Skip to main content

Research Projects

The research projects of marinom GmbH are based on the extensive experience of our engineering teams in the development of autonomous maritime systems. Particular emphasis is placed on the experimental validation of novel approaches in control systems, sensor technologies and data analytics.
By combining technical expertise with experimental approaches, we develop solutions that enhance the capabilities of existing systems while establishing the foundation for future technological advancements.

PrOSea – Process Optimization at Sea

Ships in the gas industry face the challenge of maintaining the transported gas under controlled temperature conditions throughout the entire voyage. To achive this, the cargo must be continuously temperature-controlled in accordance with strict operational requirements. This cooling process is both energy-intensive and saftey-critical, as key components are exposed to high thermal and mechanical stresses.

Against this background, marinom GmbH, together with TOPAS Industriemathematik Innovation gGmbH, is pursuing the development of a system for the accurate prediction and optimization of gas temperatures during transport as a part of the PrOSea project (Process Optimization at Sea). In addition, data-driven methods for condition monitoring and predictive maintenance of inboard systems will be established. A particular focus is placed on thermal imaging (e.g. using thermal cameras), which will support the condition monitoring of various sensors and equipment. By applying advanced algorithms and machine learning techniques, real-time data will be analyzed to enable informed decision-making and provide targeted operational recommendations.

Projektinhalt

  • Project Objectives

  • Data-driven condition monitoring and predictive maintenance of critical system components, particularly as a foundation for the long-term development of a data-driven assistance system for optimizing the cooling process
  • Reduction of energy consumption
  • Enhancement of operational safety
  • Early detection of critical system conditions
  • Improvement of gas transportation efficiency

  • Preliminary Results & Future Outlook

  • Projected savings of 10-30% in cooling capacity requirements
  • Development of a predictive model for the early detection of emerging risks based in temporal image sequence analysis
  • Implementation of a rule-based framework for anomaly detection and assessment
Zielsetzung
Finanzierung

Designed by vitamin B² | Konzept- und Werbeagentur.