基于无线传感网的设施环境二氧化碳精准调控系统

发布时间：2018-04-22 07:31

本文选题：设施环境 + 二氧化碳　；参考：《农业机械学报》2017年03期

【摘要】：设计了一套基于无线传感网的设施环境二氧化碳精准调控系统,包括主控节点、监测节点及补施节点,通过Zig Bee协议实现节点间信息交互。监测节点实时获取设施内多点二氧化碳浓度、温度、光照数据;主控节点根据作物各阶段最适生长环境,结合温度与光照阈值,动态计算二氧化碳浓度目标值与实时值之间的差值作为调控参数,采用反馈控制实现二氧化碳动态调控;为改善以往设施二氧化碳补施不均的普遍现象,设施中气体扩散管道采取双M型布置方式,设计开孔大小不同的二氧化碳扩散孔,由补施节点配合对流装置控制各小区域的二氧化碳排放量,达到均匀和定量补施的目的。实地布置和试验表明基于无线传感网的设施环境二氧化碳调控系统可实现稳定可靠运行,以设施番茄为研究对象,在面积36.66 m~2日光温室内补施目标值与实时值的相对误差小于3.5%,在面积27.74 m~2玻璃温室内验证监测节点间二氧化碳浓度变异系数小于2.93%,证明本系统可实现二氧化碳精准及均匀补充。
[Abstract]:A wireless sensor network-based precise control system for carbon dioxide in facility environment is designed, which includes main control node, monitoring node and supplementary node, and realizes information exchange between nodes through Zig Bee protocol. The monitoring node acquires multi-point carbon dioxide concentration, temperature and illumination data in real time. The main control node combines temperature with light threshold according to the optimal growth environment of each stage of the crop. Dynamic calculation of the difference between the target value of carbon dioxide concentration and the real time value is used as the control parameter, and the feedback control is used to realize the dynamic control of carbon dioxide. The gas diffusion pipeline in the facility adopts the double M type arrangement and designs the carbon dioxide diffusion holes with different opening sizes. The carbon dioxide emissions of each small area are controlled by the supplementary application node and the convection device to achieve the purpose of uniform and quantitative supplementation. The field arrangement and test show that the CO2 control system based on wireless sensor network can operate stably and reliably. The relative error between the target value and the real time value was less than 3.5 in the area of 36.66 mm2 solar greenhouse, and the coefficient of variation of carbon dioxide concentration between the monitoring nodes was less than 2.93 in the 27.74 mm2 glass-greenhouse, which proved that the system could achieve accurate and uniform carbon dioxide supplement.
【作者单位】：西北农林科技大学机械与电子工程学院;
【基金】：国家自然科学基金项目(31671587) 杨凌示范区产学研用协同创新重大项目(2016CXY-19)
【分类号】：S625;TP212.9;TN92

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