Energy Consumption And Demand Managemnet Via WSN In Smart Conditioning System

Wireless sensor network(WSN) is an important way to acquire data in the Internet of things technology system. With the rapid development of Internet of things in recent years, WSN has been widely used, in the field of smart life. Environmental comfort and energy saving are two main goals of smart life space.This thesis studies the energy consumption management for smart life. Driven by user demands for different temperatures in the air conditioning system, this thesis want to establish a set of intelligent air conditioning control models by combining the WSN technology and computational intelligent based on the demand management of multiple users via WSN.First of all, this thesis simply introduces the wireless sensor network technology and smart life, summarizes domestic and foreign research about smart conditioning, presents the existing problems related to air conditioning control in smart life.Then this thesis studies the user requirement model in the control environment and proposes the continuity of temperature comfort model in smart life. Based on the user comfort temperature model, this thesis proposes a control model of smart conditioning via WSN when considering multiple users in different temperature appeal. At the same time, according to the previous model based on the WSN, the thesis designs a smart air conditioning control system, including the system architecture, system software architecture and control service module.Finally, we conclude the simulation design of control service module and the simulation experiment. The simulation results show that the smart conditioning control model proposed in this thesis can raise the overall living comfort and save more energy.