Prediction and real time control system of change of soil mositure in a greenhouse

温室土壤湿度变化预测与实时控制系统

• 批准号: 08660317
• 负责人: NAKANO Kazuhiro
• 金额: $ 1.28万
• 依托单位: Niigata University
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Scientific Research (C)
• 财政年份: 1996
• 资助国家: 日本
• 起止时间: 1996 至 1998
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-08660317/
• 关键词: greenhouse; soil moisture; pF value; real time control; solar radiation; multiple regression; fuzzy control; temperature and humidity; 重回帰; ファジィ; 温・湿度; 温度; 湿度

The objective of this study is to develop the real time control system which can predict the changes of soil moisture (pP value) in a greenhouse and appropriately control pF value. In 1996 and 1997, the soil moisture control system and the environmental supervisory system were constructed. Using the multiple regression analysis, changes of pF values were determined to be the dependent variable, and the temperature, the moisture and the amount of solar radiation were used for independent variables. In 1998, the automatic irrigation systems were constructed using two kinds of control methods. One is the multiple regression control mentioned above, and the other is the fuzzy control. These cultivation results were compared with those of farmer's manual irrigation work (the custom method). Cucumber, which frequently requires irrigation work, was chosen in this study.Regarding the total amount of irrigation in the experimental periods, that of the custom area was I , 330 L, while that of the multiple regression control area was 641 L, and that of the fuzzy control area was 917 L.The ratios of A-quality during the whole experimental period showed 47% in the custom area, 43% in the multiple regression control area, and 47% in -the fuzzy control area. The yield of cucumbers per stock during the experimental period showed 2,006g in the custom area, white those in the multiple regression control area and in the fuzzy control area showed 2,067g and 2,338g. The earnings per stock are 847 yen, 885 yen and 1,026 yen, respectively, From the results mentioned above, these two control methods were proven to be useful for automatic irrigation control in the greenhouse.

本研究的目的是开发一套真实的时间控制系统，能够预测温室内土壤水分（pP值）的变化，并能适当地控制pF值。1996年和1997年，建立了土壤水分控制系统和环境监测系统。采用多元回归分析，确定pF值的变化为因变量，温度、湿度和太阳辐射量为自变量。1998年，采用两种控制方法建造了自动灌溉系统。一种是上述的多元回归控制，另一种是模糊控制。这些栽培结果与农民的人工灌溉工作（习惯方法）进行了比较。本研究以黄瓜为试验材料，试验期内的总灌水量，常规区为1330 L，多元回归控制区为641 L，模糊控制区为917 L，整个试验期A级品率常规区为47%，多元回归控制区为43%，模糊控制区为47%。试验期黄瓜单株产量常规区为2,006 g，多元回归控制区为2,067 g，模糊控制区为2,338 g，白色。每股收益分别为847日元、885日元和1，026日元。从上述结果可以看出，这两种控制方法对于温室中的自动灌溉控制是有用的。