基于Agent的制造系统模型研究

为了实现制造系统资源的动态配置,对Agent的内部结构进行了研究,并提出制造系统递阶Agent网模型,构建制造系统逐层递阶的网络框架,阐明了递阶Agent网的工作流程,并介绍了递阶Agent网的通讯语言。递阶Agent网模型的建立能够使制造系统快速适应外部环境的变化,提高企业的市场竞争力。     

面向离散制造业的过程监控管理系统设计与实现

为解决目前离散制造业过程追踪与作业管理对数据采集与信息处理的更高需求,提出基于多移动Agent的过程监控管理系统的应用服务代理体系结构,给出应用服务代理结构中多移动Agent的实现机制与复杂逻辑控制方法,建立了进度分析模型,采用RFID技术实现数据实时采集,通过嵌入式技术与图形引擎技术实现采集终端可视化管理,最后给出了过程监控管理原型系统及智能终端的实现,证明了该系统在实际应用中的可行性与有效性.     

基于Mobile Agent的信息检索系统的结构及相关技术

介绍了Mobile Agent系统的概念，提出了一个应用Grasshopper开发平台的基于Agent技术的网络信息检索系统的设计方案，讨论了该系统的结构模型、具体实现方法及相关技术。     

一种基于Jini的多Agent系统框架实现

1 引言Agent(智能主体)是分布式人工智能的一个重要的研究方向,但是随着网络和计算机通信技术的发展,很多领域都开始将Agent系统引入到本行业之中,以期为智能地解决本领域内问题提供一个新的途径,所以尝试用不同的方法建立A-gent系统,将为Agent系统在不同领域内的应用提供便利.本文将介绍如何利用分布式系统Jini建立起Agent系统.这将为在具有Java平台的系统上实现Agent提供良好的解决办法.     

基于Agent的数据库中间件

文章提出了一种基于Agent的数据库中间件设计方案,分析了软件Agent的建模、Agent团队的概念和Agent间的通信和协调,并实现了一个完整的数据库中间件系统,它在大型网络信息系统中的应用已取得稳定和高效的性能。     

基于PKI的多Agent安全服务系统研究

论文分析了当前应用系统安全技术的局限性,在此基础上,提出了一个基于PKI的多Agent安全服务系统的体系结构。该系统利用多Agent在协作和信息交互方面的优势及移动Agent的移动性,在PKI安全平台的基础上对网络中的应用系统提供主动式的用户认证、加/解密、数字签名/签名验证等安全服务。论文还简要介绍了实现原型系统的关键技术和方法,实验结果表明,该安全服务平台可为应用系统提供主动透明、稳定高效的安全服务。     

网络蠕虫防御系统中的疫苗分发路径优化

网络蠕虫的传播对互联网安全构成了严重的威胁,接种疫苗是蠕虫防治的一种有效手段。该文提出了一个基于Agent的网络蠕虫防御系统,通过Agent互相协作共同抵御网络蠕虫。Agent在网络中迁移,把疫苗安装到网络中的各个主机节点。通过对Agent的迁移机制和疫苗存储库结点的部署算法的研究,并应用到系统中,实现了疫苗分发路径的优化,缩短了疫苗的分发时间。     

基于软件Agent的虚拟工艺设计系统的研究

敏捷制造对传统的工艺设计提出了异地协同设计的要求。为此,文章提出了工艺设计的三层体系结构,在此基础上,通过软件Agent技术的引入,设计了一个能有效实现异地协同设计的虚拟工艺设计系统,并构造了可嵌套的Agent联邦结构,来增强系统的柔性和可扩展性。关键技术在自主开发的商品化软件GS-CAPP系统中得以实现,并在实际应用中取得了良好的效果。     

MAS及其相关概念

1 引言现实世界存在大量分布系统,MAS(多Agent系统)结构为其提供了一条研究途径,网络及多处理机的硬件研究成果为其实现提供了必要的支持。 MAS系统由多个智能体(Agent)组成,每一个Agent又是一个自治计算实体,具有目标、知识和能力。我们为什么要研究MAS?首先MAS优于仅由单     

基于Aglet的网络学习系统

分析了移动Agent在网络学习中应用的原因和优势,阐述了基于IBM Aglet平台实现的一个网络学习系统的模型和关键技术,最后讨论了移动Agent技术在网络学习应用中所要解决的一些问题。     

SDMSim: A manufacturing service supply–demand matching simulator under cloud environment

Nowadays, with the introduction and application of new information technologies in manufacturing, various advanced manufacturing modes and national strategies have been put forward and paid more and more attention, such as Industry 4.0, Industrial Internet, Cyber-Physical System or Cyber Manufacturing, Made in China 2025, Internet Plus Manufacturing, Cloud Manufacturing, etc. For these modes and strategies, how to realize the effective and intelligent supply–demand matching (SDM) of various manufacturing resources and capabilities (MR&C) in the form of service is one of the common issues and aims. In order to provide a uniformed research platform for related researchers both in academic and industry, the concept of manufacturing service SDM simulator (SDMSim) is proposed in this paper. A hypernetwork based architecture for the simulator is designed, as well as its seven key functions and subsystems, including manufacturing service management, manufacturing task management, manufacturing service SDM hypernetwork, manufacturing service SDM problem formulation and configuration, matching and scheduling algorithms/strategies selection and design, statistical analysis, and visualization. It illustrates that SDMSim has the potential to serve the users of manufacturing service provider, manufacturing service consumer, manufacturing service operator in the field of SoM, as well as the related researchers.     

Cordova-NodeJS混合式物联网信息服务系统

针对传统物联网信息服务系统不能实现物联网终端汇聚节点和物联网应用服务器兼容，无法利用现有的互联网生态圈这两大问题，提出了一种新型Cordova-NodeJS混合式物联网信息服务系统。该系统由基于改进内核的Cordova框架构成的物联网终端汇聚节点和基于Node.js并配合最优点产生算法构成的物联网应用服务器所组成。结合所提出的混合式信息服务架构，该系统运行良好。实验仿真结果也表明，使用该系统架构的物联网信息服务系统相关数据指标较传统信息服务系统表现优异，接近于互联网信息服务系统数据指标，证明该系统具有研究价值。     

Multi-attribute negotiation mechanism for manufacturing service allocation in smart manufacturing

Smart manufacturing is undergoing rapid development along with many disruptive technologies, such as Internet of Things, cyber-physical system and cloud computing. A myriad of heterogeneous manufacturing services can be dynamically perceived, connected and interoperated to satisfy various customized demands. In smart manufacturing, the market equilibrium is variable over time due to changes in demand and supply. Thus, efficient manufacturing service allocation (MSA) is critical to implementation of smart manufacturing. This paper considers the MSA problem under market dynamics with maximization of utility of customers and service providers. Many conventional methods generally allocate manufacturing services to the customers by multi-objective optimization without considering the impact of interactions between customers and service providers. This paper presents a multi-attribute negotiation mechanism to address the MSA problem under time constraints relying on autonomous agents. The proposed negotiation mechanism is composed of two models: an atomic manufacturing service negotiation model and a composite manufacturing service coordination. The former model is based on automated negotiation to seek an atomic manufacturing service over multiple attributes for an individual subtask. The latter model incorporates the global distribution and surplus redistribution to coordinate and control multiple atomic manufacturing service negotiations for the whole manufacturing task. Numerical studies are employed to verify the effectiveness of the multi-attribute negotiation mechanism in solving the MSA problem. The results show that the proposed negotiation mechanism can address the MSA problem and surplus redistribution can effectively improve the success rate of negotiations.     

面向社交物联网的移动端应用系统研究与实现

社交物联网是社交网络与物联网有机融合的新型网络,相应的社交物联网应用系统越来越得到人们的关注。社交物联网应用系统主流的架构是基于代理的模式连接物联网与社交网络,而有关社交网络直接应用物联网设备资源及其服务的模式仍有欠缺。物联网设备和服务资源如何作为社交网络的重要属性被社交网络发现、搜索和应用;用户、设备和服务资源如何通过社交网络进行共享等问题还有待解决。该研究面向社交物联网的基本应用,设计了一种将社交网络与物联网统一起来的应用系统。该系统以移动端应用程序开发平台作为开发工具,在应用程序开发框架内进行相关设计和开发,以社交网络应用、物联网设备管理、物联网设备的服务搜索等功能为主,解决了社交物联网中用户、设备和服务资源的统一共享问题。     

Industrial Internet Platform (IIP) enabled Smart Product Lifecycle-Service System (SPLSS) for manufacturing model transformation: From an industrial practice survey

Nowadays, the focus of enterprises is gradually expanding from product manufacturing system to Product service system (PSS). In the existing research, scholars mainly focus on the in-depth study of a certain method or technology, and the research on traditional PSS is relatively mature. In addition, it is a tendency that transform towards SPLSS with the characteristics of industrial internet platform (IIP) and sustainable operation theory. Based on this, this paper explores the research path from traditional product service system (PSS) to smart product service system (SPSS), and then to smart product lifecycle service system (SPLSS), which can endow the products with intelligent perception, intelligent analysis and intelligent decision-making capabilities based on Industrial Internet Platform (IIP). A reference model of IIP enabled SPLSS for industrial services based on system engineering method and theory from a very detailed practical investigation is proposed. Moreover, on the basis of this model, its three dimensional subsystems are expanded, including: supporting environment subsystem, evolution path subsystem, and added value subsystem. The study can provide a reference for the enterprise's manufacturing strategy and manufacturing path. It will promote the transformation and upgrading of enterprise manufacturing model to improve service efficiency and reduce operating costs, and then realize the value-added of products and services.     

StarBus+: Distributed Object Middleware Practice for Internet Computing

In the past decade, the booming of Internet challenges the middleware in three aspects: quality of service, balance of changes and stabilization, and across-Internet integration. This paper presents our work on distributed object computing middleware technology for these challenges, as well as the research and development on StarBus , which is a CORBA standard-compliant middleware suite with the features such as object request broker supporting multi-* quality of service, component model, and integration with Web Service. This paper comprehensively presents the design and characteristics of StarBus , and demonstrates how StarBus is enhanced to address the challenges of Internet computing through three case studies: inter-enterprise integration over Internet, application evolution through dynamic reconfiguration, and great massive information system building. The paper also suggests some research directions which are important for Internet computing.     

制造业中基于UDDI的协同支持平台构建

应用软件是现代制造业的灵魂,为克服异构应用集成难题,提出了一种基于UDDI的统一协同支持软件开发平台。指出了在统一平台上开发应用软件的快速性,探讨了基于统一平台的协同资源发现及其描述机制,讨论了资源集成的软件系统开发支持服务机制,研究了Web服务与SOA支持等关键技术。最后用典型应用实例,验证了在制造业中采用统一协同支持平台开发应用软件系统的快速性、实用性和有效性。     

Logistics-involved QoS-aware service composition in cloud manufacturing with deep reinforcement learning

Cloud manufacturing is a new manufacturing model that aims to provide on-demand manufacturing services to consumers over the Internet. Service composition is an essential issue as well as an important technique in cloud manufacturing (CMfg) that supports construction of larger-granularity, value-added services by combining a number of smaller-granularity services to satisfy consumers’ complex requirements. Meta-heuristics algorithms such as genetic algorithm, particle swarm optimization, and ant colony algorithm are frequently employed for addressing service composition issues in cloud manufacturing. These algorithms, however, require complex design flows and painstaking parameter tuning, and lack adaptability to dynamic environment. Deep reinforcement learning (DRL) provides an alternative approach for solving cloud manufacturing service composition (CMfg-SC) issues. DRL as model-free artificial intelligent methods enables a system to learn optimal service composition solutions through training, which can therefore circumvent the aforementioned problems with meta-heuristics algorithms. This paper is dedicated to exploring possible applications of DRL in CMfg-SC. A logistics-involved QoS-aware DRL-based CMfg-SC is proposed. A dueling Deep Q-Network (DQN) with prioritized replay named PD-DQN is designed as the DRL algorithm. Effectiveness, robustness, adaptability, and scalability of PD-DQN are investigated, and compared with that of the basic DQN and Q-learning. Experimental results indicate that PD-DQN is able to effectively address the CMfg-SC problem.     

A review of essential standards and patent landscapes for the Internet of Things: A key enabler for Industry 4.0

This paper is a formal overview of standards and patents for Internet of Things (IoT) as a key enabler for the next generation advanced manufacturing, referred as Industry 4.0 (I 4.0). IoT at the fundamental level is a means of connecting physical objects to the Internet as a ubiquitous network that enables objects to collect and exchange information. The manufacturing industry is seeking versatile manufacturing service provisions to overcome shortened product life cycles, increased labor costs, and fluctuating customer needs for competitive marketplaces. This paper depicts a systematic approach to review IoT technology standards and patents. The thorough analysis and overview include the essential standard landscape and the patent landscape based on the governing standards organizations for America, Europe and China where most global manufacturing bases are located. The literature of emerging IoT standards from the International Organization for Standardization (ISO), the International Electrotechnical Commission (IEC) and the Guobiao standards (GB), and global patents issued in US, Europe, China and World Intellectual Property Organization (WIPO) are systematically presented in this study.     

政府补贴和成本共担如何影响平台和企业策略选择-----基于三方演化博弈

基于地方政府对工业互联网平台和加入平台的制造业企业的补贴,以及工业互联网平台与制造业企业间的成本共担,构建"政府-平台-企业"3个主体之间的非对称演化博弈模型,运用微分方程的稳定性定理分析各博弈主体的策略演化路径以及影响其策略演化的因素,并通过雅克比矩阵探讨系统的演化稳定策略.通过数值仿真分析政府补贴力度和平台成本分担比例对系统演化稳定策略的影响,界定可以促使制造业企业加入平台、工业互联网平台进行优化服务的政府补贴力度和成本分担比例的有效区间,为地方政府、工业互联网平台和制造业企业的行为决策提供理论参考.