CHAI Mengjiang,ZHANG Xiye,PAN Minrui,et al.Intelligent Greenhouse and Precise Management Internet of Things Regulation System[J].Northern Horticulture,2021,(12):147-154.[doi:10.11937/bfyy.20210213]
温室智能大棚与精准灌溉物联网调控系统
- Title:
- Intelligent Greenhouse and Precise Management Internet of Things Regulation System
- 文献标志码:
- A
- 摘要:
- 面对日益增长的物质需求以及对生活质量的要求，温室大棚的必要性显得更为突出，它可以使农作物的生长不再受季节的限制，一年四季都获得丰硕的果实。但传统的温室大棚通常需要农户定期检查、灌溉和施肥。在这种种植模式下，普遍存在着成本高、效率低、管理不便等问题。因此现对温室大棚进行了研究，提出了基于物联网的温室控制与管理平台，通过系统管理终端对温室大棚进行远程监测、控制和告警，并且该系统为每个农户配带专有的生产档案和专家系统，可以自动生成相应的二维码实现对每个农产品从种植到销售所有信息的追溯，专家系统也会为农户提供最科学的种植方案以及根据上一季作物种植后的环境自动推荐下一季最适合种植的作物，尽可能的取得效益最大化，真正实现智能农业。
- Abstract:
- In the face of people′s growing material needs and the requirements of the quality of life,the necessity of greenhouse is more prominent,it can make the growth of crops is no longer limited by the season,all the year round get rich fruit.But traditional greenhouses usually require regular inspection,irrigation and fertilization by farmers.Under this planting mode,there are many problems such as high cost,low efficiency and inconvenient management.So in this paper,the greenhouses were studied,based on the Internet of Things of greenhouse control and management platform,through the system management terminal greenhouses for remote monitoring,control and alarm,and the system for each of the farmers along the exclusive production of archives and the expert system,could automatically generate the corresponding QR code implementation for each agricultural products from the plant to sale all the trace of information,the expert system could also provide farmers with the most scientific planting and automatically according to the environment of last season after crop recommend the most suitable for growing crops for next season,maximum benefit maximization,truly intelligent agriculture.
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备注/Memo
第一作者简介：柴孟江（1974-），男，硕士，副教授，现主要从事机械设计等研究工作。E-mail:wkychmj@163.com.责任作者：张学敏（1975-），男，博士，副教授，博士生导师，现主要从事车辆节能环保与新能源技术等研究工作。E-mail:xuemin_zh@cau.edu.cn.基金项目：山东省高校设施园艺实验室资助项目(2018YY057)。收稿日期：2020-01-15