
Proceedings Paper
GroundEye: a mobile crowdsourcing structure seismic response monitoring system based on smartphoneFormat | Member Price | Non-Member Price |
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Paper Abstract
In general, the distance between the seismic stations is above 100 km and this distance is not small enough for monitoring the structural seismic response. As a result, crowdsourcing will be a good method to acquire the structural seismic response. Nowadays, the smartphone has been popularized and integrates different sensors. Based on the past work, a structure seismic response monitoring system named GroundEye based on smartphones is proposed. Here is the framework of the system. First, people can use software on the smartphone to acquire the structural seismic response parameters including acceleration, the inter-story drift, strain when the seismic comes. Beside the structural seismic response parameters mentioned above, the picture of the buildings and cracks after the seismic could also be taken so that the cracks could be recognized through the deep learning algorithms. Second, these data will be uploaded to the database to draw the intensity map. Third, these structural seismic response parameters monitored will be the database to assess the damage level of buildings. As mentioned above, the GroundEye can collect vast data in the earthquake monitoring fast within a large area with very low cost. And it will be very useful for identifying the health quality of the buildings.
Paper Details
Date Published: 1 April 2019
PDF: 7 pages
Proc. SPIE 10972, Health Monitoring of Structural and Biological Systems XIII, 109721Q (1 April 2019); doi: 10.1117/12.2514905
Published in SPIE Proceedings Vol. 10972:
Health Monitoring of Structural and Biological Systems XIII
Paul Fromme; Zhongqing Su, Editor(s)
PDF: 7 pages
Proc. SPIE 10972, Health Monitoring of Structural and Biological Systems XIII, 109721Q (1 April 2019); doi: 10.1117/12.2514905
Show Author Affiliations
Xuefeng Zhao, Dalian Univ. of Technology (China)
Jinke Li, Dalian Univ. of Technology (China)
Ruicong Han, North China Univ. of Water Resources and Electric Power (China)
Jinke Li, Dalian Univ. of Technology (China)
Ruicong Han, North China Univ. of Water Resources and Electric Power (China)
Published in SPIE Proceedings Vol. 10972:
Health Monitoring of Structural and Biological Systems XIII
Paul Fromme; Zhongqing Su, Editor(s)
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