Dynamic barrier management: the right data, at the right time
The objective of SEAMAN is to establish a set of methodologies and recommendations that improve safety and safety culture during operation by means of continuous monitoring and analysis of onboard systems.
The basic methodology for controlling operational risks cover three areas, starting with standards and structured approach which describing vessel functions, systems and barriers. Secondly, ship connectivity coupling the so-called sharp and blunt-end of the operations. The third area addresses shore side data processing and analytics, which enable the ability to process large data sets to accurately predict future events.
When processing large datasets using algorithms, the information about each barrier is then used in different parametric models, making it easier to accurately predict the state of each barrier. Operators are then able to take the necessary action at the right time, and in a targeted way, to restore into a safe state.
Barrier performance monitoring is essential to verify that parameters remain at target levels and identify barrier criticality. Continuous improvement is demonstrated by raising the target level through the improvements in the next design or strengthening of the existing one.
Around 70,000 merchant vessels navigate the global seas. Through establishing a set of methodologies and recommended practices, DNV GL aims to improve safety during ship operation by means of continuous monitoring and analysis of onboard safety systems in general. Implementation of the results of this project will lead to improved safety and reduced incidents over a ship’s lifetime, as well as provide the foundation to help operators build and sustain a strong safety culture.