Risk continuity analysis of transmission line channel based on historical hidden danger data

Fei Wang; Lingqi Kong

doi:10.1117/12.2674541

23 May 2023 Risk continuity analysis of transmission line channel based on historical hidden danger data

Fei Wang, Lingqi Kong

Proceedings Volume 12604, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2022); 126041E (2023) https://doi.org/10.1117/12.2674541
Event: 2nd International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2022), 2022, Guangzhou, China

Abstract

This paper proposes a continuous analysis method of transmission line channel based on historical early warning data. It calculates the feature data, the real-time alarm data and the corresponding feature data, and passes the threshold value R₀. Determine whether it is a continuous alarm. In this paper, through the extraction of sample data extraction and calculation of Pearson moment correlation coefficient, solved the fireworks, foreign body alarm for low frequency, seasonal periodic, conventional single comparison and mechanical have good dimension reduction analysis cannot effectively identify the problem, for subsequent application scenarios such as alarm level intelligent annotation, AI image recognition model suspected false alarm and omission of sample identification model support, and improve the intelligent level of transmission line shipment inspection.

Citation Download Citation

Fei Wang and Lingqi Kong "Risk continuity analysis of transmission line channel based on historical hidden danger data", Proc. SPIE 12604, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2022), 126041E (23 May 2023); https://doi.org/10.1117/12.2674541

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