恒星光干涉仪样机的总控系统

控制系统以SCO公司的UNIX ODT为软件平台,普通PC机为总控计算机,通用8098单 片机系统作为前端机组成一个主从式两级管理系统,与PC机相连的16通道多用户卡通过RS-232与14个前端机通讯,进行实时控制和处理。用C语言编写了该样机的总控软件,前端机的通讯程序和相关控制部件的控制程序。经过调试,实现了对样机的全自动控制。     

实验室质量体系的建立与运行

详细论述了质量和质量体系的基本概念、建立质量体系的必要性、质量体系的构成和建立过程、质量体系文件的编制、质量体系的运行和持续改进以及中国实验室国家认可委员会的有关政策。     

AOTF红外光谱测量系统及其设计分析

介绍了一种以声光可调谐滤光器(AOTF)为色散元件的新型红外光谱测量系统。系统采用计算机控制下的直接数字频率合成(DDS)技术，实现电调谐波长扫描。采用双光束相关检测技术，改善了系统的信噪比。文中对红外光谱测量系统的有关设计问题进行了论述。     

一种计算机实时控制系统的分析及其DCS实现

简述了计算机实时控制及分布式控制系统(DCS)的一般特点．并以某型水下机器人的控制系统为例，详细介绍了一种小型实时DCS系统的具体实现。     

抽油机井系统效率简析

油田生产中广泛使用抽油机采油,机械采油的系统效率主要有地面效率与井下效率。在实际生产中,地面效率容易检测、计算和调整,井下效率则取决于产液量、动液面、泵效以及管柱的状况。文章仅对抽油机井系统效率进行简单分析与计算,旨在为优化设计抽油机运行参数提供参考。     

关于建立城市智能交通实验研究中心的设想

基于联系国内外智能交通系统研究的具体实际，提出了建立城市智能交通实验研究中心的设想，并结合一个集成了视频和线圈信息采集方式的实验研究中心简单设计方案，对其所具有的基本功能作了初步研究和探讨。该系统兼具促进交流和有关培训等社会职能，可以作为国家智能交通事业发展过程中一种特殊的示范工程。     

脉冲式半导体激光器准直光学系统的设计

根据具体的探测环境和探测精度,通过理论分析,提出了脉冲式半导体激光器准直光束的单透镜设计方法和柱面透镜的设计方法,并且给出了具体的设计参数。可以获得高斯光束的准直发散角为1.48mrad;高斯光束的腰粗为0.325mm。     

Research and Development of a Network—Based Intelligent Maintenance Information System

A maintenance information system is an important part of equipment management.An intelli-gent maintenance information system(IMIS)is a synthesis of network technology,information technology and intelligent technology.The IMIS in used to finish flexible maintenance decision-making and fast main-tenance planning,which helps enterprises to effectively reduce maintenance cost and increase working effi-ciency.Because the IMIS integrates advanced technologies,its performance is better than a traditional one.The difference between an IMIS and a traditional maintenance information system,and the functions,struc-ture,important realizations,and application of an IMIS are discussed in this paper.     

系统仿真技术在控制系统中的应用

系统仿真技术是一种以对实际系统建立正确的数学模型为基础，以计算机为工具的对实际系统进行模拟的技术。计算机技术的高速发展，使系统仿真技术在各个领域中都得到了广泛的应用。以化工及工业锅炉自动控制系统中水箱系统的液位控制问题为例，阐述了系统仿真技术在自动控制领域中的应用。     

Prediction Model for BTA Deep-Hole Machining using Fuzzy Clustering Approach: Experimental Study

In this article, a subtractive clustering-based fuzzy identification method and a Sugeno-type fuzzy inference system are used for modeling in metal cutting. This approach is considered with its application on the experimental study of Boring and Trepanning Association (BTA) deep-hole drilling. The model for the surface roughness is identified by using the cutting speed and feed as input data and roughness as the output data. Using subtractive clustering in both input and output spaces performs the model-building process. Minimum error model is obtained through enumerative search of clustering parameters. The fuzzy model obtained is capable of predicting the surface roughness for a given set of inputs (speed and feed). Therefore, the operator can predict the quality of the surface for a given set of working parameters and will then be able to set the machining parameters to achieve a certain surface quality. The fuzzy model is verified experimentally by further experimentation using different sets of inputs. The tool life is also investigated using the same approach. The fuzzy inference system obtained is capable of predicting the tool life for a given set of cutting parameters. Therefore, the operator will be able to predict how many minutes the cutting tool is going to last and will set the time for the next tool change.