Robotics in the factory of the future: AI in manufacturing: The NBS AMRF as an intelligent machine

Within its Automated Manufacturing Research Facility (AMRF), the U.S. National Bureau of Standards (NBS) is addressing research issues in interface standards for the fully automated factory of the future for the production of small batches of discrete parts. Consisting of robots, machine tools and computers, the AMRF is being integrated using a real-time, sensory-feedback, data-driven hierarchical control architecture. As such, the AMRF is a research tool for investigating the manufacturing enterprise as a system of intelligent machines. This paper: (1) describes the AMRF in terms of its real-time control system architecture; (2) notes the role of symbolic languages, knowledge-representation, sensory-processing and other aspects of artificial intelligence in its development; and (3) speculates on further application of AI in future intelligent manufacturing systems similar in form to the AMRF.     

海上石油平台陆地建造过程安全管理数据库系统开发

针对海上石油平台陆地建造过程的复杂性,开发了规范、完善的安全管理数据库系统。该系统为建造企业提供了新的管理手段和理念,极大的提高了劳动效率,有利于减少事故的发生。     

二次开发WinCC嵌入模糊控制算法

介绍了WinCC(WindowsControlCenter)的基本功能 ,详细阐述了如何利用WinCC的全局脚本编辑器 ,将用户自行开发的模糊控制算法嵌入WinCC中。通过WinCC与PLC之间的通讯 ,实现对某污水处理装置pH值的模糊控制     

等压灌注中液位控制影响因素及对策

通过分析等压灌注中影响液位的波动因素，找出关键控制点，并采取措施，以减少产品的液位波动。     

煤矿微机安全生产监测监控系统

本文介绍了分站式系统、无分站式系统以及复全式系统的特点，主要论述了复合式微机安全生产监测监控的结构、性能和应用。     

智能同步广播激励器及其标频

使用智能同步广播激励器,并采用CCTV传输的1MHz标频信号,就有可能实现自适应相位跟踪同步广播。这将大大节省中波段的频率资源。     

贝氏体钢内水冷穿孔顶头的粘钢及防止措施

从顶头生产工艺控制的角度,分析了贝氏体钢内水冷穿孔顶头产生粘钢的原因、特点和机制,指出掉鼻、缺肉是顶头粘钢的另一种更为严重的失效形式,强化熔炼工艺控制和保证夹杂物总量在A0.5B1C0.5D1级水平,粘钢问题可以得到有效控制。     

基于专家系统的机器人高层规划

本文介绍一个基于专家系统的机器人高层规划系统,阐述几个潜在应用子系统,并应用专家系统方法进行多机器人协调避碰运动规划。本系统具有良好的规划性能。     

矢量图形智能判断技术的研究与应用

研究矢量图形识别是建立工程制图自动阅卷与计算机辅助教学系统的基础。由于组成二维矢量图形图元类型的多样化及图形整体位置状态的不确定性，增加了矢量图形的识别与判断难度。结合开发的《三视图智能解答》系统，研究其智能识别与判断技术。系统中引入三视图导航技术，解决了图形整体定位与识别问题。实现了对矢量图形图元素信息的分类和提取，能够对所提取的的信息与标准答案进行智能判断与评定。该方法已在AutoCAD2000环境下使用AutoLISP语言编程实现。     

Backlog Control Design for a Closed Loop PPC System

In this paper a discrete dynamic model of a single workstation is used to design and analyse control algorithms for closed-loop PPC that improve performance, especially response to disturbances such as rush orders and periodic fluctuations in capacity, while ensuring that dynamic behavior remains favorable and robust. The presence of delays in adjusting capacity presents challenges in both dynamic analysis and control algorithm design that are addressed in the paper. Methods of control engineering, such as transfer function and frequency response analysis, are used to make analysis of fundamental system properties tractable and to improve control of dynamic behavior.