农业企业集团大数据分析云平台设计及应用

Design and Application of Big Data Analysis Cloud Platform of Agricultural Enterprise Group

为了推进农业企业集团信息化对生产、经营、管理的全链数据支撑能力,不断优化重组企业生产经营流程、简化管理结构,提高效率、促进决策科学化,针对农业企业集团特点,应用大数据、物联网及信息技术,提出以云数据、云计算为核心的农业大数据分析云平台设计方案,其中,云数据采用分布式数据处理方式,以更好地处理多源异构数据,云计算由提供模糊控制等算法的基础运算层和提供生产销售等分析模型的分析模型库组成。该系统以传感器实时自动收集数据,根据企业管理及决策需要,由云计算启用相应模型及算法,调用云数据中相应数据进行计算和分析,将相关模型的计算结果加权平均,结果输出至企业管理应用层,作为数据支持,科学支撑企业管理。整个系统以数据流贯穿于企业管理链,用于企业生产经营、财务控制、人力资源管理、风险控制、决策支持等,以实现农作物生长、产品加工、仓储物流的智能控制及财务、人力资源管理的信息化、决策支持的科学化。

In order to promote the ability of the agricultural enterprise group information to supporting the whole chain data of production and management,continuously optimize and reorganize enterprise production and management process,simplify the management structure to improve efficiency,and promote scientific decision-making,aiming at the characteristics of agricultural enterprise group and applying big data,internet of things and information technology,this paper puts forward the design plan of cloud data platform based on cloud data and cloud computing,among them,the cloud data were processed by distributed data processing method to better deal with multisource heterogeneous data,cloud computing was made up of basic operation level and analysis model database,and basic operation level provided fuzzy control algorithm,the analysis model database provided production,sales and other analysis models.The sensor collected data automatically,according to the needs of enterprise management and decision-making,cloud computing enabled the corresponding models and algorithms,invoked the corresponding data in the cloud data for calculation and analysis,and the calculation results of relevant models were weighted.The Ultimate results were outputted to the enterprise management application layer,as data support and scientific support of enterprise management.The whole system was based on the data flow throughout the enterprise management chain,for enterprise production and management,financial control,human resources management,risk control and decision support,and realized the intelligent control of crops growth,products processing,warehousing and logistics,informatization of financial and human resources management,and scientization of decision support.