Abstract
With the continuous iterative evolution and integration of new generation information technologies such as artificial intelligence, cloud computing, big data, Internet of Things (IoT), and mobile Internet, the Unmanned Aerial Vehicle (UAV) remote sensing technology will be qualitatively leap, and it will also drive the power industry into a new era of intelligence. This paper aims at reviewing the full-service process of UAV power inspection, expounds the application of new generation information technology in UAV power inspection, and forecasts the intelligent trend of power inspection. 1) Intelligent flight platform: the drone is closely integrated with 5G communication, gradually leading the 5G network UAV from network integration, real-time era to intelligent era; 2) intelligent patrol: the UAV intelligent control and other series of technologies Bottleneck will be overcome, networked “fixed/mobile” drone intelligent airport are developed, and UAV power inspection will be all-weather, unmanned and intelligent; 3) intelligent data analysis, introduction of artificial intelligence technology and continuous optimization of models will greatly improve fast and accurate inspection data intelligent analysis; 4) integration of IoT, big data, cloud computing will improve the multi-dimensional data integration, state monitoring full coverage, data stream and business flow integration coupling, and achieve intelligent equipment state evaluation and prediction; 5) Comprehensive application of the new generation of information technology: the construction of intelligent operation and maintenance system, and intelligent control platform for drone power inspection, will effectively improve management, and create a new situation of power inspection.
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Acknowledgements
The research was jointly supported by China Southern Power Grid Guangzhou Power Supply Bureau Co., Ltd. Key Technology Project (080000KK52190001); Guangdong Provincial Science and Technology Program (2017B010117008); Guangzhou Science and Technology Program (201806010106, 201902010033); the National Natural Science Foundation of China (41976189, 41976190); the Guangdong Innovative and Entrepreneurial Research Team Program (2016ZT06D336); the Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou) (GML2019ZD0301); the GDAS’s Project of Science and Technology Development (2016GDASRC-0211, 2018GDASCX-0403, 2019GDASYL-0301001, 2017GDASCX-0101, 2018GDASCX-0101).
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Liu, Z., Zhao, X., Qi, H., Li, Y., Zhang, G., Zhang, T. (2020). Prospect of Power Inspection Using UAV Technology. In: Xie, Y., Li, Y., Yang, J., Xu, J., Deng, Y. (eds) Geoinformatics in Sustainable Ecosystem and Society. GSES GeoAI 2019 2019. Communications in Computer and Information Science, vol 1228. Springer, Singapore. https://doi.org/10.1007/978-981-15-6106-1_12
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DOI: https://doi.org/10.1007/978-981-15-6106-1_12
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