
Shipping Technology and Simwave/Transafe have joined forces to reduce nautical incidents in inland shipping.
On 14 February 2020, Remco Pikaart (Founding Partner, Shipping Technology) and Marcel Kind (Managing Director of Simwave and Maritime Advisor at Transafe) signed a cooperation agreement to further enhance safety in the sector.
With the innovative hardware and software of Shipping Technology, artificial intelligence is applied to convert inland shipping data into smart applications. This technology supports daily onboard operations and enables safer sailing routes, more efficient fuel use, and predictive maintenance.
Marcel Kind: “Thanks to the unique technology of Shipping Technology, we are now even better able to prevent nautical incidents. Should an incident occur, Transafe investigators can analyze it and load the anonymized data into Simwave’s simulators for further research and training. This represents a unique and complete approach for inland shipping.”
Remco Pikaart adds: “Transafe is the market leader in inland shipping when it comes to safety. Through this partnership we can further explore how Shipping Technology can add value for customers using nautical data. The goal is to support captains and fleet owners not only in safer nautical operations but also in maintenance and other key processes onboard.”
The collaboration results in a product and service package that significantly reduces risks during operational activities on inland vessels. This package includes:
Integration with MARAD
on vessels using Shipping Technology’s Black Box Pro, a connection will be established with Transafe’s MARAD maintenance software. This ensures the system is automatically updated with the latest onboard data, enabling more effective maintenance and predictive upkeep. This delivers significant cost savings for vessel owners.
Simulator training
Shipping Technology’s data will be used in Simwave simulators to analyze optimal sailing routes on specific river stretches and to provide captains with even more realistic training.
Incident investigation
historical and anonymized data of collisions, near-misses, and groundings will be analyzed to determine exactly what happened. Using simulation technology, it will then be assessed to what extent the incident could have been prevented. These insights make it possible to develop even more effective training programs.