Working Condition Monitoring of Electric Power Industry Equipment based on Image Recognition Technology

Huimeng Zhang, Shenghui Chu, Rongzhou Zhang, Guozhong Liu, Hao Meng

Abstract


With the vigorous development of electric power industry in China, in order to ensure the safe operation of equipment working in the area of power plants, substations and others. Traditional manual inspection working condition of equipment has been difficult to meet the current large-scale electric power enterprises. Therefore, it is important to develop image recognition application using in real-time monitoring and troubleshooting of equipment. The article introduces the recognition method and specific process of equipment’s signal lights, LED number, pointer position and LCD letters based on image recognition technology and looks to the broad application prospects of image recognition technology.

Keywords


Digital Image Processing, Image Recognition, Electric Power Industry Equipment, MATLAB

Publication Date


2016-11-18 00:00:00


DOI
10.12783/dteees/peee2016/3709

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