Research On The Theory, Method And Application Of Architectural Engineering Quantity Information Extracting Based On Drawings Understanding

Computer aided engineering quantity information extracting is still far from the aim after almost twenty years' research, though some extracting methods have been developed and applied in practice, such as "data exchange file" and "drawings input", etc. the key problem is that the existing methods and computer aided architecture design(CAAD) are not well integrated. On the basis of the analysis of its status quo and the problems remained, a new method is put forward in this dissertation. The research has important value of architectural drawing understanding, and it will also promote the innovation and development of project cost management , computer applications in architecture field in depth, and moreover, it will has huge foreground in practice.To realize engineering quantity information extracting based on shop drawings, recognizing diversified functional components in shop drawings based on drawing understanding is essential, which is in fact a method of "engineering drawing computer understanding" or "The 3D Reconstruction" in general. In chapter 2, we analyze shop drawings hierarchically such as projection relation, expression mode and dimension restriction, etc; conclude the main difference between mechanical and architectural drawings, based on it, strategies of knowledge-based engineering drawing computer understanding aim at shop drawings are introduced.One distinct difference between mechanical and architectural drawings is, views, which express one type of functional components, are not in one paper, in general, when all of the views is in the same paper, the methods aim at mechanical drawings such as engineering drawing computer understanding or "The 3D Reconstruction" can be used in architectural drawings. In chapter 3, a method to extract engineering quantity information based on relating views is introduced, understanding strategies of drawing information related to engineering quantity, detailed algorithms and its applied example are also introduced at the same time.Another distinct difference between mechanical and architectural drawings is, the aim of architectural drawing understanding is to recognize one type of the given components, for improving the validity of drawing understanding, reducing the search scope, in chapter 4, the concept of "Engineering Feature Class" is put forward, which is hoped for separating drawings information related to engineering quantity, expressing the drawing information in object oriented mode. Through the analysis of entities in Engineering Feature Class object, notions of Feature Entity and Relevancy Entity are introduced, Relevancy Entity opens out the relations between entities of Engineering Feature Class object; Feature Entity supplies the way in point ofEngineering Feature Class object instantiation.Considering the shape expression modes are more diversiform, dispersed, and complex in shop drawing, many notations in shop drawing contain shape information, also with distinct characteristics, a new method of extracting engineering quality based on notation entities functional semantics is put forward in chapter 5. Characteristics, recognition and engineering extracting methods of the notations are analyzed with an example of steel bars quality, tracking and shape recognition methods of steel bars lines are introduced at the same time.Based on the research work above all, a "CAAD and budgetary-budget integration software system" based on drawings understanding is introduced in chapter 6, including its buildup, structure and main functions, also with some examples, witch testifies the feasibility, validity and advancement of the technology and methods presented in the dissertation.Finally, the development of architectural drawings computer understanding, technology research on CAAD and budgetary-budget integration based on drawing understanding is summarized and the future research work is put forward.