Abstract
After investigation and analysis, this work adopts a variety of feature fusion methods, based on the business characteristics of power grid equipment, to carry out video information superimposition and interactive technology research. Aiming at the noise characteristics of various power equipment such as power field transformers, it studies the noise reduction of power field audio collection. Key technology; using feature classification-based moving target detection and classification-based moving target tracking technology and continuous learning technology for tracking targets to achieve continuous tracking of power equipment components; based on image vector icon labeling and image overlay technology to achieve map video overlay of textual guidance information.
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Acknowledgements
This paper was supported by the science and technology project in State Grid Corporation, which name is ‘Research on the Key Technologies of Power Grid Disaster Intelligent Perception and Emergency Command (5700-202019185A-0-0-00)’.
I would like to express my heartfelt gratitude to my colleagues and friends, and at the same time, I want to thank all the scholars who are quoted in this paper.
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He, Z. et al. (2022). Survey on Video Information Superimposition and Interaction Method Oriented to Disaster Knowledge of Power Grid. In: Jain, L.C., Kountchev, R., Hu, B., Kountcheva, R. (eds) Wireless Technology, Intelligent Network Technologies, Smart Services and Applications. Smart Innovation, Systems and Technologies, vol 258. Springer, Singapore. https://doi.org/10.1007/978-981-16-5168-7_2
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DOI: https://doi.org/10.1007/978-981-16-5168-7_2
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