EP-4737265-A1 - MULTI-POST COLLABORATIVE HANDLING SYSTEM AND METHOD FOR FULLY-AUTOMATED UNMANNED DRIVING, AND DEVICE

EP4737265A1EP 4737265 A1EP4737265 A1EP 4737265A1EP-4737265-A1

Abstract

The present disclosure relates to a multi-post collaborative handling system for fully automated unmanned driving, a method, as well as a device. The system includes a data interface module, configured to receive information about a key fault and an incident of fully automatic unmanned driving line, as well as real-time train location in real time; a fault impact analysis module, configured to analyze which personnel from specific locations and posts are required to participate in collaborative fault handling in real time; a fault contingency plan management module, configured to provide fault emergency handling guidance and state and operation information of key equipment according to a fault condition; a collaborative handling team management module, configured to supervise personnel at key operation posts in real-time and automatically create a collaborative handling team according to the fault condition; and a safety control module, configured to supervise and guarantee whether a key operation in an emergency handling process in executed timely and properly in real-time. Compared with the prior art, the present disclosure has the advantages of improving collaboration and fault emergency handling efficiency of key posts in a fully automated operation line, as well as enhancing operation safety and reliability, and the like.

Inventors

PEI, Jiafu
ZHANG, Bingjian
HU, Enhua
LIN, LI
BAO, Liangqiang
ZHANG, BINGFENG
YANG, CHANGFENG
GUO, JIAFENG

Assignees

Casco Signal Ltd.

Dates

Publication Date: 20260506
Application Date: 20240828

Claims (16)

A multi-post collaborative handling system for fully automatic unmanned driving, comprising: a data interface module (1), connected to signal system, vehicle system and comprehensive monitoring system respectively, and configured to receive information about key faults and an incidents of fully automatic unmanned driving line and real-time train location in real time; a fault impact analysis module (2), connected to the data interface module (1) and configured to analyze which personnel from specific locations and posts are required for collaborative handling of the fault in real time; a fault contingency plan management module (3), connected to the fault impact analysis module (2) and configured to provide fault emergency handling guidance and state and operation information of key equipment according to a fault condition; a collaborative handling team management module (4), connected to the fault impact analysis module (2) and configured to supervise personnel at key operation posts in real time and automatically create a collaborative handling team according to the fault condition; a safety control module (5), connected to the fault impact analysis module (2) and configured to supervise and guarantee whether key operation in an emergency handling process is executed timely and properly in real time; an instant communication management module (6), connected to the fault contingency plan management module (3), the collaborative handling group management module (4) and the safety control module (5) separately and configured to release shared information, as well as information about fault handling progress and fault-related equipment state to the collaborative handling team in real time.
The multi-post collaborative handling system for fully automatic unmanned driving according to claim 1, wherein the data interface module (1) is configured to sense and collect a fault and an incident of the key equipment that affect the operation of the fully automatic unmanned driving line in real time and to write information of the fault and the incident of the key equipment into a dedicated real-time database.
The multi-post collaborative handling system for fully automatic unmanned driving according to claim 1, wherein the fault impact analysis module (2) integrates information of the signal system, the vehicle system and an electric power system, and is configured to accurately position fault location and to analyze which personnel from specific locations and professional posts are required for collaborative handling, wherein the fault location comprises stations, sections, and depots.
The multi-post collaborative handling system for fully automatic unmanned driving according to claim 1, wherein the fault contingency plan management module (3) is configured to provide a matched dynamic contingency plan flow according to fault location information, and the flow integrates and displays fault-related state information and necessary control functions, and performs safety supervision and reliability guarantee in a contingency plan handling process.
The multi-post collaborative handling system for fully automatic unmanned driving according to claim 1, wherein the fault contingency plan management module (3) has an interactive fault elimination contingency plan guidance process, which supports manual selection or input of key information for a scenario requiring manual determining and provides next-step handling suggestion information according to human-computer interaction information.
The multi-post collaborative handling system for fully automatic unmanned driving according to claim 1, wherein the collaborative handling team management module (4) is configured to manage the personnel at the key operation posts across the entire line, comprising information of professional fields to which personnel of each post belong, a work location, whether the personnel are on duty and online, and control permission each post possesses.
The multi-post collaborative handling system for fully automatic unmanned driving according to claim 6, wherein the personnel at the key operation posts comprise train operation dispatchers, electric power dispatchers, train dispatchers, and environmental control dispatchers in operational control center (OCC); shift supervisors and duty operators in station control room; station patrol inspectors for station platform; and train operating personnels responsible for a fully automatic train.
The multi-post collaborative handling system for fully automatic unmanned driving according to claim 6, wherein the personnel at the key operation posts perform collaborative handling relying on personal computer (PC) workstations or mobile terminal devices, wherein the mobile terminal device is connected to a long-term evolution (LTE) comprehensive bearer network.
The multi-post collaborative handling system for fully automatic unmanned driving according to claim 1, wherein the safety control module (5) is configured to supervise in real time whether the key operation is executed timely and properly; if passenger entrapment by platform screen door occurs at station and station staff fail to activate an emergency stop push (ESP) button timely, the safety control module (5) is configured to remind the collaborative handling team to activate the ESP button in time and execute platform train detention operation.
The multi-post collaborative handling system for fully automatic unmanned driving according to claim 1, wherein the instant communication management module (6) supports cross-network PCs and mobile terminal devices, supports the sharing of picture, text, voice, and video information, and supports the control of the size and upload speed of the shared video and picture, simultaneously.
A method employing the multi-post collaborative handling system for fully automatic unmanned driving according to claim 1, comprising the following steps: step S1. collecting, by a data interface module (1), faults and operation incidents of key equipment that seriously affect the operation of fully automatic unmanned driving line in real time and to write the fault and operation incident into a dedicated real-time database; step S2. analyzing, by a fault impact analysis module (2), fault impact range in real time according to fault equipment information and fault location information, and accurately analyzing posts and personnel required for collaborative fault handling; step S3. supervising and managing, by a collaborative handling team management module (4), personnel at key posts in real time, and automatically creating a collaborative handling team according to fault specialty and location information after the fault occurs; step S4. providing, by a fault contingency plan management module (3), fault handling contingency plan for the collaborative handling team management module (4) according to fault equipment specialty and fault location information, and performing safety supervision and reliability guarantee in a contingency plan execution process; step S5. performing, by the collaborative handling team management module (4), collaborative handling according to the fault handling contingency plan provided by the fault contingency plan management module (3), wherein handling information is shared in real time among members during the handling process; and step S6. supervising, by a safety control module (5), whether a key operation is executed timely and properly in real time, and supervising and controlling a result obtained after fault processing is completed.
The multi-post collaborative handling method for fully automatic unmanned driving according to claim 11, wherein in the step S2, accurately analyzing posts and personnel required for collaborative fault handling specifically comprises: step S21. setting station, depot, and train as areas to which a fault belongs, defining the areas as a unique Zone; and identifying the Zone to which the fault belongs when the fault occurs; step S22. setting a Zone field in each category of fault alarm information for recording the station or train to which the fault belongs; setting a Zone_Relative field in each category of fault alarm for dynamically calculating which other areas are required to be notified and involved in the collaborative handling of the fault; step S23. calculating, based on real-time train position and train number window information sent by automatic train supervision (ATS), sections, stations, and depots range where the train is located, as well as whether the train is docked at platform in real time; step S24. if the train is in serious fault in the operation process and requires trackside station personnel for collaborative handling, setting the Zone_Relative of the fault as the Zone for vehicle operation or the Zone for a station where the train is docked. step S25. if trackside station is in serious fault and requires train operating personnel for collaborative handling, setting the Zone_Relative of the fault as the Zone for the train operating in a station area; step S26. determining collaborative handling members according to the Zone and the Zone_Relative, and automatically creating a collaborative handling team.
The multi-post collaborative handling method for fully automatic unmanned driving according to claim according to claim 12, wherein the collaborative handling members comprise, by default, central functional dispatchers responsible for the specialty to which the equipment fault belongs; and if signal system is failed, the collaborative handling members comprise train operation dispatchers.
The multi-post collaborative handling method for fully automatic unmanned driving according to claim according to claim 11, wherein the safety control module (5) in the step S6 comprises a specific process as follows: step S61. establishing a safety control module and rules according to a fully automatic operation scenario; step S62. establishing a safety control execution reasoning machine, and when a serious fault is triggered and a collaborative handling team is established, automatically loading the safety control model for the fault scenario; step S63. supervising key operation in real time according to the safety control rules subscribed for the fault scenario; step S64. when the key operation is not executed timely, calling the instant communication module timely to broadcast a supervision result to the collaborative handling team and reminding in-time execution; step S65. after fault handling is completed, comprehensively inspecting real-time status information of fault-related equipment, and outputting control result as one of important conditions for a final completion of fault handling.
An electronic device, comprising a memory on which a computer program is stored and a processor, wherein the processor, when executing the program, is configured to implement the method according to any one of claims 11 to 14.
A computer-readable storage medium, on which a computer program is stored, wherein the program, when executed by a processor, is configured to implement the method according to any one of claims 1 to 7.

Description

TECHNICAL FIELD The present disclosure relates to a train signal control system, and in particular to a multi-post collaborative handling system and method for fully automatic unmanned driving, as well as a device. BACKGROUND In recent years, fully automatic unmanned driving projects in urban rail transit have developed vigorously, and more and more lines in China have adopted the fully automatic unmanned driving mode for construction and operation. Fully automatic unmanned driving vehicles no longer have drivers on board, and the responsibilities of the drivers have transfered to the dispatchers in the operational control center (OCC). To better serve passengers and enable rapid fault handling in case of faults or emergencies, attendant are still assigned to the trains on fully automatic unmanned driving line, with main responsibilities of emergency handling of train faults, rapid response to passenger needs, and manual operation of trains in special scenarios. The application of fully automatic unmanned driving technology has significantly improved tracking interval, operational efficiency, and so on. However, currently, collaborative fault handling among the central operation dispatchers, duty operators in a station control room, station patrol inspector and train attendant relies primarily on inter-phones. Moreover, emergency fault handling primarily relies on paper-based emergency fault handling guidelines. As a result, the overall emergency fault handling efficiency is relatively low, and there is risk of misoperation during the fault handling process, leading to a wider impact scope. After searching, a mobile on-duty assistance apparatus and method for a fully automatic unmanned vehicle is disclosed in Chinese Patent Publication No. CN116039722A, which specifically includes: a vehicle data acquisition unit that accesses data of a fully automatic operation vehicle and trackside key operation information; a vehicle data processing unit, which is configured to unify the collected data, write the data into a real-time database, and generate a fault alarm according to status information; a vehicle data analysis unit, which is configured to perform fused analysis on the collected and processed data, and perform positioning, cause analysis and influence analysis on complex fault; a portable on-duty unit, which is configured to obtain key fault and operation information related to the vehicle in real time, allow an on-duty person to quickly and actively acquire operation information of the fully automatic vehicle, and provide related troubleshooting guidance; a long-term evolution (LTE) communication unit, which is configured to communicate with the portable on-duty unit through the LTE network, and push key faults and operation information of the vehicle, a station, etc. to the portable on-duty unit. However, the existing patent does not involve a multi-position collaborative handling technology in the fully automatic unmanned driving. Therefore, how to improve emergency fault handling efficiency and operational safety and reliability for the fully automatic operation line has become a technical problem that needs to be solved. SUMMARY An objective of the present disclosure is to provide a multi-post collaborative handling system for fully automatic unmanned driving, a method as well as device to overcome defects in the prior art, thereby greatly improving collaboration and fault emergency handling efficiency of key posts in fully automated operation line, as well as enhancing operation safety and reliability. The objective of the present disclosure is implemented through the following technical solutions: According to a first aspect of the present disclosure, a multi-post collaborative handling system for fully automatic unmanned driving is provided, which includes: a data interface module, connected to signal system, vehicle system and comprehensive monitoring system respectively, and configured to receive information about key fault and an incident of fully automatic unmanned driving line and a real-time train location in real time;a fault impact analysis module, connected to the data interface module and configured to analyze which personnel from specific locations and posts are required for collaborative handling of the fault in real time;a fault contingency plan management module, connected to the fault impact analysis module and configured to provide fault emergency handling guidance and state and operation information of key equipment according to fault conditiona collaborative handling team management module, connected to the fault impact analysis module and configured to supervise personnel at key operation posts in real time and automatically create a collaborative handling team according to the fault condition;a safety control module, connected to the fault impact analysis module and configured to supervise and guarantee whether key operation in an emergency handling process is executed timely a