Transas has launched a package of applications that utilises machine learning technology to reduce the potential for human error across the vessel operation chain.
The suite’s algorithms detect anomalies in the behaviour of human operators and raise the alarm before the consequences of a course of action, or a momentary attention lapse, become irreversible.
The first version of the company’s A-Suite package is made up of three core modules: Advanced Intelligent Manoeuvring (AIM), Advanced Intelligent Diagnostics (AID), and Advanced Intelligent Routing (AIR).
AIM is a track prediction and anti-collision support tool designed to enhance situational awareness while reducing the probability of inattention or poor judgement resulting in an incident.
The AID module is designed to detect anomalies in manoeuvring patterns, including speed and rate of turn, as well as track unexpected changes in fuel consumption.
AIR creates a platform for voyage planning and optimization based on an extensive set of parameters. The application tracks real-time metocean and performance data and accounts for the impact of vessel traffic along a given route.
In addition to the crew working on board ships, the benefits of A-Suite will be available to personnel managing VTS systems and those running shore-based fleet operational centres or training facilities, allowing them to participate in real-time decision support and voyage analysis.
"When we first started to envisage how ships would be operated in the future, we realized there would be much greater collaboration between ships, back-offices, traffic control centres, etc. With A-Suite we set out to build a set of intelligent decision support tools for working in this shared environment," says Transas CEO Frank Coles.
A-Suite is the first package of applications built on THESIS, a unified cloud-based platform for managing operations across the marine ecosystem. The three core modules are now available to end users and will become operational over the coming months.