A Data Model for Engine Laboratory Measurements

Abstract

Marine engine tests in laboratory creates tens of thousands data for each test run, which are then stored and used to analyze and improve engine performances. The implementation of more flexible, lighter and precise database would improve the data analysis and traceability enabling more precise understanding and simulation of engine behavior. As a matter of fact in the last years, automotive industry has been deploying similar databases in its testing procedure, and established a standardized approach for these solution, named ASAM ODS.

The main purpose of this thesis work has been creating the data model, more specifically the UML map, of the future database based on ASAM ODS standards. The work has involved the collection of the information about current data acquisition, storage and control inside Wärtsilä company and the shaping of the data model based on these assumptions. The resulting data model has been described and commented, justifying the choices taken and highlighting the benefits of the solution proposed.