基于SURF智能图像识别算法的变电设施管理研究

Substation Facility Management Based on SURF Intelligent Image Recognition Algorithm

我国电网技术正朝向信息化与智能化趋势发展,针对性的管理平台研究是当前最为行之有效的电力相关工程施工与升级方式之一。基于图像识别与物联网技术设计了一个的变电设施管理系统,其以SURF识别算法提取图像特征点并通过欧式距离法计算特征向量,进而快速地识别变电设施图像,以所建立的变电设施管理系统向现场施工人员提供工程情况、设施状态等多样化信息。同时在混合架构下开发智能应用程序,以支持多种智能移动终端设备使用。本系统的开发与使用可提高涉及变电设施工程的施工效率,进而降低相关工程施工、改建与监理成本。最后针对某变电站测试所设计的变电设施管理系统,验证系统可靠性与有效性。

China's power grid technology is developing towards informatization and intelligence.Targeted management platform research is one of the most effective construction and upgrading methods of power related projects.Based on the technology of image recognition and internet of things,a new substation facility management system is designed,which extracts the image feature points with surf recognition algorithm and calculates the feature vector through the euclidean distance method,so as to quickly identify the substation facility image,and use the established substation facility management system to provide diversified information such as engineering situation and facility status to the on-site construction personnel.At the same time,intelligent applications are developed under the hybrid architecture to support the use of a variety of intelligent mobile terminal devices.The development and use of this system can improve the construction efficiency of substation facilities,and then reduce the construction,reconstruction and supervision costs of related projects.Finally,the substation facility management system designed for a substation test institute verifies the reliability and effectiveness of the system.