基于改进的粒子群优化算法的暖通空调制冷机房BIM自动优化布置方法
BIM automatic optimization layout method for HVAC refrigeration rooms based on improved particle swarm optimization algorithm
摘要：
采用结合Revit API和MATLAB的编程模式,对Revit平台进行了有效的二次开发,从而实现了暖通空调制冷机房设备的自动化布置设计,不仅有效地实现了设备布置方案的自动生成,还支持了布置方案的预览与验证,显著提高了设计效率和准确性。该研究的创新之处在于成功将粒子群优化算法与BIM技术相结合,为暖通空调系统的自动化设计提供了新的视角,并验证了BIM在暖通空调领域正向设计中的应用潜力。
Abstract：
By using a programming mode that combines Revit API and MATLAB, an effective secondary development on the Revit platform is carried out, thereby achieving automated layout design for equipment in HVAC refrigeration rooms. This not only effectively generates equipment layout plans, but also supports preview and verification of layout plans, significantly improving the design efficiency and accuracy. The innovation of this research lies in a successful combination of particle swarm optimization algorithm and BIM technology, providing a new perspective for automated design of HVAC systems and verifying the application potential of BIM in forward design in the HVAC field.
Keywords:BIM forward design; heating ventilating and air conditioning (HVAC); refrigeration room; particle swarm optimization algorithm; automation; secondary development