Abstract
Regarding spatial location positioning, indoor location positioning theories based on wireless communication techniques such as Wi-Fi, beacon, UWB and Bluetooth has widely been developing across the world. These techniques are mainly focusing on spatial location detection of customers using fixed wireless APs and unique Tags in the indoor environment. Besides, since existing detection equipment and techniques using ultrasound or sound etc. to detect buried persons and identify survival status for them cause 2<sup>nd</sup> damages on the collapsed debris for rescuers. In addition, it might take time to check the buried persons. However, the collapsed disaster sites should consider both outdoor and indoor environments because empty spaces under collapsed debris exists. In order to detect buried persons from the empty spaces, we should collect wireless signals with Wi-Fi from their mobile phone. Basically, the Wi-Fi signal measure 2-D location. However, since the buried persons have Z value with burial depth, we also should collect barometer sensor data from their mobile phones in order to measure Z values according to weather conditions. Specially, for quick accessibility to the disaster area, a drone (UAV; Unmanned Arial Vehicle) system, which is equipped with a wireless detection module, was introduced. Using these framework, this study aims to provide the rescuers with effective rescue information by calculating 3-D location for buried persons based on the wireless and barometer sensor fusion.
Highlights
In the urban area, when the enormous disasters like huge collapse accidents of buildings and infrastructures such tunnel, subway etc. occurs, securing action technologies of initial disasters plays an important role in guaranteeing survival golden time for buried persons
The aim of this study is to suggest a framework for detecting and identifying buried persons in collapsed disaster area with using a drone system embedded with Wi-Fi detection module we developed
When we look at the process on how we can estimate 3D spatial position of the buried mobile phones, firstly, the nodes are set, and Wi-Fi signal and barometer sensor data from the mobile phones are collected
Summary
In the urban area, when the enormous disasters like huge collapse accidents of buildings and infrastructures such tunnel, subway etc. occurs, securing action technologies of initial disasters plays an important role in guaranteeing survival golden time for buried persons. In order to detect survival status of buried persons and rescue them, the rescuers such as fire fighter, police officers etc., are mainly utilizing rescue dogs and conventional detectors with direct contact type on collapsed surface. The aim of this study is to suggest a framework for detecting and identifying buried persons in collapsed disaster area with using a drone system embedded with Wi-Fi detection module we developed. In addition to the overall framework, this study suggest 2D positioning only with Wi-Fi (Kim et al 2013) and 3D positioning with both Wi-Fi and barometer data At this time, after analysing the signal and location data, we can visually identifying the 3D burial location of the buried persons according to the signal strength (Moon et al 2015b). It is expected that this technology will be utilized as a useful tool in order to rescue any buried and missing persons in disaster area
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