Maritime Environment Simulation From Real-Time Vessel Sensors
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Solution Overview
Problem
Existing maritime training simulators are limited by hardware and software costs, require travel for training, and rely on synthetic data, failing to provide a realistic training experience.
Innovation Solution
A system that utilizes real-time sensor data from maritime vessels to create a virtual representation of the maritime environment, enhancing training with actual sensor data and virtual reality interfaces.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional physical training simulators are used, then training realism is improved, but cost and travel requirements increase
Solution Approach 1:
The patent creates a virtual copy of the maritime environment using sensor data from the actual vessel. Instead of building expensive physical simulators, the system duplicats real sensor data (GPS, radar, camera feeds, vessel status) to generate a virtual representation that can be accessed remotely, eliminating the need for travelers to physically visit the vessel location while maintaining training realism
Solution Approach 2:
The system introduces a communication network as an intermediary between the sensor on the maritime vessel and the display device. This intermediary transmits sensor data and virtual environment information to remote users, allowing them to experience the maritime environment without being physically present on the vessel, thus resolving the contradiction between training realism and travel requirements
2Ease of manufacture
If synthetic data is used for simulation, then system cost is reduced, but training quality deteriorates
Solution Approach 1:
The system changes the parameter of data source from synthetic/generated data to real sensor data from actual maritime vessels. By utilizing authentic sensor inputs (GPS coordinates, radar returns, camera images, vessel status parameters), the training simulation maintains high fidelity to real maritime operations while keeping system costs low, as the data is freely available from the vessel's existing sensor suite
3Reliability
If real-time sensor data is used, then training realism is improved, but data processing complexity increases
Solution Approach 1:
The system segments the data processing task by having the sensor on the maritime vessel perform initial data collection and preprocessing, then transmitting only the necessary sensor data through the communication network to the display device. This segmentation distributes processing complexity across multiple components, reducing the burden on any single system while maintaining real-time training realism
Data Source
AI summary
The disclosure relates to a system for simulating a maritime environment. The system includes a data duplicator, where an input interface is configured to receive sensor data from a sensor of a maritime vessel, a processor is configured to duplicate the sensor data, a first output interface is configured to provide the sensor data, and a second output interface is configured to provide the duplicated sensor data. The system may also include a training environment simulator, where an input interface is configured to receive the duplicated sensor data, a processor is configured to simulate the maritime environment based on the duplicated senor data, and a display is configured to display a virtual representation of the maritime environment. The system may also include a data processing device, where an input interface is configured to receive the sensor data and a processor is configured to process the sensor data.

