Optimization for integrated control of building, human, and HVAC system based on the soft computing

本研究的目的是对建筑、人和暖通空调系统的集成控制进行优化。项目包括VR和HDR技术，动态气味瓶方法，以及干燥剂HVAC的主题测试。提出了一种基于神经网络的多分裂式交流系统仿真模型的逼近方法。提出了对调度器和HVAC设备进行抽象的建议，以促进程序的开源和源代码的回收。

The purpose of this research is the optimization of the integrated control of building, human and HVAC system. Project included comprehensively the VR and HDR technique, dynamic odor-bottle method, and desiccant HVAC on subject tests. The neural network-applied approximation method was proposed for the simulation model of the multi-split type AC system. The abstraction of scheduler and HVAC devices was suggested to stimulate the open-sourcing of programs and the reclamation of source code.