微灌精确控制模式研究

Accuracy control model for micro-irrigation

对土壤湿度监测法和计算法在微灌控制中的应用进行了分析,提出一种综合上述2种方法、具有一定自学习功能的全新微灌控制模式。该模式提高了计算精度,解决了计算法的开环误差问题,排除了降雨和计划湿润层水分流失带来的计算困难,保证了作物系数的可求性,对于温室灌溉量计算还引入了温室状态系数的概念;尽管采用了土壤湿度传感器,但其分布密度可以很低,并防止了测量滞后性带来控制失败问题的出现。该模式具有大规模推广应用前景。

The paper analyzes two main types of irrigation control which are based on sensing soil moisture or calculating water requirement, and discusses their application to micro-irrigation As a synthesis of them, a new micro-irrigation control model with self-learning ability is proposed This model enhances calculating precision, because it eliminates the open-loop control error, excludes the difficulties arising from rain and deep drainage, and facilitates evaluation of the crop coefficient. A greenhouse status coefficient is introduced for calculating the water requirement of greenhouse irrigation Though soil moisture sensors are adopted, their distribution density is quite low, and the control failure arising from lag of measure is avoided The new model shows a large-scale application prospect