An intelligent maintenance system for public buildings integrating digital twin and large language model
To address the challenges encountered in smart building operations and maintenance based on digital twins,such as complex system operations,difficulties in accessing a vast amount of construction documentation,and limited decision support in complex scenarios,a smart building operations and maintenance system integrating large models and digital twins was constructed.Innovations include efficient retrieval technology for massive information based on Retrieval Augmented Generation,efficient invocation technology for building operations and maintenance services based on large models,and intelligent building adaptation technology based on swarm intelligence.The system was applied and verified in three typical operations and maintenance scenarios.The results demonstrated that integrating large models and digital twins in constructing a public building smart operations and maintenance system aided in providing personalized building operations and maintenance services,enhanced user experience,offered complex decision support,and enabled more convenient,comfortable,safe,and green smart operations and maintenance management for public buildings.
large language modelsdigital twinpublic buildingsintelligent maintenance
万方数据
维普
