CN113946349A - Intelligent comprehensive detection system fusion host for urban rail train - Google Patents
Intelligent comprehensive detection system fusion host for urban rail train Download PDFInfo
- Publication number
- CN113946349A CN113946349A CN202111150665.7A CN202111150665A CN113946349A CN 113946349 A CN113946349 A CN 113946349A CN 202111150665 A CN202111150665 A CN 202111150665A CN 113946349 A CN113946349 A CN 113946349A
- Authority
- CN
- China
- Prior art keywords
- card
- fusion
- host
- detection subsystem
- management
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F8/00—Arrangements for software engineering
- G06F8/60—Software deployment
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B61—RAILWAYS
- B61L—GUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
- B61L23/00—Control, warning, or like safety means along the route or between vehicles or vehicle trains
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B61—RAILWAYS
- B61L—GUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
- B61L23/00—Control, warning, or like safety means along the route or between vehicles or vehicle trains
- B61L23/04—Control, warning, or like safety means along the route or between vehicles or vehicle trains for monitoring the mechanical state of the route
- B61L23/041—Obstacle detection
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F15/00—Digital computers in general; Data processing equipment in general
- G06F15/76—Architectures of general purpose stored program computers
- G06F15/78—Architectures of general purpose stored program computers comprising a single central processing unit
- G06F15/7807—System on chip, i.e. computer system on a single chip; System in package, i.e. computer system on one or more chips in a single package
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F8/00—Arrangements for software engineering
- G06F8/70—Software maintenance or management
- G06F8/76—Adapting program code to run in a different environment; Porting
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
Abstract
The invention discloses an intelligent comprehensive detection system fusion host for an urban rail train, which fuses vehicle-mounted detection subsystems comprising an obstacle detection subsystem, a bow net detection subsystem, a running part/derailment detection subsystem and a stability detection subsystem on one host, unifies interface standards and unified management modes, and performs centralized processing and management on information acquired by a front-end sensor so as to realize intelligent comprehensive monitoring on the urban rail train. The invention simplifies the integration of the whole vehicle, effectively reduces the requirements on resources such as vehicle space, power consumption and the like, and further reduces the implementation cost and the later-stage operation cost; based on the function level algorithm library fusion scheme, the core algorithm of each subsystem is reserved to the maximum extent, platform software is used for unified calling and management, the fusion problem caused by the diversity of an application program development language or a programming framework or the special requirement of a program running environment is effectively avoided, and the compatibility of a platform system is remarkably improved.
Description
Technical Field
The invention belongs to the technical field of rail transit, and particularly relates to an intelligent comprehensive detection system fusion host for an urban rail train.
Background
Along with the continuous improvement of subway train intelligence operation and maintenance requirement, system equipment for gathering vehicle and key component state information also increases gradually. At present, the more commonly used vehicle detection systems are an obstacle detection system (which detects and alarms an obstacle ahead of the train operation by using a video analysis technology and a radar detection technology), a pantograph-catenary detection system (which detects and alarms related faults and index parameters of a pantograph component and a catenary of the train by using a video analysis technology and a sensor detection technology), a running gear monitoring system (which analyzes, diagnoses and alarms hidden danger trends of key components of a running gear of the train by using a sensor detection technology), a stability detection system and the like (which detects and alarms indexes of stability of the train by using a sensor detection technology). The main processing unit of each subsystem in the current market adopts an X86 universal platform, all types of data operation processing are executed on the platform, the processing efficiency of the platform on different types of data is different, each set of system configures own specific hardware equipment and intranet according to own functional requirements, and the interface and the internal communication protocol standard are not uniform (as shown in figure 1). Along with the increase of detection system, vehicle interface constantly increases, and whole car integration complexity is higher and higher, also more and more to resource demands such as vehicle space and energy consumption, is unfavorable for the long-term healthy development of subway train intelligence operation and maintenance.
Disclosure of Invention
In order to solve the technical problems mentioned in the background technology, the invention provides an intelligent comprehensive detection system fusion host for an urban rail train.
In order to achieve the technical purpose, the technical scheme of the invention is as follows:
a fusion host of an intelligent comprehensive detection system of an urban rail train is characterized in that vehicle-mounted detection subsystems including an obstacle detection subsystem, a bow net detection subsystem, a running part/derailment detection subsystem and a stability detection subsystem are fused on the same host, and the interface standard and the unified management mode are unified, and the information collected by a front-end sensor is processed and managed in a centralized manner, so that the intelligent comprehensive monitoring of the urban rail train is realized; building a modularized and configurable hardware platform according to functional requirements on the hardware design level of the fusion host; on the design level of software parts of a fusion host, a platform system adopts intelligent management, distributes and combines calculation tasks of all vehicle-mounted detection subsystems after being disassembled, processes according to priority, allocates the calculation tasks to board card equipment with the best performance according to calculation types to execute calculation, and realizes efficiency maximization and power consumption minimization; the method is characterized in that a function level algorithm library fusion scheme is adopted, each vehicle-mounted detection subsystem packages a core algorithm code of the vehicle-mounted detection subsystem into the SDK, software platform system processes call an interface function and send data to an algorithm library program through an interface according to the operation requirements of the algorithm library, the processes are not interfered with one another, the detection function of each vehicle-mounted detection subsystem is realized in a multi-process mode, after the algorithm library program is executed, result data are sent to a result management module through an output interface function, and finally result information is reported.
Based on the preferable scheme of the technical scheme, the MPU card of the fusion host adopts an X86 platform; the MPU card is based on system management software of a B/S architecture and is responsible for integrating functions of module configuration, algorithm/software program configuration, application data flow configuration, communication configuration, host system resource management and local storage configuration of a host.
Based on the optimal scheme of the technical scheme, the SWITCH card of the fusion host adopts an FPGA technology to realize high-speed multi-channel real-time data analysis and forwarding, and a PCIE fusion technology is adopted between the SWITCH card and a backboard bus to expand the bandwidth between the SWITCH card and other business processing cards to ten thousand megabytes; the SWITCH card contains an intelligent allocation module, and by identifying the type of the transmission data, the data is forwarded to the appointed service board card through the backboard bus for processing.
Based on the preferred scheme of the technical scheme, for intensive and highly parallel computing tasks, the intelligent allocation module forwards the multiple paths of high-frame-rate and high-pixel video and image data collected by front-end sensor equipment including the bow net detection subsystem and the obstacle detection subsystem to the AI board card for processing; for parallel computing tasks with large data volume and high throughput, the multi-channel sensor data with high acquisition frequency, which are acquired by front-end sensor equipment of a walking part/derailment detection subsystem and a stationarity detection subsystem, are forwarded to the FSP board card by the intelligent allocation module for acceleration processing and then forwarded to the MPU card for analysis processing.
Based on the preferable scheme of the technical scheme, the AI card of the fusion host adopts intelligent acceleration hardware and comprises a plurality of NPUs; the AI card is internally provided with an equipment communication interface configuration and management module to realize the unified management of the communication interfaces of the sensor equipment of various types of terminals and isolate an interface communication protocol from an algorithm library, so that the algorithm library does not depend on certain fixed sensor equipment any more.
Based on the preferable scheme of the technical scheme, the FSP card of the fusion host adopts the FPGA technology to realize the parallel task acceleration processing module, and the raw data collected by the front-end sensor equipment of each vehicle-mounted detection subsystem is preprocessed by the parallel task acceleration processing module before being sent to the algorithm library.
Based on the preferable scheme of the technical scheme, the fusion host adopts an independent NVR card which is separated from the MPU card, and the independent NVR can store original image data information for playback and fault off-line diagnosis and analysis.
Based on the preferred scheme of above-mentioned technical scheme, the integration host computer adopts 6U machine case design, can configure into 3U vehicle carried switch to use through the split.
Adopt the beneficial effect that above-mentioned technical scheme brought:
the obstacle detection system, the bow net detection system, the walking part/derailment detection system and the stationarity detection system are integrated on the same host, so that unified interface standards, unified management modes and centralized processing and management of collected information are realized, the integration of the whole vehicle can be greatly simplified, the requirements on resources such as vehicle space and power consumption are effectively reduced, and the implementation cost and the later-stage operation cost are reduced; by adopting a function level algorithm library fusion scheme, the core algorithm of each subsystem is reserved to the maximum extent, platform software is used for unified calling and management, the fusion problem caused by the diversity of application program development languages or programming frameworks can be effectively avoided, and the compatibility of a platform system is obviously improved; meanwhile, the system is intelligently managed, the calculation tasks of the subsystems are respectively distributed and combined after being scattered, and then are processed according to the priority, so that the calculation tasks can be allocated to the board card equipment with the best performance (each type of board card comprises a main stream processor) according to the operation type to execute the operation, the efficiency rate of equipment resources can be obviously improved, the efficiency maximization and the power consumption minimization are ensured, and the long-term healthy development of the intelligent operation and maintenance of the subway train is facilitated.
Drawings
FIG. 1 is a schematic diagram of an existing independent deployment of vehicle-mounted detection systems;
FIG. 2 is a schematic diagram of a converged host design of the present invention;
FIG. 3 is a schematic diagram of algorithm fusion in the present invention;
FIG. 4 is a schematic diagram of an advantageous arrangement of the present invention.
Detailed Description
The technical scheme of the invention is explained in detail in the following with the accompanying drawings.
The invention designs an intelligent comprehensive detection system fusion host of an urban rail train, as shown in figure 2, and integrates and manages vehicle-mounted detection systems such as obstacle detection, bow net detection, running part/derailment detection, stability detection and the like through a hardware and software platform of the fusion host with high performance, high reliability, strong compatibility and expansibility, so as to perform multifunctional comprehensive monitoring on the train. The whole set of fusion detection system is built in a modular mode, and different functional requirements can be met by adding or deleting subsystem modules or algorithm application according to different requirements. The core processing components of the whole set of system all adopt embedded processors, the system has the characteristics of high performance and low power consumption, and the embedded intelligent management software module can allocate the calculation tasks to the optimal board card equipment to be executed according to the operation type. The invention can effectively solve the problems that the requirements on resources such as train space, energy consumption and the like are more and more increased and the interfaces and communication protocols are not uniform when the current detection systems are independently deployed, and the invention can effectively solve the conflict problems that the network bandwidth, the operation resources and the application program operating environment are not compatible and the like in the system fusion process.
This integration host computer possesses the function: integrating and applying software and hardware of the vehicle-mounted host of each detection subsystem, wherein interfaces of each subsystem are fused on the fusion host; the modularized hardware platform can be built according to functional requirements; the data analysis platform is fused, data information of all detection subsystems is integrated and analyzed and processed in parallel, and multiple algorithms are deployed on the same platform; the comprehensive management software can manage and configure hardware, algorithms and system resources; storing original data and analysis results, and calling and checking at any time; the host has functions of system self-checking, fault diagnosis and the like.
The hardware design of the fusion host mainly comprises the following steps:
(1) the fusion host adopts a 6U case design, increases expansibility for a new subsystem, and can be configured into a 3U vehicle-mounted switch for use through splitting.
(2) The MPU card integrated with the host adopts an X86 platform, has high platform performance, strong processing capability and strong universality, and is very suitable for processing calculation tasks with large data volume and high throughput and complex calculation tasks such as circulation, recursion, logic and the like.
(3) The AI card of the fusion host adopts intelligent acceleration hardware which comprises a plurality of NPUs, thereby greatly improving the AI computing capability, and the functions of hardware streaming media encoding and decoding and the like are included, so that the fusion host is very suitable for processing high-intensive and highly parallel computing tasks of videos and images.
(4) The FSP card fusing the host machine adopts the FPGA technology to realize an acceleration module, has good load performance, can obviously improve the signal parallel computing processing capacity, and simultaneously increases a plurality of paths of DO to ensure that the alarm information is output quickly.
(4) The SWITCH card of the fusion host adopts FPGA technology to realize high-speed multi-channel real-time data analysis and forwarding, the real-time performance of data processing is ensured, PCIE fusion technology is adopted between the SWITCH card and a backboard bus, the bandwidth between the SWITCH card and other service processing cards is expanded to ten thousand megabytes, and the transmission of high-quality original video data is effectively supported.
(5) The integration host adopts an independent NVR card, is separated from the main control card MPU, and does not influence the main functions of alarm and the like of each detection system during recording of a large amount of data. Independent NVRs contain the main functions: and storing the original image data information for playback and fault off-line diagnosis and analysis.
The software design of the fusion host mainly comprises the following steps:
(1) according to the function-level algorithm library fusion scheme, each detection subsystem can package own core algorithm codes into the SDK, only input and output API (application program interface) functions are required to be provided for a platform system, and extra development and calling and other control programs are not required. And the platform system process calls an interface function and sends the data to the algorithm library program through the interface according to the operation requirement of the algorithm library (such as sending the data to the algorithm library program once every millisecond), so that the detection function of the subsystem is realized. And after the algorithm library program is executed, the result data is sent to a result management module through an output interface function for subsequent service processing. The operation management of the subsystem algorithm library can be realized by controlling the corresponding calling process. As long as the interface function and the transceiving data format of the SDK are not changed, each subsystem can freely upgrade the algorithm library program according to the requirement without changing the platform system code.
(2) The SWITCH card contains an intelligent allocation module, and the intelligent and high-speed forwarding of transmission data is realized through an FPGA program and an embedded program. And by identifying the type of the transmission data, the data is forwarded to the appointed service board card through the backboard bus for processing. For example, front-end sensor equipment of a bow net detection system and an obstacle detection system collects multi-channel high-frame-rate and high-pixel video and image data, and for the intensive and highly parallel computing tasks, an intelligent allocation module forwards the intensive and highly parallel computing tasks to an AI board card for processing; for example, the front-end sensor device of the walking part/derailment/stationarity detection system collects multiple paths of sensor data with high collection frequency, and for the parallel calculation tasks with large data volume and high throughput, the intelligent allocation module forwards the sensor data to the FSP board card for acceleration processing and then forwards the sensor data to the MPU for analysis processing, as shown in FIG. 3. The intelligent allocation module can ensure that the operational performance of the core service board card is optimally utilized, thereby improving the operation efficiency and reducing the operation power consumption.
(3) The equipment communication interface configuration and management module in the AI card can realize the unified management of the communication interfaces of the sensor equipment of various types of terminals, and isolate the interface communication protocol from the algorithm library, namely the algorithm library does not depend on certain fixed sensor equipment any more. In the future, an interface standard library can be established for sensor equipment of different mainstream sensor manufacturers, and when certain brand of sensor equipment is damaged, equipment of other brands can be temporarily adopted without influencing service processing, so that the maintainability of the system is improved.
(4) The algorithm library of the bow net and barrier subsystem fused in the AI card adopts a function-level interface, the service processing process obtains the application of the algorithm by calling the interface function, all processes are not interfered with each other, and the multi-path operation parallel execution can be realized by a multi-process mode. Other library functions or software depended by the algorithm library during operation can be uniformly deployed, and the algorithm libraries can share the same resource, so that the waste of storage and memory resources caused by repeated deployment is avoided.
(5) And an acceleration processing module in the FSP card realizes the acceleration processing of the multi-path parallel tasks through an FPGA technology. The raw data collected by the front-end sensor equipment is preprocessed by the FPGA acceleration module before being sent to the algorithm library, so that the operation efficiency of the algorithm library can be remarkably improved. Thereby reducing the computational load of the MPU card.
(6) The main control program of the MPU card has the functions of local service configuration management: the system management software based on the B/S architecture is responsible for integrating functions of module configuration, algorithm/software program configuration, application data stream configuration, communication configuration, host system resource management, local storage configuration and the like of a host.
As shown in fig. 4, the terminal devices of all the detection subsystems are uniformly converged to the switch board card embedded in the convergence host, the bandwidth between the switch board card and each core service processing board card is expanded to ten thousand megabits by the PCIE backplane convergence technology, and the FPGA module included in the switch can efficiently forward data to a specified service board card for operation processing according to the communication data type; the system is provided with comprehensive management software with powerful functions, algorithms, functions and equipment parts of each detection system can be configured according to requirements, subsystems and functions thereof can be added and deleted according to requirements, resources of each core service board card of the host can be managed, and data information of each detection subsystem can be integrated and analyzed in parallel. The design of centralized service processing and equipment resource sharing can effectively reduce the total demand on train energy consumption when various subsystems are independently deployed. For example, in a running gear online detection system of a train of 6-marshalled subway trains, if the trains are independently networked, each train needs to be provided with a vehicle-mounted host, network connection needs to be established between the vehicle-mounted hosts, and each vehicle-mounted host needs to establish network communication with the TCMS, so that the train wiring demand is large.
The embodiments are only for illustrating the technical idea of the present invention, and the technical idea of the present invention is not limited thereto, and any modifications made on the basis of the technical scheme according to the technical idea of the present invention fall within the scope of the present invention.
Claims (8)
1. The utility model provides a city rail train intelligent integrated detection system fuses host computer which characterized in that: the method comprises the following steps of integrating vehicle-mounted detection subsystems including an obstacle detection subsystem, a bow net detection subsystem, a walking part/derailment detection subsystem and a stability detection subsystem on a host, unifying interface standards and management modes, and carrying out centralized processing and management on information collected by front-end sensor equipment so as to realize intelligent comprehensive monitoring on the city-scale train; building a modularized and configurable hardware platform according to functional requirements on the hardware design level of the fusion host; on the software design level of the fusion host, the platform system adopts intelligent management, distributes and combines the calculation tasks of each vehicle-mounted detection subsystem after being disassembled, processes according to priority, allocates the calculation tasks to the board card equipment with the best performance according to the calculation types to execute the calculation, and realizes the maximization of efficiency and the minimization of power consumption; the method comprises the steps that a function level algorithm library fusion scheme is adopted, each vehicle-mounted detection subsystem packages a core algorithm code of the vehicle-mounted detection subsystem into an SDK, software platform system processes call an interface function according to the operation requirements of an algorithm library and send data to an algorithm library program through the interface, the processes are not interfered with one another, the detection function of each vehicle-mounted detection subsystem is achieved in a multi-process mode, after the algorithm library program is executed, result data are sent to a result management module through an output interface function, and finally result information is reported.
2. The intelligent integrated urban rail train detection system fusion host computer according to claim 1, characterized in that: the MPU card of the fusion host adopts an X86 platform; the MPU card is based on system management software of a B/S architecture and is responsible for integrating functions of module configuration, algorithm/software program configuration, application data flow configuration, communication configuration, host system resource management and local storage configuration of a host.
3. The intelligent integrated urban rail train detection system fusion host computer according to claim 1, characterized in that: the SWITCH card of the fusion host adopts FPGA technology to realize high-speed multi-channel real-time data analysis and forwarding, PCIE fusion technology is adopted between the SWITCH card and the backboard bus, and the bandwidth between the SWITCH card and other business processing cards is expanded to ten thousand megabytes; the SWITCH card contains an intelligent allocation module, and by identifying the type of the transmission data, the data is forwarded to the appointed service board card through the backboard bus for processing.
4. The intelligent integrated urban rail train detection system fusion host computer according to claim 3, characterized in that: for intensive and highly parallel computing tasks, the intelligent allocation module forwards the intensive and highly parallel computing tasks to an AI board card for processing, wherein the multiple paths of high-frame-rate and high-pixel video and image data are acquired by front-end sensor equipment including a bow net detection subsystem and an obstacle detection subsystem; for parallel computing tasks with large data volume and high throughput, the multi-channel sensor data with high acquisition frequency, which are acquired by front-end sensor equipment of a walking part/derailment detection subsystem and a stationarity detection subsystem, are forwarded to the FSP board card by the intelligent allocation module for acceleration processing and then forwarded to the MPU card for analysis processing.
5. The intelligent integrated urban rail train detection system fusion host computer according to claim 1, characterized in that: the AI card of the fusion host adopts intelligent acceleration hardware and comprises a plurality of NPUs; the AI card is internally provided with an equipment communication interface configuration and management module to realize the unified management of the communication interfaces of the sensor equipment of various types of terminals and isolate an interface communication protocol from an algorithm library, so that the algorithm library does not depend on certain fixed sensor equipment any more.
6. The intelligent integrated urban rail train detection system fusion host computer according to claim 1, characterized in that: the FSP card fusing the host machine adopts an FPGA technology to realize a parallel task acceleration processing module, and the original data collected by the front-end sensor equipment of each vehicle-mounted detection subsystem is preprocessed by the parallel task acceleration processing module before being sent to an algorithm library.
7. The intelligent integrated urban rail train detection system fusion host computer according to claim 1, characterized in that: the fusion host adopts an independent NVR card which is separated from the MPU card, and the independent NVR can store original image data information for playback and fault off-line diagnosis and analysis.
8. The intelligent integrated urban rail train detection system fusion host computer according to claim 1, characterized in that: the fusion host adopts a 6U case design, and can be configured into a 3U vehicle-mounted switch for use through splitting.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111150665.7A CN113946349A (en) | 2021-09-29 | 2021-09-29 | Intelligent comprehensive detection system fusion host for urban rail train |
| PCT/CN2022/117157 WO2023051183A1 (en) | 2021-09-29 | 2022-09-06 | Urban rail train intelligent comprehensive detection system fusion main unit |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111150665.7A CN113946349A (en) | 2021-09-29 | 2021-09-29 | Intelligent comprehensive detection system fusion host for urban rail train |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113946349A true CN113946349A (en) | 2022-01-18 |
Family
ID=79329260
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111150665.7A Pending CN113946349A (en) | 2021-09-29 | 2021-09-29 | Intelligent comprehensive detection system fusion host for urban rail train |
Country Status (2)
| Country | Link |
|---|---|
| CN (1) | CN113946349A (en) |
| WO (1) | WO2023051183A1 (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115416731A (en) * | 2022-07-20 | 2022-12-02 | 米塔盒子科技有限公司 | Integrated brake control platform suitable for railway vehicle |
| WO2023051183A1 (en) * | 2021-09-29 | 2023-04-06 | 中车南京浦镇车辆有限公司 | Urban rail train intelligent comprehensive detection system fusion main unit |
Family Cites Families (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP3254928A1 (en) * | 2016-06-10 | 2017-12-13 | Bombardier Transportation GmbH | System and method for the asset management of railway trains |
| CN110606106A (en) * | 2019-09-26 | 2019-12-24 | 北京唐智科技发展有限公司 | Comprehensive monitoring system and method for safe operation of train and fault diagnosis instrument |
| CN210591935U (en) * | 2019-09-26 | 2020-05-22 | 北京唐智科技发展有限公司 | Train safety monitoring diagnostic instrument |
| CN113946349A (en) * | 2021-09-29 | 2022-01-18 | 中车南京浦镇车辆有限公司 | Intelligent comprehensive detection system fusion host for urban rail train |
-
2021
- 2021-09-29 CN CN202111150665.7A patent/CN113946349A/en active Pending
-
2022
- 2022-09-06 WO PCT/CN2022/117157 patent/WO2023051183A1/en unknown
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2023051183A1 (en) * | 2021-09-29 | 2023-04-06 | 中车南京浦镇车辆有限公司 | Urban rail train intelligent comprehensive detection system fusion main unit |
| CN115416731A (en) * | 2022-07-20 | 2022-12-02 | 米塔盒子科技有限公司 | Integrated brake control platform suitable for railway vehicle |
Also Published As
| Publication number | Publication date |
|---|---|
| WO2023051183A1 (en) | 2023-04-06 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| WO2023051183A1 (en) | Urban rail train intelligent comprehensive detection system fusion main unit | |
| CN110958167B (en) | High-speed intelligent network control system | |
| CN110647380A (en) | Hyper-converged server system for supporting edge computing | |
| CN101006727A (en) | Distributed multi-media server system, multi-media information distribution method, program thereof, and recording medium | |
| CN113075877B (en) | Track traffic integrated monitoring system | |
| CN104320615A (en) | Intelligent video security and protection system and signal processing method thereof | |
| CN110868278B (en) | Method for dual-computer redundancy of communication front-end processor of rail transit comprehensive monitoring system | |
| CN116980569A (en) | Security monitoring system and method based on cloud computing | |
| CN110717132A (en) | Data collection method and pushing method for full-link monitoring system and related equipment | |
| CN113771915A (en) | Train fusion control system and method | |
| CN211519529U (en) | Rail transit train control system | |
| CN111262723A (en) | Edge intelligent computing platform based on modularized hardware and software definition | |
| CN109862034B (en) | Data transmission processing system, gateway and data transmission processing method | |
| CN107046647B (en) | A kind of control method of multispectral remote sensing image real-time decompression device | |
| CN106354870A (en) | Data loading method and system | |
| CN115689277B (en) | Chemical industry garden risk early warning system under cloud edge cooperation technology | |
| CN116939897A (en) | 5G power gateway and data transmission method | |
| CN114189832B (en) | Train wireless intelligent gateway system, data processing method, terminal and gateway | |
| CN112232523B (en) | Domestic artificial intelligence computing equipment | |
| CN206575442U (en) | A kind of novel integrated modularization avionics system | |
| CN112202932B (en) | Method and device for performing structured analysis on video based on edge calculation | |
| CN110254475B (en) | Train operation monitoring system | |
| CN116668415A (en) | Streaming media data processing method and system | |
| CN113992308A (en) | Motor train unit control system fusion framework | |
| CN211348466U (en) | Pantograph fault detection and analysis system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |