基于数字孪生技术的温室自动化监控技术研究  

Research on Greenhouse Automation Monitoring Technology Based on Digital Twin Technology

作　　者：姜柘宇 JIANG Zheyu(College of Computer Science and Technology,China University of Petroleum(East China),Qingdao 266580,China)

机构地区：[1]中国石油大学(华东)计算机科学与技术学院,青岛266580

出　　处：《自动化与仪表》2025年第3期150-154,共5页Automation & Instrumentation

摘　　要：为更直观地呈现温室环境信息与控制结果,研究基于数字孪生技术的温室自动化监控技术。采集温室环境信息,对信息进行异常值数据清洗,利用多模数据融合技术对数据进行融合,将数字孪生技术与运动学模型相结合,通过数据虚实映射构建温室环境的数字孪生模型,模型根据历史环境数据进行温室环境数据预测,根据预测结果制定对未来一段时间内的温室环境控制决策。实验结果显示,该技术能够准确采集温室环境信息,并准确构建温室内的植物模型、环境模型与设备模型,可直观展示温室当前状态,且有效达到期望控制状态。To present greenhouse environmental information and control results more intuitively,research on greenhouse automation monitoring technology based on digital twin technology.Collect greenhouse environmental information,per-forms outlier data cleaning on the information,uses multimodal data fusion technology to fuse the data,combines digi-tal twin technology with kinematic models,and constructs a digital twin model of the greenhouse environment through data virtual real mapping.The model predicts greenhouse environmental data based on historical environmental data and makes greenhouse environmental control decisions for a certain period of time based on the prediction results.The experimental results show that this technology can accurately collect greenhouse environmental information,and accurately construct plant models,environmental models,and equipment models inside the greenhouse,visually display-ing the current status of the greenhouse,and effectively achieve the desired control state.

关 键 词：数字孪生技术 温室 自动化监控 传感器 数据融合 数据预测 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]