摘要
火灾探测预警技术是有效降低火灾损失、辅助扑救火灾,保护人民生命财产安全的重要技术保障,是对烟雾进行探测较为有效的手段之一。目前,大部分烟雾探测报警装置主要设置于室内空间场所,仅具备探测和报警功能,同时误报率相对较高,也无法同步传递实时视频画面信息,对室外空间区域也无法进行探测。针对上述情况,基于视频监控系统对烟雾进行实时探测研究。通过对CNN架构进行改进,在EfficientNet中加入残差模块Res-EfficientNet,更精准的探测和识别烟雾。通过STRCF实现对烟雾的精度定位。为提高探测准确率,还考虑了烟雾偏振传输特性,如烟雾的扩散和半透明状态。为了能够更好地探测视频中的烟雾,将空间频率的能量作为滤波器的一维约束项,在基准数据集上进行了试验,试验结果表明,准确率提高了3%。
Fire detection and early warning technology is an im-portant technical guarantee to effectively reduce fire loss,assist fire fighting and protect people's life and property safety,and smoke detection is one of the more effective means.At present,most smoke detection and alarm devices are mainly set in in-door space,and only have detection and alarm functions.At the same time,the false alarm rate is relatively high,and real-time video information cannot be transmitted synchronously,and de-tection cannot be carried out for outdoor space areas.Based on the above situation,this paper mainly studies the real-time de-tection of smoke based on video monitoring system.In the ex-periment,the network(CNN)architecture was improved,and the res-EfficientNet residual module was added in the Efficient-Net,which was used for more accurate detection and recogni-tion of smoke.The spatiotemporal regularized correlation filter(STRCF)was used to achieve the accurate location of smoke.In order to improve the detection accuracy,the polarization trans-mission characteristics of smoke,such as smoke diffusion and translucency,are also considered.In order to better detect the smoke in the video,the energy of spatial frequency is taken as the one-dimensional constraint term of the filter,and the experi-ment is carried out on the benchmark data set.The experimental results show that the accuracy is improved by 3%.
作者
陆坚
Lu Jian(Xuhui Fire and Rescue Division(of Shanghai),Shanghai 200232,China)
出处
《消防科学与技术》
CAS
北大核心
2022年第12期1713-1715,共3页
Fire Science and Technology
