Publications / 2019 Proceedings of the 36th ISARC, Banff, Alberta, Canada

Smart Construction Monitoring for Disaster Prevention Based on Spatial Information and GNSS/USN/IoT

Sangho Yeon and Chunhum Yeon
Pages 1334-1338 (2019 Proceedings of the 36th ISARC, Banff, Alberta, Canada, ISBN 978-952-69524-0-6)
Abstract:

The monitoring technique by combination of the measurement method with the fine precision of the sensor collecting the satellite-based information that can determine the displacement space, is available to a variety of diagnostic information. The measurement method by a GNSS with the sensors is being requested. The progress of natural disasters by various environmental factors and the surroundings is occasionally caused. Such attempts are carried out nationally by distributed torsional displacement of the terrain and facilities. The various sensors and instruments track to diagnose this spatial information. Such information contains the precise displacement of the main facilities and the first reference point in the Geospatial or more three-dimensional available map and location information using the installed sensors or the like bridges and tunnels produced by a USN/IoT change at any time. Each sensor installed on the facility is to collect and integrate the precise positioning and environmental factors. In other words, Combining of the various positioning analysis of mm-class for the facility of main area observed is to be required constantly in real time information of the USN/IoT environment sensors and to be able to utilize such information as a precisely fine positioning information for the precisely fine displacement of the semi-permanent main facilities. It’s to be one of the efficient information management. In this study, for the installation of the receiving system, relatively easy access is available to the USN/IoT base line positioning for the target bridges. Transmitting hourly from the received data is also executed in real time using the wireless Wi-Fi/Bluetooth bridges and related facilities to automatically process a fine position displacement. The results obtained from a method can be analyzed by real-time monitoring for a large structure or facilities to disaster prevention.

Keywords: GNSS; USN; IoT; Construction Disaster Monitoring; Spatial Information