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Predictive dynamical map generation and control system

A technology of generators and dynamic characteristics, applied in control/regulation systems, non-electric variable control, vehicle position/route/height control, etc., can solve problems such as difficulties

Pending Publication Date: 2022-04-12
DEERE & CO
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Maintaining efficient distribution of power from a limited amount of power to many different subsystems across changing field conditions is difficult

Method used

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  • Predictive dynamical map generation and control system
  • Predictive dynamical map generation and control system
  • Predictive dynamical map generation and control system

Examples

Experimental program
Comparison scheme
Effect test

example 1

[0140] Example 1 is an agricultural work machine comprising:

[0141] a communication system that receives an information map including values ​​of a first agricultural characteristic corresponding to different geographic locations in a field;

[0142] a geographic location sensor that detects the geographic location of the agricultural work machine;

[0143] an on-site sensor that detects a value of a dynamic characteristic of the agricultural work machine corresponding to the geographic location, the dynamic characteristic of the agricultural work machine being a second agricultural characteristic;

[0144] a predictive model generator based on the value of the first agricultural characteristic at the geographic location in the information map and the second agricultural characteristic sensed by the field sensor at the geographic location to generate a predictive agricultural model that models the relationship between the first agricultural characteristic and the second agr...

example 2

[0146] Example 2 is the agricultural work machine of any or all of the preceding examples, wherein the predictive map generator configures the functional predictive agricultural map for use by a control system that generates a control map based on the functional predictive agricultural map signals to control controllable subsystems on the agricultural work machine.

example 3

[0147] Example 3 is the agricultural work machine of any or all of the preceding examples, wherein the field sensor on the agricultural work machine is configured to detect power usage of one or more subsystems corresponding to the geographic location, the power usage as the value of the second agricultural property.

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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 the field. A field sensor on an agricultural work machine senses agricultural characteristics as the agricultural work machine moves across a field. A predictive map generator generates a predictive map that predicts predicted agricultural characteristics at different locations in the field based on a relationship between the values in the one or more information maps and the agricultural characteristics sensed by the field sensor. The predictive map may be output and used for automated machine control.

Description

technical field [0001] This instruction manual relates to agricultural machines, forestry machines, construction machines and lawn management machines. Background technique [0002] There are various different types of agricultural machines. Some agricultural machines include harvesters such as combines, sugar cane harvesters, cotton harvesters, self-propelled forage harvesters, and windrowers. Some harvesters can also be equipped with different types of headers to harvest different types of crops. [0003] Agricultural harvesters typically include an engine or other power source that generates a limited amount of power that is provided to various subsystems of the agricultural harvester. Maintaining an efficient distribution of power from a limited amount of power to a variety of different subsystems is difficult across changing field conditions. [0004] The above discussion is provided as general background information only and is not intended to be used as an aid in d...

Claims

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Application Information

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IPC IPC(8): A01D41/127
CPCA01B69/00A01B79/005G05D1/0274A01D41/127G06N20/00G05D1/0212G01C21/3826G01C21/3848G01D21/00G01C21/3841
Inventor 内森·R·范迪克巴努·基兰·雷迪·帕拉诺埃尔·W·安德森
Owner DEERE & CO