基于深度学习和水流调控算法的智能室内灭火系统研究

Research on Intelligent Indoor Fire Extinguishing System Based on Deep Learning and Flow Regulation Algorithm

近些年,随着人民生活水平的不断提高以及高质量生活意识的不断增强,越来越多的家用电器通过线上购物的方式走进普通家庭.这些用电产品在给人民生活提供便利的同时,由于本身质量问题以及带来的电路高载荷问题也为人民生活埋下诸多火灾隐患.一旦引发室内火灾,将会对居民的生命财产安全带来极其严重的危害.目前常用的自动灭火系统虽能在一定程度上应对室内火灾,但是其具有探测延迟高、附带损失大等缺点.据此,提出了基于深度学习和时序分析技术的智能室内灭火系统.该系统通过构建深度学习模型实现了实时火灾探测,以及着火区域精准框定;利用时序分析技术实现了灭火水流量的智能调控.实验结果表明该系统的火情识别正确率达到98.3%,火情区域框定精确度达87.9%,火情趋势预测一致性用户评价良好.实验结果表明该系统具备一定的实用价值.

In recent years,with the continuous improvement of people’s living standards and increasing awareness of high-quality living,an increasing number of home appliances have entered ordinary families through online shopping.While these electric products provide convenience to the people’s lives,they also bury many hidden fire hazards due to their quality problems and the high load on the circuit.Once an indoor fire is triggered,it will bring extremely serious harm to the lives and property of residents.Although the current commonly used automatic fire extinguishing systems can deal with indoor fires to a certain extent,they have the disadvantages of high detection delay and large incidental losses.Based on this,this paper proposes an intelligent indoor fire suppression system based on deep learning and timing analysis technology.The system realizes real-time fire detection and accurate framing of the fire area by constructing a deep learning model,and realizes intelligent conditioning of fire extinguishing water flow using time series analysis technology.The experimental results show that the system’s fire recognition accuracy rate is 98.3%,the fire area framing accuracy is 87.9,and the fire trend prediction consistency with user evaluation is good.This means that the system has certain practical value.