摘要
工业车辆的配电柜和电气箱中有大量的控制器和元器件,涉及大量的连接线和接口,在生产和调试过程中极易产生虚接、短接等缺陷,在运行中存在巨大隐患;对手机端的红外发热检测技术进行研究,以检测设备试运行或运行的初期发生的异常发热情况,采用知识库创建,图像获取,图像距离获取算法,图像融合参数校准算法,图像融合算法和发热检测算法的检测方法,解决了车上设备检测空间狭小和基于便携式设备检测引发的拍摄距离和拍摄角度不确定的难题;采用基于手机摄像头和红外摄像头的集成设备进行图像检测,测温精度±2℃,位置精度±3像素,满足了车上设备异常发热检测的需求。
There are a large number of controllers and components in the distribution cabinet and electrical box of industrial vehicles,involving a large number of connecting lines and interfaces,which are easy to produce defects such as virtual connection and short circuit in the process of production and commissioning,and there are huge hidden dangers in operation.The infrared heat detection technology of mobile phone terminal is studied to detect the abnormal heat in the initial stage of test run or operation of the equipment.The detection methods of knowledge base creation,image acquisition,image distance acquisition algorithm,image fusion parameter calibration algorithm,image fusion algorithm and heat detection calculation method are used to solve the problem of narrow detection space of the equipment on the vehicle and the detection based on portable equipment The difficulty of uncertainty of shooting distance and angle caused by measurement.The integrated equipment based on mobile phone camera and infrared camera is used for image detection.The temperature measurement accuracy is±2℃and the position accuracy is±3 pixels,which meets the needs of abnormal heat detection of equipment on the vehicle.
作者
郑启亮
姜金岭
吕思宇
Zheng Qiliang;Jiang Jinling;LüSiyv(CRRC Qingdao Sifang Co.,Ltd.,Qingdao 266100,China;Beijing AMC Co.,Ltd.,Beijing 100041,China)
出处
《计算机测量与控制》
2020年第11期32-36,共5页
Computer Measurement &Control
关键词
异常发热检测
便携设备
红外图像
图像融合
abnormal fever detection
portable equipment
infrared image
image fusion
