基于数字图像处理的电力设备自动识别研究

Research on the Automatic Identification of Power Equipment Based on Digital Image Processing

论文首先对电网体系中设施的在线监测应用范围、国内外机构以及企业公司对其研究现状进行概述说明,强调了电网设施在线实时状态监测技术的推广意义和实际运营价值。之后针对图形成像检测技术的相关理论原理进行分析,探讨物体的图形成形和辨识的规律特征,明确了运用图像辨识的理论基础以及图像处理转换的产生机制,通过多个方面的研究和分析,确定了图像辨识检测技术在电气设备检测方面的技术特性以及可靠精准度。继而推断出两者相结合运用于电网体系的设施在线监测方案的研究意义和施用价值,并针对性地制定了电网设施监测的总体布局方案,以期大幅度提升状态监测的精准度和系统的响应效能,降低工作人员的负担强度。

Firstly,this paper summarizes the application scope of on-line monitoring of facilities in power grid system and the research status of domestic and foreign organizations and enterprises,emphasizes the popularization significance and practical operation value of on-line real-time monitoring technology of power grid facilities,and then analyzes the related theory of graphic imaging detection technology,and discusses the regular features of object shape forming and identification,clarifies the theoretical basis of image identification and the generation mechanism of image processing and transformation.Through multiple aspects of research and analysis,the technical characteristics and reliability and accuracy of image identification and detection technology in the detection of electrical equipment are determined.Then it deduces the research significance and application value of the online monitoring scheme of facilities combined with the two methods in the power grid system,and develops the overall layout scheme of power grid facilities monitoring,so as to greatly improve the accuracy of state monitoring and the response efficiency of the system,and reduce the burden intensity of the staff.