SPEPC TECHNOLOGY

Solution

Tunnel Deformation Monitoring and Early Warning Solution

Background Introduction

Tunnels are a critical component of transportation infrastructure, and their structural integrity directly affects the safe operation of railways and highways as well as the safety of personnel.

During both construction and operation, tunnels are susceptible to various forms of deterioration—such as lining deformation, crack propagation, crown settlement, and peripheral convergence—due to factors including geological conditions, stress release in the surrounding rock mass, groundwater infiltration, train-induced vibrations, and disturbances from adjacent construction activities.

Traditional manual inspections and total‑station surveys suffer from low monitoring frequency, incomplete coverage, discontinuous data, and delayed early warning, making it difficult to capture the dynamic evolution of tunnel structural deformations and their early indicators.

Therefore, the development of an automated, high-precision, all‑weather tunnel deformation monitoring and early‑warning system—capable of real-time sensing of key parameters such as lining deformation, deep‑buried rock mass displacement, and structural vibration, along with intelligent early warning—has become an urgent necessity for ensuring tunnel structural safety and preventing major disasters.

Solution Overview

This scheme constitutes an automated tunnel deformation monitoring and early-warning system that integrates non-contact visual monitoring, array-based deep‑level displacement monitoring, and multi‑point crack and tilt monitoring.

The system deploys visual intelligent deformation monitoring instruments (or array-type extensometers), crack meters, inclinometers, and static leveling instruments at critical cross‑sections of the tunnel lining to acquire real‑time data on crown settlement, peripheral convergence, lining crack widths, structural inclination, and deep‑buried surrounding rock displacements.

Data is transmitted via 4G, LoRa, fiber-optic, and other communication methods to a cloud-based monitoring and early-warning platform. The platform incorporates deformation‑trend analysis models and tiered warning rules, automatically determining whether the deformation rate or cumulative displacement exceeds threshold limits.

When monitoring data deviates from normal ranges, the system issues early warnings through multiple channels—including SMS messages, platform pop-up alerts, and on-site audio‑visual alarms—providing a scientific basis for tunnel maintenance, safety assessments, and emergency response.

FEATURES OF THE SOLUTION

Multi-point non-contact monitoring

Multi-point non-contact monitoring

The visual‑intelligence deformation monitoring device can simultaneously track more than ten targets, enabling multi‑point synchronous measurements of tunnel cross‑sections. It features non‑contact installation, ensuring no disruption to traffic flow.
Deep Rock Mass Displacement Monitoring

Deep Rock Mass Displacement Monitoring

Array-type extensometers can measure subsurface displacements at multiple depths within the surrounding rock, with sub-millimeter accuracy, enabling the detection of deep-seated slip surfaces and changes in the loosening zone.
High-Precision Crack and Inclination Monitoring

High-Precision Crack and Inclination Monitoring

The crack meter has a resolution of ≤0.02% FS, and the inclinometer boasts an accuracy of ±0.05°, enabling real-time monitoring of crack propagation in the lining and changes in structural inclination.
24/7 automated operation

24/7 automated operation

The device supports solar or grid power, enables 24/7 continuous data acquisition, and automatically uploads data without any manual intervention.
Multi-level Intelligent Early Warning

Multi-level Intelligent Early Warning

The platform supports multi-level threshold settings for deformation rate and cumulative displacement, automatically sends early warning notifications when thresholds are exceeded, and triggers on-site alarms.

 

System Architecture

The system employs a mature and robust three-tier IoT architecture, characterized by clear layering and reliable operation:

Perception Layer
It comprises an integrated array of smart sensing devices—such as inclinometers, crack meters, static leveling instruments, and vibration sensors—deployed on the building’s load-bearing walls, beams, columns, foundations, and adjacent retaining walls, responsible for acquiring real-time raw data on structural deformation, settlement, and vibration.

Network layer

By leveraging public or private wireless communication networks such as 4G, NB‑IoT, and LoRa, a low‑power, highly reliable uplink channel is established to securely and reliably transmit data from the perception layer to the cloud server.

Data Application Layer

The cloud-based monitoring and early-warning platform is responsible for data reception, storage, analysis, visualization, and the issuance of alerts. The platform offers real-time monitoring, historical data retrieval, trend analysis, alert‑rule configuration, device management, and system administration, while providing administrators with a user-friendly interface via both a web portal and a mobile app.

System platform

By deploying automated intelligent monitoring terminals, key structural data—including building tilt, crack patterns, and settlement—are collected in real time for both the buildings and their associated retaining walls.

The backend data management platform performs intelligent analysis of multi-source monitoring data, conducts trend assessments and disaster forecasting, and automatically pushes tiered early-warning notifications to relevant management personnel.

System Implementation 7×24 Hourly, round-the-clock, all‑round dynamic monitoring enables users to track the deformation and structural health of buildings anytime, anywhere, providing a scientific basis for early warning, preventive measures, and maintenance management of housing structures and retaining walls.

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