Cloud-based conversion of geographical maps

Engineering projects in every industrial sector everywhere in the world need accurate maps during the tender, design and implementation phases. Almost every civil engineering project requires a resolution of 1 metre or better. This demanding resolution can be achieved through software by applying a Kriging interpolation algorithm to an existing map with a lower resolution, however Kriging interpolation is very compute intensive. Currently, running a project using the Kriging algorithm on PCs for a typical wind farm design with a resolution of around 80 meters can take 4 to 6 hours. The use of HPC could reduce the cases for wind farms to a few minutes of computing, and in other projects requiring even greater resolution to a few hours. The use of the Fortissimo HPC-Cloud in designing the earthworks for a Wind Farm substation has been quantified in a reduction of 88% of direct costs when not using the Fortissimo solution. This is a result from the time reduction of processing the maps (manually) and from the reduction of needed subcontracting in topography campaigns. The cost of staff and of the subcontracted topography studies is significantly reduced. The use of HPC for an engineering company, like SISENER, provides good information with less time spent and a subsequent cost saving during the engineering process. For an ISV as INGECON, small engineering companies such as SISENER wouldn’t buy a software licence to execute only a few projects per year, but can be targeted as customers of a pay per use system as the one designed in the project.