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...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. [展开更多
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 wate...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.展开更多
An expert system for biomass soft-sensor hybrid modeling in fermentation process was decribed in this paper.A production rules representation based on database was presented.The definitions of production rules for bio...An expert system for biomass soft-sensor hybrid modeling in fermentation process was decribed in this paper.A production rules representation based on database was presented.The definitions of production rules for biomass soft-sensor hybrid modeling knowledge were proposed.A knowledge base with layered structure was introduced.A breadth-first reasoning approach based on match degree(BFMD) was developed.The definition and calculation method of match degree were illustrated.Compared with the depth-first reasoning approach based on exhaustive method(DFEM),the BFMD needs fewer introduced variables.This expert system could reduce the reasoning steps effectively,and advance reasoning efficiency.Tests shows that reasoning efficiency of the expert system using BFMD in the knowledge base with layered structure is improved 12.9% averagely,compared with using DFEM in the knowledge base with ranking structure.展开更多
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 concentrati...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.展开更多
Both HIV and COVID-19 infections show that the centuries-old scientifically established epidemiological rules are still valid today, but they have to be applied in time and in a correct manner. Furthermore, when incom...Both HIV and COVID-19 infections show that the centuries-old scientifically established epidemiological rules are still valid today, but they have to be applied in time and in a correct manner. Furthermore, when incompetent funded “rights defenders” or political organizations referring to human rights have spread lies and have spoken against the experts-created epidemiological rules as well as the acceptance of vaccination, they have not only cheated everybody but they could also be accused by the crime of endangering of great mass of people which action can cause occasionally death also! It has to be also stated that the interests and rights of the total population are always over that of a single person and also realized that all pathogens live their own life among us according to their determinacy independently from our rights and interests!展开更多
文摘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. [
基金This work was supported by the project 863 ofChina(No.863-511092)
文摘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.
基金National Natural Science Foundation of China (No. 20476007,No. 20676013)
文摘An expert system for biomass soft-sensor hybrid modeling in fermentation process was decribed in this paper.A production rules representation based on database was presented.The definitions of production rules for biomass soft-sensor hybrid modeling knowledge were proposed.A knowledge base with layered structure was introduced.A breadth-first reasoning approach based on match degree(BFMD) was developed.The definition and calculation method of match degree were illustrated.Compared with the depth-first reasoning approach based on exhaustive method(DFEM),the BFMD needs fewer introduced variables.This expert system could reduce the reasoning steps effectively,and advance reasoning efficiency.Tests shows that reasoning efficiency of the expert system using BFMD in the knowledge base with layered structure is improved 12.9% averagely,compared with using DFEM in the knowledge base with ranking structure.
文摘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.
文摘Both HIV and COVID-19 infections show that the centuries-old scientifically established epidemiological rules are still valid today, but they have to be applied in time and in a correct manner. Furthermore, when incompetent funded “rights defenders” or political organizations referring to human rights have spread lies and have spoken against the experts-created epidemiological rules as well as the acceptance of vaccination, they have not only cheated everybody but they could also be accused by the crime of endangering of great mass of people which action can cause occasionally death also! It has to be also stated that the interests and rights of the total population are always over that of a single person and also realized that all pathogens live their own life among us according to their determinacy independently from our rights and interests!
