基于物联网与深度学习的智能火灾感知疏散系统  

Intelligent Fire Sensing Evacuation System Based on Internet of Thing and Deep Learning

作　　者：孙莉娜[1] SUN Lina(Liaoning Mechanical&Electrical College of Technology,Dandong Liaoning 118000)

机构地区：[1]辽宁机电职业技术学院信息工程学院,辽宁丹东118000

出　　处：《软件》2024年第12期27-29,共3页Software

基　　金：辽宁机电职业技术学院ky202401基础研究项目“建筑火灾智能监测技术研究与应用”。

摘　　要：针对当前大型建筑在火灾预警与疏散方面所面临的挑战,本文提出了一种基于物联网与深度学习算法的智能火灾感知疏散系统。该系统包含火灾感知、逃生疏散和信息传递与控制三个模块,各模块协同工作,以实现火灾情况下建筑人员的安全疏散。仿真结果表明,该系统火焰检测率高达96%,能有效实现预警功能。疏散实验仿真表明,该系统能够有效应对人群密集情况,确保人员安全疏散。Addressing the issue of fire warning and evacuation in large buildings,this study has developed a fire detection and evacuation system that integrates the Internet of Things,deep learning,and path planning algorithms.The system consists of three modules:fire perception,evacuation,and information transmission and control.Each module works together to achieve safe evacuation of building personnel in the event of a fire.Experimental results indicate that the system's flame detection accuracy rate is as high as 96%,enabling early fire warning.Additionally,evacuation simulation experiments show that the proposed scheme can effectively achieve safe evacuation in scenarios with high human traffic.

关 键 词：大型建筑 火灾感知 物联网 信息管理系统 路径规划 

分 类 号：TP312[自动化与计算机技术—计算机软件与理论]