The occurrence of mine water disasters has brought huge losses. At present, the strategies and algorithms for mine water disaster rescue are mostly based on the Dijkstra algorithm, and usually do not consider the impact of individual differences among trapped individuals. In response to the impact of individual differences on rescue methods, this article analyzes the impact of water level and water flow velocity on human stability, as well as the prediction of the physical condition of trapped individuals. A method for calculating the risk coefficient is proposed, and a mine water disaster rescue model based on human characteristics is established. This article simulates a personalized rescue algorithm for Dijkstra underground optimal path rescue based on personal characteristics using Java programming language in the Eclipse development environment. The experimental results indicate that in mine water disaster rescue, selecting the shortest rescue path based on individual characteristics can fully utilize the capacity of the tunnel system and develop more accurate rescue plans for specific individuals.
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Liu et al. (2024) studied this question.
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