BIM for Smart Engineering Centre
Jointly established by Cardiff University, Dalian University of Technology, China Communications Construction Company
Jointly established by Cardiff University, Dalian University of Technology, China Communications Construction Company

Prof. Haijiang Li has been consistently working on fundamental BIM research for more than 20 years, shaping a systematic theoretical framework that centres BIM to define a new generation Smart Engineering concept. 

Current decision-making approach used in AEC/O (Architecture, Engineering and Construction, Operation) industry is historically divided by ‘domains’, e.g. (city) planner, policy maker, architect, engineers, construction manager, asset / facility manager etc.; and by ‘stages’, e.g. plan, design, construction and operation, it hence inherently lacks ‘holistic and life cycle approach’ to enable comprehensive and systematic decisions.

The BIM for Smart Engineering vision interfaces between the underlying large-scale smart computing and upper layer broad engineering applications, orchestrating the standardised and digitised data, information and knowledge processing holistically. It uses unified and open BIM to create a smart decision-making core interlinking across domains jointly supported by numerical modelling, simulation, analysis and optimization; novel data analytics and artificial intelligence approaches.

The application is widely applicable for the human built or managed environment, particularly for large-scale urban energy, transportation and water infrastructure; super-complex and significantly important structures; and resilient urban disaster prediction, mitigation and prevention.  

The research focus in this area lies on the fundamental and comprehensive semantics and ontology modelling and knowledge based holistic decision making. 

The combination of Blockchain and the Internet of Things (IoT) has appeared as one of the most exciting use cases for the technological era.  

The research focus in this area lies on the super large-scale high-performance engineering computing, coupling with semantic and ontology based pre-processing linking to the related domain knowledge, machine learning, big data processing and smart optimization algorithms.

The research focus in this area lies on the domain data, information and process standardization across different sectors throughout life cycle, and especially for the knowledge-based information exchanging requirement for smart collboration and holistic decision making.

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