health Status Assessment Technology System for Railway Signal Cables module.

5. The intelligent monitoring system for railway signal cables according to claim 1, characterized in that: Also includes: The system includes a railway signal cable intelligent monitoring system, a cable online monitoring subsystem, a cable path monitoring subsystem, and a box monitoring subsystem. The railway signal cable intelligent monitoring system is unidirectionally connected to the cable online monitoring subsystem, the cable path monitoring subsystem, and the box monitoring subsystem.

6. The intelligent monitoring system for railway signal cables according to claim 1, characterized in that: Also includes: The cable online monitoring subsystem comprises a monitoring function module and a diagnostic function module. The cable online monitoring subsystem is unidirectionally connected to the monitoring function module and the diagnostic function module. The monitoring function module is unidirectionally connected to a cable condition monitoring unit, a cable fault location unit, an insulation monitoring unit, a ring resistance monitoring unit, a termination detection unit, and an outdoor environment monitoring unit. The diagnostic function module is unidirectionally connected to a fault detection unit, a cable monitoring unit, and a line selection test unit.

7. The intelligent monitoring system for railway signal cables according to claim 1, characterized in that: Also includes: The cable path monitoring subsystem, cable maintenance management module, cable location detection module, and cable core identification module are all unidirectionally connected to the cable maintenance management module, cable location detection module, and cable core identification module.

8. The intelligent monitoring system for railway signal cables according to claim 1, characterized in that: Also includes: The system includes a box monitoring subsystem, a box status monitoring module, and a box maintenance management module. The box monitoring subsystem is unidirectionally connected to the box status monitoring module and the box maintenance management module.

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