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Design Of Indoor Environmental Smart System Based On PMV

Posted on:2018-10-13Degree:MasterType:Thesis
Country:ChinaCandidate:Q LiuFull Text:PDF
GTID:2322330515973829Subject:Control Science and Engineering
Abstract/Summary:
In recent years,with the continuous improvement of people’s living standards as well as the progress of computer technology and network technology,many smart home products have appeared.They not only have the functions of many traditional homes,but also pay more attention to people’s personal experience,make people’s life more comfortable and convenient.Nowadays,there are little products for indoor thermal comfort.The reason is that the calculation of the Predicted Mean Vote(PMV)thermal comfort index’s parameters is complicated,there are many environmental factors involved and data acquisition is very inconvenient.And user’s own situation is considered less the in the existing research.In order to solve the problem of calculating the PMV index,in this thesis the PMV index calculation method is simulated,in view of the fact that the standard particle swarm optimization algorithm(PSO)lacks the constraint of variables,an improved particle swarm optimization algorithm with constraints is proposed,and the improved particle swarm optimization algorithm with constraints is used to solve the PMV equation.Secondly,an indoor thermal comfort system based on smart phone is designed.Including Android applications and data acquisition terminals based on nRF51822 bluetooth low energy chip.The system transmits environmental datas to the Android device via bluetooth low energy chip.In Android applicatipn,the rate of human metabolism is estimated by recording the number of steps walking.Clothing thermal resistance is obtained through user settings in the application,The improved Particle Swarm Optimization Algorithm is transplanted into the Android application,and the PMV index calculation and control decisions is completed in the Android applicaton.In order to make the indoor environment meet the comfort requirements of the human body,make PMV index equal to zero as the goal,and calculate the air temperature and air velocity setpoint that make the person feel most comfortable,using infrared sent to adjust the control of air conditioning equipment.This system has remarkable effect in individuation and practicability.
Keywords/Search Tags:Smart home, Bluetooth, PMV index, Particle Swarm Optimization, Android Applicaton
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