【作者】 高扬；

【导师】 刘明周；

【作者基本信息】 合肥工业大学 ， 工业工程， 2008， 硕士

【摘要】 论文针对当前车间生产过程监控能力不足的现状,在深入分析和研究车间生产过程监控的发展历程及现状的基础上,提出了基于多维向量点的生产车间可视化监控思想,并详细研究了系统实现的两大关键技术,即运用面向对象技术和三维建模软件构建车间模型库,以多维向量点描述生产车间设备、物料和人员,构建基于多维向量点的车间实时动态模型,实现车间生产过程可视化监控的建模技术;运用人机交互式信息采集和自动式信息采集相结合的方法,为车间生产过程可视化监控提供实时数据支持的多维向量点信息采集技术。最后,论文给出了基于多维向量点的生产车间可视化监控系统的概念模型,并在运用统一建模语言(United Modeling Language,UML)构建系统的用例模型以及数据库模型的基础上,构建了基于多维向量点的生产车间可视化监控系统,并对系统的各个功能模块进行了介绍。更多还原

【Abstract】 Based on the analysis of current dificiencies in workshop production, visual monitoring and control of workshop based on multi-dimensional vector point is proposed, and the two key technologies to accomplish the system are given. One of the two key technologies is modelling technology based on multi-dimensional vector point, which is based on workshop equipments, using the concept of multi-dimensional vector point to describe the objects in workshop. The other key technology is multi-dimensional vector point data collection technology, which is based on the multi-dimensional vector point model, using digital communication technology and network techonology to provide the real-time data to the visual monitoring and control of workshop production.At last, based on the building of notional model, function model and database model of the visual monitoring and control system of workshop based on multi-dimensional vector point, using united modeling language, visual monitoring and control system of workshop based on multi-dimensional vector point is built, and the modules of the system are introduced substantially.更多还原