Research on urban drainage dynamic scheduling and fire emergency response based on ant colony algorithm optimization

Aiming at the improvement of urban rainwater drainage system in routine regulation and emergency response to sudden fire, this paper constructs a dynamic allocation framework based on ant colony algorithm. In view of the accelerated pace of urbanization, the complexity and emergency response need of rainwater drainage facilities are increasing day by day. In order to accurately respond to the dynamic fluctuations of rainwater discharge and the immediate needs of sudden fire, this paper proposes a composite objective optimization framework that considers rainwater discharge and emergency measures. Given the global detection advantage of ant colony algorithm in the solution process, it is adopted to optimize the dynamic regulation of rainwater drainage system, aiming to reduce the challenges of discharge delay and system overload. The simulation results show that the allocation scheme based on ant colony algorithm can significantly improve the operational efficiency of rainwater drainage system, while ensuring rapid response in fire emergency. The adaptability of the system in complex situations has been verified, and through detailed data analysis, the optimization of regulation effect and resource allocation suitability are demonstrated. The research results provide new theoretical support and technical assistance for the improvement of urban rainwater drainage regulation and fire emergency response capabilities.