一种面向轨道交通监测项目的多源监测系统
By constructing a master data hierarchy and a multi-source monitoring system with three-anchor alignment, the problems of low data access efficiency and insufficient traceability in rail transit monitoring have been solved. This has enabled the data to be trusted and controllable throughout its entire lifecycle, reduced costs and risks, and enhanced the verifiability of asset management.
Patent Information
- Application Number
- CN202610499499.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2026-04-16
- Publication Date
- 2026-07-17
- Estimated Expiration
- 2046-04-16
AI Technical Summary
Existing technologies in rail transit monitoring suffer from low efficiency in multi-source data access, alignment, sharing, and regulatory linkage. Data asset management is difficult to verify and trace, and there is a lack of engineering-based closed loops, resulting in problems such as data heterogeneity, unreliability, difficulty in traceability, high risk, and high cost.
A multi-source monitoring system for rail transit monitoring projects is constructed. A master data hierarchy structure is established through the maintenance and management module, semantic templates are configured, and the automatic construction and three-anchor alignment (time, space, and process) of the data acquisition link are realized. Data governance and evidence-based asset encapsulation are carried out. Combined with finite state machines and linkage authorization modules, the real-time, reliable and controllable flow of data is realized.
It significantly improves the reliability of multi-source monitoring data access and asset verifiability, reduces the cost of manual on-site monitoring, ensures the reliability and controllability of data throughout its entire lifecycle from collection to delivery, solves the core pain points of data heterogeneity, unreliability, difficulty in traceability, high risk, and high cost, and achieves an engineering closed loop.
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Figure CN122022743B_ABST
Abstract
Citation Information
Patent Citations
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