Smart Device Failure Detection via Diagnostic Code Extraction
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Solution Overview
Problem
Critical systems often fail unexpectedly, leading to high costs and inconvenience due to emergency repairs, and there is a lack of efficient methods for predicting and managing the maintenance and replacement of smart devices.
Innovation Solution
A system that allows smart devices to communicate usage profiles and diagnostic codes to a resource management system, which detects failure conditions and initiates targeted communications with custodians and financial institutions for timely maintenance, repair, or replacement, using a network communication interface and resource management application.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If smart devices operate without continuous monitoring, then device autonomy is maintained, but unexpected failures occur leading to high repair costs and inconvenience
Solution Approach 1:
The smart device performs self-diagnosis by automatically detecting failure conditions and generating diagnostic codes without external intervention. The device monitors its own operational parameters and communicates status information to the resource management system, enabling autonomous health assessment and reducing the need for manual inspections.
Solution Approach 2:
The system establishes a feedback loop where the smart device continuously reports operational data and failure conditions to the resource management system. The system processes this information and sends back maintenance instructions or alerts to the custodian, creating a closed-loop monitoring mechanism that improves reliability through continuous status verification.
2Reliability
If proactive maintenance is implemented through continuous monitoring, then unexpected failures are reduced, but system complexity and data processing requirements increase
Solution Approach 1:
The system extracts only the critical failure condition indicators and diagnostic codes from the smart device data stream, rather than processing all operational parameters. This selective extraction approach enables predictive maintenance by focusing on specific failure precursors while minimizing the complexity of data processing and system architecture.
Solution Approach 2:
The resource management system pre-establishes maintenance protocols and custodian contact information before failures occur. When diagnostic codes indicate impending failure, the system has already prepared the appropriate maintenance actions and can immediately initiate them, reducing response time and system complexity during actual failure events.
3Measurement precision
If diagnostic data is collected and analyzed, then failure prediction accuracy improves, but data processing time and computational resources increase
Solution Approach 1:
The system replaces complex computational analysis with pattern recognition based on pre-defined diagnostic codes and failure signatures. Instead of performing sophisticated algorithms to detect failures, the system compares observed device states against known failure patterns, achieving high detection accuracy with minimal computational overhead and processing time.
Solution Approach 2:
The system transforms raw operational data into standardized diagnostic codes that represent specific failure conditions. This parameter transformation simplifies the data structure and enables rapid comparison against known failure patterns, improving both detection accuracy and processing speed by working with coded representations rather than raw data.
Data Source
AI summary
A system for securely distributing and managing resources includes a smart device, a resource management device, and a third party system, each having communication interfaces, and memory device, and processing device. In the resource management device, the processing device is configured to: receive from a smart device a set of smart device data via the smart device communication interface; detect within the set of smart device data a subset of data associated with a failure condition of the smart device; and communicate a set of instruction information to a third party system, wherein the instruction information is usable by the third party system to initiate a targeted communication between a host entity system associated with the smart device and the custodian such that maintenance, repair, and/or replacement of the smart device can be effectuated.