Hundreds of parameters can influence a coating and a cleaning efficiency. Only Big Data can help and find patterns for any given type of operational profile.
Data Input
We work with maritime companies to find data where it is available in high quantity and quality. A preliminary list includes the following parameters.
In a pragmatic way, the scope can start on a small number of parameters and grow over time. The participation of diving services and coating providers to OpenHull enables to make the data flow fluidly.
Standardization of data between stakeholders will be addressed over the long run.
Statistical analyses
The first data analyses will be statistical information about the observed efficiency of a given protocol (Anti-Fouling System and cleaning strategy) depending on the operation of the vessel.
Recommendations at dry dock
AI and big data will gradually enable maritime companies to generate personalized Coating advice and Biofouling Management Plans.
Predict Fouling
Available data and AI power will also enable to estimate the biofouling rate of any vessel.
Raw Data Output
Anonymized raw data will also be available for internal use by the shipping companies through APIs
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OpenHull 