Assemble Algorithm Based on User Behaviors in the Smart Home

To make the smart home having the ability to learn, accumulating experiences, serving actively for users, the assemble algorithm based on user behaviors is proposed in this paper. By the time-partition, average time and standard values of time freeness of smart devices are calculated respectively. After judging the effectiveness of observations of the time freeness, intersection and union mathematical operations are completed alternately. Therefore it can save user´s behaviors and analyze them actively in the gateway of smart home. By IOV-T-2530 experimental platform to verify the assemble algorithm based on user behaviors, the experimental results show that it can provide users with accurate and stable services.