摘要
针对传统防火灭火方式效率低、成本高的问题,笔者基于窄带物联网连接的传感器进行森林火灾的初步定位;通过使用Floyd算法来实现机器人自动行驶与避障;使用增强型的卷积神经网络实现火焰的识别。以中智讯机器人、大疆无人机和物联网智能探测器等硬件为载体,设计了一款陆天一体化的森林火灾监测预警灭火系统,完成无人机与机器人的自动灭火。
Aiming at the problems of low efficiency and high cost of traditional fire fighting and extinguishing methods, the author carried out preliminary localization of forest fires based on narrowband IoT-connected sensors;used Floyd algorithm to achieve automatic driving and obstacle avoidance of robots;and used enhanced convolutional neural network to realize flame recognition. Based on the hardware such as CITIC Robot, DJI UAV and IoT smart detector, a land-sky integrated forest fire monitoring, early warning and fire extinguishing system was designed to complete the automatic fire extinguishing of UAVs and robots.
出处
《计算机科学与应用》
2021年第5期1264-1267,共4页
Computer Science and Application
