基于多智能体的现代制造系统建模技术

在对智能体的内涵及基本特性进行详细探讨的基础上，提出一种新的、动态的基于多智能体的制造系统建模方法。基于多智能体的制造系统模型框架是一个动态的、分布式智能体网络模型，可对环境变化作出快速响应，动态生成最优的产品制造方案，实现系统模型重构和资源重新配置。     

基于多智能体的现代制造系统建模技术

多智能体技术在制造领域的应用是一个新兴的研究热点.文章对智能体的特性进行了全面阐述,提出了一种新的、动态的基于多智能体的制造系统建模方法.基于多智能体的制造系统模型是一个动态的、分布式智能体网络模型,可以对环境变化做出快速响应,动态生成最优的产品制造方案,实现系统模型重构和资源重新配置.     

智能制造代表未来先进制造业发展方向

正2015年,国务院印发《中国制造2025》,部署全面推进实施制造强国战略,其中将智能制造作为主攻方向。国家工信部对智能制造的定义如下:智能制造是基于新一代信息技术,贯穿设计、生产、管理、服务等制造活动各个环节,具有信息深度自感知、智慧优化自决策、精准控制自执行等功能的先进制造过程、系统与模式的总称。上述定义明确了智能制造的概念包含"过程、系统、模式"三个层次,以"信息深度自感知、智慧优化自决策、精准控制自执行"为功能特征,通过网络互联打通端到端数据流,从关键制造环节和工厂两个层面实现智能化,从而在绿色发展的基础上,从速     

虚拟计算机集成制造系统(V-CMIS)的研究

介绍虚拟计算机集成制造系统的主要组成部分，阐述智能管理子系统、虚拟设计子系统和虚拟制造子系统的体系结构、构成框架和相互关系，以及基于C-S和B-S模式的分布式数据处理模式及网络构建方式。     

基于网络的智能制造系统控制机制

在分析当前制造系统的基础上,提出了基于网络的智能制造系统的分布式控制结构。并对结构中所包含的3层：交互层、任务管理层、执行层的功能结构以及相互之间的协调关系进行了阐述与说明。最后对该控制结构进行了模拟仿真,实现了制造系统的高度柔性和快速响应性。     

分布式网络化IMS的探讨与研究

本文介绍了IMS(智能制造系统)的基本原理和特点，并在其基础上对分布式网络化IMS系统的构建做出进一步的探讨和研究，并分析了IMS系统的关键技术。     

基于移动AGENT的敏捷车间调度控制系统建模

该文针对job-shop型车间的生产调度控制,提出了一种新的车间分布式动态控制系统。该系统利用多代理技术。把工件和制造设备等映射为一个个的代理;应用蓝牙无线通信技术和嵌入式微控制器技术研制成智能芯片,安装在工件和设备上,实现通信和智能代理功能;应用多代理技术实现车间分布式智能控制网络,达到车间系统的信息集成和分布式控制;应用遗传算法进行管理代理的快速决策。实践证明,本系统对于车间任务的动态变化和部分设备故障状态变化具有很好的适应能力。     

信息

2002 年 第 3 期 文 章 介 绍制造工厂技术与制造科学(二)基于Web网络环境分布式制造系统面向Internet的设备智能维护技术利用CPC与VPN技术构建虚拟制造系统特种制造业准时制用户驱动生产系统研究基于XML的企业产品数据服务中心研究制造系统数据采集技术研究金卤灯再启动特性测     

网络化制造资源的分布式语义描述模型研究

针对网络化制造环境下资源的分布式特性和异构性特性,提出了一种基于语义的分布式描述模型。构建了制造资源的分布式描述框架,定义了基于语义的网络化资源标识,使制造资源在网络系统中能够被唯一标识,并且可以通过链接来引用和访问。通过定义制造资源的语义元数据描述模型来构建制造资源本体,使制造资源具有物理上分布、逻辑上集中的分布式组织形式。以上述工作为基础,构建了某摩托车产品的制造资源描述本体,对模型的有效性进行了验证。     

分布式自主协同制造——一种智能车间运行新模式

为实现生产异常的实时监控、精准预测和快速响应,针对当前以制造执行系统为核心的传统车间运行模式一直存在的异常响应缓慢、决策实时性差、系统稳定性低等问题,提出一种智能车间运行新模式——分布式自主协同制造。阐述了智能车间的分布式自主协同制造的概念、体系架构和运行机制等,探讨了智能车间的分布式自主协同制造的关键技术和特点。最后指出,分布式自主协同制造模式为智能车间的实时管控和运行优化提供了一种有效途径,有可能成为未来复杂离散制造车间的主要运行模式之一。     

基于ARM的智能楼宇无线网络信息系统设计

提出了一种以嵌入式Linux作为操作系统,采用Java编程语言编写应用软件和图形化操作界面,采用802.11b标准规范的智能楼宇无线通讯网络系统。在小区内设立无线网络服务器,可实现小区内公共消息、语音、视频等在住户与物业管理中心之间的有效传输。     

Knowledge-evolutionary intelligent machine-tools —Part 1: Design of dialogue agent based on standard platform

In FMS (Flexible Manufacturing System) and CIM (Computer Integrated Manufacturing), machine-tools have been the target of integration in the last three decades. The conventional concept of integration is being changed into the autonomous manufacturing device based on the knowledge evolution by applying advanced information technology in which an open architecture controller, high-speed network and internet technology are included. In the advanced environment, the machine-tools is not the target of integration anymore, but has been the key subject of cooperation. In the near future, machine-tools will be more improved in the form of a knowledge-evolutionary intelligent device. The final goal of this study is to develop an intelligent machine having knowledge-evolution capability and a management system based on internet operability. The knowledge-evolutionary intelligent machine-tools is expected to gather knowledge autonomically, by producing knowledge, understanding knowledge, reasoning knowledge, making a new decision, dialoguing with other machines, etc. The concept of the knowledge-evolutionary intelligent machine is originated from the machine control being operated by human experts’ sense, dialogue and decision. The structure of knowledge evolution in M2M (Machine to Machine) and the scheme for a dialogue agent among agent-based modules such as a sensory agent, a dialogue agent and an expert system (decision support agent) are presented in this paper, with intent to develop the knowledge-evolutionary machine-tools. The dialogue agent functions as an interface for inter-machine cooperation. To design the dialogue agent module in an M2M environment, FIPA (Foundation of Intelligent Physical Agent) standard platform and the ping agent based on FIPA are analyzed in this study. In addition, the dialogue agent is designed and applied to recommend cutting conditions and thermal error compensation in a tapping machine. The knowledge-evolutionary machine-tools are expected easily implemented on the basis of this study and shows a good assistance to sensory and decision support agents.     

Advanced Industrial Engineering in Next Generation of Manufacturing Systems

The article deals with possible approaches to the development trends in the industrial engineering in manufacturing organizations. The authors emphasize the need for integration of advanced industrial engineering in the next generation of manufacturing systems, which responds to new trends of production, innovation and advanced technology. This integration represents a sustainable development, so that humanization of work are increased, more effective use of natural and energy resources are achieved and production costs are reduced. Trends in the products manufacturing must meet both industrial engineering as well as production management. The development trends in the industrial engineering in manufacturing organizations must use methods and tools of advanced industrial engineering to achieve competitiveness. The second part of this article deals with specification of these approaches in next generation of production systems.     

新技术革命与智能制造技术

结合新技术革命－－信息革命的特征，阐明制造业走向智能化是新技术革命下发展的必然趋势。从信息角度来说，智能制造系统是一个与环境有信息交换的自组织系统，是远离平衡态的耗散结构，同时强调人的智能在人机智能系统中的重要作用。     

智能制造系统的多Agent模型研究

提出了一个智能制造系统的多Agent模型，其中Agent代表基本的处理实体，Agent的特性用Petri网来表示。由于Agent具有自主性、社会交互性、反应能力和预动能力的特点，使得能够进行分布式决策，而系统的合作是通过通讯和协商解决的。Agent在交互的过程中被赋予角色，从而能够满足智能制造中复杂过程建模灵活性的需求，并能够构建一个可重用部件的扩展框架。     

智能加工系统中通信与协作规范探讨

研究了智能加工系统中通信机制，采用消息合技术提出了智能加工系统协作消息格式，探讨了智能加工系统基于多种协议规范的协同与合作的通用协议，智能加工设备信息交互的协作规范及其应用。     

离散型智能总装车间建设探索与实践

以一个实际的智能总装车间建设项目为依托,文中系统研究了智能制造技术在离散型总装车间中的应用.首先,介绍了国内外智能总装车间的发展现状,提出了离散型智能总装车间建设架构,给出了智能总装车间的总体建设思路.然后,从车间信息管理系统、脉动式总装生产线建设等方面,详细研究了智能总装车间建设的关键技术.最后,结合某雷达电子装备智...     

基于单片机的自主移动智能小车系统的设计

基于51单片机的自主移动智能小车系统能够在接收到上位机发送的目的地位置信息后,通过融合多模块和多传感器的反馈信息,完成路径规划和自动避障等,最终实现小车自主移动和目标点温度采集及其数据发送功能。测试结果表明该智能小车系统运行稳定,实时性良好,可以作为对智能机器人进行研究的平台。     

Application of an Autonomous Agent Network to Support the Architecture of a Holonic Manufacturing System

To remain a competitive force in the world market, manufacturing enterprises must design and produce new products in an effective way. To reduce the product launching time, manufacturing enterprises must be versatile, open to changes, and capable of designing and modifying their own facilities and processes efficiently for the design of new products. In this context, the concept of autonomous, adaptive, cognitive and cooperating entities known as "holons" is conceived which leads to the evolution of a holonic manufacturing system (HMS) where highly distributed control paradigms are adopted to alleviate the problems related to frequent process disturbances. In order to streamline the functioning of an HMS, it is necessary to form an efficient, flexible and responsive network of agents, which are intra-holonic entities that inherit the same characteristics as the holons. This network of agents can be termed an autonomous agent network. The agent is formed by the parties, which are the functional units of the holonic manufacturing system. The aim of this paper is to specify the communication protocols and subsequently synthesise and cluster the individual parties into autonomous agents in accordance with the basic constraints of a holonic manufacturing system. Here a fuzzy c-means clustering algorithm is proposed to club the parties to capture effectively the uncertainty and imprecision associated with them. Besides the grouping of the parties to form agents, the proposed fuzzy-based clustering algorithm ensures that the agents formed are more amenable to the dynamic environment prevailing on the shop floor of present day automated manufacturing systems and thus makes the essence of a holonic manufacturing system successful . Keeping in mind the imprecision, uncertainty, and conflicting nature of objectives, the proposed approach aptly models the problem, and its applicability is exemplified by a test problem. ID="A1"Correspondance and offprint requests to: M. K. Tiwari, Department of Manufacturing Engineering, National Institute of Foundry and Forge Technology, Hatia, Ranchi 834 003, India. E-mail: mkt09@hotmail.com     

Hybrid shop floor control system for Computer Integrated Manufacturing (CIM)

A shop floor can be considered as an important level to develop Computer Integrated Manufacturing system (CIMs). However, a shop floor is a dynamic environment where unexpected events continuously occur, and impose changes to the planned activities. To deal with this problem, a shop floor should adopt an appropriate control system that is responsible for the coordination and control of the manufacturing physical flow and information flow. In this paper, a hybrid control system is described with a shop floor activity methodology called Multi-Layered Task Initiation Diagram (MTD). The architecture of the control model contains three levels: i.e., the shop floor controller (SFC), the intelligent agent controller (IAC) and the equipment controller (EC). The methodology behind the development of the control system is an intelligent multi-agent paradigm that enables the shop floor control system to be an independent, an autonomous, and distributed system, and to achieve an adaptability to change of the manufacturing environment.