为了保证舱内居住的舒适度设计基于人工智能技术的船舶居住舱暖通控制系统。传感器采集居住舱环境数据，对数据进行预处理，通过LSTM模型预测舱内环境变化趋势，根据预测结果调节暖通系统的风速、供热及供冷量等运行参数，实现居住舱暖通系统的合理调节控制。结果显示，该系统可有效预测出居住舱环境变化趋势，并依据预测结果合理控制居住舱暖通系统，令舱内温湿度及空气质量达到舒适稳定状态，保障舱内环境的舒适性。
Ensure the comfort of living inside the cabin. To this end, design a ship's residential cabin HVAC control system based on artificial intelligence technology. Sensors collect data on the living cabin environment, preprocess the data, predict the trend of changes in the cabin environment through LSTM model, and adjust the operating parameters of the HVAC system such as wind speed, heating and cooling capacity based on the prediction results to achieve reasonable adjustment and control of the living cabin HVAC system. The results show that the system can effectively predict the trend of changes in the living cabin environment, and control the HVAC system of the living cabin reasonably based on the prediction results, so that the temperature, humidity, and air quality inside the cabin can reach a comfortable and stable state, ensuring the comfort of the cabin environment.
2024,46(20): 163-166 收稿日期：2024-3-16
DOI：10.3404/j.issn.1672-7649.2024.20.030
分类号：TP273
基金项目：湖北省教育厅规划办重点课题项目（2023GA096）
作者简介：艾丽容(1979-),女,硕士,副教授,研究方向为暖通空调技术
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