Intelligent detection method for BIM geometric model based on GIS

Abstract

The invention discloses an intelligent detection method for a BIM geometric model based on a GIS, and the method comprises the steps: taking one coordinate of a component primitive as a search index to help to recognize the component primitive and an adjacent primitive, detecting a point set collection mode of the primitive and the adjacent primitive, enlarging the range of a point set at a boundary when the point set is not enough to meet the detection, and reducing the distance between points, so that the detection is more accurate. The subsystem is detected as a primitive group, and the relation between a detection component primitive and an adjacent component primitive is judged by using an intersection mode of a detection body in a feasible region of the detection component primitiveand an infeasible region of the adjacent component primitive of the detection component primitive. According to the scheme, a judgment mode for judging whether the intersection result of the detectioncomponent primitives and the primitives adjacent to the detection component primitives is correct or not and a detection mode for re-judging when the judgment is not clear are provided. When uncleardetection occurs, expanding the range of the selected point set by using an eight-bifurcation method of the BIM three-dimensional primitives so as to obtain a more accurate detection result.

Description

technical field [0001] The invention belongs to the field of architectural software, in particular to an intelligent detection method of a GIS-based BIM geometric model. Background technique [0002] Large-scale BIM (building information modeling) models usually involve multiple industries such as architecture, structure, plumbing, electromechanical, etc., and often contain thousands of components (such as doors, walls, columns, etc.). From the design to the use of these components, there will be interference errors and even major mistakes. About 40% of defects in BIM are related to errors in the design process. [0003] Mistakes or errors in the BIM model can be corrected through detection. Existing detection methods for large-scale BIM models are commonly used, such as Solibri Model Checker (SMC), Autodesk Navisworks, or Tekla BIMinsight (Hjelseth, 2015). SMC is based on Java and is verified in the data format of IFC (Industry Foundation Classes). VCCL (Visual Code Che...

AI Technical Summary

Problems solved by technology

The compliance detection of BIM models still faces challenges such as heterogeneous information models and semantic gaps, automatic interpretation and opening of rules, flexible sharing, complex spatial relationship analysis, and large-scale reasoning.

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