Motherboard Connector Failure Prediction via Embedded Controller

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Solution Overview

Problem

Repeated connection and disconnection cycles of devices to motherboard connectors lead to wear and tear of gold plating, causing oxidation and eventual connector failure, which existing thicker plating solutions are cost-prohibitive and periodic cleaning may not prevent ultimate replacement.

Innovation Solution

An embedded controller on the motherboard monitors connector usage and maintains event logs to track connection cycles and training attributes, notifying users when thresholds are exceeded to prevent corrosion and potential failures.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If thicker plating is used to increase connection cycle life, then connector durability is improved, but manufacturing cost increases

Engineering Contradiction:
Improveconnector durabilityVSAvoidmanufacturing cost
Core Design Contradiction:
ReliabilityVSEase of manufacture

Solution Approach 1:

The embedded controller performs preliminary monitoring and tracking of connection cycles before the connector actually fails. By maintaining an event log that counts connection/disconnection cycles and comparing against a maximum count threshold, the system takes preventive action (notifying the user) before the plating is completely worn away and oxidation occurs, thereby extending connector life without requiring thicker plating.

Inventive Principle:
Principle #10Preliminary action

2Duration of action of stationary object

If periodic cleaning is performed to prolong connector life, then connector functionality is extended, but ultimate replacement is still necessary

Engineering Contradiction:
Improveconnector lifeVSAvoidconnector failure prevention
Core Design Contradiction:
Duration of action of stationary objectVSReliability

Solution Approach 1:

The system implements feedback by continuously monitoring connection cycle counts through the embedded controller's event log and providing notifications to the user when the maximum count is approached or exceeded. This feedback loop allows users to take corrective actions (such as cleaning or reducing connection frequency) based on actual usage data, thereby extending connector life more effectively than periodic cleaning alone.

Inventive Principle:
Principle #23Feedback

3Reliability

If connection cycle monitoring is implemented to predict failures, then preventive maintenance is enabled, but system complexity increases

Engineering Contradiction:
Improvefailure prediction capabilityVSAvoidmonitoring system complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The embedded controller utilizes its existing self-service capabilities to monitor connection cycles without requiring external monitoring hardware. The controller already maintains event logs for other purposes; the invention repurposes this existing logging functionality to track connector usage by counting connection/disconnection events, thereby enabling failure prediction without adding significant system complexity.

Inventive Principle:
Principle #25Self-service

Data Source

PatentUS11467936B2Predicting motherboard connector failures
Publication Date: 2022.10.11 DELL PROD LP
  • US11467936B2 patent drawing
  • US11467936B2 patent drawing
  • US11467936B2 patent drawing

AI summary

Motherboard connector failures can be predicted. An embedded controller can be employed on the motherboard to monitor when devices are connected to and disconnected from the motherboard's connectors. The embedded controller can maintain an event log and connector information in which it counts the number of times a device is connected to/disconnected from a connector. The BIOS can leverage the event log and the connector information to notify an end user to take action to correct or prevent possible corrosion. Training records may also be employed to predict connector failure. The training records can track and maintain baseline and periodic device training attributes. When the periodic training attributes deviate from the baseline training attributes, an end user can be notified to take action to remove corrosion.