| 摘要: |
| 为适应多物联网终端情境下的温室高效管理,搭建功能完整、技术先进、稳定实用的温室智能管控应用系统。本文首先梳理归纳了应用系统建设需求,并基于云架构进行了系统的整体设计,分别从硬件和软件两个方面进行了系统的详细设计。其次,针对温室环境变量自动调控应用场景及其需求,基于模糊控制理论设计了双向分离的调控规则,构建了基于实时监测数据的模糊控制算法。最后,基于轻量级SSM组合框架进行了应用系统的研发,并在试点温室进行了系统部署与集成,以灌溉过程控制为例进行了基于地面墒情实时监测数据的远程灌溉调控应用测试。结果表明系统功能设计合理、兼容性强,容易实现且运行稳定可靠,能满足温室日常精细化生产管理的基本要求。 |
| 关键词: 温室，应用系统，设计，模糊控制，SSM框架 |
| DOI： |
| 分类号:S2;S3;5;TV |
| 基金项目:温室节水灌溉自动化控制系统研发项目(149-2069999)第一作者：卢鑫(1989-),男(汉族),甘肃白银人,工程师,硕士,主要从事节水灌溉控制与智慧水利研究。(E-mail)scsky_lx@126.com。通讯作者：卢鑫(1989-),男(汉族),甘肃白银人,工程师,硕士,主要从事节水灌溉控制与智慧水利研究。(E-mail)scsky_lx@126.com。 |
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| Research and development of greenhouse intelligent management system |
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luxin
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Sichuan Research Institute Of Water Conservancy
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| Abstract: |
| In order to adapt to the greenhouse efficient management under the situation of multi-terminals of IOT, and build a greenhouse intelligent management and control application system with sophisticated functions, advanced technology, stability and practicality.Firstly,this paper summarizes the construction requirements of greenhouse production management application service system. Secondly, based on the cloud architecture, the overall design of greenhouse intelligent management and control application system is carried out from hardware and software aspect .According to the requirement of automatic control of greenhouse environmental variables, fuzzy control theory is applied to design dual directional separated regulation rules, and a fuzzy control algorithm based on real-time monitoring data is constructed. Finally, the application system is developed based on SSM framework, and deployed and integrated in the greenhouse of Mopan Hill experimental base. Take irrigation process as an example, the test of remote intelligent control based on the real-time monitoring data of soil moisture is carried out. The results show that system function design is reasonable, the operation runs stably and reliably, and meet the basic requirements of greenhouse daily management. |
| Key words: Greenhouse , Application , Design ,Fuzzy;control , SSM;framework |
