摘要
通过全面、深入的数据分析,发现基于云计算的食品大数据分析平台的设计有助于加强食品安全监管、优化生产流程、分析市场需求等。平台依托云计算的弹性资源和大数据技术,可实现多源异构数据的实时采集、高效存储、深入分析及可视化展示,为食品行业提供全方位的数据支持。本研究旨在通过全面、深入的数据分析,提升食品行业的整体运营效率和竞争力。
Through comprehensive and in-depth data analysis,it is found that the design of the cloud-based food big data analysis platform is helpful to strengthen food safety supervision,optimize production processes,and analyze market demand.Relying on the elastic resources and big data technology of cloud computing,the platform can realize real-time collection,efficient storage,in-depth analysis and visual display of multi-source heterogeneous data,providing all-round data support for the food industry.This study aims to improve the overall operational efficiency and competitiveness of the food industry through comprehensive and in-depth data analysis.
作者
董波
DONG Bo(Sichuan Institute of Industrial Technology,Deyang 618500,China)
出处
《食品安全导刊》
2024年第29期155-157,共3页
China Food Safety Magazine
关键词
云计算
大数据
食品分析
平台设计
食品安全
生产优化
cloud computing
big data
food analysis
platform design
food safety
production optimization
