摘要
为解决基于数字孪生的建筑智慧运维面临的系统操作复杂、海量建设文档信息难以查阅、复杂场景决策支持弱等问题,构建了融合大模型和数字孪生的建筑智慧运维系统,创新了基于检索增强生成的海量信息高效检索技术、基于大模型的建筑运维服务高效调用技术、基于群体智能的楼宇智能调适技术等,在3类典型运维场景进行了应用验证,表明融合大模型和数字孪生构建的公共建筑智慧运维系统,有助于提供运维个性化服务、提升用户体验、提供复杂决策支持,实现更便捷、更舒适、更安全、更绿色的公共建筑智慧运维管理.
Abstract
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.
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