电源技术2018，Vol.42Issue(4)：597-600,4.
智能配电房危险情况的图像特征识别方法
Image feature recognition method for dangerous situation in intelligent substation
朱正国 1何斌斌 1薛荣 1邓琨 2魏恩伟2
作者信息
- 1. 深圳供电局有限公司,广东深圳518048
- 2. 深圳市康拓普信息技术有限公司,广东深圳518034
- 折叠
摘要
Abstract
The unmanned management for the intelligent substations is an important direction of smart grid.The image feature recognition method combined BRISK algorithm and increasing the translation factor method was proposed for dangerous situation in the intelligent substation,the real-time image in the intelligent substation was bleached,the effect of the white spot on the image characteristics in the substation was removed,and the Zernike moment of the real-time image in the intelligent substation was gotten by using the projection method.On this basis,the image frequency domain information in the intelligent substation was obtained by using the wavelet multi-scale analysis method;the dangerous situation in image was recognized by using BRISK algorithm and method of increasing the translation factor.The simulation experimental results show that the method can recognize the related characteristics,and its recognition time,efficiency and precision are better than general monitoring system.关键词
智能/配电房/危险/图像特征/识别方法Key words
intelligence/substation/danger/image feature/recognition method分类
信息技术与安全科学引用本文复制引用
朱正国,何斌斌,薛荣,邓琨,魏恩伟..智能配电房危险情况的图像特征识别方法[J].电源技术,2018,42(4):597-600,4.
