灌溉方式落后，用水管理不规范，节水意识薄弱等问题造成我国农田灌溉水利用系数较发达国家差距明显，急需采用信息化技术赋能发展精细化渠灌区灌溉信息化、智能化管控。本研究采用基于Docker与Kubernetes的微服务框架，解决了不同开发语言和不同运行环境的物联网系统、灌溉决策用水调度算法、Web服务等关键服务模块的集成应用问题，围绕渠灌区农田“水情监测-智能决策-高效调控”等关键环节，构建渠灌区高效用水管控平台。文中介绍了平台的业务逻辑、平台架构、功能实现方法等技术环节。在黑龙江和平灌区的应用效果表明，平台降低了水情监测和灌溉用水的人力投入60%，提高了农田灌溉水有效利用系数19%，打造了渠灌区信息化灌溉管控的可应用、可复制、可推广样板工程。

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.