智能建筑室内环境恒温优化控制仿真研究  

Intelligent Building Indoor Environment Temperature Optimal Control Simulation

作　　者：刘运城[1] 

机构地区：[1]东莞理工学院城市学院,广东东莞523419

出　　处：《计算机仿真》2017年第1期318-321,共4页Computer Simulation

基　　金：广东省自然科学基金(NO.9151170003000013)

摘　　要：对智能建筑室内环境恒温进行准确控制,可以提升建筑的舒适度。在进行恒温控制时,会出现送风温度大幅度波动的情况,导致传统方法不能将温度控制在合理的范围内,提出一种智能建筑室内环境恒温优化控制方法。上述方法在物联网环境下,融合于多智能体技术设计温度模糊控制结构,确定智能建筑温度控制系统的输入输出变量及其模糊集,利用Agent执行算法修改模糊规则,并融合于双线性控制算法组建智能建筑恒温动态控制模型,在送风温度大幅度波动时将室内温度维持在设定值中,弥补了当前系统不能适应智能建筑环境变化的弊端。仿真结果表明,改进算法与传统算法相比可以大幅度提高智能建筑恒温控制的鲁棒性,且温度控制稳定性强。It can improve the building comfort level to make accurate constant temperature control of indoor environment in intelligent building. Due to large fluctuating of supply air temperature during constant temperature control, traditional method cannot control the temperature within a reasonable range. This paper proposes a constant temperature control method of indoor environment in intelligent building. The temperature fuzzy control structure is designed integrated with multi-agent technology under Internet of things. Then the input and output variables and fuzzy sets of temperature control system of intelligent building are confirmed. The fuzzy rules are modified by using agent implementation algorithm. A constant temperature dynamic control model of intelligent building is also built integrated with bilinear control algorithm. The indoor temperature is maintained in set value when supply air temperature fluctuates sharply. It can adapt environmental change of intelligent building. The simulation results show that the modified algorithm can improve the robustness of constant temperature control of intelligent building compared with traditional algorithm. In the meantime, the temperature control stability is better.

关 键 词：基于物联网 智能建筑 恒温控制 

分 类 号：TU831.3[建筑科学—供热、供燃气、通风及空调工程]