Abstract: A combine harvester has multiple working mechanisms for carrying out specific treatment subprocesses of an overall treatment process for processing crop, and a driver assistance system for controlling the working mechanisms, which includes a memory for storing data and a computing device for processing the data stored in the memory, wherein the driver assistance system, together with the particular working mechanisms provided for carrying out the treatment subprocesses, forms independently operating automated adjusting mechanisms which are utilized for optimizing the control of the working mechanisms for carrying out the treatment subprocesses, wherein a process supervisor is assigned to the driver assistance system for controlling individual automated adjusting mechanisms and a data exchange of the automated adjusting mechanisms with one another.

Abstract: A combine harvester has multiple working mechanisms for carrying out specific treatment subprocesses of an overall treatment process for processing crop and a driver assistance system for controlling the working mechanisms, which includes a memory for storing data, a computing device for processing the data stored in the memory, and a graphical user interface. The driver assistance system, together with the particular working mechanisms provided for carrying out the treatment subprocesses, forms independently operating automated adjusting mechanisms which are utilized for optimizing the control of the working mechanisms for carrying out the treatment subprocesses. A process supervisor is assigned to the driver assistance system for controlling individual automated adjusting mechanisms and a data exchange of the automated adjusting mechanisms with one another.

Abstract: A combine harvester has multiple working mechanisms for carrying out specific treatment subprocesses of an overall treatment process for processing crop, and a driver assistance system for controlling the working mechanisms, which includes a memory for storing data and a computing device for processing the data stored in the memory, wherein the driver assistance system, together with the particular working mechanisms provided for carrying out the treatment subprocesses, forms independently operating automated adjusting mechanisms which are utilized for optimizing the control of the working mechanisms for carrying out the treatment subprocesses, wherein a process supervisor is assigned to the driver assistance system for controlling individual automated adjusting mechanisms and a data exchange of the automated adjusting mechanisms with one another.

Abstract: A combine harvester has multiple working mechanisms for carrying out specific treatment subprocesses of an overall treatment process for processing crop and a driver assistance system for controlling the working mechanisms, which includes a memory for storing data, a computing device for processing the data stored in the memory, and a graphical user interface. The driver assistance system, together with the particular working mechanisms provided for carrying out the treatment subprocesses, forms independently operating automated adjusting mechanisms which are utilized for optimizing the control of the working mechanisms for carrying out the treatment subprocesses. A process supervisor is assigned to the driver assistance system for controlling individual automated adjusting mechanisms and a data exchange of the automated adjusting mechanisms with one another.

Abstract: A combine harvester includes a threshing unit for threshing picked-up crop to obtain grain, a driver assistance system, with a memory for storing data, for controlling the threshing unit, and a computing unit for processing at least the data stored in the memory. A sensor system ascertains at least a portion of the current harvesting-process state. A sensor configuration assigned to the sensor system is defined by the type and scope of operational sensors is stored or can be stored in the memory. A functional system model for at least a portion of the combine harvester is stored in the memory. The computing unit is designed to carry out an autonomous determination of a threshing-unit parameter based on the system model, and defines the system model forming a basis of the control of the threshing unit depending on the sensor configuration stored in the memory.

Abstract: A self-propelled harvesting machine such as a combine harvester has multiple working units for processing crop picked up from a field, a driver assistance system for the sensor-supported control of the working units, an environmental sensor system for detecting environmental information and spatial areas of applicability located in the environment of the harvesting machine. The driver assistance system has a memory for storing data and a computing unit for processing data, including the data stored in the memory. A functional system model for at least one part of the harvesting machine is stored in the memory. The computing unit functions as a characteristic control on the basis of the system model and autonomously determines machine parameters of at least one working unit and specifies these to the particular working unit.

Abstract: A combine harvester has a threshing unit for threshing picked-up crop to obtain grain and a driver assistance system for controlling the threshing unit. The driver assistance system includes a memory for storing data and a computing unit for processing the data stored in the memory. The threshing unit, together with the driver assistance system, forms an automated threshing unit, in that a plurality of selectable harvesting-process strategies is stored in the memory and in that, in order to implement the particular selected harvesting-process strategy, the computing device autonomously determines at least one machine parameter, for example, a threshing-unit parameter, and specifies the parameter to the threshing unit.

Abstract: A combine harvester has a threshing unit for threshing picked-up crop to obtain grain, a driver assistance system for controlling the threshing unit which has a memory for storing data and a computing unit for processing the data stored in the memory. A functional system model for at least a portion of the combine harvester is stored in the memory. The computing unit is designed to carry out an autonomous determination of at least one threshing-unit parameter on a basis of the system model and, for depicting functional interrelationships, at least one family of characteristics (A-J) is assigned to at least one harvesting-process parameter. The at least one harvesting-process parameter is defined as an output variable of the at least one family of characteristics (A-J).

Abstract: A self-propelled harvesting machine such as a combine harvester has multiple working units for processing crop picked up from a field, a driver assistance system for the sensor-supported control of the working units, an environmental sensor system for detecting environmental information and spatial areas of applicability located in the environment of the harvesting machine. The driver assistance system has a memory for storing data and a computing unit for processing data, including the data stored in the memory. A functional system model for at least one part of the harvesting machine is stored in the memory. The computing unit functions as a characteristic control on the basis of the system model and autonomously determines machine parameters of at least one working unit and specifies these to the particular working unit.

Abstract: A combine harvester has a threshing unit for threshing picked-up crop to obtain grain and a driver assistance system for controlling the threshing unit. The driver assistance system includes a memory for storing data and a computing unit for processing the data stored in the memory. The threshing unit, together with the driver assistance system, forms an automated threshing unit, in that a plurality of selectable harvesting-process strategies is stored in the memory and in that, in order to implement the particular selected harvesting-process strategy, the computing device autonomously determines at least one machine parameter, for example, a threshing-unit parameter, and specifies the parameter to the threshing unit.

Abstract: A combine harvester has a threshing unit for threshing picked-up crop to obtain grain, a driver assistance system for controlling the threshing unit which has a memory for storing data and a computing unit for processing the data stored in the memory. A functional system model for at least a portion of the combine harvester is stored in the memory. The computing unit is designed to carry out an autonomous determination of at least one threshing-unit parameter on a basis of the system model and, for depicting functional interrelationships, at least one family of characteristics (A-J) is assigned to at least one harvesting-process parameter. The at least one harvesting-process parameter is defined as an output variable of the at least one family of characteristics (A-J).

Abstract: A combine harvester includes a threshing unit for threshing picked-up crop to obtain grain, a driver assistance system, with a memory for storing data, for controlling the threshing unit, and a computing unit for processing at least the data stored in the memory. A sensor system ascertains at least a portion of the current harvesting-process state. A sensor configuration assigned to the sensor system is defined by the type and scope of operational sensors is stored or can be stored in the memory. A functional system model for at least a portion of the combine harvester is stored in the memory. The computing unit is designed to carry out an autonomous determination of a threshing-unit parameter based on the system model, and defines the system model forming a basis of the control of the threshing unit depending on the sensor configuration stored in the memory.

Abstract: A method for automatic adjustment of at least one of several working units of a self-propelled harvesting machine involved in a harvesting process, includes the steps of initially modeling the harvesting process by at least one program map, based on a data base characteristic of a current harvesting process; determining an initial working point of the at least one of the working units on a basis of the initial modeling; adapting 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 depending on the adaptation of the program map; and iteratively approximating the new working point.

Abstract: An agricultural working machine has a one control/regulating unit designed to adjust and monitor working parameters, quality parameters or both of the agricultural working machine that influence a harvesting process. The adjusting and monitoring are carried out in an automatable manner by the control/regulating unit using stored families of characteristics. The agricultural working machine also has at least one display device for depicting setpoint values and actual values of the working parameters, quality parameters or both. The control/regulating unit actuates defined measurement points in the stored families of characteristics and the specifically actuated measurement points are located in the boundary regions of the family of characteristics or outside the active working region of the particular family of characteristics.

Abstract: A driver assistance system for an agricultural working machine includes at least one control/regulating unit designed to adjust and monitor working parameters, quality parameters or both, of the agricultural working machine in an automatable manner based on use of a family of characteristics stored in the control/regulating unit. A selectable process implementation strategy is specified in order to automatically monitor or adjust at least one working parameter or quality parameter or both of the agricultural working machine. The driver assistance system suggests that the process implementation strategy be changed at least when the specified setpoint value of one or more of the quality parameters cannot be reached within the preselected process implementation strategy.

Abstract: An agricultural working machine has a one control/regulating unit designed to adjust and monitor working parameters, quality parameters or both of the agricultural working machine that influence a harvesting process. The adjusting and monitoring are carried out in an automatable manner by the control/regulating unit using stored families of characteristics. The agricultural working machine also has at least one display device for depicting setpoint values and actual values of the working parameters, quality parameters or both. The control/regulating unit actuates defined measurement points in the stored families of characteristics and the specifically actuated measurement points are located in the boundary regions of the family of characteristics or outside the active working region of the particular family of characteristics.

Abstract: A driver assistance system for an agricultural working machine includes at least one control/regulating unit designed to adjust and monitor working parameters, quality parameters or both, of the agricultural working machine in an automatable manner based on use of a family of characteristics stored in the control/regulating unit. A selectable process implementation strategy is specified in order to automatically monitor or adjust at least one working parameter or quality parameter or both of the agricultural working machine. The driver assistance system suggests that the process implementation strategy be changed at least when the specified setpoint value of one or more of the quality parameters cannot be reached within the preselected process implementation strategy.

Abstract: A driver assistance system for agricultural working machines, such as a combine harvester having a large number of working mechanisms, is formed by at least one data processing and control unit, and at least one display unit, and the data processing and control unit processes information generated by sensor systems internal to the machine, information that can be stored in the data processing and control unit, and/or external information, and the driver assistance system has selectable process implementation strategies, and the selection criterium of a process implementation strategy are the quality required for a certain intended use of the crop and/or optimization criteria of the working mechanisms.

Abstract: A method for automatic adjustment of at least one of several working units of a self-propelled harvesting machine involved in a harvesting process, includes the steps of initially modeling the harvesting process by at least one program map, based on a data base characteristic of a current harvesting process; determining an initial working point of the at least one of the working units on a basis of the initial modeling; adapting 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 depending on the adaptation of the program map; and iteratively approximating the new working point.