With extensive application of building information modeling(BIM),vast BIM model resources have accumulated from both new and existing projects.Digital twins,a key application of these models,face two main challenges:e...With extensive application of building information modeling(BIM),vast BIM model resources have accumulated from both new and existing projects.Digital twins,a key application of these models,face two main challenges:exponential growth in geometric and attribute data,risking data explosion,and low data utilization due to insufficient semantic association among multi-source data across projects and domains.This paper addresses the challenge of reducing system complexity via scenario-driven methods while achieving deep semantic integration of cross-domain BIM data.It proposes an ontology-based“Digital Theater”framework that defines data boundaries based on scenario requirements and employs dynamic trimming strategies to reduce complexity.By combining a simplified data standard with a multi-domain fusion ontology model,the framework constructs scenario-based data integration rules for semantic alignment.An adaptive relational database with object storage design further supports efficient engineering data storage and utilization.The proposed method significantly reduces the complexity of data processing,enabling the integrated application of multi-domain data at a lower cost while enhancing the decision-support capabilities of BIM data.This framework demonstrates potential for application in diverse scenarios,supporting engineering digitalization and smart city development.展开更多
As low-altitude airspace becomes increasingly accessible and eVTOL(electric vertical take-off and landing)technologies advance,the low-altitude economy has emerged as a transformative frontier in urban mobility and in...As low-altitude airspace becomes increasingly accessible and eVTOL(electric vertical take-off and landing)technologies advance,the low-altitude economy has emerged as a transformative frontier in urban mobility and industrial restructuring.Although countries face comparable technological opportunities,their development paths diverge significantly.This divergence is shaped not only by policy choices and innovation capacity but also by underlying differences in institutional architectures,resource configurations,and implementation mechanisms.This paper proposes a Development Path Evolution Model grounded in four structural elements:technological capability,institutional systems,infrastructure,and application scenarios.Based on this framework,the study identifies three archetypal path types(technology-led,institution-led,and scenario-driven)and empirically validates the model through comparative case studies of the United States,Europe,and Japan.Applying the model to China reveals a distinct"hybrid scenario-driven path",characterized by demand-responsive pilots,decentralized institutional flexibility,and strong engineering capacity.Using Shanghai as a representative case,the study outlines five strategic levers to guide its transition from a localized pilot zone to a platform-based governance hub with national and international relevance.The research contributes to theoretical understanding of path differentiation in emerging industries and provides actionable insights for developing economies with strong mobilization capacity and industrial ecosystems.展开更多
基金supported by the National Key Research and Development Program of China“Comprehensive Application Demonstration of Self-developed BIM Platform in the Full Life Cycle of Engineering Construction”(Grant No.2024YFC3809700)。
文摘With extensive application of building information modeling(BIM),vast BIM model resources have accumulated from both new and existing projects.Digital twins,a key application of these models,face two main challenges:exponential growth in geometric and attribute data,risking data explosion,and low data utilization due to insufficient semantic association among multi-source data across projects and domains.This paper addresses the challenge of reducing system complexity via scenario-driven methods while achieving deep semantic integration of cross-domain BIM data.It proposes an ontology-based“Digital Theater”framework that defines data boundaries based on scenario requirements and employs dynamic trimming strategies to reduce complexity.By combining a simplified data standard with a multi-domain fusion ontology model,the framework constructs scenario-based data integration rules for semantic alignment.An adaptive relational database with object storage design further supports efficient engineering data storage and utilization.The proposed method significantly reduces the complexity of data processing,enabling the integrated application of multi-domain data at a lower cost while enhancing the decision-support capabilities of BIM data.This framework demonstrates potential for application in diverse scenarios,supporting engineering digitalization and smart city development.
文摘As low-altitude airspace becomes increasingly accessible and eVTOL(electric vertical take-off and landing)technologies advance,the low-altitude economy has emerged as a transformative frontier in urban mobility and industrial restructuring.Although countries face comparable technological opportunities,their development paths diverge significantly.This divergence is shaped not only by policy choices and innovation capacity but also by underlying differences in institutional architectures,resource configurations,and implementation mechanisms.This paper proposes a Development Path Evolution Model grounded in four structural elements:technological capability,institutional systems,infrastructure,and application scenarios.Based on this framework,the study identifies three archetypal path types(technology-led,institution-led,and scenario-driven)and empirically validates the model through comparative case studies of the United States,Europe,and Japan.Applying the model to China reveals a distinct"hybrid scenario-driven path",characterized by demand-responsive pilots,decentralized institutional flexibility,and strong engineering capacity.Using Shanghai as a representative case,the study outlines five strategic levers to guide its transition from a localized pilot zone to a platform-based governance hub with national and international relevance.The research contributes to theoretical understanding of path differentiation in emerging industries and provides actionable insights for developing economies with strong mobilization capacity and industrial ecosystems.
