Vehicle-mounted data processing method and device

Abstract

The invention discloses a vehicle-mounted data processing method and equipment. The device comprises a data processing unit, a data storage unit and a data transceiving unit which are connected with one another, the data transceiving unit receives original data provided by a control network, a monitoring network, a ground server, an EOAS and a satellite, and provides the original data to the data storage unit for isolation and storage; and outputting the train diagnosis data provided by the data processing unit or the storage unit to a preset interface, the data processing unit obtains train diagnosis data through combined analysis of one or more of a train operation evaluation strategy, a whole-train comparative analysis strategy, a data curve playback strategy, a component load analysis strategy and a historical comparative analysis strategy according to the original data; and providing the train diagnosis data to the data storage unit for storage or outputting the train diagnosis data to a preset interface by the data transceiving unit.

Description

Technical Field

[0001] This application relates to the field of rail transit, and particularly to a vehicle-mounted data processing method and device. Background Art

[0002] With the rapid development of rail transit construction, the running speed of trains has been continuously increasing, and the requirements for train operation safety are getting higher and higher. When a train is running at high speed, it is necessary to monitor various data of the train in real time to reduce the possibility of train accidents. For example, the data monitored by various sensors can provide effective guarantee for the safe operation of the train. How to comprehensively manage and analyze the monitored data, comprehensively evaluate the running state of the train, conduct fault early warning, alarm, prediction and diagnosis, realize the comprehensive management of vehicle-mounted data, multi-source data analysis, train operation assistance decision-making, emergency command and dispatch, and improve the level of train operation safety guarantee will become an important research content for future train operation dynamic monitoring. In the prior art, data such as satellite data and carriage videos are usually directly connected to the vehicle-mounted control network, so there are problems such as single data for safety monitoring and lack of management. Summary of the Invention

[0003] The purpose of this application is to provide a vehicle-mounted data processing method and device, which provide data isolation storage ability and multi-source data operation ability for the problem of lack of management of safety monitoring data in the prior art.

[0004] To achieve the above object, the vehicle-mounted data processing device provided in this application is applicable to EMUs, and the device includes: a data processing unit, a data storage unit and a data transceiver unit; the data processing unit, the data storage unit and the data transceiver unit are interconnected; the data transceiver unit is used to receive the original data provided by the control network, the monitoring network, the ground server, EOAS and the satellite, provide the original data to the data storage unit for isolation and storage; and output the train diagnosis data provided by the data processing unit or the storage unit to a preset interface; the data processing unit is used to obtain train diagnosis data through the combination analysis of one or more of the train operation evaluation strategy, the whole train comparison analysis strategy, the data curve playback strategy, the component load analysis strategy and the historical comparison analysis strategy according to the original data, and provide the train diagnosis data to the data storage unit for storage or output it to a preset interface by the data transceiver unit.

[0005] In the above vehicle-mounted data processing device, optionally, the data storage unit isolates the received data by one or more of physical isolation, logical isolation and encryption isolation.

[0006] In the above-mentioned on-vehicle data processing device, optionally, the control network includes an on-vehicle control network that monitors one or more of traction, braking, doors, air conditioning, high voltage, safety monitoring, ATP / ATO; the monitoring network includes a network that monitors one or more of PIS, carriage video, pantograph video, auxiliary lookout video, and third-party devices and receives corresponding monitoring video data.

[0007] In the above-mentioned on-vehicle data processing device, optionally, the third-party devices include a life signal providing device and a power supply status providing device.

[0008] In the above-mentioned on-vehicle data processing device, optionally, the raw data provided by the satellite includes Beidou satellite navigation data, and the Beidou satellite navigation data includes timing data and positioning data.

[0009] In the above-mentioned on-vehicle data processing device, optionally, the data processing unit includes an operation comparison module, a full-train analysis module, a curve playback module, and a load analysis module; the operation comparison module is used to use the train operation evaluation strategy to obtain train operation evaluation data through correlation comparison and analysis based on the common information and subsystem information provided by the control network, the monitoring network, and the EOAS in the raw data after each route operation, and store and output the train operation evaluation data; the full-train analysis module is used to compare the preset parameters in the full train with the historical parameters during the train operation using the full-train comparison analysis strategy, obtain full-train analysis data based on the comparison results, and store and output the full-train analysis data; the curve playback module is used to analyze the data types of the respective data in the raw data using the data curve playback strategy, generate parameter curves for different types of raw data through the data types; obtain the deterioration trend data of one or more devices in the train based on the parameter curves, and store and output the deterioration trend data; the load analysis module is used to analyze the sensor data of each component and the operating status of each component in the raw data using the component load analysis strategy to obtain the component action frequency load and the component working duration load; generate component load data based on the component action frequency load and the component working duration load, and store and output the component load data.

[0010] In the above-mentioned on-vehicle data processing device, optionally, the data processing unit further includes a comparison analysis module, which is respectively connected to the operation comparison module, the full-train analysis module, the curve playback module, and the load analysis module, and is used to compare the data provided by the operation comparison module, the full-train analysis module, the curve playback module, and the load analysis module with a plurality of preset thresholds respectively, and output preset risk warning information according to the comparison results.

[0011] The present application also provides an in-vehicle data interaction management system including the above-mentioned in-vehicle data processing device. The system further includes a ground server, which is configured to receive the data provided by the data transceiver unit through a preset interface; and obtain the monitoring data of the infrastructure and the external environment of the in-vehicle data interaction management system. Among them, the monitoring data of the infrastructure includes the monitoring data of one or more of TPDS, tunnels, power supply workers, bridges, and operating lines; the monitoring data of the external environment includes the monitoring data of one or more of foreign object intrusion, natural disasters, and geological disasters.

[0012] In the above in-vehicle data interaction management system, optionally, the ground server includes a handheld terminal, a main data center server, and an edge server. Among them, the ground server obtains data from the in-vehicle data processing device through 5G, the main data center server obtains data from the in-vehicle data processing device through MTUP, and the edge server obtains data from the in-vehicle data processing device through WLAN.

[0013] The present application also provides an in-vehicle data processing method applicable to the above-mentioned in-vehicle data processing device. The method includes: receiving, by the in-vehicle data processing device, the raw data provided by the control network, the monitoring network, the ground server, EOAS, and satellites, and performing data isolation and storage on the raw data; obtaining train diagnosis data through a combination analysis of one or more of the train operation evaluation strategy, the full train comparison analysis strategy, the data curve playback strategy, the component load analysis strategy, and the historical comparison analysis strategy based on the stored raw data; and outputting a preset risk prompt message according to the train diagnosis data.

[0014] In the above vehicle-mounted data processing method, optionally, obtaining train diagnostic data through combined analysis of one or more of a train operation evaluation strategy, a full-train comparison analysis strategy, a data curve playback strategy, a component load analysis strategy, and a historical comparison analysis strategy based on the original data includes: using the train operation evaluation strategy to obtain train operation evaluation data through correlation comparison analysis based on the common information and subsystem information provided by the control network, the monitoring network, and the EOAS in the original data after each route operation; using the full-train comparison analysis strategy to compare preset parameters with historical parameters during train operation and obtaining full-train analysis data based on the comparison results; using the data curve playback strategy to analyze the data types of each data in the original data and generating parameter curves for different types of original data through the data types; obtaining deterioration trend data of one or more devices in the train based on the parameter curves; using the component load analysis strategy to analyze the sensor data and the operating states of each component in the original data to obtain component action frequency loads and component working duration loads; generating component load data based on the component action frequency loads and the component working duration loads; and obtaining train diagnostic data based on the train operation evaluation data, the full-train analysis data, the deterioration trend data, and the component load data.

[0015] This application also provides an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the computer program, the above method is implemented.

[0016] This application also provides a computer-readable storage medium storing a computer program for executing the above method.

[0017] This application also provides a computer program product, including a computer program / instructions. When the computer program / instructions are executed by a processor, the steps of the above method are implemented.

[0018] The beneficial technical effects of this application are as follows: 1. Avoid direct access of external train data to the vehicle-mounted control network to ensure train operation safety. 2. Avoid transmission of large-capacity video data on the control network to ensure reliable operation of the vehicle-mounted control network. 3. Can classify and store a large amount of multi-source data (vehicle-mounted + external) for vehicle and ground PHM data requirements. 4. Conduct data comparison analysis on the entire train, carry out fault diagnosis and health assessment, improve system reliability, and provide guidance for maintenance and repair of EMUs. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] The drawings described herein are used to provide a further understanding of the application and form a part of the application, but do not limit the application. In the drawings:

[0020] Figure 1 Schematic diagram of the application scenario of the on-board control network of the multiple unit train provided by an embodiment of the present application;

[0021] Figure 2 Schematic diagram of the application scenario of the on-board data processing device provided by an embodiment of the present application;

[0022] Figure 3 Schematic flowchart of the on-board data processing method provided by an embodiment of the present application;

[0023] Figure 4 Schematic diagram of the structure of the electronic device provided by an embodiment of the present application. Detailed implementation manners

[0024] The following will describe in detail the implementation manners of the present application in conjunction with the accompanying drawings and embodiments, so as to fully understand how the present application uses technical means to solve technical problems and the implementation process of achieving technical effects and implement accordingly. It should be noted that as long as there is no conflict, the various embodiments in the present application and the various features in each embodiment can be combined with each other, and the formed technical solutions are all within the protection scope of the present application.

[0025] In addition, the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and although the logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in a different order than here.

[0026] The on-board data processing device provided by the present application is applicable to multiple unit trains, and the device includes: a data processing unit, a data storage unit, and a data transceiver unit; the data processing unit, the data storage unit, and the data transceiver unit are connected to each other; the data transceiver unit is used to receive the original data provided by the control network, the monitoring network, the ground server, the EOAS, and the satellite, and provide the original data to the data storage unit for isolation and storage; and output the train diagnosis data provided by the data processing unit or the storage unit to a preset interface; the data processing unit is used to obtain train diagnosis data through the combination analysis of one or more of the train operation evaluation strategy, the full train comparison analysis strategy, the data curve playback strategy, the component load analysis strategy, and the historical comparison analysis strategy according to the original data, and provide the train diagnosis data to the data storage unit for storage or output it to a preset interface by the data transceiver unit.

[0027] Specifically, please refer to Figure 1 As shown, in the prior art, the on-board control network of the multiple unit train is directly connected to the Beidou system and the ground system, and all data directly enters the control network, which has a high bandwidth requirement for the control network and obvious defects in terms of security management; in contrast, please refer to Figure 2As shown in the figure, the in-vehicle data processing device provided by this application interacts with an external server through the in-vehicle data platform system device, and then provides the processed data for the control network to use, thereby reducing unnecessary bandwidth requirements and security risks. In actual work, the data storage unit isolates the received data by one or more of physical isolation, logical isolation, and encryption isolation. The control network includes an in-vehicle control network that monitors one or more of traction, braking, doors, air conditioners, high voltage, safety monitoring, ATP / ATO; the monitoring network includes a network that monitors one or more of PIS, in-carriage video, pantograph video, auxiliary lookout video, and third-party devices and receives corresponding monitoring video data. Among them, the third-party devices include a vital-sign providing device and a power-supply status providing device. The original data provided by the satellite includes Beidou satellite navigation data, and the Beidou satellite navigation data includes timing data and positioning data.

[0028] Generally speaking, compared with the traditional in-vehicle control network of EMUs, the in-vehicle data processing device has the ability of data isolation storage and powerful multi-source data computing ability.

[0029] 1. Data isolation storage ability: Connect external data to the in-vehicle data platform instead of directly connecting it to the control network, which isolates the data and improves security and reliability. Set up a monitoring network to connect video data to the in-vehicle data through the monitoring network instead of directly connecting it to the control network, which isolates the data and prevents video data from flowing into the in-vehicle control network and occupying a large amount of bandwidth, ensuring the reliability of the control network operation.

[0030] 2. Multi-source data computing ability: Connect the data of infrastructure and external environment to the in-vehicle data center, increasing the diversity of data. Conduct full-train comparative analysis, fault diagnosis, and health assessment by integrating relevant multi-source data, improving the accuracy and reliability of fault diagnosis and health assessment.

[0031] In an embodiment of the present application, the data processing unit includes an operation comparison module, a full train analysis module, a curve playback module, and a load analysis module; the operation comparison module is configured to use the train operation evaluation strategy to obtain train operation evaluation data through associated comparison analysis based on the common information and subsystem information provided by the control network, the monitoring network, and the EOAS in the original data after each route operation, store and output the train operation evaluation data; the full train analysis module is configured to use the full train comparison analysis strategy to compare preset parameters in the full train with historical parameters during train operation, obtain full train analysis data according to the comparison result, store and output the full train analysis data; the curve playback module is configured to use the data curve playback strategy to analyze and obtain the data types of the various data in the original data, generate parameter curves for different types of original data through the data types; obtain deterioration trend data of one or more devices in the train according to the parameter curves, store and output the deterioration trend data; the load analysis module is configured to use the component load analysis strategy to analyze the sensor data of each component and the operation status of each component in the original data to obtain the component action frequency load and the component working duration load; generate component load data according to the component action frequency load and the component working duration load, store and output the component load data. Further, the data processing unit further includes a comparison analysis module, and the comparison analysis module is respectively connected to the operation comparison module, the full train analysis module, the curve playback module, and the load analysis module, and is configured to compare the data provided by the operation comparison module, the full train analysis module, the curve playback module, and the load analysis module with a plurality of preset thresholds respectively, and output preset risk prompt information according to the comparison result; the specific implementation principles of each module will be described in detail in subsequent embodiments and will not be elaborated one by one here.

[0032] The present application further provides an on-vehicle data interaction management system including the on-vehicle data processing device described above. The system further includes a ground server, and the ground server is configured to receive the data provided by the data transceiver unit through a preset interface; and obtain the monitoring data of the infrastructure and the external environment of the on-vehicle data interaction management system; wherein, the monitoring data of the infrastructure includes the monitoring data of one or more of TPDS, tunnels, power supply workers, bridges, and operation lines; the monitoring data of the external environment includes the monitoring data of one or more of foreign object intrusion, natural disasters, and geological disasters. Among them, the ground server includes a handheld terminal, a main data center server, and an edge server; wherein, the ground server obtains data from the on-vehicle data processing device through 5G, the main data center server obtains data from the on-vehicle data processing device through MTUP, and the edge server obtains data from the on-vehicle data processing device through WLAN.

[0033] Specifically, in actual work, the vehicle-mounted data interaction management system can be implemented through a vehicle-mounted network data center system, which consists of three components: the vehicle-mounted control network, the vehicle-mounted data platform, and the vehicle-mounted monitoring network.

[0034] The main functions of the vehicle-mounted control network are as follows:

[0035] (1) Undertake the monitoring, control, and diagnosis tasks of train operation, which are oriented to train-related systems (traction, braking, high voltage, doors...).

[0036] (2) Monitor the key components and operating status of the train, and give early warnings and alarms (bogie instability, bearing temperature and diagnosis, carbody stability, fire protection, high voltage...).

[0037] (3) Receive train operation instructions (traction, braking) and relevant train operation status information (tunnel, kilometer marker...) from third-party devices ATP / ATO.

[0038] For the vehicle-mounted monitoring network, compared with existing EMUs, the main monitoring functions are as follows:

[0039] (1) Connect to the PIS system and conduct data interaction with the PIS system under the condition of setting up a firewall.

[0040] (2) Receive relevant EMU video information such as car video, pantograph video, and auxiliary lookout video.

[0041] (3) Receive relevant life information and power supply status information of third-party devices (ATO / ATP / EOAS / DMS / CIR / WTP / earthquake warning / over-the-horizon).

[0042] The function of the vehicle-mounted monitoring network is to transfer video data with large capacity and low real-time requirements, such as car video / pantograph video, from the PIS network to the monitoring network, restore the passenger service function that originally belonged to the PIS system, and expand other in-vehicle monitoring requirements (such as auxiliary lookout video / third-party devices).

[0043] For the vehicle-mounted data platform, its main load is to receive and store data, specifically including the following categories:

[0044] (1) Receive and store relevant data information on the monitoring, control, and diagnosis of the operation of the vehicle-mounted control network.

[0045] (2) Receive and store relevant data information of PIS / video / third-party devices from the vehicle-mounted monitoring network.

[0046] (3) Under the condition of setting up a firewall, transmit relevant data information to the ground system through wireless mobile communication means such as 5G / WLAN.

[0047] (4) Under the condition of setting up a firewall, through the WTP device, receive data information of infrastructure (TPDS / bridge / tunnel / operating line) and external environment (foreign object intrusion / wind, rain, snow / debris flow) from the ground server.

[0048] (5) Receive vehicle-mounted positioning information (firewall) and relevant data of EOAS (train number, train control equipment clock, running speed, kilometer post, braking state) from the Beidou system.

[0049] The vehicle-mounted data platform also needs to perform analysis and processing, and its functions include the following:

[0050] (1) In existing EMUs, Beidou data and ground system-related data are directly connected to the control network through wireless networks (satellite communication / 5G / WLAN). In the system design of the new-generation Fuxing EMU, the vehicle-mounted data platform isolates and stores Beidou data and ground system data, avoiding the risk of external data directly attacking the vehicle-mounted control network and ensuring the safe operation of the train.

[0051] (2) In existing EMUs, the vehicle-mounted control network needs to call relevant video data of the EMU (carriage video / pantograph video) through the PIS network when necessary. Most of the data in the monitoring network is video monitoring data, so the data volume is large. In addition, there are many types of monitoring data in the monitoring network, so they are combined into a monitoring network and uniformly managed by the vehicle-mounted data platform. In the system design of the new-generation Fuxing EMU, the control network data and the monitoring network data are isolated and managed to prevent relevant video data from flowing into the vehicle-mounted control network and occupying a large amount of bandwidth, ensuring the reliability of the control network operation.

[0052] (3) In existing EMUs, infrastructure data and external environment data connected to the ground server do not access the EMU system. In the system design of the new-generation Fuxing EMU, expand the external data requirements, connect infrastructure and external environment-related data information to the vehicle-mounted data platform of the EMU, and assist the EMU in health management and safety operation guarantee.

[0053] (4) Conduct train-level comprehensive diagnosis, mainly including the following aspects:

[0054] 1) Train operation evaluation: During the operation of the EMU, the vehicle-mounted data center integrates public information such as kilometer posts and road conditions obtained from the control network, monitoring network, and EOAS, as well as information related to functional subsystems such as traction and braking, and uses analysis methods such as multi-system correlation and multi-train comparison for comprehensive diagnosis, and further gives train operation evaluation results and emergency disposal suggestions to assist the driver and the mechanic in emergency handling.

[0055] After each round-trip operation of the multiple unit train, the operation of this round-trip is evaluated, and an operation report for this round-trip is automatically generated, providing data support for the next round-trip operation or depot maintenance of the multiple unit train, and at the same time enabling the driver to quickly understand the operation conditions of this round-trip.

[0056] 2) Full train comparison and analysis: During the train operation, important historical parameters of each car of the whole train are compared and analyzed in real time according to the correlation; early anomalies are detected through the full train comparison, and early warning prompts are given before the subsystem alarms, providing support for the mechanic during train operation. The horizontal comparison mode of the whole train subsystems is shown in Table 1 as follows:

[0057] Table 1

[0058]

[0059]

[0060]

[0061]

[0062]

[0063] 3) Data curve playback: Provide parameter curve playback of various monitoring data for the crew. When an alarm occurs, it assists the mechanic to confirm the accuracy of the alarm; when a fault occurs, it enables the mechanic to quickly understand the historical state and deterioration trend of the equipment.

[0064] 4) Component load analysis: Component load analysis is statistically carried out based on the sensor data and operation status data of the monitoring network and control network. It is mainly divided into two major types of loads. The first type is the component action frequency load, and the second type is the component working duration load; it supports querying of load data, and also supports horizontal comparison of multiple cars and trend analysis of multiple round-trips. When the component load exceeds the normal level, it prompts the mechanic to pay attention.

[0065] 5) Historical comparison and analysis: Based on the output results of the intelligent equipment of the multiple unit train, continuous cumulative calculations are carried out on the state parameters of each important subsystem. When the component performance deteriorates to affect the operation safety, it prompts the mechanic to pay attention and handle it.

[0066] (5) Use the multi-source data information collected by the system (subsystem parameters, key component parameters, video data, operation status of third-party equipment, infrastructure data, external environment data) for in-depth train fault diagnosis and health assessment. For example: diagnose wheel wear or polygon through collecting information related to the operation line (such as rail corrugation).

[0067] Please refer to Figure 3As shown, the present application also provides a vehicle-mounted data processing method applicable to the vehicle-mounted data processing device described above. The method includes:

[0068] S301 Receive the raw data provided by the control network, the monitoring network, the ground server, the EOAS, and the satellite through the vehicle-mounted data processing device, and perform data isolation and storage on the raw data;

[0069] S302 Obtain train diagnosis data through a combination analysis of one or more of the train operation evaluation strategy, the full train comparison analysis strategy, the data curve playback strategy, the component load analysis strategy, and the historical comparison analysis strategy based on the stored raw data;

[0070] S303 Output preset risk prompt information according to the train diagnosis data.

[0071] Among them, obtaining train diagnosis data through a combination analysis of one or more of the train operation evaluation strategy, the full train comparison analysis strategy, the data curve playback strategy, the component load analysis strategy, and the historical comparison analysis strategy based on the raw data includes: Using the train operation evaluation strategy to obtain train operation evaluation data through correlation comparison analysis based on the common information and subsystem information provided by the control network, the monitoring network, and the EOAS in the raw data after each route operation; Using the full train comparison analysis strategy to compare the preset parameters in the full train with the historical parameters during the train operation, and obtaining full train analysis data according to the comparison results; Using the data curve playback strategy to analyze the data types of the various data in the raw data, and generating parameter curves for different types of raw data through the data types; Obtaining the deterioration trend data of one or more devices in the train according to the parameter curves; Using the component load analysis strategy to analyze the sensor data of each component and the operating status of each component in the raw data to obtain the component action frequency load and the component working duration load; Generating component load data according to the component action frequency load and the component working duration load; Obtaining train diagnosis data according to the train operation evaluation data, the full train analysis data, the deterioration trend data, and the component load data. Since the above vehicle-mounted data processing method has been described and exemplified one by one in the foregoing embodiments, it will not be elaborated here one by one.

[0072] Through the above-mentioned on-vehicle data processing method provided by this application, it is possible to achieve diversified monitoring targets and diversified data: on the basis of the existing on-vehicle control network and safety monitoring system of EMUs, the monitoring of infrastructure (bridges, tunnels), external environment (foreign objects, wind, rain, snow), third-party equipment, etc. is added. The monitoring data includes various forms such as temperature, vibration, current, voltage, vital signs, video data, etc. Diversified monitoring means: there are both existing sensor monitoring, I / O interface data acquisition, and at the same time include camera image acquisition, etc. Diversified decision-making measures: include various forms such as early warning, alarm, mechanic reminder, fault diagnosis, and health assessment.

[0073] The beneficial technical effects of this application are as follows: 1. Avoid direct access of train external data to the on-vehicle control network to ensure the safety of train operation. 2. Avoid the transmission of large-capacity video data on the control network to ensure the reliable operation of the on-vehicle control network. 3. Can classify and store a large amount of diverse data (on-vehicle + external) for vehicle and ground PHM data requirements. 4. Conduct data comparison and analysis on the whole train, carry out fault diagnosis and health assessment, improve the system reliability, and provide guidance for the maintenance of EMUs.

[0074] This application also provides an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the computer program, the above method is implemented.

[0075] This application also provides a computer-readable storage medium, and the computer-readable storage medium stores a computer program for executing the above method.

[0076] This application also provides a computer program product, including a computer program / instructions. When the computer program / instructions are executed by the processor, the steps of the above method are implemented.

[0077] This application also provides an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the computer program, the above method is implemented.

[0078] This application also provides a computer-readable storage medium, and the computer-readable storage medium stores a computer program for executing the above method.

[0079] This application also provides a computer program product, including a computer program / instructions. When the computer program / instructions are executed by the processor, the steps of the above method are implemented.

[0080] As Figure 4As shown, the electronic device 600 may further include: a communication module 110, an input unit 120, an audio processor 130, a display 160, and a power supply 170. It should be noted that the electronic device 600 does not necessarily have to include Figure 4 all the components shown therein; in addition, the electronic device 600 may further include Figure 4 components not shown in

[0081] As Figure 4 shown, the central processing unit 100, sometimes also referred to as a controller or operation control, may include a microprocessor or other processor device and / or logic device. The central processing unit 100 receives inputs and controls the operations of the various components of the electronic device 600.

[0082] Among them, the memory 140 can be, for example, one or more of a buffer, a flash memory, a hard drive, a removable medium, a volatile memory, a non-volatile memory, or other suitable devices. It can store the above information related to failures, and can also store programs for executing relevant information. And the central processing unit 100 can execute the programs stored in the memory 140 to implement information storage or processing, etc.

[0083] The input unit 120 provides inputs to the central processing unit 100. The input unit 120 is, for example, a key or a touch input device. The power supply 170 is used to supply power to the electronic device 600. The display 160 is used to display display objects such as images and texts. The display can be, for example, an LCD display, but is not limited thereto.

[0084] The memory 140 can be a solid-state memory. For example, a read-only memory (ROM), a random access memory (RAM), a SIM card, etc. It can also be a memory that stores information even when powered off, can be selectively erased and has more data. Examples of such a memory are sometimes referred to as EPROMs, etc. The memory 140 can also be some other type of device. The memory 140 includes a buffer memory 141 (sometimes referred to as a buffer). The memory 140 may include an application / function storage section 142, and the application / function storage section 142 is used to store application programs and function programs or the processes for operating the electronic device 600 through the central processing unit 100.

[0085] The memory 140 may further include a data storage section (data 143), and the data storage section (data 143) is used to store data, such as contacts, digital data, pictures, sounds, and / or any other data used by the electronic device. The driver storage section (driver 144) of the memory 140 may include various drivers for the communication functions of the electronic device and / or for executing other functions of the electronic device (such as a messaging application, an address book application, etc.).

[0086] The communication module 110 is a transmitter / receiver 110 that transmits and receives signals via the antenna 111. The communication module (transmitter / receiver) 110 is coupled to the central processor 100 to provide input signals and receive output signals, which can be the same as in the case of a conventional mobile communication terminal.

[0087] Based on different communication technologies, multiple communication modules 110, such as a cellular network module, a Bluetooth module, and / or a wireless local area network module, etc., can be provided in the same electronic device. The communication module (transmitter / receiver) 110 is also coupled to the speaker 131 and the microphone 132 via the audio processor 130 to provide an audio output via the speaker 131 and receive an audio input from the microphone 132, thereby implementing normal telecommunication functions. The audio processor 130 can include any suitable buffers, decoders, amplifiers, etc. Additionally, the audio processor 130 is also coupled to the central processor 100, so that recording can be performed on the local device through the microphone 132, and the sound stored on the local device can be played through the speaker 131.

[0088] Those skilled in the art should understand that the embodiments of the present application can be provided as a method, a system, or a computer program product. Therefore, the present application can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0089] The present application is described with reference to the flowcharts and / or block diagrams of methods, apparatuses (systems), and computer program products according to the embodiments of the present application. It should be understood that each flow and / or block in the flowcharts and / or block diagrams, and the combination of flows and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, such that the instructions executed by the processor of the computer or other programmable data processing devices generate means for implementing the functions specified in Figure 1 one or more of the processes or multiple processes and / or blocks Figure 1 one or more of the blocks or multiple blocks.

[0090] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, such that the instructions stored in the computer-readable memory generate a manufactured article including instruction means that implement the functions specified in the process Figure 1One or more processes and / or blocks Figure 1 The functions specified in one or more blocks.

[0091] These computer program instructions can also be loaded onto a computer or other programmable data processing device, so that a series of operation steps are executed on the computer or other programmable device to generate a computer-implemented process. Thus, the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in one Figure 1 One or more processes and / or blocks Figure 1 The steps of the functions specified in one or more blocks.

[0092] The specific embodiments described above further elaborate on the purpose, technical solutions, and beneficial effects of this application. It should be understood that the above are only specific embodiments of this application and are not used to limit the protection scope of this application. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of this application shall be included within the protection scope of this application.

Claims

1. A vehicle-mounted data processing device, suitable for EMU, characterized in that: The device comprises: a data processing unit, a data storage unit and a data transceiver unit; The data processing unit, the data storage unit and the data transceiver unit are connected to each other; The data transceiver unit is used to receive raw data from the control network, monitoring network, ground server, EOAS and satellite, and provide the raw data to the data storage unit for isolation and storage; and output the train diagnostic data provided by the data processing unit or the storage unit to a preset interface; The data processing unit is used to obtain train diagnostic data based on the original data through a combination of one or more of a train operation evaluation strategy, a full-train comparison analysis strategy, a data curve playback strategy, a component load analysis strategy and a historical comparison analysis strategy, and provide the train diagnostic data to the data storage unit for storage or output it to a preset interface by the data transceiver unit.

2. The vehicle-mounted data processing device according to claim 1, characterized in that: The data storage unit isolates the received data by one or more of physical isolation, logical isolation and encryption isolation.

3. The vehicle-mounted data processing device according to claim 1, characterized in that: The control network includes an on-board control network that monitors one or more of traction, braking, doors, air conditioning, high voltage, safety monitoring, and ATP / ATO; the monitoring network includes a network that monitors one or more of PIS, car video, pantograph video, auxiliary lookout video, and third-party equipment and receives corresponding monitoring video data.

4. The vehicle-mounted data processing device according to claim 3, characterized in that: The third-party device includes a life signal providing device and a power supply status providing device.

5. The vehicle-mounted data processing device according to claim 1, characterized in that: The original data provided by the satellite includes Beidou satellite navigation data, and the Beidou satellite navigation data includes timing data and positioning data.

6. The vehicle-mounted data processing device according to claim 1, characterized in that: The data processing unit includes an operation comparison module, a full-column analysis module, a curve playback module and a load analysis module; The operation comparison module is used to use the train operation evaluation strategy to obtain train operation evaluation data through correlation comparison analysis based on the public information and subsystem information provided by the control network, the monitoring network and the EOAS in the original data after each cross-line operation, and store and output the train operation evaluation data; The full train analysis module is used to compare the preset parameters of the full train with the historical parameters during the train operation by using the full train comparison analysis strategy, obtain the full train analysis data according to the comparison result, store and output the full train analysis data; The curve playback module is used to obtain the data type of each data in the raw data by analyzing the data curve playback strategy, and generate parameter curves from different types of raw data through the data type; obtain the degradation trend data of one or more devices in the train according to the parameter curve, and store and output the degradation trend data; The load analysis module is used to analyze the sensor data and the operating status of each component in the original data using a component load analysis strategy to obtain the component action frequency load and the component working duration load; generate component load data according to the component action frequency load and the component working duration load, and store and output the component load data.

7. The vehicle-mounted data processing device according to claim 6, characterized in that: The data processing unit also includes a comparison and analysis module, which is respectively connected to the operation comparison module, the full column analysis module, the curve playback module and the load analysis module, and is used to compare the data provided by the operation comparison module, the full column analysis module, the curve playback module and the load analysis module with preset multiple thresholds, and output preset risk warning information according to the comparison results.

8. An in-vehicle data interaction management system comprising the in-vehicle data processing device according to any one of claims 1 to 7, characterized in that: The system also includes a ground server, which is used to receive data provided by the data transceiver unit through a preset interface; and to obtain monitoring data of the external environment of the infrastructure and the vehicle-mounted data interaction management system; wherein the monitoring data of the infrastructure includes monitoring data of one or more of TPDS, tunnels, power supply workers, bridges, and operating lines; the monitoring data of the external environment includes monitoring data of one or more of foreign body intrusion, natural disasters, and geological disasters.

9. The vehicle-mounted data interaction management system according to claim 8, characterized in that: The ground server includes a handheld terminal, a main data center server and an edge server; Among them, the ground server obtains data from the on-board data processing device through 5G, the main data center server obtains data from the on-board data processing device through MTUP, and the edge server obtains data from the on-board data processing device through WLAN.

10. An in-vehicle data processing method applicable to the in-vehicle data processing device according to any one of claims 1 to 7, characterized in that: The method comprises: Receive raw data from the control network, monitoring network, ground server, EOAS and satellite through the on-board data processing equipment, and isolate and store the raw data; Obtain train diagnostic data according to the stored raw data through a combination of one or more of a train operation evaluation strategy, a full train comparison analysis strategy, a data curve playback strategy, a component load analysis strategy, and a historical comparison analysis strategy; Output preset risk warning information according to the train diagnostic data.

11. The vehicle-mounted data processing method according to claim 10, characterized in that: The train diagnostic data is obtained by analyzing the original data through one or more of a train operation evaluation strategy, a full train comparison analysis strategy, a data curve playback strategy, a component load analysis strategy, and a historical comparison analysis strategy, including: Using the train operation evaluation strategy, after each cross-line operation, the train operation evaluation data is obtained through correlation comparison and analysis based on the public information and subsystem information provided by the control network, the monitoring network and the EOAS in the original data; By using the full train comparison and analysis strategy, preset parameters of the full train are compared with historical parameters during the train operation, and full train analysis data is obtained according to the comparison results; The data curve playback strategy is used to analyze and obtain the data type of each data in the raw data, and the parameter curve is generated by different types of raw data through the data type; the degradation trend data of one or more devices in the train is obtained according to the parameter curve; Analyzing the sensor data and the operating status of each component in the original data using the component load analysis strategy to obtain the component action frequency load and the component working time load; Generate component load data according to the component action frequency load and the component working time load; Train diagnostic data is obtained based on the train operation evaluation data, the full train analysis data, the degradation trend data and the component load data.

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