Next Generation Mission Critical Control Centre solutions for sustainable decision support
Goals of MARNG are
- to devise concepts for an integrative system architecture allowing for interoperability of heterogeneous sub-systems and legacy systems in a safe and secure way
- to develop novel prediction algorithms for improved collision warning based on physical modes taking into account real-time data about a vessel’s state
- to develop novel algorithms for the prediction of the mid-term behavior of vessels and for the automatic and real-time detection of unusual situations
- to implement a lab demonstrator allowing to demonstrate, verify and validate the concepts developed
During the last 15 years a delta has been observed, in the global implementation of Early Warning Systems for Disaster Risk Reduction and the possibilities modern and future Information and Communication Technologies (“ICT”) could offer to maritime control centres. This can be observed in respect to accident prevention and search and rescue. Due to coastal wide sensor networks the data load has increased exponentially (Big Data) and current system architectures are no longer sufficient to process that data efficiently. The efficiency and usability of these system architectures are further reduced by a heterogeneous setup including legacy systems.
The amount of data provided by those sensor networks in combination with future ICT architectures offers new possibilities for innovative real time data analysis using modern big data concepts. MARNG intends to research new architectural concepts that will offer interoperability, safety and security with sufficient performance. New methods for analysis of data, derived from the big data domain, will drive mission critical decision support for the maritime domain awareness, reducing disaster risk dramatically.
The concept of MARNG offers the opportunity to accomplish the mentioned goals through the use of existing position technologies and the application of the latest Information and Communication Technologies (ICT) to navigation in the maritime and inland sectors. The technology demonstrator will prove the derived concepts for a safer navigation for all vessels while reducing human error, thus acting as another filter in accident avoidance and risk mitigation.
AIT Austrian Institute of Technology