Agricultural Machine Management System for Operator Behavior Prediction

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Solution Overview

Problem

Current systems for agricultural working machines have limited ability to predict the movement and operational readiness of machines, leading to inefficiencies in initiating switching and actuation processes, particularly due to inadequate consideration of operator behavior and geographic information.

Innovation Solution

An electronic machine management system with an adaptive monitoring module that collects and evaluates data from multiple work cycles, including operator behavior and geographic information, to improve prediction accuracy by transmitting signals to a machine-specific module for timely component state adjustments, such as entering a stand-by state.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If basic speed prediction methods are used based on current speed measurements, then some delay reduction in distribution rate is achieved, but the prediction quality remains limited due to insufficient consideration of available information about current operation

Engineering Contradiction:
Improveprediction qualityVSAvoidavailable information about current operation
Core Design Contradiction:
Measurement precisionVSLoss of information

Solution Approach 1:

The system performs preliminary actions by collecting and storing information from multiple working cycles before the actual prediction is needed. The adaptive monitoring module continuously gathers data about operator driving behavior, geographic information, and machine operation parameters during previous cycles, preparing this information in advance to enable more accurate predictions when needed.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system implements feedback by using evaluated information from past working cycles to continuously improve prediction accuracy. The monitoring module evaluates collected information and feeds it back into the prediction system, allowing the machine-specific module to adjust component switching timing based on learned patterns from previous operations, thereby reducing information loss and improving prediction quality.

Inventive Principle:
Principle #23Feedback

2Productivity

If component switching is initiated based on limited prediction capability, then some operational readiness is achieved, but delays occur in distribution rate due to inadequate timing

Engineering Contradiction:
Improveoperational readinessVSAvoiddelay in distribution rate
Core Design Contradiction:
ProductivityVSLoss of time

Solution Approach 1:

The system performs preliminary switching actions by activating components into standby states before they are actually needed for operation. Based on evaluated information from multiple working cycles, the machine-specific module initiates component switching in advance, ensuring operational readiness is established beforehand and eliminating delays in the distribution rate during actual work execution.

Inventive Principle:
Principle #10Preliminary action

3Measurement precision

If more information from multiple working cycles is collected and evaluated, then prediction accuracy improves, but system complexity increases

Engineering Contradiction:
Improveprediction accuracyVSAvoidsystem complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The adaptive monitoring module serves multiple functions: it collects information from sensors, evaluates data from multiple working cycles, identifies operator behavior patterns, and generates predictions. This multi-functional approach consolidates what could be separate complex systems into a single integrated module, improving prediction accuracy without proportionally increasing overall system complexity.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Data Source

PatentEP2944174B1Electronic machine management system
Publication Date: 2018.08.08 AMAZONEN WERKE H DREYER GMBH & CO KG
  • EP2944174B1 patent drawingFigure 1
  • EP2944174B1 patent drawingFigure 2
  • EP2944174B1 patent drawingFigure 3

AI summary

Electronic Machine Management System: An electronic machine management system for initiating switching and/or positioning operations in agricultural machinery, comprising a learning monitoring module that records and evaluates information from several work cycles of the agricultural machinery (100) regarding the driving behavior of an operator of the agricultural machinery (100), and a machine-specific module that can control components of the agricultural machinery (100), wherein the monitoring module can transmit an indicative signal for a planned event to the machine-specific module as a function of the evaluated information before the event occurs, and wherein the machine-specific module can, as a function of this signal, put at least one of the components into a standby state in which the component is brought into a state that is at least partially ready for operation.can displace and is a method for initiating switching and/or positioning processes in agricultural machinery.