A global engineering, technical and business services organisation, was commissioned by a British ship operator to analyse fuel consumption. The operator required a software-based solution that could ingest high-frequency sensor data in real-time, provide on-board analytics and bespoke visualisations, scale rapidly across the operator's fleet, and be delivered as a low-cost service.
Marine vessels are retro-fitted with sensors that produce massive amounts of data at different frequencies and output in different formats. The data is manually retrieved in batches once the journey is completed and analysed using legacy tools like Matlab. After a few weeks, a hardcopy PDF report is produced. Ship operators have to wait to access this sensor data, which limits their ability to optimise fuel consumption and results in increased cost.
QiO teamed with its client to build and deploy an end-to-end data ingestion, visualisation, and correlation solution in just 4 weeks. The mobile responsive web application was deployed in a secure cloud environment and provides the ship operator with drag-and-drop, dynamic dashboards and customisable charts based on real-time sensor data. More than 45 million data points across approximately 3 million rows from 50+ channels streaming in at 20kHz were ingested, standardised, augmented with external data sources, calculated and visualised.
The client delivered a solution to the ship operator that is reusable, helps to detect anomalies, and relates those anomalies to historic, current and predictive insights for a single ship or across the entire fleet. The easy-to-use application has demonstrated it can improve fuel efficiency and save hundreds of thousands of dollars, per ship, per year.