| The maintenance of the historic building requires knowledge of system construction and reuse.The maintenance knowledge of the historic building is comprehensive and targeted,but most of the experience is provided by a few experts.With the rapid development of building information modeling(BIM),success has been achieved in the visualization of historic buildings,which can facilitate the maintenance and management of historic buildings.In recent years,research on the combination of ontology and BIM to promote BKM(building knowledge management)has begun to rise,playing a role of structured organization and reuse of knowledge in various industries.However,BKM has fewer applications in the historic building,and there has been less discussion of its connection strength.The connection strength of knowledge mapping can improve the performance of knowledge retrieval.Therefore,this study aims to establish the connection between the historic building maintenance ontology and BIM,and propose a knowledge mapping method based on cloud model to evaluate the connection strength.In this study,FMEA was used to connect the ontology with BIM,and the gray connection analysis method was used to evaluate the connection strength.At the same time,the cloud model is integrated into the FMEA to better deal with the uncertain information disease assessment and improve reliability.A complete historic building maintenance management system framework proposed in this study mainly includes the following research work:(1)According to the existing historic building maintenance materials,a historic building maintenance knowledge base was created.(2)The risk assessment method of FMEA was adopted to complete the disease risk assessment of historic buildings according to expert opinions.(3)The cloud model algorithm,grey relational distance function and Minkowski distance function were used to complete the disease risk ranking of the cultural relic building components,and the ranking results were further written into the cultural relic building maintenance knowledge base to complete the mapping relationship between the HBIM model and the historic building maintenance knowledge ontology.(4)Based on the data results,this paper introduces the methods and steps of building a demonstration prototype platform for the operation and maintenance management of historic buildings in this study.(5)Use a practical engineering case for case verification and system feasibility analysis. |
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