| China has a large landscape, with many different types of natural environments such as geological structure or uneven distribution of precipitation. A series of reasons are resulting in frequent natural disasters happening in the recent years. Each year, there are widespread damages or devastating hits to local area due to earthquakes, landslides, tsunamis, typhoons, floods and other unexpected disasters. At the same time, with the rapid development of China's economy and high speed of industrialization, frequent accidents can also lead to immeasurable losses for the society. Both 5.12 WenChuan earthquake and QingDao oil pipeline explosion accidents, not only caused great loss to people's lives and property, but also challenged the emergency rescuer's capability in responding to such accidents. Emergency rescue work is a series of reactions to natural disasters or accidents such as production safety carried out quickly and efficiently and orderly emergency action. It can be a very complex process. The commanders' efficient and scientific instructions are key factors impacting on the outcomes of emergency rescue work. Our country has been committed to all aspects of the construction of emergency rescue work, has achieved fruitful research results, but some questions have been exposed. For example, existing emergency command technologies are difficult to meet the needs of commanders; information on the rescue workers' side are not rich and timely enough; current systems can not effectively protect the rescue workers. However, with the advent of the era of Internet of things, information technology and embedded technology obtained rapid development, which not only facilitate people's lives, but also can solve these problems very well and make the study of rescue command system enter a new stage.In this thesis, I researched and developed a comprehensive assistance system based on monitoring the rescuers' burnout syndrome, which integrates the physiological indexes monitoring technology, mobile communication technology, mobile positioning technology and GIS technology together based on the technology of the Internet of things. To assist the decision-making requirements of rescue commanders, the system structure and functions are proposed. In order to more efficiently utilize rescue human resources, and to understand the rescue site better, this study designed map functions such as map browsing, location query, measurement, and the rescue command functions such as the positioning distribution of the rescue teams and personnel and convergence of display based on the GIS platform. Further,, to provide timely support to rescue commanders in understanding the state of the rescue workers, this study designed heart rate real-time acquisition function of the rescuers, which monitor the rescuers'real-time heart rate through the use of the sensor technology. This research also designed the analysis algorithm of heart rate and heart rate variability, which can conduct real-time analysis of the heart rate of rescue workers and draw the rescuers' burnout state, to provide timely alarm to warn them of any possible burnout. In this way, rescue commanders can understand the rescue progress and site situation real-time, regroup and adjust rescue teams more conveniently and release to rescue teams more useful disaster information, which can prevent the waste of the rescue force and protect rescue teams from harm.Through testing the comprehensive assistance system based on monitoring the rescuers' depletion, the system is capable of locating rescuers real-time, monitoring the physiological and psychological state of them and meeting the critical information needs of rescue commanders. Based on our system testing, the system has reached the expected goal. |
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