微型电脑应用

针对传统目标检测法在电力工程作业现场应用时存在实时性差、准确性低的问题,基于多源传感网络提出了一种智慧工程安全管理系统设计方案。所提系统的总体架构由底部感知层、边缘计算层、网关层和计算服务器层组成。检测算法部分分为施工人员目标检测与安全帽检测2个模块,目标检测算法融合了YOLOv4网络及ViB e网络,降低了模型的虚警预测概率,而安全帽检测算法则通过引入RFB(receptivefie1db1Ock)模块和自适应模块提升了网络感受野,使得检测精度更高。在实验测试中,所提算法比原算法的准确率与召回率分别提升了0.9%、1.4%,能够满足工程作业的实际需求。

Aiming at the problems of poor real-time performance and low accuracy in the application of traditional target detection method in the operation site of power engineering,this paper proposes a design scheme of intelligent engineering safety management system based on multi-source sensor network.The overall architecture of the proposed system consists of the bottom sensing layer,edge computing layer,gateway layer and computing server layer.The detection algorithm is divided into 2modules:construction personnel target detection and helmet detection.The target detection algorithm combines YOLOv4 network and ViBe network to reduce the false alarm prediction probability of the model.The helmet detection algorithm improves the network receptive field by introducing receptive field block(RFB) module and adaptive module,which makes the detection accuracy higher.In experimental testing,the proposed algorithm improves the accuracy and recall by 0.9% and 1.4%,respectively,compared to the original algorithm,which can meet the actual needs of engineering operations.