| 基于ET和水量平衡的日光温室实时精准灌溉决策及控制系统 |
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| 引用本文： | 顾哲,袁寿其,齐志明,王新坤,蔡彬,郑珍.基于ET和水量平衡的日光温室实时精准灌溉决策及控制系统[J].农业工程学报,2018,34(23):101-108. |
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| 作者姓名： | 顾哲 袁寿其 齐志明 王新坤 蔡彬 郑珍 |
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| 作者单位： | 1. 江苏大学流体机械工程技术研究中心，镇江 212013;,1. 江苏大学流体机械工程技术研究中心，镇江 212013;,2. 加拿大麦吉尔大学生物资源工程系，蒙特利尔 H9X 3V9,1. 江苏大学流体机械工程技术研究中心，镇江 212013;,1. 江苏大学流体机械工程技术研究中心，镇江 212013;,1. 江苏大学流体机械工程技术研究中心，镇江 212013; |
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| 基金项目： | 十三五国家重点研发计划（2016YFC0400202） |
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| 摘 要： | 为提高日光温室的灌溉水利用效率,充分发挥现有灌溉决策理论的指导作用,该文构建了基于ET和水量平衡方法的实时精准灌溉决策及控制系统。以句容布戴庄村樱桃番茄温室为试验对象,给出了利用ET和水量平衡方法的灌溉决策实施过程,即当田间蒸发蒸腾总量大于土壤中可供作物利用水分时触发灌溉,灌水量等于自上一次灌溉起蒸散量的总和。采用Java语言开发了灌溉决策软件ETSch,可实现以温室内气象数据为基础对不同地点的灌溉决策项目进行管理;设计了温室精准滴灌系统并研制了基于单片机的灌溉控制器软硬件,通过ETSch软件与控制器的连接,建立了从田间气象信息获取到灌溉决策软件运行,再到灌溉及控制系统的集成化自动精准灌溉模式。试验结果表明,该实时精准灌溉决策及控制系统的平均灌水总量控制平均误差为1.1%,系统运行稳定,节约人工;尽管采用ET和水量平衡方法低估了实际土壤含水率,但总体趋势一致,能实现合理有效的灌溉决策。该研究可为实现灌溉决策和控制系统的集成提供参考,为进一步提高灌溉效果和用水效率提供借鉴。
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| 关 键 词： | 灌溉 控制 土壤水分 实时精准灌溉 灌溉决策 灌溉控制系统 水量平衡 决策软件 |
| 收稿时间： | 2018/4/27 0:00:00 |
| 修稿时间： | 2018/9/26 0:00:00 |
Real-time precise irrigation scheduling and control system in solar greenhouse based on ET and water balance |
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| Gu Zhe,Yuan Shouqi,Qi Zhiming,Wang Xinkun,Cai Bin and Zheng Zhen.Real-time precise irrigation scheduling and control system in solar greenhouse based on ET and water balance[J].Transactions of the Chinese Society of Agricultural Engineering,2018,34(23):101-108. |
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| Authors: | Gu Zhe Yuan Shouqi Qi Zhiming Wang Xinkun Cai Bin and Zheng Zhen |
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| Institution: | 1. Research Center of Fluid Machinery Engineering and Technology, Jiangsu University, Zhenjiang 212013, China;,1. Research Center of Fluid Machinery Engineering and Technology, Jiangsu University, Zhenjiang 212013, China;,2. Department of Bioresource Engineering, McGill University, Sainte-Anne-de-Bellevue, QC H9X 3V9, Canada,1. Research Center of Fluid Machinery Engineering and Technology, Jiangsu University, Zhenjiang 212013, China;,1. Research Center of Fluid Machinery Engineering and Technology, Jiangsu University, Zhenjiang 212013, China; and 1. Research Center of Fluid Machinery Engineering and Technology, Jiangsu University, Zhenjiang 212013, China; |
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| Abstract: | Abstract: China is experiencing critical water scarce in agricultural production, and to improve irrigation water use efficiency has been the priority of agriculture development for years. Real-time irrigation scheduling, as well as its integration with irrigation control system, should be paid more attention other than the solely use of sprinkler and drip irrigation systems to improve irrigation water use efficiency in Chinese irrigation community. The evapotranspiration(ET) and water balance (ET-WB) method was applied in this paper to schedule irrigations in a solar greenhouse for cherry tomato in Jurong City in Jiangsu Province. A modified reference ET equation for solar greenhouse was used, and FAO56 suggested initial parameters were referenced to calculate crop evapotranspiration (ETc). Irrigations were triggered in a daily scale when accumulated crop evapotranspiration exceeded readily available water (RAW) across the root depth, which was defined by management allowable depletion (MAD) suggested by Huffman et al.(2013). Then an irrigation event was applied to replenish the soil to field capacity. A user-friendly irrigation scheduling software, namely ETSch, was developed using Java on a laptop, to facilitate managers with calculations involved in ET-WB method. The ETSch calculated ET using meteorological data measured from a field station in greenhouse, and outputed the accumulated ETc and RAW, as well as the irrigation decision on that day. Once an irrigation was triggered, ETSch would send a control signal through a serial connection to the irrigation control system, which was designed using a single-chip microcomputer (SCM) MSP430F169. The SCM system controlled the irrigation amount of the drip irrigation system arranged for each irrigation treatment. Once received an irrigation command, the SCM system would open the corresponding valves and read the flow from a flowmeter. The total water amount would be calculated in the SCM through an integration of flow and stops irrigation when it reached the scheduled amount. Both hardware and software of the SCM control system were detailly designed and developed. The experiment result showed that the irrigation control system worked well after flow correction, with an average error of only 1.1% between set and actual irrigation amount . The scheduled irrigations avoided the occurrence of over-high or low soil water content, and maintained crop water requirement over the crop season, though with an averagely 9.1% underestimate of soil moisture. The estimated soil moisture under ET-WB method showed a consistent change with measured values generally, which proved the efficiency of the developed irrigation scheduling and control system. The underestimate of soil moisture would probably be caused by the error of soil property settings and lateral flow from outside greenhouse with much rainfall. To conclude, a real-time precise irrigation scheduling and control system was developed for greenhouse planted cherry tomato based on ET-WB method, including a laptop-based scheduling software and an SCM-based precise controller. The framework of irrigation scheduling and control system could be an example of further smart irrigation systems, and the data collected could be used for agricultural models calibration and benefit the improvement of irrigation scheduling efficiency. To improve the feasibility of such real-time precise irrigation scheduling and control system for field-scale applications, remote connections should be built for data collection system, irrigation scheduling system and irrigation control system. |
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| Keywords: | irrigation control soil moisture real-time precise irrigation irrigation scheduling irrigation control system water balance irrigation scheduling software |
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