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作 者:胡海锋[1] Hu Haifeng(Minxi Vocational and Technical College,Longyan 364021,China)
出 处:《农机化研究》2023年第7期214-218,共5页Journal of Agricultural Mechanization Research
基 金:福建省教育厅科技项目(JAT191931)。
摘 要:传统的温室环境参数获取主要依靠各类传感器进行数据采集,采集精度较高,但由于缺乏数据分析,环境参数获取后只能依靠经验对农用设备进行调控,控制效果差,无法保证农作物生长处于最优状态,影响农作物生长质量和产量。为解决上述问题,利用大数据服务器完成环境参数的分析计算,优化了控制参数。通过对大数据服务器基本结构及功能进行深入分析,在传统温室管控系统的基础上,引入大数据分析技术,对大数据服务器中的数据库结构和数据表进行优化设计,并进行了温室大棚温湿度的管控试验。试验结果表明:基于大数据分析的温室管控系统能够实时监测温室环境参数,通过大数据分析可以精确控制温室设备,从而实现温湿度、光照强度等参数的变化,保证农作物生长环境始终处于最佳状态。大数据分析技术的应用,能够为农业生产提供十分准确的生产决策,对推动农业精细化发展具有十分重要的意义。Traditional greenhouse environmental parameter acquisition mainly relies on various sensors for data acquisition,with high acquisition accuracy.However,due to lack of data analysis,after the acquisition of environmental parameters,only experience can be used to regulate agricultural equipment,and the control effect is poor,and crop growth cannot be guaranteed.In an optimal state,it affects the growth quality and yield of crops.In order to solve the above-mentioned problems,this article has studied the big data technology in depth,using big data server to complete the analysis and calculation of environmental parameters,and optimize the control parameters of agricultural equipment.Through in-depth analysis of the basic structure and functions of the big data server,on the basis of the traditional greenhouse management and control system,the introduction of big data analysis technology has completed the optimization study of the greenhouse management system based on big data analysis,and the database structure and data in the big data server The table was optimized and designed,and finally the temperature and humidity control test of the greenhouse was completed.Experiments have shown that the greenhouse management and control system based on big data analysis can monitor greenhouse environmental parameters in real time.Through big data analysis,agricultural equipment can be accurately controlled to achieve changes in temperature,humidity,light intensity and other parameters to ensure that the crop growth environment is always in optimal growth at the same time,the application of big data analysis technology can provide very accurate production decision-making for agricultural production,which is of great significance to promote the development of agricultural precision.
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