Real-time on-site structural safety assessment of metro tunnel linings via WSN and edge computing

Document Type

Journal Article

Publication Date

2026

Subject Area

infrastructure - maintainance, mode - subway/metro, place - asia

Keywords

Metro, tunnel, real-time safety assessment

Abstract

Edge computing mitigates the latency of traditional “on-site acquisition–off-site processing” workflows, enabling real-time structural safety assessment. This paper develops an edge-computing-based safety assessment system for shield tunnel linings, integrating sensors, inspection technologies, wireless sensor networks, and edge gateways. Coordinated gateway–sensor communication enables on-site data fusion and standardized processing for variable-weight fuzzy assessment. A lookup-table-based membership function achieved a 79× acceleration, 74 % lower memory use, and 34 % lower energy consumption. A lightweight multithreaded architecture improved image pre-processing by 60 %, while an optimized Kalman filter reduced latency and energy by 20 % and 36 %, respectively. A simplified Seasonal-Trend decomposition using Loess (STL)-ARIMA model enhanced forecasting efficiency by 14 %. Validated on Shanghai Metro Line 2 in China, the system enabled zone-level assessments within 243 s. By integrating edge-compatible algorithms with domain-specific structural knowledge, the framework provides a scalable, energy-efficient, and adaptive solution for long-term intelligent maintenance of shield tunnels and similar infrastructure systems.

Rights

Permission to publish the abstract has been given by Elsevier, copyright remains with them.

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http://www.sciencedirect.com/science/journal/09265805

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