| The quality problems of the primary school classroom environment in the Xi’an area are increasingly prominent. Giving an objective evaluation of environmental comfort accurately is base of controlling and optimizing the indoor environment research. Aim to achieve energy conservation, reducing energy consumptionIn elementary school classroom environment thermal environment for the study, the average thermal sensation vote(Predicted Mean Vote) as evaluation criteria, using heat index PMV equation school classroom comfort value. Actual research, the classroom environment parameters collected at the scene of the four thermal comfort(classroom air temperature, relative humidity classroom, classroom air flow rate and the black-bulb temperature), by subjective questionnaires ways to understand students’ sensitivity to the thermal environment and clothing case to determine the two human factors(human metabolic rate and clothing insulation). Students acceptable temperature range is determined by the thermal neutral methods.To solve the classroom environment quality control and intelligent building energy consumption and comfort phase conflict problem, the use of multi-agent control architectures, intelligent control system gives the framework of primary school classrooms. Xi’an University of Architecture and Technology Preparatory School classroom scene investigation, mastered the classroom size, the actual data window size, wall thickness, number of indoor lighting statistics, indoor staffing and so on. Then, according to the elementary school classroom with actual data TRNSYS transient thermal simulation software to build classroom environment model, while building multi-agent system model school classroom for the establishment of follow-control model and multi-objective optimization coordination platform.An acceptable range of thermal comfort and air quality control indicators classrooms qualification, combined with the actual data obtained by in situ measurements inside and outside the classroom, and the establishment of thermal comfort using fuzzy control methods, classroom air quality control model. At the same time, the use of multi-objective particle swarm optimization algorithm to solve the contradiction between energy consumption and comfort issues. Experimental results show that the intelligent control system can be well applied to primary school classroom environment quality control; at the same time, multi-particle swarm optimization algorithm to obtain the optimal solution set is better than the traditional optimization methods. |
