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Compliance Checking Study Of 3D Bridge Engineering Construction Design Based On Knowledge Model

Posted on:2024-01-18Degree:MasterType:Thesis
Country:ChinaCandidate:Y XiaoFull Text:PDF
GTID:2542307097460844Subject:Municipal engineering
Abstract/Summary:PDF Full Text Request
With the empowerment of intelligent technology in China’s infrastructure construction,bridge engineering,as an important part of China’s transportation infrastructure construction,its information transformation has become an inevitable trend of development.As the data carrier of engineering,the quality level of bridge three-dimensional information model determines the application depth and value realization degree of bridge information technology.In order to ensure the accuracy of bridge 3D design results,compliance review of3 D design models has become an important part of the bridge design stage.Based on this,this paper proposes an intelligent compliance check method for bridge design information model,and uses ontology,natural language processing and other technologies to construct a bridge design domain knowledge model and compliance review rule set,and finally realize the automatic compliance check of bridge design model.The main research contents are as follows:(1)Build a bridge design domain knowledge model.Firstly,the text mining of bridge design specifications is carried out by natural language processing technology,a collection of domain terms is established,and the class and attribute creation of the ontology conceptual layer are completed,and the conceptual layer relationships such as attribute definition domain,value domain and constraint relationship are defined according to the canonical semantic logic.Secondly,the underlying data architecture analysis of the Bentley bridge model is carried out,and the model information extraction and standardization algorithm is designed according to the data expression form of the model,and the transformation of the bridge model data to the knowledge model instance data is realized by combining the instance conversion rules,and the creation of the knowledge model instance data layer is completed.(2)This paper proposes a semantic expression method for bridge compliance review rules.The semantic expression in the bridge design specification provisions is complex,especially the existence of different semantic logic describing objects and relationship words.By analyzing the semantic differences of norms,this paper proposes a method to divide the types of censorship rules according to the semantic characteristics of provisions,and then studies the semantic expression forms of each type of censorship rules.Firstly,according to the lexical composition structure of the specification provisions,nine semantic element types are defined,and the semantic annotation of the bridge design specification provisions is realized by combining the BIO annotation method.Based on context-free grammar,syntactic analysis generation is established,and semantic expressions of different rule types are established.Finally,for the SPARQL language architecture that can be recognized by computers,the semantic element mapping mode and rule conversion template are designed,and the construction of SPARQL review rules is completed,which provides reasoning basis for bridge design compliance review.(3)The Sunjiawan Bridge Project was used as an example to verify the compliance review method.According to the relevant bridge design specifications as the knowledge source and review basis,based on the knowledge model construction and semantic expression method,the bridge design domain knowledge model and compliance review rule set are constructed.The Sunjiawan Bridge Information Model passed the automatic compliance check as the review object and output the audit results,and finally realized the compliance review for the bridge design information model.The feasibility of the automated compliance check method proposed in this paper is verified.
Keywords/Search Tags:Automatic compliance checking, Bridge design code, Knowledge model, Ontology, Natural language processing
PDF Full Text Request
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