2095-1124

CN 51-1738/F

乡村振兴大数据画像系统研究与实践

Research and Practice of the Big Data Portrait System for Rural Revitalization

  • 摘要: 了解乡村发展现状是实现乡村振兴的前提,大数据技术和画像技术能够帮助政府部门更好地刻画乡村发展面貌,政府在此基础上可以因地制宜、因乡施策。乡村振兴大数据画像平台具有综合化、动态化、智能化、可视化四大特征及了解全貌、差异寻因、监测预警三大功能。本文创新性地提出了乡村振兴大数据画像平台的理论架构,包括数据采集、数据预处理、数据存储、特征工程、数据挖掘、乡村画像六大板块,并对乡村振兴大数据画像平台的实际成果进行展示,以期促进大数据技术在“三农”领域的应用,为实现乡村振兴提供有力支持。

     

    Abstract: Understanding the current situation of rural development is the premise of rural revitalization. Big data technology and portrait technology can help governments to better depict the appearance of rural development. On this basis, the government departments can make specific measures according to local conditions. This paper reviews systematically the literature on rural big data portrait, and finds that the existing literature pays more attention to user’s and enterprises’ portrait, but less attention to rural portrait. Based on this, the paper gives the definition of the big data portrait system for rural revitalization, and elaborates the four characteristics of the system: comprehensive, dynamic, intelligent and visual, as well as the three functions: understanding the whole picture, finding the cause of differences, monitoring and early warning. The paper gives the specific architecture of the rural revitalization big data portrait system, including data collection, data preprocessing, data storage, feature engineering, data mining and rural portrait.

     

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