Technology
dRSCAN™
Overview
dRSCAN is Dravam’s AI-augmented data analytics platform, which shall be implemented onto Dravam’s product offering, currently to the bunkering and shipping sectors. dRSCAN is built on over 7 years of research into multiphase flows and flow pattern recognition algorithm, to detect and analyse contaminants in marine fuel oils during flow in pipelines. dRSCAN’s algorithms have undergone rigorous training, under controlled testing conditions in Dravam’s lab facility and also have been benchmarked against lab test reports from fuel testing laboratories.

-
1. Scanner Dashboard
Batch analysis of fuel flowHigh fidelity estimation of contaminantsAmount of fuel that has contaminationAlert Notification of off-spec -
2. Datalog Dashboard
Log of the processed dataAccuracies and probability of estimates are includedAnomaly reportsAccessible to ship’s operational crew and ship managementDatabase of fuel bunkered -
3. Insights Dashboard
Analysis of bunker fuel qualityProfile the fuel bunkered during loading and deliveryTypes & quantity of contaminantsTraceability of contamination -
4. Prediction Dashboard
AI based prediction, trained on deliberate contaminationProbability of the blend (Sludging & Depositing wax)Estimating shelf life of fuel
Value Proposition
Detect & Deter Bunkering Anomalies
dRSCAN shall facilitate automated detection of anomalies in fuel quality, such as excess water or high sludge content. The method is aimed at eventually deterring any bunkering malpractices and promote transparent operations.
Improved handling of fuel on board
With more complete and quick information, the crew can take informed decisions on how best to handle and consume the fuel onboard the vessel. This shall facilitate in predictive maintenance of the vessel systems and improve safety to vessel and crew onboard.
Increased assurance on quality of fuel
With a comprehensive scan report on fuel quality to and from the tanks, suppliers can now provide increased assurance to their buyers, which shall drive the bunkering business with increased efficiencies and transparent operations.
Features
Real time monitoring
o Detecting contaminants during transfer
o Speeds up decision making process
Continuous Scanning
o Monitor quality of full bunker transfer
o Detecting and deferring any bunkering malpractice
Seamless Integration
o Non-intrusive
o No change to operations
Decoupled System
o Replaceable hardware
o Upgradable software
Reporting System
o Management directly updated without middlemen
Validated Algorithms
o Algorithms validated against laboratory methods