农业大数据学报 ›› 2021, Vol. 3 ›› Issue (2): 54-66.doi: 10.19788/j.issn.2096-6369.210206

• 研究综述 • 上一篇    

茶叶全产业链大数据中心功能设计与开发进展

陈富桥(), 凌晨   

  1. 中国农业科学院茶叶研究所,杭州 310008
  • 收稿日期:2021-04-10 出版日期:2021-06-26 发布日期:2021-08-31
  • 通讯作者: 陈富桥 E-mail:fuqiao@vip.126.com
  • 作者简介:陈富桥,男,副研究员,研究生,博士,研究方向:茶产业经济与发展、数字经济;E-mail: fuqiao@vip.126.com
  • 基金资助:
    国家茶叶全产业链大数据建设试点项目

Functional Design and Development of the Big Data Center of the Whole Tea Industry Chain

Fuqiao Chen(), Chen Ling   

  1. Tea Research Institute, Chinese Academy of Agricultural Sciences, HangZhou 310008
  • Received:2021-04-10 Online:2021-06-26 Published:2021-08-31
  • Contact: Fuqiao Chen E-mail:fuqiao@vip.126.com

摘要:

国家茶叶全产业链大数据项目是农业农村部批复建设的单品大数据平台之一,建设的目标是为涉茶政府部门、经营主体、科研机构、公众等提供专业权威的数据服务,致力于支撑茶产业科学决策,提高茶产业数字化水平,助推我国茶产业数字化转型,同时为数字农业项目建设提供试点经验。中心立足茶产业实际按照可用、能用、易用的原则进行设计和建设,开展茶产业数据的采集、存储、挖掘工作,在功能上按照一体化管理和模块化应用思路进行,并强化了数据采集和应用功能,开发了丰富多元的数据采集功能,同时根据具体的应用场景开发了相对独立的数据挖掘和模型系统。通过前期的建设和调试,目前已经具备数据采集、分析和发布能力,其中消费趋势数据、电商数据、舆情监测数据已经具有明显的辅助决策能力,对全面把握茶产业运行规律、产业政策制定、指导科学决策开始发挥作用。本文依据项目建设方案和实际进展,介绍了国家茶叶全产业链大数据试点项目建设的背景与意义、定位与建设目标;重点介绍了项目的技术路线、主要模块及其主要功能;对项目的主要特色进行了剖析,并对对后期建设计划进行了展望。

关键词: 茶叶全产业链大数据, 数据采集, 数据挖掘与决策, 功能设计, 农业大数据

Abstract:

The National Whole Tea Industry Chain Big Data Project is one of the single-product big data platforms approved by China’s Ministry of Agriculture and Rural Affairs. The goal of its construction is to provide professional and authoritative data services for tea-related government departments, business entities, scientific research institutions, and the public. The platform is committed to supporting the tea industry’s scientific decision-making, improving the digitalization of the tea industry, and boosting the digital transformation of China’s tea industry. The data platform promotes industrial transformation and upgrading and provides a pilot experience for the construction of other digital agriculture projects. The center is designed and constructed around the tea industry in accordance with the principles of availability, usability, and ease of use. The platform conducts the collection, storage, and mining of tea industry data. Its functions are conducted in accordance with the ideas of integrated management and modular application. The platform has strengthened digital collection and application functions and developed a rich and diverse data collection function. At the same time, a relatively independent data mining and model system is developed on the basis of the specific application scenarios. Through preliminary construction and debugging, the center now has the ability to collect, analyze, and publish data. Consumption trend data, e-commerce data, and public opinion monitoring data are useful in decision-making, understanding the operating rules of the tea industry, formulating industrial policies, and guiding scientific decision-making. This article introduces the background, significance, positioning, and construction objectives of the National Whole Tea Industry Chain Big Data Pilot Project by drawing on the project construction plan and progress. It focuses on the technical route, main modules, and main functions of the project. It also analyzes the main features of the project and looks forward to the later construction plan.

Key words: the Whole Tea Industry Chain Big Data, data acquisition, data mining and decision making, function design, agricultural big data

中图分类号: 

  • TP311.1