Journal of Agricultural Big Data ›› 2025, Vol. 7 ›› Issue (3): 307-319.doi: 10.19788/j.issn.2096-6369.000107

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Design and Application of Efficient Water Control Platform for Channel Irrigation Area

ZHANG ShiRui1(), LI Teng1, LIN Ping2, LIU Wei3, WEI YiBo4,*()   

  1. 1. Intelligent equipment Technology Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
    2. Xinjiang Tianye (Group) Co., LTD., Shihezi 832000, Xinjiang, China
    3. Nongxin Technology (Beijing) Co., LTD., Beijing 100097, China
    4. Information Technology Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
  • Received:2025-04-03 Accepted:2025-05-06 Online:2025-09-26 Published:2025-09-28
  • Contact: WEI YiBo

Abstract:

Backward irrigation methods, non-standard water management and weak water-saving consciousness lead to the obvious gap between the effective utilization coefficient of farmland irrigation water in China and that in developed countries. In this study, the microservice framework based on Docker and Kubernetes is used to solve the integration and application problems of key service modules such as iot systems with different development languages and operating environments, water scheduling algorithms for irrigation decision-making, and Web services. Centering on the key links of "water monitoring - intelligent decision-making - efficient regulation", the efficient water management and control platform of irrigation area was constructed. This paper introduces the platform's business logic, platform architecture, function realization method and other technical links, and completes the platform development. The application demonstration of the platform for efficient water use control in canal irrigation district was carried out in Heping Irrigation District of Heilongjiang Province. The analysis on the application effect of the platform showed that the application of the platform effectively reduced the manpower input of water monitoring and irrigation water, reduced the manpower cost by more than 60%, and increased the effective utilization coefficient of irrigation water in farmland by 19%. The model project of information-based irrigation management and control in canal irrigation district can be applied, replicated and promoted.

Key words: irrigation in canal irrigation area, microservices, irrigation decision, information-based management and control, Kubernetes