Based on the principle of life cycle assessment, CO2 and SO2 emission of Imperial Smelting Process in a certain zinc-lead smelter was analyzed by life cycle inventory method. According to the system expansion and subs...Based on the principle of life cycle assessment, CO2 and SO2 emission of Imperial Smelting Process in a certain zinc-lead smelter was analyzed by life cycle inventory method. According to the system expansion and substitution method, the environmental impacts of co-products were allocated among the main products of zinc, lead and sulfuric acid. The related impacts were assessed by use of Global Warming Potential （GWP） and Acidification Potential （ACP）. The results show that the GWP index from 1998 to 2000 is 11.53, 11.65, 10.93 tCO2-eq/tZn respectively, the ACP index decreases from 14.88 kgSO2-eq/tZn in 1998 to 10.99 kgSO2-eq/tZn in 2000. Power and electricity generation, followed by smelting and zinc distillation, are mainly responsible for GWP. Sintering individually affects ACP. Reduction in greenhouse gas emissions of the ISP may come from energy conservation measures rather than from technological developments. And recycling more secondary Pb and Zn materials effectively treated by ISP, and reducing the amount of primary metal are the main ways to put SO2 emission under control.展开更多
In order to know the ventilating capacity of imperial smelt furnace(ISF), and increase the output of plumbum, an intelligent modeling method based on gray theory and artificial neural networks(ANN) is proposed, in whi...In order to know the ventilating capacity of imperial smelt furnace(ISF), and increase the output of plumbum, an intelligent modeling method based on gray theory and artificial neural networks(ANN) is proposed, in which the weight values in the integrated model can be adjusted automatically. An intelligent predictive model of the ventilating capacity of the ISF is established and analyzed by the method. The simulation results and industrial applications demonstrate that the predictive model is close to the real plant, the relative predictive error is 0.72%, which is 50% less than the single model, leading to a notable increase of the output of plumbum.展开更多
故宫博物院成立于1925年,成立伊始,故宫博物院的老一辈同仁们组织刊印了众多出版物,其内容不仅包括古代器物、古代典籍及明清档案等著作,还为方便中外人士游览故宫刊行了诸多导览类的书籍,既有中文版的导览,还有英文版和日文版的导览,...故宫博物院成立于1925年,成立伊始,故宫博物院的老一辈同仁们组织刊印了众多出版物,其内容不仅包括古代器物、古代典籍及明清档案等著作,还为方便中外人士游览故宫刊行了诸多导览类的书籍,既有中文版的导览,还有英文版和日文版的导览,满足了中外各界人士的需求。在这些导览书籍中,中文版的书籍名为《故宫导游》(图1)。英文版的导览书籍名为《GUIDE TO THE IMPERIAL PALACE》,译成中文名为《皇家宫殿的导览》(图2)。这里所说的“IMPERIAL PALACE”,指的便是明清的皇宫--紫禁城。展开更多
以蛾微杆菌(Microbacterium imperiale)Mebl-012菌株为出发菌株,利用常压室温等离子体(atmospheric and room temperature plasma,ARTP)和紫外复合诱变,筛选麦芽三糖生成酶高酶活菌株。将不同ARTP致死率下的菌悬液进行了混合,均匀涂布...以蛾微杆菌(Microbacterium imperiale)Mebl-012菌株为出发菌株,利用常压室温等离子体(atmospheric and room temperature plasma,ARTP)和紫外复合诱变,筛选麦芽三糖生成酶高酶活菌株。将不同ARTP致死率下的菌悬液进行了混合,均匀涂布筛选平板进行初筛,之后用摇瓶发酵进行复筛,最终筛选出了一株麦芽三糖生成酶高产突变菌株Microbacterium imperiale Metp-57,酶活达到241.32 U/m L,较出发菌株Mebl-012(产量为116.43 U/m L)提高了107.26%。以ARTP诱变过程中筛选出的高产菌株Metp-57为出发菌株,进行紫外诱变处理,得到高产突变株Metu-24,其麦芽三糖生成酶酶活可达到408.41 U/m L,较原始菌株Mebl-012提高了250.77%,且遗传性状稳定。突变株Metu-24较原始菌株Mebl-012的生长速率有明显提高。以本实验麦芽三糖生成酶水解淀粉,制备的麦芽三糖糖浆中麦芽三糖占主要成分,含量达到46.7%。展开更多
2014年9月22-23日,由中国科学院兰州化学物理研究所固体润滑国家重点实验室和英国帝国理工大学（Imperial College London）摩擦学研究组联合举办的摩擦学前沿领域（Frontier in Tribology）双边研讨会在兰州召开。来自英国帝国理工大学...2014年9月22-23日,由中国科学院兰州化学物理研究所固体润滑国家重点实验室和英国帝国理工大学（Imperial College London）摩擦学研究组联合举办的摩擦学前沿领域（Frontier in Tribology）双边研讨会在兰州召开。来自英国帝国理工大学的6位知名专家学者、国内的特邀嘉宾以及兰州化物所固体润滑国家重点实验室的学术骨干、研究生等参加了会议。展开更多
An on-line forecasting model based on self-tuning support vectors regression for zinc output was put forward to maximize zinc output by adjusting operational parameters in the process of imperial smelting furnace. In ...An on-line forecasting model based on self-tuning support vectors regression for zinc output was put forward to maximize zinc output by adjusting operational parameters in the process of imperial smelting furnace. In this model, the mathematical model of support vector regression was converted into the same format as support vector machine for classification. Then a simplified sequential minimal optimization for classification was applied to train the regression coefficient vector α- α* and threshold b. Sequentially penalty parameter C was tuned dynamically through forecasting result during the training process. Finally, an on-line forecasting algorithm for zinc output was proposed. The simulation result shows that in spite of a relatively small industrial data set, the effective error is less than 10% with a remarkable performance of real time. The model was applied to the optimization operation and fault diagnosis system for imperial smelting furnace.展开更多
文摘Based on the principle of life cycle assessment, CO2 and SO2 emission of Imperial Smelting Process in a certain zinc-lead smelter was analyzed by life cycle inventory method. According to the system expansion and substitution method, the environmental impacts of co-products were allocated among the main products of zinc, lead and sulfuric acid. The related impacts were assessed by use of Global Warming Potential （GWP） and Acidification Potential （ACP）. The results show that the GWP index from 1998 to 2000 is 11.53, 11.65, 10.93 tCO2-eq/tZn respectively, the ACP index decreases from 14.88 kgSO2-eq/tZn in 1998 to 10.99 kgSO2-eq/tZn in 2000. Power and electricity generation, followed by smelting and zinc distillation, are mainly responsible for GWP. Sintering individually affects ACP. Reduction in greenhouse gas emissions of the ISP may come from energy conservation measures rather than from technological developments. And recycling more secondary Pb and Zn materials effectively treated by ISP, and reducing the amount of primary metal are the main ways to put SO2 emission under control.
文摘In order to know the ventilating capacity of imperial smelt furnace(ISF), and increase the output of plumbum, an intelligent modeling method based on gray theory and artificial neural networks(ANN) is proposed, in which the weight values in the integrated model can be adjusted automatically. An intelligent predictive model of the ventilating capacity of the ISF is established and analyzed by the method. The simulation results and industrial applications demonstrate that the predictive model is close to the real plant, the relative predictive error is 0.72%, which is 50% less than the single model, leading to a notable increase of the output of plumbum.
文摘故宫博物院成立于1925年,成立伊始,故宫博物院的老一辈同仁们组织刊印了众多出版物,其内容不仅包括古代器物、古代典籍及明清档案等著作,还为方便中外人士游览故宫刊行了诸多导览类的书籍,既有中文版的导览,还有英文版和日文版的导览,满足了中外各界人士的需求。在这些导览书籍中,中文版的书籍名为《故宫导游》(图1)。英文版的导览书籍名为《GUIDE TO THE IMPERIAL PALACE》,译成中文名为《皇家宫殿的导览》(图2)。这里所说的“IMPERIAL PALACE”,指的便是明清的皇宫--紫禁城。
文摘2014年9月22-23日,由中国科学院兰州化学物理研究所固体润滑国家重点实验室和英国帝国理工大学（Imperial College London）摩擦学研究组联合举办的摩擦学前沿领域（Frontier in Tribology）双边研讨会在兰州召开。来自英国帝国理工大学的6位知名专家学者、国内的特邀嘉宾以及兰州化物所固体润滑国家重点实验室的学术骨干、研究生等参加了会议。
文摘An on-line forecasting model based on self-tuning support vectors regression for zinc output was put forward to maximize zinc output by adjusting operational parameters in the process of imperial smelting furnace. In this model, the mathematical model of support vector regression was converted into the same format as support vector machine for classification. Then a simplified sequential minimal optimization for classification was applied to train the regression coefficient vector α- α* and threshold b. Sequentially penalty parameter C was tuned dynamically through forecasting result during the training process. Finally, an on-line forecasting algorithm for zinc output was proposed. The simulation result shows that in spite of a relatively small industrial data set, the effective error is less than 10% with a remarkable performance of real time. The model was applied to the optimization operation and fault diagnosis system for imperial smelting furnace.
