Train MVB / WTB network testing device based on IEC61375

Abstract

The invention discloses an IEC61375-based train MVB / WTB network test device, which comprises an MVB intelligent diagnostic apparatus, the MVB intelligent diagnostic apparatus comprises a case body, a WIFI antenna, a 4G antenna, an aviation plug, a communication network port, a liquid crystal display screen, a power panel, a carrier plate, a core plate, a wireless module, a battery template and an isolation small plate, the case body is composed of a case bottom plate, a case front panel, a case side plate and a case rear panel, and the case bottom plate is composed of a case bottom plate, a case front panel, a case side plate and a case rear panel. The case bottom plate is located at the bottom, the case front panel and the case rear panel are arranged on the front side and the rear side of the case bottom plate respectively, the two sets of case side plates are symmetrically installed on the left side and the right side of the case bottom plate, the WIFI antenna, the 4G antenna, the aviation plug and the communication network port are installed in the case front panel, and the liquid crystal display screen is installed on the case body. The power supply board, the carrier board, the core board, the wireless module, the battery template and the small isolation board are installed in the case body. According to the invention, the operation is simplified, the cost is reduced, the user friendliness is improved, the installation and maintenance cost is reduced, and the test precision is improved.

Description

Technical Field

[0001] The invention relates to the technical field of train network communication systems, in particular to a train MVB / WTB network testing device based on IEC61375. Background Art

[0002] Train network communication systems play a vital role in modern railway transportation. These systems are not only used for communication and control of various equipment inside the train, but also support data exchange between the train and ground equipment. The main train networks include: MVB: MVB is a multi-functional vehicle bus system used to connect various equipment on the train, such as control systems, sensors, displays, etc. It provides efficient data transmission and real-time control capabilities; WTB: WTB is a train line bus system used for communication between train vehicles and data exchange between vehicles and ground equipment. The WTB system usually contains multiple nodes, each of which is responsible for data transmission and reception. The IEC61375 standard was developed by the International Electrotechnical Commission to standardize the physical layer, data link layer and application layer protocols of the train communication network. The main purpose of this standard is to promote interoperability between train equipment from different manufacturers and to improve the reliability, safety and efficiency of the train system. Physical layer: The IEC61375 standard defines the physical interface and connection method of the train network to ensure that various devices can effectively connect and communicate. Data link layer: This layer defines the protocol and frame structure for data transmission to ensure reliable transmission and correct parsing of data. Application layer: The IEC61375 standard specifies specific application protocols required for train control and monitoring, such as sensor data acquisition, signal control and fault diagnosis functions.

[0003] Modern train systems have increasingly higher requirements for data transmission, including high-speed data transmission, real-time requirements, and data reliability. Train MVB and WTB network test devices need to be able to meet the following requirements: High-speed data transmission: ensure that large amounts of data, such as real-time sensor data and control instructions, are transmitted quickly and accurately during train operation; Real-time requirements: ensure that the test device can respond to the real-time data transmission requirements of the train network in a timely manner to support the immediate control and monitoring of the train system; Data reliability: The test device needs to be able to ensure that data is not lost or damaged during transmission, and can correctly parse and process various data formats.

[0004] However, the existing train MVB and WTB network testing methods and equipment have the following problems in practical applications: insufficient test accuracy: the existing test devices have certain errors in data analysis and processing accuracy, which affects the accuracy of the test results; low test efficiency: some test devices are complicated to operate and the test process is time-consuming, which limits the efficiency of train network fault diagnosis and maintenance; compatibility issues: due to the diversity and complexity of train networks, existing test devices may not have sufficient flexibility and compatibility and cannot adapt to various train network configurations of different manufacturers and models. Therefore, it is necessary to design corresponding technical solutions to solve the existing technical problems. Summary of the invention

[0005] The purpose of the present invention is to provide a train MVB / WTB network test device based on IEC61375, which solves the technical problems that the existing test devices have certain errors in data analysis and processing accuracy, affecting the accuracy of the test results; low test efficiency: some test devices are complicated to operate and the test process is time-consuming, which limits the efficiency of train network fault diagnosis and maintenance; compatibility issues: due to the diversity and complexity of train networks, existing test devices may not have sufficient flexibility and compatibility and cannot adapt to train network configurations of various manufacturers and models.

[0006] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: a train MVB / WTB network test device based on IEC61375, including an MVB intelligent diagnostic instrument, the MVB intelligent diagnostic instrument including a chassis body, a WIFI antenna, a 4G antenna, an aviation plug, a communication network port, a liquid crystal display, a power board, a carrier board, a core board, a wireless module, a battery template and an isolation board, the chassis body is composed of a chassis bottom plate, a chassis front panel, a chassis side panel, and a chassis rear panel, the chassis bottom plate is located at the bottom, the chassis front panel and the chassis rear panel are respectively arranged on the front and rear sides of the chassis bottom plate, and the chassis side panel is respectively provided with two groups of And they are symmetrically installed on the left and right sides of the chassis bottom plate, the WIFI antenna, 4G antenna, aviation plug and communication network port are installed in the front panel of the chassis, the LCD display is installed on the chassis body, the power board, carrier board, core board, wireless module, battery template and isolation board are installed in the chassis body, wherein the power board is connected to the battery template through a line, the core board is installed on the carrier board, and an MVB bus is connected between several groups of MVB devices to be tested, the MVB intelligent diagnostic instrument is connected to the MVB bus through an MVB device connecting line, and the MVB intelligent diagnostic instrument is connected to a PC through a network cable.

[0007] As a preferred embodiment of the present invention, the data transmission path of the MVB intelligent diagnostic instrument uses FPGA as the core processing unit. The FPGA controls the data transmission process of the train network through internal logic and is responsible for data collection, processing, transmission and monitoring. The FPGA communicates with other modules inside the train through the MVB / WTB interface. The FPGA collects real-time signals from the train network through a signal acquisition board.

[0008] As a preferred embodiment of the present invention, the MVB intelligent diagnostic instrument performs processing by a processing algorithm during the detection process. The specific formula is as follows:

[0009] When implemented at the hardware level, the CRC formula is as follows:

[0010] R(x)=(D(x)*x k )modG(x)

[0011] D(x) is the data polynomial, representing the data bits transmitted;

[0012] G(x) is a generating polynomial, commonly used in polynomial standards in different protocols (such as x 16 +x 12 +x 5 +1 for CRC-16);

[0013] R(x) is the remainder, i.e., the CRC check code;

[0014] k is the order of the generating polynomial;

[0015] At the sending end, the data polynomial D(x) generates the CRC check code R(x) through a modular operation with the generator polynomial G(x). The receiving end recalculates the CRC and compares it with the transmitted dH(a, b)=data. If inconsistency is found, it means that an error occurred during the data transmission process;

[0016] In error detection and correction, the Hamming distance is used to measure the number of different bits between two pieces of data. The calculation formula of the Hamming distance dHd_HdH is:

[0017]

[0018] a i and b i is the binary representation of the data bit

[0019] n is the data length

[0020] The packet loss rate of the system is used to measure the packet loss during data transmission. The packet loss rate (PLR) formula is:

[0021]

[0022] FPGA calculates the packet loss rate by detecting the sequence number continuity and timeout mechanism of the data packet, and reduces the PLR ​​by optimizing the retransmission mechanism to ensure reliability.

[0023] As a preferred embodiment of the present invention, the MVB intelligent diagnostic instrument supports three network media: EMD, ESD and ESD, and supports the connection of intermediate node devices.

[0024] As a preferred embodiment of the present invention, the MVB intelligent diagnostic instrument uses ADC for data acquisition, supports a data sampling rate of 60MSps, decodes and saves or uploads dual-channel data on the MVB bus in real time through FPGA, judges the bus bit error rate and load rate in real time, and captures error messages by triggering.

[0025] As a preferred embodiment of the present invention, the MVB intelligent diagnostic instrument adopts an RJ45 Ethernet interface with a communication rate of 100 / 1000Mbps.

[0026] As a preferred embodiment of the present invention, the input impedance of the MVB intelligent diagnostic instrument is as high as 2.2 MΩ.

[0027] Compared with the prior art, the present invention has the following beneficial effects:

[0028] 1. The present invention simplifies operation and reduces cost. By optimizing the design and simplifying the operation interface, it improves user-friendliness and reduces installation and maintenance costs, and improves test accuracy and reliability: it introduces more accurate data processing algorithms and real-time detection technologies, improves test accuracy and data transmission reliability, enhances response speed, optimizes data processing paths and response mechanisms, ensures that the device can quickly respond to real-time data transmission requirements, and improves the response speed of the system.

[0029] 2. This solution includes the specification requirements of the physical layer, data link layer and application layer. High-precision data acquisition and processing: advanced data acquisition modules and signal processing units are introduced to improve the accurate analysis and processing capabilities of train MVB and WTB network data. Real-time and response speed optimization: by optimizing the data transmission path and real-time detection algorithm, ensure that the device can quickly respond to real-time data transmission requirements and improve the response speed of the system. User interface and operation simplification: an intuitive user interface and simplified operation process are designed to reduce the complexity of installation configuration and use and maintenance, and improve user friendliness. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Figure 1 This is a structural diagram of the MVB intelligent diagnostic instrument of the present invention;

[0031] Figure 2A schematic diagram of a MVB network diagnosis connection method according to the present invention;

[0032] Figure 3 This is a schematic structural diagram of the second MVB network diagnosis connection mode of the present invention;

[0033] Figure 4 This is a schematic structural diagram of the third MVB network diagnosis connection mode of the present invention;

[0034] Figure 5 This is a schematic diagram of the data transmission path of the present invention;

[0035] Figure 6 It is a test flow chart of the present invention.

[0036] In the figure: 1. Chassis body; 2. WIFI antenna; 3. 4G antenna; 4. Aviation plug; 5. Communication network port; 6. LCD screen; 7. Power board; 8. Carrier board; 9. Core board; 10. Wireless module; 11. Battery template; 12. Isolation board; 13. Chassis bottom plate; 14. Chassis front panel; 15. Chassis side panel; 16. Chassis rear panel. DETAILED DESCRIPTION

[0037] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0038] See also Figure 1-6The present invention provides a technical solution: a train MVB / WTB network test device based on IEC61375, including an MVB intelligent diagnostic instrument, the MVB intelligent diagnostic instrument includes a chassis body 1, a WIFI antenna 2, a 4G antenna 3, an aviation plug 4, a communication network port 5, a liquid crystal display 6, a power board 7, a carrier board 8, a core board 9, a wireless module 10, a battery template 11 and an isolation board 12, the chassis body 1 is composed of a chassis bottom plate 13, a chassis front panel 14, a chassis side panel 15, and a chassis rear panel 16, the chassis bottom plate 13 is located at the bottom, the chassis front panel 14 and the chassis rear panel 16 are respectively arranged on the front and rear sides of the chassis bottom plate 13, and the chassis side panels 15 are respectively provided with two groups and symmetrically installed on the chassis On the left and right sides of the bottom plate 13, the WIFI antenna 2, the 4G antenna 3, the aviation plug 4 and the communication network port 5 are installed in the front panel 14 of the chassis, the LCD display 6 is installed on the chassis body 1, the power board 7, the carrier board 8, the core board 9, the wireless module 10, the battery template 11 and the isolation board 12 are installed in the chassis body 1, wherein the power board 7 is connected to the battery template 11 through a line, the core board 9 is installed on the carrier board 8, and an MVB bus is connected between several groups of MVB devices to be tested. The MVB intelligent diagnostic instrument is connected to the MVB bus through the MVB device connecting line, and the MVB intelligent diagnostic instrument is connected to the PC through a network cable. When performing occasional fault testing, it can be automatically collected without connecting to the PC.

[0039] Further improvement, such as Figure 5 As shown in the figure, the data transmission path of the MVB intelligent diagnostic instrument uses FPGA as the core processing unit. FPGA controls the data transmission process of the train network through internal logic and is responsible for data collection, processing, transmission and monitoring. FPGA communicates with other modules inside the train through the MVB / WTB interface. FPGA collects real-time signals from the train network through the signal acquisition board. Specific optimization points:

[0040] Parallel processing capability: FPGA has efficient parallel processing capability and can process multiple data streams simultaneously, thus reducing the delay time of data processing;

[0041] Hardware acceleration: Using the hardware acceleration feature of FPGA, some data verification and transmission protocol processing can be completed directly in the hardware without CPU processing, which greatly reduces processing time and improves data transmission efficiency;

[0042] Custom logic optimization: Specialized logic circuits can be customized in FPGA to reduce redundant steps in protocol processing and optimize data processing flow for specific train communication protocols (such as MVB / WTB in IEC61375).

[0043] Low latency: FPGA’s hardware-based processing has lower latency than traditional processor solutions, thus enabling almost real-time data transmission, which is essential for critical signals in train networks to ensure that real-time requirements are met;

[0044] High-frequency data acquisition: The signal acquisition board can acquire data from the network at a high frequency and immediately transmit it to the FPGA for processing, ensuring that there is almost no delay between data acquisition and processing.

[0045] Real-time data feedback: Through the parallel processing capability of FPGA, data analysis can be performed while data is collected and processed, anomalies in the network can be quickly discovered and real-time feedback can be provided;

[0046] High-speed transmission channel: By optimizing the data transmission path (such as the improvement of MVB / WTB bus protocol), the data transmission time between different modules is shortened and the response speed is enhanced;

[0047] Adaptive data processing: FPGA can implement adaptive processing mechanisms for different data streams, identify key data and prioritize processing, thereby speeding up responses to important instructions and signals.

[0048] Further improved, the MVB intelligent diagnostic instrument uses a processing algorithm during the detection process, and the specific formula is as follows:

[0049] When implemented at the hardware level, the CRC formula is as follows:

[0050] Rx=Dx*x k modGx

[0051] D(x) is the data polynomial, representing the data bits transmitted;

[0052] G(x) is a generating polynomial, commonly used in polynomial standards in different protocols (such as x 16 +x 12 +x 5 +1 for CRC-16;

[0053] Rx is the remainder, i.e., the CRC check code;

[0054] k is the order of the generating polynomial;

[0055] At the sending end, the data polynomial D(x) generates the CRC check code R(x) through a modular operation with the generator polynomial G(x). The receiving end recalculates the CRC and compares it with the transmitted dH(a, b)=data. If inconsistency is found, it means that an error occurred during the data transmission process;

[0056] In error detection and correction, the Hamming distance is used to measure the number of different bits between two pieces of data. The calculation formula of the Hamming distance dHd_HdH is:

[0057]

[0058] a i and b i is the binary representation of the data bit

[0059] n is the data length

[0060] The packet loss rate of the system is used to measure the packet loss during data transmission. The packet loss rate PLR ​​formula is:

[0061]

[0062] FPGA calculates the packet loss rate by detecting the sequence number continuity and timeout mechanism of the data packet, and reduces the PLR ​​by optimizing the retransmission mechanism to ensure reliability. Automatic retransmission: For erroneous or lost data packets, FPGA requests the sender to retransmit according to the ARQ protocol to ensure the integrity of the final data. Priority scheduling: FPGA performs transmission scheduling according to the priority of the data to ensure that high-priority command and control data can be responded to quickly, and low-priority data is processed when the network is idle. Aggregation and segmentation: For smaller data packets, FPGA can aggregate them into larger data packets for transmission to reduce communication overhead. For ultra-large data packets, FPGA performs segmented transmission. Bandwidth utilization optimization: FPGA will dynamically monitor the network bandwidth and adjust the data transmission rate according to the real-time bandwidth situation to ensure smooth transmission of the data stream and avoid congestion. CRC check accuracy: CRC detection capability can cover a single bit It can detect single-bit or multi-bit errors in the data transmission process quickly, with high detection accuracy and low false positive rate: through the combination of multiple detection mechanisms (CRC, frame format check, packet loss detection, etc.), it can ensure that most communication errors are detected and the false positive rate is reduced. Hamming distance: Introducing a larger Hamming distance in data encoding can increase error detection and correction capabilities and improve the accuracy of data recovery. Parallel processing capability: FPGA can process multiple data streams simultaneously through parallel processing, reducing system waiting time and ensuring real-time response. Real-time error correction: The automatic retransmission of error frames and the rapid recovery mechanism of packet loss ensure that data can be recovered in time even in complex network environments, ensuring the reliability of data transmission. Fault-tolerant capability: FPGA supports fault-tolerant logic design. By optimizing the hardware circuit, it can ensure that the system can still operate normally when certain hardware failures occur, thereby improving the reliability of the system.

[0063] Further improved, the MVB intelligent diagnostic instrument supports three network media: EMD, ESD and ESD, and supports the connection of intermediate node devices.

[0064] As a further improvement, the MVB intelligent diagnostic instrument uses ADC for data acquisition, supports a data sampling rate of 60MSps, decodes and saves or uploads dual-channel data on the MVB bus in real time through FPGA, determines the bus bit error rate and load rate in real time, and captures error messages by triggering.

[0065] Further improvement, such as Figure 1 As shown, the MVB intelligent diagnostic instrument uses an RJ45 Ethernet interface with a communication rate of 100 / 1000Mbps.

[0066] Specifically, the input impedance of the MVB intelligent diagnostic instrument is as high as 2.2MΩ.

[0067] When in use: In the MVB network environment, the device supports the configuration of only statistical process data, detection channels, and media type information, and also supports the configuration of message monitoring duration, load rate, bit error rate, waveform analysis parameter standards, device acquisition waveform thresholds and decoding parameters; In the WTB network environment, the device supports the configuration of message monitoring duration, load rate, bit error rate, waveform analysis parameter standards, device acquisition waveform thresholds and decoding parameters, and can restore all configuration parameters to the default configuration with one click through the "Restore Defaults" button.

[0068] MVB / WTB network quality analysis

[0069] Provides MVB network topology editing template and supports train topology import and management functions;

[0070] In the MVB "Network Quality Analysis" mode, the diagnosis function can be performed with or without a topology diagram. When a topology diagram is available, the car number and the device to which the problem port belongs can be confirmed and the cable fault can be detected. When a topology diagram is not available, the port fault can be detected.

[0071] Port failures can be detected in WTB "Network Quality Analysis" mode;

[0072] After the analysis is completed, the software will automatically generate a result report. Click the "Result" button in the menu bar to open the result report. The topology report can be exported to a word or HTML format file;

[0073] The analysis report includes bus statistics, fault diagnosis results, fault summary information, and detailed device and port analysis results.

[0074] Analysis of MVB / WTB occasional failures

[0075] Support MVB topology import management;

[0076] Supports configuration of analysis conditions for occasional fault triggering;

[0077] Support bus device and port scanning, support port and device filtering;

[0078] Supports occasional fault diagnosis and analysis and generates diagnostic reports;

[0079] Supports fault data viewing, including waveforms and messages;

[0080] The trigger waveform duration is 1024ms, and the waveform data within 5ms before the trigger moment can be recorded and saved together;

[0081] Supports marking messages that meet trigger conditions.

[0082] MVB variable monitoring

[0083] The MVB variable monitoring function is used to view the values ​​of application variables in the bus and their changing status in real time. The software functions include:

[0084] Supports displaying the changing curve of variable values ​​in the MVB bus through waveform controls;

[0085] Supports displaying the real-time values ​​of variables in the MVB bus in a list format;

[0086] It supports real-time display of the health status of each device in each carriage of the MVB bus in the form of a topology diagram, and statistical analysis of the bit error rate, main frame period and response time of each port of each device.

[0087] In the description of the present invention, it is necessary to understand that the terms "coaxial", "bottom", "one end", "top", "middle", "the other end", "upper", "one side", "top", "inside", "front", "center", "both ends" and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on the present invention.

[0088] In addition, the terms "first", "second", "third" and "fourth" are used for descriptive purposes only and are not to be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, the features defined as "first", "second", "third" and "fourth" may explicitly or implicitly include at least one of such features.

[0089] In the present invention, unless otherwise clearly stipulated and limited, the terms such as "installation", "setting", "connection", "fixation" and "screw-on" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral one; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium; it can be the internal connection of two elements or the interaction relationship between two elements. Unless otherwise clearly defined, ordinary technicians in this field can understand the specific meanings of the above terms in the present invention according to the specific circumstances.

[0090] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A train MVB / WTB network test device based on IEC61375, including an MVB intelligent diagnostic instrument, characterized in that: The MVB intelligent diagnostic instrument comprises a chassis body (1), a WIFI antenna (2), a 4G antenna (3), an aviation plug (4), a communication network port (5), a liquid crystal display (6), a power board (7), a carrier board (8), a core board (9), a wireless module (10), a battery template (11) and an isolation board (12). The chassis body (1) is composed of a chassis bottom plate (13), a chassis front panel (14), a chassis side panel (15) and a chassis rear panel (16). The chassis bottom plate (13) is located at the bottom, the chassis front panel (14) and the chassis rear panel (16) are respectively arranged on the front and rear sides of the chassis bottom plate (13), and the chassis side panels (15) are respectively arranged in two groups and symmetrically installed on the left and right sides of the chassis bottom plate (13). The WIFI antenna (2), 4G antenna (3), aviation plug (4) and communication network port (5) are installed in the front panel (14) of the chassis, the liquid crystal display screen (6) is installed on the chassis body (1), the power board (7), the carrier board (8), the core board (9), the wireless module (10), the battery template (11) and the isolation board (12) are installed in the chassis body (1), wherein the power board (7) is connected to the battery template (11) through a line, the core board (9) is installed on the carrier board (8), an MVB bus is connected between several groups of MVB devices to be tested, the MVB intelligent diagnostic instrument is connected to the MVB bus through an MVB device connecting line, and the MVB intelligent diagnostic instrument is connected to a PC through a network cable.

2. The train MVB / WTB network test device based on IEC61375 according to claim 1, characterized in that: The data transmission path of the MVB intelligent diagnostic instrument uses FPGA as the core processing unit. The FPGA controls the data transmission process of the train network through internal logic and is responsible for data collection, processing, transmission and monitoring. The FPGA communicates with other modules inside the train through the MVB / WTB interface. The FPGA collects real-time signals from the train network through the signal acquisition board.

3. The train MVB / WTB network test device based on IEC61375 according to claim 1, characterized in that: The MVB intelligent diagnostic instrument performs processing through a processing algorithm during the detection process. The specific formula is as follows: When implemented at the hardware level, the CRC formula is as follows: R(x)=(D(x)*x k )modG(x) D(x) is the data polynomial, representing the data bits transmitted; G(x) is a generating polynomial, commonly used in polynomial standards in different protocols (such as x 16 +x 12 +x 5 +1 for CRC-16); R(x) is the remainder, i.e., the CRC check code; k is the order of the generating polynomial; At the sending end, the data polynomial D(x) generates the CRC check code R(x) through a modular operation with the generator polynomial G(x). The receiving end recalculates the CRC and compares it with the transmitted dH(a, b)=data. If inconsistency is found, it means that an error occurred during the data transmission process; In error detection and correction, the Hamming distance is used to measure the number of different bits between two segments of data. The calculation formula of the Hamming distance dHd_HdH is: a i and b i is the binary representation of the data bit n is the data length The packet loss rate of the system is used to measure the packet loss during data transmission. The packet loss rate (PLR) formula is: FPGA calculates the packet loss rate by detecting the sequence number continuity and timeout mechanism of the data packet, and reduces the PLR ​​by optimizing the retransmission mechanism to ensure reliability.

4. The train MVB / WTB network test device based on IEC61375 according to claim 1, characterized in that: The MVB intelligent diagnostic instrument supports three network media: EMD, ESD and ESD, and supports the connection of intermediate node devices.

5. The train MVB / WTB network test device based on IEC61375 according to claim 1, characterized in that: The MVB intelligent diagnostic instrument uses ADC for data acquisition, supports 60MSps data sampling rate, decodes and saves or uploads dual-channel data on the MVB bus in real time through FPGA, determines the bus bit error rate and load rate in real time, and captures error messages by triggering.

6. The train MVB / WTB network test device based on IEC61375 according to claim 1, characterized in that: The MVB intelligent diagnostic instrument adopts an RJ45 Ethernet interface with a communication rate of 100 / 1000Mbps.

7. The train MVB / WTB network test device based on IEC61375 according to claim 1, characterized in that: The input impedance of the MVB intelligent diagnostic instrument is as high as 2.2 MΩ.

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