基于混合专家网络的回南天预测方法与智能控湿策略  

Wet weather prediction method and intelligent humidity control strategy based on mixture of experts

作　　者：林沿铮 邓苏鸣 罗新号 樊其锋 高峰 LIN Yanzheng;DENG Suming;LUO Xinhao;FAN Qifeng;GAO Feng(Guangdong Midea Refrigeration Equipment Co.,Ltd.Foshan 528311)

机构地区：[1]广东美的制冷设备有限公司,广东佛山528311

出　　处：《家电科技》2024年第2期64-67,共4页Journal of Appliance Science & Technology

摘　　要：回南天是一种空气湿度过高的天气现象,会影响人们的生活和健康。天气预报不直接播报回南天,这给人们对回南天的预防造成了一定的困难。研究领域回南天数据的稀少也对回南天预测造成了困难。人工构建了回南天预测数据集,然后提出了一种基于混合专家网络的回南天预测算法,可以实现对未来24小时内回南天天气的预测。基于预测结果,设计了一套回南天场景模式,可以向用户主动发送预警消息,并且推荐用户开启自主智能控湿模式,以完成室内空气的主动调节。测试结果表明,该技术可以有效地预测回南天,并针对预测结果提供智能控湿策略,提高用户的生活舒适度和健康水平。Wet weather is a weather phenomenon characterized by high humidity levels that can affect people's lives and health.Weather forecasts do not directly report on wet weather,which makes it difficult for people to prevent it.The scarcity of data on wet weather in the research field also poses a challenge to its prediction.Constructed,an artificial dataset for predicting wet weather and a wet weather prediction algorithm based on a hybrid expert system was proposed,which can predict wet weather for the next 24 hours.Based on the prediction results,a wet weather scene mode was designed to proactively send warning messages to users and recommend that they activate the autonomous intelligent humidity control mode to actively regulate indoor air.The test results show that this technology can effectively predict wet weather and provide intelligent humidity control strategies based on the prediction results,improving users'living comfort and health.

关 键 词：空气调节 除湿 深度学习 混合专家网络 

分 类 号：TM925.12[电气工程—电力电子与电力传动] TB6[一般工业技术—制冷工程]