US-20260123578-A1 - GROUND SPEED AUTOMATION AND TERRAIN

Abstract

A system includes: one or more processors; and memory storing instructions, executable by the one or more processors. The instructions, when executed by the one or more processors configure the one or more processors to: obtain data indicative of a ride quality issue at an upcoming location at a worksite at which a work machine performs a current operation; identify a ride quality issue at the upcoming location at the worksite based on the data; and control the work machine based, at least, on the ride quality issue at the upcoming location at the worksite.

Inventors

• NICHOLAS C. BALTZ
• Cody W. Best
• Nathan R. Vandike
• Tucker J. Schoff
• Tessa N. Pottebaum

Assignees

• DEERE & COMPANY

Dates

Publication Date

20260507

Application Date

20241101

Claims (20)

1. 1 . A system comprising: one or more processors; and memory storing instructions, executable by the one or more processors, that, when executed by the one or more processors, configure the one or more processors to: obtain data indicative of a ride quality issue at an upcoming location at a worksite at which a work machine performs a current operation; identify a ride quality issue at the upcoming location at the worksite based on the data; and control the work machine based, at least, on the ride quality issue at the upcoming location at the worksite.
2. 2 . The system of claim 1 , wherein the data comprises one of: (i) proximate data corresponding to a location at the worksite different than the upcoming location; (ii) prior operation data generated during a prior operation at the worksite; or (iii) remote data generated by a system remote from the worksite.
3. 3 . The system of claim 2 , wherein the work machine comprises a first work machine having a first machine type and wherein the prior operation is conducted by a second work machine having a second machine type, different than the first machine type.
4. 4 . The system of claim 2 , wherein the data indicates one or more of: (i) machine speed; (ii) machine bouncing; or (iii) a terrain characteristic.
5. 5 . The system of claim 1 , wherein the data is generated by one or more sensors of the work machine and corresponds to a location at the worksite different than the upcoming location.
6. 6 . The system of claim 1 , wherein the instructions, when executed by the one or more processors, further configure the one or more processors to: compare the data to a threshold; and identify the ride quality issue at the upcoming location at the worksite based on comparison of the data to the threshold.
7. 7 . The system of claim 6 , wherein the threshold is identified during the current operation based on operator control adjustment data corresponding to a location at the worksite different than the upcoming location, the operator control adjustment data indicating an operator adjustment to the work machine.
8. 8 . The system of claim 1 , wherein the data includes a first machine setting value and wherein the instructions when executed by the one or more processors, further configure the one or more processors to: identify a second machine setting value based on the first machine setting value, the second machine setting value matching the first machine setting value; and control the work machine based, at least, on the second machine setting value.
9. 9 . The system of claim 1 , wherein the data includes a first machine setting value and wherein the instructions when executed by the one or more processors, further configure the one or more processors to: scale the first machine setting value to identify a second machine setting value; and control the work machine based, at least, on the second machine setting value.
10. 10 . The system of claim 1 , wherein the instructions when executed by the one or more processors, further configure the one or more processors to control the work machine by controlling one or more of: (i) an interface mechanism of the work machine to generate a presentation; (ii) a propulsion subsystem of the work machine to change a speed of the work machine; (iii) an actuator of the work machine to adjust a position of an implement of the work machine; or (iv) an actuator of the work machine to adjust a biasing force applied to an implement of the work machine.
11. 11 . A computer-implemented method of controlling an agricultural work machine comprising: obtaining data indicative of a ride quality issue at an upcoming location at a worksite at which the work machine performs a current operation; identifying a ride quality issue corresponding to the upcoming location at the worksite based on the data; controlling the work machine based, at least, on the ride quality issue corresponding to the upcoming location at the worksite.
12. 12 . The computer-implemented method of claim 11 , wherein obtaining the data comprises obtaining one or more of: (i) proximate data corresponding to a location at the worksite different than the upcoming location; (ii) prior operation data generated during a prior operation at the worksite; or (iii) remote data generated by a system remote from the worksite.
13. 13 . The computer-implemented method of claim 11 , wherein obtaining the data comprises obtaining data indicative one or more of: (i) machine speed; (ii) machine bouncing; or (iii) a terrain characteristic.
14. 14 . The computer-implemented method of claim 13 , wherein obtaining the data comprises obtaining sensor data corresponding to a location of the worksite different than the upcoming location and generated by one or more sensors of the work machine.
15. 15 . The computer-implemented method of claim 11 , wherein controlling the work machine comprises one or more of: (i) controlling an interface mechanism of the work machine to generate a presentation; (ii) controlling a propulsion subsystem of the work machine to change a speed of the work machine; (iii) controlling an actuator of the work machine to adjust a position of an implement of the work machine; or (iv) controlling an actuator of the work machine to adjust a biasing force applied to an implement of the work machine.
16. 16 . An agricultural work machine comprising: one or more processors; and memory storing instructions, executable by the one or more processors, that, when executed by the one or more processors, configure the one or more processors to: obtain data indicative of a ride quality issue corresponding to an upcoming location at a worksite at which the work machine performs a current operation; identify a ride quality issue corresponding to the upcoming location at the worksite based on the data; and control the work machine based, at least, on the ride quality issue corresponding the upcoming location at the worksite.
17. 17 . The work machine of claim 16 , wherein the data comprises one or more of: (i) proximate data corresponding to a location at the worksite different than the upcoming location; (ii) prior operation data generated during a prior operation at the worksite; or (iii) remote data generated by a system remote from the worksite.
18. 18 . The work machine of claim 16 , the data is indicative one or more of: (i) machine speed; (ii) machine bouncing; or (iii) a terrain characteristic.
19. 19 . The work machine of claim 18 , wherein the data comprises sensor data corresponding to a location of the worksite different than the upcoming location and generated by one or more sensors of the work machine.
20. 20 . The work machine of claim 16 , wherein the instructions when executed by the one or more processors, further configure the one or more processors to control the work machine by controlling one or more of: (i) an interface mechanism of the work machine to generate a presentation; (ii) a propulsion subsystem of the work machine to change a speed of the work machine; (iii) an actuator of the work machine to adjust a position of an implement of the work machine; or (iv) an actuator of the work machine to adjust a biasing force applied to an implement of the work machine.

Description

FIELD OF THE DESCRIPTION The present description relates to work machine operations. More specifically, the present description relates to perception sensor systems used in control of work machines, such as agricultural work machines. BACKGROUND There are a wide variety of different types of work machines. Some such work machines include agricultural work machine, such as, but not limited to, agricultural harvesters (e.g., combine harvesters, etc.). As terrain over which a work machine travels during an operation varies, so too can the ride quality. Poor ride quality can affect machine operation as well as operator comfort. The discussion above is merely provided for general background information and is not intended to be used as an aid in determining the scope of the claimed subject matter. SUMMARY A system includes: one or more processors; and memory storing instructions, executable by the one or more processors. The instructions, when executed by the one or more processors configure the one or more processors to: obtain data indicative of a ride quality issue at an upcoming location at a worksite at which a work machine performs a current operation; identify a ride quality issue at the upcoming location at the worksite based on the data; and control the work machine based, at least, on the ride quality issue at the upcoming location at the worksite. This Summary is provided to introduce a selection of concepts in a simplified form that are further described below in the Detailed Description. This Summary is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used as an aid in determining the scope of the claimed subject matter. The claimed subject matter is not limited to implementations that solve any or all disadvantages noted in the background. BRIEF DESCRIPTION OF THE DRAWINGS FIG. 1 is a partial pictorial, partial schematic illustration showing an example work machine in the form of an agricultural harvester. FIG. 2 is a block diagram of one example system architecture. FIG. 3 is a block diagram showing some examples of components of the system architecture, including dynamic perception monitoring system, in more detail. FIG. 4 is a pictorial illustration showing one example of the operation of the system architecture. FIG. 5 shows a flow diagram illustrating one example operation of the system architecture in performing proactive ride quality control. FIG. 6 is a block diagram showing one example of items of a system architecture in communication with a remote server architecture. FIGS. 7, 8, and 9 show examples of mobile devices that can be used in a system architecture. FIG. 10 is a block diagram showing one example of a computing environment that can be used in a system architecture. DETAILED DESCRIPTION For the purpose of promoting an understanding of the principles of the present disclosure, reference will now be made to the examples illustrated in the drawings, and specific language will be used to describe the same. It will nevertheless be understood that no limitation of the scope of the disclosure is intended. Any alterations and further modifications to the described devices, systems, methods, and any further application of the principles of the present disclosure are fully contemplated as would normally occur to one skilled in the art to which the disclosure relates. In particular, it is fully contemplated that the features, components, and/or steps described with respect to one example can be combined with the features, components, and/or steps described with respect to other examples of the present disclosure. As discussed above, ride comfort of a work machine can vary with terrain. For instance, ride comfort may be reduced when traveling over rougher terrain. Additionally, there is a general desire to complete worksite operations quickly. The rate at which a work machine completes a worksite operation is often tied directly to the travel speed of the work machine. Thus, in order to perform a worksite operation more quickly, it may be desirable to cause the work machine to travel more quickly. Increase in speed, along with terrain variance, may further reduce ride comfort. For example, ride comfort may be more greatly reduced when traveling over rough terrain at a higher speed than at a lower speed. Ride comfort generally correlates with bouncing of the work machine (bouncing along the vertical axis (bouncing up and down), bouncing along the lateral axis (bouncing/swaying side-to-side), and bouncing along the longitudinal axis (bouncing/rocking back-and-forth). Change in characteristics of terrain (also referred to as change in terrain or terrain change) over which a work machine travels can affect (increase or decrease) the amount the work machine bounces and thus, the ride quality. Reduced ride quality can negatively impact operator comfort or negatively impact work machine performance (e.g., cause components (e.g., imp