Forecast Of The PMV Thermal Comfort Indicators And Research On Control Strategy Of The Air Terminal Control

With the improvement of science and technology, consistent development ofeconomy, higher-quality requirements about people living environment are put forward,as one of the important tools to improve indoor environment, its comfort and energyefficiency are put forward higher request. This paper mainly research on the forecast ofthe thermal comfort index, air conditioning terminal control strategy, the controlalgorithm based on the PMV index of the VAV system. The main achievements andcontributions of this paper are as follows:Firstly, this project is supported by “Technology Platform of Intelligent BuildingEnvironment” of Xi’an University of Architecture and Technology, and setting up thePMV predict model with the summer DS in the thermal comfort index database.Through the simulation experiment under Matlab platform, to compare with thedifferent classification results between PSO-SVM model and NS-SVM model, it turnedout that the PSO-SVM model has the better forecast performance.Secondly, PSO and CPSO are used in optimizing air conditioning terminal controlstrategy. At first, we build a model which is in view of the air conditioning room and theair terminal of the VAV system, then a simulink model which is based on the controlsystem is set up, through the comparison of the control effect between PSO-PID andCPSO-PID, it turned out that the latter one has the better control performance.Thirdly, it is proposed that a control conception based on PMV thermal comfortindex in VAV conditioning system. Meanwhile, the qualitative analysis, which are in thescientific nature and the energy conservation has been carried on. The result suggest thatthe control strategy based on PMV index is more comprehensive consideration of thehuman body thermal comfort feeling, compared with the method only aimed bytemperature control. So it is more "people-oriented", and has a greater energy space from the actual sense.This paper is to provide technical support,which regards thermal comfort index ascontrolled object in air conditioning control areas, based on fast learning algorithmpredicts contained PMV index. The research on strategy used in air terminal intelligentcontrol provides a theoretical basis, which contains thermal comfort index for energysaving control strategy in future.