基于Ai-IRT与5G-Sa的配网带电作业安全行为模式检测

Safety Behavior Pattern Detection of Live Operation in Distribution Network Based on Ai-IRT and 5G-Sa

配网带电作业过程中存在安全隐患,为保障作业人员的安全性,研究基于Ai红外热成像与5G-Sa网络模式的配网带电作业安全行为模式检测方法。通过基于Ai红外热成像原理的TOF深度相机,采集配网带电作业区域与作业人员深度图像,划分配网带电作业区域,设定预警判别条件,对出现在预警区间内的作业人员点云数据是否超出预警控制线实施判别,判别结果经由5G-Sa网络传送到地面监控中心,由监控中心完成预警及记录,实现配网带电作业安全行为模式检测。实验结果表明,该方法可实现配网带电作业安全行为模式的检测,有效传输检测结果,并对不安全行为模式及时发出预警。

Potential safety risks exist in the process of live operation in the distribution network.In order to ensure the safety of operators,the detection method of safe behavior pattern in live operation in the distribution network based on Ai infrared thermal imaging and 5G-Sa network mode was studied.Through the TOF depth camera based on the principle of Ai infrared thermal imaging,the depth images of live working areas of the distribution network and operators were collected,the live working areas of the distribution network were classified,and the early warning and discrimination conditions were set to determine whether the operators′point cloud data in the early warning interval exceeded the early warning control line.The discrimination results were transmitted to the ground monitoring center through the 5G-Sa network.The monitoring center completed the warning and record,realized the detection of the safety behavior pattern of live operation in the distribution network.The experimental results show that this method can detect the safe behavior pattern of live operation in the distribution network,transmit the detection result effectively,and give early warning to the unsafe behavior pattern in time.