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机构地区:[1]杭州浙大精益机电技术工程有限公司,浙江杭州311121 [2]浙江商业职业技术学院,浙江杭州310053
出 处:《机电工程》2014年第6期787-789,799,共4页Journal of Mechanical & Electrical Engineering
摘 要:针对卷板生产过程中产品标识存在错误率较高的问题,在对目前多数卷板生产企业实际工况及采用的标识方法进行分析的基础上,研究开发了一套基于机器人技术的自动卷板喷标系统。根据现场要求,提出了机器人卷板喷标系统的总体方案,对喷标系统硬件及软件进行了设计,对机器人选型、信息交互以及字符的形成过程等关键问题进行了分析。研究结果表明,基于机器人技术的自动卷板喷标系统既能提高卷板产品标识的准确性及质量追溯的成功率,又能降低劳动强度,同时提高标识规范性,为后期的仓储及管理自动化提供技术保障,有较大的推广应用价值。Aiming at high error rate during identification process of coil production, the actual working conditions and commonly used identification methods in most coil manufacturers being analyzed, a set of coil painting system based on robot technology was developed. In accordance with requirements of working site, the overall plan of the coil painting system was presented, software and hardware were engineered, and critical questions such as robot model selection, information interaction and formation of characters were studied. The results indicate that coil painting system based on robot technology, with great value of promotion and application, increases accuracy of product identification and success rate of product tracking, reduces labor intensity and enhances standardization of marking, thus providing technical guarantee for future storage and automatic management.
分 类 号:TH39[机械工程—机械制造及自动化] TP273[自动化与计算机技术—检测技术与自动化装置]
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