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Sheng Xun Shares won the first prize of the 2022 Urban Rail Transit Science and Technology Progress Award
Time：2024-11-19
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On April 26, 2023, China Urban Rail Transit Association held the third session of the second Council and Executive Council meeting in Qingdao, and held the "2022 Urban rail Transit Science and Technology Progress Award" award ceremony. The project of "Key Technologies and Applications for Collaborative Prevention and Control of Passenger Flow Risk in Urban rail Transit Operation", which was completed by Sonxun Shares, won the first prize of the Urban Rail Transit Science and Technology Progress Award in 2022.
Award announcement
Professor Wang Yanhui (second from right), the first finisher of the project, won the first prize
Group photo
China Urban Rail Transit Association is a national association of urban rail transit industry in China. Approved by the State Office for Science and Technology Awards, China Urban Rail Transit Association set up the "Urban Rail Transit Science and Technology Progress Award" (referred to as the "Urban Rail Science and Technology Progress Award") for the national urban rail transit industry. After filling in the network, form review, recommendation review, professional review group preliminary evaluation, re-evaluation and award committee review, and through the network announcement, a total of 36 achievements won the 2022 Urban rail transit Science and Technology Progress Award, including 2 grand prizes, 16 first prizes, 18 second prizes.
Brief introduction of results
With the support of the national key research and development Plan, the key technology and application project of passenger flow risk collaborative prevention and control in urban rail transit operation, focusing on the passenger flow risk prevention and control paradigm, collaborative prevention and control technology, risk identification device and management and control platform, proposed for the first time the passenger flow status pattern characterization and risk dynamic identification and prediction method for station, section and line network classification. A typical risk scenario generation and construction technology driven by dynamic risk model set is formed, and a new paradigm of state-driven passenger flow risk prevention and control in urban rail transit operations is proposed. The passenger flow risk integration model of line network topology, train operation plan and passenger flow travel and the passenger and guide information interaction model of multi-domain cognitive integration are constructed. The bottleneck facility identification and balanced dredging method based on station evacuation network capability and passenger flow distribution characteristics are proposed. A scene adaptive passenger flow density statistical model based on texture and head detection is constructed, a method and technology for automatic passenger tracking and intelligent identification and classification of passenger flow status based on the integration of abnormal passenger behaviors and emotions is formed, and an intelligent identification equipment and control platform for passenger flow risk in urban rail transit operations is developed.
In this project, the company mainly aims at the problems to be solved in the intelligent prevention and control of passenger flow risks, overcoming the key technologies such as abnormal passenger flow behavior identification, abnormal passenger flow emotion decomposition, accurate identification of passenger flow aggregation, etc. On this basis, the company developed the risk identification device for urban rail transit, and developed the intelligent identification equipment and control platform for passenger flow risk in urban rail transit operation. The application of the device and platform has been studied, and great economic and social benefits have been obtained.
The project has 6 authorized patents, 25 papers, 2 monographs and 11 software Copyrights. The relevant research results have been successfully applied in a number of urban rail transit passenger flow risk management projects.
Technical plan and route
Risk identification and early warning of urban rail transit passenger flow risk collaborative control platform
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