Title: Research on natural disaster emergency monitoring system

Authors: Jianliang Yang; Hanping Hou; Shaoqing Geng; Shaobo Qiao; Yue Wang; Fangcheng Tang; Xuan Wang

Addresses: Department of Logistics Management, School of Economics and Management, Beijing University of Chemical Technology, Beijing 100029, China ' Department of Logistics Management, School of Economics and Management, Beijing Jiaotong University, Beijing 100044, China ' Department of Logistics Management, School of Economics and Management, Beijing Jiaotong University, Beijing 100044, China ' Department of Logistics Management, Space Star Technology Co., Ltd., Beijing, Beijing 100086, China ' Department of Logistics Management, Space Star Technology Co., Ltd., Beijing, Beijing 100086, China ' School of Economics and Management, Beijing University of Chemical Technology, Beijing 100029, China ' School of Economics and Management, Beijing University of Chemical Technology, Beijing 100029, China

Abstract: Monitoring is the main emergency information and intelligence department. The natural disaster emergency rescue decision is made on the basis of disaster monitoring information. Obtaining timely and accurate disaster information is the fundamental guarantee for emergency and rapid rescue. Based on the research status of natural disaster emergency monitoring system, this paper proposes the establishment of sky-ground integrated natural disaster emergency monitoring system based on the research method of system management theory, and analyses quantitatively the system performance. Finally, it points out the operation mode and guarantee of the system. The mechanism provides reference for the construction of a scientific and perfect natural disaster emergency monitoring system, which really shortens the time of 'black box' and 'grey box', solves the 'vacuum' of rescue and realises rapid rescue.

Keywords: natural disasters; information science; emergency rescue; emergency monitoring; information and intelligence; sky-ground integrated monitoring system; operation mode.

DOI: 10.1504/IJSNET.2020.106601

International Journal of Sensor Networks, 2020 Vol.32 No.4, pp.218 - 229

Received: 07 Feb 2019
Accepted: 09 Nov 2019
Published online: 15 Apr 2020 *

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