Research On Theory And Method Of Architectural Programming Based On Big Data

With the development of Internet,cloud computing and Internet of things in the information age,the amount of data in every industry is growing at an unprecedented speed.Traditional data statistics and analysis methods have been unable to cope with large amount of the structure and non structural data known as the PB unit,thus giving birth to big data technology.Various types of data such as survey data,design data,construction data and operation data are generated in the architecture,engineering,construction(AEC)industry during the full life circle of one building.However the resources in AEC industry are not allocated and integrated with the massive multi feature data and online data has not attracted enough attention,causing negative impacts on the architectural programming,design,construction and operation process.How to integrate these big data and promote the transformation and development of the AEC industry through data analysis and data mining,more importantly how to make a reasonable and correct decision-making in the architectural programming phase has caused recent concern.Considering this,big data techniques are applied in this thesis to promote the innovation of architectural programming using data acquisition,analysis,feedbac k and evaluation technology.This research is carried out from three aspects.Firstly basic theory of architectural programming based on big data is built,which expounds the meaning and the core of the architectural programming based on big data,and clar ifies its general characteristics: comprehensive planning data,diversification of objectives,intelligent planning analysis and dynamic planning process.Then principles of architectural programming are discussed.They are data visualization,cross validation,flat system and the combination of computer aided decision making and real state investigation.Finally the procedure and methods of architectural programming based on big data are proposed.Then the architectural programming data acquisition process is discussed based on big data.Data sources related to construction projects include three types: network data,facility data and local data.From the perspectives of building process,data are categorically into three aspects: function,form and economy.In the storage system,interdisciplinary study is discussed.Combined with the most widely used ecological circle Hadoop and building information model BIM,the architectur al programming based on big data storage system is built.Finally,the acquisition and analysis of architectural programming data based on big data are introduced.After obtaining the corresponding architectural programming big data,the analysis is mainly based on three aspects,namely: the semantic analysis of the user needs,spatio-temporal data association matching and dynamic data real-time monitoring.After the preliminary results of the correlation analysis,architects finally make a reasonable and correct decision.In essence,architectural programming aims to solve the problem in the practice of architectural design so that reasonable decision can be made according to this.Based on the proposed theory and big data acquisition,storage and analysis technology,it can provide guidance for the site planning,external image planning,space planning,technology planning and economic planning during architectural programming process.Besides,it has a great meaning to promote the computer intelligent decision-making for architectural programming under the information age.