Method for adjusting at least one working unit of a self-propelled harvesting machine

1. A method, implemented by a processor including a memory, for automatic adjustment of at least one of several working units of a self-propelled harvesting machine involved in a harvesting process, comprising the steps of:

the processor initially modeling the harvesting process by at least one program map that tracks a current harvesting process, based on a data base characteristic of the current harvesting process;

determining an initial working point of the at least one of the working units on a basis of the initial modeling of the harvesting process by the at least one program map;

adapting continuously the at least one program map on a basis of data currently collected by measurements and which influence the harvesting process;

determining a new working point of the at least one working unit of the harvesting machine depending on the continuous adapting of the at least one program map;

approximating the setting of the working unit at the new working point in an iterative process, starting from the initial working point of the at least one working unit of the harvesting machine; and

displaying optimization criteria of the automated process to the operator of the harvesting machine in a display unit in a selectable manner using a touchscreen function or a keypad, said optimization criteria comprising the quality of the crop material required for a certain intended use of the crop material, the optimization criteria for the working units or both;

wherein the program map maps a separation process, in which crop loss due to separation is depicted as an output variable as a function of the rotor speed and throughput is depicted as an input variable as a function of crop layer thickness.

2. The method according to claim 1 , further comprising carrying out a basic parametrization of the program map, on a basis of which initial adjustment parameters of the at least one working unit are determined.

3. The method according to claim 2 , further comprising after the approximation, adapting the initial adjustment parameters of the at least one working unit to the new working point.

4. The method according to claim 3 , further comprising after the approximation to the new working point, ensuing a wait for a quasistationary machine behavior to be reached.

5. The method according to claim 3 , further comprising carrying out a validation of the adapted program map.

6. The method according to claim 5 , further comprising depending on a result of the validation of the program map, retaining the values resulting for the working point for the adjustment parameters of the working units or resetting the values that existed in a previous working point.

7. The method according to claim 6 , further comprising checking the working point resulting from the adaptation of the program map, for plausibility.

8. The method according to claim 1 , further comprising carrying out the adaptation of the program map in a dynamic manner.

9. The method according to claim 1 , further comprising adjusting the at least one working unit depending on a quantity of crop material supplied to the harvesting machine.

10. The method according to claim 1 , further comprising adjusting the at least one working unit depending on a quantity of crop material supplied to the at least one working unit.

11. The method according to claim 1 , further comprising adjusting the at least one working unit depending on an inclination of the at least one working unit.

12. The method according to claim 1 , further comprising interrupting an adjustment of the at least one working unit automatically by an adjustment parameter being influenced manually.

13. The method according to claim 1 , further comprising detecting and storing data obtained by measurements carried out during the harvesting process, and which influence the harvesting process.

14. The method according to claim 1 , wherein the at least one initial program map describes the fundamental behavior of the at least one of the working units of harvesting machine involved in the harvesting process, and possible interactions thereof, provided they exist.

15. The method according to claim 1 , wherein a parametrization of the at least one program map carried out on a basis of evaluated data gathered in previous harvesting processes, specific information about the harvesting machine, experiential knowledge of operators that was collected and combinations thereof.

16. The method of claim 1 , wherein the crop layer thickness is the crop layer thickness in a feed rake.

17. A method, implemented by a processor including a memory, for automatic adjustment of at least one of several working units of a self-propelled harvesting machine involved in a harvesting process, comprising the steps of:

the processor initially modeling the harvesting process by at least one program map that tracks a current harvesting process, based on a data base characteristic of the current harvesting process;

determining an initial working point of the at least one of the working units on a basis of the initial modeling of the harvesting process by the at least one program map;

adapting continuously the at least one program map on a basis of data currently collected by measurements and which influence the harvesting process;

determining a new working point of the at least one working unit of the harvesting machine depending on the continuous adapting of the at least one program map; and

approximating the setting of the working unit at the new working point in an iterative process, starting from the initial working point of the at least one working unit of the harvesting machine;

wherein the program map maps a separation process, in which crop loss due to separation is depicted as an output variable as a function of the rotor speed and throughput is depicted as an input variable as a function of crop layer thickness.