EXPERT OPTIMIZED CONTROL TECHNIQUE FOR ELECTROLYTIC DEPOSITION PROCESS OF HYDROMETALLURGY OF ZINC

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DESIGN OF AN EXPERT CONTROL SYSTEM FOR LEACHING PROCESS

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AN EXPERT CONTROL SYSTEM FORPURIFICATION PROCESS

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Design and development of expert system for controlling sintering process

The general structure of expert system for controlling sintering process has been proposed. It includes knowledge base, inference engine, data acquisition system, learning system, knowledge base management system, explanation system and so on. The control functions consist of sintering chemical composition control centered on basicity and sintering process state control centered on permeability. The adaptive prediction of sintering chemical composition, the control strategy centered on basicity, the control strategy centered on permeability, the judgement of permeability and the prediction of burn through point were studied. The software of system, which includes about 1 000 expert rules, was successfully applied in off line control of sintering process in a sintering plant.

Expert fault diagnosis system for leaching process in zinc hydrometallurgy

Leaching process is the first step in zinc hydrometallurgy, which involves the complex chemical reactions for dissolving zinc bearing material in dilute sulfuric acid. Ensuring the safe running of the process is a key point in the operation. An expert fault diagnosis system for the leaching process was proposed, which has been implemented in a nonferrous metals smeltery. The system architecture and the diagnosis procedure were presented, and the rule models with the certainty factor were constructed based on the empirical knowledge, empirical data and statistical results on past fault countermeasures, and an expert reasoning strategy was proposed which employs the rule models and Beyes presentation and combines forward chaining and backward chaining. [

Designing a Fuzzy Expert System to Evaluate Alternatives in Fuzzy Analytic Hierarchy Process

This paper concerns with proposing a fuzzy logic based expert system to breakthrough the problem of alternatives evaluation in Analytic Hierarchy Process (AHP). AHP as a multi criteria decision aid helped decision makers for ana-lyzing and prioritizing the alternatives in a hierarchical structure. During times AHP encountered some problems. Hence, fuzzy analytic hierarchy process (FAHP) and some other extensions of AHP have been configured to solve those problems.

Skeletal tool of mineral processing expert system

By use of the integrated knowledge of mineral engineering, mineral processing, expert system, artificial neural networks(ANN), genetic algorithm, fuzzy mathematics and multimedia technology etc., MPES(mineral processing expert system) skeletal tool has been built, which is a construction tool for expert systems in the field of mineral processing. This system is programmed by C ++ language on microsoft windows platform, including multiple knowledge and reasoning methods, and can be used to build new expert systems for ore beneficiability prediction, mill design, faults diagnosis, production control and management decision.

Expert control strategy using neural networks for electrolytic zinc process

The most important parameters which control the electrolytic process are the concentrations of zinc and sulfuric acid in the electrolyte. An expert control strategy for determining and tracking the optimal concentrations was proposed, which uses neural networks, rule models and a single loop control scheme. First, the process was described and the strategy that features an expert controller and three single loop controllers was explained. Next, neural networks and rule models were constructed based on statistical data and empirical knowledge on the process. Then, the expert controller for determining the optimal concentrations was designed through a combination of the neural networks and rule models. The three single loop controllers used the PI algorithm to track the optimal concentrations. Finally, the implementation of the proposed strategy were presented. The run results show that the strategy provides not only high purity metallic zinc, but also significant economic benefits.

A FUZZY MATCH BASED EXPERT SYSTEM FOR SYNTHESIS OF SEPARATION PROCESSES

A predictive parallel search algorithm,the fuzzy match inference strategy,is implemented ina prototype expert system.Selection of separation technologies and sequencing of separators are beingapproached in an integrated manner.The fuzzy match mechanism results in a relatively smaller subsetof favored schemes,constituting a hyperstructure for further quantitative evaluation and combinationoptimization.An industrial application example of aromatics extraction separation is presented.

EXPERT SYSTEM FOR CONTROLLING THE STATE OF SINTERING PROCESS

In order to control sintering process,improve permeability and stabilize burn through point, a control scheme which combines thermal state with permeability state is proposed, and an expert system for controlling sintering process state is developed, the software which includes about 1000 expert rules is successfully applied to off line control of sintering process.

WANG DIANZUO—DISTINGUISHED EXPERT OF MINERAL PROCESSING

Mr. Vang Dianzuo was born in 1934, He entered Central-South Inst-

Neuro-Knowledge-Based Expert System (NKBES) for Optimal Scheming of Die Casting Process

We develop a neuro-knowledge-based expert system (NKBES) frame in this work. The system mainly concerns with decision of gating system and die casting machine based on a neuro-inference engine launched under the MATLAB software environment. For enhancement of reasoning agility, an error back-propagation neural network was applied. A rapidly convergent adaptive learning rate (ALR) and a momentum-based error back-propagation algorithm was used to conduct neuro-reasoning. The working effect of the system was compared to a conventional expert system that is based on a two-way (forward and backward) chaining inference mechanism. As the reference, the present paper provided the neural networks sum-squared error (S5E) and ALR vs iterative epoch curves of process planning case mentioned above. The study suggests that the neuro-modeling optimization application to die casting process design has good feasibility, and based on that a novel and effective intelligent expert system can be launched at low cost.

Development of Expert Controller for Plasma Spraying Process

Aiming at the plasma spraying process control, the control system model is developed on the basis of analyzing control parameters and coating properties and their correlation, and the corresponding control method and regulations are also given. With the developed expert controller for plasma spraying process, stable spraying can be realized using ordinary spraying powder and the coating of compaction, homogeneity and high bonding strength can be obtained.

Computer Aided Process Planning Expert System for Die Forging

This paper presents a software developed for the computer aided die forging process planning expert system, an expert knowledge base built in an appropriate knowledge representation form in accordance with special features of die forging technology, an inference engine combining procedural reasoning with backward reasoning by means of a blackboard to satisfy the multi level and multi goal requirements for the system, and maintenance of the system in the way of semi automatic knowledge acquisition.

基于知识封装的船舶阻力性能虚拟试验流程研发及其应用效果分析

本文依托“属性细分,知识封装”的原则,开展基于RANS方程的船舶阻力性能虚拟试验应用流程研究,通过封装虚拟试验专家知识,建立船舶阻力性能虚拟试验应用流程。该流程对标物理水池模型试验流程,用户仅需输入试验对象几何曲面以及主尺度参数,即可开展阻力性能精细预报工作。经大子样验证,该流程预报精度高、效果好,与传统CFD阻力数值计算相比,可大幅提高船舶阻力性能的评估效率,缩短船舶性能研发周期,大幅降低应用门槛。

静脉用药调配中心感染防控质量评价指标体系的构建

目的:构建静脉用药调配中心(静配中心)感染防控质量评价指标体系。方法:在河南省静配中心感染防控现状调查结果和文献回顾基础上,基于“结构-过程-结果”理论模型,采用专家咨询法和层次分析法,制订静配中心感染防控质量评价指标体系。结果:两轮专家咨询权威系数分别为0.89和0.90,肯德尔协调系数分别为0.358和0.531(P均<0.05)。构建的指标体系包括3个一级指标、7个二级指标、21个三级指标。三级指标中调配操作规范性、环境卫生学监测合格率、工作人员手卫生监测合格率和质量控制管理规范性组合权重最高,分别为0.086、0.070、0.070和0.063。结论:构建的指标体系专业、科学和全面,对静配中心感染防控规范化管理具有指导意义。

中国健康生活方式综合评价指数的构建研究

目的:建立中国健康生活方式综合评价指数(CHLI),以用于综合评估中国人群的生活方式健康水平。方法:通过文献研究初步筛选相关指标,利用德尔菲专家咨询法确定入选指标,利用层次分析法计算各指标权重,通过加权求和最终形成CHLI。结果:第1、2轮专家咨询的积极程度分别为92.9%和93.8%,权威系数分别为0.846±0.027和0.861±0.030,结果具有可靠性;两轮一级指标和二级指标重要性评分意见的肯德尔协调系数分别为0.482和0.451,0.535和0.557(P均<0.001),专家意见的协调性较好。构建CHLI的指标体系包括5个一级指标和28个二级指标,一级指标按权重大小依次为膳食(0.239)、精神心理(0.220)、身体活动(0.198)、尼古丁暴露(0.175)和睡眠(0.167);二级指标的组合权重范围在0.009~0.198;层次分析判断矩阵的一致性比例均小于0.1,结果可信度较高。结论:本研究构建的CHLI可以用于综合评估中国人群的生活方式健康水平。

Application of an expert system using neural network to control the coagulant dosing in water treatment plant

The coagulation process is one of the most important stages in water treatment plant, which involves many complex physical and chemical phenomena. Moreover, coagulant dosing rate is non-linearly correlated to raw water characteristics such as turbidity, conductivity, PH, temperature, etc. As such, coagulation reaction is hard or even impossible to control satisfactorily by conventional methods. Based on neural network and rule models, an expert system for determining the optimum chemical dosage rate is developed and used in a water treatment work, and the results of actual runs show that in the condition of satisfying the demand of drinking water quality, the usage of coagulant is lowered.

Design-Expert响应面法优选无糖型乳康颗粒成型工艺

目的优选无糖型乳康颗粒的成型工艺。方法以干膏粉与辅料用量配比、乙醇体积分数、乙醇用量为考察因素,以颗粒成型性、溶化性、吸湿性、流动性为评价指标,采用Design-Expert响应面法优选无糖型乳康颗粒的成型工艺。结果无糖型乳康颗粒的最佳成型工艺为乳糖与甘露醇配比1∶1,干膏粉与辅料用量配比1∶1.5,乙醇体积分数70.94%,乙醇用量为混合药粉的12.94%。结论优化后的工艺稳定、可靠,所制得的颗粒外观粒度及流动性均较好,吸湿性小,溶化性佳,可用于无糖型乳康颗粒的生产。