International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395 -0056
Volume: 04 Issue: 03 | Mar -2017
p-ISSN: 2395-0072
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A study on the real-time management and monitoring process for recovery resources using Internet of Things Sangyun Choe1, Juhyung Park2, Sumin Han3, Jinwoo Park4, Hyeokjin Yun5 1Ph.D.
Candidate, Dept. of Industrial Engineering, Seoul National University, Seoul, Korea Candidate, Dept. of Industrial Engineering, Seoul National University, Seoul, Korea 3Ph.D. Candidate, Dept. of Industrial Engineering, Seoul National University, Seoul, Korea 4Professor, Dept. of Industrial Engineering, Seoul National University, Seoul, Korea 5Team leader, Convergence Transportation Technology Research Team, Korea Railroad Research Institute , Uiwang, Korea 2Master’s
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preparation, response, and recovery services and 119 services via ICT [2]. The Ministry of Public Safety and Security is playing a leading role in operating NDMS, but the Korea Meteorological Administration, the Ministry of Land, Infrastructure and Transport, the Korea Forest Service, and Korea Environment Corporation are also a part of the system. In addition to the major government offices, NDMS includes 18 fire headquarters, 197 fire stations, and 229 local government offices. It is also connected to personal information systems. Although NDMS is a very comprehensive disaster management system led by government offices, it still lacks a real-time recovery resources management system and focuses on administrative process rather than real-time management and monitoring. This paper proposes a real-time monitoring process for response and recovery resources based on the availability and utility of Internet of Things (IoT) technology and devices. Using IoT technology, the proposed method is able to produce meaningful information from collected data. A resource activity recognition process that improves the accuracy of information about the state and operation of equipment obtained through IoT technology at recovery sites is also proposed.
Abstract
- Globally, natural disasters, such as earthquakes, typhoons, and heavy rainfall, are causing damage to water perimetric structures. Traditional response system of disasters is managed inefficiently and it cannot reflect the real situation properly. This study suggests real-time process of managing recovery resource and monitoring system using IoT (Internet of Thing) technology. Additionally, we design the classifier of equipment activity that figures out motion and condition of equipment. Eventually we contribute the prompt, efficient and real-time response system of disaster in real situation. Key Words: Internet of Things, Resource Management, Activity Recognition Model
1. INTRODUCTION 1.1 Natural disaster response system
and
Korean
disaster
Every year, various countries face experience natural disasters, which result in significant amounts of damage. According to the Annual Disaster Statistical Review 2016 (Draft), released by the Center for Research on the Epidemiology of Disasters (CRED) at Louvain Catholic University in Belgium, as of 2016, 102 countries have been hit by a total of 301 natural disasters, resulting in 7628 lives being lost and causing direct or indirect damage that affect 411 million people. The property damage is reported to be as much as US$97 billion (about KRW 118 trillion). In the case of South Korea, according to the Statistical Yearbook of Natural Disaster 2016, by the Ministry of Public Safety and Security, South Korea has had an annual average of 22 casualties and property damage of KRW 525.2 billion for the last 10 years (2006–2015) [1]. In addition, compared with the estimated total damage of KRW 5 trillion, the damage recovery costs are as much as KRW 11 trillion, indicating that recovery incurs more than twice the cost of the damage. In South Korea, the National Disaster Management System (NDMS) has been established to provide systematic disaster safety service by integrating disaster prevention,
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1.2 Related works on disaster response using IoT During the disaster response stage, employing big data and ICT such as sensor technology, cloud computing, LTE networks, and artificial intelligence would significantly help to produce scientific and objective solutions quickly. These technologies may also enable prediction, thereby improving disaster prevention capabilities. Recently, public awareness about natural disasters has increased in South Korea, and IoT has emerged as a base technology for disaster prevention [3]. Kim (2015) proposed a methodology that applies the technological stability and economy of IoT and big databased decision making to the process of preventing, preparing for, reacting to, and recovering from disasters. The methodology establishes an effective disaster management system [4]. Lee and Huh (2016) constructed an IoT-based sensor network at a site and implemented real-time monitoring
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