Intelligent safety monitoring system applied to high-speed motor train unit

Abstract

The invention discloses an intelligent safety monitoring system applied to a high-speed motor train unit, and relates to the technical field of train safety, the system comprises intelligent safety monitoring hosts, the number of which is the same as that of carriages in the high-speed motor train unit, and each intelligent safety monitoring host is connected with the corresponding intelligent safety monitoring host. The data acquisition module is used for acquiring data signals of corresponding objects respectively acquired by a plurality of signal acquisition devices deployed in a compartment where the intelligent safety monitoring host is located; for each object, determining whether the object is abnormal or not based on the data signal of the object; if the abnormal object exists, generating an early warning signal; the train-level monitoring equipment is deployed in the high-speed motor train unit and is used for acquiring a data signal set corresponding to each compartment; and determining a target object and a carriage where the target object is located from the data signal sets corresponding to the carriages. Uniform power supply, storage, diagnosis and communication modes are adopted. Compared with the prior art, the installation space is reduced, and network bandwidth resources are saved.

Description

Technical Field

[0001] The present application relates to the field of train safety technology, and in particular to an intelligent safety monitoring system applied to high-speed EMUs. Background Art

[0002] In order to ensure the operation of high-speed EMUs, multiple monitoring modules will be installed to monitor high-speed EMUs. For example, an axle temperature monitoring module and an instability monitoring module will be installed; during the operation of the high-speed EMU, the axle temperature monitoring module will collect and diagnose the temperature of the axle box bearing of the bogie, the gear temperature of the gearbox, the temperature of the motor drive end, the non-drive end, the stator, and the winding in real time; the instability monitoring module will collect and diagnose the lateral acceleration of the bogie, and the lateral, vertical, and longitudinal acceleration of the car body in real time. If the above parameters exceed the preset threshold range, the monitoring module will issue a warning or alarm signal, so that the high-speed EMU can automatically take measures (such as speed reduction) to ensure driving safety.

[0003] In the related art, each monitoring module installed in the high-speed EMU uses an independent host, which occupies a large amount of installation space and network bandwidth resources. Summary of the invention

[0004] In view of the above problems, the present application provides an intelligent safety monitoring system applied to high-speed train sets to achieve the purpose of reducing installation space and network bandwidth resources. The specific scheme is as follows:

[0005] The first aspect of the present application provides an intelligent safety monitoring system for high-speed train sets, comprising:

[0006] The number of intelligent safety monitoring hosts is the same as the number of carriages in the high-speed EMU, and each carriage is equipped with one intelligent safety monitoring host; the intelligent safety monitoring host is used to obtain data signals of corresponding objects respectively collected by multiple signal acquisition devices deployed in the carriage where the intelligent safety monitoring host is located; for each of the objects, it is determined whether the object is abnormal based on the data signal of the object; if there is an abnormal object, a warning signal is generated;

[0007] The train-level monitoring equipment deployed in the high-speed EMU is used to obtain the data signal sets corresponding to each of the carriages; determine the target object and the carriage where the target object is located from the data signal sets corresponding to each of the carriages; the target object does not conform to the working condition trend of objects of the same type as the target object in each of the carriages; the data signal set corresponding to the carriage includes the data signals respectively collected by the multiple signal acquisition devices obtained by the intelligent safety monitoring host deployed in the carriage.

[0008] In a possible implementation, the method further includes:

[0009] A third-party device that is communicatively connected to the train-level monitoring device, wherein the third-party device includes an automatic train protection system, an automatic train operation system, a train operation monitoring and recording device, an EMU driver control information analysis system, and an earthquake early warning device;

[0010] The train-level monitoring device determines the target object and the carriage where the target object is located from the data signal sets corresponding to each of the carriages, including:

[0011] Acquiring a data signal collected by the third-party device;

[0012] The data signals collected by the third-party device and the data signal sets corresponding to each of the carriages are input into a pre-built signal analysis model, and the target object and the carriage where the target object is located are obtained through the signal analysis model.

[0013] In a possible implementation, the method further includes:

[0014] The storage device communicatively connected to the train-level monitoring device is used to store the data signal sets corresponding to each of the carriages respectively obtained by the train-level monitoring device and the data signals collected by the third-party device.

[0015] In a possible implementation, the train-level monitoring device is also used to send the data signal sets corresponding to each of the carriages and the data signals collected by the third-party device to a data landing device, and the data landing device is deployed in a research institute.

[0016] In a possible implementation, the high-speed EMU includes two train-level monitoring devices, and the train-level monitoring devices are respectively deployed in the first car and the last car of the high-speed EMU except for the driver's cab.

[0017] In a possible implementation, the intelligent safety monitoring host includes at least two monitoring modules selected from the group consisting of a vehicle body stability and bogie imbalance monitoring module, a running gear monitoring module, a pyrotechnics monitoring module, a high-voltage insulation monitoring module, a pantograph video monitoring module, or a bogie video monitoring module;

[0018] Among them, the car body stability and bogie imbalance monitoring module is used to obtain the acceleration of the car body of the car, the acceleration of the undercarriage hoisting equipment and the acceleration of the bogie of the car; compare the acceleration of the car body with a preset car body threshold range to determine whether the car body is abnormal; compare the acceleration of the undercarriage hoisting equipment with a preset installation structure range to determine whether the undercarriage hoisting equipment is abnormal; compare the acceleration of the bogie with a preset bogie threshold range to determine whether the bogie is abnormal;

[0019] The running gear monitoring module is used to obtain the state data of the running gear; compare the state data with the preset running gear threshold range to determine whether there is an abnormality in the running gear;

[0020] The fire and smoke monitoring module is used to obtain the fire and smoke signal of the passenger compartment of the carriage and the temperature signal of each device deployed in the carriage; compare the fire and smoke signal with the preset fire and smoke threshold to determine whether there is an abnormality in the passenger compartment; for each of the devices, compare the temperature signal of the device with the preset temperature threshold to determine whether there is an abnormality in the device;

[0021] The high-voltage insulation monitoring module is used to obtain an electrical signal from a high-voltage device in contact with the pantograph of the carriage; compare the electrical signal with a preset high-voltage threshold to determine whether there is an abnormality in the high-voltage device;

[0022] The pantograph video monitoring module is used to obtain a video image of the pantograph on the roof of the carriage; and determine whether the pantograph has an abnormality based on the pantograph video image;

[0023] The bogie video monitoring module is used to obtain a video image of the bogie area under the carriage; and determine whether there is an abnormality in the bogie based on the video image of the bogie area.

[0024] In a possible implementation, the intelligent safety monitoring host further includes: an intelligent identification module, a grid-side power quality monitoring module, and at least one of a health management and a fault prediction module;

[0025] The intelligent recognition module is used to call the data acquisition device at the fault location of the abnormal object if there is an abnormal object in the carriage, so as to obtain the video image collected by the data acquisition device;

[0026] The grid-side power quality monitoring module is used to monitor the power quality of the overhead line power supply and the energy consumption of each load deployed in the carriage.

[0027] In a possible implementation, the method further includes:

[0028] A display screen provided on the high-speed train set;

[0029] The intelligent recognition module is also used to send the video image collected by the data collection device to the display screen.

[0030] In a possible implementation, the first external interface of the intelligent safety monitoring host is connected to the grid-side power quality monitoring module; and the second external interface of the intelligent safety monitoring host is connected to the high-voltage insulation monitoring module.

[0031] In a possible implementation, the vehicle body stability and bogie imbalance monitoring module, the running gear monitoring module, the smoke and fire monitoring module, the high-voltage insulation monitoring module, the pantograph video monitoring module, the bogie video monitoring module, the intelligent identification module and the grid-side power quality monitoring module are integrated into the intelligent safety monitoring host in the form of a board.

[0032] By means of the above technical scheme, the present application provides an intelligent safety monitoring system applied to high-speed EMUs, the system includes the same number of intelligent safety monitoring hosts as the number of carriages in the high-speed EMU, and each carriage is deployed with an intelligent safety monitoring host; the intelligent safety monitoring host is used to obtain the data signals of the corresponding objects respectively collected by multiple signal acquisition devices deployed in the carriage where the intelligent safety monitoring host is located; for each of the objects, it is determined whether the object is abnormal based on the data signal of the object; if there is an abnormal object, an early warning signal is generated; the train-level monitoring device deployed in the high-speed EMU is used to obtain the data signal set corresponding to each carriage respectively; from the data signal set corresponding to each carriage respectively, the target object and the carriage where the target object is located are determined. In the present application, for each carriage, the data signals collected by each signal acquisition device deployed in the carriage are transmitted to the intelligent safety monitoring host deployed in the carriage, and each data signal is monitored separately by the intelligent monitoring host. In the process of realizing each safety monitoring function, a unified power supply, storage, diagnosis and communication mode is adopted. Compared with the related art in which each monitoring module is powered, stored, diagnosed and communicated separately, the installation space is reduced and network bandwidth resources are saved. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] The above and other features, advantages and aspects of the embodiments of the present disclosure will become more apparent with reference to the following detailed description in conjunction with the accompanying drawings. Throughout the accompanying drawings, the same or similar reference numerals represent the same or similar elements. It should be understood that the drawings are schematic and the originals and elements are not necessarily drawn to scale.

[0034] Figure 1 A schematic diagram of an intelligent safety monitoring system for high-speed trains provided in an embodiment of the present application;

[0035] Figure 2 A schematic diagram of an optional hardware structure of the train-level monitoring device provided in this application;

[0036] Figure 3 A schematic diagram of the structure of the data landing device provided for this application;

[0037] Figure 4 A schematic diagram of the structure of the intelligent security monitoring host provided in the embodiment of the present application;

[0038] Figure 5 A schematic diagram of the connection relationship between the signal acquisition device and the intelligent security monitoring host provided in the embodiment of the present application;

[0039] Figure 6 A schematic diagram of the connection relationship between the intelligent safety monitoring host 100 provided in this application and the train network;

[0040] Figure 7 An architectural diagram of another implementation method of an intelligent safety monitoring system applied to a high-speed EMU provided in an embodiment of the present application. DETAILED DESCRIPTION

[0041] The following describes the embodiments of the present application in conjunction with the drawings in the embodiments of the present application. The terms used in the implementation method section of the present application are only used to explain the specific embodiments of the present application, and are not intended to limit the present application.

[0042] The embodiments of the present application are described below in conjunction with the accompanying drawings. Those skilled in the art will appreciate that, with the development of technology and the emergence of new scenarios, the technical solutions provided in the embodiments of the present application are also applicable to similar technical problems.

[0043] The terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and need not be used to describe a specific order or sequential order. It should be understood that the terms used in this way can be interchangeable under appropriate circumstances, which is only to describe the distinction mode adopted by the objects of the same attributes when describing in the embodiments of the present application. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, so that the process, method, system, product or equipment comprising a series of units need not be limited to those units, but may include other units that are not clearly listed or inherent to these processes, methods, products or equipment.

[0044] In the related art, each monitoring module set in the high-speed EMU operates independently; different monitoring modules have different power supply modules; and different monitoring modules have different train networks. Since each monitoring module is powered independently, a large space is required in the process of deploying each monitoring module; since the train networks of different monitoring modules are different, a large amount of network bandwidth resources will be occupied in the process of transmitting signals simultaneously by different monitoring modules.

[0045] Based on this, the present application provides an intelligent safety monitoring system for high-speed EMUs, which integrates each monitoring module into an intelligent safety monitoring host in the form of a board. Each monitoring module is powered by the power supply module of the intelligent safety monitoring host; the intelligent safety monitoring host transmits the analysis results of each monitoring module through the train network; in summary, the power supply modules of each monitoring module in the present application are the same, and the train networks of each monitoring module are the same, so the occupied space is reduced and network bandwidth resources are saved.

[0046] like Figure 1 , which is a schematic diagram of an intelligent safety monitoring system for high-speed EMUs provided in an embodiment of the present application.

[0047] The intelligent safety monitoring system includes a set number of intelligent safety monitoring hosts 100 and train-level monitoring devices 200 .

[0048] The set number is the total number of carriages included in the high-speed train set. Each of the carriages is equipped with an intelligent safety monitoring host.

[0049] Exemplarily, the intelligent security monitoring host can be a mobile phone, a tablet computer, a wearable device, a vehicle-mounted device, an augmented reality (AR) / virtual reality (VR) device, a laptop computer, an ultra-mobile personal computer (UMPC), a netbook, a personal digital assistant (PDA), etc., and the embodiments of the present application do not impose any restrictions on this.

[0050] Exemplarily, each carriage is also provided with a plurality of signal acquisition devices 300; for each carriage, the plurality of signal acquisition devices deployed in the carriage are connected to the intelligent safety monitoring host deployed in the carriage.

[0051] Exemplarily, each carriage is equipped with multiple objects, including but not limited to: pantograph, bogie, axle box bearing, gear box, converter, battery box, fan, transformer. In order to detect multiple objects, corresponding signal acquisition equipment needs to be set.

[0052] Exemplarily, the signal acquisition device provided for the bogie is an acceleration sensor, through which the acceleration of the vehicle body in which the carriage is located can be measured in the lateral, longitudinal and vertical directions.

[0053] Exemplarily, the signal acquisition device provided for the axle box bearing is an axle box bearing temperature and vibration composite sensor, through which the temperature signal and vibration signal of the axle box bearing can be acquired.

[0054] Exemplarily, the signal acquisition device provided for the gearbox is a gearbox temperature and vibration composite sensor, through which the temperature signal and vibration signal of the gearbox can be acquired.

[0055] Exemplarily, the signal acquisition device provided for the pantograph includes a camera (the number of cameras may be one or more), which is used to acquire video images of the pantograph so as to subsequently monitor the operating status of the pantograph.

[0056] Exemplarily, the signal acquisition device provided for the bogie is a camera (the number of cameras may be one or more), and the video image of the bogie is acquired by the camera.

[0057] Exemplarily, the signal acquisition device provided for the converter is a camera (the number of cameras may be one or more), which is used to collect video images inside the converter so as to subsequently monitor whether sparks occur during the operation of the converter.

[0058] Exemplarily, the signal acquisition device provided for the battery box is a camera (the number of cameras may be one or more), which is used to collect video images in the inverter so as to subsequently monitor whether sparks occur during the operation of the battery box.

[0059] Exemplarily, the signal acquisition device provided for the transformer is an acceleration sensor, and the vibration acceleration of the transformer is acquired by the acceleration sensor.

[0060] Exemplarily, the signal acquisition device provided for the wind turbine is an acceleration sensor, and the vibration acceleration of the wind turbine is acquired by the acceleration sensor.

[0061] In an optional implementation, there are many signal acquisition devices deployed on the bottom of the carriage. If the signal acquisition devices are directly connected to the intelligent safety monitoring host deployed on the carriage, a large number of interfaces need to be set up on the intelligent safety monitoring host, and the intelligent safety monitoring host is deployed inside the carriage. When the signal acquisition devices deployed on the bottom of the carriage are connected to the intelligent safety monitoring host, more and longer cables are required, making the wiring more complicated. Based on this, the embodiment of the present application connects the signal acquisition devices deployed on the bottom of the carriage to the preprocessor; the preprocessor is also deployed on the bottom of the carriage; after the preprocessor obtains the data signals collected by the multiple signal acquisition devices deployed on the bottom of the carriage, the data signals collected by the multiple signal acquisition devices are uniformly sent to the intelligent safety monitoring host. In this way, the interface of the intelligent safety monitoring host can be saved and the number of cables that need to be laid can be reduced, thereby reducing the overall weight of the system and realizing the lightweight design of the train safety monitoring system.

[0062] Exemplarily, the signal acquisition device connected to the preprocessor is a signal acquisition device for collecting temperature. Exemplarily, the preprocessor is also used to compare the temperature signal collected by the signal acquisition device with a preset temperature threshold to obtain an early warning result of whether the temperature of the object is abnormal, and send the early warning result to the intelligent safety monitoring host.

[0063] It can be understood that the intelligent safety monitoring host in each carriage is used to obtain the data signals of the corresponding objects collected by multiple signal acquisition devices deployed in the carriage where the intelligent safety monitoring host is located; for each of the objects, it is determined whether the object has any abnormality based on the data signal of the object; if there is an abnormal object, a warning signal is generated.

[0064] It is understandable that each carriage is equipped with an intelligent safety monitoring host; if the intelligent safety monitoring host of a carriage sends out an early warning signal, it can prompt the maintenance personnel to carry out maintenance on the objects in that carriage.

[0065] It can be understood that the high-speed EMU is also equipped with train-level monitoring equipment for obtaining data signal sets corresponding to each carriage; from the data signal sets corresponding to each carriage, the target object and the carriage where the target object is located are determined; the target object does not conform to the working condition trend of objects of the same type as the target object in each carriage; the data signal set corresponding to the carriage includes data signals collected by multiple signal acquisition devices respectively obtained by the intelligent safety monitoring host deployed in the carriage.

[0066] Exemplarily, for each object AA, a working status trend can be plotted based on the data signal of the object AA deployed in each car; based on the working status trends of each car for the object AA, a target object AA corresponding to a working status trend that is significantly different from other working status trends is determined.

[0067] The following example illustrates "the target object does not conform to the working condition trend of the objects of the same type as the target object in each carriage". Assuming that the target object is a target bogie, each carriage has a bogie, the working condition trend of the bogies in each carriage can be analyzed to determine a target bogie that has a different working condition trend from other bogies.

[0068] It is understandable that the intelligent safety monitoring host may not generate an early warning signal for the target object, but because the working status of the target object is different from that of other objects, the target object is the focus of maintenance to achieve the purpose of early detection and early treatment of problems.

[0069] Exemplarily, the intelligent safety monitoring host of each carriage is connected to the train-level monitoring equipment through the train network.

[0070] Exemplarily, the high-speed train set includes two train-level monitoring devices, which are respectively deployed in the first carriage and the last carriage of the high-speed train set except for the driver's cab. The two train-level monitoring devices have a mutual backup function.

[0071] Next describe Figure 1 The product form of the medium train-level monitoring equipment;

[0072] Figure 2 A schematic diagram of an optional hardware structure of a train-level monitoring device is shown.

[0073] refer to Figure 2 As shown, the train-level monitoring device may include a radio frequency unit 110, a memory 120, an input unit 130, a display unit 140, a camera 150 (optional), an audio circuit 160 (optional), a speaker 161 (optional), a microphone 162 (optional), an earphone jack 163 (optional), a processor 170, an external interface 180, a power supply 190 and other components. Those skilled in the art will appreciate that Figure 2 It is merely an example of a train-level monitoring device and does not constitute a limitation on the train-level monitoring device. The device may include more or fewer components than shown in the figure, or a combination of certain components, or different components.

[0074] The input unit 130 can be used to receive input digital or character information, and generate key signal input related to the user settings and function control of the train-level monitoring device. Specifically, the input unit 130 may include a touch screen 131 (optional) and / or other input devices 132. The touch screen 131 can collect the user's touch operations on or near it (such as the user's operation on or near the touch screen using any suitable object such as fingers, joints, stylus, etc.), and drive the corresponding connection device according to a pre-set program. The touch screen can detect the user's touch action on the touch screen, convert the touch action into a touch signal and send it to the processor 170, and can receive and execute the command sent by the processor 170; the touch signal at least includes contact point coordinate information. The touch screen 131 can provide an input interface and an output interface between the train-level monitoring device and the user. In addition, the touch screen can be implemented using multiple types such as resistive, capacitive, infrared, and surface acoustic waves. In addition to the touch screen 131, the input unit 130 can also include other input devices. Specifically, other input devices 132 may include, but are not limited to, one or more of a physical keyboard, function keys (such as a volume control key, a switch key, etc.), a trackball, a mouse, a joystick, and the like.

[0075] Among them, the input device 132 can receive input data and the like.

[0076] The display unit 140 may be used to display information input by a user or provided to a user, various menus of a train-level monitoring device, an interactive interface, a file display, and / or the playback of any multimedia file. In an embodiment of the present application, the display unit 140 may be used to display an interface, processing results, and the like.

[0077] The memory 120 can be used to store instructions and data. The memory 120 can mainly include an instruction storage area and a data storage area. The data storage area can store various data, such as multimedia files, texts, etc.; the instruction storage area can store software units such as operating systems, applications, instructions required for at least one function, or their subsets and extensions. It can also include a non-volatile random access memory; provide the processor 170 with hardware, software and data resources including management of computing and processing equipment, and support control software and applications. It is also used for the storage of multimedia files, and the storage of running programs and applications.

[0078] The processor 170 is the control center of the train-level monitoring device. It uses various interfaces and lines to connect various parts of the entire train-level monitoring device. By running or executing instructions stored in the memory 120 and calling data stored in the memory 120, it executes various functions of the train-level monitoring device and processes data, thereby controlling the train-level monitoring device as a whole. Optionally, the processor 170 may include one or more processing units; preferably, the processor 170 may integrate an application processor and a modem processor, wherein the application processor mainly processes the operating system, user interface and application program, and the modem processor mainly processes wireless communication. It is understandable that the above-mentioned modem processor may not be integrated into the processor 170. In some embodiments, the processor, memory, can be implemented on a single chip, and in some embodiments, they can also be implemented separately on independent chips. The processor 170 can also be used to generate corresponding operation control signals, send them to the corresponding components of the computing and processing equipment, read and process data in the software, especially read and process data and programs in the memory 120, so that each functional module therein performs corresponding functions, thereby controlling the corresponding components to act according to the requirements of the instructions.

[0079] Among them, the memory 120 can be used to store software codes related to the method of obtaining the data signal sets corresponding to each of the carriages; determining the target object and the carriage where the target object is located from the data signal sets corresponding to each of the carriages. The processor 170 can execute the steps of obtaining the data signal sets corresponding to each of the carriages; determining the target object and the carriage where the target object is located from the data signal sets corresponding to each of the carriages, and can also dispatch other units (such as the above-mentioned input unit 130 and display unit 140) to realize corresponding functions.

[0080] The radio frequency unit 110 (optional) can be used for receiving and sending information or receiving and sending signals during a call, for example, after receiving the downlink information of the base station, it is sent to the processor 170 for processing; in addition, the designed uplink data is sent to the base station. Generally, the RF circuit includes but is not limited to an antenna, at least one amplifier, a transceiver, a coupler, a low noise amplifier (Low Noise Amplifier, LNA), a duplexer, etc. In addition, the radio frequency unit 110 can also communicate with network devices and other devices through wireless communication. The wireless communication can use any communication standard or protocol, including but not limited to Global System of Mobile communication (Global System of Mobile communication, GSM), General Packet Radio Service (General Packet Radio Service, GPRS), Code Division Multiple Access (Code Division Multiple Access, CDMA), Wideband Code Division Multiple Access (Wideband Code Division Multiple Access, WCDMA), Long Term Evolution (Long Term Evolution, LTE), email, Short Messaging Service (SMS), etc.

[0081] In this embodiment of the present application, the RF unit 110 can send data to the server 200 and receive processing results sent by the server 200.

[0082] It should be understood that the radio frequency unit 110 is optional and can be replaced by other communication interfaces, such as a network port.

[0083] The train-level monitoring equipment also includes a power supply 190 (such as a battery) for supplying power to each component. Preferably, the power supply can be logically connected to the processor 170 through a power management system, thereby implementing functions such as charging, discharging, and power consumption management through the power management system.

[0084] The train-level monitoring device also includes an external interface 180, which can be a standard Micro USB interface or a multi-pin connector, which can be used to connect the train-level monitoring device to communicate with other devices, and can also be used to connect a charger to charge the train-level monitoring device.

[0085] Although not shown, the train-level monitoring equipment may also include a flashlight, a wireless fidelity (WiFi) module, a Bluetooth module, sensors with different functions, etc., which will not be described in detail here. Part or all of the methods described below may be applied to Figure 2 In the train-level monitoring equipment shown.

[0086] The present invention adopts the architecture of fusion intelligent safety monitoring host + independent train-level monitoring equipment, realizing the integration of running gear temperature and vibration monitoring function, bogie lateral instability monitoring function, car body comfort monitoring function, fire alarm function, pantograph and bogie video monitoring function, electrical insulation detection function, power quality diagnosis, DC110V leakage current diagnosis and other functions. The original scattered and independent monitoring modules are integrated at the system level in a board-type solution, using a unified diagnosis, power supply, storage, and communication mode, equipped with monitoring sensors and pre-processors, to achieve the goals of miniaturization, integration, and lightweight of the equipment.

[0087] Through train-level monitoring equipment, multi-system and multi-disciplinary integrated diagnosis can be achieved, safety information of all systems of high-speed EMUs can be stored, the accuracy of fault diagnosis can be improved, the diagnosis dimensions can be enriched, and the operation safety of EMUs can be improved.

[0088] Exemplarily, the train-level monitoring equipment is also used to send the data signal sets corresponding to each of the carriages and the data signals collected by the third-party equipment to the data landing equipment, and the data landing equipment is deployed in the research institute.

[0089] This application realizes the classification and grading bidirectional transmission function of high-speed EMU safety data through data landing equipment.

[0090] Exemplarily, the data signal sets corresponding to each carriage and the data signals collected by the third-party equipment can be sorted according to the importance level; and each data signal can be sent to the data landing device in sequence from high to low importance level.

[0091] Next, the product form of the data landing device is described.

[0092] Figure 3 A structural diagram of a data landing device is provided, such as Figure 3 As shown, the data landing device includes a bus 201, a processor 202, a communication interface 203 and a memory 204. The processor 202, the memory 204 and the communication interface 203 communicate with each other through the bus 201.

[0093] The bus 201 may be a peripheral component interconnect (PCI) bus or an extended industry standard architecture (EISA) bus. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 3 Only one thick line is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0094] The processor 202 may be any one or more of a central processing unit (CPU), a graphics processing unit (GPU), a microprocessor (MP), or a digital signal processor (DSP).

[0095] The memory 204 may include a volatile memory, such as a random access memory (RAM). The memory 204 may also include a non-volatile memory, such as a read-only memory (ROM), a flash memory, a hard disk drive (HDD), or a solid state drive (SSD).

[0096] In an optional implementation, the intelligent safety monitoring system applied to high-speed EMUs also includes: a storage device communicatively connected to the train-level monitoring equipment, for storing the data signal sets corresponding to each carriage obtained by the train-level monitoring equipment and the data signals collected by third-party equipment.

[0097] like Figure 4 , which is a schematic diagram of the structure of the intelligent security monitoring host provided in an embodiment of the present application.

[0098] The intelligent safety monitoring host includes at least two monitoring modules among a vehicle body stability and bogie imbalance monitoring module 401, a running gear monitoring module 402, a smoke and fire monitoring module 403, a high-voltage insulation monitoring module 404, a pantograph video monitoring module 405 or a bogie video monitoring module 406. In an optional implementation, the intelligent safety monitoring host also includes at least one module among an intelligent identification module 407 and a grid-side power quality monitoring module 408.

[0099] Exemplarily, each monitoring module is connected to at least one signal acquisition device, so that a data signal of a corresponding object can be acquired from the signal acquisition device, so as to diagnose the object based on the data signal of the object.

[0100] The car body stability and bogie imbalance monitoring module 401 is used to obtain the acceleration of the car body of the car, the acceleration of the undercarriage hoisting equipment and the acceleration of the bogie of the car; compare the acceleration of the car body with a preset car body threshold range to determine whether the car body has an abnormality; compare the acceleration of the undercarriage hoisting equipment with a preset installation structure range to determine whether the undercarriage hoisting equipment has an abnormality; compare the acceleration of the bogie with a preset bogie threshold range to determine whether the bogie has an abnormality.

[0101] Exemplarily, the signal acquisition device connected to the car body stability and bogie imbalance monitoring module can be an acceleration sensor for collecting the acceleration of the car body and the acceleration of the bogie; the car body stability and bogie imbalance monitoring module can perform acceleration diagnosis on the acceleration of the car body of the high-speed EMU, so as to evaluate the stability of the car body and the comfort of the high-speed EMU. Specifically, the acceleration may include the lateral, vertical and longitudinal acceleration of the car body. The car body stability and bogie imbalance monitoring module can diagnose the acceleration of the bogie (lateral acceleration of the bogie).

[0102] Exemplarily, the preset bogie threshold range may be determined based on actual conditions and is not limited here.

[0103] The running part monitoring module 402 is used to obtain the state data of the running part; and compare the state data with a preset running part threshold range to determine whether there is any abnormality in the running part.

[0104] Exemplarily, the signal acquisition device connected to the running gear monitoring module may be a temperature sensor, and the temperature sensor may collect the temperature signal of the running gear. It should be noted that the running gear may include a bogie, an axle box, a spring damping device, and a basic brake device. Therefore, the temperature signal of the running gear may include the temperature signals of the axle box bearing, the gear of the gear box, and the driving end, non-driving end, and stator of the motor. The running gear monitoring module may perform running gear temperature diagnosis based on the temperature signal of the running gear, such as performing axle box temperature diagnosis to evaluate the state of the running gear.

[0105] Exemplarily, the preset running part threshold range may be determined based on actual conditions and is not limited here.

[0106] The fire and smoke monitoring module 403 is used to obtain the fire and smoke signals in the passenger compartment of the carriage and the temperature signals of various devices deployed in the carriage; compare the fire and smoke signals with the preset fire and smoke thresholds to determine whether there is an abnormality in the passenger compartment; for each of the devices, compare the temperature signal of the device with the preset temperature threshold to determine whether there is an abnormality in the device.

[0107] Exemplarily, the signal acquisition device connected to the fire and smoke monitoring module may include a fire and smoke sensor for collecting fire and smoke signals and a temperature sensor for collecting temperature signals. The fire and smoke sensor and the temperature sensor may be arranged inside the carriage, and may be arranged at a key position related to the safety of train operation, and the fire and smoke monitoring module may perform diagnosis based on the fire and fire signals and the temperature signals, and monitor the fire, smoke and temperature in the environment of the passenger compartment of the carriage.

[0108] Exemplarily, the preset fireworks threshold may be determined based on actual conditions, which is not limited here.

[0109] Exemplarily, the preset temperature threshold may be determined based on actual conditions and is not limited here.

[0110] Exemplarily, the various devices include but are not limited to devices deployed in a vehicle compartment that require temperature monitoring.

[0111] The high-voltage insulation monitoring module 404 is used to obtain the electrical signal of the high-voltage equipment in contact with the pantograph of the carriage; compare the electrical signal with a preset high-voltage threshold to determine whether there is any abnormality in the high-voltage equipment.

[0112] Exemplarily, the signal acquisition device connected to the high-voltage insulation monitoring module can be a voltage sensor or a current sensor for detecting the electrical signal of the high-voltage equipment. The voltage sensor or the current sensor can perform insulation status diagnosis of the high-voltage system according to the electrical signal of the high-voltage equipment, and realize the monitoring of the insulation status of the high-voltage equipment, such as the transformer and each device in the high-voltage box.

[0113] Exemplarily, the preset high-voltage threshold may be determined based on actual conditions and is not limited here.

[0114] The pantograph video monitoring module 405 is used to obtain a video image of the pantograph on the roof of the carriage; and determine whether there is any abnormality in the pantograph based on the video image of the pantograph.

[0115] Exemplarily, the signal acquisition device connected to the pantograph video monitoring module may be an image acquisition device for acquiring a video image of the pantograph. The image acquisition device may be a camera, and the pantograph video monitoring module may perform diagnosis based on the pantograph video image to monitor the working state of the pantograph, such as monitoring whether the pantograph has abnormal displacement, deformation or defects.

[0116] In one possible implementation, the pantograph video monitoring module may include an image recognition module and a diagnosis module, wherein the image recognition module is used to recognize the video image of the pantograph to obtain image recognition information, and the diagnosis module is used to diagnose the working status of the pantograph according to the image recognition information.

[0117] The bogie video monitoring module 406 is used to obtain a video image of the bogie area under the carriage; and determine whether there is any abnormality in the bogie based on the video image of the bogie area.

[0118] Exemplarily, the signal acquisition device connected to the bogie video monitoring module may be an image acquisition device for acquiring a video image of the bogie. The bogie video monitoring module may perform a diagnosis based on the video image of the bogie, and the video image of the bogie may include an infrared image of the bogie to monitor the working state of the bogie, such as monitoring whether the bogie has abnormal displacement or defects.

[0119] The intelligent recognition module 407 is used to retrieve the data acquisition device at the fault location of the abnormal object if there is an abnormal object in the carriage, so as to obtain the video image collected by the data acquisition device.

[0120] In an optional implementation, the intelligent safety monitoring system applied to a high-speed EMU further includes: a display screen arranged on the high-speed EMU. The intelligent recognition module is also used to send the video image collected by the data acquisition device to the display screen. Exemplarily, the high-speed EMU is provided with a display screen.

[0121] For example, if the abnormal object in the carriage is the passenger compartment, and the location where the fault occurs in the passenger compartment is a suspected fire location, the data acquisition device (camera) at the suspected fire location can be called to collect the video image of the suspected fire location. The video image can be sent to the display screen. In this way, the maintenance personnel can determine whether a fire has actually occurred through the display screen. If no fire has occurred, there is no need to go to the suspected fire location for investigation, thereby saving the maintenance personnel's investigation time.

[0122] The grid-side power quality monitoring module 408 is used to monitor the power quality of the overhead line power supply and the energy consumption of each load deployed in the carriage.

[0123] In an optional implementation, the first external interface of the intelligent safety monitoring host is connected to the grid-side power quality monitoring module; and the second external interface of the intelligent safety monitoring host is connected to the high-voltage insulation monitoring module.

[0124] Exemplarily, the intelligent security monitoring host may include multiple external interfaces to improve the scalability of the intelligent security monitoring host.

[0125] In an optional implementation, the intelligent safety monitoring host further includes a signal output module 409, which is used to input the warning signal to the train network. The signal output module is also used to transmit the data signal set to the train-level monitoring device through the train network.

[0126] Figure 4 This is only an example and does not limit the connection method between the signal acquisition device and the monitoring module. It is understandable that some signal acquisition devices are directly connected to the monitoring module in the intelligent safety monitoring host; some signal acquisition devices are connected to the monitoring module in the intelligent safety monitoring host through a preprocessor. Figure 5 Provide explanation.

[0127] like Figure 5 , which is a schematic diagram of the connection relationship between the signal acquisition device and the intelligent security monitoring host provided in an embodiment of the present application.

[0128] like Figure 5 As shown, the intelligent safety monitoring host 100 can be connected to one or more signal acquisition devices through a preprocessor 501; the intelligent safety monitoring host 100 can be directly connected to one or more signal acquisition devices through cables. Compared with the solution in which each signal acquisition device transmits the collected data signal to the intelligent safety monitoring host 100 through cables, a preprocessor is arranged between the signal acquisition device and the intelligent safety monitoring host 100, and the preprocessor uniformly transmits the data signals collected by each signal acquisition device connected thereto to the intelligent safety monitoring host 100, which reduces the number of cables that need to be laid, thereby reducing the overall weight of the system and realizing the lightweight design of the train safety monitoring system.

[0129] The present application provides an intelligent safety monitoring system for high-speed EMUs, which includes the same number of intelligent safety monitoring hosts as the number of carriages in the high-speed EMU, and each carriage is equipped with an intelligent safety monitoring host; the intelligent safety monitoring host is used to obtain data signals of corresponding objects respectively collected by multiple signal acquisition devices deployed in the carriage where the intelligent safety monitoring host is located; for each of the objects, it is determined whether the object is abnormal based on the data signal of the object; if there is an abnormal object, an early warning signal is generated; the train-level monitoring device deployed in the high-speed EMU is used to obtain the data signal set corresponding to each carriage; from the data signal set corresponding to each carriage, the target object and the carriage where the target object is located are determined. In the present application, for each carriage, the data signals collected by each signal acquisition device deployed in the carriage are transmitted to the intelligent safety monitoring host deployed in the carriage, and each data signal is monitored separately by the intelligent monitoring host. That is, in the process of realizing each safety monitoring function, a unified power supply, storage, diagnosis and communication mode is adopted. Compared with the power supply, storage, diagnosis and communication of each monitoring module in the related art, the installation space is reduced and the network bandwidth resources are saved.

[0130] In an optional implementation, the vehicle body stability and bogie imbalance monitoring module, the running gear monitoring module, the pyrotechnics monitoring module, the high-voltage insulation monitoring module, the pantograph video monitoring module, the bogie video monitoring module, the intelligent identification module and the grid-side power quality monitoring module are integrated into the intelligent safety monitoring host in the form of boards. A unified power supply module supplies power to each board through the backplane, and the data collected by the received signal acquisition equipment is uniformly stored in a memory for unified data diagnosis, and a signal transmission unit sends each diagnosis result and warning signal to the train network through a unified protocol content. In other words, in the process of realizing each safety monitoring function, a unified power supply, storage, diagnosis and communication mode is adopted.

[0131] like Figure 6 FIG. 1 is a schematic diagram of the connection relationship between the intelligent safety monitoring host 100 provided in the present application and the train network. Figure 6 As shown, in some embodiments provided in the present application, the train network may include a master network and a slave network.

[0132] Based on the above, the process of the intelligent safety monitoring host 100 outputting a warning signal through the train network may include: the intelligent safety monitoring host 100 outputting a warning signal through the main network; when the main network cannot transmit the warning signal, the intelligent safety monitoring host 100 outputs a warning signal through the slave network.

[0133] The present application realizes the redundancy of the train network through the main network and the slave network. In the event of a failure in one of the network lines or a communication failure between the intelligent safety monitoring host 100 and the network line, the warning signal to be output by the intelligent safety monitoring host 100 can be transmitted by another network, thereby improving the reliability of the train safety monitoring system.

[0134] like Figure 7 As shown, it is an architecture diagram of another implementation method of an intelligent safety monitoring system applied to a high-speed EMU provided in an embodiment of the present application.

[0135] like Figure 7As shown, the intelligent safety monitoring system also includes: a third-party device 701 that is communicatively connected to the train-level monitoring device, and the third-party device includes a train automatic protection system (ATP, Automatic Train Protection), a train automatic operation system (ATO, Automatic Train Operation), a train operation monitoring and recording device (LKJ, Train Operation Monitoring and Recording Device), an EMU engineer operation analysis system (EOAS, EMU Engineer Operation Analysis System) and an earthquake early warning device.

[0136] ATP is mainly responsible for monitoring the safe operation of high-speed EMUs, including axle temperature monitoring and instability monitoring. It can collect the axle box bearing temperature of the bogie and the gearbox gear temperature in real time, and issue a warning or alarm signal when the parameter exceeds the preset threshold, prompting the vehicle to automatically implement measures such as speed reduction to ensure driving safety.

[0137] ATO is responsible for the automatic driving of high-speed EMUs, including automatic starting, acceleration, braking and parking. Under the framework of the intelligent safety monitoring system, ATO works together with the ATP system to ensure that high-speed EMUs operate automatically under safe conditions.

[0138] LKJ monitors the operating status of high-speed EMUs and records key data for subsequent analysis and fault diagnosis.

[0139] EOAS classifies and grades the safety data of high-speed EMUs for bidirectional transmission. EOAS can analyze the driver's operating behavior and use the relevant information to improve the safety and operating efficiency of high-speed EMUs.

[0140] Earthquake early warning is used to receive earthquake signals from earthquake monitoring equipment installed on the ground.

[0141] Correspondingly, the train-level monitoring device executes the steps of determining the target object and the carriage where the target object is located from the data signal sets corresponding to each of the carriages, including the following steps A1 to A2.

[0142] Step A1: Acquire the data signal collected by the third-party device;

[0143] Step A2: input the data signal collected by the third-party device and the data signal set corresponding to each of the carriages into a pre-built signal analysis model, and obtain the target object and the carriage where the target object is located through the signal analysis model.

[0144] Exemplarily, the signal analysis model is obtained by training by taking the sample data signals collected by the third-party equipment and the sample data signal sets corresponding to each car as input, and taking the sample objects and the cars where the sample objects are located as training targets.

[0145] The sample data signal collected by the third-party device is the data signal collected by the third-party device in the historical time; the sample data signal set corresponding to each carriage is the data signal set corresponding to each carriage in the historical time. When the third-party device collects the sample data signal and each carriage corresponds to the sample data signal set, the target object with the actual abnormality is called the sample object.

[0146] It is understandable that for each object AA, the working state trend can be plotted based on the data signal of the object AA deployed in each car; based on the working state trend of each car for the object AA, the target object AA corresponding to the working state trend that is obviously different from other working state trends is determined. It is understandable that although the working state trend of the target object AA is obviously different from that of other objects AA, it is possible that there is a problem with the driver's operating behavior, resulting in the working state trend of the target object AA being obviously different from that of other objects AA; combined with the data signal obtained by the third-party device, it can be ruled out that the working state trend of the target object AA is obviously different from that of other objects AA due to the driver's operating behavior, so that the target object output by the signal analysis model is more accurate.

[0147] The process of training the signal analysis model involves at least one of the techniques in machine learning, such as artificial neural network, belief network, reinforcement learning, transfer learning, inductive learning, and method-based learning.

[0148] Exemplarily, the signal analysis model may be any one of a neural network model, a logistic regression model, a linear regression model, a support vector machine (SVM), an Adaboost, an XGboost, and a Transformer-Encoder model.

[0149] Exemplarily, the neural network model can be any one of a recurrent neural network-based model, a convolutional neural network-based model, and a Transformer-encoder-based classification model.

[0150] Exemplarily, the signal analysis model may be a deep hybrid model of a recurrent neural network-based model, a convolutional neural network-based model, and a Transformer-encoder-based classification model.

[0151] Exemplarily, the signal analysis model can be any one of an attention-based deep model, a memory network-based deep model, and a deep learning-based short text classification model.

[0152] The short text classification model based on deep learning is a recurrent neural network (RNN) or a convolutional neural network (CNN) or a variant based on a recurrent neural network or a convolutional neural network.

[0153] For example, some simple domain adaptation can be performed on the pre-trained model to obtain a signal analysis model.

[0154] Exemplarily, “simple domain adaptation” includes but is not limited to re-pre-training an already pre-trained model using large-scale unsupervised domain corpus, and / or compressing an already pre-trained model by model distillation.

[0155] Exemplarily, the signal analysis model can be subjected to supervised learning or semi-supervised learning. Semi-supervised learning is a learning method that combines supervised learning with unsupervised learning. Semi-supervised learning uses a large amount of unlabeled data and labeled data to perform pattern recognition.

[0156] Exemplarily, the train-level monitoring device may transmit the acquired data signal to the data landing device 702 .

[0157] It should also be noted that the device embodiments described above are merely schematic, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed over multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. In addition, in the drawings of the device embodiments provided by the present application, the connection relationship between the modules indicates that there is a communication connection between them, which may be specifically implemented as one or more communication buses or signal lines.

[0158] Through the description of the above implementation mode, the technicians in the field can clearly understand that the present application can be implemented by means of software plus necessary general hardware, and of course, it can also be implemented by special hardware including special integrated circuits, special CPUs, special memories, special components, etc. In general, all functions completed by computer programs can be easily implemented by corresponding hardware, and the specific hardware structure used to implement the same function can also be various, such as analog circuits, digital circuits or special circuits. However, for the present application, software program implementation is a better implementation mode in more cases. Based on such an understanding, the technical solution of the present application is essentially or the part that contributes to the prior art can be embodied in the form of a software product, which is stored in a readable storage medium, such as a computer floppy disk, a U disk, a mobile hard disk, a ROM, a RAM, a disk or an optical disk, etc., including a number of instructions to enable a computer device (which can be a personal computer, a training device, or a network device, etc.) to execute the methods described in each embodiment of the present application.

[0159] In the above embodiments, all or part of the embodiments may be implemented by software, hardware, firmware or any combination thereof. When implemented by software, all or part of the embodiments may be implemented in the form of a computer program product.

Claims

1. An intelligent safety monitoring system for high-speed trains, characterized in that: include: The same number of intelligent safety monitoring hosts as the number of carriages in the high-speed EMU, with one intelligent safety monitoring host being deployed in each carriage; The intelligent safety monitoring host is used to obtain data signals of corresponding objects respectively collected by multiple signal collection devices deployed in the carriage where the intelligent safety monitoring host is located; For each of the objects, determining whether the object is abnormal based on the data signal of the object; If there are abnormal objects, an early warning signal is generated; The train-level monitoring equipment deployed on the high-speed EMU is used to obtain the data signal sets corresponding to each of the carriages; and determine the target object and the carriage where the target object is located from the data signal sets corresponding to each of the carriages; The target object does not conform to the working condition trend of objects of the same type as the target object in each of the carriages; the data signal set corresponding to the carriage includes data signals collected respectively by the multiple signal acquisition devices acquired by the intelligent safety monitoring host deployed in the carriage.

2. The intelligent safety monitoring system for high-speed train sets according to claim 1 is characterized in that: Also includes: A third-party device that is communicatively connected to the train-level monitoring device, wherein the third-party device includes an automatic train protection system, an automatic train operation system, a train operation monitoring and recording device, an EMU driver control information analysis system, and an earthquake early warning device; The train-level monitoring device determines the target object and the carriage where the target object is located from the data signal sets corresponding to each of the carriages, including: Acquiring a data signal collected by the third-party device; The data signals collected by the third-party device and the data signal sets corresponding to each of the carriages are input into a pre-built signal analysis model, and the target object and the carriage where the target object is located are obtained through the signal analysis model.

3. The intelligent safety monitoring system for high-speed train sets according to claim 2 is characterized in that: Also includes: The storage device communicatively connected to the train-level monitoring device is used to store the data signal sets corresponding to each of the carriages respectively obtained by the train-level monitoring device and the data signals collected by the third-party device.

4. The intelligent safety monitoring system for high-speed train sets according to claim 2 is characterized in that: The train-level monitoring equipment is also used to send the data signal sets corresponding to each of the carriages and the data signals collected by the third-party equipment to the data landing equipment, and the data landing equipment is deployed in the research institute.

5. The intelligent safety monitoring system for high-speed train sets according to any one of claims 1 to 4, characterized in that: The high-speed EMU includes two train-level monitoring devices, which are respectively deployed in the first carriage and the last carriage of the high-speed EMU except the driver's cab.

6. The intelligent safety monitoring system for high-speed train sets according to claim 1 is characterized in that: The intelligent safety monitoring host includes at least two monitoring modules selected from the group consisting of a vehicle body stability and bogie imbalance monitoring module, a running gear monitoring module, a pyrotechnics monitoring module, a high-voltage insulation monitoring module, a pantograph video monitoring module, or a bogie video monitoring module; Among them, the car body stability and bogie imbalance monitoring module is used to obtain the acceleration of the car body of the car, the acceleration of the undercarriage hoisting equipment and the acceleration of the bogie of the car; compare the acceleration of the car body with a preset car body threshold range to determine whether the car body is abnormal; compare the acceleration of the undercarriage hoisting equipment with a preset installation structure range to determine whether the undercarriage hoisting equipment is abnormal; compare the acceleration of the bogie with a preset bogie threshold range to determine whether the bogie is abnormal; The running gear monitoring module is used to obtain the state data of the running gear; compare the state data with the preset running gear threshold range to determine whether there is an abnormality in the running gear; The fire and smoke monitoring module is used to obtain the fire and smoke signal of the passenger compartment of the carriage and the temperature signal of each device deployed in the carriage; compare the fire and smoke signal with the preset fire and smoke threshold to determine whether there is an abnormality in the passenger compartment; for each of the devices, compare the temperature signal of the device with the preset temperature threshold to determine whether there is an abnormality in the device; The high-voltage insulation monitoring module is used to obtain an electrical signal from a high-voltage device in contact with the pantograph of the carriage; compare the electrical signal with a preset high-voltage threshold to determine whether there is an abnormality in the high-voltage device; The pantograph video monitoring module is used to obtain a video image of the pantograph on the roof of the carriage; and determine whether the pantograph has an abnormality based on the pantograph video image; The bogie video monitoring module is used to obtain a video image of the bogie area under the carriage; and determine whether there is an abnormality in the bogie based on the video image of the bogie area.

7. The intelligent safety monitoring system for high-speed train sets according to claim 6 is characterized in that: The intelligent safety monitoring host further comprises: at least one of an intelligent identification module and a grid-side power quality monitoring module; The intelligent recognition module is used to call the data acquisition device at the fault location of the abnormal object if there is an abnormal object in the carriage, so as to obtain the video image collected by the data acquisition device; The grid-side power quality monitoring module is used to monitor the power quality of the overhead line power supply and the energy consumption of each load deployed in the carriage.

8. The intelligent safety monitoring system for high-speed train sets according to claim 7 is characterized in that: Also includes: A display screen provided on the high-speed train set; The intelligent recognition module is also used to send the video image collected by the data collection device to the display screen.

9. The intelligent safety monitoring system for high-speed train sets according to claim 7 is characterized in that: The first external interface of the intelligent safety monitoring host is connected to the grid-side power quality monitoring module; the second external interface of the intelligent safety monitoring host is connected to the high-voltage insulation monitoring module.

10. The intelligent safety monitoring system for high-speed train sets according to claim 7 is characterized in that: The vehicle body stability and bogie imbalance monitoring module, the running gear monitoring module, the smoke and fire monitoring module, the high-voltage insulation monitoring module, the pantograph video monitoring module, the bogie video monitoring module, the intelligent identification module and the grid-side power quality monitoring module are integrated into the intelligent safety monitoring host in the form of a board.

Images