An electrical worker needs to diagnose an unusually hot and loud transformer but lacks a systematic way to determine the cause and appropriate action.

Workarounds Described

• uses thermal camera to check temperature manually
• assesses sound level by ear
• compares to other transformers visually
• checks connections by physical inspection

Implied Software Gaps

• Mobile app that automatically logs thermal data over time and alerts on trends
• Sound analysis tool that quantifies transformer hum and detects anomalies
• Diagnostic engine that suggests likely causes based on combined thermal and acoustic symptoms

Transformer Health Monitor

A mobile app that uses thermal camera input, sound level analysis, and electrical connection data to diagnose transformer condition. It provides real-time alerts when readings exceed safe thresholds and offers step-by-step troubleshooting based on industry best practices.

Existing Solutions Mentioned