Development and Applications of Holonic Manufacturing Systems: A Survey

This paper surveys the literature in the holonic manufacturing systems area in an attempt to bring together the key issues in the development and applications of holonic systems. A brief introduction presents the characteristics of today’s manufacturing environment and the requirements for next generation manufacturing systems. Then, starting with considerations about the origins of the holonic concept and its first applications in manufacturing, the paper presents the advances made in applying the holonic concept to manufacturing systems area. Several considerations for the development of holonic manufacturing systems and specific holonic system requirements are discussed. As holonic concept is considered a solution for next generation manufacturing systems, there is a significant number of applications and implementations of the holonic concept in manufacturing systems domain. The most important and relevant approaches developed so far are presented. Finally, a short conclusion and future research directions in the area are provided     

基于知识的加工过程合弄智能控制

加工过程是一个复杂多变的动态的系统，对其进行有效控制是制造系统自动化要解决 的基本问题之一．本文概述了合弄控制的产生及其特点和加工过程智能控制的发展，分析了 基于知识的加工过程智能控制系统的特性及其发展趋向，指出智能控制技术的深入研究和合 弄控制理论的发展将为加工过程智能控制向更高智能度的进化奠定坚实的基础．     

面向本体的企业信息系统设计与研究

利用本体论的方法来实现企业信息系统,提出了企业信息系统的框架体系,及关键技术。定义了企业本体及其概念的框架表示,描述了企业信息系统中的数据库与企业本体集成时建立领域本体的步骤,阐述了本体管理系统中应用本体的功能。     

Distributed and centralised material handling scheduling: Comparison and results of a simulation study

Part of a larger research that employs decentralized holonic modelling techniques in manufacturing planning and control, this work proposes a holonic-based material handling system and contrasts the centralized and distributed scheduling approaches for the allocation of material handling operations to the available system resources. To justify the use of the decentralized holonic approach and assess its performance compared to conventional scheduling systems, a series of evaluation tests and a simulation study are carried out. As illustrated by the results obtained from the simulation study, the decentralized holonic approach is capable of delivering competitive feasible solutions in, practically, real-time.     

基于Ontology的产业集群信息检索模型探析

该文从安徽汽车产业集群信息服务平台检索需求出发,通过对平台现有检索技术进行分析,指出建立基于本体技术的智能检索系统的必要性,在此基础上构建了基于本体的产业集群信息检索模型,阐述了领域本体构建的重要性,最后指出产业集群信息检索的实现可以大大提高平台信息检索性能。     

HYPERTEXT-BASED REPRESENTATION OF KNOWLEDGE AND REASONING FOR USER GUIDANCE IN DIAGNOSIS OF COMPLEX SYSTEMS

ABSTRACT

The development of a hypertext-based diagnosis system requires, on one hand, adapted tools for a task oriented navigation across the documents, and on the other hand, context sensitive browsing capability of the knowledge base. This paper presents a system that possesses both properties. It is based on a formal model ontology for representing a diagnostic domain, a computational scheme to implement and use the ontology, and a human-machine interface to provide users with an efficient access to objects, methods, and relations described in the ontology. We use an example based on the diagnosis of vibrations of rotating machines throughout the paper to illustrate the approach. The example has been built and implemented according to the norm (AFNOR 1998), which defines the protocol and the evaluation procedure of vibration from signals measured and recorded on the rotating machines.     

基于本体的服务管理代理的研究与实现

在服务管理代理应用模型中应用本体理论和相关技术,设计内部UDDI保存软件系统所适用的Web服务信息,通过匹配引擎的匹配算法实现Web服务本体和服务请求本体的匹配,应用反射技术实现动态调用被选的Web服务并将结果返回给服务请求者,从而提高了基于面向服务结构的软件系统的灵活性、稳定性和可靠性,进而满足服务请求的要求。     

浅层语义分析及SPARQL在问答系统中的应用

为了解决受限域问答系统中答案抽取的问题,提出了一种基于浅层语义分析的问答系统模型。该模型以自然语言为接口,利用医院信息本体,采用浅层语义分析技术,由语义块定义规则和语义块判定规则,首先生成问句向量,然后利用SPARQL查询技术,在本体中进行查询,从而得到答案。实验表明该方法可行,对自动问答系统的设计具有借鉴意义和深入研究的价值。     

基于本体和语义规则的信息系统安全域划分

伴随着信息化全面建设,越来越多的信息化系统运用于各行各业,为广大的人民群众和国家带来信息化时代的便捷性与优越性,但是同时随之产生一系列复杂的安全问题也亟待解决。因此针对于信息系统领域的安全域划分方法及评估指标体系研究显得尤为重要。为此,提出了基于语义万维网技术和本体论技术的安全域划分方法,并在此基础上设计了针对于信息系统安全领域的本体,并且运用于实际案例中,完成技术方案的实际运用效果测试,实现为安全测评人员提供更方便的信息系统评级划域方法。     

Virtual factory approach for implementation of holonic control in industrial applications: A case study in die-casting industry

Design and implementation of holonic manufacturing control systems for the real industrial applications require risky, careful decisions to ensure that the manufacturing system will successfully satisfy the demands of an ever-changing market. This paper suggests a virtual reality (VR)-based methodology for enhancing the design and implementation process of holonic control systems in manufacturing practice. The major focus has been given to the implementation of holonic control into the small to medium size manufacturing enterprises (SMEs).     

Image retrieval with a multi-modality ontology

Ontologies represent domain concepts and relations in a form of semantic network. Many research works use ontologies in the information matchmaking and retrieval. This trend is further accelerated by the convergence of various information sources supported by ontologies. In this paper, we propose a novel multi-modality ontology model that integrates both the low-level image features and the high-level text information to represent image contents for image retrieval. By embedding this ontology into an image retrieval system, we are able to realize intelligent image retrieval with high precision. Moreover, benefiting from the soft-coded ontology model, this system has good flexibility and can be easily extended to the larger domains. Currently, our experiment is conducted on the animal domain canine. An ontology has been built based on the low-level features and the domain knowledge of canine. A prototype retrieval system is set up to assess the performance. We compare our experiment results with traditional text-based image search engine and prove the advantages of our approach.     

Distributed manufacturing control with extended CNP interaction of intelligent products

This paper describes two heterarchical architectures which use distributed intelligence for the control (operation scheduling, resource allocation and product routing) of a manufacturing cell. In these architectures intelligence is put respectively at the product and through the network of workstation computers. The cost of embedded specialized hardware required for the first option is still very high. The second option needs the utilization of Automatic Identification and Data Capture technology close to the product to permit its identification and tracking by the computer system. These technologies enable the automated identification of objects, the collection of data about them, and the storage of that data directly into computer systems. Through this network, the computer system can access or update information in databases about the products and connect with software agents that represent production orders and resources and take in common decisions through negotiation and contract-based rules. The theory of the proposed solutions is based on the holonic manufacturing and product-driven automation concepts. The implementation methodology along with experimental results is presented, emphasizing the advantages of each solution.     

Some questions of logistics in the case of holonic production systems

The paper summarizes the logistic fundamentals of holonic production systems (HPSs). It drafts the features of HPSs essential from the logistic point of view and the requirements that have to be fulfilled for a given holonic system, and outlines the control of logistic system for an HPS. The paper also describes the logistic tasks of a common service centre, its operating domain and the advantages achievable in the course of its application. The second part of the paper deals with some optimization problems of purchasing logistics. Finally, the paper points out the savings obtainable by means of optimization of purchasing logistics.     

一种基于本体论的Internet信息个性化检索系统的Agent实现模型

本文通过结合本体论和Agent技术提出了一种基于本体论的Internet信息个性化检索的Agent系统的实现模式。该系统的实现可以在一定程度上缓解Internet网上信息过载的问题，结合领域知识，提供用户个性化信息检索服务，可提高Internet信息检索的准确率.     

语义Web上本体与智能信息Agent的集成研究

该文介绍了语义Web新技术,它可以为处理Web信息的智能应用程序提供帮助。文中描述了语义Web的层次结构及其支持语义Web的基础技术如RDF(资源描述框架)和本体(Ontology)等,文章表明,Agent技术与本体的集成会扩展程序能力,更有效地为用户执行任务而较少需要人的干预,也会对Web服务的使用产生重大影响。文中介绍了本体与智能信息Agent结合的应用实例,为用户搜索Web上的服务提供帮助。     

Web智能信息检索体系结构的研究

利用XML建立了基于领域模型的Web信息集成系统 ,对Web信息进行了分割、组织和管理 ,并参考公共对象请求代理结构CORBA ,集成XML和移动Agent技术的优势 ,构造了一个Web智能信息检索体系结构。它不仅适合Web发展的需要 ,同时为用户获取网络信息提供了一种有效的方法。     

基于本体的专利信息检索系统设计与实现

检索系统可以通过引入本体来弥补传统关键词检索语义匮乏的缺陷,然而,领域专家构建本体存在过程复杂、工期长、更新困难等弊端.为此,综合分析多种本体构建方法和技术,针对专利数据的特点给出一套半自动构建本体的方案,在此基础上提出基于半自动构建本体的专利信息检索系统的体系框架,描述系统原型的设计思想和检索流程,通过实验验证该系统能很好的扩充延伸检索词,明显地提高了检索效率以及查全率.     

基于本体论的文本挖掘技术综述

文本挖掘技术是从海量文本信息中获取潜在有用知识的有效途径。传统的文本挖掘方法由于不能有效运用语义信息而难以达到更高的准确度。本体论为语义信息的合理表示和有效组织提供了理论支持和技术手段。介绍和分析了常识本体和领域本体以及基于这些本体的文本挖掘方法。     

基于表示学习的工业领域人机物本体融合

随着新一代人工智能技术的发展,制造系统由以往的人物二元系统发展为人机物三元系统,跨域跨层的多元数据融合成为必然趋势。本体作为一种能在语义上描述数据的概念模型,被广泛应用于多元异构数据的集成、共享与重用中。在传统工业领域中,利用本体融合驱动数据融合的研究通常集中于信息和物理系统。针对人机物本体融合问题,文中提出了一种改进的表示学习模型TransHP。由于经典的表示学习的翻译模型未有效利用除三元组结构以外的其他信息,TransHP在TransH上加以改进,将本体中的元素构成类别三元组与实例三元组。首先针对类别概念构成的三元组,利用三元组的结构和属性进行联合训练;然后将得到的类别实体的向量表示作为训练实例向量的输入,与实例的结构信息进行联合训练,同时以置信度作为关系强度加入计算,以解决关系三元组稀疏性造成的实体在语义空间无序分布的问题。文中构建以工业领域热轧生产流程为例的人机物本体,并将其作为小样本进行测试,实验结果表明,与TransH模型相比,在人机物本体中,TransHP模型推理出实体间的关系更丰富,准确率更高。TransHP模型实现了人机物本体的融合,解决了人机物信息交互的问题,为协同...