Paper
19 October 2023 Analysis of distribution network fault and outage information based on multi-source data visualization design and application of digital signage
Shuzhou Xiao, Qiang Fan, Jianrong Wu, Chao Zhao, Dekun Wu
Author Affiliations +
Proceedings Volume 12709, Fourth International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2023); 127092T (2023) https://doi.org/10.1117/12.2684665
Event: Fourth International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2023), 2023, Nanjing, China
Abstract
Digital signage is a visual management tool. Through the visual interface, the data is organized and presented with various charts, and various information and problems are displayed intuitively. In order to grasp the current situation and necessary information in time and guide the rapid development of relevant measures. In order to improve the management level of distribution network fault and power outage business, a digital dashboard for distribution network fault and power outage information analysis based on multi-purpose digital technology is proposed. This paper discusses the design ideas of digital signage, constructs the technical route, and analyzes the application effect of digital signage. Combined with the actual situation of distribution network fault and power outage business, digital signage can effectively reduce the probability of distribution network fault and power outage events, improve power supply reliability, and meet business management requirements.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Shuzhou Xiao, Qiang Fan, Jianrong Wu, Chao Zhao, and Dekun Wu "Analysis of distribution network fault and outage information based on multi-source data visualization design and application of digital signage", Proc. SPIE 12709, Fourth International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2023), 127092T (19 October 2023); https://doi.org/10.1117/12.2684665
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KEYWORDS
Failure analysis

Statistical analysis

Design and modelling

Network security

Data analysis

Data visualization

Power supplies

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