摘要
以物联网、大数据为核心的数字化技术是当前经济社会发展的重要推动力,其本质是利用信息技术改造提升传统产业,通过数据化、在线化业务,实现用数据生产、用数据管理、用数据决策目标。园区信息化建设是当前乡村振兴战略下支撑供给侧结构性改革的重要切入点,为了解决基层现代农业园区高起点应用而信息资源相对不足、管理决策模式急待提升的难点问题,该文以农业园区数字化管理为例,运用物联网、无人机、科研协同等手段获取数据,进行与基层园区规模相适应的全景GIS(geographic information system)数字化云服务系统设计,以获取的数据为核心,设计了农业园区全景信息管理、在线数据挖掘分析和试验数据协同分析等核心功能,以提高园区农业生产经营的精细化管理水平,为农业"优质、高效、生态、安全"生产目标提供技术支撑。
Internet of things（IoT） and big data are both important technologies that are promoting the development of the current society and economy. The key point of the modern agriculture is to upgrade traditional industries by using information technology, to realize the production, management and decision by using data and online service. Agricultural park informationization construction is important starting point of structural reforms for the supply side under the strategy of rural rejuvenation. Taking the agricultural park digital management as an example, in order to solve the difficulties of information resource insufficient and management model needs to be improved, the digital management technology was put forward, which is suitable for small scale agriculture park. By obtaining datas through the approaches such as internet of things, unmanned aerial vehicles（UAVs） and scientific research collaboration, a panoramic geographic information system（GIS） digital cloud service systems with 4 core functions was designed. Firstly, the high frequency concurrent data access framework for MySQL database system, which can scatter the pressure from single storage node to more others, was designed to receive and save the IoT monitoring data with low energy cost and highly reliable extension, the traditional storage mechanism was replaced by unified storage strategy through the peer to peer routing algorithms, which specifying the site and direction of every records, so as to ensure the safety and stability of the data storage system in the data center. Secondly, the park holographic information management system was designed, which can greatly enhance the real scene effect of 2D map from multiple aspects of 3D view, can trigger the query event like IoT monitoring data query and analysis based on the accurate conversion of the coordinates between panoramic image and panoramic hemisphere, can realize 3D management with much lower cost than traditional 3D modeling by processing UAVs images and setting active points.
作者
王元胜
李瑜玲
吴华瑞
郭威
陈诚
孟淑春
Wang Yuansheng;Li Yuling;Wu Huarui;Guo Wei;Chen Cheng;Meng Shuchun(Beijing Research Center for Information Technology in Agriculture,Beijing Academy of Agriculture and Forestry Sciences,Beijing 100097,China;Shijiazhuang Academy of Agriculture and Forestry Sciences,Shijiazhuang 050041,China;Beijing Vegetable Research Center,Beijing Academy of Agriculture and Forestry Sciences,Beijing 100097,China)
出处
《农业工程学报》
EI
CAS
CSCD
北大核心
2018年第11期143-149,共7页
Transactions of the Chinese Society of Agricultural Engineering
基金
北京市自然科学基金重点项目(4151001)
关键词
农业
互联网
信息技术
大数据
科研协同
全景GIS
agriculture
internet
information technology
big data
scientific collaboration
panorama GIS
