Traditional studies on integrated statistical process control and engineering process control (SPC-EPC) are based on linear autoregressive integrated moving average (ARIMA) time series models to describe the dynamic n...Traditional studies on integrated statistical process control and engineering process control (SPC-EPC) are based on linear autoregressive integrated moving average (ARIMA) time series models to describe the dynamic noise of the system.However,linear models sometimes are unable to model complex nonlinear autocorrelation.To solve this problem,this paper presents an integrated SPC-EPC method based on smooth transition autoregressive (STAR) time series model,and builds a minimum mean squared error (MMSE) controller as well as an integrated SPC-EPC control system.The performance of this method for checking the trend and sustained shift is analyzed.The simulation results indicate that this integrated SPC-EPC control method based on STAR model is effective in controlling complex nonlinear systems.展开更多
A hybrid neural network model,in which RH process(theoretical)model is combined organically with neural network(NN)and case-base reasoning(CBR),was established.The CBR method was used to select the operation mode and ...A hybrid neural network model,in which RH process(theoretical)model is combined organically with neural network(NN)and case-base reasoning(CBR),was established.The CBR method was used to select the operation mode and the RH operational guide parameters for different steel grades according to the initial conditions of molten steel,and a three-layer BP neural network was adopted to deal with nonlinear factors for improving and compensating the limitations of technological model for RH process control and end-point prediction.It was verified that the hybrid neural network is effective for improving the precision and calculation efficiency of the model.展开更多
Design of general multivariable process controllers is an attractive and practical alternative to optimizing design by evolutionary algorithms (EAs) since it can be formulated as an optimization problem. A closed-loop...Design of general multivariable process controllers is an attractive and practical alternative to optimizing design by evolutionary algorithms (EAs) since it can be formulated as an optimization problem. A closed-loop particle swarm optimization (CLPSO) algorithm is proposed by mapping PSO elements into the closed-loop system based on control theories. At each time step, a proportional integral (PI) controller is used to calculate an updated inertia weight for each particle in swarms from its last fitness. With this modification, limitations caused by a uniform inertia weight for the whole population are avoided, and the particles have enough diversity. After the effectiveness, efficiency and robustness are tested by benchmark functions, CLPSO is applied to design a multivariable proportional-integral-derivative (PID) controller for a solvent dehydration tower in a chemical plant and has improved its performances.展开更多
To overcome the large time-delay in measuring the hardness of mixed rubber, rheological parameters were used to predict the hardness. A novel Q-based model updating strategy was proposed as a universal platform to tra...To overcome the large time-delay in measuring the hardness of mixed rubber, rheological parameters were used to predict the hardness. A novel Q-based model updating strategy was proposed as a universal platform to track time-varying properties. Using a few selected support samples to update the model, the strategy could dramat- ically save the storage cost and overcome the adverse influence of low signal-to-noise ratio samples. Moreover, it could be applied to any statistical process monitoring system without drastic changes to them, which is practical for industrial practices. As examples, the Q-based strategy was integrated with three popular algorithms （partial least squares （PIE）, recursive PIE （RPLS）, and kernel PIE （KPIE）） to form novel regression ones, QPLS, QRPIE and QKPLS, respectively. The applications for predicting mixed rubber hardness on a large-scale tire plant in east China prove the theoretical considerations.展开更多
A formal methodology is proposed to reduce the amount of information displayed to remote human operators at interfaces to large-scale process control plants of a certain type. The reduction proceeds in two stages. In ...A formal methodology is proposed to reduce the amount of information displayed to remote human operators at interfaces to large-scale process control plants of a certain type. The reduction proceeds in two stages. In the first stage, minimal reduced subsets of components, which give full information about the state of the whole system, are generated by determining functional dependencies between components. This is achieved by using a temporal logic proof obligation to check whether the state of all components can be inferred from the state of components in a subset in specified situations that the human operator needs to detect, with respect to a finite state machine model of the system and other human operator behavior. Generation of reduced subsets is automated with the help of a temporal logic model checker. The second stage determines the interconnections between components to be displayed in the reduced system so that the natural overall graphical structure of the system is maintained. A formal definition of an aesthetic for the required subgraph of a graph representation of the full system, containing the reduced subset of components, is given for this purpose. The methodology is demonstrated by a case study.展开更多
In view of the lack of research on the information model of tufting carpet machine in China,an information modeling method based on Object Linking and Embedding for Process Control Unified Architecture(OPC UA)framewor...In view of the lack of research on the information model of tufting carpet machine in China,an information modeling method based on Object Linking and Embedding for Process Control Unified Architecture(OPC UA)framework was proposed to solve the problem of“information island”caused by the differentiated data interface between heterogeneous equipment and system in tufting carpet machine workshop.This paper established an information model of tufting carpet machine based on analyzing the system architecture,workshop equipment composition and information flow of the workshop,combined with the OPC UA information modeling specification.Subsequently,the OPC UA protocol is used to instantiate and map the information model,and the OPC UA server is developed.Finally,the practicability of tufting carpet machine information model under the OPC UA framework and the feasibility of realizing the information interconnection of heterogeneous devices in the tufting carpet machine digital workshop are verified.On this basis,the cloud and remote access to the underlying device data are realized.The application of this information model and information integration scheme in actual production explores and practices the application of OPC UA technology in the digital workshop of tufting carpet machine.展开更多
This paper has found out some important input factors of reverse logistics in manufacturing system throuth analysis and summary,and established four kinds of technological process control models of reverse logistics i...This paper has found out some important input factors of reverse logistics in manufacturing system throuth analysis and summary,and established four kinds of technological process control models of reverse logistics in manufacturing system according to different processing methods. These models embed each other that form a cubic control system of reverse logistics.展开更多
10炉非调质钢49MnVS3(/%:0.46~0.48C,0.30~0.40Si,0.88~0.92Mn,0.001~0.014P,0.004~0.005S,0.09~0.10V,0.19~0.22Cr)由100 t EBT DC EAF-LF-VD-260 mm×340 mm坯连铸-Φ140~150 mm材轧制流程生产。采用兑入75%铁水,EAF前期脱磷至≤0...10炉非调质钢49MnVS3(/%:0.46~0.48C,0.30~0.40Si,0.88~0.92Mn,0.001~0.014P,0.004~0.005S,0.09~0.10V,0.19~0.22Cr)由100 t EBT DC EAF-LF-VD-260 mm×340 mm坯连铸-Φ140~150 mm材轧制流程生产。采用兑入75%铁水,EAF前期脱磷至≤0.015%P,出钢前[C]为0.20%~0.30%,精炼时加150~200kg碳化硅,控制LF精炼渣碱度2.80~2.95,(CaO)/(Al_2O_3)=1.2~1.6,VD后喂1.5 m/t钙铁线,软吹时间≥15min等工艺措施,49MnVS3钢中[N]、[H]和[O]分别为130×10^(-6)~220×10^(-6),1.2×10^(-6)~1.5×10^(-6)和5×10^(-6)~11×10^(-6),成品材晶粒度≥5级,非金属夹杂物和低倍组织均≤1.5级,组织(带状≤1级)和力学性能(R_m803~883 MPa,R^(el)517~590 MPa,A 16%~21%,A^(KU)39~99 J)均满足标准要求。展开更多
电弧炉采用低钛铁水、合金和造渣材料,偏心炉底出钢,出钢合金化,LF精炼时,用Si、Al复合脱氧和碱度3～5的CaO-MgO-Si0_2-Al_2O_3渣系,30 Pa VD处理,以及保护浇铸等工艺措施,Φ150 mm锻造棒材的分析结果为GGr15轴承钢中的氧含量为4.5×...电弧炉采用低钛铁水、合金和造渣材料,偏心炉底出钢,出钢合金化,LF精炼时,用Si、Al复合脱氧和碱度3～5的CaO-MgO-Si0_2-Al_2O_3渣系,30 Pa VD处理,以及保护浇铸等工艺措施,Φ150 mm锻造棒材的分析结果为GGr15轴承钢中的氧含量为4.5×10^(-6)～9×10^(-6),Ti含量为0.001 0%～0.001 5%,钢中有少量5μm TiN夹杂,达到特钢优质低钛轴承钢的质量要求。展开更多
莱钢特钢厂通过50 t EAF冶炼终点控制技术(TPC)的应用,稳定了电弧炉钢水终点成分和温度,减轻或消除了钢水过氧化,稳定合金回收率,为LF提供了符合要求的钢水。通过LF前期、中期和后期的模式化操作,实现钢水的窄成分控制(NCC),使C控制偏差...莱钢特钢厂通过50 t EAF冶炼终点控制技术(TPC)的应用,稳定了电弧炉钢水终点成分和温度,减轻或消除了钢水过氧化,稳定合金回收率,为LF提供了符合要求的钢水。通过LF前期、中期和后期的模式化操作,实现钢水的窄成分控制(NCC),使C控制偏差±0.01％炉数达到80％,Mn、Cr控制偏差±0.02％和Si控制偏差±0.05％达91％;齿轮钢S≤0.015％、P≤0.025％、氧含量≤20×10^(-6)分别达到96％、97％和95％;轴承钢S≤0.005％、P≤0.020％、氧含量≤12×10^(-6)分别达到95％、97％和100％。展开更多
中碳硫系易切削钢SAE1144(/%:0.42~0.47C,0.15~0.30Si,1.45~1.65Mn,0.24~0.30S,≤0.025P)采用100 t DC EAF-LF-VD-280 mm×320 mm坯连铸工艺流程生产。通过控制出钢钢包温度≥1000℃,出钢时加入200 kg硅铁,钢包底吹氩搅拌;LF采用专...中碳硫系易切削钢SAE1144(/%:0.42~0.47C,0.15~0.30Si,1.45~1.65Mn,0.24~0.30S,≤0.025P)采用100 t DC EAF-LF-VD-280 mm×320 mm坯连铸工艺流程生产。通过控制出钢钢包温度≥1000℃,出钢时加入200 kg硅铁,钢包底吹氩搅拌;LF采用专用精炼渣系(/%:45~55CaO,15~25Al_2O_3,15~25SiO_2),喂硫线,≥15 min VD处理后控制钢水过热度20~35℃,二冷比水量0.18 L/kg,拉速0.45~0.55 m/min等工艺措施,可稳定控制钢水硫含量和钢水的可浇性,铸坯中心疏松和缩孔级别≤1.5;[O]为14×10^(-6)~15×10^(-6),[H]1.3×10^(-6)~1.5×10^(-6),非金属夹杂物满足质量要求。展开更多
基金Supported by National Natural Science Foundation of China (No. 70931004)
文摘Traditional studies on integrated statistical process control and engineering process control (SPC-EPC) are based on linear autoregressive integrated moving average (ARIMA) time series models to describe the dynamic noise of the system.However,linear models sometimes are unable to model complex nonlinear autocorrelation.To solve this problem,this paper presents an integrated SPC-EPC method based on smooth transition autoregressive (STAR) time series model,and builds a minimum mean squared error (MMSE) controller as well as an integrated SPC-EPC control system.The performance of this method for checking the trend and sustained shift is analyzed.The simulation results indicate that this integrated SPC-EPC control method based on STAR model is effective in controlling complex nonlinear systems.
基金Item Sponsored by National Natural Science Foundation of China(50074026)
文摘A hybrid neural network model,in which RH process(theoretical)model is combined organically with neural network(NN)and case-base reasoning(CBR),was established.The CBR method was used to select the operation mode and the RH operational guide parameters for different steel grades according to the initial conditions of molten steel,and a three-layer BP neural network was adopted to deal with nonlinear factors for improving and compensating the limitations of technological model for RH process control and end-point prediction.It was verified that the hybrid neural network is effective for improving the precision and calculation efficiency of the model.
文摘Design of general multivariable process controllers is an attractive and practical alternative to optimizing design by evolutionary algorithms (EAs) since it can be formulated as an optimization problem. A closed-loop particle swarm optimization (CLPSO) algorithm is proposed by mapping PSO elements into the closed-loop system based on control theories. At each time step, a proportional integral (PI) controller is used to calculate an updated inertia weight for each particle in swarms from its last fitness. With this modification, limitations caused by a uniform inertia weight for the whole population are avoided, and the particles have enough diversity. After the effectiveness, efficiency and robustness are tested by benchmark functions, CLPSO is applied to design a multivariable proportional-integral-derivative (PID) controller for a solvent dehydration tower in a chemical plant and has improved its performances.
文摘To overcome the large time-delay in measuring the hardness of mixed rubber, rheological parameters were used to predict the hardness. A novel Q-based model updating strategy was proposed as a universal platform to track time-varying properties. Using a few selected support samples to update the model, the strategy could dramat- ically save the storage cost and overcome the adverse influence of low signal-to-noise ratio samples. Moreover, it could be applied to any statistical process monitoring system without drastic changes to them, which is practical for industrial practices. As examples, the Q-based strategy was integrated with three popular algorithms （partial least squares （PIE）, recursive PIE （RPLS）, and kernel PIE （KPIE）） to form novel regression ones, QPLS, QRPIE and QKPLS, respectively. The applications for predicting mixed rubber hardness on a large-scale tire plant in east China prove the theoretical considerations.
基金This work was supported by the Royal Society in the UK (No.2004R1)An initial study appeared in Proceedings of IEEE International Conference on Systems,Man and Cybernetics,the Hague,Netherlands,pp.124-129,2004.
文摘A formal methodology is proposed to reduce the amount of information displayed to remote human operators at interfaces to large-scale process control plants of a certain type. The reduction proceeds in two stages. In the first stage, minimal reduced subsets of components, which give full information about the state of the whole system, are generated by determining functional dependencies between components. This is achieved by using a temporal logic proof obligation to check whether the state of all components can be inferred from the state of components in a subset in specified situations that the human operator needs to detect, with respect to a finite state machine model of the system and other human operator behavior. Generation of reduced subsets is automated with the help of a temporal logic model checker. The second stage determines the interconnections between components to be displayed in the reduced system so that the natural overall graphical structure of the system is maintained. A formal definition of an aesthetic for the required subgraph of a graph representation of the full system, containing the reduced subset of components, is given for this purpose. The methodology is demonstrated by a case study.
文摘In view of the lack of research on the information model of tufting carpet machine in China,an information modeling method based on Object Linking and Embedding for Process Control Unified Architecture(OPC UA)framework was proposed to solve the problem of“information island”caused by the differentiated data interface between heterogeneous equipment and system in tufting carpet machine workshop.This paper established an information model of tufting carpet machine based on analyzing the system architecture,workshop equipment composition and information flow of the workshop,combined with the OPC UA information modeling specification.Subsequently,the OPC UA protocol is used to instantiate and map the information model,and the OPC UA server is developed.Finally,the practicability of tufting carpet machine information model under the OPC UA framework and the feasibility of realizing the information interconnection of heterogeneous devices in the tufting carpet machine digital workshop are verified.On this basis,the cloud and remote access to the underlying device data are realized.The application of this information model and information integration scheme in actual production explores and practices the application of OPC UA technology in the digital workshop of tufting carpet machine.
文摘This paper has found out some important input factors of reverse logistics in manufacturing system throuth analysis and summary,and established four kinds of technological process control models of reverse logistics in manufacturing system according to different processing methods. These models embed each other that form a cubic control system of reverse logistics.
文摘莱钢特钢厂通过50 t EAF冶炼终点控制技术(TPC)的应用,稳定了电弧炉钢水终点成分和温度,减轻或消除了钢水过氧化,稳定合金回收率,为LF提供了符合要求的钢水。通过LF前期、中期和后期的模式化操作,实现钢水的窄成分控制(NCC),使C控制偏差±0.01％炉数达到80％,Mn、Cr控制偏差±0.02％和Si控制偏差±0.05％达91％;齿轮钢S≤0.015％、P≤0.025％、氧含量≤20×10^(-6)分别达到96％、97％和95％;轴承钢S≤0.005％、P≤0.020％、氧含量≤12×10^(-6)分别达到95％、97％和100％。
文摘中碳硫系易切削钢SAE1144(/%:0.42~0.47C,0.15~0.30Si,1.45~1.65Mn,0.24~0.30S,≤0.025P)采用100 t DC EAF-LF-VD-280 mm×320 mm坯连铸工艺流程生产。通过控制出钢钢包温度≥1000℃,出钢时加入200 kg硅铁,钢包底吹氩搅拌;LF采用专用精炼渣系(/%:45~55CaO,15~25Al_2O_3,15~25SiO_2),喂硫线,≥15 min VD处理后控制钢水过热度20~35℃,二冷比水量0.18 L/kg,拉速0.45~0.55 m/min等工艺措施,可稳定控制钢水硫含量和钢水的可浇性,铸坯中心疏松和缩孔级别≤1.5;[O]为14×10^(-6)~15×10^(-6),[H]1.3×10^(-6)~1.5×10^(-6),非金属夹杂物满足质量要求。
