Research And Implementation Of Engineering Quantity Extraction And Analysis System For Specific Industry

In Real-estate industry fields,common applications are generally oriented to consumers.With the advance of industrial chain digitization,more and more kinds of data are processed by enterprise users in Central Taiwan,and their demands for data analysis tools are becoming clearer and clearer.With the rapid growth of business data volume,manual work pressure caused by processing data in the industrial chain is increasing.When managing decoration projects’ data,with the rapid growth of business data volume,manual data processing is a huge amount of work,and time-consuming,high degree of work repetition,and it is impossible to quickly learn the internal law of data.Based on the machine learning method and model integration strategy,a multi-model linkage control based on text-classification algorithm was proposed.Also,a well-designed interactive intelligent engineering category analysis system is implemented to provide efficient and high accuracy engineering category-classification feature.Besides,the house drawing is an important reference in the construction and decoration engineering,as well as an important medium of information expression for the design team and construction personnel.Information analysis of engineering drawings depends on professional software and repetitive work of professionals.Moreover,the structure of engineering drawings is complex and the drawing standards are not unified,so it is difficult to carry out general analysis through existing algorithms.To solve this problem,based on the research of image morphology processing and artificial intelligence,in this paper,an innovative spatial structure analysis algorithm for house type drawings was proposed.Through the analysis of drawings and images,the interior area is confirmed and components are identified,which built underlayer functionality for the determination of the quantity and cost of the decoration project.Computer processing CAD electronic drawings are getting extensively used in all walks of life,therefore identify drawings does stand for a more significate role.Proved by the experimental results,the proposed model is more comprehensive text categorization algorithm which can effectively solve the renovation category classification encountered a massive issues,include tabbed text classification accuracy issue,progressive hierarchical classification system design issue,problems such as how to adapt new data to the old model,this kind of issue has universality in tags more text classification task;The performance of spatial structure analysis algorithm has certain advantages comparing with other ones,and it can effectively calculate the area of spatial structure analysis dataset.