Abstract

Structural health monitoring is a topic of great concern in the world, and tunnel deformation monitoring is one of the important tasks. With the rapid developments in tunnel traffic infrastructure construction, engineers need a portable and real-time system to obtain the tunnel deformation during construction. This paper reports a novel method based on laser and machine vision to automatically measure tunnel deformation of multiple interest points in real time and effectively compensate for the environment vibration, and moreover it can overcome the influence of a dusty and dark tunnel environment in low visibility. An automatic and wireless real-time tunnel deformation monitoring system, which is based on laser and machine vision and can give early warnings for tunnel collapse accidents, is proposed. The proposed system uses a fixed laser beam as a monitoring reference. The image acquisition modules mounted on the measured points receive the laser spots and measure the tunnel accumulative deformation and instantaneous deformation velocity. Compensation methods are proposed to reduce measurement errors caused by laser beam feasibility, temperature, air refraction index, and wireless antenna attitude. The feasibility of the system is verified through tunnel tests. The accuracy of the detection system is better than 0.12 mm, the repeatability is less than 0.11 mm, and the minimum resolution is 10 μm; therefore, the proposed system is very suitable for real-time and automatic detection of tunnel deformation in low visibility during construction.

Highlights

  • Structural health monitoring plays an indispensable role in diagnosing structure safety around the world [1], and tunnel deformation monitoring is one of the important tasks [2]

  • This paper presents a novel method based on laser and machine vision to automatically measure tunnel deformation of multiple interest points in real time and effectively compensate for the environment vibration, and, it can overcome influence of dusty and dark environments in low visibility

  • An automatic and wireless real-time tunnel deformation monitoring system that is based on laser and machine vision, and can give early warnings for tunnel collapse accidents, is proposed

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Summary

Introduction

Structural health monitoring plays an indispensable role in diagnosing structure safety around the world [1], and tunnel deformation monitoring is one of the important tasks [2]. With the continuous expansion of the scale of tunnel traffic infrastructure construction, tunnel collapse accidents have occurred frequently in recent years [3]; this indicates that the traditional methods for monitoring tunnel deformation are unable to meet the new safety monitoring requirements for large tunnel traffic infrastructure [4], when real time becomes an important issue. Numerous workers are present on the excavation surface with dusty and dark environment in low visibility [5], and the tunnel. Sci. 2018, 8, 2579 deformation is at a maximum; monitoring the deformation of this fracture surface in real time is important. The current tunnel deformation monitoring technology, including non-machine vision measurement methods and machine vision measurement methods [6], is not effective enough

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