Open AccessAn edge-computing-based sensing system for geo-structure risks
Author(s) -
Ruida Huang,
Yiqun Fan,
Yi Liu
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/703/1/012039
Subject(s) - computer science , enhanced data rates for gsm evolution , risk management , edge computing , set (abstract data type) , risk assessment , risk analysis (engineering) , computer security , artificial intelligence , business , finance , programming language
With the advancement of geo-structures (including tunnels and underground space projects), risk management strategy has been developing rapidly in China since the 1990s. Its current practice, however, mainly focuses on the assessment of structures with qualitative or quantitative method. Currently, less attention is paid to risk control, which results in the lagged response to risk events. In this paper, risk management strategy of geo-structures at operation stage is discussed. Furthermore, an edge-computing-based risk sensing system, mainly based on image recognition, consisting of a set of cameras, edge gateways and wireless network, is proposed. The system offers real-time monitoring for structural and operational performance, and edge computing to sense early risks within geo-structures. A preliminary test of the system has been conducted.