A Cloud Edge Collaborative Intelligence Method of Insulator String Defect Detection for Power IIoT
文献类型：期刊论文
| 作者 | Song CH(宋纯贺)2,3 ; Xu WX(徐文想)2; Han GJ(韩光洁)1,4; Zeng P(曾鹏)2,3; Wang ZF(王忠锋)2,3; Yu SM(于诗矛)2,3
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| 刊名 | IEEE Internet of Things Journal
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| 出版日期 | 2021 |
| 卷号 | 8期号:9页码:7510-7520 |
| 关键词 | IIoT artificial intelligence edge computing insulator string defect recognition |
| ISSN号 | 2327-4662 |
| 产权排序 | 1 |
| 英文摘要 | Using unmanned aerial vehicles (UAVs) for equipment condition monitoring is an important application of industrial Internet of things (IIoT), and the limited energy is the key factor to restrict the application of UAV. In order to reduce the computational load for intelligence computing of UAV, this paper proposes a cloud edge collaborative intelligent method for object detection, and applies it to insulator string recognition defect detection in the power IIoT. First, the impact of the extremely large aspect ratio of object on the detection accuracy and the computational load are analyzed, then the cloud edge collaborative intelligent method for insulator string detection and defect recognition is presented, in which on the UAV side a low cost method is proposed for estimating possible directions of insulator strings, and on the cloud side an effective method is proposed for insulator string defect detection. The experimental results show the effectiveness of the proposed algorithm. To the best knowledge of us, this paper is the first work to analyze the impact of the extremely large aspect ratio of insulator string on the detection accuracy and the computational load. |
| WOS关键词 | FAULT-DETECTION |
| 资助项目 | National Key Research and Development Program of China[2018YFB1700200] ; National Nature Science Foundation of China[U1908212] ; National Nature Science Foundation of China[61773368] ; Industrial Internet Innovation Development Project Edge Computing Test Bed ; Project of Shenzhen Science and Technology Innovation Committee[JCYJ20190809145407809] ; Project of Fujian University of Technology[GY-Z19066] ; Revitalizing Liaoning Outstanding Talents Project[XLYC1907057] ; State Grid Corporation Science and Technology Project[SG2NK00DWJS1800123] |
| WOS研究方向 | Computer Science ; Engineering ; Telecommunications |
| 语种 | 英语 |
| WOS记录号 | WOS:000642765500033 |
| 资助机构 | National Key R and D Program of China under Grant 2018YFB1700200 ; National Nature Science Foundation of China under Grants U1908212 and 61773368 ; Industrial Internet innovation development project ”edge computing test bed” ; project of Shenzhen science and technology innovation committee No. JCYJ20190809145407809 ; Project of Fujian University of Technology, No. GY-Z19066 ; revitalizing Liaoning Outstanding Talents Project (No. XLYC1907057) ; State Grid Corporation Science and Technology Project (SG2NK00DWJS1800123) |
| 源URL | [http://ir.sia.cn/handle/173321/28004]  |
| 专题 | 沈阳自动化研究所_工业控制网络与系统研究室 |
| 通讯作者 | Zeng P(曾鹏) |
| 作者单位 | 1.Department of Information and Communication Systems, Hohai University, Changzhou, China 2.Key Laboratory of Networked Control Systems, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, 110016, China 3.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110016, China 4.Fujian Key Lab for Automotive Electronics and Electric Drive, Fujian University of Technology, 350118, China |
| 推荐引用方式 GB/T 7714 | Song CH,Xu WX,Han GJ,et al. A Cloud Edge Collaborative Intelligence Method of Insulator String Defect Detection for Power IIoT[J]. IEEE Internet of Things Journal,2021,8(9):7510-7520. |
| APA | Song CH,Xu WX,Han GJ,Zeng P,Wang ZF,&Yu SM.(2021).A Cloud Edge Collaborative Intelligence Method of Insulator String Defect Detection for Power IIoT.IEEE Internet of Things Journal,8(9),7510-7520. |
| MLA | Song CH,et al."A Cloud Edge Collaborative Intelligence Method of Insulator String Defect Detection for Power IIoT".IEEE Internet of Things Journal 8.9(2021):7510-7520. |
入库方式： OAI收割
来源：沈阳自动化研究所
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