An RFID and sensor web-enabled smart electric power equipment inspection system

Li, Dandan; Chen, Nengcheng; Xiao, Changjiang; Gong, Jianya

doi:10.1109/geoinformatics.2017.8090921

Cited by 1 publication

(1 citation statement)

References 9 publications

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“…With the rapid development of modern industry, electrical control equipment plays an increasingly important role in various fields [1][2][3]. However, it may malfunction after longtime operation, leading to decreased equipment performance or even shutdown [4][5][6][7][8][9].…”

Section: Introductionmentioning

confidence: 99%

Electrical Control Equipment Patrol Inspection Method Based on High Quality Image Recognition Technology

Wang¹

2023

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In order to ensure the safe, stable, and efficient operation of electrical control equipment, the patrol inspection and maintenance are especially important. Research on electrical control equipment patrol inspection method based on high quality image recognition technology is of great significance, because the method replaces traditional manual patrol inspection to some extent and reduces labor costs. The existing methods based on lowillumination image recognition technology meet the patrol inspection requirements in lowillumination environment to a certain extent, but they still have certain limitations. Therefore, this research aimed to study the electrical control equipment patrol inspection method based on high quality image recognition technology. Electrical control equipment patrol inspection images were enhanced based on Deep Curve Estimation Network (DCEN) in order to improve the visibility of equipment anomaly features, which helped reduce the misjudgment and misdetection risks during the patrol inspection process. The patrol inspection image set was reconstructed in super resolution, and was combined with clear images to construct a new image set, which improved the patrol inspection efficiency. The electrical control equipment detection process based on YOLO V3 was elaborated. The experimental results verified that the proposed method and constructed model in this study were effective.

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Section: Introductionmentioning

confidence: 99%

Electrical Control Equipment Patrol Inspection Method Based on High Quality Image Recognition Technology

Wang¹

2023

View full text Add to dashboard Cite

show abstract

An RFID and sensor web-enabled smart electric power equipment inspection system

Cited by 1 publication

References 9 publications

Electrical Control Equipment Patrol Inspection Method Based on High Quality Image Recognition Technology

Electrical Control Equipment Patrol Inspection Method Based on High Quality Image Recognition Technology

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