Back to Search Start Over

Integration Research on Next Generation Comprehensive Monitoring System for Urban Underground Infrastructure Operation

Authors :
MENG Hongfei
Source :
Chengshi guidao jiaotong yanjiu, Vol 27, Iss 7, Pp 312-317 (2024)
Publication Year :
2024
Publisher :
Urban Mass Transit Magazine Press, 2024.

Abstract

Objective The development of urban underground space in China is showing a trend towards diversification, depth, and complexity, making it challenging to diagnose and decision-making on causative factors through multi-dimensional data integration. Therefore, there is a need to carry out research on the next generation comprehensive operation monitoring system. Method The current status of existing underground infrastructure operation monitoring systems is introduced. Based on disaster events in urban metro and underground complex, the integration of smart cities with IoT (internet of things) technology is proposed. Through data fusion with existing monitoring technologies, research is conducted on the integration of real-time perception data, control systems, and decision-making mechanisms related to urban underground infrastructure operation comprehensive monitoring platforms and existing monitoring systems. Result & Conclusion Multi-dimensional perception data fusion and unified management are achieved through unified interface bus and multi-protocol conversion technology. By integrating with existing monitoring system platforms, the intelligent identification of underground infrastructure operating status, intelligent classification and identification of various hazard sources are realized to provide intelligent diagnosis and analysis decision support. Unified security authentication technology enables the control of operator levels and dynamic configuration management of permissions.

Details

Language :
Chinese
ISSN :
1007869X and 1007869x
Volume :
27
Issue :
7
Database :
Directory of Open Access Journals
Journal :
Chengshi guidao jiaotong yanjiu
Publication Type :
Academic Journal
Accession number :
edsdoj.42191ff80b714002bdca2baf2238787c
Document Type :
article
Full Text :
https://doi.org/10.16037/j.1007-869x.2024.07.053.html