Fast image recognition of transmission tower based on big data
| Autor: | Hu Zhuangli, Luo Xiangyuan, He Tong, Xu Hengbin, Sun Qinzhang, Lin Bin, Jiawen Wang, Sheng Huang, Zeng Yihui, Liang Jianming |
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| Rok vydání: | 2018 |
| Předmět: |
Computer science
020209 energy Big data Energy Engineering and Power Technology ComputerApplications_COMPUTERSINOTHERSYSTEMS 02 engineering and technology Convolutional neural network lcsh:TK3001-3521 Electric power system Transmission tower lcsh:TK1001-1841 0202 electrical engineering electronic engineering information engineering Computer vision Electrical and Electronic Engineering Safety Risk Reliability and Quality lcsh:Distribution or transmission of electric power business.industry Deep learning Image recognition Tree barrier modeling lcsh:Production of electric energy or power. Powerplants. Central stations Electric power transmission Smart grid Transmission (telecommunications) 020201 artificial intelligence & image processing Artificial intelligence business Tower |
| Zdroj: | Protection and Control of Modern Power Systems, Vol 3, Iss 1, Pp 1-10 (2018) |
| ISSN: | 2367-0983 2367-2617 |
| DOI: | 10.1186/s41601-018-0088-y |
| Popis: | Big data technology is more and more widely used in modern power systems. Efficient collection of big data such as equipment status, maintenance and grid operation in power systems, and data mining are the important research topics for big data application in smart grid. In this paper, the application of big data technology in fast image recognition of transmission towers which are obtained using fixed-wing unmanned aerial vehicle (UAV) by large range tilt photography are researched. A method that using fast region-based convolutional neural networks (Rcnn) convolutional architecture for fast feature embedding (Caffe) to get deep learning of the massive transmission tower image, extract the image characteristics of the tower, train the tower model, and quickly recognize transmission tower image to generate power lines is proposed. The case study shows that this method can be used in tree barrier modeling of transmission lines, which can replace artificial identification of transmission tower, to reduce the time required for tower identification and generating power line, and improve the efficiency of tree barrier modeling by around 14.2%. |
| Databáze: | OpenAIRE |
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