4. Testing with Test Vessel

4.3 Test Drives and Demonstration

The scenarios defined in work package 4.1 are accompanied by scientists from all the research institutes involved, taking scientifically relevant aspects into account. One of the purposes of this is to be able to take new findings from real applications into the further development of the technology.

However, a shipmaster or shipwoman takes the decision whether and when the developed automation technology takes control of the ship. He or she is always in charge of the ship and therefore also decides whether or not to turn off the automaton developed by the scientists.

The man-machine interface installed on the ship’s bridge shows the skipper or the ship’s operator the next control commands that the automaton will pass on to the ship, as well as the resulting ship behavior. Based on this information and the experience of the responsible shipmaster or shipwoman, they can make the decision whether the automat has to be switched off or not. A shutdown is always done to ensure the safety on board and on the inland waterway. As soon as the developed automation technology is switched off, the skipper takes over manual control of the vessel.

Depending on the environmental conditions such as traffic volume, weather and other factors, the defined scenarios are tested in increasing complexity. During this process, constant attention is paid to whether the existing conditions match the requirements of the test scenarios defined in advance.

The scientists on board readjust the automation technology as soon as malfunctions occur.

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Work packages

The simulation environment as a virtual image of the real world is the central development environment for all control and monitoring algorithms. A digital twin of the test vessel is implemented in the simulation environment.

 

The development of the automated control of the inland vessel will initially take place in a simulator. In the first work package, the existing simulator will therefore be extended so that sensor readings can be generated virtually. The artificial intelligence (AI) developed in parallel in a modular fashion for ship control and for implementing the driving behavior functions will then be integrated in a simulation model in such a way that a later parallel porting to a real inland waterway vessel will be possible. Furthermore, the behavior of other road users (vessels in the vicinity of the automated barge) will be modeled and integrated into the simulation environment. The development of the AI for the implementation of the driving behavior functions for different tasks is initially carried out in parallel and then tested in the simulator. Fundamental questions about the choice and structure of the module are efficiently addressed in this way.

1.1 Simulator

The virtual home of the digital twin

1.2 AI / Behavior Control

The central algorithms: ship guidance and driving behavior functions

1.3 Behavior of other Road Users

Prerequisite for accident-free traffic: understanding the traffic situation

To test the test vessel, test scenarios are first defined. Subsequently, the automated vessel control is integrated and iteratively adapted. Test runs are absolutely necessary for this. 

2.1 Sensors

The senses of AI

2.2 Actuator

Artificial intelligence takes the control

2.3 Human-Machine Interface

Development of the human-machine interface

The realization of the automation of the test vessel requires a fine conception and coordination of the algorithms. Furthermore, the automation functions must be tested in advance in the simulation environment. This is followed by validation on the real system.

3.1 Fine-Tuning and Tuning of the Algorithms

Fine conception and tuning of the algorithms for the automation of the inland vessel.

3.2 Implementation

Technical implementation of the automation functions

3.3 Integration of Autom. Vessel Guidance in the Simulation Environment

Integration of automated ship guidance in the simulation environment

3.4 Validation ML/KI and Vessel Control

Validation of the AI

Sensors and actuators will be used to equip the test vessel. A human-machine interface is also being developed.

4.1 Definition of Test Scenarios

Testing of the developments

4.2 Integration and Adaptation of Control in Test Vessel

Integration and Adaptation of Control in Test Vessel

4.3 Test Drives and Demonstration

From theory to practice

The simulation environment as a virtual image of the real world is the central development environment for all control and monitoring algorithms. A digital twin of the test vessel is implemented in the simulation environment.

5.1 Profitability Analysis

Economic efficiency analysis

5.2 Rating

Final evaluation of automation