基于MAS的故障诊断模型与实现研究

起源于分布式人工智能的多Agent系统(Multi-Agent System，MAS)，是近年来飞速发展的技术，将多Ageat技术引入复杂故障诊断领域，是求解复杂过程的故障诊断问题的一种新的尝试。讨论了基于MAS的分布式智能诊断方法和过程，设计了一种Agent诊断系统结构及其原型系统，对诊断问题任务辨识、分解、各Agent的内部诊断机制、多Agent间的交互、协作、关联模型以及诊断决策问题等进行了深入研究。在某企业安全监控系统的应用中，该模型能快速、准确地进行故障成因分析，并给出合理的、建设性的决策意见。     

基于多Agent的远程协作故障诊断模型研究与设计

随着Agent技术的发展,出现了多种基于多Agent远程协作故障诊断模型,但它们不能很好地满足实时性要求较高系统的需求,因此本文以诊断Agent为基础,构建了基于多Agent的远程协作故障诊断模型,并对模型采用了层次划分,根据各层Agem的功能,采用合同网协议对Agent间任务进行分配协作,提高了系统故障诊断速度,从而为远程故障诊断的实现提供了支持.     

基于多Agent的远程协作故障诊断模型研究与设计

随着Agent技术的发展,出现了多种基于多Agent远程协作故障诊断模型,但它们不能很好地满足实时性要求较高系统的需求,因此本文以诊断Agent为基础,构建了基于多Agent的远程协作故障诊断模型,并对模型采用了层次划分,根据各层Agent的功能,采用合同网协议对Agent间任务进行分配协作,提高了系统故障诊断速度,从而为远程故障诊断的实现提供了支持。     

基于MAS理论的装检机器人系统模型

建立了多智能体机器人系统模型,从逻辑学的角度对系统模型的各部分进行了定义和描述.根据具体情况的不同,系统中的Agent体系结构不尽相同,对于不同结构的Agent,本文进行了约束性描述,同时给出了各个Agent之间的协同策略.以装检机器人为模型,对系统构成进行了分析,并给出了试验验证结果.结果表明,MAS理论在多主体机器人系统中的应用可以提高系统的可靠性,具有较好的可扩展性和维护性.     

轨道交通多Agent监控诊断维护支持系统

针对城市轨道交通运行过程中设备监测、信息采集、故障诊断的数据不全面、反馈不及时等问题,提出基于MAS(multi-agentsystem)的轨道交通智能控制-故障诊断-维护支持系统方案。该方案通过Agent与Agent之间协调优化实现轨道交通的分布式、协调化、集成控制与管理。描述了该系统的总体框架、网络结构,最终实现面向安全、维修、调度、管理等信息化业务的轨道交通信息采集、诊断和维护。     

基于Multi-Agent的智能教学系统的设计与实现

结合Multi-Agent的发展优势,提出一种新的基于Multi-Agent方法的改进智能教学系统模型,并对Agent的实现接口做了定义。最后,提出MAITS的改进方向,并对其在教育界的更深层次发展做出展望。     

基于MAS的船舶修理企业生产管理模型研究

针对当前船舶修理过程的特点和存在的问题,结合目前船舶修理企业的现状,提出了基于Multi Agent System(MAS)的船舶修理企业生产管理模型,建立了管理Agent (MA)、报价Agent(QA)、修理单Agent(OA)、生产Agent(PA)、检测Agent(IA)和安全Agent(SA),并论述了各Agent的功能.同时,基于MAS构建PA,PA包括资源Agent(RA),外包工人Agent(WA)和任务Agent(TA).各Agent之间信息共享和传递,实现数据流和业务流的集成.     

基于Agent的军用大型复杂系统建模与仿真

大型复杂系统是21世纪的核心技术之一，而军用复杂系统是各发达国家优先考虑的发展对象。在此背景下，简述了Agent的组成和原理，并对Agent用于军用复杂系统的建模过程进行了深入细致的分析，给出了复杂系统仿真模型和仿真结果，对仿真结果进行了分析。     

基于MAS架构的呼叫中心系统的实现

呼叫中心 (Call Center)是一个复杂、高性能、实时的分布系统 ,利用 MAS技术实现呼叫中心体系架构能够充分满足呼叫中心系统对性能的要求 .本文设计并实现了一个基于MAS(Multi- Agents- System)框架的呼叫中心通讯平台—— SMAPS,并着重阐述了 Agent之间的通讯 .     

车间可更换单元诊断模型及其在自动测试系统中的应用

针对复杂电子设备车间可更换单元故障诊断的原理和需求,提出了一种新的车间可更换单元诊断模型.该模型能较好地描述信号传递的路径,能有效地解决外场可更换单元内部各车间可更换单元之间信号连接关系复杂带来的诊断困难.该模型适合应用于自动测试系统中,有利于建立标准化的诊断程序,并提高诊断效率和诊断精度.对模型的研究也可以为工业部门提供可测试性设计的建议.     

A multi-agent system for chemical supply chain simulation and management support

Modern chemical production is customer-driven and the desired delivery time for the products is often shorter than their campaign length. In addition, the raw materials supplying time is often long. These features make it desirable to provide tools to support collaborative supply chain decision making, preferably over the Internet, and where there are conflicts, compromise decisions can be quickly reached and the effects of the decisions can be quantitatively simulated. This paper des cribes such a multi-agent system (MAS) that can be used to simulate the dynamic behaviour and support the management of chemical supply chains over the Internet. Geographically distributed retailers, logistics, warehouses, plants and raw material suppliers are modelled as an open and re-configurable network of co-operative agents, each performing one or more supply chain functions. Communication between agents is made through the common agent communication language KQML (knowledge query message language). A t the simulation layer, the MAS allows distributed simulation of the chain behaviour dynamically, so that compromise decisions can be rapidly and quantitatively evaluated. Because in a chemical supply chain the scheduling of the plant often dominates the chain performance, an optimum scheduling system for batch plants is integrated into the MAS. The functions of the system are illustrated by reference to a case study for the supply and manufacture using a multi-purpose batch plant of paints and coatings.     

An agent-based information architecture for shop-floor control

The principal aim of this paper is to develop a highly flexible shop-floor control system architecture using software agents which communicate with one another using the peer-to-peer paradigm. A shop-floor control system is responsible for the coordination of material and information flow in the manufacturing system as well as for communicating with the suppliers and the distributors or customers. It has to make several dynamic decisions like release of parts into the system, scheduling and routing of parts and transportation, machine selection, rerouting in case of failures etc. In our proposed control system such decisions are made bysoftware agents which are equipped with local databases and independent computing power and a reliable communication interface. The different agencies and agents that make up the control system are discussed in this paper. In this proposed system, a part agent (as part of the part agency) enters the factory floor with process requirements, contacts the task assignment agent for the process plan, the monitoring agent for the status of the system, the scheduling agent for the detailed schedule, and the router agent for transportation before finally proceeding to get served. Mechanisms for handling issues like scheduling, routing, and failures have been discussed. Java and its underlying programming concepts form the backbone of our agent architecture. Agents use KQML (knowledge query and manipulative language) constructs for sending queries and KIF (knowledge interchange format) constructs for representing knowledge and exchanging information. Our system has several advantages over other control architectures and it is highly likely that future factory floor control systems will follow similar paradigms.     

An agent-based information architecture for shop-floor control

The principal aim of this paper is to develop a highly flexible shop-floor control system architecture using software agents which communicate with one another using the peer-to-peer paradigm. A shop-floor control system is responsible for the coordination of material and information flow in the manufacturing system as well as for communicating with the suppliers and the distributors or customers. It has to make several dynamic decisions like release of parts into the system, scheduling and routing of parts and transportation, machine selection, rerouting in case of failures etc. In our proposed control system such decisions are made bysoftware agents which are equipped with local databases and independent computing power and a reliable communication interface. The different agencies and agents that make up the control system are discussed in this paper. In this proposed system, a part agent (as part of the part agency) enters the factory floor with process requirements, contacts the task assignment agent for the process plan, the monitoring agent for the status of the system, the scheduling agent for the detailed schedule, and the router agent for transportation before finally proceeding to get served. Mechanisms for handling issues like scheduling, routing, and failures have been discussed. Java and its underlying programming concepts form the backbone of our agent architecture. Agents use KQML (knowledge query and manipulative language) constructs for sending queries and KIF (knowledge interchange format) constructs for representing knowledge and exchanging information. Our system has several advantages over other control architectures and it is highly likely that future factory floor control systems will follow similar paradigms.     

基于智能多代理的复杂场景钢坯字符切分算法

在生产线钢坯检测识别过程中,如何准确地切分生产线实际复杂场景下的钢坯端面字符是一个高度复杂的智能问题.为了解决这一复杂问题,本文提出了一种基于智能多代理者的字符切分处理方法,将分控制层中的字符区域分割与切分、区域合并、区域分裂、特征计算等功能子程序作为个体代理者,主控制层作为主控代理者对这些个体代理者根据具体需要进行统一分工协调,同时各子代理者的切分信息反馈给主控代理者作为分析、控制各子代理者的重要因素,进而完成钢坯号字符的精确切分.实验结果表明,本文提出的算法能对复杂场景中的钢坯字符完成精确的切分,具有良好的稳定性与准确性,解决了复杂场景中的钢坯字符准确切分的问题,为后续钢坯字符的识别提供了保证.     

A review of “Advances in Computer-Integrated Manufacturing.” Edited by Peter J. Sacket (JAI Press Ltd., 1990) [pp. 188]. Price £ 48, US $ 81·95.

Global competition and rapidly changing customer requirements are forcing major changes in the production styles and configuration of manufacturing organizations. Traditional centralized manufacturing systems are not able to meet such requirements. This paper proposes an agent-based approach for dynamically creating and managing agent communities in such widely distributed and everchanging manufacturing environments. After reviewing the research literature, an adaptive multi-agent manufacturing system architecture called MetaMorph is presented and its main features are described. Such architecture facilitates multi-agent coordination by minimizing communication and processing overheads. Adaptation is facilitated through organizational structural change and two learning mechanisms: learning from past experiences and learning future agent interactions by simulating future dynamic, emergent behaviours. The MetaMorph architecture also addresses other specific requirements for next generation manufacturing systems, including scalability, reliability, stability, maintainability, flexibility, real-time planning and scheduling, standardized communication, fault tolerance, and security. The proposed architecture is implemented as a multi-agent virtual manufacturing system, in simulation form, which incorporates heterogeneous manufacturing agents within different agent-based shop floors or factories. The experimental results have shown the potential of the agent-based approach for advanced manufacturing systems.     

支持供应链管理的多主体系统

供应链是由不同利益主体构成的网络。介绍了多主体系统的概念,提出多主体系统在供应链管理中的应用,描述了该系统的结构框架,以及系统中各主体的功能,并且分析了它们之间的交互作用。     

基于MAS的敏捷供应链谈判模型

通过分析敏捷供应链的业务流程,建立了一个多Agent的敏捷供应链的谈判模型,并将敏捷供应链双边谈判中买卖双方表示成两个谈判Agent.任选其中买方谈判Agent的状态转换过程抽象为动作规划,并把它形式化为一个模糊自动机.在分析了Agent谈判的过程之后给出了谈判Agent的体系结构,并给出了该谈判模型的应用案例,为建立实用的Agent谈判系统奠定了理论依据.     

Multi-agent systems applications in manufacturing systems and supply chain management: a review paper

This paper offers a review of the development and use of multi-agent modelling techniques and simulations in the context of manufacturing systems and supply chain management (SCM). The objective of the paper is twofold. First, it presents a comprehensive literature review of current multi-agent systems (MAS) research applications in the field of manufacturing systems and SCM. Second, it aims to identify and evaluate some key issues involved in using MAS methods to model and simulate manufacturing systems. A variety of different MAS applications are reviewed in three different classified research areas: production design and development, production planning and control, and SCM. In presenting a detailed taxonomy of MAS applications, the paper describes MAS application domains from five different perspectives. The review suggests the MAS approach represents a feasible framework for designing and analysing real-time manufacturing operations, since the approach is capable of modelling different levels of agent behaviour and dynamical interactions. The paper also highlights a number of key issues which have to be taken into account in attempting to design MAS-based research paradigms for future applications in manufacturing systems.     

基于多代理和遗传算法的协同生产调度研究

针对经典作业车间调度(Job-Shop Scheduling)问题的局限性,结合实际生产情况,提出了基于多代理机制的供应链环境下的企业间的协同生产调度(Cooperated production scheduling)系统的体系结构,结合多代理的灵活性和遗传算法的全局优化性,阐述了一种基于多代理和遗传算法的协同调度系统,并寻求适合于这种供应链环境的优化调度方案.