Artificial intelligence is a new technological science that researches and develops theories,methods,technologies and application systems for simulating,extending and expanding human intelligence.It simulates certain ...Artificial intelligence is a new technological science that researches and develops theories,methods,technologies and application systems for simulating,extending and expanding human intelligence.It simulates certain human thought processes and intelligent behaviors(such as learning,reasoning,thinking,planning,etc.),and produces a new type of intelligent machine that can respond in a similar way to human intelligence.In the past 30 years,it has achieved rapid development in various industries and related disciplines such as manufacturing,medical care,finance,and transportation.展开更多
An intelligent coordinated control strategy has been proposed and successfully applied to a 300MW boiler-turbine unit i. e. Unit 1 of Yuanbaoshan power plant in China. Load following operation of coal-fired boiler-tur...An intelligent coordinated control strategy has been proposed and successfully applied to a 300MW boiler-turbine unit i. e. Unit 1 of Yuanbaoshan power plant in China. Load following operation of coal-fired boiler-turbine unit in the power plant leads to changes in operating points which result in nonlinear variations of the plant variables and parameters. For the variation of operating condition and slowly varying dynamics, an intelligent control scheme has been developed by combining fuzzy self-tuning with adaptive control and auto-tuning techniques. As there exist strong couplings between control loops of main steam pressure and power output in the unit, a new design for static decoupler aimed at decoupling for setpoints and unmeasured pulverized coal disturbance of the system at the same time is presented. Satisfactory industrial application results show that such a control system has enhanced adaptability and robustness to the complex process, and better control performance and high economic benefit have been obtained.展开更多
The implementation of artificial intelligence(AI)in a smart society,in which the analysis of human habits is mandatory,requires automated data scheduling and analysis using smart applications,a smart infrastructure,sm...The implementation of artificial intelligence(AI)in a smart society,in which the analysis of human habits is mandatory,requires automated data scheduling and analysis using smart applications,a smart infrastructure,smart systems,and a smart network.In this context,which is characterized by a large gap between training and operative processes,a dedicated method is required to manage and extract the massive amount of data and the related information mining.The method presented in this work aims to reduce this gap with near-zero-failure advanced diagnostics(AD)for smart management,which is exploitable in any context of Society 5.0,thus reducing the risk factors at all management levels and ensuring quality and sustainability.We have also developed innovative applications for a humancentered management system to support scheduling in the maintenance of operative processes,for reducing training costs,for improving production yield,and for creating a human–machine cyberspace for smart infrastructure design.The results obtained in 12 international companies demonstrate a possible global standardization of operative processes,leading to the design of a near-zero-failure intelligent system that is able to learn and upgrade itself.Our new method provides guidance for selecting the new generation of intelligent manufacturing and smart systems in order to optimize human–machine interactions,with the related smart maintenance and education.展开更多
The by-product of coal combustion,coal fly ash(CFA),has become one of the world’s most emitted solid wastes,and bulk utilization while achieving high value-added products is the focus of current research.Using CFA to...The by-product of coal combustion,coal fly ash(CFA),has become one of the world’s most emitted solid wastes,and bulk utilization while achieving high value-added products is the focus of current research.Using CFA to prepare zeolite cannot only reduce environmental pressure,but also obtain high value-added products,which has a good market prospect.In this paper,the research progress of hydrothermal synthesis method of CFA zeolites is reviewed in detail and summarized several other synthetic methods of CFA zeolites.This review also presents an overview of CFA zeolites application in environmental applications like water treatment,gas adsorption and soil remediation.However,a considerable number of literature data have documented using CFA zeolites for water treatment,whereas research on CFA zeolites application to gas adsorption and soil remediation is still limited.In addition,the current status of basic research on the industrial production of CFA zeolites is briefly summarized,and the development trend of the synthetic zeolite of CFA is prospected.After the feasibility analysis of the industrial production of CFA zeolite,it is concluded that the only two methods with high feasibility for industrial application are two-step hydrothermal and alkali melting methods,and the industrial production technology still needs to be studied in depth.展开更多
文摘Artificial intelligence is a new technological science that researches and develops theories,methods,technologies and application systems for simulating,extending and expanding human intelligence.It simulates certain human thought processes and intelligent behaviors(such as learning,reasoning,thinking,planning,etc.),and produces a new type of intelligent machine that can respond in a similar way to human intelligence.In the past 30 years,it has achieved rapid development in various industries and related disciplines such as manufacturing,medical care,finance,and transportation.
基金This project was supported by the National Nature Science Foundation of China( 60074004).
文摘An intelligent coordinated control strategy has been proposed and successfully applied to a 300MW boiler-turbine unit i. e. Unit 1 of Yuanbaoshan power plant in China. Load following operation of coal-fired boiler-turbine unit in the power plant leads to changes in operating points which result in nonlinear variations of the plant variables and parameters. For the variation of operating condition and slowly varying dynamics, an intelligent control scheme has been developed by combining fuzzy self-tuning with adaptive control and auto-tuning techniques. As there exist strong couplings between control loops of main steam pressure and power output in the unit, a new design for static decoupler aimed at decoupling for setpoints and unmeasured pulverized coal disturbance of the system at the same time is presented. Satisfactory industrial application results show that such a control system has enhanced adaptability and robustness to the complex process, and better control performance and high economic benefit have been obtained.
文摘The implementation of artificial intelligence(AI)in a smart society,in which the analysis of human habits is mandatory,requires automated data scheduling and analysis using smart applications,a smart infrastructure,smart systems,and a smart network.In this context,which is characterized by a large gap between training and operative processes,a dedicated method is required to manage and extract the massive amount of data and the related information mining.The method presented in this work aims to reduce this gap with near-zero-failure advanced diagnostics(AD)for smart management,which is exploitable in any context of Society 5.0,thus reducing the risk factors at all management levels and ensuring quality and sustainability.We have also developed innovative applications for a humancentered management system to support scheduling in the maintenance of operative processes,for reducing training costs,for improving production yield,and for creating a human–machine cyberspace for smart infrastructure design.The results obtained in 12 international companies demonstrate a possible global standardization of operative processes,leading to the design of a near-zero-failure intelligent system that is able to learn and upgrade itself.Our new method provides guidance for selecting the new generation of intelligent manufacturing and smart systems in order to optimize human–machine interactions,with the related smart maintenance and education.
基金supported by the National Natural Science Foundation of China(No.51904278)the Fundamental Research Program of Shanxi Province(No.202103021223277)+1 种基金the Taiyuan University of Science and Technology Doctoral Research Fund(No.20212025)the Natural Science Foundation of Shanxi Province(No.20210302123218).
文摘The by-product of coal combustion,coal fly ash(CFA),has become one of the world’s most emitted solid wastes,and bulk utilization while achieving high value-added products is the focus of current research.Using CFA to prepare zeolite cannot only reduce environmental pressure,but also obtain high value-added products,which has a good market prospect.In this paper,the research progress of hydrothermal synthesis method of CFA zeolites is reviewed in detail and summarized several other synthetic methods of CFA zeolites.This review also presents an overview of CFA zeolites application in environmental applications like water treatment,gas adsorption and soil remediation.However,a considerable number of literature data have documented using CFA zeolites for water treatment,whereas research on CFA zeolites application to gas adsorption and soil remediation is still limited.In addition,the current status of basic research on the industrial production of CFA zeolites is briefly summarized,and the development trend of the synthetic zeolite of CFA is prospected.After the feasibility analysis of the industrial production of CFA zeolite,it is concluded that the only two methods with high feasibility for industrial application are two-step hydrothermal and alkali melting methods,and the industrial production technology still needs to be studied in depth.
