农业工程2026，Vol.16Issue(1)：61-69,9.DOI:10.19998/j.cnki.2095-1795.202507025
基于FA-LSTM-GRU的日光温室温度预测及拉膜通风控制研究
Research on temperature prediction and film-pulling ventilation control in solar greenhouses based on FA-LSTM-GRU
摘要
Abstract
As energy-efficient vegetable production facilities in winter,solar greenhouses face significant challenges in internal temper-ature control due to high thermal inertia,strong nonlinearity,and large external disturbances.Traditional ventilation control strategies generally suffer from response delays and insufficient accuracy,making it difficult to meet environmental requirements for stable crop growth.To improve intelligence and real-time performance of greenhouse temperature regulation systems,a hybrid model combining long short-term memory(LSTM)and gated recurrent unit(GRU)optimized by firefly algorithm(FA)was proposed,referred to as FA-LSTM-GRU,for temperature prediction and ventilation control.First,model integrated LSTM and GRU structures,a multi-head attention(MHA)was incorporated to enhance temporal feature extraction,and FA was employed to optimize hyperparameters.Then,a model predictive control strategy based on predicted values was designed,in which ventilation behavior was proactively adjusted using proximal policy optimization(PPO).Finally,a control system was implemented on cloud server and Arduino platforms to achieve closed-loop integration.Experimental results showed that FA-LSTM-GRU model achieved R2=0.976 9 and root mean square error of 0.770 8 ℃.Control strategy stabilized temperature fluctuations within±0.6 ℃,demonstrating good accuracy and system robustness.关键词
日光温室/温度预测/通风控制/长短期记忆网络/门控循环神经网络/萤火虫算法/近端策略优化Key words
solar greenhouse/temperature prediction/ventilation control/long short-term memory/gated recurrent unit/firefly algorithm/proximal policy optimizat分类
农业科技引用本文复制引用
李天华,赵敬德,韩威,苏国秀,魏珉,张观山,赵秀艳..基于FA-LSTM-GRU的日光温室温度预测及拉膜通风控制研究[J].农业工程,2026,16(1):61-69,9.基金项目
国家自然科学基金青年科学基金项目(32201657) （32201657）
山东省蔬菜产业技术体系项目(SDAIT-05-12) （SDAIT-05-12）
山东省重点研发计划(竞争性创新平台)项目(2024CXPT047) （竞争性创新平台）
