Nowadays, artificial intelligence occupies a central place within a multitude of industries, by making it possible to merge mathematical concepts with empirical data. Within OSE, the department dedicated to artificial intelligence takes responsibility for designing solutions rooted in the following conceptual frameworks:
Operational research
Machine learning
Algorithm experts
Autonomous systems
In close collaboration with our customers, who have essential sector expertise to enrich mathematical models, these solutions consume form. Our overriding goal is to provide users with optimal recommendations, encompassing system sizing, operational guidelines and strategic analyses.
In a context where drones and robotic systems are developing and finding numerous use cases in the maritime industry, OSE Engineering has supported an autonomous robotics player in the development of an innovative solution aimed at improving the operational and energy efficiency of their embedded systems.
Innovative design methods for virtual force and torque gauges on a ship's appendages.
Decarbonization, that is to say the reduction of CO2 emissions, requires a clear economic and technological transformation. It is in this context that the MerVent project fits: working on energy efficiency through wind propulsion.
Development of an algorithm taking into account weather data, waterway regulations and ship parameters, to calculate an optimal multi-criteria route (duration, consumption, power, safety, etc.).
The objective of this project is to design an algorithm capable of predicting the roll risks specific to each type of ship in order to guarantee the safety of the ship, its crew and its cargo. Discover this project in partnership with GTT.
Or how to optimize the consumption of a storage site!
A new mission for our maritime consulting engineers : optimizing the environmental and economic performance of LNG transport.
Optimising logistics and reducing costs through return to port prediction.
Or how to master the complexity of evaluating vehicles in real traffic conditions !
The main objective of the project is to demonstrate the feasibility of decarbonizing a utility vehicle by converting its internal combustion engine to hydrogen.
How can we predict the aging of tunnels from the following data : geological nature, dimensions of the tunnel, materials of the tunnel as well as the rating assigned during each inspection ? Introducing an example of predictive maintenance !
Objective : pilot a swarm of 10 drones to find a man overboard as quickly as possible
How to predict the performance of your system in real conditions of use ?
The OSE team is conducting an audit of the operational energy and environmental profiles for a small-scale fishing trawler cooperative to accelerate their energy transition.
To address the challenges of urban logistics, we have developed web solutions and advanced algorithms to optimize the management of delivery droids. By integrating operational research methods and graph theory, we have designed an efficient routing algorithm that combines performance, sustainability, and service quality.
OSE acted as an innovative partner by developing performance calculation software, the results of which were certified by the CSTB. Presentation of the project through the ray-tracing method which made it possible to fulfill our missions.
Ensuring the transparency and reliability of bunkering operations
Determining the performance of a ship’s hull based on its speed, load and trim.
