LTE-m interface monitoring apparatus and method for tacs

Abstract

The present invention relates to an LTE-M interface monitoring apparatus and method for a TACS. The apparatus comprises an LTE-M module, an LTE-M interface monitoring module connected to an LTE-M module interface, a TACS service module and an on-board module, wherein the LTE-M interface monitoring module monitors, by means of the LTE-M module interface in real time, TACS service data involved in the interaction with the TACS service module, and also monitors LTE-M signaling involved in the interaction with the on-board module; the LTE-M interface monitoring module performs associated synchronization and analysis on the captured TACS service data and LTE-M signaling; and the on-board module comprises an on-board storage device and a telematics access unit, and the on-board storage device captures on-board data by means of the telematics access unit in real time. Compared with the prior art, the present invention has the advantages of realizing LTE-M interface monitoring and analysis in a TACS environment, improving the efficiency of troubleshooting, etc.

Description

An LTE-M interface monitoring device and method for TACS system Technical Field

[0001] This invention relates to the field of rail transit technology, and in particular to an LTE-M interface monitoring device and method for TACS systems. Background Technology

[0002] The signaling system upgrade scheme for a certain urban rail transit line adopted a Train Autonomous Operation System (TACS) based on vehicle-to-vehicle communication. Compared with the traditional CBTC system, the TACS system simplifies the Line Controller (LC) and Zone Controller (ZC) of the traditional CBTC system, adopts autonomous resource management, and uses a single-path full-process control flow to realize resource request, release, and control; the station level is implemented using the Target Controller (OC), and no axle counting subsystem is set up in the trackside section. Through vehicle-to-ground interlocking and vehicle-to-vehicle coordination, the TACS system enables trains to achieve autonomous resource management and active spacing protection based on the operation plan and real-time location, thereby achieving a safer and more efficient operation goal, as shown in Figure 1.

[0003] The LTE-M interface monitoring devices previously used in CBTC systems are no longer applicable to TACS systems. The signal system upgrade plan requires monitoring of the LTE-M system and signal system in accordance with the "Urban Rail Transit Vehicle-to-Ground Integrated Communication System (LTE-M) Specification" and the "Urban Rail Transit CBTC Signal System Industry Technical Specification". This will provide monitoring and analysis support for the safe operation of the TACS system and help analyze problems that lead to the safe and reliable operation of the system.

[0004] The TACS system uses LTE-M technology to carry services; however, we encountered significant challenges when analyzing service issues related to vehicle-to-ground communication. First, the diverse range of information involved complicates fault information collection. Second, control signaling is not saved in real time, and signaling analysis requires expert interpretation, further increasing the difficulty. More importantly, the lack of comparative analysis of vehicle-to-ground service data impacts our accurate assessment of fault causes. These factors not only increase the difficulty of fault analysis but also severely hinder the smooth progress of fault handling due to the missing key data.

[0005] How to implement LTE-M interface monitoring (covering vehicle-to-ground communication service data and signaling) in the TACS system application environment, so as to provide effective support for TACS system fault analysis, has become a technical problem that needs to be solved.

[0006] Summary of the Invention

[0007] The purpose of this invention is to overcome the shortcomings of the prior art and provide an LTE-M interface monitoring device and method for TACS systems.

[0008] The objective of this invention can be achieved through the following technical solutions:

[0009] According to one aspect of the present invention, an LTE-M interface monitoring device for a TACS system is provided. The device is used to monitor TACS service data and LTE-M signaling. The device includes an LTE-M module, an LTE-M interface monitoring module, a TACS service module, and an in-vehicle module that are interface-connected to the LTE-M module.

[0010] The LTE-M interface monitoring module monitors the TACS service data interacting with the TACS service module in real time through the LTE-M module, and also monitors the LTE-M signaling interacting with the vehicle module.

[0011] The LTE-M interface monitoring module correlates, synchronizes, and analyzes the captured TACS service data and LTE-M signaling;

[0012] The vehicle module includes an on-board storage device and an on-board access unit (TAU). The on-board storage device captures on-board data in real time through the on-board access unit (TAU).

[0013] Preferably, the LTE-M interface monitoring module includes an LTE-M interface monitoring server and an LTE-M interface monitoring and analysis terminal; the LTE-M interface monitoring server is used to monitor and capture TACS service data and LTE-M signaling in real time, and provide the data to the LTE-M interface monitoring and analysis terminal after classifying the data; the LTE-M interface monitoring and analysis terminal performs correlation synchronization and analysis on the received data.

[0014] Preferably, the LTE-M interface monitoring module performs vehicle-to-ground comparison analysis on the captured ground data and vehicle data, wherein both ground data and vehicle data include service data and LTE-M signaling.

[0015] More preferably, the LTE-M interface monitoring server is connected to the LTE core switch of the LTE-M module.

[0016] More preferably, the LTE core switch monitors the service data and signaling of the TACS service module in real time through a mirror port, which includes a TACS service mirror port and an LTE-M signaling mirror port.

[0017] More preferably, the business data includes:

[0018] a) Data packets exchanged between the onboard controller VOBC and the Automatic Train Monitoring System (ATS);

[0019] b) Data packets exchanged between the vehicle controller VOBC and the resource manager WRC;

[0020] c) Data packets exchanged between the vehicle controller VOBC and the target controller OC;

[0021] d) Data packets exchanged between the onboard controller VOBC and the train manager WTC;

[0022] And e) Vehicle Access Unit (TAU) data.

[0023] More preferably, the Automatic Train Monitoring System (ATS), Train Manager (WTC), Resource Manager (WRC), and Target Controller (OC) interact with the TACS core switch of the TACS service module.

[0024] The vehicle-mounted module includes a vehicle-mounted controller (VOBC), which interacts with the TACS service module via an LTE-M module.

[0025] More preferably, the LTE-M signaling includes S1 interface signaling and S5, S6a and S10 interface signaling.

[0026] More preferably, the LTE-M interface monitoring and analysis terminal also includes the ability to display service data and signaling analysis results, issue alarms, and generate reports.

[0027] Preferably, the correlation synchronization and analysis includes business indicator analysis, signaling parsing, signaling analysis, and correlation synchronization analysis.

[0028] More preferably, the business indicator analysis includes sequence number detection analysis, timestamp monitoring analysis, communication cycle monitoring analysis, network performance quality analysis, data filtering analysis, and data comparison analysis;

[0029] Signaling parsing is used to retrieve LTE-M core network signaling for a specific time period, extract key information, and thus locate the specified or abnormal signaling data segment;

[0030] Signaling analysis includes signaling synthesis, anomaly analysis, and statistics;

[0031] Correlation and synchronization analysis is used to correlate TACS service data and LTE-M signaling to troubleshoot faults.

[0032] Preferably, the vehicle-mounted storage device is connected to the TAU device of the vehicle-mounted module.

[0033] According to another aspect of the present invention, an LTE-M interface monitoring method for a TACS system is provided, the method comprising the following steps:

[0034] Step S1: Real-time capture of TACS ground data and vehicle data, including service data and LTE-M signaling;

[0035] Step S2: Store the captured data;

[0036] Step S3: Synchronize, correlate, and analyze the stored data;

[0037] Step S4: Display the data based on the synchronized association and analysis.

[0038] Preferably, the service data includes data packets exchanged between VOBC and ATS, WRC, OC and WTC in the TACS system, as well as vehicle data; the LTE-M signaling includes S1 interface signaling and S5, S6a and S10 interface signaling.

[0039] Preferably, the correlation synchronization and analysis includes business indicator analysis, signaling parsing, signaling analysis, and correlation synchronization analysis;

[0040] The interface monitoring server and the vehicle-mounted storage device store the captured data in the same format.

[0041] Compared with the prior art, the present invention has the following beneficial effects:

[0042] 1) Based on the architecture of the TACS system and LTE-M network, this invention adds an LTE-M interface monitoring server, an LTE-M interface monitoring and analysis terminal, and an in-vehicle storage device to achieve real-time capture of TACS service data, LTE-M signaling, and in-vehicle data. After storage, the data is correlated, synchronized, and analyzed to achieve real-time monitoring of the LTE-M of the TACS system. This solves the difficulty of previous fault analysis and improves the efficiency of troubleshooting.

[0043] 2) This invention performs multi-faceted analysis based on stored business data and signaling, including sequence number detection analysis, timestamp monitoring analysis, communication cycle monitoring analysis, network performance quality analysis, data filtering analysis, and data comparison analysis. It also displays data, issues alarms, and generates statistical reports, which helps to diagnose the quality of vehicle-to-ground network communication in depth, discover potential problems, and accelerate the analysis and resolution of abnormal problems. Attached Figure Description

[0044] Figure 1 is a schematic diagram of the existing TACS system architecture;

[0045] Figure 2 is a schematic diagram of the structure of the LTE-M interface monitoring device of the TACS system in this invention;

[0046] Figure 3 is a schematic diagram of the LTE-M interface monitoring function architecture of the TACS system in this invention;

[0047] Figure 4 is a schematic diagram of the existing TACS normal control mode;

[0048] Figure 5 is a schematic diagram of the existing TACS degradation control mode;

[0049] In the attached diagram, MSS: Metro Maintenance Support System, ATS: Automatic Train Monitoring System, WRC: Resource Manager, WTC: Train Manager, OC: Target Controller, PM: Switch, ESP: Emergency Stop Button, PSD: Platform Screen Door System, VOBC: Onboard Controller, BLS: Location-Based Services, DMI: Onboard Human-Machine Interface, and TAU: Onboard Access Unit. Detailed Implementation

[0050] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0051] This embodiment relates to an LTE-M interface monitoring device for the TACS system. It adopts LTE-M interface monitoring and analysis based on the TACS system to conduct in-depth research on the data transmission indicators of the Onboard Controller (VOBC), Automatic Train Monitoring (ATS), Resource Manager (WRC), Train Manager (WTC), and Target Controller (OC) in the TACS system. Combined with the monitoring and analysis of LTE-M signaling, it can effectively enhance the ability to analyze, diagnose, and locate faults, providing favorable monitoring and protection for the safe operation of the system, thereby improving the safe production of the rail transit system.

[0052] As shown in Figure 4, under the normal control mode of the TACS system, the data flow is ATS-LTE-M system-vehicle controller VOBC-LTE-M system-resource manager WRC-target controller OC-turnout PM.

[0053] As shown in Figure 5, a VOBC (Vehicle Controller onboard unit) malfunction affects the BLS (Based on Location Services), thus entering degraded control mode. The data flow is: ATS (Automatic Train Services) - WTC (Train Manager on Trackside) - WRC (Resource Manager on Track Control Center) - OC (Target Controller on Track) - PM (Turnout on Track).

[0054] Based on the TACS data control process and the TACS system redundant dual-network architecture, the redundant dual-network architecture requires each of the primary and backup systems to be configured with a set of LTE-M interface monitoring equipment. Each set of equipment includes an LTE-M interface monitoring server 11, an LTE-M interface monitoring and analysis terminal 12, and an on-board storage device 31.

[0055] As shown in Figure 2, the LTE-M interface monitoring device for the TACS system includes an LTE-M module 2, an LTE-M interface monitoring module 1, a TACS service module 3, and an on-board module 4, which are connected to the interface of the LTE-M module 2.

[0056] The LTE-M module 2 includes an LTE core switch 21, an EPC core network, and an eNB base station.

[0057] The LTE-M interface monitoring module 1 includes an LTE-M interface monitoring server 11 and an LTE-M interface monitoring and analysis terminal 12 that are interconnected.

[0058] TACS business module 3 includes the TACS core switch 31, and the Automatic Train Monitoring System (ATS), Train Manager (WTC), Resource Manager (WRC), and Target Controller (OC) that interact with it for data.

[0059] The vehicle module 4 includes an interconnected vehicle controller (VOBC) and vehicle access unit (TAU), as well as a vehicle storage device 41 connected to the vehicle access unit (TAU). The vehicle storage device 41 is mainly responsible for real-time recording of vehicle data, providing strong support for subsequent vehicle-to-ground data correlation analysis.

[0060] LTE-M interface monitoring module 1 is also used to automatically download vehicle data and perform vehicle-to-ground comparison analysis on the vehicle access unit (TAU) data and the data mirrored by the LTE-M core switch.

[0061] The LTE core switch 21 is connected to the LTE-M interface monitoring server 11 and the TACS core switch 31. The LTE-M interface monitoring server 11 is connected to the TACS core switch 31 through the mirror port of the LTE core switch 21 to capture TACS service data and LTE-M signaling in real time. The mirror port includes the TACS service mirror port and the LTE-M signaling mirror port.

[0062] The LTE-M interface monitoring and analysis terminal 12 is responsible for analyzing the captured data and provides a user-friendly multi-condition query function, enabling users to easily retrieve the required business data, alarm information, etc. The query results are displayed in various intuitive formats such as lists and flowcharts, facilitating user understanding and analysis of the data.

[0063] This embodiment also relates to a method for monitoring the LTE-M interface of a TACS system, the method comprising:

[0064] Step S1, Data Acquisition:

[0065] The data monitoring function covers both data transmission monitoring and signaling monitoring, enabling comprehensive monitoring and analysis of network data packets. It monitors data transmission between VOBC and ATS, WRC, OC, and WTC in the TACS system, including capturing and recording key parameters such as data packet sequence numbers, timestamps, and communication cycles. Furthermore, it focuses on signaling monitoring of LTE core network switches in the LTE-M system, including the capture and analysis of S1 interface (signaling and S5, S6a, and S10 interface signaling in the interconnection system). Monitoring of vehicle-mounted TAU data is also included in the collection scope to support subsequent offline data analysis.

[0066] Data collection includes the following data:

[0067] a) Monitor and collect data packets exchanged between VOBC and ATS;

[0068] b) Monitor and collect data packets exchanged between VOBC and WRC;

[0069] c) Monitor and collect data packets exchanged between VOBC and OC;

[0070] d) Monitor and collect data packets exchanged between VOBC and WTC;

[0071] e) Monitor and collect LTE-M signaling, including S1 interface signaling and S5, S6a and S10 interface signaling;

[0072] f) Monitor and collect data from the vehicle access unit (TAU).

[0073] Step S2, Data storage:

[0074] All TACS service data and signaling collected by the monitoring are stored on the interface monitoring server 11 and the vehicle-mounted storage device 41; the vehicle-mounted access unit (TAU) data collected by the monitoring is stored on the vehicle-mounted storage device 41, and the storage capacity is designed in accordance with relevant standards and specifications to meet the monitoring needs of different scenarios.

[0075] In the data storage architecture, the stored dataset encompasses several core elements, such as sequence numbers to identify the uniqueness of the data, timestamps to record the specific time the data was generated, and clearly distinguishable source and destination addresses. This data formatting method aims to improve data traceability, time sensitivity, and directional clarity.

[0076] Regarding data storage format, the stored data includes, but is not limited to, key information such as serial numbers, timestamps, specified source addresses, and destination addresses. The data storage format of the interface monitoring server is consistent with that of the on-board storage device, which facilitates the correlation analysis between vehicle and ground data and improves the accuracy and efficiency of data analysis.

[0077] In terms of data storage management, the system adopts a standardized storage strategy, classifying and storing data according to TACS, LTE-M data categories and "year-month-day" format, which makes it easy for users to quickly locate and analyze data of specific time periods and specific types.

[0078] The system offers flexible data export methods, allowing users to download stored data via FTP or copy it locally for offline analysis.

[0079] Step S3, System Data Analysis and Control Signaling Analysis

[0080] The system's data analysis function provides users with powerful network data analysis capabilities, enabling real-time monitoring of TACS system service network performance and diagnosis of network faults. The details are as follows.

[0081] Sequence Number Monitoring and Analysis: Real-time tracking and recording of the sequence number of each data packet ensures data integrity and order. Through the sequence number, users can easily trace the transmission path of data packets, thereby analyzing issues such as packet loss and out-of-order delivery.

[0082] Timestamp monitoring and analysis: Accurately records the timestamp information for each data packet, including send and receive times. This data is essential for users to analyze performance metrics such as packet transmission latency and jitter. Timestamp data provides in-depth insights into network performance and helps identify potential problems.

[0083] Communication cycle monitoring and analysis: Monitor the data packet communication cycle of the TACS system at specified source / destination addresses, paying particular attention to the interaction characteristics between VOBC and ATS, WRC, OC, and WTC. This is highly valuable for evaluating network stability and real-time performance.

[0084] Network Performance Quality Analysis: This feature enables performance quality analysis, including latency and packet loss, of data exchanged between the TACS system's VOBC and ATS, WRC, OC, and WTC. By recording the time and duration of transmission interruptions exceeding specified thresholds, it performs probabilistic statistical analysis on packet loss and latency, providing users with in-depth understanding of network performance. Simultaneously, this function can record the time and number of lost packets and issue alarm messages. It also provides an interface for uploading analysis results, facilitating application-layer integration and display.

[0085] Data filtering and analysis: Based on the application layer interface interaction design, it supports data filtering and can capture network data that meets specified characteristics. By setting packet filtering conditions for specific IPs and ports, it is possible to target only specific data. This greatly improves the efficiency and accuracy of data analysis.

[0086] Data comparison and analysis: Supports comprehensive comparison and analysis of vehicle signal data and ground signal data within the selected time range, and provides users with a comprehensive network performance report by analyzing data packet information, transmission delay and packet loss rate that exceed the threshold.

[0087] Signaling parsing supports retrieving LTE-M core network signaling (S1, S5, S6a, and S10 interface signaling) for a specific time period, enabling rapid location of specified or abnormal signaling data segments. Simultaneously, it allows for the extraction of key information from the parsed signaling content, laying the foundation for subsequent analysis and synthesis.

[0088] Control signaling analysis includes signaling synthesis, anomaly analysis, and statistics.

[0089] For all signaling belonging to the same terminal, signaling synthesis can be performed. This supports the integration of scattered signaling data to form a complete signaling record for a specific terminal, facilitating the analysis of the terminal's behavior and status.

[0090] Anomaly analysis and statistics can analyze signaling messages containing anomalous keywords such as "cause" and "failure." By identifying these fields, it can determine anomalies or errors in the signaling. It also supports statistical analysis of the causes of signaling anomalies, providing data for maintenance personnel.

[0091] Step S4, Related Synchronization Analysis

[0092] The correlation and synchronization analysis of LTE-M interface monitoring can intelligently and automatically correlate TACS system data and LTE-M control signaling. When a TACS service data instance is detected to have excessive latency, it can correlate the corresponding LTE-M end-to-end signaling flow. During the correlation analysis, special attention is paid to and the signaling with abnormal fields is displayed. These signaling messages usually contain key fault information. By analyzing them, integrated monitoring of LTE-M system service data and control signaling can be achieved, thereby improving the efficiency of fault diagnosis.

[0093] Step S5, Data Display

[0094] Data visualization relies on analytical data support provided by the data processing layer and needs to include functions such as data display, alarm notification, and statistical reports.

[0095] The data display interface can monitor TACS service data and LTE-M signaling in real time, and also provides an analysis result query interface to provide users with intuitive service operation status and signaling interaction information.

[0096] The alarm notification interface can display a list of alarm information for the day, making it easy for users to be aware of system anomalies or potential risks in a timely manner. It also supports viewing historical alarms to help with fault tracing and problem analysis.

[0097] The statistical reports can support the statistics of the success rate of cross-base station handover during train operation, as well as the statistics of data packets that exceed the delay alarm threshold. These data provide data support for system optimization and fault prevention.

[0098] The LTE-M interface monitoring method for the TACS system is based on a three-layer architecture, as shown in Figure 3, which consists of a data acquisition layer, a data processing and analysis layer, and an application layer. The following is a detailed description of the three-layer architecture.

[0099] 1) Data Acquisition Layer: This layer forms the foundation of LTE-M interface monitoring. It is primarily responsible for the real-time and accurate collection of interface data and its storage for subsequent analysis. Data acquisition is crucial, involving the capture, cleaning, standardization, and storage of interface data. The integrity and validity of this data must be guaranteed.

[0100] 2) Data Processing Layer: This is the core of LTE-M interface monitoring, responsible for in-depth analysis and mining of collected data. This includes: analysis of data transmission metrics such as packet loss rate, latency, and transmission rate; control signaling analysis; and correlation and synchronization analysis between TACS services. Correlation and synchronization analysis between the vehicle and ground ends can diagnose the quality of vehicle-to-ground network communication. The results from the data processing layer will provide comprehensive data support for the application layer.

[0101] 3) Application Layer: Serving as the user interaction window, this layer is responsible for presenting the analysis results from the data processing layer to users in an intuitive way. The data display can show real-time TACS service and LTE-M signaling monitoring and analysis, and also supports offline analysis applications, helping users quickly understand the health status of vehicle-to-ground network communication quality. In case of anomalies, timely alarms are triggered, reminding users to take appropriate measures through alarm notifications. Simultaneously, statistical reports provide users with rich data visualization options, enabling them to gain a deeper understanding of statistical information over a specific period.

[0102] The Train Autonomous System (TACS) for vehicle-to-vehicle communication uses LTE-M technology to carry service data. With the widespread application of the TACS system, the monitoring and analysis of the LTE-M interface has become particularly important. Therefore, a monitoring method for the LTE-M interface in the TACS system scenario is proposed to provide strong support for the safe and efficient operation of the train autonomous operation system.

[0103] This method studies LTE-M interface monitoring in the TACS application environment. LTE-M interface monitoring evaluates its performance and stability by monitoring data transmission of the LTE-M interface, including key indicators such as data transmission rate, packet loss rate, and latency; it records and locates communication packet loss and instantaneous transmission interruptions to analyze whether the train-to-ground transmission interruption caused the train's emergency braking; it can also monitor S1 interface signaling to conduct in-depth analysis of the signaling interaction content during the establishment of the control plane and user plane, thereby diagnosing the quality of train-to-ground network communication and ensuring the safety and stability of the system.

Claims

1. An LTE-M interface monitoring apparatus for a TACS system, the apparatus for monitoring TACS traffic data and LTE-M signalling, characterised in that, The device comprises an LTE-M module (2), an LTE-M interface monitoring module (1) connected with the LTE-M module (2), a TACS service module (3) and a vehicle module (4); The LTE-M interface monitoring module (1) monitors the TACS service data interacting with the TACS service module (3) and the LTE-M signaling interacting with the vehicle module (4) in real time through the LTE-M module (2); The LTE-M interface monitoring module (1) synchronizes and analyzes the captured TACS service data and LTE-M signaling; The vehicle module (4) comprises a vehicle storage device (41) and a vehicle access unit TAU, and the vehicle storage device (41) captures vehicle data in real time through the vehicle access unit TAU.

2. The LTE-M interface monitoring device for a TACS system of claim 1, wherein, The LTE-M interface monitoring module (1) comprises an LTE-M interface monitoring server (11) and an LTE-M interface monitoring analysis terminal (12); the LTE-M interface monitoring server (11) is used for monitoring and capturing TACS service data and LTE-M signaling in real time, and providing the data to the LTE-M interface monitoring analysis terminal (12) after classifying the data; the LTE-M interface monitoring analysis terminal (12) synchronizes and analyzes the received data.

3. The LTE-M interface monitoring device for TACS system of claim 1, wherein, The LTE-M interface monitoring module (1) compares and analyzes the ground data and the vehicle data, wherein the ground data and the vehicle data both comprise service data and LTE-M signaling.

4. The LTE-M interface monitoring device for a TACS system of claim 2, wherein, The LTE-M interface monitoring server (11) is connected with an LTE core switch (21) of the LTE-M module (2).

5. The LTE-M interface monitoring device for a TACS system of claim 2, wherein, The LTE core switch (21) monitors the service data and signaling of the TACS service module (3) in real time through a mirror port, and the mirror port comprises a TACS service mirror port and an LTE-M signaling mirror port.

6. The LTE-M interface monitoring device for a TACS system of claim 3, wherein, The service data comprises: a) data packets interacting between a vehicle controller VOBC and a train automatic monitoring system ATS; b) data packets interacting between the vehicle controller VOBC and a resource manager WRC; c) data packets interacting between the vehicle controller VOBC and an object controller OC; d) data packets interacting between the vehicle controller VOBC and a train manager WTC; and e) vehicle access unit TAU data.

7. An LTE-M interface monitoring device for a TACS system according to claim 6, characterised in that, The train automatic monitoring system ATS, the train manager WTC, the resource manager WRC and the object controller OC interact with a TACS core switch (31) of the TACS service module (3); The vehicle module (4) comprises a vehicle controller VOBC, and the vehicle controller VOBC interacts with the TACS service module (3) through the LTE-M module (2).

8. The LTE-M interface monitoring device for a TACS system of claim 3, wherein, The LTE-M signaling comprises S1 interface signaling and S5, S6a and S10 interface signaling.

9. The LTE-M interface monitoring device for a TACS system of claim 2, wherein, The LTE-M interface monitoring analysis terminal (12) further comprises a display, alarm notification and report statistics for the analysis results of the service data and the signaling.

10. The LTE-M interface monitoring device for a TACS system of claim 1, wherein, The synchronization and analysis comprise service index analysis, signaling analysis, signaling analysis and correlation synchronization analysis.

11. An LTE-M interface monitoring device for a TACS system according to claim 10, characterised in that, The service index analysis includes serial number detection analysis, timestamp monitoring analysis, communication cycle monitoring analysis, network performance quality analysis, data filtering analysis and data comparison analysis; The signaling analysis is used for retrieving the LTE-M core network signaling of a specific period of time according to time, extracting key information, and locating to specified or abnormal signaling data segments; The signaling analysis includes signaling synthesis, abnormal analysis and statistics; The correlation synchronization analysis is used for correlating the TACS service data and the LTE-M signaling to troubleshoot faults.

12. The LTE-M interface monitoring device for a TACS system of claim 1, wherein, The vehicle-mounted storage device (41) is connected with the TAU device of the vehicle-mounted module (4).

13. A method of utilizing the LTE-M interface monitoring apparatus for TACS system as claimed in claim 1, characterized in that, The method includes the following steps: Step S1, capturing TACS ground data and vehicle-mounted data in real time, including service data and LTE-M signaling; Step S2, storing the captured data; Step S3, synchronously correlating and analyzing the stored data; Step S4, displaying the data based on the synchronous correlation and analysis.

14. The method of claim 13, wherein, The service data includes data packets of the interaction between the VOBC and the ATS, WRC, OC and WTC in the TACS system, and vehicle-mounted data; the LTE-M signaling includes S1 interface signaling and S5, S6a and S10 interface signaling.

15. The method of claim 13, wherein, The correlation synchronization and analysis includes service index analysis, signaling analysis, signaling analysis and correlation synchronization analysis; The interface monitoring server (11) and the vehicle-mounted storage device (41) store the captured data, and the storage formats are the same.

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