基于企业画像的水泥产业大数据平台设计与实现

Design and Implementation of Cement Industry Big Data Platform Based on Enterprise Portrait

基于水泥产业发展需求、行业特点和发展中产生的海量数据,设计并实现了水泥产业大数据平台。从数据架构、应用架构和物理架构三个方面构建平台的总体架构,并结合机器学习相关算法对企业进行画像,多维度挖掘企业信息。该平台可提供产业大数据可视化、产业地图、企业全息画像和政策精准匹配四大核心功能,为水泥产业信息化、智能化转型升级提供极富价值的参考,是大数据建设的重要应用示范。

The cement industry big data platform is designed and implemented based on the development demand,industry characteristics and massive data generated in the development of the cement industry.Build the overall architecture of the platform from three aspects of data architecture,application architecture and physical architecture,and combine machine learning related algorithms to visualize enterprises and mine enterprise information in multiple dimensions.The platform can provide four core functions of industrial big data visualization,industrial map,enterprise hologram and policy precise matching,which provides valuable reference for the informatization and intelligent transformation and upgrading of the cement industry,and is an important application demonstration of big data construction.