MAC URISA 2016

High spatial resolution point-cloud data from a terrestrial laser scanner (TLS) can provide minute geospatial details about civil structures. Laser-based surveying and mapping technologies provide all types of geometric tolerances and spatial resolution that facilitates a much easier way of accessing all aspects of geospatial dimensions, location, and connectivity of civil infrastructure assets of an organization. We developed a 3D walk-through computer-aided drafting (CAD) model of a small building. We establish an asset information management system from maintenance records that were accumulated over several decades. Decision making is enhanced through analysis of key indices that describe asset component performances. Hence, we develop key performance indicators (KPIs) that quantify critical success factors for the building’s maintenance program. We demonstrate the interlinkage between the CAD model and the asset database management system. We demonstrate the use of KPI’s in the support decision system in regards to controlling management/maintenance issues. We also describe the field procedures for acquiring mapping data, the computational algorithms for conversion from point-cloud to CAD model, and the general framework for a CAD-DBMS decision support system.