基于物联网和图像处理的森林智慧烟感预警系统

Intelligent Smoke Sensing Early Warning System for Forest Based on Internet of Things and Image Processing

介绍了物联网技术和图像处理流程,研究了基于视频图像处理和卷积CNN算法的森林火灾烟雾识别模型,设计了一套农业森林智慧烟感预警系统。实验结果表明:该系统和颜色+运动+形态、Gabor小波相比,学习效率和准确率均较高,具有非常好的收敛性,在森林发生火灾时能够灵敏地检测到,且报警及时,证明了系统具有一定的可行性。

It introduces the Internet of things technology and image processing process,studies the agricultural forest fire smoke recognition model based on video image processing and convolution CNN algorithm,and realizes a set of agricultural forest intelligent smoke sensing early warning system.The experimental results show that:compared with color+motion+morphology and Gabor wavelet,the system has higher learning efficiency,higher recognition accuracy,and has very good convergence.It can detect fire in agricultural forest sensitively and alarm in time,which proves the feasibility of the system.