A Vovel Constracture of Combinatorial Knowledge Base for the Expert System of Eletrical Switching

By comparing the techniges of the production and the logic predicate for knowledge representation, this paper presents a kind of constructure of combinatorial knowledge base applied to the expert system for switch operation in electric power system . This constructure of knowledge base to be expanded and revised easily,and it is cinvenitnt to build the general shell of the expert system.     

Study on the Method of Intelligence Fault Diagnosis System for Drill

It is very difficult to simulate the motion process of drill by accurate mathematics model for the complexity and invisibility of stratum. The fault of drill is usually identified and disposed by personal experience so far. This means it can not estimate the trend of the equipment running good or not and the reason conduced the fault or location and degree of fault by data measured. Farther, it can not give the expert suggestions. Based on the studying of drill fault, artificial intelligence and expert system have been used in the petroleum drilling engineering, the theory and method of fault diagnosis intelligence system for drill have been studied. It also constitutes the expert knowledge database of graphic Fuzzy Neural Network for the familiar fault of drill. The intelligence reasoning machine which consists of expert rule, Fuzzy logic and artificial Neural Network have been bring forward. And the fault diagnosis system it makes for drill can be applied in complex system which includes multi-variable, multi-parameter and multi-process.     

A Practical Expert System for Plant of Tomato

Research for expert system of tomato planting, it intents to set up a all around expert decision system combining agriculture knowledge, scientific research production and practical experience with computer technology. This system makes the best of the modern multimedia computer technology, which gathers words, sound and image .It provides visual, intuitive,scientific and convenient environment using. Moreover, it employs theories of Artificial Neural Network and Expert System, combines experience of experts in tomato's field and simulates agricultural experts to guide farmers to plant tomato.     

Optimize graphics reasoning technlogy and its application on sheep diseases curing expert system

Expert system is a program system that prossesses special knowledge and esperience, is reasoning solving process which simulates experts according to special konwledge and espericence with artificial intelligence. This paper discusses the decision-making technology and method of expert system based diagram reasoning, the optimized diagram reasoning is also pointed out. The development technology and method of sheep diseases curing system is expatiated.     

专家系统在果树中的应用及研究进展

专家系统是一种模拟人类专家解决领域问题的计算机系统,它主要分为知识库、综合数据库、推理机、解释器、接口等几部分。现今,国内果树专家系统的应用类型主要分为果树栽培生产专家系统和果树营养、病虫害诊断防治决策系统两类;在果树专家系统上的应用研究最多的计算机理论主要是：人工神经网络、模糊神经网络、多媒体技术、Web技术等;果树专家系统的开发手段主要是利用现成的农业专家系统平台直接进行二次开发,还有少数是直接利用程序语言进行原型系统开发。今后随着信息技术的不断发展,利用果树学的特点结合先进的计算机理论和技术,将开发出动态的、更具智能化的果树专家系统。     

Research in Automation Process Planning About Sheet Metal

Along with the development and appliance of the artificial intelligence, professional have adopted many kinds of methods such as expert system, NN and so on to explore an innovation type CAPP. The paper gives a brief introduction to the principle and design methods of process planning based on the theory of expert system developing a computer aided process planning system of sheet metal and discusses in detail the system uses the network graph to describe the parts and technology decision-making route, and the methods of separated reasoning and various expressions of knowledge are used to solve the complexity of development in CAPP research. Finally satisfied the requirement of the practicability?opening and intelligence about the system.     

基于ES的植被景观多样性评价模型研究

介绍植被景观多样性评价模型的设计思想,然后进行构造其专家系统,该系统采用模块化程序设计技术,分为预处理、综合库、知识库、推理机、知识获取及知识管理和总菜单等6个模块,整个系统在主菜单控制下运行,各模块能独立运行。专家系统程序采用雄风专家系统开发平台VisualXF6.1,GIS由Arc/Info系统支撑。最后以永泰县为应用实例进行研究,创建永泰县植被景观多样性评价专家系统,对全县进行植被景观多样性评价,按景观多样性程度由高到低共评价5个等级,2243.4km2,评价结果与实际情况一致。     

Knowledge-based ECG Automatic Diagnosis System

This paper presents the structure of a knowledge-based ECG automaticdiagnosis system and the key technologies applied in the system. Using database technology to store, the ECG knowledge-database is constituted of ECG knowledgeand a set of rules .The inference engine of the system simulates the real diagnosis of the experts and combines the forward reasoning with inexact reasoning. At the same time, complicated reasoning is avoided. Because the inference engine is independent of what is stored in the ECG knowledge-database, the system is suitable for expert system.     

Expert System for Artificial Intelligence Blast Furnace Smelting Process

In order to upgrade traditional industry and realize the automation of furnace condition judgement and standardization of operation, an expert system for various furnace conditions and breakdown judgement and operation guidance on blast furnace are developed based on the theory of artificial intelligence and knowledge engineering. The system is fulfilled through C++Builder and combined with the actual production picture. The system has efficient and convenient man-machine interface by using menu operation method. The testing and operation of actual production data in simulation system indicate that the system is exact and reliable and can provide both the warning of various furnace breakdown and corresponding operation guidance.     

基于本体推理和数据挖掘的良好农业规范专家系统

针对良好农业规范(good agricultural practices,GAP)标准内容复杂,不易被农业生产者准确使用的问题,将本体推理和数据挖掘技术相结合,构建了良好农业规范专家系统,实现标准知识查询和GAP控制点推荐等功能,更好的帮助生产者理解和使用GAP。系统构建过程中,采用本体知识表示方法构建GAP标准知识库,通过解析“良好农业规范生产和认证信息服务平台”的GAP电子检查表记录,对挖掘过程中涉及的关联规则算法进行分析和改进,挖掘分析了用户对控制点使用的偏好。设计了控制点评价模型,实现了GAP控制点的择优推荐。系统基于MVC模式,设计为3层体系架构。通过测试应用,用户能够准确和容易的使用GAP标准。     

Hierarchy Group Decision-making Method of Evaluation of Residential Areas Architecture Design Schemes

For incarnating the effects of the preference of the potential users of residential areas or decision makers on the evaluation of architecture design schemes,a two hierarchy multi-attribute group decision model is established.How to obtain the decision matrix of expert evaluation incarnates the influence of difference of professional knowledge among experts on decision.Multi-attribute decision making method based on uncertain linguistic assessment is used to determine the users' preference on schemes.The weight of attributes is determined by a optimization model that makes the difference of attribute assessment between expert and user minimum,and those weights are used in expert decision.This can enable the model to reflect correctly the actual situation of such decision making question.     

Application of a Particle Swarm Optimization Algorithm in Truss Structure Optimal Design

The particle swarm optimization (PSO) algorithm developed in recent years is a stochastic optimization algorithm based on swarm intelligence. It possesses advantages such as being a simple concept, ease of implementation and low resource occupation. The PSO algorithm was adopted to solve the problem of size optimization of truss structures with stress and displacement constraints. We present the basic principle of the original PSO algorithm in detail, and then introduce a constriction coefficient to modify it. Moreover, reasonable values of the coefficients are proposed for the modified PSO algorithm. Several classical problems are solved using the modified PSO algorithm, and the results compared with those using traditional optimization algorithms and genetic algorithms. Numerical results show that the modified PSO algorithm has good convergence and stability, and can be applied to the size optimization of truss structures.     

An expert system for diagnosing fire-caused damages to reinforced-concrete tunnel lining

During the last four decades, reinforced-concrete structure failures have been happening widely for many reasons, such as increased service loads, war accidents, fire, and durability problems. The economic losses due to those failures are very high. An expert system is an interactive computer-based decision tool that uses both facts and heuristics to solve difficult problems based on knowledge acquired from experts. To realize these requirements, a logic programming visual basic language is used together with visual diagnosis. The expert system, Diagnosis of Fire-Caused Damages to Reinforced-Concrete Tunnel Lining (DFCDRCTL) was developed in this work for diagnosing the annual damages caused by fire. The program is used as an alternative of a human expert to make annual technical decisions in diagnosing fire damages at the second reinforced-concrete tunnel lining segment. It is concluded that the proposed DFCDRCTL expert system is easy to use, and is fast and helpful for engineers.     

基于知识溢出效应的供应链企业利益协调研究

针对知识溢出时供应链企业间的利益分配问题,引入了供应链成员的参与度和贡献因子等来模拟资源共享或协同创新活动所产生的溢出现象,并提出了包括共享认知、技术差距、经济与空间地理、溢出风险控制和溢出成果补偿等主要驱动因素。综合运用修正Shapley模型和专家打分的方法进行模糊组合决策分析,通过模拟由3个成员组成的供应链企业,计算出每个成员的贡献度和其对知识溢出的效应差异,发现知识共享认知因素和溢出效果的补偿因素对供应链企业整体利益协调有较大的影响。最后指出修正模型的合理性,结果也表明知识溢出的量化是个关键性问题,也亟需相应补偿机制的研究。     

基于3G网络的果树病虫害可视化诊断系统研究

为提高农业专家系统的工作效率和使用效果,促进其普及应用,对无线通信网络应用于农业专家系统进行探讨,设计基于3G网络的可视化病虫害系统,用户可通过手机终端访问系统,传送病虫害特征信息,在线获取病虫害防治解决方案。结果表明该系统具有良好的普适性,为果树栽培管理提供了技术支撑工具。     

县域水稻精确施肥地理信息系统研究与开发——以姜堰市为例

针对生产上重施氮肥现象普遍存在,且缺少定量施肥决策信息技术支撑问题,基于Visual Basic 6.0与MapObjects 2.2开发出县域水稻精确施肥地理信息系统。该系统具有电子地图、施肥决策、施肥知识等模块,可实现信息浏览、地图导航、属性查询、决策支持、学习辅导等功能。系统具有功能可用性、可靠性、易用性强等特点,达到系统设计目标。     

水产养殖专家系统的设计与实现

为了提高水产养殖现代化管理水平,实现水产养殖自动化管理和控制,采用可视化软件开发工具Visual C++,动态连接库、神经网络模型等技术,设计并实现了水产养殖专家系统。该系统包括水质环境监控、养殖生产管理、专家知识查询、经济分析、系统设置和在线帮助等模块。系统能自动进行养殖环境水质数据采集和数据记录,并根据不同的养殖对象、环境、方式和状况实时进行专业化智能数据分析处理,最后将处理结果及时输出作报警人工处理或全自动控制。     

乳制品冷链物流的库存-生产策略优化研究

在日益激烈的企业生存竞争中,针对乳制品生产企业如何选取合适的生产批量和库存水平的问题,提出了成本-时间-客户满意度的三目标优化模型。首先,考虑乳制品的库存费用、周转时间和客户满意度,分别建立库存生产成本、库存周转时间和客户满意度优化模型;其次,以生产批量和库存水平为决策变量,应用多目标遗传算法,集成库存生产成本模型、库存周转时间模型和客户满意度模型,求出所有非劣解;最后,应用伪权向量法,通过保质期不同的产品验证提出的模型。结果表明,对于不同保质期的产品,均可得出最优库存生产批量大小和最优库存水平。     

Design of permanent magnet direct current motors based on a particle swarm optimization algorithm

We introduce a particle swarm optimization (PSO) algorithm and verified it using the Shubert function. The PSO algorithm is applied to design optimization of permanent magnet DC motors (PMDCMs). The optimal objects, decision variables and restricted condi