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Integration Research on Next Generation Comprehensive Monitoring System for Urban Underground Infrastructure Operation
- Source :
- Chengshi guidao jiaotong yanjiu, Vol 27, Iss 7, Pp 312-317 (2024)
- Publication Year :
- 2024
- Publisher :
- Urban Mass Transit Magazine Press, 2024.
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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