Pso And Neural Network Based On Air-Condition On PMV Prediction

Intelligent building construction industry as the new "economic growth", has become themajor trend of the construction market, the design of intelligent building account the feelings ofthe people fully, providing people a comfortable and safe working, living and learningenvironment, which mainly through the air-conditioning and control systems to achieve. But theair conditioning system is the main energy-consuming systems, power consumption is quitelarge, they often result in unnecessary consumption, as people’s awareness of environmentalprotection more emphasis on energy saving, energy-saving central air conditioning has becomean urgent need to address the main people the problem. In the air conditioning systemevaluation, generally the temperature of the room as the index criterion. If only the temperatureas the controlled parameter control scheme is too simple, and can not meet people’s needs. Itwould also result in a waste of air conditioning systems more energy and increase operatingcosts, but also to the economic performance cause a huge impact. The human thermal comfortindex, which determine the PMV index is also impact on the thermal environment ofinternational important theoretical basis. PMV as a control target has become a trend in thedevelopment of intelligent air-conditioning.The issue of BP neural network design PMV index, the simulation results can be seen as agood prediction, but no advantage in convergence speed. For this deficiency, this paperintroduces PSO turn on BP neural network tuning process, after re-tuning the forecast PMVindex. The simulation results can be seen, to ensure accuracy, based on the convergence rate isalso accelerated. We also introduced the back of the PMV index of the control method, andcompare selected according to the direct control of PMV index-based strategy, simulationexperiments. The simulation results demonstrate that temperature regulation at the same time, ifwind speed changes, you can also make the PMV index to achieve a comfortable standard, fullyreflects the good energy saving effect. Since the end of VAV air-conditioning to play the role inwind speed changing, VAV terminal units in the system plays a very important role in theposition. To control the size of the room air supply, under normal circumstances VAV systemsis achieved by the end of the device. Effects and the end of the air conditioning unit are linkedclosely. VAV systems for the end of the main types of pressure-type terminal and a strongpressure independent terminal, and do not have the same characteristics. Pressure independentflow control using a cascade loop, but also reduced the coupling between the end and ensuresthe stability. According to the analysis and comparison, this is used in the final pressureindependent to control simulation. While the introduction of an improved particle swarmoptimization, but also to maximize the algorithm to make up deficiencies.