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基于热量平衡方程的温室冬季温度控制策略
引用本文:涂泓滨,朱德兰,刘孟阳,柳昌新,王瑞心,荆宇鹏.基于热量平衡方程的温室冬季温度控制策略[J].农业工程学报,2022,38(10):200-207.
作者姓名:涂泓滨  朱德兰  刘孟阳  柳昌新  王瑞心  荆宇鹏
作者单位:1. 西北农林科技大学水利与建筑工程学院,杨凌 712100;2. 西北农林科技大学旱区农业水土工程教育部重点实验室,杨凌 712100;;3. 塔什干国立农业大学育种学系,乌兹别克斯坦塔什干 100140;;4. 普渡大学工业工程学院,美国印第安纳 47906
基金项目:陕西省重点研发计划(2020ZDLNY01-01);国家重点研发计划项目(2021YFE0103000);国家外国专家局"111"计划项目(B12007)
摘    要:为解决配备空气源热泵的温室在冬季加热时温度调控不稳定等问题,该研究在对温室热传递原理进行分析的基础上,通过实测数据分别计算了温室卷被闭合与揭开两种状态下的综合传热系数、空气源热泵系统工作性能参数和雾化喷淋工作性能参数。根据温室热量平衡方程,建立了调控设备控制时间与温室环境参数间的数学关系,并以此提出了温度控制策略,系统运行时利用传感器实时采集环境数据作为输入,输出设备所需工作时间,并据此控制设备启停。经试验验证,基于热量平衡方程的控制方法能有效控制温度在目标值附近,且温度变化稳定、波动幅度小。在外部天气状况相近条件下,该控制方法的单日耗电量比基于上下限阈值控制的方法节约9.06 kW·h,占其当日耗电量的10.95%。在控制策略研究的基础上,利用典型物联网结构设计并实现远程自动控制,研究结果可直接应用于实践。

关 键 词:温室  热量平衡  物联网  空气源热泵  温度控制策略
收稿时间:2022/1/30 0:00:00
修稿时间:2022/3/29 0:00:00

Winter temperature control strategy of greenhouse based on heat balance equation
Tu Hongbin,Zhu Delan,Liu Mengyang,Liu Changxin,Wang Ruixin,Jing Yupeng.Winter temperature control strategy of greenhouse based on heat balance equation[J].Transactions of the Chinese Society of Agricultural Engineering,2022,38(10):200-207.
Authors:Tu Hongbin  Zhu Delan  Liu Mengyang  Liu Changxin  Wang Ruixin  Jing Yupeng
Institution:1. College of Water Resources and Architectural Engineering, Northwest A&F University, Yangling 712100, China; 2. Key Laboratory of Agricultural Soil and Water Engineering of the Ministry of Education, Northwest A&F University, Yangling 712100, China;;3. Breeding and Seed Production of Agricultural Crops of Tashkent State Agrarian University, Tashkent 100140, Uzbekistan;;4. College of Engineering, Purdue University, Indiana 47906, America
Abstract:Abstract: An active heating system is often necessary for the normal growth of crops in a greenhouse, particularly with the severe winter weather in northern China. Among them, an air-source heat pump system can be favored for the low energy consumption, cost saving, and less pollution. Much effort was mostly on the working performance of heat pumps. Specifically, an advanced control systems of greenhouse environment with a high level of automation cannot better fit the current situation of family-oriented greenhouse cultivation, particularly at a high cost. It is highly urgent to combine the temperature control systems for the regulation of the greenhouse with the air source heat pump in a reasonable and simple way. In this study, an intelligent monitoring system was established to combine the management needs of modern greenhouse using the typical IoT structure. The system also consisted of on-site monitoring subsystem, IoT cloud box, and remote monitoring subsystem. The integrated heat transfer coefficient was then calculated under the rolled/unrolled greenhouse, according to the basic principles of heat transfer. The measured data was utilized to determine the performance parameters of the air source heat pump heating system and fogging spray. The heat balance equation was selected to establish the relationship equation between the control time of regulating equipment and environmental parameters of greenhouse. As such, the temperature control strategy was designed to collect the environmental data in real time by sensors. The obtained data was set as the input in the process, while the output was required the working time of equipment to control the equipment start and stop, according to the time to regulate the greenhouse temperature. At the same time, the crop light compensation point was used to control the action of the rolled quilt, in order to fully meet the light environment that required for the crop growth. An outdoor light irradiance was also used to correct the indoor light irradiance, because the sensor value cannot accurately reflect the real value, due to the rolled quilt before the unrolling action. Once the indoor irradiance correction value was greater than the crop light compensation point, the volume was opened, otherwise, the volume was closed. A series of experiments were also carried out with the greenhouse cucumber cultivation. There were the stable changes and small fluctuations of temperature around the target value in the improved model under the heat balance equation. The single-day power consumption of the control system saved 9.06 kW·h under similar external weather conditions, compared with the set value-based control system, accounting for 10.95% of the power consumption on the test day. Consequently, the control system under the heat balance equation can be easily implemented to regulate via the different temperature target values, according to the crop demand. The finding can provide a strong reference for the application and promotion of temperature control strategy for the greenhouse in winter.
Keywords:greenhouse  heat balance  internet of things  air source heat pump  temperature control strategy
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