公开(公告)号：US20240280286A1

公开(公告)日：2024-08-22

申请号：US18681136

申请日：2021-08-06

Applicant: Siemens Schweiz AG

Inventor： Xin Bai ,  Xiao Zhou Zhou ,  Tian Rui Sun

IPC: F24F11/64 ,  F24F11/74 ,  F24F11/80

CPC classification number: F24F11/64 ,  F24F11/74 ,  F24F11/80

Abstract: Various embodiments of the teachings herein include a dynamic prediction control method for a precision air conditioner. An example method includes: generating a three-dimensional simulation model on the basis of a simulation template according to static information of a hardware configuration and layout of an application scene where the precision air conditioner is located, wherein the three-dimensional simulation model and a static model of the hardware configuration and layout of the application scene correspond to each other; running a simulation on the basis of a dynamic parameter of the precision air conditioner corresponding to the three-dimensional simulation model and establishing a correspondence relationship between the dynamic parameter and a simulation result using machine learning, so as to generate a proxy model; and predicting a temperature distribution and change of the application scene on the basis of the proxy model and real-time dynamic data of the precision air conditioner.