Agricultural work system

0001The invention relates to an agricultural work system according to the preamble of claim 1 and a method for optimizing operating parameters using an agricultural work system according to the preamble of claim 15.

0002Such an agricultural work system has at least one agricultural work machine, for example a fleet of agricultural work machines, each of which is coupled to at least one work unit for carrying out or supporting agricultural work. Such an agricultural working machine can be any agricultural working machine that is used to carry out an agricultural work order, for example soil cultivation such as plowing, cultivating, harrowing or the like. These include tractors, especially tractors, but also fundamentally harvesting machines, especially forage harvesters, combine harvesters or the like. In this case, the focus is on the agricultural machine designed as a tractor. In addition to built-in working units such as inclined conveyors, threshing machines, chopping devices or the like, working units also include attachments such as plows, cultivators, harrows or the like.

0003In agricultural machines, it is known to record and evaluate different operating parameters for the purpose of optimizing work processes, especially during a harvesting process. The term “operating parameters” is to be understood broadly in this case. It includes all parameters relevant to the operation of the agricultural machine and in particular to a work order, in particular machine parameters such as rotational speed or driving speed, work parameters such as work units used or the agricultural work order carried out and/or environmental parameters such as the condition of the soil or the weather. When we talk about an operating parameter below, we also mean its corresponding parameter value. The detection of corresponding operating parameters is at least partially automated using a driver assistance system of the agricultural machine, in particular using sensors or input devices for operator inputs.

0004With the well-known agricultural work system (<patcit id="pcit0001" dnum="DE102008061252A1"><text>DE 10 2008 061 252 A1</text></patcit>), on which the invention is based, a plurality of operating parameters are recorded by the driver assistance system of an agricultural machine, for example a combine harvester, and further processed into a context profile based on predetermined regulations (context processing rules). Such a context profile represents a set of data that characterizes a specific situation or certain environmental or general conditions. The data includes, for example, the identity, geographical position and operating status of the agricultural machine. For example, the data can say that the agricultural machine is a combine harvester that is at a certain position at a certain time and is traveling at a certain speed. Depending on a context profile determined in this way, machine parameters of the agricultural machine can then be optimized with regard to a specific agricultural work order that is then to be carried out by the machine. Such optimization is carried out automatically by the driver assistance system, i.e. without input from the operator. However, due to the diverse applications of an agricultural machine, in particular a tractor, in connection with a large number of different attachments in combination with largely unknown environmental conditions, a satisfactory optimization result cannot always be achieved with the known agricultural work system.

0005The invention is based on the problem of designing and developing the known agricultural work system in such a way that improved optimization of machine parameters is made possible for the widest possible range of applications.

0006The above problem is solved in an agricultural work system according to the preamble of claim 1 by the features of the characterizing part of claim 1.

0007The proposed agricultural work system has, in particular, a tractor as the agricultural working machine. In principle, the proposed solution can also be applied to any other agricultural machine, for example a combine harvester or forage harvester. The agricultural machine has a driver assistance system, which here and preferably means a system that supports the operator in operating it while carrying out an agricultural work order as well as when operating on the road or in the agricultural depot. The support can relate to driving and/or steering the agricultural machine, but also to the evaluation and/or output of operating parameters or corresponding parameter values ​​and in particular also to the control and regulation of the agricultural machine or individual working units, in particular an attachment , depending on operating parameters.

0008First of all, the fundamental consideration is that better optimization results can be achieved by involving the operator in an optimization process, since it is possible for the operator to quickly and easily evaluate the result of an optimization routine that has been completed and, in particular, to decide immediately whether there is an improvement compared to the condition occurred or not before the optimization routine was run. According to the proposal, after running through an optimization routine in which one or more operating parameters, in particular machine parameters, or the corresponding parameter values ​​have been changed, the system requires operator feedback in the form of an operator-side classification of the optimization result. After classification has been carried out by the operator, the respective changed operating parameters or set of parameters obtained as part of carrying out the optimization routine are stored in a data pool. Such an operating parameter set also contains, in particular, a set of corresponding parameter values ​​or Data that characterize a specific situation or certain environmental or general conditions, for example data that relate to the identity (type and/or type), the geographical position and the operating status of the agricultural machine.

0009Furthermore, it is essential in the proposed solution that the operating parameters or sets of parameters stored in the data pool are fed to an algorithm based on classification, which is used to generate optimized operating parameters or sets of parameters. “Classification-based” means that the respective operating parameter or parameter set or the corresponding parameter values ​​are transmitted to the algorithm depending on the classification result, that is, depending on the degree of suitability of the parameter or parameter set or the corresponding parameter values ​​for a specific application (for a specific context) determined by the operator. For example, only those operating parameters or sets of parameters are transmitted to the algorithm that were previously viewed by the operator during classification as suitable for the underlying application. A classification of an operating parameter or set of parameters as “suitable” is carried out by the operator, for example, if this parameter or set of parameters or the corresponding parameter values ​​have improved the result when carrying out the underlying agricultural work order.

0010The assessment of the work result can be based on criteria such as the quality of the machining process, the efficiency of the machining process and the machining performance. The algorithm for generating optimized operating parameters or sets of parameters then preferably allows the data in the data pool to be processed in such a way that optimal machine parameters or corresponding values ​​can also be derived for new, unknown combinations of work machine and work unit, in particular tractor and attachment . For example, it is conceivable that a parameter set previously classified by the operator for a specific tractor type when plowing under certain environmental conditions is stored in the data pool and the algorithm optimizes the same or a similar parameter set for a different tractor type when plowing or the same tractor type when cultivating under comparable environmental conditions Provides parameter set. In the simplest case, however, the algorithm can simply consist of distinguishing operating parameters or parameter sets classified as suitable from operating parameters or parameter sets classified as unsuitable and only making the operating parameters or parameter sets classified as suitable available to a driver assistance system for retrieval. However, this is only conceivable in the case that both the operating parameters or sets of parameters classified as suitable and those classified as unsuitable are stored in the data pool. In principle, however, it is also conceivable to store only the operating parameters or parameter sets classified as suitable in the data pool from the outset (crowd-sourced truth data pool) and to discard those classified as unsuitable.

0011With the proposed agricultural work system, it is therefore possible to determine a number of operating parameters in a context-related manner, for example by sensors and/or by the operator himself, including in particular not only machine parameters, but also data relating to identity (type and /or type), the geographical position and the operating status of the agricultural machine, including in particular environmental parameters. Furthermore, it is then possible, as part of an optimization routine, to adapt at least one operating parameter, in particular machine parameters, with regard to at least one of the criteria “quality”, “efficiency” and “performance” by the driver assistance system. The result, i.e. the respectively adapted operating parameter or a parameter set with the respectively adapted operating parameter, is then classified by the operator and the result of the classification is transmitted to the driver assistance system. The driver assistance system then transmits individual operating parameters or parameter sets, for example only those classified as suitable, or fundamentally all, i.e. also those classified as unsuitable, operating parameters or parameter sets to the data pool, which the algorithm then uses to generate optimized operating parameters or parameter sets for setting the agricultural machine and/or a working unit. The data generated by the algorithm can then also be stored in the data pool. In this context, we also speak of so-called “data mining”, which means an automatic or semi-automatic evaluation of large amounts of data to determine previously hidden connections.

0012Claims 2 and 3 define preferred options for collecting and outputting data by the driver assistance system. Data, in particular the plurality of operating parameters or sets of parameters, can be acquired via sensors, but also by means of operator-side inputs. It is also conceivable to provide such data via an internal data source, for example an internal memory of the agricultural machine or an internal memory of the work unit or attachment, or via an external data source (GPS satellite, weather station, Internet, farm computer or the like). A detectable operating parameter is in particular the type and/or type of the working unit, in particular the attachment. A detection of this operating parameter, i.e. the recognition of the attachment, for example, can also take place automatically, in particular via RFID, Bluetooth, one or more cameras, M2X communication, ISOBUS, TIM or the like.

0013The driver assistance system can also be configured to record and/or output data in natural language (claim 4).

0014According to the preferred embodiment according to claim 5, a computer for applying the algorithm and a data memory for storing the classified operating parameters or parameter sets in the data pool are provided. The data memory or a separate data memory can also be provided for storing the operating parameters or sets of parameters generated by the application of the algorithm. The computer and/or the respective data storage can be part of the agricultural machine. Particularly preferably, the computer and/or the respective data storage is part of an external computer network (cloud) of the agricultural work system. The application of the algorithm and/or the storage of said data is therefore particularly cloud-based.

0015According to claims 6 and 7, data can also be exchanged with other agricultural machines and/or work units. In particular, several agricultural machines can also be used to record operating parameters as described above and to store classified operating parameters in the data pool in a retrievable manner. The operating parameters or sets of parameters generated by the algorithm can also be made available to other agricultural machines and/or work units, in particular other, for example similar, combinations of agricultural machines and work units or attachments. This can be done in particular by means of telemetry with bidirectional communication and/or via offline optimization on the farm computer and subsequent transmission to the respective agricultural machine and/or by installing a new software update. In particular, optimized setting recommendations can be provided for a specific region.

0016Claims 8 and 9 define preferred operating parameters, in particular machine parameters, working parameters and environmental parameters, which can be recorded by the driver assistance system and/or used in the machine-side optimization and/or the subsequent classification and/or the subsequent application of the algorithm.

0017Claim 10 defines preferred combinations of operating parameters as operating parameter sets to be classified.

0018Claim 11 defines preferred combinations of operating parameters for which the algorithm generates optimal operating parameters or sets of parameters.

0019According to the preferred embodiment according to claim 12, the driver assistance system allows the operator to select an optimization routine through which one or more operating parameters can be changed according to a predetermined rule. The operating parameter or set of parameters obtained by this change is then the one that is classified by the operator, for example judged as suitable or unsuitable for the specific application or the specific context. The optimization routine can in particular optimize the quality of the machining process, the efficiency of the machining process or the machining performance. The operator preferably has the choice between an optimization routine for optimizing the quality of the machining process, an optimization routine for optimizing the efficiency of the machining process and/or an optimization routine for optimizing the machining performance. After selecting a corresponding optimization routine, it can also be provided that the driver assistance system gives the operator one or more suggestions for at least one operating parameter to be changed, with the operator then in particular having the option of accepting or rejecting a suggestion (claim 13).

0020Furthermore, the driver assistance system can also be configured to carry out a meaningfulness assessment of the operator's data entries (claim 14). For example, an operating parameter set that includes the work parameter "work order plowing" in a certain situation, for example immediately after turning, could be unintentionally classified by the operator as suitable, even though plowing does not make sense in this situation. The driver assistance system can then interpret the driver's data entry as an incorrect entry and accordingly prevent the classified parameter set from being stored in the data pool.

0021According to a further teaching according to claim 15, which has independent significance, a method for optimizing operating parameters using an agricultural work system, in particular an agricultural work system according to the proposal, is claimed, with at least one agricultural machine, in particular a tractor, and with at least one work unit Carrying out or supporting agricultural work, wherein the agricultural machine has a driver assistance system for recording, processing and outputting data relating to an agricultural work order. According to the proposal, a plurality of operating parameters are recorded by means of the driver assistance system and an operator-side classification of the recorded operating parameters or of operating parameter sets with several different recorded operating parameters is made possible. Furthermore, individual or all classified operating parameters or sets of parameters are stored in a data pool in a retrievable manner and the operating parameters or sets of parameters are transmitted, based on classification, to an algorithm for generating optimized operating parameters or sets of parameters for the setting of the agricultural machine and/or the at least one work unit.

0022The invention is explained in more detail below using a drawing that only shows an exemplary embodiment. Shown in the drawing<dl id="dl0001"><dt>Fig. 1</dt><dd>a schematic representation of a proposed agricultural work system with an agricultural machine in the form of a tractor and with an attachment in the form of a plow and</dd><dt>Fig. 2</dt><dd>a schematic representation of a method for optimizing operating parameters using the agricultural work system according to<figref idref="f0001">Fig. 1</figref>.</dd></dl>

0023In<figref idref="f0001">Fig. 1</figref> is shown how an agricultural machine 1, here in the form of a tractor, carries out an agricultural work order, here soil cultivation, by means of a work unit 2 for carrying out or supporting agricultural work, here an attachment in the form of a plow. The agricultural machine 1 and the working unit 2 or Attachments here are part of a proposed agricultural work system for optimizing operating parameters of work machine 1 and/or work unit 2. The agricultural work machine 1 has a driver assistance system 3 for recording, processing and outputting data relating to the agricultural work order, here soil cultivation. The data here are operating parameters or operating parameter sets with several different operating parameters.

0024According to the proposal, the driver assistance system 3 is configured to record a plurality of operating parameters. The operating parameters can be recorded, as will be explained in more detail below, by sensors and/or by operator input and/or by retrieving from an internal and/or external data source, to name just a few examples. The operating parameters here and preferably represent an operating parameter set with several different operating parameters. One or more operating parameters of the operating parameter set or the corresponding parameter values ​​can be changed during the execution of the work order in order to carry out optimization. This is preferably done as part of an optimization routine selected and started by the operator 4, which will be explained below.

0025The driver assistance system 3 now allows the operator 4 to carry out a classification of the operating parameter set, which here and preferably contains the changed operating parameter or corresponding parameter value. A classification means an evaluation of the operating parameter set, that is to say the corresponding parameter values, by the operator 4, in which the operator 4 decides whether or not an improvement in the work result has been achieved by changing the operating parameter or parameters of the operating parameter set. The operator 4 thus decides whether the changed operating parameter or -parameter set is suitable or unsuitable for improving the work result. The operator 4 classifies the operating parameter or set of parameters in particular as suitable or unsuitable for the specific context, that is, the specific application. When classifying, the operator 4 can, according to a special embodiment, not only decide between “suitable” and “unsuitable”, but also make one or more gradations in between.

0026Here and preferably, the operating parameter set also includes, in addition to one or more machine parameters, one or more work and environmental parameters that specify the specific context in more detail, for example type of agricultural machinery and/or attachment, weather and/or soil conditions or the like during the execution of the agricultural work order . The operator-side classification can therefore be used to make a statement about the suitability of certain machine parameters in combination with certain work and/or environmental parameters (e.g. type of agricultural machine and/or attachment, weather and/or soil conditions).

0027The proposed agricultural work system also provides a data pool in which previously classified operating parameters or here and preferably operating parameter sets with different operating parameters are stored in a retrievable manner. Such a data pool is, for example, a crowd-sourced truth data pool in which only operating parameter sets classified as suitable are stored from different sources, that is to say from different driver assistance systems 3.

0028The operating parameters or here the operating parameter sets are then, as proposed, transmitted based on classification, i.e. depending on the classification result (e.g. result of "suitable" or "unsuitable"), to an algorithm which contextually optimizes operating parameters or parameter sets for the setting of an agricultural machine 1 and/or or a work unit 2 generated. The data generated by the algorithm are then operating parameters or sets of parameters that the agricultural working machine 1 and/or the working unit 2 and/or another agricultural working machine 1' or another working unit 2' can use in order to, in the same or similar context, This means, for example, that the machine parameters can be operated under the same or similar weather and/or ground conditions. The algorithm can therefore be used to determine optimal settings in a context-related manner, which are particularly suitable for future uses of one and the same agricultural machine 1 and/or one and the same work unit 2 or also for uses of other, in particular similar, combinations of agricultural work machine 1' and work unit 2 ' can be used to achieve optimal work results.

0029To record data, in particular the plurality of operating parameters or parameter sets, the driver assistance system 3 is here and preferably coupled to one or more sensors 5 of the agricultural machine 1 and/or to one or more sensors 6 of the work unit 2. To record the data, a coupling with an internal data source of the agricultural machine 1 and/or the work unit 2 and/or with an external data source such as a GPS satellite, a weather station, the Internet or the farm computer or the like is also conceivable. For this purpose, the driver assistance system 3 can also be coupled, as here, with at least one input device 7 for operator-side data input, in particular a keyboard, a touchscreen 8 and/or a microphone 9. The input device 7 can be part of the agricultural machine 1, the work unit 2 and/or a mobile device. In particular, machine parameters and, if necessary, at least some working parameters and/or environmental parameters can be recorded via the respective sensor 5, 6. Via the input device 7, the operator 4 can enter additional operating parameters, in particular machine, work and/or environmental parameters that cannot be detected automatically, for example agricultural machinery and/or attachment type and/or type, and transmit them to the driver assistance system 3.

0030As already described above, the driver assistance system 3 allows an operator-side classification of operating parameters or, in this case, a respective operating parameter set with several different operating parameters. For the purpose of classification, the driver assistance system 3 can here and preferably output data to the operator 4, for example recorded operating parameters or sets of parameters that are specifically to be classified by the operator, or simply a request as to how he assesses the changed situation. The output of data to the operator, for example the output of an operating parameter set or the output of a query to the operator 4, takes place in particular via an output device 10 coupled to the driver assistance system 3, in particular a display, a touchscreen 8 and/or a loudspeaker 11.

0031Particularly preferably, the driver assistance system 3 is suitable for the natural language acquisition of data transmitted by the operator and/or for the natural language output of data to the operator 4.

0032Here and preferably a computer 12 is provided for applying the algorithm and a data memory 13 for storing the classified operating parameters or parameter sets in the data pool. The data memory 13 is used here and preferably also to store the optimized operating parameters or parameter sets generated by using the algorithm for the setting of an agricultural machine 1 and/or at least one working unit 2. The computer 12 and/or the respective data storage 13 can be part of the agricultural work machine 1, but here and preferably are part of an external computer network or a cloud 14 of the agricultural work system.

0033A cloud 14 with computer 12 and data storage 13 is in<figref idref="f0002">Fig. 2</figref> symbolically represented. Also symbolically represented is in<figref idref="f0002">Fig. 2</figref>that other agricultural machines and/or work units can also retrieve the operating parameters or parameter sets optimized by the algorithm from the cloud 14. In<figref idref="f0002">Fig. 2</figref> Various combinations 1', 2' of other agricultural machines and work units are symbolically represented by rectangles. The combinations 1', 2' shown, which use the data from the cloud 14, can have the same type of agricultural machinery and/or attachments and/or the same type of agricultural machinery and/or attachments as those based on<figref idref="f0001">Fig. 1</figref> described combination of agricultural machine 1 and work unit 2, which provided the data that the algorithm applied.

0034In principle, it is also conceivable to transmit data from different driver assistance systems of different combinations of agricultural machine 1 and working unit 2 to the algorithm. It is preferably provided that several agricultural machines 1 of the agricultural work system, in particular of the same fleet, each have a driver assistance system 3 for recording, processing and outputting data relating to an agricultural work order, which is configured to record a plurality of operating parameters and to enable an operator-side classification of the recorded operating parameters or of operating parameter sets with several different recorded operating parameters, wherein individual or all classified operating parameters or sets of parameters are stored in the data pool in a retrievable manner and are transmitted, based on classification, to an algorithm for generating optimized operating parameters or sets of parameters for the setting of an agricultural machine 1 and/or at least one work unit 2.

0035The operating parameters here are in particular machine parameters, work parameters and/or environmental parameters.

0036The respective machine parameter is in particular selected from the group comprising the driving speed, the fuel consumption, the drive power delivered, the drive torque delivered, the speed of the drive shaft, the engine pressure, the switching speed, parameters of the switching characteristic, parameters of the slip control, parameters of the tractive force control, parameters of the full load control , the air pressure and/or tire type of the front and/or rear pair of tires, the weight of a front and/or rear ballast device, parameters of the front and/or rear linkage, the top link position, parameters of the traction cylinders, parameters of the hydraulic valve setting, the hollow disk position, the pull point, the pressing pressure, the contact pressure, parameters of the conditioner gap and/or parameters of the Steering system as well as changes in the settings of the respective machine parameters.

0037The respective work parameter is in particular selected from the group comprising an agricultural work order, the type and/or type of agricultural machine, the type and/or type of the respective work unit, in particular. Attachment, the mechanical, hydraulic and/or electrical connection of the respective working unit to the agricultural machine, the ISOBUS machine settings, the power requirement of the respective working unit, the working depth and/or width of the respective working unit, the area consumption and/or the area performance.

0038The respective environmental parameter is in particular selected from the group comprising the terrain profile of the field and/or the current lane, the size of the field, the current weather data, the GPS position data, the current crop type, the current population variety, the current crop condition of the field and/or the current lane (moisture, density, height), the current soil condition of the field and/or the current lane (moisture, density, soil type, soil condition), and/or the history of the field and/or the current lane, in particular the or a previous crop type, population variety, crop condition and/or soil condition. This means that not only field-related data can be used, but also track-related data.

0039The parameter sets to be classified by the operator are in particular combinations of one or more machine parameters, in particular one or more of the machine parameters mentioned, and/or one or more work parameters, in particular one or more of the work parameters mentioned, and/or one or more environmental parameters, in particular one or more the mentioned environmental parameters.

0040The algorithm here and preferably generates the optimized operating parameters or sets of parameters for certain combinations of operating parameters, in particular for certain combinations of an agricultural machine 1, a work unit 2 and one or more environmental parameters, in particular one or more of the environmental parameters mentioned.

0041The driver assistance system 3 of the proposed agricultural work system is here and preferably configured in such a way that the operator 4 can select an optimization routine, in particular via a selection menu that is displayed to him and/or transmitted acoustically. In the optimization routine, at least one predetermined operating parameter, preferably at least one machine parameter, in particular at least one of the aforementioned machine parameters, is changed according to a predetermined rule. Based on the at least one changed operating parameter, the driver assistance system 3 enables the operator 4 to classify the operating parameter or here a parameter set that contains this operating parameter and one or more further operating parameters.

0042Here and preferably, the operator 4 can select the optimization routine from the group including optimizing the quality of the machining process, optimizing the efficiency of the machining process and optimizing the machining performance.

0043Criteria for the quality of the processing process include, for example, the plow pattern, the spreading pattern, the swath position or the like, or soil damage such as soil compaction and/or soil lubrication. Criteria for the efficiency of the machining process are, for example, the fuel consumption based on the driving speed of the agricultural machine 1, the fuel consumption per unit area based on the driving speed of the agricultural machine 1, the fuel consumption related to the time required to carry out an agricultural work order or the fuel consumption per unit area related to the time required to carry out an agricultural work order. Criteria for the processing performance are, for example, the area processed per unit of time or the area processed per unit of time based on the driving speed of the agricultural machine 1.

0044Here and preferably, the driver assistance system 3 is further configured to issue one or more suggestions for the at least one operating parameter to be changed to the operator 4 after the operator has selected a corresponding optimization routine. The operator 4 is then given the opportunity to accept and/or reject the suggestion or at least one of the suggestions. For example, the operator 4 is shown a list with several suggestions, which is sorted in particular according to a specific order, for example according to the degree of expected impact on the quality of the machining process and/or on the efficiency of the machining process and/or on the machining performance. It is also conceivable that only one suggestion is displayed to the operator 4, with a new suggestion being issued after the operator 4 rejects it. Here too, a specific order in which the suggestions are issued can be provided, which is also based, for example, on the degree of expected impact on the quality of the processing process and/or on the efficiency of the processing process and/or on the processing performance.

0045After a suggestion has now been accepted by the operator, the driver assistance system 3 here and preferably executes the optimization routine in such a way that at least one changed operating parameter, in particular machine parameter, or operating parameter set with at least one changed operating parameter is generated as a result, whereupon the operator 4 then classifies the changed operating parameters or parameter set by assessing the quality of the machining process, the efficiency of the machining process or the machining performance compared to the state before the change in the operating parameter or parameter set. For assessment purposes, the driver assistance system 3 can, for example, ask the operator 4, in particular acoustically and/or visually, the question of whether an improvement in the quality of the machining process or the efficiency of the machining process or the machining performance can be determined. The operator 4 can then answer the question, for example with “yes” or “no”, in particular by voice input, touchscreen input or key input.

0046Finally, the driver assistance system 3 can be configured to carry out a meaningfulness assessment of data input by the operator 4. It can happen that the operator 4 makes an incorrect entry, for example, which would lead to an incorrect classification. The driver assistance system 3 can then verify, according to specified regulations, whether the input makes sense or not. In this way, incorrectly classified operating parameters or parameter sets can be prevented from being stored in the data pool and transmitted to the algorithm.

0047Shows an exemplary sequence of a method for optimizing operating parameters using a proposed agricultural work system<figref idref="f0002">Fig. 2</figref>.

0048The driver assistance system 3 detects different operating parameters in various ways, for example via one or more sensors 5 of the agricultural machine 1 and/or via one or more sensors 6 of the respective work unit 2. There is also the possibility of using sensor fusion, in which data from different the sensors 5, 6 can be linked in order to obtain information of better quality. Furthermore, according to<figref idref="f0002">Fig. 2</figref> the driver assistance system 3 is provided with a touchscreen 8 and/or a microphone 9 for operator data entry. To output data to the operator 4, the driver assistance system 3 is here and preferably provided with a loudspeaker 11 and the touchscreen 8.

0049In the exemplary embodiment of the proposed method shown here, the operator 4 can start an optimization routine (arrow 15), whereupon the driver assistance system 3 generates a list of suggestions in the form of changeable machine parameters (symbol 16).

0050The list with the generated suggestions is then output to the operator 4, for example in natural language (arrow 17).

0051The operator 4 then selects a suggestion from the list (arrow 18), whereupon the driver assistance system 3 generates at least one changed machine parameter (symbol 19) and transmits a corresponding control command to the agricultural machine 1 and/or the work unit 2 (arrow 20).

0052The agricultural machine 1 and/or the work unit 2 then changes the parameter settings accordingly. It is also conceivable, particularly if no automatically adjustable actuator is provided, for the driver to change the parameter setting himself, for example setting a different upper link position by bolting the upper link differently. This can change the work result, for example the quality of the machining process, the efficiency of the machining process or the machining performance.

0053Optionally, the changed machine parameter(s) can also be determined via sensors 5, 6 of the agricultural machine 1 and/or the work unit 2 and transmitted to the driver assistance system 3 (arrow 21).

0054After the at least one machine parameter has been changed, the driver assistance system 3 generates a query (symbol 22), which is transmitted to the operator 4, possibly together with the display of the changed machine parameter or an operating parameter set with the changed machine parameter (arrow 23).

0055The operator 4 then carries out a decision-making process based on an assessment of the overall situation (symbol 24) and transmits the result to the driver assistance system (arrow 25) by appropriate input, for example via the touchscreen 8 or the microphone 9.

0056The driver assistance system 3 then processes the data, which includes, for example, linking the changed machine parameter with other operating parameters, for example environmental parameters (symbol 26). Here, the driver assistance system 3 can also carry out an evaluation of the usefulness of data entries made by the operator.

0057The processed data is then transferred to the cloud 14, which has a computer 12 for applying an algorithm to generate optimized operating parameters or parameter sets and a data storage 13 for storing the classified operating parameters or parameter sets and, if necessary, for storing the optimized ones generated by applying the algorithm Has operating parameters or parameter sets (arrow 27).

0058The optimized operating parameters or sets of parameters generated by the algorithm can finally be transferred to different combinations 1 ', 2' of agricultural machine 1 and work unit 2 and used by them as operating parameters or sets of parameters optimized for the respective application, preferably also the different ones combinations 1', 2' of the agricultural machine 1 and work unit 2 can transfer its own data to the cloud 14, in particular in the previously described manner, optimized operating parameters or parameter sets generated by a corresponding algorithm (arrow 28).

Reference symbol list

0059<dl id="dl0002" compact="compact"><dt>1</dt><dd>Agricultural working machine</dd><dt>2</dt><dd>Working aggregate</dd><dt>3</dt><dd>Driver assistance system</dd><dt>4</dt><dd>operator</dd><dt>5, 6</dt><dd>Sensors</dd><dt>7</dt><dd>Input device</dd><dt>8</dt><dd>Touch screen</dd><dt>9</dt><dd>microphone</dd><dt>10</dt><dd>output device</dd><dt>11</dt><dd>speaker</dd><dt>12</dt><dd>calculator</dd><dt>13</dt><dd>Data storage</dd><dt>14</dt><dd>external computer network (cloud)</dd><dt>15-28</dt><dd>Flowchart symbols</dd><dt>1', 2'</dt><dd>Work machine/work unit combinations</dd></dl>