Integration framework for intelligent manufacturing processes

In this article, we describe a new approach to applying distributed artificial intelligence techniques to manufacturing processes. The construction of intelligent systems is one of the most important techniques among artificial intelligence research. Our goal is to develop an integrated intelligent system for real time manufacturing processes. An integrated intelligent system is a large knowledge integration environment that consists of several symbolic reasoning systems (expert systems) and numerical computation packages. These software programs are controlled by a meta-system which manages the selection, operation and communication of these programs. A meta-system can be implemented in different language environments and applied to many disciplines. This new architecture can serve as a universal configuration to develop high performance intelligent systems for many complicated industrial applications in real world domains.To whom all correspondence should be addressed.     

自动化科学与技术发展方向

本文结合中国自动化科学与技术的发展状况和中国绝大多数大学设有自动化专业的现状,借鉴自动化科学与技术发展历程中的成功经验,结合国家社会经济发展和国家安全对自动化系统的未来需求,以生产制造系统、重要运载工具和人参与的信息物理系统为主要对象,以自动化系统的发展方向—智能自主控制系统、智能优化决策系统和智能优化决策与控制一体化系统的愿景功能为目标,以研究实现愿景功能的建模、控制与优化新算法和新的自动化系统的设计方法和实现技术以及结合重大应用领域开展的应用研究为主线,提出了自动化科学与技术的发展方向,并结合新兴应用领域对自动化科学与技术的需求与挑战,提出了未来自动化科学与技术的发展方向.     

Automated prototyping tool-kit (APT)

Automated prototyping tool-kit (APT) is an integrated set of software tools that generate source programs directly from real-time requirements. The APT system uses a fifth-generation prototyping language to model the communication structure, timing constraints, I/O control, and data buffering that comprise the requirements for an embedded software system. The language supports the specification of hard real-time systems with reusable components from domain specific component libraries. APT has been used successfully as a research tool in prototyping large war-fighter control systems (e.g. the command-and-control station, cruise missile flight control system, patriot missile defense systems) and demonstrated its capability to support the development of large complex embedded software.     

远程自动控制系统中的安全性研究

随着控制系统日益向网络化、集成化、分布化及节点智能化发展，安全日益成为影响控制系统网络传输效能的重要问题。因此研究远程自动控制系统中的安全性是十分必要的，基于此本文主要研究了冶金系统工业远程实时数据共享系统中存在的安全问题及其解决办法，为自动控制生产中提供高级别的安全机制。     

基于Q学习的复杂程序动态依赖性分析

准确刻画不确定环境中复杂程序的动态特性，是传统程序分析理论和技术面临的难点，更是许多重要系统实现程序动态实时分析与控制过程亟待解决的问题。本文提出基于Q学习的复杂程序动态分析思想，构造了基于Q学习的复杂程序动态依赖性分析基本算法。并对复杂程序动态实时分析与控制技术的实现环节进行了研究，探讨了相关问题，从而使复杂程序动态分析与控制过程更精炼、更智能、更高效。     

OTTER: The design and development of an intelligent underwater robot

Recent advances in sensing and intelligent control technologies open a whole new dimension in underwater autonomy. However, before truly-capable, autonomous underwater robots can be created for subsea intervention and exploration, many research issues must be first investigated and developed experimentally on testbed platforms.OTTER is an underwater robot designed to be used as a testbed for autonomous technologies. Both OTTER's hardware and software systems are configured to support simultaneous development and testing of different concepts for underwater robotic by independent researchers. A general control-software framework enables common access to all subsystems and avoids the duplication of basic robotic functionality jointly required by all projects. Additionally, the new autonomous technologies enabled by the results of individual research are mutually compatible and can be easily integrated into a single robotic system. Examples of new technologies demonstrated on the OTTER underwater robot include control from a real-time vision-sensing system, coordinated arm/vehicle control, and control from 3D graphical user interfaces.     

集成ERP 的移动商业智能系统

集成ERP的商业智能虽然可以满足企业对海量数据进行智能分析与挖掘以辅助决策的需求,但依然难以随时随地提供实时数据以快速响应市场变化和进行有效决策.在现有商业智能研究基础上,提出了集成ERP的实时移动商业智能概念,运用中间件数据集成技术和面向服务架构,设计了一个扩展性强、低耦合和跨平台的移动商业智能系统体系架构,利用Android在智能移动终端上开发了一个与服务器端ERP系统相集成的商业智能系统,并通过实例对该系统在移动终端上的实现技术进行了详细的描述.     

车载冷却风扇智能控制系统设计

为提高汽车发动机冷却系统的性能,结合新型FlexRay车载网络总线技术,提出了一种车载冷却风扇智能控制系统的设计方案。该系统采用多参数复合的线性控制信号,即同时采集冷却系统温度数据和发动机工作状态参数,由MCU综合处理后输出PWM控制信号,实现了对冷却风扇的实时、高效控制。测试结果表明,该系统能够很好地实现多节点间数据的读写和传输,具备较高的实时性、可靠性和精确度。     

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.     

A knowledge-based system for information management in an automated and integrated manufacturing system

In recent years there has been considerable interest in flexible automation of manufacturing processes in an effort to improve the productivity of manufacturing industry. Central to an integrated, flexible and intelligent manufacturing system is the information management function. The sharing of data is the basis of flexible and intelligent decision-making, the means of integrating the system components, the mode of synchronizing their processes and the method of maintaining the consistency of their states.

It appears that the data management and manipulation function in manufacturing systems is increasingly becoming a bottleneck for further performance improvement of manufacturing systems. New information management systems need to be developed that meet the needs of modern manufacturing systems in terms of efficiency, flexibility, reliability and intelligence. A new model for an integrated manufacturing information system is presented. A double structure of two parallel but independent system is proposed for manufacturing control and manufacturing information management. The objective is to improve service efficiency. representational adequacy, consistency of information and reliability in the information system.     

物联网嵌入式智能设备实时控制系统设计

随着智能设备功能业务的逐渐扩展,用户对智能设备控制系统的实时性要求越来越高,当前控制系统采用CAN技术实现智能设备与用户间的通信,无法满足用户对系统实时性的需求。提出一种新的物联网嵌入式智能设备实时控制系统,通过构建系统的总体框架,将嵌入式LPC2378 ARM处理器作为核心处理器,通过RS-485总线将智能设备连接在一起,和处理器构成一个总线传输网络,在嵌入式LPC2378 ARM处理器中,将带DMA的10/100M以太网模块和以太网PHY芯片DP83848I连接,以提高数据包的传输效率,增强系统的实时性。系统GPRS模块选择SIM300CZ模块,将远程报警模块和RS-485总线结合在一起,共同实现远程报警和控制功能。软件设计时,给出了软件的整体架构和总体流程图,介绍了部分存储代码。实验结果表明,所设计系统对智能设备有很高的控制性能。     

网络化制造企业的异构系统集成控制模型

为提高制造系统的智能重构能力,快速地开发、设计和制造产品,提出网络化制造企业的异构系统集成控制模型;构建了基于公共对象请求代理体CORBA与多智能体系统MAS的企业内部集成控制体系结构,并论述了内部通信的实现机制;利用Web services技术,通过构建SOAP远程服务代理来实现合作企业间远程协同生产控制;并通过联网加工试验验证了所构建的集成控制模的可行性和实用性.     

智能工程与控制技术：历史,发展与未来

本文综述了智能工程和控制技术的发展历程和基本问题。文中着重论述了人工智能在过程控制系统中的必要性及开发实时智能控制系统的步骤；对符号推理系统、耦合推理系统、人工神经网络和集成分布式智能系统的特点和局限进行了比较。最后讨论了计算机集成过程系统（ＣＩＰＳ）的基本问题、基础技术和发展前景。     

基于Web的煤矿智能喷雾实时监控系统

针对目前煤矿上使用的喷雾系统存在的一些问题,提出了一种基于 Web 技术的煤矿智能喷雾井上实时监控系统设计方案,给出了系统组成、工作原理、主要功能及实现的关键技术。系统采用Web技术,可与煤矿其它系统有机集成。该系统不但能根据实时检测到的粉尘、烟雾、温度、瓦斯等情况实现自动喷雾,而且还可在地面实时监测井下的环境及工作状态,并且无须下井就能直接控制井下喷雾系统的运行。实际应用表明,该系统实现了井下环境监测、智能喷雾、地面实时监控的功能。     

基于ARM9的工业以太网控制系统智能节点控制器设计

文章提出了一种基于ARM9处理器S3C2410的工业以太网控制系统智能节点控制器的设计方案.该控制器作为工业以太网控制系统的现场控制级,采用Linux作为嵌入式操作系统.主要用于对现场设备进行监控,能够向上位级发送现场实时数据,并接受上位机发送的控制信息,对现场设备进行控制.     

An intelligent control and decision approach for adaptive systems

An intelligent control and decision-making (ICD) approach that integrates expert systems technology with adaptive algorithms is presented. The controller parameters of adaptive systems can be determined using human expertise and knowledge, and they can also be adjusted based on active monitoring and identification. Decision-making, fine tuning and inexact reasoning provide the end-user and the control engineers with a natural and integrated methodology for use with intelligent control systems. Computer simulation results demonstrate the utility of the proposed technique that is an effective intelligent control and decision approach. The ICD system is implemented using a Lisp based expert system shell on an IBM PC.     

基于物联网的变电站智能辅助系统应用研究

为适应国家电网公司"三集五大"体系的建设要求,符合调控一体化管理模式,提升变电站智能化水平,需要对变电站智能辅助系统进行多站一体化设计,以满足在调控中心监测和控制区域内对所有变电站的需求。文章首先对调控一体化模式进行了介绍,简单分析了物联网技术在变电站智能辅助系统中的应用现状;然后结合物联网技术设计了一种统一部署、多站应用的变电站智能辅助系统,并详细介绍了系统建设的方案和功能,为变电站智能辅助系统的发展提供一种新的思路和方向。     

多伺服电机智能化协调容错轨迹跟踪控制系统设计

针对一类具有执行器、传感器故障的多伺服电机控制系统,设计了相应的多伺服电机智能化协调容错轨迹跟踪控制系统.首先,提出了一种新结构的分布式中间估计器,修改了其设计结构,提高了估计方案的可行性.其次,通过在线强化学习估计策略,可以显著提高估计性能,其核心是自适应切换机制与源故障模式定位功能块的集成,并根据估计值设计了协调容...     

一种实用型智能恒温控制系统设计

DSI8B20是一种集温度测量和A/D转换功能于一体的新型一线式集成数字温度传感器.因其测量温度分辨率高,微功耗、抗干扰能力强,与单片机接口电路简单等优点,在工农业生产的智能恒温控制系统中被广泛应用.提出了一种DS18B20温度传感器与51核单片机相结合的智能恒温控制系统硬件结构和软件程序设计方法,具有较高的实用性.     

智能交通信息物理融合云控制系统

针对现代智能交通信息物理融合路网建设中的对象种类复杂、采集数据量大、传输及计算需求高以及实时调度控制能力弱等问题，基于云控制系统理论，以现代智能交通控制网络为研究对象，设计了智能交通信息物理融合云控制系统方案，包括智能交通边缘控制技术和智能交通网络虚拟化技术.基于智能交通流大数据，在云控制管理中心服务器上利用深度学习和超限学习机等智能学习方法对采集的交通流数据进行训练预测计算，能够预测城市道路的短时交通流和拥堵状况.进一步在云端利用智能优化调度算法得到实时的交通流调控策略，用于解决拥堵路段交通流分配难题，提高智能交通控制系统动态运行性能.仿真结果表明了本文方法的有效性.