欢迎访问《中国农学通报》，
中国农学通报

中国农学通报 ›› 2025, Vol. 41 ›› Issue (7): 128-137.doi: 10.11924/j.issn.1000-6850.casb2024-0541

• 工程·机械·水利·装备 • 上一篇    下一篇

顾及水分敏感性的模型预测控制灌溉决策

刘湃1(), 赵东保1(), 魏义长1, 肖练2   

  1. 1 华北水利水电大学，郑州 450046
    2 自然资源部四川基础地理信息中心，成都 610041
  • 收稿日期:2024-08-27 修回日期:2024-10-31 出版日期:2025-03-05 发布日期:2025-03-03
  • 通讯作者:
    赵东保，男，1979年出生，河南宜阳人，教授，博士，主要从事空间地理时空数据挖掘研究。E-mail：。
  • 作者简介:

    刘湃，男，1999年出生，河南开封人，硕士研究生，主要从事智慧灌溉研究。通信地址：450046 河南郑州金水区华北水利水电大学龙子湖校区，E-mail：。

  • 基金资助:
    四川省科技计划项目重点研发项目“四川省农田智慧灌溉时空数据挖掘及其预报预警关键技术研究”(2022YFN002)

Model Predictive Control of Irrigation Decisions Considering Moisture Sensitivity

LIU Pai1(), ZHAO Dongbao1(), WEI Yichang1, XIAO Lian2   

  1. 1 North China University of Water Resources and Electric Power, Zhengzhou 450046
    2 Sichuan Basic Geographic Information Center, Ministry of Natural Resources, Chengdu 610041
  • Received:2024-08-27 Revised:2024-10-31 Published:2025-03-05 Online:2025-03-03

RichHTML

2

PDF (PC)

60

摘要：

为充分利用灌溉水资源、提高灌溉水生产效率，本研究提出了一种顾及水分敏感性的模型预测控制灌溉决策方法。该方法首先利用农作物在各时期的水分敏感指数和Jensen模型，运用非线性规划法确定农作物各生育阶段每天的灌溉上限，然后将灌溉上限作为限制条件纳入到模型预测控制(MPC)框架中，构建了顾及水分敏感性的MPC灌溉决策模型。然后，采用常规MPC决策、本研究的MPC决策、基于Jensen模型的决策3种方法分别在河南省原阳县进行夏玉米仿真灌溉实验。仿真实验结果表明，与常规MPC灌溉决策相比，本研究的MPC灌溉决策虽然产量有些下降，但是节省了更多的灌溉水，并且提高了灌溉水生产效率。与基于Jensen模型的决策相比，本研究的MPC灌溉决策不仅节省了灌溉水，还提高了产量，显著提升了灌溉水生产效率。本研究方法可进一步节约水资源，增强灌溉水生产效率，有效服务于农业用水智慧灌溉。

关键词: 河南省原阳县, 灌溉决策, 模型预测控制, Jensen模型, 灌溉水生产效率, 水分敏感性

Abstract:

In order to make full use of irrigation water resources and improve irrigation water production efficiency, this paper proposed a model predictive control irrigation decision-making method considering water sensitivity. This method first used the water sensitivity index of crops in each period and the Jensen model, and used the nonlinear programming method to determine the daily irrigation upper limit of each growth stage of crops. Then the irrigation upper limit was incorporated into the model predictive control (MPC) framework as a limiting condition to construct a MPC irrigation decision-making model considering water sensitivity. Summer corn simulation irrigation experiments were conducted in Yuanyang County, Henan Province by using three methods: conventional MPC decision-making, MPC decision-making in this article, and decision-making based on the Jensen model. The simulation experiment results showed that compared with the conventional MPC irrigation decision-making, although the yield of the MPC irrigation decision-making in this paper was somewhat reduced, it saved more irrigation water and improved irrigation water productivity. Compared with the decision-making based on the Jensen model, the MPC irrigation decision-making in this paper not only saved irrigation water, but also increased yield and significantly improved irrigation water production efficiency. The method in this article can further save water resources, enhance irrigation water production efficiency, and effectively serve smart irrigation of agricultural water.

Key words: Yuanyang County of Henan Province, irrigation decision, model predictive control, Jensen model, irrigation water production efficiency, water sensitivity