智能化建筑疏散路径规划与动态指示设计

Intelligent Building Evacuation Route Planning and Dynamic Indication Design

针对当前我国大部分消防疏散指示系统结构简单和功能单一的问题,本文旨在研究智能疏散路径的规划与动态疏散指示的设计,以改善现有疏散系统的不足,并实现疏散的智能化控制。研究过程基于蚁群算法,并考虑火灾现场温度、烟雾浓度、CO浓度等因素的影响。文中首先依据相关理论并采用蚁群算法,建立了火灾现场动态疏散路径系统模型,并对其进行了研究。研究结果表明,该系统能够根据实时的火灾现场情况,快速规划出最佳的疏散路径,引导人群实现安全疏散。通过本研究,智能疏散指示系统的设计得到了有效改进,为保障人员在火灾事件中的安全疏散提供了可靠的支持。

The aim of this study is to address the issues of the simple structure and limited functionality of the majority of fire evacuation indication systems in China.The focus is on researching the planning of intelligent evacuation routes and dynamic evacuation indications,in order to improve the deficiencies of existing evacuation systems and achieve intelligent control of evacuation.The research process is based on ant colony algorithm and takes into consideration factors such as temperature,smoke concentration,and CO concentration at the fire scene.This study firstly establishes a dynamic evacuation route system model at the fire scene using the ant colony algorithm,based on relevant theories,and conducts research on it.The results demonstrate that the system is capable of rapidly planning optimal evacuation routes based on real-time conditions at the fire scene,guiding individuals to achieve safe evacuation.Through this research,the design of the intelligent evacuation indication system has been effectively improved,providing reliable support for ensuring the safe evacuation of personnel during fire incidents.