With the development of the production scale and the increasing of the process technologies and facilities,product quality and the requirement of water supply continuously put forward new requirements to water treatme...With the development of the production scale and the increasing of the process technologies and facilities,product quality and the requirement of water supply continuously put forward new requirements to water treatment technology.The practice of the water saving technology should ensure the safe of water using and the innovation of technique data.Especially the stabilization of water quality should also meet the production at full capacity,reduce equipment failure rate and maintain the sustainable development under the condition of the minimal resource consumption.This article describes the practice of Baosteel saving technology,water-saving ideas from the system to start,according to Baosteel raw water intake requirements and process water and drainage characteristics,water and salt water tidal according to changes in the Yangtze River and the Yangtze River upstream and downstream trends in water discharge on water quality factors,established the electrical conductivity,chloride ion indicators for the control of the Yangtze River water,the implementation of'avoid salt build light'water at the same time,combined with the actual situation of water pollution in the Yangtze River,the use of force coefficient correlation theory,the implementation of'avoid taking clear pollution'to ensure the quality of raw water intake.System and cascade utilization of water,process water,based on whole plant water balance testing,analysis,technical parameters of the system and processes the user running the pressure balance pipe network,and implemented a stabilization system to adjust water pressure,reducing the water supply network systemwater loss;application of electrochemical principles,the implementation of the protection of underground pipes Baosteel,implemented a water use,steps to use,the operating mode of water supply in series to increase water reuse,reduce wastewater discharge system.Water quality stability and water-saving in the process;carry out water quality stability technology in the different complicated processes of the steel industry;apply the environmental protection and water quality,sterilization,non-phosphorus and low phosphorus technologies which are suitable for high concentration of circulating water.By these technologies,we achieved the water-saving in the process in different seasons and solved the technical problems affecting production such as equipment corrosion,scaling and the formation of the water quality proprietary technology under the conditions of high heat load production as well.The use of water ecological conservation and biological treatment technology:the implementation of the reservoir to the ecological technology is characterized by food chain and wetland environmental technology characterized by plants chain.Reservoir ecological management techniques in the use of natural conditions,wind direction,temperature,light and fish biomass in the reservoir water level regulation of balance and combination of organic,control and resolve the reservoirs in spring and summer algae problems and water quality changes rot of the'fresh'operating problems.The artificial wetland technology develops a new way for metallurgical plants'wastewater treatment.All the measures by the implementation of water to create the conditions for the system to achieve the water target of constant innovation,reaching the advanced level of iron and steel enterprises.展开更多
To solve the problem of information fusion from multiple sources in innovation alliances, an information fusion model based on the Bayesian network is presented. The multi-source information fusion process of innovati...To solve the problem of information fusion from multiple sources in innovation alliances, an information fusion model based on the Bayesian network is presented. The multi-source information fusion process of innovation alliances was classified into three layers, namely, the information perception layer, the feature clustering layer,and the decision fusion layer. The agencies in the alliance were defined as sensors through which information is perceived and obtained, and the features were clustered. Finally, various types of information were fused by the innovation alliance based on the fusion algorithm to achieve complete and comprehensive information. The model was applied to a study on economic information prediction, where the accuracy of the fusion results was higher than that from a single source and the errors obtained were also smaller with the MPE less than 3%, which demonstrates the proposed fusion method is more effective and reasonable. This study provides a reasonable basis for decision-making of innovation alliances.展开更多
Data-driven material innovation has the potential to revolutionize the traditional Edisonian process and significantly shorten development cycles.However,the scarcity of data in materials science and the poor interpre...Data-driven material innovation has the potential to revolutionize the traditional Edisonian process and significantly shorten development cycles.However,the scarcity of data in materials science and the poor interpretability of machine learning pose serious obstacles to the adoption of this new paradigm.Here,we propose a pipeline that integrates data production,virtual screening,and theoretical innovation using high-throughput all-atom molecular dynamics(MD)as a data flywheel.Using this pipeline,we explored high-performance viscosity index improver polymers and constructed a dataset of 1166 entries for viscosity index improvers(VII)started fromonly five types of polymers.Under multiobjective constraints,366 potential high-viscosity-temperature performance polymers were identified,and six representative polymers were validated through direct MD simulations.Starting from high-dimensional physical features,we conducted an unbiased systematic analysis of the quantitative structure-property relationships for polymers VII,providing an explicit mathematical model with promising application in VII industry.This work demonstrates the advanced capabilities and reliability of the pipeline proposed here in initiating material innovation cycles in data-scarce fields,and the establishment of the VII dataset and models will serve as a critical starting point for the datadriven design of high viscosity-temperature performance polymers.展开更多
文摘With the development of the production scale and the increasing of the process technologies and facilities,product quality and the requirement of water supply continuously put forward new requirements to water treatment technology.The practice of the water saving technology should ensure the safe of water using and the innovation of technique data.Especially the stabilization of water quality should also meet the production at full capacity,reduce equipment failure rate and maintain the sustainable development under the condition of the minimal resource consumption.This article describes the practice of Baosteel saving technology,water-saving ideas from the system to start,according to Baosteel raw water intake requirements and process water and drainage characteristics,water and salt water tidal according to changes in the Yangtze River and the Yangtze River upstream and downstream trends in water discharge on water quality factors,established the electrical conductivity,chloride ion indicators for the control of the Yangtze River water,the implementation of'avoid salt build light'water at the same time,combined with the actual situation of water pollution in the Yangtze River,the use of force coefficient correlation theory,the implementation of'avoid taking clear pollution'to ensure the quality of raw water intake.System and cascade utilization of water,process water,based on whole plant water balance testing,analysis,technical parameters of the system and processes the user running the pressure balance pipe network,and implemented a stabilization system to adjust water pressure,reducing the water supply network systemwater loss;application of electrochemical principles,the implementation of the protection of underground pipes Baosteel,implemented a water use,steps to use,the operating mode of water supply in series to increase water reuse,reduce wastewater discharge system.Water quality stability and water-saving in the process;carry out water quality stability technology in the different complicated processes of the steel industry;apply the environmental protection and water quality,sterilization,non-phosphorus and low phosphorus technologies which are suitable for high concentration of circulating water.By these technologies,we achieved the water-saving in the process in different seasons and solved the technical problems affecting production such as equipment corrosion,scaling and the formation of the water quality proprietary technology under the conditions of high heat load production as well.The use of water ecological conservation and biological treatment technology:the implementation of the reservoir to the ecological technology is characterized by food chain and wetland environmental technology characterized by plants chain.Reservoir ecological management techniques in the use of natural conditions,wind direction,temperature,light and fish biomass in the reservoir water level regulation of balance and combination of organic,control and resolve the reservoirs in spring and summer algae problems and water quality changes rot of the'fresh'operating problems.The artificial wetland technology develops a new way for metallurgical plants'wastewater treatment.All the measures by the implementation of water to create the conditions for the system to achieve the water target of constant innovation,reaching the advanced level of iron and steel enterprises.
基金supported by the National Natural Science Foundation of China(Nos.71472053,71429001,and91646105)
文摘To solve the problem of information fusion from multiple sources in innovation alliances, an information fusion model based on the Bayesian network is presented. The multi-source information fusion process of innovation alliances was classified into three layers, namely, the information perception layer, the feature clustering layer,and the decision fusion layer. The agencies in the alliance were defined as sensors through which information is perceived and obtained, and the features were clustered. Finally, various types of information were fused by the innovation alliance based on the fusion algorithm to achieve complete and comprehensive information. The model was applied to a study on economic information prediction, where the accuracy of the fusion results was higher than that from a single source and the errors obtained were also smaller with the MPE less than 3%, which demonstrates the proposed fusion method is more effective and reasonable. This study provides a reasonable basis for decision-making of innovation alliances.
基金funded by the Strategic Priority Research Program of the Chinese Academy of Sciences,Grant no.XDB 0470201.
文摘Data-driven material innovation has the potential to revolutionize the traditional Edisonian process and significantly shorten development cycles.However,the scarcity of data in materials science and the poor interpretability of machine learning pose serious obstacles to the adoption of this new paradigm.Here,we propose a pipeline that integrates data production,virtual screening,and theoretical innovation using high-throughput all-atom molecular dynamics(MD)as a data flywheel.Using this pipeline,we explored high-performance viscosity index improver polymers and constructed a dataset of 1166 entries for viscosity index improvers(VII)started fromonly five types of polymers.Under multiobjective constraints,366 potential high-viscosity-temperature performance polymers were identified,and six representative polymers were validated through direct MD simulations.Starting from high-dimensional physical features,we conducted an unbiased systematic analysis of the quantitative structure-property relationships for polymers VII,providing an explicit mathematical model with promising application in VII industry.This work demonstrates the advanced capabilities and reliability of the pipeline proposed here in initiating material innovation cycles in data-scarce fields,and the establishment of the VII dataset and models will serve as a critical starting point for the datadriven design of high viscosity-temperature performance polymers.