Soil Layer Characterization via Radar and Load Sensor Fusion

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Solution Overview

Problem

Existing systems for determining subsurface soil layer characteristics during tillage operations face inaccuracies due to varying soil conditions, which can lead to improper cultivation and seedbed formation.

Innovation Solution

A system that combines RADAR sensors and load sensors with a controller to capture and process data indicative of subsurface soil layer characteristics, using differential calculations to calibrate and correct for inaccuracies in RADAR data, providing a more accurate assessment of soil conditions.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Difficulty of detecting and measuring

If RADAR sensors are used to capture subsurface soil layer characteristics, then measurement capability is improved, but measurement precision deteriorates due to varying soil conditions causing inaccurate indications

Engineering Contradiction:
Improvesubsurface soil layer characteristic detectionVSAvoidRADAR data accuracy
Core Design Contradiction:
Difficulty of detecting and measuringVSMeasurement precision

Solution Approach 1:

The patent introduces load sensor data as an intermediary element to mediate between the RADAR sensor and the subsurface soil layer characteristics. The load sensor directly measures soil resistance during implement operation, serving as a reference that corrects RADAR measurements. This intermediary measurement compensates for RADAR inaccuracies caused by varying soil conditions, thereby improving overall measurement precision without sacrificing detection capability

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The system implements feedback by using load sensor measurements to validate and correct RADAR sensor readings. The controller continuously compares RADAR-derived subsurface characteristics with load sensor-derived characteristics, and when discrepancies are detected, the system adjusts or recalibrates the RADAR interpretation based on the more reliable load data. This feedback loop maintains measurement precision despite varying soil conditions

Inventive Principle:
Principle #23Feedback

2Measurement precision

If multiple sensors are combined to improve measurement accuracy, then measurement precision is improved, but device complexity increases

Engineering Contradiction:
Improvesubsurface soil layer characteristic determinationVSAvoidsensor system configuration
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent applies multi-functionality by using the load sensor data for multiple purposes: it serves as a direct measurement of soil characteristics, as a reference for calibrating RADAR measurements, and as a validator for subsurface layer identification. This universal use of load data maximizes measurement precision while minimizing the need for additional specialized sensors, thereby controlling device complexity

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

Solution Approach 2:

The system merges RADAR sensor data and load sensor data into a unified subsurface soil layer characteristic determination process. The controller integrates both data streams, combining the non-contact RADAR measurements with the direct mechanical load measurements to produce a single, more accurate assessment of subsurface conditions. This merging approach achieves high measurement precision through data fusion rather than through complex individual sensor systems

Inventive Principle:
Principle #5Merging (Combining)

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

This approach enables more precise determination of subsurface soil layer characteristics, improving agricultural implement control and resulting in superior field surface conditions and agricultural outcomes.

Implementation Method 1

some tillage implements include one or more radio detection and ranging (RADAR) sensors that capture radar data of the subsurface soil layer(s) within the field

Methodology Applied
Scientific EffectRADAR (Radio Detection and Ranging): Radar

Implementation Method 2

the load sensor may be configured to capture data indicative of a load applied to the agricultural implement by soil within the field

Methodology Applied
Scientific EffectLoad sensing: Force

Data Source

PatentUS11470763B2System and method for determining subsurface soil layer characteristics based on RADAR and load data
Publication Date: 2022.10.18 CNH IND CANADA
  • US11470763B2 patent drawing
  • US11470763B2 patent drawing
  • US11470763B2 patent drawing

AI summary

In one aspect, a system for determining subsurface soil layer characteristics as an agricultural implement is towed across a field by a work vehicle may include a RADAR sensor configured to capture data indicative of a subsurface soil layer characteristic of the field. Furthermore, the system may include a load sensor configured to capture data indicative of a load applied to the agricultural implement by soil within the field, with the load being indicative of the subsurface soil layer characteristic. Additionally, a controller of the system may be configured to determine a first value of the subsurface soil layer characteristic based on the data received from the RADAR and a second value of the subsurface soil layer characteristic based on the data received from the load sensor. Moreover, the controller may be configured to determine a differential between the first value and the second value.