基于指数平滑预测的高效变量喷灌方法

针对现有灌溉系统只能实现大田经验均一灌溉、缺乏决策指导的问题,基于田间ZigBee无线网络实时采集的田间预埋水分传感器信息,提出一种基于二次平滑预测算法的变量灌溉指导数据处理方法,根据理论设定值自行调整平滑权重,使其预测数据达到最优,得到变量作业处方图;研制了基于PLC的喷灌机变量控制系统,通过模拟百分率计时器对喷灌机逐跨调节,并实时调整行走步长与速度,实现变量灌溉。田间对比试验结果表明,变量灌溉效率及节水方面均优于传统灌溉。

Efficient Variable Irrigation Method Based on Exponential Smoothing Prediction

It is of great practical significance to develop high-efficiency farmland water-saving irrigation technology. Existing irrigation systems lack decision-making guidance, can only achieve uniform irrigation in the field. In order to solve this problem, the ZigBee wireless network was used to do the real-time data acquisition of embedded moisture sensor in paper. And then put forward a variable irrigation data processing method based on the quadratic smoothing prediction algorithm. This method can adjust smooth weight according to the theory value to achieve the optimal prediction data, finally get the variable operation prescription map. The sprinkler machine variable control system was developed here. This system is mainly composed of Siemens s7-200 programmable logic controller, PC, soil water sensor, GNSS position information module, etc. It can adjust the sprinkler machine step by step by simulating the percentage timer, and real-time adjust the walk step length and speed to realize variable irrigation. In order to evaluate the performance of the system, the effect evaluation experiment of traditional irrigation and variable irrigation was carried out. Field contrast test results indicated that variable irrigation operation efficiency was higher than traditional irrigation about 23.19%. The practical application shows that the designed variable irrigation system has good applicability and operability, can significantly improve the irrigation effect, and achieve the purpose of saving water and increasing income.