Realization of Internet of Things Smart Appliances

Abstract

This study proposed a household energy state monitoring system (HESMS) and a household energy load monitoring system (HELMS) for monitoring smart appliances. The HESMS applies reinforcement learning to receive changes in the external environment and the state of an electrical appliance, determines if the electrical appliance should be turned on, and controls the signals sent to the HELMS according to these decisions. The HELMS implements an ON/OFF control mechanism for household appliances according to the control signals and the power consumption state. The proposed systems are based on the wireless communication network and can monitor household appliances' energy usage, control intelligent appliances, and decrease fire occurrence rates due to electrical appliance overloading. In addition to minimizing costs, the system does not change the original household appliance structures. When the control signals are transferred by the relay through wireless communication, the monitoring information is captured and recorded in a database. Thus, users can access the latest information regarding the performance of electrical appliances.