基于UG平台的智能数控编程系统研究

针对先进数字化制造技术在实际应用中的问题，提出了将知识工程技术引入数控编程，并研究了知识获取、知识表示和知识推理在数控编程中的应用；在对智能数控编程系统的体系结构研究的基础上，以UG为平台利用SQL Server2000数据库和UG／open、VC＋＋6．0开发工具，开发了智能数控编程系统；通过编程实例的应用验证了课题研究的可行性与实用性．     

复杂零件数控编程KBE系统广义知识库应用研究

在分析数控编程KBE系统各模块相互联系的基础上,构建了基于KBE的复杂零件数控编程系统功能架构和广义知识库结构模型．综合数据库技术和知识库理论,建立了数控编程广义知识库系统．阐述了广义知识库的设计思想,给出了数控编程广义知识库与UG CAD／CAM应用接口实现的技术路线．并以企业需求为背景,在知识驱动型制造平台（UG CAD／CAM）上,利用VC＋＋6．0和UG／Open,将广义知识库系统和UGCAD／CAM无缝集成,实现了KBE和UG CAD／CAM系统的融合,开发了复杂零件数控编程KBE系统,验证了课题研究的可行性和实用性．     

基于事例推理的胶印质量管理专家系统

基于事例推理具有获取知识方便、易于理解、启发思维等特点,介绍了CBR的概念和关键技术,并将其应用于胶印质量控制领域.分析研究了基于事例的推理在胶印质量控制系统中应用的可行性,结果表明优于传统的基于规则的推理.     

基于案例的产品设计系统中程序型知识检索研究及实现

基于Internet的计算机辅助工业设计系统,基于案例的计算机辅助工业设计系统研究基础上,结合Case-based Reasoning CBR技术,采用语义隶属度分析的方法,提出了基于设计问题的程序型知识获取模型以及基于相似度计算的程序型知识检索算法,为计算机辅助工业设计提供了一个新的思维方式,并在CBID系统构建中得到实践与验证.     

基于知识模板的船用柴油机复杂零件数控技术研究

针对船用柴油机形状复杂的大型零件,利用知识工程和特征相似性的原理,以Visual Studio和UG/OPEN API为开发工具,开发了船用柴油机复杂零件数控编程系统.以CAD、CAPP提供的信息为基础,研究了基于特征的刀具轨迹规划,并通过定制专用的后处理器生成数控代码.该系统能实现对船用柴油机零件的快速编程,实现系统的集成化、通用化和自动化.     

基于全生命周期的机床产品协同设计知识专家系统

在面向机床产品协同设计过程中,多领域专家常常会遇到许多涉及产品全生命周期中精确或模糊的知识,如何正确地应用这些知识是机床产品协同设计中必须解决的首要问题.本文采用协同设计知识专家系统将基于知识的规则库和CBR方法有机地结合在一起,可以较好地获取与处理机床产品协同设计过程中的相关知识.     

基于知识地图的标准知识链接服务研究

为解决当前标准知识及相关信息资源在资源整合、关联表达和快速获取中的问题,提供直观、全面和智能化的标准知识链接服务。本文在对标准知识及其要素的理论分析基础上,以知识地图为工具,以知识链接为方法,从整体上设计了标准知识系统的功能模块和系统架构。基于Django WEB开发框架,建立了标准知识数据库,实现了标准知识地图系统。以纺织产业为应用实例,利用所开发的知识地图系统对相关国内外标准法规进行文本挖掘。实验证明本文所构建的理论和标准知识系统能够提供领域内标准知识之间的关联导航,实现基于产品流程的标准知识聚合,为纺织企业提供基于语义的智能化标准知识链接服务。     

面向石油化工领域的语料库建设研究

基于专家内省方法获取领域知识已无法满足要求,试图发挥内省和统计两种方法的优势,提出包含生语料级、词汇级、句子级和篇章级4个层级的领域语料库设计框架,使每一个层级的语料可以独立地进行NLP分析和服务高一个层级语料.在此设计框架下,建立了大规模的石油化工领域语料库,为石油化工行业的知识获取和分析提供基础资源和素材,支撑石化领域知识工程项目的研究与应用.     

基于KBE实施体系的研究

基于知识的工程技术(Knowledge Based Engineering,KBE)是人工智能、CAD系统、计算机软件技术相结合的产物。其在工程设计领域产生了广泛影响,大量应用在航空航天、汽车、船舶等行业,具有广泛的应用前景和发展潜力。本文提出了一种KBE的实施体系和利用拓扑规则处理领域知识的方法。该体系捕捉和重用工程知识,向工程师提供自动化的设计手段。     

基于多属性的专利知识表征与组织

针对专利知识传统获取方式中存在的技术领域局限,利用矛盾、物质-场、功能、发明原理、标准解和效应等6种创新属性构建专利知识多属性表征模型;每种创新属性均采用对应的属性层次树进行多层次描述,并由此提出了基于多属性的专利知识多层次组织策略及算法流程;在此基础上,给出了基于该模型的应用框架.通过上述方法构建得到基于多属性多层次的本地专利库,从多个属性角度对专利知识进行综合表征,并支撑不同层次专利知识的获取.从而,打破了技术领域的局限,促进跨学科、跨领域专利知识的快速、有效获取,有利于激发设计人员进行类比迁移.最后,通过微纳空心镍球制备方法的改进示例说明该模型的可行性.     

基于规则和模糊线性规划表示的专家系统研究

专家系统是人工智能学科的重要分支,知识表示是专家系统的核心研究内容之一。本文首先分析现有的知识表示方法,结合专家系统技术在乳业领域应用的特点,引入定量计算方法,给出模糊线性规划的模型及算法。然后,提出两种线性规划求解和推理过程结合的专家系统应用模型,并从中总结出一种新的知识表示形式——基于规则和线性规划的知识表示。最后,给出这种知识表示方法在乳业专家系统中的应用。     

Study on Case—Based Fixture Design

Fixture is an important manufacturing activity.Afixture design system based on case-based reasoning(CBR) is proposed in this paper.A nwe method of case representation on the basis of fixture function is presented,where the case representation is constituted of workpiece knowledge,processing feature knowledge,and fixture feature knowledge.Running the prototype system shows that the knowl-edge representation method ,using cases,is a better way to transform and explain the design knowl-edge.     

二叉树型知识获取与推理技术研究

通过应用计算机可视化技术、二叉树表达技术、XML数据库技术和推理技术,开发了基于可视化技术的专家知识采集与知识推理系统.其推理机利用了无状态连续推理技术,提高了有害生物知识采集和系统推理的效率.系统具有简单易用的特点,植保专家可以方便地利用该系统构建有害生物调控知识库.     

A hybrid case-based reasoning CAD system for injection mould design

Injection mould design generally lies on the critical path of a new product development. The design efficiency will have significant impact on the overall lead time of a new product. This paper presents a prototype injection mould-design system using a hybrid case-based reasoning (HCBR) approach. Case-based reasoning (CBR) is a solving paradigm that uses previous episodes on solving problems similar to the problem at hand (the new problem) as the basis for solving the new problem. In this hybrid system, CBR is incorporated with generalized design knowledge, and provides a flexible and comprehensive model of design. The knowledge base of the system would be accessed by mould designers through interactive programs so that their own intelligence and experience could also be incorporated with the total mould design. The approach provides a workable model of mould design system with CBR and knowledge-based expert system intelligent support, which could suggest good and proven design solutions to new design problems quickly, avoiding the time necessary to create those designs from scratch, for the plastic products manufacturing industry.     

大型调水工程索赔管理决策支持系统的研究和实现

针对我国大型调水工程建设施工索赔经验少、索赔专家稀缺的实际情况,将人工智能中的基于事例推理(CBR)技术和基于规则推理(RBR)技术应用于索赔管理,将以往的水利工程索赔事例以一定的结构和方式存储,设计并实现了基于知识的施工索赔决策支持系统,具有较强的实用性。目前研究应用于某大型调水工程施工管理系统。     

OPSYN: A CAD BASED EXPERT SYSTEM FOR OPTIMUM STRUCTURAL SYNTHESIS

This paper presents an overview of an expert system, OPSYN, for optimum structural synthesis, with particular emphasis on the significance of the development environment for such systems. The knowledge base for this system includes rules for facilitating finite element modeling, optimum design modeling, and selection of optimization strategies and parameters. The environment for this development is an inference engine with both forward and backward reasoning capabilities, a detailed explanation facility, and an automated knowledge acquisition system with a knowledge base editor facility. The use of a computer aided design (CAD) interface with its significant data structure and graphics capabilities in the knowledge acquisition and knowledge representation process is demonstrated with this expert system.     

A Prototype for Diagnosis of Psoriasis in Traditional Chinese Medicine

Psoriasis is a chronic, non-communicable, painful, disfiguring and disabling disease for which there is no cure, with great negative impact on patients’ quality of life (QoL). Diagnosis and treatment with traditional Chinese medical technique based on syndrome differentiation has been used in practice for a long time and proven effective, though, up to now, there are only a few available studies about the use of semantic technologies and the knowledge systems that use Traditional Chinese Medicine (TCM)-syndrome differentiation for information retrieval and automated reasoning. In this paper we use semantic techniques based on ontologies to develop a prototypical system for the diagnosis of Psoriasis. For this purpose, a domain ontology is developed for syndrome differentiation of psoriasis vulgaris (PV). This ontology is founded on an adapted version of the general formal ontology (GFO), with the evidence-based clinical practice guideline of TCM for psoriasis vulgaris (Guideline 2013) as the primary data sources. The implemented prototype, called ONTOPV, contains this domain ontology and is aimed at a decision support system for diagnosis and treatment of PV. This system uses a case-database for Case Based Reasoning (CBR), combined with fuzzy pattern recognition. Experimental results show that the ONTOPV realizes the basic functionalities of data collection, querying, browsing and navigation, and supports rule-based knowledge reasoning, and integrates fuzzy pattern recognition. It can provide users with clinical decision support for TCM syndrome differentiation in diagnosis of psoriasis.