机器视觉用于集装箱吊具定位系统设计  

Design of positioning system for container spreader based on machine vision

作　　者：漆静[1] 程文明[1] 刘华森[1] Qi Jing;Cheng Wenming;Liu Huasen

机构地区：[1]西南交通大学机械工程学院

出　　处：《起重运输机械》2019年第15期110-114,共5页Hoisting and Conveying Machinery

摘　　要：针对国内集装箱起重机操作人员凭经验完成吊具与集装箱、集装箱与卡车的对位作业,其工作强度高、装卸效率低、自动化水平不足、易产生安全事故的问题,对双目机器视觉用于集装箱吊具定位系统的工作原理与图像处理等方面进行了理论分析和实验研究,完成了系统整体构建,达到了预期系统设计目标。在实时图像处理、恶劣天气条件下预处理图像方法、集装箱颜色自动识别等方面提出了解决方案,为双目视觉实时处理技术提供了软件系统平台。Because the domestic container crane operators complete the alignment operation between the spreader and the container,container and truck by experience,which has high working intensity,low loading and unloading efficiency,insufficient automation level,and easy to produce safety accidents,this paper has carried out theoretical analysis and experimental research on the working principle and image processing of binocular machine vision used in the container spreader positioning system,completed the overall construction of the system,and achieved the expected system design goal.Solutions are proposed in real-time image processing,image preprocessing methods under severe weather conditions,automatic container color recognition and other aspects,providing a software system platform for binocular vision real-time processing technology.

关 键 词：集装箱 机器视觉 图像 定位系统 

分 类 号：U653.921[交通运输工程—港口、海岸及近海工程]