基于本体的站城融合立体网络空间语义建模OA

Station-city integration cyberspace behaves as an interdisciplinary field of intelligent transportation and smart city,also a representative scenario in the architecture,engineering and construction(AEC)sector.Due to the growing demands in data integration research,the intelligent operation and maintenance(O&M)of the station-city integration cyberspace need to implement semantic ontology,which is suitable for semantic web construction.To achieve semantic information fusion of multi-source heterogeneous data,and clarify the decision-making role of various types of data on specific operational goals,based on the deployed sensor network,a semantic ontology model construction framework for station-city integration cyberspace O&M was proposed.To verify the effectiveness of the model,a case study of the inbound passenger flow at a subway station was conducted.The experimental results showed that the proposed framework could effectively formalize,integrate,and retrieve information within the station-city integration O&M scenario,providing powerful and intelligent data support for intelligent operation and maintenance.