基于改进Mask⁃RCNN的配电线路语义分割

Improved Mask⁃RCNN based semantic segmentation for distribution power lines

为避免配电线路检修时带来停电等问题,目前不停电作业已成为电力部门对配电线路进行检修的主要手段之一。为保证作业人员在进行不停电作业时的安全性,精准的不停电作业安全预警是非常重要的。其中对配电线路进行语义分割是不停电作业安全预警中的关键技术。文中提出了一种配电线路语义分割法——基于改进的Mask⁃RCNN语义分割模型,对配电线路实现精准的语义分割。通过现场实地实验,该方法具有较好的分割效果。

To avoid power outages caused by the overhaul of distribution power lines,live line work has become one of the important means for China’s transmission and distribution line maintenance.To ensure the safety of operators during live line work,an accurate safety early warning system for live line work is very important.Among them,the semantic segmentation of distribution power lines is the key technology in the safety early warning of live line work.An improved semantic segmentation method for distribution power lines based on improved Mask⁃RCNN is proposed for distribution power line segmentation.The results of field tests proves that the method has a high segmentation accuracy.