2022 Volume 3 Issue 2 Pages 19-26
This paper presents a cloud-based sensing system which is developed to store autonomously only the peak acceleration data of several buildings on the web server. The sensor unit for the proposed sensing system is also developed. The developed sensor unit consists of Raspberry Pi 3B, digital MEMS accelerometer and Low Power Wide Area (LPWA) network device. Taking advantage of small transmitted data volume, LPWA network device advantageously make possible long-distance communication with such a low power as can be operated on the battery. The proposed algorithm associated with the developed sensor unit would be able to take out the peak absolute acceleration response of a structure to every single earthquake. As well as the peak response value, the sensor unit implemented into each building would send the basic structural information (such as structure type and fundamental frequency) to an web server utilizing LPWA network device. Those informations stored on the web server would provide the pseudo absolute acceleration response spectrum, notifying the relevant engineers that the data have been sent to the server.
The proposed cloud -based sensing system would provide the useful information for estimating the damage situation in the area in which the buildings are located. It has been tested utilizing the opportunity of E-Defense shake table experiments and has been also tested through the application to actual buildings.