Simulation of Smartphone-Based Public Participation in Earthquake Structural Response Emergency Monitoring Using a Virtual Experiment and AI

被引:6
|
作者
Li, Huan [1 ]
Chen, Xixian [1 ]
Chen, Hongliang [1 ]
Wang, Bowen [1 ]
Li, Weijie [1 ,2 ]
Liu, Shenglan [3 ]
Li, Peng [4 ,5 ]
Qi, Zuoqiu [6 ]
He, Zheng [1 ,2 ]
Zhao, Xuefeng [1 ,2 ,5 ]
机构
[1] Dalian Univ Technol, Fac Infrastruct Engn, Sch Civil Engn, Dalian 116024, Peoples R China
[2] Dalian Univ Technol, Fac Infrastruct Engn, State Key Lab Coastal & Offshore Engn, Dalian 116024, Peoples R China
[3] Dalian Univ Technol, Sch Innovat & Entrepreneurship, Dalian 116024, Peoples R China
[4] Dalian Univ Technol, Fac Humanities & Social Sci, Sch Humanities, Dalian 116024, Peoples R China
[5] Dalian Univ Technol, Dalian Inst Natl Res Smart Governance Communities, Dalian 116024, Peoples R China
[6] Liaoning Prov Inst Safety & Sci, Shenyang 110004, Peoples R China
关键词
earthquake; structural health monitoring; smartphone; crowdsensing; Unity; virtual experiment; MOBILE; WIRELESS; DEMANDS;
D O I
10.3390/buildings12040492
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Structural health monitoring (SHM) is of great significance for post-earthquake damage assessment. Smartphone-based monitoring techniques provide the possibility to perform crowdsensing for all buildings in urban regions after an earthquake. However, this idea still faces many difficulties and is hard to realize. Fortunately, the development of game engines provides the opportunity for simulating this kind of experiment. The main objective of this study was to use Unity to simulate the whole process when a city is struck by an earthquake that consists of one main shock and one aftershock. During the emergency response, the citizens and the "city brain" in Unity, named Ground Eye, cooperate to finish the task of taking refuge and collecting data for regional damage assessment. Some basic assumptions were made first. Then the city model was established in Unity, and the behaviors of the citizens were directed by the behavior tree artificial intelligence (AI). OpenSees was utilized to determine the monitoring demand and simulate the monitoring results. A GUI was built to exhibit the data during the whole process. The results show that the evacuation and monitoring plan is feasible. The simulation framework presented in this paper can be used in other SHM application scenarios.
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页数:23
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