Prototype 1.0
In the 1st project phase, the focus was on silage maize harvesting with the vehicles of the harvest chain used for this purpose.
In the first project phase, the focus was on silage maize harvesting, as several different machines are involved in the harvest chain. In addition, the silage maize is also in focus with regard to the risk of soil compaction, due to the high number of wheel passes under partly moist soil conditions in the topsoil area.
With a platform independent development it is possible to compile the GUI for different systems. Therefore, in addition to the display on the tablets, the GUI can also be displayed in a standard browser. This makes it possible to have the entire system of central server, planning component, communication framework, GUI and simulation running on one computer and to be able to plan, simulate and compare different scenarios on the move - even before they are used in the field.
A machine database for selecting the fleet and the soil information model, which is not only the basis of the planning component, but is also visualized for the user on the GUI, were integrated into the system. Furthermore, the real-time data of the SASS are integrated into the system. For the semantic interpretation of the received sensor data of the SASS, models were implemented, which are used to calculate especially wheel load and contact area pressure. These values are used by the on-board assistance system to propose recommendations for action to the driver in order to ensure - based on the a-priori as well as in-situ collected data of the assistance system - an optimal soil-conserving driving experience.
The prototype 1.0 of the on-board assistance system developed in this way was tested during and after development and checked for plausibility, usability, and suitability for practical use: Within the scope of the real application of the on-board assistance system in the field, investigations were carried out on the communication between the machines and the runtime behaviour of the algorithms under real conditions.