基于虚拟组织和移动代理的网格认证机制研究

认证是网格安全的重要组织部分。在网格中,认证的基本场景包括：证书和证书链、身份认证、会话认证。基于虚拟组织和移动代理的网格特色是以虚拟组织为基本管理单元、以移动代理作为网格结点之间重要的交互手段。本论文的主要内容是把网格认证的基本场景内容引入到基于虚拟组织和移劝代理的网格中。基于虚拟组织的网格认证场景主要包括：用户登录虚拟组织、用户获取虚拟组织内部资源、用户获取虚拟组织外部资源。基于移动代理的网格认证场景主要包括：移动代理和移动代理平台之间交互、移动代理之间交互、移动代理迁移。     

一种基于角色代理的服务网格虚拟组织访问控制模型

给出一种基于角色代理技术的虚拟组织访问控制模型，与同类研究成果相比，在不降低自治域的安全管理效率的情况下，能够实现虚拟组织的细粒度授权和确保自治域的安全策略不被破坏．该模型的一个原型系统已经实现，并通过一个基于网格的低成本电子政务平台中的实例进行了验证．     

一种基于强信任关系的移动安全认证协议

建立强信任关系来实现对移动代理的安全认证方法,是保护移动代理平台在网格环境中免受恶意代理攻击的主要手段。由于网格的异构性以及虚拟组织之间没有信任传递关系,导致移动代理在跨虚拟组织迁移时,存在安全漏洞,所以结合基于D—S理论的资源信任度函数提出动态规划方案是符合网格结构需求的。该方法在移动代理进行迁移时,由移动代理与其所在的网格虚拟组织中的信任调度模块协同工作,完成移动代理的迁移任务,保护了移动代理不遭到恶意平台的攻击。     

"虚拟制造"重振武汉制造业

虚拟制造模式为企业和地区经济带来了又一次跨越式发展的契机。本文分析了武汉市制造业的现状、优势和不足，结合虚拟制造理论，从政府和企业两个角度阐述了如何利用虚拟制造的思想重振武汉制造业。     

网络化制造环境下虚拟遥现驱动的制造资源建模研究

远程制造资源的虚拟遥现和仿真是实现化制造的核心技术之一。探讨了虚拟制造系统的组织过程，着重分析了任务驱动的网络化制造模式下分布式制造场所和设备的远程虚拟遥现和组建方法，采用B／S结构实现了远程制造资源的VRML建模及EAI控制，并建立了相应的实验模型。同时提出了远程制造资源能力评估的一些基本方法。     

一个基于对象代理模型的多表现地理信息系统

文中提出了一种基于对象代理模型的实现多表现GIS的新方法。通过地理对象的代理对象来定义多表现，因此代理对象可以用来表示对象的视角多样性和角色多样性。通过对象更新迁移可以支持动态分类和系统一致性维护。另外，对象及其代理对象之间的双向指针使得跨类查询变得非常容易，从而可以扩展查询的范围。文中实现了一个基于对象代理模型的多表现GIS原型，性能测试表明该方法比传统的方法更加有效。     

制造网格中制造资源描述机制研究

为实现资源共享和协同工作，制造业对公共技术及服务平台的需求越来越强烈。将网格技术运用到制造业领域，提出了制造网格的概念。基于本体的知识集成方法，改变原有数据库集成中使用中间代理、软件接口等技术所造成的语义信息不清、信息丢失等缺陷，为企业实现制造资源共享和集成提供了解决方法和理论依据。     

基于国标人体测量学数据的虚拟人缩放方法

具有准确人体测量学数据的虚拟人模型在虚拟制造和虚拟维修领域有重要的理论和现实意义。此外，根据某些人体测量学数据，参照典型的人体模型生成特定的虚拟人，即实现人体模型的参数化控制，对于合理地进行人机功效分析也有重要的应用价值。该文在分析我国成年人体测量学数据标准的基础上，通过研究Jack软件中人体模型表示方法和人体测量学数据之间的映射关系，提出了一种基于人体测量学数据的人体模型动态缩放方法。利用该方法在Jack软件中建立了基于国标人体测量学数据的人体模型动态缩放子系统。     

综合网管中的抽象代理技术

提出异网管理的抽象代理及其相关的虚拟网络，抽象管理信息模型等概念，并对抽象代理体系结构，抽象管理信息模型的实现方案作了研究。     

面向新工科的"虚拟现实+先进制造"协同创新实践教学体系探索

为实现虚拟制造业创新发展,以数字化转型为核心、虚拟可视化技术为手段、数据流程优化重构为保障,开展面向新工科的"虚拟现实+先进制造"协同创新实践教学体系探索,以虚拟制造领域实际工程需求为导向,着眼于虚拟制造业关键共性技术攻关,通过开发虚拟柔性制造、3D虚拟打印、虚拟装配、全生命周期管理和虚拟维修维修等系统,加速制造业新产品、新技术的产业化进程,培养虚拟制造业相关领域的专业人才,构建包含高校、科研、企业及产业的虚拟制造领域完整产教融合生态圈.     

Dynamic organization and methodology for agile virtual enterprises

With the trend of the worldwide market competition ,the global agile manufacturing will become an advanced manufacturing technology in 21st century,and the Agile Virtual Enterprise(AVE) will also become a new organization form of manufacturing enterprises.As AVE is a complicated enterprise,how to build an optimal AVE organuization is a difficult problem.In this paper,based on the analysis of the AVE organization,the methodology for AVE including enterprise architecture,reference model,enterprise modeling methods and toolkit,guideline for system implementation is proposed.This paper also presents a Virtual Organization Integrated Support Environment(VOISE),which provides the computer-aided support for rapidly duilding an optimal AVE.     

A conceptual framework for agent-based agile manufacturing cells

Abstract. Agile manufacturing techniques are perceived as the manufacturing systems of the future. Agile manufacturing cells are dynamic and reconfigurable and the modelling of the manufacturing cells and its interaction mechanism is critical to its successful use. This paper deals with the architecture and cooperation mechanism of web‐based agile manufacturing cells. Based on an analysis of structure and organization requirements of agile manufacturing cells and a comparison of three basic architectures of manufacturing systems, the quasi‐heterarchical architecture is used for the agile manufacturing cell. Functional layers are defined in this architecture to make the cell's control system reconfigurable and reusable. Agent technology is adopted for implementation of each layer's functions to establish an agent‐based model of agile manufacturing cells. Four types of agents including cooperation agent, job management agent, resource broker agent, and resource control agent are defined, and their functions discussed. Finally, a real time interaction mechanism of the agents is presented by considering the activities during the agents’ cooperation in an agile manufacturing cell.     

敏捷制造下车间重构中的制造资源选择

敏捷制造被认为是21世纪的制造模式．实现敏 捷制造的组织形式是敏捷虚拟企业（AVE）,它根据产品开发的需要动态重构．动态重构敏 捷虚拟企业中的制造资源选择问题是对实现敏捷制造的挑战．本文给出了一个资源选择问题 的整数规划模型,其目标是使费用最小．利用任务之间的先后顺序的特点,我们将整数规划 模型转换为图论模型．基于图论模型,我们给出了一个求最优解的有效算法．其计算复杂性 是多项式有界的．     

An approach to partner selection in agile manufacturing

It is believed that agile manufacturing is the twenty-first century manufacturing enterprise strategy and should be realized by agile virtual enterprise (AVE) which is dynamically configured for the manufacturing of one or more products. Agile manufacturing creates a significant challenge for the partner selection in configuring an AVE. This paper presents a brief introduction to the task decomposition for the manufacturing of a product in multisite environment. A bidding process should be carried out for each task so as to get the information necessary for the configuration of AVE. To minimize the manufacturing cost, an integer programming (IP) formulation is presented for the partner selection problem. The IP formulation is then transformed into a graph-theoretical formulation by taking the advantage of the precedence relationship between the tasks. The graph obtained turns out to be a directed multipartite graph. Based on the graph-theoretical formulation, an efficient solution algorithm is proposed for the problem. It is shown that the algorithm is polynomial bounded. Therefore, it is applicable to large practical problems.     

Towards a generic distributed and collaborative digital manufacturing

A framework for distributed manufacturing is proposed to facilitate collaborative product development and production among geographically distributed functional agents using digitalized information. Considering the complexity of products created in a distributed manufacturing scenario, it often requires close collaborations among a number of facilities. In this research work, various functional agents, such as the manufacturability evaluation agent (MEA), manufacturing resource agent (MRA), process-planning agent (PPA), manufacturing scheduling agent (MSA), shop floor agent (SFA), fault diagnosis agent (FDA), etc., can interact coherently for distributed manufacturing. With specific agents having unique functionalities, a manufacturing managing agent (MMA) acts as the centre of this distributed manufacturing system. The MMA agent assists the specific agents’ to work seamlessly and also to collaborate closely with the participating agents. In this way, the production cycle of a part can be optimized from product design to final manufacturing since all the production procedures are considered logically and every procedure is correlated. The agent language based on the knowledge query manipulation language (KQML) includes many pre-defined performatives that ease the participating agents to carry out their tasks intelligently by interpreting commands from one another. Additionally, to ensure the adaptiveness and upgradeability of the system, the internal structure of each functional agent that is based on JATLite is modularized into several components, including a communication interface, central work engine, knowledge base pool, and input/output modifier for possible future methodology enhancements.     

支持动态联盟的车间控制信息系统框架模型

随着世界市场的不断变化与市场竞争的加剧, 动态联盟将成为新的企业组织形态,动态联盟环境下企业间信息流的管理和控制问题越来越 受到人们的重视．车间控制器的设计和开发也必须适应动态联盟的需要．本文对敏捷制造信 息系统（AMIS）和车间的信息流程进行了分析和探讨,结合现有的网络技术、代理技术以及 分布工作流技术,提出了支持动态联盟的车间控制信息系统框架模型．     

Reactive multi-agent system for assembly cell control

This paper presents a multi-agent system for the control of manufacturing systems. The multi-agent system is designed to provide manufacturing control with three important characteristics: high robustness, quick response and good expandability. A prototype multi-agent-based control system has been developed for a flexible assembly cell as an example. The prototype multi-agent system contains several reactive agents. Each agent acts according to its built-in behaviours, and the behaviours are able to respond to stimuli from the manufacturing environment. A system architecture to implement the multi-agent-based control system is proposed and the coordination model of the reactive agents is developed. The generic agent structure is established for individual reactive agents, and the behaviours and the subsumption architecture of each agent are designed.     

Preliminary design and manufacturing planning integration using web-based intelligent agents

Software agents have been increasingly used in the product and process development in industry over the past years due to the rapid evolvement of the Internet technology. This paper describes agents for the integration of conceptual design and process planning. Agents provide mechanisms to interact with each other. This mechanism is important since both of those processes involve negotiations for optimization. A set of design and planning software agents has been developed. These agents are used in a computer-based collaborative environment, called a multi-agent platform. The main purpose of developing such a platform is to support product preliminary design, optimize product form and structure, and reduce the manufacturing cost in the early design stage. The agents on the platform have access to a knowledge base that contains design and planning rules. These rules are derived from an analysis of design factors that influence process and resource planning, such as product material, form, shape complexity, features, dimension, tolerance, surface condition, production volume, and production rate. These rules are used by process planning agents to provide process planners with information regarding selecting preliminary manufacturing processes, determining manufacturing resources, and constructing feedback information to product designers. Additionally, the agents communicate with WEB servers, and they are accessible by users through Internet browsers. During performing design and planning tasks, agents access the data pertinent to design and manufacturing processes by the programming interfaces of existing computer-aided design (CAD) and manufacturing system. The agents are supported by a developed prototype agent platform. The agents and the platform enable the information exchange among agents, based on a previously developed integrated design and manufacturing process object model.     

An agent-oriented approach to resolve scheduling optimization in intelligent manufacturing

Agent technology is considered as a promising approach for developing optimizing process plans in intelligent manufacturing. As a bridge between computer aided design (CAD) and computer aided manufacturing (CAM), the computer aided scheduling optimization (CASO) plays an important role in the computer integrated manufacturing (CIM) environment. In order to develop a multi-agent-based scheduling system for intelligent manufacturing, it is necessary to build various functional agents for all the resources and an agent manager to improve the scheduling agility. Identifying the shortcomings of traditional scheduling algorithm in intelligent manufacturing, the architecture of intelligent manufacturing system based on multi-agent is put forward, among which agent represents the basic processing entity. Multi-agent-based scheduling is a new intelligent scheduling method based on the theories of multi-agent system (MAS) and distributed artificial intelligence (DAI). It views intelligent manufacturing as composed of a set of intelligent agents, who are responsible for one or more activities and interacting with other related agents in planning and executing their responsibilities. In this paper, the proposed architecture consists of various autonomous agents that are capable of communicating with each other and making decisions based on their knowledge. The architecture of intelligent manufacturing, the scheduling optimization algorithm, the negotiation processes and protocols among the agents are described in detail. A prototype system is built and validated in an illustrative example, which demonstrates the feasibility of the proposed approach. The experiments prove that the implementation of multi-agent technology in intelligent manufacturing system makes the operations much more flexible, economical and energy efficient.     

Multi-agent Mediator architecture for distributed manufacturing

A generic Mediator architecture for distributed task planning and coordination has been developed using multi-agent paradigms. In this approach, agents function autonomously as independent computing processes, and dynamic virtual clusters coordinate the agent's activities and decision making. This coordination involves dynamically created coordination agents and resource agents concurrently. The Mediator architecture contains three levels of these coordination agents: the template mediator, the data-agent manager, and the active mediator. The template mediator is the top-level global coordinator. This agent contains both the templates and the cloning mechanism to create the successively lower-level agents. Task plans are decomposed successively into subtasks, which are allocated to dynamically created agent clusters coordinated through data-agent managers and active mediators. Coordination of agent activity takes place both among the clusters and within each cluster. The system dynamically adapts to evolving manufacturing tasks, with virtual agent clusters being created as needed, and destroyed when their tasks are completed. The mediator architecture and related mechanisms are demonstrated using an intelligent manufacturing scheduling application. Both the machines and the parts involved in this production system are considered as intelligent agents. These agents use a common language protocol based on the Knowledge Query Manipulation Language (KQML). The generic Mediator approach can be used for other distributed organizational systems beyond the intelligent manufacturing application it was originally developed for.