杂交水稻2026，Vol.41Issue(3)：47-55,9.DOI:10.16267/j.cnki.1005-3956.20250707.138
基于MPC算法的水稻培育智能水温控制系统设计及应用
Design and Application of an Intelligent Water Temperature Control System for Rice Cultivation Based on MPC Algorithm
摘要
Abstract
In view of the rice fertility instability of photo-thermo-sensitive genic male sterile lines restricting the promotion of hybrid rice,a low-power intelligent temperature control system was developed.The system aims to provide standardized environmental conditions for rice fertility stability evaluation by precisely maintaining the constancy and suitability of water temperatures in treatment pools.An intelligent water temperature control system was designed based on low-power and long-range radio(LoRa)technology,and the architecture of"a single master node and multiple slave nodes"was adopted to achieve wide-area temperature monitoring in the cultivation pools of photo-thermo-sensitive genic male sterile rice.The system integrates high-precision temperature sensors to collect real-time water temperature data,and uses model predictive control(MPC)method to dynamically optimize the temperature control strategy,thus overcoming the inertia and delay of the heat engine in the water tank temperature control system and achieving fast and accurate temperature control.The cold and hot water mixing valve is controlled to achieve precise temperature control in the water pool.Low-power data transmission within a range of 1 000 m is achieved through LoRa spread spectrum modulation technology,and a node intermittent sleep mechanism is adopted to reduce energy consumption.Experiment results showed that the system maintained water temperature fluctuations within±0.2℃ of the target value,with the temperature-rising time reduced to 17.6 s,which represented an increase of 145.6％in regulation speed compared with that of the conventional proportional integral derivative(PID)algorithm.In this intelligent temperature control system,the photo-thermo-sensitive genic male sterile rice line 1892S was cultivated for six days under long-day constant temperature of 22.5℃,achieving the maximum self-pollination seed-setting(bagging)rate of 23.61％.In contrast,under the high-temperature natural environment,the self-pollination seed-setting rate of 1892S was 0.00％.Therefore,the system effectively reduces energy consumption and enables precise temperature control to enhance the breeding efficiency of photo-thermo-sensitive genic male sterile rice lines,laying a solid foundation for the large-scale promotion of two-line hybrid rice.关键词
杂交水稻/低功耗/LoRa/MPC/控温系统Key words
hybrid rice/low power/LoRa/MPC/temperature control system分类
农业科技引用本文复制引用
王伍梅,倪大虎,刘银燕,王玉,杜士云..基于MPC算法的水稻培育智能水温控制系统设计及应用[J].杂交水稻,2026,41(3):47-55,9.基金项目
安徽省重大专项(202003a06020005) （202003a06020005）
安徽省科技重大专项(2021d06050002) （2021d06050002）
安徽省财政农业种质资源保护与利用专项(2024ZY1003) （2024ZY1003）
