基于蚁群算法的激光智能消防疏散系统设计

针对当前消防疏散系统在火灾烟雾恶劣环境中存在识别困难、引导方案单一、维护成本高、智能化不足等问题,设计了基于蚁群算法的激光智能消防疏散系统。该系统由信息采集模块、中央处理模块和疏散引导模块组成,智能化实时监控和处理火场情况。火灾发生时,传感器动态采集火场信息,用显示器显示火灾发生地点,经过处理器运用蚁群算法计算出最优疏散路径,最终疏散引导模块把疏散路径以激光接力的形式投影在地面,指导人员动态疏散。通过案例分析,验证了该系统的可行性和优越性。

Design of laser intelligent fire-fighting evacuation system based on ant colony algorithm

For the problems of difficult identification, single guiding scheme, high maintenance cost and insufficient intellectualization in the current fire evacuation system in the harsh environment of fire smoke,an intelligent laser fire evacuation system based on ant colony algorithm is proposed, which is composed mainly of information acquisition module, central processing module and evacuation guidance module, so as to realize intelligent real-time monitoring and handling of fire situation. When a fire occurs, the sensors can dynamically collect fire information, and the displayers show where the fire occurs, as well as the optimal evacuation path by using ant a colony gorithm. Moreover, the evacuation guidance module projects the evacuation path on the ground in the form of laser relay to guide the dynamic evacuation of personnel.The feasibility and superiority of the system are verified with a case study.