Author(s)

HYOUNSEOK MOON, WOOSIK LEE

Abstract

When a structure collapses during a disaster, many people are buried inside the collapsed building or debris. In order to detect the burrower, detection activities are performed directly in the disaster area using ultrasonic, acoustic and other detection equipment. Therefore, relieving the burrower in the early days of the disaster is the most important activity. The existing method requires time and manpower for the relief workforce to be put into the field after the disaster, and there is a possibility that many people may be injured due to inaccessibility and incorrect location data for buried persons within the Golden Time according to the situation in the field. The purpose of this study is to visualize the location information of the burrowers so that relief workers can quickly identify the location of the burial site, and to build a system development and operation framework that can be utilized in the online environment. The drones preferentially collect wireless signals (Wi-Fi) and air pressure information from barometer sensors, transmitted from mobile devices owned by the passengers through a route over the disaster area. The collected information is transmitted to the server on the ground using the disaster long term evolution (LTE) communication network. Then, the GPS position and depth value at the point where the wireless signal from underground is the strongest is recorded as the 2D position with X, Y coordinate and 3D position with Z coordinate of burial depth for buried person. The final position value for each person can be displayed visually with signal strength values in the open map. This information is expected to be used as an important tool for relief workers to quickly identify the precise location of the buried person and to prepare the relief plan in advance.

Keywords

wireless signal, buried person, 3D positioning, visual framework, detection