Knowledge-guided dynamic generation of escape route networks for forest fires
A reasonably planned forest fire escape road network plays an important role in emergency escape decision-making,but the existing methods have weak dynamic adaptability and do not consider the key spatial information affecting people's es-cape safety such as ravine areas and narrow ridges,resulting in poor accuracy of escape road network planning.Therefore,this paper introduces intelligent mapping technology methods and proposes a knowledge-guided dynamic generation method of forest fire escape road network,by breaking through the key technologies of forest fire escape road network planning knowledge map construction,key spatial region extraction,et al.Then,it establishes a forest fire escape road network access raster network model,realizes the dynamic optimization generation of escape road network with the improvement of the A*algorithm,devel-ops a prototype system and carries out experimental analysis.The results show that the method in this paper can realize the dy-namic generation of escape road network under the environment of forest fire spreading,which can provide effective escape de-cision-making information for the fire fighters.Compared with the existing static forest fire escape road network planning methods,the accuracy of escape planning improves the overlap rate of the high safety zone by 3.06％,and the overlap rate of the hazardous zone of the escape network reduces by 27.39％.
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