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为提高海底隧道火灾搜索效率,基于隧道火灾情景分析,建立时间最短的火灾救援搜索优化模型。首先,考虑海底隧道结构特点和CO浓度对救援效果的影响,给出模型的目标函数与限制条件,提升模型的适用性。然后,改进蚁群优化算法(ACA)的邻接矩阵和启发式函数确立规则,以克服搜索网络复杂和路径选择策略单一的问题,并求解模型。最后,以翔安海底隧道火灾为例进行模拟。结果表明,使用该模型在实现路径最短目标的同时,能优先对CO浓度较高的点进行救援搜索,降低CO对滞留人员的伤害。
In order to improve the search efficiency of the fire in a subsea tunnel, a fire rescue search optimization model with the shortest time is established based on the tunnel fire scenario analysis. First of all, considering the structural characteristics of the subsea tunnel and the effect of CO concentration on the rescue effect, the objective functions and constraints of the model are given to improve the applicability of the model. Then, we improve the ACA adjacency matrix and heuristic function to establish rules to overcome the single problem of search network complexity and routing strategy and solve the model. Finally, the Xiang An tunnel fire is taken as an example to simulate. The results show that this model can achieve the shortest path goal while giving priority to rescue search with higher CO concentration and reduce the harm of CO to stranded people.