家电科技2024，Vol.2Issue(2)：64-67,4.DOI:10.19784/j.cnki.issn1672-0172.2024.02.009
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
林沿铮 1邓苏鸣 1罗新号 1樊其锋 1高峰1
作者信息
- 1. 广东美的制冷设备有限公司 广东佛山 528311
- 折叠
摘要
Abstract
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Key words
Air conditioning/Dehumidification/Deep learning/Mixture of experts分类
信息技术与安全科学引用本文复制引用
林沿铮,邓苏鸣,罗新号,樊其锋,高峰..基于混合专家网络的回南天预测方法与智能控湿策略[J].家电科技,2024,2(2):64-67,4.
