According to the relationship between the information systems of provincial management industrial units of state grid, through the construction of data management visualization platform, unified data standards and dat...According to the relationship between the information systems of provincial management industrial units of state grid, through the construction of data management visualization platform, unified data standards and data structure, standardized data generation and use process, improved enterprise system data quality level and data security level, ensured that all kinds of data were accurate, true, timely and standardized, better met the requirements of enterprise statistical analysis, capacity building, industry classification and business upgrading, and improved data utilization ability and data value.展开更多
At present,with the development of medical technology,the amount of medical data is increasing,in face of the shortcomings like the complexity of information,lack of structure,flexible changes,as well as the lack of s...At present,with the development of medical technology,the amount of medical data is increasing,in face of the shortcomings like the complexity of information,lack of structure,flexible changes,as well as the lack of scientific medical data management platforms at home and abroad,this paper presents a child epilepsy Data platform.This platform can extract quantitative data of structural epilepsy from the description of the complex and redundant text,which makes the data analysis and data mining more convenient and provides the basis for the future intelligent diagnosis,prediction and intelligent prognosis of epilepsy.At the same time,this paper introduces the platform database,server language and the construction of back-end and front-end of platform.The paper also introduces the technology and method of data-oriented management platform from requirement analysis,platform design to implementation stage.Through continuous testing and communication with doctors,developers finally established a data-driven system that is efficient in storing,managing and transferring and exporting medical data,which is also expandable,robust and stable.展开更多
面向作物表型组大数据获取解析、作物种质资源表型鉴定等亟需高效率、智能化和低成本技术、装备及系统的问题,在系统梳理分析国内外农作物高通量表型平台相关技术产品研究现状的基础上,通过组织多学科的协同技术攻关,突破了作物表型组...面向作物表型组大数据获取解析、作物种质资源表型鉴定等亟需高效率、智能化和低成本技术、装备及系统的问题,在系统梳理分析国内外农作物高通量表型平台相关技术产品研究现状的基础上,通过组织多学科的协同技术攻关,突破了作物表型组大数据高通量获取和智能化解析中的关键技术难题,设计了具有自主知识产权的轻小敏捷型多传感器阵列、通用化成像单元和适用于多生境的固定式、移动式高通量表型平台装备,以及配套算法和软件平台,构建了农作物表型组大数据工厂成套技术装备体系。该体系由大田和设施作物高通量自主作业表型平台、室内器官和显微表型平台、大田和设施环境自动化种植管控设备、作物模型系统、数字孪生智慧管控平台和大数据计算服务中心等构成,可实现多生境、自动化、高通量、高效率、高精度的多源作物表型-环境数据协同采集,涵盖农作物群体、个体、器官和显微多重尺度,能够重建农林作物的三维形态结构并精准解析株型、产品、品质、抗性等表型组指标,是发展数字育种和智慧栽培的新一代信息化基础设施。农作物表型组大数据工厂技术装备体系创新了作物表型组大数据的产生、处理和服务模式,可为作物表型组理论技术的发展、基于AI for Science的平台化科研和工厂化的作物种质资源表型鉴定等提供体系化的技术装备支撑。展开更多
文摘According to the relationship between the information systems of provincial management industrial units of state grid, through the construction of data management visualization platform, unified data standards and data structure, standardized data generation and use process, improved enterprise system data quality level and data security level, ensured that all kinds of data were accurate, true, timely and standardized, better met the requirements of enterprise statistical analysis, capacity building, industry classification and business upgrading, and improved data utilization ability and data value.
文摘At present,with the development of medical technology,the amount of medical data is increasing,in face of the shortcomings like the complexity of information,lack of structure,flexible changes,as well as the lack of scientific medical data management platforms at home and abroad,this paper presents a child epilepsy Data platform.This platform can extract quantitative data of structural epilepsy from the description of the complex and redundant text,which makes the data analysis and data mining more convenient and provides the basis for the future intelligent diagnosis,prediction and intelligent prognosis of epilepsy.At the same time,this paper introduces the platform database,server language and the construction of back-end and front-end of platform.The paper also introduces the technology and method of data-oriented management platform from requirement analysis,platform design to implementation stage.Through continuous testing and communication with doctors,developers finally established a data-driven system that is efficient in storing,managing and transferring and exporting medical data,which is also expandable,robust and stable.
文摘面向作物表型组大数据获取解析、作物种质资源表型鉴定等亟需高效率、智能化和低成本技术、装备及系统的问题,在系统梳理分析国内外农作物高通量表型平台相关技术产品研究现状的基础上,通过组织多学科的协同技术攻关,突破了作物表型组大数据高通量获取和智能化解析中的关键技术难题,设计了具有自主知识产权的轻小敏捷型多传感器阵列、通用化成像单元和适用于多生境的固定式、移动式高通量表型平台装备,以及配套算法和软件平台,构建了农作物表型组大数据工厂成套技术装备体系。该体系由大田和设施作物高通量自主作业表型平台、室内器官和显微表型平台、大田和设施环境自动化种植管控设备、作物模型系统、数字孪生智慧管控平台和大数据计算服务中心等构成,可实现多生境、自动化、高通量、高效率、高精度的多源作物表型-环境数据协同采集,涵盖农作物群体、个体、器官和显微多重尺度,能够重建农林作物的三维形态结构并精准解析株型、产品、品质、抗性等表型组指标,是发展数字育种和智慧栽培的新一代信息化基础设施。农作物表型组大数据工厂技术装备体系创新了作物表型组大数据的产生、处理和服务模式,可为作物表型组理论技术的发展、基于AI for Science的平台化科研和工厂化的作物种质资源表型鉴定等提供体系化的技术装备支撑。
