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| Content Provider | frontiers |
|---|---|
| Author | Sun, Zhiqing Xuan, Yi Fan, Libo Han, Rongjie Tu, Yongwei Huang, Jiabin Xiang, Xinyu Wang, Yi Fang, Xiang |
| Abstract | With the continuous development of energy infrastructure, a large number of distributed new energy, distributed energy storage and various power electronic equipment are connected to distribution communities. The access of a large number of equipment leads to a complex field operation environment, which will threaten the security of field operators.Traditional monitoring strategy for distribution community operation site relies on manual operation, which is tedious, labour-intensive and error-prone. To solve this problem, this paper proposes a security monitoring strategy of distribution community operation site based on intelligent image processing method. Firstly, a power image enhancement method based on multi-filtering algorithm is proposed. The filter operators are used to smooth and denoise the image, enhance the edge and detail information, and expand the security monitoring data set of operation site by merging the filtered images. Secondly, an object detection method for personnel and security protection tools based on the improved Faster R-CNN algorithm is proposed, and a pyramid structure is constructed to improve the detection and localization accuracy of small objects such as safety helmets and safety belts. To simplify the object detection task and the complexity of the labeling system, it is disassembled into four single tasks: operators, non-opertors, safety helmets, and safety belts. Finally, the detection frame labels are fused by calculating the overlap of the object detection boxes to describe the security of the operator. Experiments show that the method proposed in this paper can effectively locate the object and accurately describe the security of the operator. |
| ISSN | 2296598X |
| DOI | 10.3389/fenrg.2022.931515 |
| Volume Number | 10 |
| Journal | Frontiers in Energy Research |
| Language | English |
| Publisher Date | 2022-06-27 |
| Access Restriction | Open |
| Subject Keyword | Energy infrastructure Distributed energy resources Machine Vision Object detection Distribution community |
| Content Type | Text |
| Resource Type | Article |
| Subject | Economics and Econometrics Renewable Energy, Sustainability and the Environment Fuel Technology Energy Engineering and Power Technology |
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