低压断路器智能测控系统中螺母的图像识别  

Image recognition of screw nut in intelligent control system of low-voltage breaker

作　　者：耿璐[1] 李睿[2] 

机构地区：[1]上海工程技术大学中韩合作多媒体设计学院,上海201620 [2]上海工程技术大学计算中心,上海201620

出　　处：《计算机工程与设计》2011年第10期3461-3464,共4页Computer Engineering and Design

基　　金：上海高校选拔培养优秀青年教师科研专项基金项目(B-8500-09-0137)

摘　　要：为了对低压断路器智能测控系统中螺刀套筒快速对准断路器的螺母,从而进行自动化的过载保护测试,提出了采用图像识别技术的解决方案。通过了解过载保护测试过程的要求,采用红外CCD摄像机对低压断路器的双金属片上六边形螺母进行实时视频捕捉,基于开源计算机视觉类库对图像进行处理,实现对六边形螺母中心点的识别。同时,通过编写OPC客户端程序建立与PLC控制的螺刀套筒移动平台之间的通讯,对螺刀套筒位置的精确定位。通过在低压断路器智能测控系统上的测试,验证了此方法的可行性。Image recognition technology is adopted in the project to quickly align the screw-driver and the screw nut of a low-voltagebreaker and to test its automatic overload protection. Through understanding the requirements for the process of testing the overload protection, infrared CCD camera is applied to capture the image of the screw nut in bimetals of the low-voltage breaker and based on the OpenCV, the image is processed, thus realizing the recognition of the mid-point of the screw nut. In the meantime, the precision positioning of the screw-driver is made with the program of OPC Client to conduct communication with the shifting platform of the screwdriver controlled by PLC. The feasibility of the solution is confirmed by low-voltage breaker. testing the performance of the intelligent control system for the

关 键 词：低压断路器 过载保护 红外电荷耦合器摄像机 图像识别 开放源代码计算机视觉类库 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]