Research on the Integrated Detection Host System of Urban Rail Transit Trains
Journal Title: Urban Mass Transit - Year 2025, Vol 28, Issue 1
Abstract
［Objective］ In order to ensure the safe operation of urban rail transit, meet the detection requirements of track obstacles and key components such as pantograph-catenary, running gear and track, and solve problems of the detection subsystems independent of each other and the vehicle integration redundancy, it is necessary to conduct research on the integrated detection host system of trains. ［Method］ The subsystems of the active obstacle detection, pantograph-catenary detection, running gear detection, and track geometry dynamic detection are designed in an integrated way, and an integrated detection host system is proposed. Specifically, the active obstacle detection subsystem is directly connected to the AI (artificial intelligence) board of the integrated host through a switch, and each of other subsystems is first connected to a front-end host for data preprocessing, and then connected to the AI board of the integrated host through a switch. ［Result & Conclusion］ The proposed system can monitor the real-time running status and operating environment of the train, promptly detect potential safety hazards and issue early warnings, thus providing guarantees for the safe operation of urban rail transit. Compared with other existing independent detection subsystems, the proposed one breaks down the barriers between detection subsystems and simplifies the vehicle integration. It can alleviate the on-board equipment redundancy, save the overall power consumption of the train, reduce system costs, ultimately improving system compatibility and extensibility, as well as the efficiency of system configuration, maintenance and monitoring.
Authors and Affiliations
Zhi CHEN, Hongqiang LYU
Keywords
Related Articles
- EP ID EP755032
- DOI 10.16037/j.1007-869x.2025.01.055
- Views 21
- Downloads 0
Type Selection and Unification of Urban Rail Transit Train Basic Braking Device
Objective Selection of basic braking device (abbreviated as BBD) may affect the braking performance, running performance and operating cost of urban rail transit trains. Targeting the characteristics of wide variety, dif...
Prediction Model of Metro Traction Power Consumption Based on Grey Neural Network
Objective In order to improve train operational efficiency, it is necessary to monitor metro traction power consumption and establish a relevant energy consumption model for prediction analysis of metro traction power co...
Metro Station Platform Width Design Method and Influencing Factors Analysis Based on Simulation Tests
[Objective] The current design calculation methods for platform width suffer from issues such as low passenger flow prediction accuracy, broad range of passenger flow density parameter values, unclear selection criteria,...
Calculation of Shield Tunneling Response Based on Subloading Cam-Clay Model
［Objective］ During shield tunneling in water-rich soft strata, ground deformation is often influenced by the combined effects of soil strength, deformation, and permeability characteristics. The time effect caused by p...
Research on Collision Simulation Modeling Technology and Crashworthiness of Trams
［Objective］ Given that trams share rights of road with ground vehicles, the frequent occurrence of collisions between ground passenger vehicles and trams necessitates research into tram collision simulation modeling te...