Microcontroller Diagnostic Module for Predictive Fault Detection

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Solution Overview

Problem

Existing monitoring systems for industrial and non-industrial equipment fail to effectively detect and predict operational failures, often shutting down systems due to preconfigured settings without addressing the underlying issues, leading to repeated shutdowns and potential damage.

Innovation Solution

A portable diagnostic module configured as a microcontroller-based board that can be added to or removed from systems, equipped with multiple communication ports, sensors, and network connectivity, allowing for real-time data collection, analysis, and prediction of potential failures, and capable of reconfiguring to accommodate different sensor types and systems.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If preconfigured settings are used for monitoring, then system safety is improved, but measurement precision deteriorates because the settings cannot detect the true nature of underlying problems

Engineering Contradiction:
Improvesystem safetyVSAvoidfault detection accuracy
Core Design Contradiction:
ReliabilityVSMeasurement precision

Solution Approach 1:

The system transitions from fixed preconfigured parameters to dynamically adjustable parameters that can be modified based on actual system conditions and diagnostic needs, allowing both safety monitoring and precise fault detection

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

A diagnostic module is introduced as an intermediary component that bridges the gap between simple preconfigured monitoring and complex diagnostic analysis, providing enhanced measurement capabilities without compromising safety

Inventive Principle:
Principle #24Intermediary (Mediator)

2Device complexity

If simple preconfigured monitoring is used, then device complexity is reduced, but loss of information increases because repeated shutdowns cannot be properly diagnosed

Engineering Contradiction:
Improvemonitoring system complexityVSAvoidsystem operational data
Core Design Contradiction:
Device complexityVSLoss of information

Solution Approach 1:

The system incorporates self-diagnostic capabilities that automatically collect, analyze, and report information about system conditions, eliminating the need for complex external diagnostic equipment while preserving complete operational data

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The diagnostic module pre-configures multiple monitoring parameters and data collection routines before system operation begins, enabling comprehensive information gathering without requiring complex post-hoc analysis setups

Inventive Principle:
Principle #10Preliminary action

3Measurement precision

If multiple specialized monitoring devices are deployed, then measurement precision is improved, but device complexity increases

Engineering Contradiction:
Improveoperating parameter measurementVSAvoidhardware requirements
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The diagnostic module is designed as a universal multi-functional device that can measure multiple operating parameters (temperature, voltage, current, etc.) simultaneously, replacing the need for multiple specialized monitoring devices while maintaining high measurement precision

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

Solution Approach 2:

The system combines multiple monitoring and diagnostic functions into a single integrated module, merging what would otherwise require separate devices into one compact unit that reduces overall system complexity

Inventive Principle:
Principle #5Merging (Combining)

Data Source

PatentUS8639474B2Microcontroller-based diagnostic module
Publication Date: 2014.01.28 TOSHIBA INTERNATIONAL CORP
  • US8639474B2 patent drawing
  • US8639474B2 patent drawing
  • US8639474B2 patent drawing

AI summary

A portable diagnostic module may use a standardized physical interface to connect to a series of sensors. The module can be configured to accept different types of sensor outputs, and to collect the sensed data for use in local or networked analysis to help identify errors and faults before they occur.