Space grid-based low-altitude aviation accident search and rescue area recommendation method and system

Abstract

The application provides a low-altitude aviation accident search and rescue area recommendation method and system based on a spatial grid, which comprises the following steps: defining and gridding a potential accident area according to the last lost state of an accident aircraft and a predetermined flight segment, forming a grid model containing environmental attributes; for each grid, calculating a single-dimension probability value from four dimensions respectively, fusing to obtain a comprehensive existence probability of each grid, and generating a grid sequence for priority search and path recommendation according to the sequence; after the actual search does not find the target, the probability of the searched grid is dynamically attenuated and updated based on the reliability of the search result and the environmental complexity, and then the path is reordered and planned based on the updated probability, and the subsequent recommendation is iteratively optimized. Through gridding modeling, multi-dimension probability fusion and dynamic iterative optimization based on search results, the application realizes intelligent recommendation and resource continuous focusing of the search and rescue area, and significantly improves the search and rescue efficiency and success rate.

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