January 14, 2019
The focus of DIMECC D4V program has been on door-to-door supply chain which is under digital disruptions and is rapidly changing towards an ecosystem of fully autonomous system-of-systems. The program has worked on autonomous maritime and manufacturing logistics use cases. The research work has been facilitated through joint pilots and concepts. Those concept themes have been called as integrated data flow, local & remote operation excellence, and fully autonomous operations.
In the DIMECC D4V program, Rolls-Royce, the University of Turku and Aalto University studied regulations related to international seafaring and their revision. Regulations need to be revised when unmanned ships are being designed. Fully or periodically unmanned bridges are the first steps towards an unmanned ship whose operations are handled by remote operating centres situated on the coast.
The regulation and insurance environment inevitably needs to change with the new ships. This is why the University of Turku together with Rolls-Royce studied different insurance models for ships in the DIMECC D4V program. They studied the effects of autonomous ships on liability regulations and risk management.
The ship’s operation is secured through good connectivity and cyber security. In the D4V program , Rolls-Royce has tested the Rapid Detection Service software by the cybersecurity company F-Secure.
In the D4V program, F-Secure has participated in supporting the automatisation of shipping and its data security by utilising things such as its data security work experiences in the aviation industry.
The world’s first autonomous discharging bulk cranes, developed during the D4V programme, have now reached their final development stages. The MacGregor cranes have now been fitted on board ESL’s two new 25,532 dwt bulkers, Viikki and Haaga, deployed for service on the west coast of Finland in late 2018. The autonomous discharging features will soon be ready for commercial trials.
In the program Meyer’s Turku shipyard has been experimenting with transmitting and storing sensor data using the data transfer solution by the Oulu-based KNL Networks. Data can then be stored into Wapice’s IoT-Ticket storage service from all the seas in the world efficiently and affordably.
During the D4V program, it sought new solutions to combine different players into the ecosystems, using cloud, IoT and edge computing. For example, during the operational phase, an autonomous ship is under the control of a fleet operator, but multiple system users can use its sensors and data. This would mean a new data-sharing ecosystem in the maritime industry.
SSAB’s SmartSteel application allows a customer to identify products, check the properties of the materials, download material certificates and send feedback. A technology was developed during the DIMECC’s D4V program that, using machine vision, allows recognition of a product in the customer’s premises. The D4V program involved things like the development of image recognition using neural networks. In practice, steel sheets are identified through image recognition. The numbers and characters are read from the surface of the steel using machine vision.