基于机器视觉的电力电缆监造自动化管控系统设计

Design of automatic control system for power cable supervision based on machine vision

为了提高电力电缆监造自动化管控能力,提出基于机器视觉的电力电缆监造自动化管控系统设计方法。建立视觉信息图像的边缘特征提取模型,提取边缘特征量,采用边缘像素融合特征识别技术进行电缆监造自动化管控机器视觉的信息融合处理。基于融合结果,设计视觉特征检测模型,并在Visual C++视景仿真平台中实现对电缆监造自动化管控的三维视觉特征重构,通过空间三维辨识方法,进行电力电缆管控信息的特征辨识优化,从而实现对电缆监造自动化管控机器的视觉识别,并根据视觉信息特征辨识结果实现电缆监造自动化管控优化。仿真结果表明,采用该方法进行电缆监造自动化管控的可靠性较好,视觉重构绘制时间较短。

In order to improve the automatic management and control ability of power cable supervision, the design method of automatic management and control system of power cable supervision based on machine vision is proposed.The edge feature extraction model of visual information image was established to extract the edge feature quantity, and the edge pixel fusion feature recognition technology was used to carry out the information fusion processing of the automatic control machine vision of cable supervision.Visual feature detection model based on the fusion results, design, and implementation in the Visual c++ Visual simulation platform for cable manufacturing automation control to reconstruct 3 d Visual characteristics, through space three-dimensional identification method, the characteristics of the power cable to control information identification optimization, so as to realize Visual identification of cable manufacturing automation control of machine, and according to the characteristics of Visual information identification result realize cable manufacturing automation control optimization.The simulation results show that this method has better reliability and shorter visual reconstruction rendering time for automatic control of cable manufacturing supervision.