Load Cell Drift Detection for Mobile Scale Weighing

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Solution Overview

Problem

Agricultural scale systems face challenges in diagnosing load cell faults efficiently due to harsh environmental conditions and signal noise, requiring time-consuming manual testing and specialized expertise, which affects farm efficiency and data reliability.

Innovation Solution

A scale system with integrated load cell fault detection and compensation, utilizing a microprocessor and AI module to classify system states, identify malfunctions, and generate simulated signals to maintain accurate weight measurements.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If manual testing and specialized expertise are used to diagnose load cell faults, then diagnostic accuracy can be achieved, but time consumption and operational efficiency deteriorate

Engineering Contradiction:

Improvediagnostic accuracyVSAvoidfault diagnosis time

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The scale system performs self-diagnosis by automatically monitoring load cell signals, detecting faults, and identifying problematic components without requiring external technical expertise or manual testing procedures

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system continuously monitors load cell signals and detects potential faults before they cause complete system failure, enabling early intervention and reducing overall diagnostic time

Inventive Principle:

Principle #10Preliminary action

2Device complexity

If individual load cell signals are merged in a junction box, then system simplicity is maintained, but fault identification capability deteriorates

Engineering Contradiction:

Improvesystem structure simplicityVSAvoidfault identification difficulty

Core Design Contradiction:

Device complexityVSDifficulty of detecting and measuring

Solution Approach 1:

The system processes and analyzes signals from each load cell individually before aggregation, enabling fault isolation to specific cells while maintaining the simplified junction box architecture for signal merging

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The control unit acts as an intermediary that receives individual load cell signals, performs diagnostic analysis, and then processes the aggregated weight information, separating the diagnostic function from the signal aggregation function

Inventive Principle:

Principle #24Intermediary (Mediator)

3Adaptability or versatility

If signal noise from mobile storage carrier movement is present, then system adaptability to dynamic conditions is maintained, but measurement precision deteriorates

Engineering Contradiction:

Improvedynamic condition toleranceVSAvoidweight measurement accuracy

Core Design Contradiction:

Adaptability or versatilityVSMeasurement precision

Solution Approach 1:

The system dynamically adjusts its operation by detecting motion states and automatically pausing weight measurements during movement, while continuing to monitor load cell signals for fault detection regardless of motion status

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system uses feedback from load cell signal stability analysis to determine when the storage carrier is stationary versus in motion, enabling conditional measurement acquisition that maintains precision while adapting to dynamic conditions

Inventive Principle:

Principle #23Feedback

4Reliability

If continuous monitoring of all load cells is implemented, then fault detection capability is improved, but energy consumption and processing load increase

Engineering Contradiction:

Improvefault detection capabilityVSAvoidprocessing energy consumption

Core Design Contradiction:

ReliabilityVSUse of energy by moving object

Solution Approach 1:

The system performs periodic stability checks on load cell signals at scheduled intervals rather than continuous analysis, reducing processing energy consumption while maintaining effective fault detection capability

Inventive Principle:

Principle #19Periodic action

Solution Approach 2:

The system changes monitoring parameters dynamically, increasing scrutiny when faults are detected and reducing monitoring intensity during normal operation to optimize energy consumption

Inventive Principle:

Principle #35Parameter changes

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

Facilitates quick fault detection and compensation, ensuring reliable weight measurements and reducing downtime by automating diagnostics and enhancing data accuracy in dynamic agricultural conditions.

Implementation Method 1

a plurality of load cells mounted on the storage carrier to detect weight changes based on mechanical deformations

Methodology Applied

Scientific EffectMechanical deformation: Deformation

Data Source

PatentUS20250297886A1Load cell weighing and drift detection in a electronic scale system

Publication Date: 2025.09.25 SCALE TEC LTD

AI summary

Microprocessor for a scale system for a mobile storage carrier operates in three states: motion, stable, and fault where stability is determined based on load cell signal variations or external sources and a fault state follows a stable state in response to signal drift in one or more load cells.