Design of AI based automation control for smart home devices
LIU Bingyang
DAI Peng
QIAO Shouming
Abstract：The smart home control system,based on deep learning and machine learning algorithms,is capable of achieving intelligent perception of the environment and collaborative control of devices.This paper focuses on the architecture of the system,which consists of perception,network,processing,and application layers.Through multi-modal data fusion technology,the system realizes precise perception of environmental parameters and continuously optimizes the operation strategies of devices by integrating the deep deterministic policy gradient algorithm.The core technologies cover the LSTM-based user behavior prediction algorithm,the multi-sensor data fusion-based environment perception method,and the collaborative control strategy of devices.Experimental results show that the system has achieved significant improvements in scene recognition accuracy,control precision,and energy utilization efficiency,offering an innovative solution for smart home environment control.
Keywords：artificial intelligencesmart homeautomated controldeep learningmultimodal fusion
Publication Date：2025-08-25
Pages：3( 93-95 )