Research On BIM Model Extension Technology Of Bridge Structure Based On Semantic Ontology

Bridge detection and monitoring is the main methods to guarantee the safe operation of bridges.In the process of bridge detection and monitoring,a large amount of operation information is formed,which makes the efficient retrieval of bridge maintenance information and the discovery of maintenance knowledge a great challenge.In the field of bridge maintenance,how to organize the information of bridge maintenance efficiently and realize intelligent retrieval and knowledge reasoning is the research hotspot.In this paper,BIM(Building Information Model)and semantic ontology technology are used to construct the knowledge map from the structural information model,so as to realize "BIM Model?extended attribute(detection and monitoring)?knowledge map?intelligent Information retrieval and knowledge discovery".The specific research contents are as follows:(1)Extending the definition of bridge strcuture and mantiance information in IFC and expressing the bridge entities to realize the integration of bridge mantiance.Based on the analysis of IFC expression pattern and extension machanism,combining the bridge division method,the IFC based structure model is constructed.By using the pre-defined property set extension method,the detection information,the monitoring information and the mantiance information is extended.(2)analyzing the characteristics of EXPRESS and OWL language,and propose the information conversion mechanism of the IFC to OWL to realize the mantiance information ineraction from BIM model to ontology model.Firstly,the necessity of IFC to OWL transformation was analyzed,the IFC to OWL mapping framework was constructed,and then the transformation rules of entity types and data information were defined.Finally,we use the research results of related fields for reference to realize the transformation from IFC to OWL.(3)With Protégé software,the domain ontology is modeled based on the top-down approach and the seven-step method is adopted to construct the domain ontology of Bridge Maintenance.Firstly,the construction method of ontology model is analyzed,and the core concept classes of domain ontology are determined by combining the information characteristics of the bridge maintaenance domain.Then,the OWL ontology obtained through mapping is modified to extend the subclasses and relationship properties of the core local ontology.Finally,consistency detection was carried out on the ontology model of bridge management domain with the logic axioms of OWL to verify the semantic and grammatical consistency of the ontology model.(4)Based on a continuous rigid frame bridge in Yunnan Province,information retrieval and knowledge reasoning of Bridge Maintenance domain ontology are realized.Firstly.in Protege software,examples of the bridge maintenance information are constructed from three core local ontologies and visualized.Then,the intelligent retrieval of bridge maintenance information is realized with SPARQL,according to the definition of the semantic relationship between the maintenance information and the structure.SWRL language was used to define the inference rules,and JESS inference machine was combined to realize the knowledge inference of bridge structure type,monitoring warning level and cause of disease.Moreover,expert knowledge was used to verify the correction of the inference results,and the correct rules were integrated into the knowledge base of bridge maintenance field.Aiming at the research direction of information Intelligentization in bridge maintenance field,combined with BIM model extension technology,this paper propose a bridge maintenance of knowledge retrieval based on semantic ontologies and reasoning technology.This research realized the intelligent retrieval of bridge maintenance imformation and the construction of ontology knowledge base.Meanwhile,it proviedes a new way for the intelligent development of bridge maintenance field.