Predictive Material Dynamics Control for Mobile Machine Spillage

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Solution Overview

Problem

Mobile machines face challenges in managing material dynamics, such as movement and spillage, which can lead to instability, increased load on components, and reduced profitability due to spillage, waste, and increased costs.

Innovation Solution

A system utilizing in-situ sensors to detect characteristics and material dynamics, generating predictive models to control mobile machines, and creating predictive maps to manage material dynamics, such as movement and spillage, by integrating in-situ data with historical and predicted data.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If material is transported in mobile machines, then productivity is improved, but material spillage and instability occur

Engineering Contradiction:

Improvematerial transport efficiencyVSAvoidmaterial spillage

Core Design Contradiction:

ProductivityVSLoss of substance

Solution Approach 1:

The system performs preliminary actions by detecting material characteristics and dynamics before spillage occurs, then adjusts transport parameters proactively to prevent spillage while maintaining productivity

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system implements continuous feedback by monitoring material dynamics characteristics and using this information to adjust transport parameters in real-time, preventing spillage while maintaining efficient material transport

Inventive Principle:

Principle #23Feedback

2Productivity

If material is transported in mobile machines, then productivity is improved, but machine instability occurs

Engineering Contradiction:

Improvematerial transport efficiencyVSAvoidmachine stability

Core Design Contradiction:

ProductivityVSStability of the object's composition

Solution Approach 1:

The system detects material dynamics characteristics before instability occurs and adjusts transport parameters in advance to maintain machine stability while continuing productive operation

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system continuously monitors material dynamics and provides feedback to adjust transport parameters, maintaining machine stability during material transport operations

Inventive Principle:

Principle #23Feedback

3Loss of substance

If material dynamics are monitored and controlled, then spillage is reduced, but device complexity increases

Engineering Contradiction:

Improvematerial spillageVSAvoidsystem complexity

Core Design Contradiction:

Loss of substanceVSDevice complexity

Solution Approach 1:

The system uses self-service by leveraging existing in-situ sensors to detect material characteristics and dynamics, eliminating the need for additional specialized sensors and reducing overall system complexity

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system introduces a predictive model generator as an intermediary that processes sensor data and generates control signals, simplifying the control architecture while effectively reducing spillage

Inventive Principle:

Principle #24Intermediary (Mediator)

Data Source

PatentUS20260083056A1Systems and methods for predicting material dynamics

Publication Date: 2026.03.26 DEERE & CO

AI summary

A first in-situ sensor detects a characteristic value as a mobile machine operates at a worksite. A second in-situ sensor detects a material dynamics characteristic value as the mobile machine operates at the worksite. A predictive model generator generates a predictive model that models a relationship between the characteristic and the materials dynamics characteristic based on the characteristic value detected by the first in-situ sensor and the material dynamics characteristic value detected by the second in-situ sensor. The predictive model can be output and used in automated machine control.