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作 者:谢正旺 赵秀粉[1] 殷国富[1] XIE Zhengwang;ZHAO Xiufeng;YIN Guofu(School of Manufacturing Science and Engineering,Sichuan University,Chengdu 610065)
机构地区:[1]四川大学制造科学与工程学院
出 处:《中国科技资源导刊》2019年第6期29-35,共7页China Science & Technology Resources Review
基 金:国家重点研发计划“现代服务业共性关键技术研发及应用示范”专项“成渝城市群综合科技服务平台研发与应用示范”课题二“综合科技服务资源集成应用关键技术研究”(2017YFB1401702)
摘 要:针对科技资源服务协同过程中海量数据的快速分析、安全存储、互联互通等方面的技术瓶颈,设计搭建了基于“云+边”计算模式的科技资源服务协同平台,并对平台中服务协同策略和资源共享、安全、隐私方面进行阐明与分析。通过对汽车、物联网、集成电路和工程机械等行业的实例验证表明:该平台对于实现区域内科技资源的集成与互联互通,提升跨区域、跨行业的协同科技服务能力,助推产业发展和转型升级具有一定的借鉴意义。The existing problems in the scientific and technical service industry in the central and western China are distribution of resources,poor heterogeneous stepwise collaboration,low capability and e fficiency of integrated service,etc.For the automobile,internet of things,integrated circuit,engineering machinery industries,scientific and technical resources service has technical bottlenecks in the collaborative process,such as rapid analysis of massive data,secure storage,connectivity,etc.This paper designed the distributed scientific and technical resources service collaborative platform based on cloud computing and edge computing mode.The service collaboration strategy and resource sharing,security,privacy in the scientific and technical service cloud platform are expounded and analyzed.The example given in this paper showed that the platform is of great significance for realizing the integration and connectivity of scientific and technical resources in the region,improving the cross-regional and cross-industrial collaborative scientific and technical service capability,and boosting industrial development,transformation and upgrading.
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