Omnivise for Offshore offers a layered information model starting on the top with aggregated information related to the equipment constellation and context, e.g. switchboards or drive trains, offering a status summary tailored to reflect the user’s role, responsibility and workflow. The user will be able to drill down for more detailed information in standardized detailed dashboards for most common equipment types where experienced professionals will be able to consume and understand the aspects of health and performance for a given equipment.
In the event there is a need to custom build special purpose analytics, whether it will be machine learning models, physics models, rule-based models or others, they will be able to run in an integrated way with our solution, being developed by Siemens Energy or others. This is achieved by hosting the analytics in a specially designed analytics framework connected to the O4O platform through data contracts.
Our concept is deigned on a modular architecture utilizing data contracts also for our internal communication between services. This allows us to update services without braking changes in most cases meaning it allow you to upgrade the solution with little or no downtime to keep the solution “evergreen”.