In recent years, traditional sprinkler irrigation scheduling scenarios have no longer been applicable to modern agriculture because of the increase in energy prices and the rapid development of smart agriculture. This paper proposes a new irrigation scheduling scenario in which a sprinkler is used as the minimum optimization unit for sectoring design. The main challenge of the proposed approach lies in obtaining the most energy‐efficient sectoring and pump operating frequencies, and the high complexity of the optimization problem requires considerable computational effort. To compare the irrigation performance before and after optimization, seven scheduling scenarios are established to analyse the performance of the unified control method, branch scheduling method and sprinkler scheduling method. Through numerical calculations and experimental verification, it was found that sprinkler scheduling can not only meet the pressure requirements of sprinklers without using pressure‐regulating valves but also minimize energy consumption. Compared with optimal branch pipe scheduling, optimal sprinkler scheduling can reduce the sprinkler pressure variance from 792 to 180 kPa2 and reduce the irrigation cost by approximately 18%. In addition, by analysing the uniformity coefficient and distribution uniformity under different scenarios, it was found that sprinkler scheduling optimization does not substantially improve irrigation uniformity.

中文翻译：

---

优化喷灌调度方案降低灌溉能耗

近年来，随着能源价格的上涨和智慧农业的快速发展，传统的喷灌调度场景已经不再适用于现代农业。本文提出了一种新的灌溉调度方案，其中喷头被用作分区设计的最小优化单元。该方法的主要挑战在于获得最节能的扇区和泵工作频率，并且优化问题的高度复杂性需要大量的计算工作。为了比较优化前后的灌溉性能，建立了7种调度场景，分析了统一控制方法、分支调度方法和喷头调度方法的性能。通过数值计算和实验验证，喷头调度不仅可以在不使用调压阀的情况下满足喷头的压力要求，而且可以最大限度地降低能耗。与最优支管调度相比，最优喷头调度可将喷头压力方差从 792 kPa 降低至 180 kPa2并降低灌溉成本约18%。此外，通过分析不同场景下的均匀系数和分布均匀度，发现喷头调度优化并不能实质性提高灌溉均匀度。