Intelligent Building Environment Control System Based on LLM
In the field of smart buildings,it has always been a challenge to adjust the internal environment in real time to meet the needs of each individual.This paper proposes a solution strategy that uses large models and interacts with people to understand and meet their needs.By bringing users into the environmental adjustment process,we can better understand their comfort requirements and deal with them through large models.We designed a user-friendly human-machine interface to collect user feedback and use a large model to realize real-time adjustment of environmental factors such as temperature,humidity and illumination.Through continuous interaction and adjustment with users,we can continuously optimize the results of the large model,making the environment in the smart building closer to everyone's expectations.This study illustrates the potential of human-computer interaction in the field of intelligent buildings,and predicts the future development prospects of large models in this field.
NETL
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