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Studies On Forest Fire Suppression Intelligent Decision And Support System

Posted on:2007-03-21Degree:MasterType:Thesis
Country:ChinaCandidate:J Y ChenFull Text:PDF
GTID:2178360185466442Subject:Mechanical Manufacturing and Automation
Abstract/Summary:PDF Full Text Request
This paper puts forward one kind of theory which sets up the forest fire suppression intelligent decision and support system by the resource competition intelligent decision method and form. Basing this theory, open out this system hardcore of the fire extermination intelligent decision module, and check up the feasibility of this module by the emulator experimentation.The paper marks out the whole structure of the forest fire suppression intelligent decision and support system, and consummates the whole layout. The forest fire suppression intelligent decision and support system consists of five core modules which use parallel work style. These are fire information collection, fire action prediction, fire suppression intelligent decision, user interface and database. After investigating the decision method based on resource competition, the paper adopts the method which enables the intelligent decision module to decide the optimal fire suppression method when the fire suppression resources are limited. Considering of fire suppression time, fire area, fire loss and so on, the paper introduces a series of estimation system, founds estimation model of decision result. To consummate the forest fire suppression intelligent decision and support system, the paper sets up several models such as calculation, firebreak build, fire suppression process and man-machine conversation. Finally, a simulation system is designed. The feasible of the proposed system is demonstrated by the simulation results.The system will provide important information to the fire suppression commander, and play an important role in the process of forest fire suppression.
Keywords/Search Tags:decision methods, intelligent decision, resource competition, forest fire
PDF Full Text Request
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