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Measuring the interstory drift of buildings by a smartphone using a feature point matching algorithm
Author(s) -
Li Jinke,
Xie Botao,
Zhao Xuefeng
Publication year - 2020
Publication title -
structural control and health monitoring
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.587
H-Index - 62
eISSN - 1545-2263
pISSN - 1545-2255
DOI - 10.1002/stc.2492
Subject(s) - robustness (evolution) , displacement (psychology) , engineering , feature (linguistics) , structural health monitoring , accelerometer , matching (statistics) , video monitoring , point (geometry) , real time computing , algorithm , computer vision , simulation , computer science , structural engineering , mathematics , linguistics , philosophy , statistics , geometry , psychology , biochemistry , chemistry , psychotherapist , gene , operating system
Summary When an earthquake strikes an area, unless the local infrastructure has a structural health monitoring system, it is difficult to obtain its health condition due to a lack of data. A smartphone could be competently used for many monitoring tasks to gather large amounts of data at a low cost. In this study, a smartphone is used as a sensor to obtain the interstory drift of buildings by recording a video of the ceiling with the front camera using a feature point matching algorithm. In addition, static and dynamic tests were carried out. In the static tests, the precision and error were investigated and compared with the reference sensor. In the dynamic tests, the displacement under a seismic wave was acquired by a smartphone and compared with the reference sensor, and the illumination condition was varied to test the robustness of the algorithm. The results indicated that feature point matching was suitable for calculating the displacement, and the smartphone was competent in monitoring the interstory drift during an earthquake.