农业大数据学报 ›› 2021, Vol. 3 ›› Issue (4): 59-69.doi: 10.19788/j.issn.2096-6369.210407

• 应用研究 • 上一篇    下一篇

基于大数据的福建省科技特派员服务云平台构建与实现

李志鹏(), 赵健(), 王苗苗, 陈宏, 高晓丹   

  1. 福建省农业科学院数字农业研究所,福州 350001
  • 收稿日期:2021-10-15 出版日期:2021-12-26 发布日期:2022-01-28
  • 通讯作者: 赵健 E-mail:lizhipeng@faas.cn;zhaojian@faas.cn
  • 作者简介:李志鹏,男,研究生,研究方向:数字农业; E-mail: lizhipeng@faas.cn
  • 基金资助:
    创新战略研究项目(2021R0149);中央引导地方科技发展专项(2020L3020);福建省农业高质量发展协同创新工程(XTCXGC2021015);福建省智慧农业科技创新团队(CXTD2021013-1)

Construction and Implementation of Fujian Provincial Science and Technology Commissioner Service Cloud Platform Based on Big Data

Zhipeng Li(), Jian Zhao(), Miaomiao Wang, Hong Chen, Xiaodang Gao   

  1. Institute of Digital Agriculture Research, Fujian Academy of Agricultural Sciences, Fuzhou 350001, China
  • Received:2021-10-15 Online:2021-12-26 Published:2022-01-28
  • Contact: Jian Zhao E-mail:lizhipeng@faas.cn;zhaojian@faas.cn

摘要: 目的

科技特派员是农业科技创新和农业科技服务的重要抓手,应用现代信息技术来解决农民的生产需求、促进提高科技特派员工作效率,已成为提升科技特派员服务水平的重要手段。

方法

在详细分析福建省科技特派员发展现状和需求的基础上,基于大数据和云计算思维构建了科技特派员服务云平台的总体框架,对云平台的数据资源建设、软件功能模块设计和供需匹配进行了详细设计,并实际应用在科技特派选任、管理和服务中。

结果

在数据资源方面,创新构建了面向对象的农业知识“双树形结构”实体关系模型按种类建了142个专题数据库,收录将近20万条技术信息;在管理方面,平台具备在线选任、知识服务、需求发布、成果对接、互动咨询、动态跟踪、大数据分析等功能,实现了福建全省科技特派员在线申请、考核管理、绩效评估、动态服务、远程服务;在服务方面,丰富农业农村科技创新供给方式,助力全省5000多位科技特派员为生产一线实时提供在线服务,实现了“云上”精准服务、远程服务、动态服务,让农民、企业足不出户即可获得科技特派员和团队及时迅速的远程支持;在服务渠道上,微信公众号和小程序取得成效,有效增加了用户的黏度。

结论

创新了农业技术供需对接机制,实现“订单式”需求对接和“菜单式”服务供给模式,让平台具备了“技术中介”与“人才中介”的功能,防止脱离基层实际,提高了服务成效,为乡村全面振兴和农业供给侧改革提供了技术支撑。如何对大规模的农业数据的挖掘和分析是下一步云平台建设的重要方向。

关键词: 科技特派员, 大数据, 云平台, 福建省

Abstract: Objective

The science and technology commissioner is an important starting point for agricultural technology innovation and agricultural technology services. The application of modern information technology to satisfy the production needs of farmers and improve the work efficiency of the science and technology commissioner, which has become an important means to improve the service level of the science and technology commissioner.

Methods

On the basis of detailed analysis of the development status quo and needs of science and technology commissioners in Fujian Province, the overall framework of the service cloud platform for science and technology commissioners is constructed under the guidance of big data and cloud computing thinking. Detailed design and practical application have been carried out, which have also been applied in the selection, management and service of scientific and technological missions.

Results

In terms of data resources, an object-oriented "dual tree structure" entity-relationship model of agricultural knowledge has been innovatively constructed. 142 thematic databases have been built according to types, including nearly 200,000 pieces of technical information; In terms of management, the platform has functions such as online selection, knowledge service, demand release, achievement docking, interactive consultation, dynamic tracking, big data analysis, etc., and realizes the online application, assessment management, performance evaluation, dynamic service. When applying for science and technology commissioners, the application of informatization has greatly improved the efficiency of registration and review. At the same time, the accumulation of points for the services of each science and technology commissioner also provides a basis for the selection of science and technology commissioners in the next year. In terms of service, it has enriched the supply methods of agricultural and rural science and technology innovation, and helped more than 5,000 science and technology commissioners in the province to provide real-time online services for the production line, effectively expanding the service scope and service depth of science and technology commissioners. The lack of "combat in the army" in the process allows science and technology commissioners with different disciplines and professional backgrounds to realize "group services" on the platform, collaboratively solve various industrial technical problems, and realize "cloud" precise services, remote services, and dynamic services, so that farmers and enterprises can obtain timely and rapid remote support from scientific and technological commissioners and teams without leaving home. In terms of service channels, Wechat Official Accounts and small programs have worked well, effectively increasing the user's viscosity.

Conclusions

The construction has innovated the supply and demand docking mechanism of agricultural technology, realized the "order-based" demand docking and "menu-based" service supply mode, and enabled the platform to have the functions of "technology intermediary" and "talent intermediary", preventing it from being divorced from grass-roots reality and improving service effectiveness. Also, it has provided technical support for comprehensive rural revitalization and agricultural supply-side reform. How to mine and analyze large-scale agricultural data is an important direction for the next cloud platform construction.

Key words: science and technology correspondent, big data, cloud platform, Fujian province

中图分类号: 

  • G350