A monitoring system for rail transit trains

Abstract

This utility model provides a monitoring system for rail transit trains, which realizes unified management of monitoring data of various train components, and also facilitates system maintenance and subsequent upgrades. The system includes: axle temperature sensors and vibration sensors installed on the running gear and traction motor respectively, used to detect temperature and vibration data at their respective installation locations; a pre-processor installed at the bottom of the vehicle body, used to convert the analog data collected by the axle temperature sensors and vibration sensors into digital signals; a switch board connected to the pre-processor for data interaction; a camera connected to the switch board; a processing unit connected to the switch board, which receives data acquired by the switch board and outputs judgment results; a storage board connected to the switch board for compressing the collected data; and a hard disk connected to the storage board for storing the data compressed by the storage board.

Description

Technical Field

[0001] This utility model relates to the field of rail transit, and in particular to a monitoring system for rail transit trains. Background Technology

[0002] With the rapid development of urban rail transit, people's reliance on and trust in rail transit are increasing, and the operating mileage and load of the rail transit industry are also gradually increasing.

[0003] The train consists of multiple components such as the running gear, traction motor, and car body. Each of these components is equipped with a monitoring system to ensure the normal operation of the train. In the current technology, each component of the train usually operates its own MCU and sensors independently, monitoring its own situation. However, this also has some problems: it is difficult to manage and coordinate in a unified manner; the independent operation of each component's monitoring system means that data cannot be shared in real time, making it difficult to form a unified view of the overall operation status of the train; when a fault involves multiple components, there may be response delays or misjudgments; fault alarms from independent systems lack correlation analysis, requiring maintenance personnel to check the data of each component one by one, which is time-consuming; the monitoring systems of different components may use different communication protocols or technical standards, making integration difficult, upgrades and maintenance complex, and adding new onboard safety monitoring equipment may require modifying the interfaces of multiple independent systems, resulting in prominent compatibility issues. Utility Model Content

[0004] To address the aforementioned issues, this utility model provides a monitoring system for rail transit trains, which enables unified management of monitoring data from various train components and facilitates system maintenance and subsequent upgrades.

[0005] The technical solution is as follows: a monitoring system for rail transit trains, characterized in that it includes:

[0006] The sensor includes a shaft temperature sensor and a vibration sensor, which are respectively installed on the traveling part and the traction motor to detect the temperature and vibration data of the corresponding installation parts.

[0007] A pre-processor, installed at the bottom of the vehicle body, is connected to an axle temperature sensor and a vibration sensor, and is used to convert the analog data collected by the axle temperature sensor and the vibration sensor into digital signals.

[0008] A switch board, which is connected to the front-end processor, is used for data interaction;

[0009] A camera, which is connected to the switch board;

[0010] A processing unit is connected to the switch board, the processing unit receives data acquired by the switch board, and outputs a judgment result;

[0011] A storage board, connected to the switch board, is used to compress the collected data;

[0012] A hard disk, which is connected to a storage board, is used to store data compressed by the storage board.

[0013] Furthermore, the processing unit is capable of receiving camera data from the switch board, and the processing unit is connected to a display device.

[0014] Furthermore, the cameras include a pantograph camera and an in-vehicle camera. The pantograph camera is mounted on the roof of the vehicle and is used to capture the pantograph status. The in-vehicle cameras are respectively installed in the driver's cab and the passenger compartment and are used to monitor the situation in the driver's cab and the passenger compartment.

[0015] Furthermore, the processing unit employs a CPU core board, which receives data acquired by the switch board and outputs a determination result.

[0016] Furthermore, the processing unit employs a computing board, which includes an NVIDIA ORIN NX processor. The computing board receives data acquired by the switch board and outputs a determination result.

[0017] Furthermore, the computing board includes a gigabit Ethernet port and an M12-D interface connected to the ORIN NX processor. The computing board also includes an HDMI, a USB 3.0, and a Micro USB interface connected to the ORIN NX processor. The ORIN NX processor is equipped with an SSD connected via a PCIe interface. The ORIN NX processor is powered by a 12V power supply. The ORIN NX processor is equipped with an RTC clock, a WDT, and an LED.

[0018] Furthermore, the switch board is connected to the processing unit, camera, and front-end processor via an Ethernet port.

[0019] Furthermore, the preprocessor connects to the shaft temperature sensor and the vibration sensor via an ADC port.

[0020] This utility model's monitoring system for rail transit trains integrates multi-source monitoring data from various components to grasp the overall operating status of the train. It can monitor the temperature and vibration data of key components such as the running gear and traction motors. Furthermore, it can monitor the pantograph status, driver's cab, and passenger compartment in real time via cameras, achieving comprehensive and multi-dimensional monitoring of the train. This provides more comprehensive and accurate data support for safe train operation, facilitating timely fault detection, ensuring the safety and reliability of train operation, reducing accident risks, and enabling maintenance personnel to troubleshoot more efficiently, reducing maintenance time and labor costs. Simultaneously, the unified system architecture and standardized interfaces facilitate equipment maintenance and upgrades, reducing operational complexity and improving efficiency. Moreover, the system uses a switchboard as the core of data interaction, giving it excellent scalability and integrability, allowing for easy integration of new equipment without complex interface modifications to multiple independent systems. This facilitates continuous upgrading and improvement of the train monitoring system, better adapting to the evolving needs of the rail transit industry. Attached Figure Description

[0021] Figure 1 This is a system block diagram of the monitoring system for rail transit trains in Example 1;

[0022] Figure 2 This is a system block diagram of the monitoring system for rail transit trains in Example 2;

[0023] Figure 3 This is a block diagram of the computing board in Example 2. Detailed Implementation

[0024] Example 1:

[0025] See Figure 1 The present invention relates to a monitoring system for rail transit trains, comprising:

[0026] The sensors include a shaft temperature sensor 101 and a vibration sensor 102. The shaft temperature sensor and the vibration sensor are respectively installed on the running part and the traction motor. In the embodiment, the shaft temperature sensor and the vibration sensor are respectively installed at the axle box, gear box and motor base of the bottom of the running part, which can be used to detect the temperature and vibration data of the corresponding installation parts.

[0027] The pre-processor 200 is installed at the bottom of the vehicle body. The pre-processor 200 is connected to the axle temperature sensor 101 and the vibration sensor 102 and is used to convert the analog data collected by the axle temperature sensor 101 and the vibration sensor 102 into digital signals. The pre-processor 200 is connected to the axle temperature sensor 101 and the vibration sensor 102 through the ADC port.

[0028] The switch board 300 is connected to the front-end processor 200 for data interaction. In this embodiment, the switch board 300 is connected to the processing unit, camera, and front-end processor 200 via an Ethernet port. In practice, a modular architecture is built based on standardized interfaces, which facilitates the access of new devices, supports the conversion and compatibility between different communication protocols, and can reduce the difficulty of system integration and later maintenance.

[0029] The camera is connected to the switch board 300;

[0030] The processing unit is connected to the switch board 300. The processing unit receives the data acquired by the switch board 300 and outputs the judgment result.

[0031] Storage board 600 is connected to the switch board and is used to compress the collected data;

[0032] Hard disk 700 is connected to the storage board and is used to store data compressed by storage board 600, including system camera image information and sensor data information. The compressed data is stored in the hard disk for subsequent processing and recording.

[0033] In this embodiment, the processing unit is able to receive camera data from the switch board, and the processing unit is connected to a display device that can display the data collected by the camera.

[0034] The cameras in the embodiment include a pantograph camera 401 and an in-vehicle camera 402. The pantograph camera 401 is arranged on the roof of the vehicle body and is used to capture the pantograph status. The camera capturing the pantograph status can be used to check whether the train's pantograph lifting and lowering system is normal, and whether the pantograph-catenary system is normal, such as foreign objects hanging on the pantograph-catenary system or pantograph damage.

[0035] The in-vehicle cameras 402 are installed in the driver's cab and the passenger compartment respectively to monitor the situation in the driver's cab and the passenger compartment. The camera in the driver's cab observes whether the driver is driving normally, such as making or receiving phone calls in violation of regulations, driving while fatigued, or driving while distracted. The camera in the passenger compartment is located in the passenger compartment to monitor abnormal phenomena in the passenger compartment, such as fire, passengers arguing or fighting, whether the doors are opening or closing properly, people trapped in the vehicle, theft, begging or performing, or lost items.

[0036] In this embodiment, the processing unit uses a CPU core board 501. The CPU core board 501 receives data acquired by the switch board and outputs a judgment result. In this embodiment, the CPU core board can be an NXP LS1043 or a Rockchip RK3568 or RK3588. Based on the collected axle temperature and vibration digital data, it judges the operating status of the running gear and traction motor, and provides manual assistance for remote fault identification and understanding of the situation inside the train, reducing the workload of on-site troubleshooting, determining whether there are any abnormalities in the train, and providing early warnings for subsequent faults or problems, thereby improving the safety and stability of the train. This judgment can be based on the collected real-time data and historical data, or it can be based on the collected real-time data and a set threshold. Both can be achieved through simple settings of the CPU core board 501. How to output the judgment result of the operating status of the running gear and traction motor based on the collected data is a prior art method.

[0037] The front-end processor in this embodiment includes an analog-to-digital converter chip, an FPGA chip, and a CPU processor connected together. The CPU processor is connected to an Ethernet port via an Ethernet switching chip. The FPGA chip is an LFE5U-25F-6BG256I, the CPU processor is an HG-IMX6-CORE-BRD, the Ethernet switching module is a KS8995MI, and the analog-to-digital converter chips include MAX31865X20 and ADS1178X1. In this embodiment, the switch board is a Broadcom BCM53128KQLE, and the storage board can be a Rockchip RK3568 or a StarChip SSD2386.

[0038] In this embodiment, all data collected by the sensors are connected to the switch board through the front-end processor and then transmitted to the processing unit for centralized processing. The processing unit can perform comprehensive analysis and cross-verification to avoid misjudgment based on single data, forming a unified view of the overall train operation status, improving the system's perception capability and decision-making efficiency. The sensors cover multiple key areas such as the running gear, traction motor, pantograph, driver's cab, and passenger compartment, meeting the needs of all-round monitoring and applicable to various rail transit scenarios such as subways, light rail, and intercity rail.

[0039] Example 2:

[0040] See Figure 2 The present invention relates to a monitoring system for rail transit trains, comprising:

[0041] The sensors include a shaft temperature sensor 101 and a vibration sensor 102. The shaft temperature sensor and the vibration sensor are respectively installed on the running part and the traction motor. In the embodiment, the shaft temperature sensor and the vibration sensor are respectively installed at the axle box, gear box and motor base of the bottom of the running part, which can be used to detect the temperature and vibration data of the corresponding installation parts.

[0042] The pre-processor 200 is installed at the bottom of the vehicle body. The pre-processor 200 is connected to the axle temperature sensor 101 and the vibration sensor 102 and is used to convert the analog data collected by the axle temperature sensor 101 and the vibration sensor 102 into digital signals. The pre-processor 200 is connected to the axle temperature sensor 101 and the vibration sensor 102 through the ADC port.

[0043] The switch board 300 is connected to the front-end processor 200 for data interaction. In this embodiment, the switch board 300 is connected to the processing unit, the camera, and the front-end processor 200 via an Ethernet port.

[0044] The camera is connected to the switch board 300;

[0045] The processing unit is connected to the switch board 300. The processing unit receives the data acquired by the switch board 300 and outputs the judgment result.

[0046] Storage board 600 is connected to the switch board and is used to compress the collected data;

[0047] The hard drive is connected to the storage board and is used to store data compressed by the storage board.

[0048] In this embodiment, the processing unit is able to receive camera data from the switch board, and the processing unit is connected to a display device that can display the data collected by the camera.

[0049] The cameras in the embodiment include a pantograph camera 401 and an in-vehicle camera 402. The pantograph camera 401 is arranged on the roof of the vehicle body and is used to capture the pantograph status. The in-vehicle camera 402 is respectively installed in the driver's cab and the passenger compartment and is used to monitor the situation in the driver's cab and the passenger compartment.

[0050] In this embodiment, the processing unit uses a computing board 502, which includes an NVIDIA ORIN NX processor. The computing board 502 receives data obtained from the switch board and outputs the judgment result.

[0051] See Figure 3 The computing board 502 includes a gigabit Ethernet port and an M12-D interface for connecting to the ORIN NX processor. The computing board also includes an HDMI, a USB 3.0, and a MICRO USB interface for connecting to the ORIN NX processor. The ORIN NX processor is equipped with an SSD connected via a PCIe interface. The ORIN NX processor is powered by a 12V power supply and features an RTC clock, WDT, and LED.

[0052] The embodiment utilizes a high-performance computing board to achieve multi-source data analysis, which has stronger data processing capabilities, preliminary edge computing capabilities, can complete the judgment locally, and can also lay the hardware foundation for the subsequent introduction of artificial intelligence algorithms, facilitating subsequent upgrades.

[0053] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the invention. Therefore, the embodiments should be considered in all respects as exemplary and non-limiting, and the scope of the invention is defined by the appended claims rather than the foregoing description. Thus, it is intended that all variations falling within the meaning and scope of equivalents of the claims be included within the present invention.

[0054] Furthermore, it should be understood that although this specification describes embodiments, not every embodiment contains only one independent technical solution. This narrative style is merely for clarity. Those skilled in the art should consider the specification as a whole, and the technical solutions in each embodiment can also be appropriately combined to form other embodiments that can be understood by those skilled in the art.

Claims

1. A monitoring system of a rail transit train, characterized in that, include: The sensor includes a shaft temperature sensor and a vibration sensor, which are respectively installed on the traveling part and the traction motor to detect the temperature and vibration data of the corresponding installation parts. A pre-processor, installed at the bottom of the vehicle body, is connected to an axle temperature sensor and a vibration sensor, and is used to convert the analog data collected by the axle temperature sensor and the vibration sensor into digital signals; A switch board, which is connected to the front-end processor, is used for data interaction; A camera, which is connected to the switch board; A processing unit is connected to the switch board, the processing unit receives data acquired by the switch board, and outputs a judgment result; A storage board, connected to the switch board, is used to compress the collected data; A hard disk, which is connected to a storage board, is used to store data compressed by the storage board.

2. The monitoring system for rail transit trains according to claim 1, characterized in that: The processing unit is capable of receiving camera data from the switch board, and the processing unit is connected to a display device.

3. The monitoring system for rail transit trains according to claim 1, characterized in that: The cameras include a pantograph camera and an in-vehicle camera. The pantograph camera is mounted on the roof of the vehicle and is used to capture the pantograph status. The in-vehicle cameras are installed in the driver's cab and passenger compartment respectively and are used to monitor the situation in the driver's cab and passenger compartment.

4. The monitoring system for rail transit trains according to claim 1, characterized in that: The processing unit uses a CPU core board, which receives data from the switch board and outputs a judgment result.

5. A monitoring system for rail transit trains according to claim 1, characterized in that: The processing unit uses a computing board, which includes an NVIDIA ORIN NX processor. The computing board receives data acquired by the switch board and outputs a judgment result.

6. A monitoring system for rail transit trains according to claim 5, characterized in that: The computing board includes a gigabit Ethernet port and an M12-D interface connected to the ORIN NX processor. The computing board also includes an HDMI, a USB 3.0, and a Micro USB interface connected to the ORIN NX processor. The ORIN NX processor is equipped with an SSD connected via a PCIe interface. The ORIN NX processor is powered by a 12V power supply. The ORIN NX processor is equipped with an RTC clock, a WDT, and an LED.

7. The monitoring system for rail transit trains according to claim 1, characterized in that: The switch board is connected to the processing unit, camera, and front-end processor via an Ethernet port.

8. The monitoring system for rail transit trains according to claim 1, characterized in that: The preprocessor is connected to the shaft temperature sensor and the vibration sensor via an ADC port.

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