摘要
为破解智慧建筑室内暖通空调控制能量成本高的难题,开展数字孪生与物联网融合的远程控制研究。构建多区域能量成本最小化模型,结合数字孪生仿真与物联网实时感知,实现动态优化。引入注意力机制解决多区域协同耦合约束,达成节能。测试显示,新方法能降低能耗,且保障室内舒适度。
To solve the high energy cost problem of indoor heating,ventilation and air conditioning control in smart buildings,remote control research integrating digital twins and the Internet of Things is carried out.Build a multi regional energy cost minimization model,combined with digital twin simulation and real-time perception of the Internet of Things,to achieve dynamic optimization.Introducing attention mechanism to solve multi region collaborative coupling constraints and achieve energy conservation.Tests have shown that the new method can reduce energy consumption and ensure indoor comfort.
作者
岳绚
YUE Xuan(Lanzhou Vocational Technical College,Lanzhou 730070,China)
出处
《智能物联技术》
2025年第4期157-160,共4页
Technology of Io T& AI
基金
甘肃省教育科学“十四五规划”2023年度一般课题(GS[2023]GHB1496)
甘肃省教育厅2024年大中小学课程教材专项研究课题一般课题(GSJC-Y2024185)
甘肃省教育厅2024年全域全员全过程使用智慧教育平台专项研究重点课题(ZHPT[2024]ZD060)。
关键词
数字孪生
智慧建筑
暖通空调
室内
物联网
digital twin
smart building
heating,ventilation and air conditioning
indoor
Internet of Things
