应用驱动的大数据与人工智能融合平台建设

Application-Driven Big Data and Artificial Intelligence Integration Platform Construction

【目的】介绍了面向产业需求的大数据与人工智能融合平台建设思路,形成了推动传统产业智能化、智能科技产业化的发展实施方案,为计算创新驱动提供参考。【方法】基于面向行业应用场景的数据特征理解和融合平台需求分析,阐述了基于应用驱动的超级计算与大数据、云计算、人工智能、物联网融合的平台层次结构,在基础融合环境、数据整合框架、业务系统几个方面系统介绍了该融合平台的体系架构和实现。【结果】基于该平台,实现了在装备制造、网联汽车、医疗健康等领域的典型应用,具备较好的适用性。【局限】作为公共开源开放平台提供服务,机构公信力、数据安全性是其下一步需要解决的重要问题。【结论】应用驱动的大数据与人工智能融合平台可作为社会开放、政府可控的智能产业科学发展生态的重要组成部分,进一步解决我国智能产业领域创新能力和创新支撑平台不足的现实问题。

[Objective]In order to provide references for computational innovations,an industrial needs driven integration platform for big data and artificial intelligence analysis and application is proposed to prom ote the traditional industry intelligence and intelligent technology industrialization.[M ethods]Based on the integration o f both data feature understanding and platform requirements in industry-oriented application scenarios,the application-driven platform hierarchy in supercomputer center is designed in a ftised architecture consisting of supercomputing,big data,cloud computing,artificial intelligence and internet of things,which contains implications on physical facilities,system software and management system.In the supercomputer center,it mainly integrates service-related hardware facilities for big data,supercomputing and cloud computing to realize data sharing,high-performance processing,and data security control.By eliminating the difference between various data sources,the platform provides an unified standard data access interface for upper-layer applications,which promotes standardization of big data processing in related industries for resource and data sharing.As an important field of big data applications,the high-efflciency big data application platform for industrials combines with the industrial cloud platform to realize data collection,transmission,collaboration and application by integrating the physical device,virtual network and big data analysis methods.The characteristics of industrial-based big data and artificial intelligence require innovative applications that support the production tasks,such as design,production,sales,operation and maintenance.(Results)Based on the platform,it has achieved typical applications in industrial fields such as equipment manufacturing,networked vehicles,medical health,etc.,showing good applicability.In manufacturing,the platform is a tool for product supplier quality management control,carrying out abnormal inspection and prediction of parts and components,and achieving management ability to control the entire product chain.In networked vehicle,by collecting vehicle driving data and using deep learning modeling,it is possible to analyze the safety of autonomous driving and driving behavior.In disease screening,big data and artificial intelligence analyses for radiological imaging,pathology images,and electronic medical records can help doctors complete analyses of repetitive tasks and complex tasks.[Limitations]As a public open platform to provide services,institutional credibility and data security are important issue to be solved in the next step.[Conclusions]Applicationdriven big data and artificial intelligence integration platform acts as an important part of social-open and governmentcontrollable intelligent industry science development ecology,which further solves the practical problems that insufficient innovation ability in China's intelligent industry.