基于移动云计算技术的农用天气预报服务平台研发 ——以宁夏酿酒葡萄农事活动预报为例

传统TCP/IP 协议的FTP 文件传输方式和服务产品一次性制作、统一分发的服务方式已无法满足现有服务针对性、多样性、高时效性的要求。为减少冗余农用天气预报服务产品的产生，提高运算效率及服务针对性，本研究以宁夏酿酒葡萄为例，采用移动互联网与云计算技术，研发了基于用户地理位置及关注农事活动的宁夏农用天气预报云服务平台，实现了在线实时制作并发布服务产品。平台主要由资料加工软件、产品云制作软件、农气服务APP三部分组成。通过将气象业务网内的基础数据及必要的中间数据上传至云服务器数据库，利用资料获取、指标比较、预报制作等子程序，通过已建立云服务网站API接口方式，获取相关农用天气预报。其次，还可利用开发的APP获取具有很强专业性、时效性和针对性的、基于用户地理位置的农用天气预报产品。平台有力提升了宁夏农用天气预报业务的客观化、自动化水平及业务产品质量，可为国内农用天气预报技术向专业化和精细化发展提供参考。

Development of Farming Weather Forecast Service Platform Based on Mobile Cloud Computing Technology—A Case Study on Forecasting of Wine-Grape Farming Activities

The FTP file transfer method based on traditional TCP/IP protocol and the service mode with one-time production and unified distribution of service products no longer meet the pertinence, diversity, high efficiency requirements of the existing services. In order to reduce redundant farming weather forecast service products, improve the operational efficiency and services pertinence, by adopting internet and cloud computing technology, authors took wine grapes in Ningxia hui autonomous region as an example and developed Ningxia farming weather forecast cloud services platform based on user location and farming activities. Online real time production and distribution of service products were realized in this research. This platform was mainly composed of three parts: data processing software, farming product cloud producing software and agriculture meteorological service APP. The workflow of this platform was as follows: basic data and necessary intermediate data in the Meteorological Service Network were uploaded to the cloud server database, then subroutines such as data acquisition, index comparison and forecast making were used, and finally related farming weather forecast were obtained through the API interface of the established cloud service website. In addition, farming weather forecast products with strong professionalism, time-validity and pertinence based on the user's geographical location were acquired through the developed APP. This platform can greatly improve the objectification, automation level and service product quality of farming weather forecast in Ningxia, as well as can provide references for specialization and fine development in farming weather forecast technology in China.