Research on an Intelligent Inspection Perception and Alarm System for Urban Rail Transit Based on Web+MongoDB+VsFTP
(China Railway Siyuan Survey and Design Group Co., Ltd., Wuhan 430063, China)
Abstract
This study aims to develop an intelligent inspection perception and alarm system based on Web+MongoDB+ VsFTP to enhance the operation and maintenance efficiency of urban rail transit. The system integrates functions for data reception, display, storage, and forwarding. It can receive and display data collected by intelligent inspection robots in urban rail transit in real time and store it in a MongoDB database. The system possesses data validation capability to ensure data integrity and accuracy. At the same time, the system supports data sharing, enabling data to be forwarded to other upper-level systems and accessed by users within the network. Furthermore, the system also provides data management and defect display functions, allowing users to conveniently manage data and quickly locate defect positions through the Web interface. Practice has proven that the designed system effectively promotes the development of inspection and monitoring technologies in urban rail transit and significantly enhances the guarantee capabilities of operation and maintenance.
Keywords
urban rail transit; intelligent inspection perception and alarm system; intelligent inspection robot
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Funding
Key R&D Program of Jiangxi Province (20212BBE51010)
About the authors
Meng Qingyu (1992-), male, Han nationality, from Shaoyang, Hunan, engineer, master's degree, research direction: intelligent inspection robot for urban rail transit.