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METHODS AND MODELS FOR BUILDING A DISTRIBUTED MOBILE EMERGENCY MONITORING SYSTEM
Abstract
The results of research conducted in the field of development and application of mobile systems in problems of monitoring extreme weather situations (EWS). The proposed methods and development models take into account modern technologies like Map Reduce, Hadoop Java API, use of a precedent knowledge base about similar situations. The study places considerable emphasis on ensuring the reliability of the database and knowledge. Implementation of monitoring involves the use of a cloud of drones and other information sources. The main attention in the study is devoted to the development of methods for collecting information. Here were used classical methods of control, Lie algebra and methods of controlling multi-agent systems. Verification of the mathematical model of motion of the quadrocopter, checking the efficiency of the speed control algorithm, the path control algorithm, and the method of decentralized control in a multi-agent environment was carried out on the basis of the modified rules of K. Reynolds. Analysis of data and knowledge about EWS provides for the isolation of micro-situations for both quantitative data and qualitative data, which includes the search for information on the Internet and social networks with the help of eyewitnesses and experts. This systematic approach in collecting and accumulating a case-based database and knowledge allows to improve the quality of information and accelerate adoption. If there is a risk of occurrence of EWS and when liquidating the consequences of EWS, it is necessary to save, process and use vital information for making managerial decisions. However, EWS also generate risks of information loss - data that determines the reliability and survivability of databases under EWS conditions. Databases and knowledge in EWS monitoring systems should have high reliability and prevent data storage and processing disruptions. In research it is offered to use the logical conclusion providing a choice of preferable algorithm of the decision, it is carried out in the multiprocessor computing environment.
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