IP Library › Granted Patent US 11,864,483
Granted Patent B2
US 11,864,483 · App. 17/066,929 · Granted Jan 9, 2024

Predictive map generation and control system

Inventors: Nathan R. Vandike (Geneseo, IL); Bhanu Kiran Reddy Palla (Bettendorf, IA); Noel W. Anderson (Fargo, ND); Stephen R. Corban (Geneseo, IL)
Assignee: Deere & Company
A01B69/004G05D1/0044G05D1/0274G05D1/0278H05K7/20918G05D2201/0201
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Quick Facts
Patent No.
US 11,864,483
App. No.
17/066,929
Granted
Jan 9, 2024
Kind
B2
Abstract

One or more information maps are obtained by an agricultural work machine. The one or more information maps map one or more agricultural characteristic values at different geographic locations of a field. An in-situ sensor on the agricultural work machine senses an agricultural characteristic as the agricultural work machine moves through the field. A predictive map generator generates a predictive map that predicts a predictive agricultural characteristic at different locations in the field based on a relationship between the values in the one or more information maps and the agricultural characteristic sensed by the in-situ sensor. The predictive map can be output and used in automated machine control.

Claims (46)

1. An agricultural work machine comprising:

a communication system that receives an information map that includes values of a power characteristic corresponding to different geographic locations in a field;

a geographic position sensor that detects a geographic location of the agricultural work machine;

an in-situ sensor that detects a value of an agricultural characteristic corresponding to a geographic location;

a predictive map generator that generates a functional predictive agricultural map of the field that maps predictive control values to the different geographic locations in the field based on the values of the power characteristic in the information map and based on the value of the agricultural characteristic;

a cooling subsystem; and

a control system that generates a control signal to control the cooling subsystem based on the geographic position of the agricultural work machine and based on the control values in the functional predictive agricultural map.

2. The agricultural work machine of claim 1 , wherein the predictive map generator comprises:

a predictive temperature map generator that generates, as the functional predictive agricultural map, a functional predictive temperature map that maps, as the predictive control values, predictive temperature values to the different geographic locations in the field.

3. The agricultural work machine of claim 1 , wherein the control system controls the cooling subsystem to adjust a cooling fan speed.

4. The agricultural work machine of claim 1 , wherein the control system controls the cooling subsystem to adjust a cooling fan pitch.

5. The agricultural work machine of claim 1 , wherein the predictive map generator comprises:

a predictive operator command map generator that generates, as the functional predictive agricultural map, a functional predictive operator command map that maps, as the predictive control values, predictive operator commands to the different geographic locations in the field.

6. The agricultural work machine of claim 5 , wherein the control system comprises:

a settings controller that generates an operator command control signal indicative of an operator command based on the detected geographic location and the functional predictive operator command map and controls the controllable subsystem based on the operator command control signal to execute the operator command.

7. The agricultural work machine of claim 1 , wherein the information map comprises a historical power map that maps, as the values of the power characteristic, historical power characteristic values to the different geographic locations in the field.

8. The agricultural work machine of claim 1 , wherein the control system further comprises:

an operator interface controller that generates a user interface map representation of the functional predictive agricultural map, the user interface map representation comprising a field portion with one or more markers indicating the predictive control values at one or more geographic locations on the field portion.

9. The agricultural work machine of claim 8 , wherein the operator interface controller generates the user interface map representation to include an interactive display portion that displays a value display portion indicative of a selected value, an interactive threshold display portion indicative of an action threshold, and an interactive action display portion indicative of a control action to be taken when one of the predictive control values satisfies the action threshold in relation to the selected value, the control system generating the control signal to control the controllable subsystem based on the control action.

10. A computer implemented method of controlling an agricultural work machine comprising:

obtaining an information map that includes values of a power characteristic corresponding to different geographic locations in a field;

detecting a geographic location of the agricultural work machine;

detecting, with an in-situ sensor, a value of an agricultural characteristic corresponding to a geographic location;

generating a functional predictive agricultural map of the field that maps predictive control values to the different geographic locations in the field based on the values of the power characteristic in the information map and based on the value of the agricultural characteristic; and

controlling a cooling subsystem based on the geographic position of the agricultural work machine and based on the control values in the functional predictive agricultural map.

11. The computer implemented method of claim 10 , wherein generating a functional predictive map comprises:

generating, as the functional predictive map, a functional predictive temperature map that maps, as the predictive control values, predictive temperature values to the different geographic locations in the field.

12. The computer implemented method of claim 10 , wherein controlling the cooling subsystem comprises:

controlling a fan speed of the cooling subsystem.

13. The computer implemented method of claim 10 , wherein controlling the cooling subsystem comprises:

controlling a fan pitch of the cooling subsystem.

14. The computer implemented method of claim 10 , wherein generating a functional predictive map comprises:

generating, as the functional predictive map, a functional predictive operator command map that maps, as the predictive control values, predictive operator commands to the different geographic locations in the field.

15. The computer implemented method of claim 14 , wherein controlling the controllable subsystem comprises:

generating an operator command control signal indicative of an operator command based on the detected geographic location and the functional predictive operator command map; and

controlling the controllable subsystem based on the operator command control signal to execute the operator command.

16. The computer implemented method of claim 10 and further comprising:

generating a predictive agricultural model that models a relationship between the power characteristic and the agricultural characteristic based on a value of the power characteristic in the information map at the geographic location and a value of the agricultural characteristic sensed by the in-situ sensor at the geographic location, wherein generating the functional predictive agricultural map comprises generating the functional predictive agricultural map based on the values of the power characteristic in the information map and based on the predictive agricultural model.

17. An agricultural work machine comprising:

a communication system that receives an information map that includes values of a power characteristic corresponding to different geographic locations in a field;

a geographic position sensor that detects a geographic location of the agricultural work machine;

an in-situ sensor that detects a value of an agricultural characteristic corresponding to a geographic location;

a predictive model generator that generates a predictive agricultural model that models a relationship between the power characteristic and the agricultural characteristic based on a value of the power characteristic in the information map at the geographic location and a value of the agricultural characteristic sensed by the in-situ sensor at the geographic location;

a predictive map generator that generates a functional predictive agricultural map of the field that maps predictive control values to the different geographic locations in the field based on the values of the power characteristic in the information map and based on the predictive agricultural model;

a cooling subsystem; and

a control system that generates a control signal to control the cooling subsystem based on the geographic position of the agricultural work machine and based on the control values in the functional predictive agricultural map.

Assignments (2)
CORRECTIVE ASSIGNMENT TO CORRECT THE ASSIGNEE'S ZIP CODE PREVIOUSLY RECORDED ON REEL 054018 FRAME 0421. ASSIGNOR(S) HEREBY CONFIRMS THE ASSIGNEE'S ZIP CODE SHOULD BE MOLINE, ILLINOIS 61265. Recorded Nov 5, 2020
From: VANDIKE, NATHAN R.; PALLA, BHANU KIRAN REDDY; ANDERSON, NOEL W.; CORBAN, STEPHEN R.
To: DEERE & COMPANY
Reel/Frame 054313/0311 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Oct 9, 2020
From: VANDIKE, NATHAN R.; PALLA, BHANU KIRAN REDDY; ANDERSON, NOEL W.; CORBAN, STEPHEN R.
To: DEERE & COMPANY
Reel/Frame 054018/0421 →
Continuity (1)
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