Research On Dynamic Control Of Indoor Environment Comfort Based On Users' Complaints

Since twenty-first century,people's living environment requirements are increasing with the progress of science and technology,social and economic development.The comfortable indoor environment can not only improve the work efficiency of people,but also make people healthy and happy.Besides,energy saving and emission reduction have also been in all walks of life with today's increasingly tense energy.The building energy consumption is mainly from the energy consumption of indoor environment control system.How to ensure the comfort of indoor environment and reduce the energy consumption of indoor environment control system have become the focus of the research of indoor environment comfort.Based on this situation,the corresponding research is done in the dissertation as follows:1)In the design of control system,aimming at the traditional indoor environment control system,the indoor environment is controlled by setting the parameters of indoor environment,however,the settings are often unreasonable,resulting in users' discomfort and energy wasting.In the dissertation,a designed method of indoor environment comfort based on users' complaint is put forward,which adds the complaint information that people feel uncomfortable about the indoor environment to the integrated control system.The control system is different from the traditional environment control system,which takes into account the individual differences of indoor comfort,collecting information about users' uncomfortable feelings about the environment by the way of human-computer interaction,predicting the indoor environment comfort,and intelligently controlling the parameters of indoor environment to really meet people comfort requirements.At the same time,based on the above ideas,a dynamic control system of indoor environment comfort based on users' complaints is designed and implemented in the dissertation.2)In the decision making of control system,aiming at the deficiency of traditional indoor environment comfort evaluation index,Predictive Mean Vote,PMV with multi parameters,nonlinear,complex iterative computation,is a static comfort index,which can not be used to measure and predict the human comfort in a dynamic way.The indoor environment comfort model based on users' complaints using neural network algorithm is proposed,and then the process of intelligently evaluating and predicting indoor environment comfort is given.3)In the aspect of energy saving of the control system,the change of indoor environmental parameters can be caused by the change of the number of people at indoor,and the energy consumption of the indoor environment control system is directly affectted by the number of people at indoor.By adding the smart camera to intelligently count the number of people at indoor,the use of energy-saving control algorithm based on the detectting the number of people achieves the purpose of reducing energy consumption of the indoor environment comfort control system in the dissertation.Finally,the designed indoor environment comfort control system is used to carry out experiments,and experimental data is analyzed.Compared with traditional indoor environment control,it shows that the control system designed in the dissertation can meet the comfortable requirements of indoor environment,and can achieve the goal of saving energy and reducing consumption.