基于ARM的清洁机器人障碍检测系统设计与实现

介绍了一种基于ARM的清洁机器人障碍检测系统设计方案,提出了以嵌入式系统为核心,以ARM处理器为主控制器,以视觉传感器检测障碍的清洁机器人障碍检测系统总体方案,并给出了硬件设计方案及软件设计框架。最后进行了实验测试,实现了清洁机器人视觉障碍检测功能,实验结果验证了系统方案的可行性。     

以知识管理为中心的办公自动化系统构建

提出了企业办公自动化系统建设中有待解决的问题,以及知识管理为中心的办公自动化系统建设的指导思想;以知识密集型企业的办公自动化系统建设为例,构建了以综合知识库为核心的办公自动化系统架构,详细介绍了各系统的主要功能结构。     

8031单片机数据采集系统

本文介绍了以8031单片机为控制核心的数据采集系统。该系统以对温度的采集、处理、显示和打印为例,具体介绍了系统硬件线路的配置原理、数据采集和处理的方法,并给出了控制程序,最后阐述了系统的调试方法和步骤。实践证明,该系统实用可靠。     

混凝土搅拌站自动控制系统的设计与实现

介绍了一种混凝土搅拌站自动控制系统,此系统以工控机为上位机,以单片机系统为下位机,提供了一种实用的混凝土搅拌站自动控制系统方案。     

基于DCS的循环流化床锅炉FSSS系统的实现

简要的介绍了循环流化床锅炉以及其保护系统FSSS的基本知识。以越南林同铝厂热电站的DCS控制系统项目为背景较为详细地介绍了如何在Honeywell的DCS系统中实现FSSS系统的功能,并且对FSSS系统的具体逻辑实现进行了详细的讲解。     

基于DSP的光学探测陀螺稳定系统的设计与实现

设计了一种以DSP为处理核心的高精度的光学探测陀螺稳定系统。介绍了以CCD图像和旋转变压器测角组成系统位置闭环,以光纤速率陀螺作为惯性速率反馈传感器组成系统速率闭环的复合控制系统以及系统的软硬件设计。     

公共建筑采暖节能温度智能控制系统的设计

以冬季人们的供暖需求为背景,以节能为目的,设计了以微处理器为核心的温度智能控制系统。该系统利用嵌入式系统具有的安装方便、操作便利、可靠性高的特点,使楼宇内温度能够得到实时监督和控制。与传统方法相比,系统更加经济化和智能化。试验表明,系统节能效果明显,达到了预期的设计目标。     

一种新型的汽车制动性能微机检测系统*

针对目前以单片机为核心的智能化系统和以PC机为核心的微机检测系统的不足,提出了一种新型检测系统,并对该系统的硬件及软件设计关键技术进行了详细论述。实践证明,该系统能更好地满足汽车制动性能检测的实际需要。     

UML在图书馆短信催还系统中的应用

为有效提高高校图书馆的服务质量,提出了以短信方式为读者提供服务的服务理念。以图书馆短信催还系统的分析、设计为背景,探讨了UML在系统建模中的应用。以用例图表达系统需求,类图反映系统设计实现理念,时序图描述系统运行过程。并通过实际开发验证了UML在系统设计开发中的具体应用。     

配料专家系统知识库编辑和维护系统的设计

以烧结法氧化铝生料浆配料系统为机理,设计了一套适用于一般配料系统的知识库编辑和维护系统。系统以具体生产过程为基础,将浅知识和深知识相结合为一种表现形式,以产生式知识采表示,并对该系统的知识特点进行了阐述,然后从知识的特点出发分别建立了有关配料参数、状态、关系等字典,最后对系统的管理和维护功能和实现进行了说明。实际使用效果证明了该系统的可靠性。     

人工系统中数据–因素–算力–算法作用及相互关系研究

目前的研究认为人工智能的核心是数据、算法和算力,但因素在形成人工智能系统过程中是必不可少的。论文针对人工系统中的数据、算力、算法和因素的各自作用,及其相互关系进行了探讨和论证。从人工系统的内涵出发,描述人工系统的发展过程,认为目前和今后的人工系统必将具有人工智能特征,而实现人工系统要充分考虑上述四方面的相互作用。研究结果表明:数据是人工系统辨识因素的基础,也是形成算法的基础;因素是人工系统控制自然系统的方法及算法所需变量;算法体现了因素与数据关系,可描述人工系统结构;算力是解算算法的能力,也需考虑数据和因素的特征。因此因素在人工系统建立过程中与数据、算法和算力具有相同的重要性。它们具有明显的作用关系,且普遍存在于各个学科,是形成各学科理论基础体系的关键。     

RBE: A Rule-by-example Active Database System

In an active database system, rules are used to monitor and respond to events that happen inside the database. This paper presents the implementation of an active database system called RBE. The system loosely couples an OPS5 production system and an INGRES database management system to efficiently monitor databases on complex conditions. In this system, atable-based Rule-By-Example (RBE) language, is designed. The internal representations of the RBE rule language are production rules; therefore, rules can be stored, managed and tested efficiently by using the well-developed pattern matching algorithm in a production system. In other words, the system applies a production system and a special production system program to the task of query rewrite trigger processing. Moreover, a user-friendly interface is used to loosely couple the OPS5 rule system with the INGRES DBMS. The architecture used in this system shows the applicability of constructing an active database system by integrating any production system and any database system. Moreover, the proposed technique could be used as an implementation method for a query-rewrite rule system inside a DBMS server, not using a layered approach. © 1997 by John Wiley & Sons, Ltd.     

自焙槽铝电解智能控制下料系统

介绍基于铝电解过程中热平衡和物料平衡原理而设计的一种自动下料系统。这个系统首先在现场总线控制系统上建立一个开放的平台,然后在平台之上建立专家系统,实现自动下料。     

嵌入系统中断控制器的设计

嵌入系统不同于以往的通用系统,它具有高集成度、高专用性的特点。嵌入系统的设计者不再使用通用的中断控制器芯片,而是必须设计出适应于该嵌入系统需要的中断控制器模块。该文阐述了嵌入系统中断控制器高层次设计的设计思路和设计方法。对嵌入系统中断控制器的设计具有较好的指导作用。     

智能安全屏障-非正常工况管理系统简述

非正常工况管理(abnormal situation management,ASM)系统是建立在现有安全紧急停车系统之前的一道安全保护屏障,是石油化工过程风险控制的有效手段.在生产装置上应用ASM系统,可以实现操作状态偏离的快速识别,发现故障原因,并预测故障后果,最终给出排除故障的措施,有效提高操作人员处理过程非正常工况的能力.介绍了ASM系统的特点、组成框架与意义,并利用事件树分析法,分析ASM系统的引入对提高高温反应器系统安全状况的意义.     

论信息系统集成的实施

本文以笔者从事信息系统集成的经验为基础，讨论了信息系统集成的内涵，实施信息系统信成的三种模式及其利弊，适用场合，以及目前信息系统集成行业中存在的问题。     

JFFS2文件系统在嵌入式Linux根文件系统中的应用研究

Linux操作系统作为嵌入式系统近几年应用越来越广泛。根文件系统是嵌入式Linux的重要组件之一。本文探讨了JFFS2文件系统及嵌入式Linux根文件系统,并在具体的实验平台上实现了JFFS2格式根文件系统。最后对JFFS2文件系统在嵌入式Linux根文件系统应用中的优缺点进行了分析,并对不足之处提出了解决和改进思路。     

Development of an expert system for optimizing natural gas pipeline operations

This paper presents an expert system as a decision support tool to optimize natural gas pipeline operations. A natural gas pipeline control system is a controlling system that involves many complicated operating processes. Since a dispatcher (who operates the system) might not be able to handle all of his or her tasks consistently, an expert system has been developed for optimizing the operations by providing consistent, fast and reliable decision support to the dispatcher. Consequently, inconsistency in the dispatcher's performance can be minimized. To build an expert system, the knowledge from an experienced dispatcher, who is familiar with the process in this controlling system is acquired and that knowledge has been implemented as rules in the knowledge base of the expert system. When this expert system has been validated by gas pipeline experts, it can help inexperienced dispatchers to operate the processes more effectively. The expert system is implemented on the real-time expert system shell G2 (trademark of Gensym Corp. of USA). The system also consists of a user interface that helps dispatchers visualize system conditions.     

Three fundamental misconceptions of Artificial Intelligence

In discussions on the limitations of Artificial Intelligence (AI), there are three major misconceptions, identifying an AI system with an axiomatic system, a Turing machine, or a system with a model-theoretic semantics. Though these three notions can be used to describe a computer system for certain purposes, they are not always the proper theoretical notions when an AI system is under consideration. These misconceptions are not only the basis of many criticisms of AI from the outside, but also responsible for many problems within AI research. This paper analyses these misconceptions, and points out the common root of them: treating empirical reasoning as mathematical reasoning. Finally, an example intelligent system called NARS is introduced, which is neither an axiomatic system nor a Turing machine in its problem-solving process, and does not use model-theoretic semantics, but is still implementable in an ordinary computer.     

A knowledge-based approach to safety evaluation for plant start-up

To improve the safety of plant start-up operation, a safety evaluation system has been developed. As a key component in an operational design support system, the evaluation system examines any potential hazards during start-up operation simulation. The evaluation system is integrated into an operational design methodology which designs operable processes by proposing alternatives, examining process safety and operability, and modifying operating procedures or plant structures. Issues for both methodology and implementation of a G2-based expert system are discussed. Finally, the system is applied to an industrial hydrodesulphurization process.