Automated Evaluation of Indoor Dimensional Tolerance Compliance Using the TLS Data and BIM

As commercial residential building prices are getting increasingly expensive, whether the dimensions of building components to be delivered conforms to the design codes is significantly important to the owner. However, the current dimension assessment is still manually conducted with field measurement, which is error-prone and time-consuming. To improve the assessment efficiency and accuracy, this study presents an automated geometric quality assessment technique which measures the dimensions of indoor components by means of the terrestrial laser scanning (TLS). The point cloud data obtained by the TLS is reversely reconstructed into a three-dimensional model, representing as-built model of the building. Building information model (BIM) stores rich geometric information, which represents as-designed model of the building. Then, “Scan-vs-BIM” systems, which are based on comparing the as-built point cloud model with as-designed BIM models, can effectively detect the dimension discrepancy of indoor components and provide decision-making basis for the local detection. Experiments using the commercial residential building are conducted and the result that the presented method can effectively and accurately evaluate the building dimensional tolerance compliance.