Intelligent Data System For Architectural Heritage And Its Knowledge Generation

Historical buildings are carriers of historical and cultural heritage,embodying the excellent traditional culture of China for five thousand years.They have a profound historical heritage.Scientific and effective protection of architectural heritage has been a policy advocated by the country for the protection and inheritance of historical and cultural heritage.However,with the rapid development of technology,traditional protection methods no longer meet the requirements of society for the protection of architectural heritage.At the same time,with the continuous development of big data technology and algorithms,we have the opportunity to dig deeper into the laws and values behind data,thereby providing more scientific,accurate,and efficient support for decision-making and judgment.The arrival of the big data era has also opened up new ideas for the protection of architectural heritage,integrating historical buildings into a new intelligent digital era.Driven by big data,there is an increasing demand for digital development in the protection of architectural heritage,shining with new vitality and vitality.The value contained in architectural heritage also has the opportunity to be greatly unleashed.Protecting architectural heritage is not only a requirement and expectation of national top-level policies,but also a protection of cultural heritage.It provides a rich resource foundation for the inheritance and promotion of Chinese regional culture,and has important practical significance.With the rapid development of science and technology,how to seize the opportunity of the big data era,use digital means to discover and explore the enormous value of architectural heritage,and achieve scientific protection and correct utilization of architectural heritage has become a problem that we need to solve at present.This research is based on the interdisciplinary research idea,through the collection and collation of the big data of architectural heritage and the analysis of the components of the architectural heritage data system,to build a protection system of architectural heritage intelligent data based on the knowledge map,smart data,meta model theory and image recognition methods,including HBIM database,architectural heritage knowledge database,and architectural heritage knowledge map.(1)This paper classifies the collected multi-source heterogeneous data into unstructured data,semi-structured data and structured data;According to the classification of architectural heritage types,the data is classified into historical architectural relics,historical archives(in the form of letters,pictures,newspapers,etc.),and literature data.(2)The HBIM database utilizes machine vision based object detection methods for intelligent modeling of architectural heritage,and constructs an HBIM database based on metamodel theory,achieving a combination of machine vision and parametric modeling;The architectural heritage knowledge database is a data storage model based on the Neo4 j graph database,which includes four steps: data acquisition,data cleaning,information extraction,and knowledge storage.It is the foundation of the architectural heritage knowledge graph;The knowledge graph of architectural heritage includes the ontology of architectural heritage and the humanistic data information involved in architectural heritage,providing the possibility of mining knowledge and generating intelligent data.It is the main component of improving the intelligent data system of architectural heritage.(3)The study validated the construction process of the intelligent data system for the architectural heritage through two examples: the South China Education Historical Site and the Dong ethnic group’s Dou style Drum Tower.Among them,the collection and extraction of various related data materials,storage of knowledge databases,and construction of knowledge graphs for architectural heritage were verified through the case of "South China Education Historical Site".The construction of the HBIM data base for architectural heritage and the construction of its architectural knowledge ontology were also verified through the case of "Dong Ethnic Wearing Drum Tower".(4)Finally,from the perspective of knowledge generation,the constructed architectural heritage smart data system is scientifically applied with smart data.The collected literature data is used to analyze the trend hotspots in the field of "South China Education Historical Sites" based on Citespace bibliometric analysis tools,as well as semantic query analysis of the knowledge graph of "South China Education Historical Sites";Based on the Dong Drum Tower Meta Model Library,reasonable knowledge mining is carried out to generate a specific Dong Drum Tower HBIM model,the spatial positioning and identification system of the Drum Tower,and the topological relationship of the Drum Tower.