At SPAR 2013 Dennis Rodriguez, Project Manager at Denver International Airport (DIA), and Daniel Stonecipher of Immersiv, gave a fascinating presentation on how they combined a BIM-based design and construction process with GIS  to create a facilities and operations management (FM/OM) solution for managing DIA’s infrastructure.

DIA is a small city and managing its infrastructure involves many of the same probelms that utilities and municipal governments have to deal with.  As-builts are unreliable or not existent,  which meant that DIA really didn’t know reliably where their assets were.   DIA has nine million CAD files which meant a major data management problem.  Their maintenance program  was dysfunctional because they didn’t have the information they required to rationalize it with a data-driven process.  They had a lot of redundant data because of silos of information in different departments using different applications.  The most important impact of all of this was subjective decision making during the budget planning process, characterized by the so-called HiPPO (highest paid person’s opinion) problem.

Their ultimate goal was data driven processes that supported predictive maintenance and objective metrics for decision making especially in prioritizing projects during the budgeting process.

The way they addressed this was by a combination of data normalization and business process rationalization.  The swiitched to an integrated building information management (BIM) design and construction process that produced a normalized data stream.  During design and construction the data that was required for facilities management and operations (FM/OM) was collected.  This involved collecting and validation existing data and developing continuous data and process management.  The result was FM/OM ready BIMs (both horizontal and vertical) and current relational data structures.

A critical aspect of their solution was that all data including BIM models was geolocated, which  made it possible to load all the data into a GIS linked to Maximo.  Geolocating all their facilities made it easy for them to organize maintenance work on different types of infrastructure concurrently, so that they could excavate once for multiple utilities rather than different crews reexcavating at the same location multiple times.

Dennis and Daniel said that a number of airports are interested in DIA’s solution.  I would expect that universities, municipal governments,  and anyone who needs to manage infrastructure in a campus or municipal environment would find DIA’s solution worthwhile investigating.