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Unmanned train control system and control method based on cloud-edge collaboration

A train control system and unmanned driving technology, applied in the field of unmanned train control systems, can solve the problems of ineffective use of expert knowledge data, poor self-healing ability, etc., and achieve the effect of improving anti-interference ability and self-healing ability

Active Publication Date: 2022-04-01
CHONGQING JIAOTONG UNIVERSITY
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Problems solved by technology

[0004] Aiming at the problem of the background technology, the present invention provides an unmanned train control system based on cloud-edge collaboration, and also provides a control method for the above-mentioned control system to solve the problem that the automatic driving of trains in the prior art is affected by the external environment and The impact of fault interference is large, the self-healing ability is poor, and the expert knowledge data cannot be effectively used

Method used

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  • Unmanned train control system and control method based on cloud-edge collaboration
  • Unmanned train control system and control method based on cloud-edge collaboration
  • Unmanned train control system and control method based on cloud-edge collaboration

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Embodiment Construction

[0042] The present invention will be further described below in conjunction with embodiment.

[0043] as attached figure 1 The shown unmanned train control system based on cloud-side collaboration includes a central cloud computing unit, a train control dispatching center, a distributed data acquisition unit, multiple edge cloud computing units, and multiple trains;

[0044] as attached figure 2 The shown central cloud computing unit includes a database module, a deep learning module, an evaluation module and a central communication module;

[0045] The database module is used to store and supplement expert knowledge data. When the supplementary quantity of expert knowledge data reaches a set threshold, the database module can also transmit the supplemented expert knowledge data to the deep learning module; the expert knowledge Including the automatic driving data of trains with better running effects and the manipulation data of excellent drivers;

[0046] The deep learni...

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Abstract

The present invention provides an unmanned train control system based on cloud-edge collaboration, characterized in that: the control system includes a central cloud computing unit, a train control dispatching center, a distributed data acquisition unit, multiple edge cloud computing units and multiple trains; a control method according to the above control system is also provided, characterized in that: the central cloud computing unit constructs an available deep learning model and sends it to each edge cloud computing unit, and the edge cloud computing unit is based on the distributed data acquisition unit The obtained state data adopts the "dual-mode working mode" to control the deep learning model module or the intelligent algorithm module to obtain the driving gear manipulation sequence or the intelligent driving curve to control the automatic driving of the train. The control system and control method of the present invention can effectively utilize expert knowledge data and improve the anti-interference ability and self-healing ability of the train.

Description

technical field [0001] The invention relates to the technical field of transportation, in particular to an unmanned train control system based on cloud-edge collaboration and a control method thereof. Background technique [0002] With the use of artificial intelligence technology in rail transit, unmanned train technology has been more widely used. Most of the existing unmanned train control modes use bionic intelligent calculation to generate the automatic driving curve of the train to control the operation of the train. All kinds of interference, such as track equipment, power supply system failure, rain, fog and other bad weather, sudden geological disasters, etc. will cause interference to the operation of the train. These interference factors occur randomly and irregularly, which will increase the running time of the train section , or the train stops for a short time, or the speed limit of the train is required to pass the fault zone, etc., so that the operation of t...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F9/50G06N3/04G06N3/08B61L27/04B61L23/08
CPCG06F9/5072G06N3/08B61L23/08B61L27/04G06N3/045
Inventor 徐凯涂永超吴仕勋黄大荣张生军
Owner CHONGQING JIAOTONG UNIVERSITY
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