基于强化学习的北方温室热带水果微气候自适应控制系统
The reinforcement learning-based adaptive control system for microclimate of tropical fruits in northern greenhouses has solved the problems of control accuracy and energy consumption in greenhouses under complex winter climates in northern China. It has achieved precise coordination of the collaborative actions of multiple devices, thereby improving fruit quality and yield.
CN121325625BActive Publication Date: 2026-07-17BEIJING CHANGLI JINYUAN AGRICULTURAL TECHNOLOGY CO LTD
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- BEIJING CHANGLI JINYUAN AGRICULTURAL TECHNOLOGY CO LTD
- Filing Date
- 2025-12-03
- Publication Date
- 2026-07-17
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Figure CN121325625B_ABST
Abstract
本发明涉及人工智能技术领域，更进一步地，涉及基于强化学习的北方温室热带水果微气候自适应控制系统。系统包括：一数据采集模块，配置用于按预设采样周期采集多通道传感器数据；一开环轨迹优化模块，配置用于：基于状态向量，建立一神经ODE环境模型，并采用Pontryagin近似进行开环轨迹优化，以生成控制轨迹；一策略微调模块，配置用于：配置一策略网络，策略网络通过模仿学习控制轨迹的首个时间段的动作进行训练，并基于整窗偏差分数与整窗能耗的灵敏度进行在线微调；一指令执行模块，配置用于：优先采用控制轨迹生成可执行报文序列，并下发至受控设备。本发明能够在不同气象与作物条件下保持控制精度和稳定性。
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