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作 者:范琼[1] 张武[1,2] 张雪花[1] 谢涛[1]
机构地区:[1]安徽农业大学信息与计算机学院,合肥市230036 [2]农业部农业物联网技术集成与应用重点实验室,合肥市230036
出 处:《中国农机化学报》2016年第5期71-75,共5页Journal of Chinese Agricultural Mechanization
基 金:农业部948项目(2013-Z64);安徽农业大学学科骨干培育项目(2014XKPY-63)
摘 要:为避免极端环境对作物生长造成损伤,提出一种基于温室小气候模型的环境监测预警技术。通过无线传感器网络实时获取温室环境数据,建立温室小气候模型,将模型预测结果与预警指标库中作物受灾指标对比,及时预测温室异常环境。该技术以LabVIEW为开发平台,实现温室环境自动监测、数据管理、温室小气候模拟、异常环境预警和远程发布等功能。结果表明,该技术能够有效对温室小气候环境进行实时监测预警,可靠性高,具有较好的实用价值。In order to avoid extreme environmental conditions cause damage to the crops,this paper proposes a method for environmental monitoring and forewarning based on the greenhouse microclimatic models.The method is used wireless sensor networks to achieve the real-time acquisition of environmental information and create the greenhouse microclimatic models.By comparing the model prediction results with the index of crop suffered disasters in forewarning indicators library,the method can predict abnormal greenhouse environment timely.The software platform of the technology is based on LabVIEW,includes automatic monitoring of greenhouse environment,data management,greenhouse microclimatic modeling,abnormal environment forewarning,online publishing,et al.The result shows that this technology has high reliability and practical value.It makes greenhouse microclimatic real-time monitoring and forewarning effectively.
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