| Title |
Development Research of Smart Monitoring Sensor for Tunnel Collapse Detection |
| Authors |
김다빈(Kim, Da Been) ; 정인근(Jung, In Keun) ; 공정식(Gong, Jeong Sik) |
| DOI |
https://doi.org/10.12652/Ksce.2025.45.2.0259 |
| Keywords |
터널 붕락; 안전; 실시간 모니터링; 지능형센서; 실시간 경보;Tunnel collapse; Safety; Real-time monitoring; Intelligent sensor; Real-time warning |
| Abstract |
With the development of domestic industries, the construction of infrastructure has increased, and due to the geographical characteristics of Korea, tunnel construction has also risen. Tunnel collapses are difficult to predict and respond to, leading to unavoidable reinforcement work, increased construction difficulty, and potentially leading to worker casualties. Various measures have been implemented for structural monitoring and accident prevention in tunnels. However, the development of sensor-based collapse monitoring technologies and real-time hazard warning systems remains insufficient. This study developed an intelligent sensor that performs multiple functions for tunnel collapse detection and deformation of tunnel shape, including micro-vibration measurement and FFT analysis of tunnel structures. To detect and classify precise collapse risk data within the tunnel, field tests were conducted to collect and analyze the data.
To proactively prevent disasters and ensure worker safety, a real-time data measurement and analysis system, along with a risk warning algorithm for detecting danger signals, were developed and implemented in the intelligent sensor firmware. Through the development of such intelligent sensors, it is anticipated that real-time monitoring of on-site hazardous situations and the provision of decision-making data will strengthen the capabilities of construction safety management. |