DAQ Monitor
Predictive equipment health monitoring that catches failures weeks before they happen.
Problem Statement
Traditional maintenance triggers alerts after equipment damage has already started. Waiting for breakdowns or servicing on fixed schedules causes unpredictable downtime and yield loss.
Objective & Core Value Proposition
Predict machine failure before breakdown. By tracking early leading indicators, DAQ Monitor helps plants avoid unexpected downtime, protect product yield, and schedule repairs with absolute precision.
How It Works
Collect real-time signals
A Data Acquisition (DAQ) framework pulls real-time signals directly from the machines themselves.
Add external sensor data
Additional external sensor data is layered in to build a complete, holistic picture of equipment health.
Key Functions & Use Cases
Fan Monitoring (Windspeed Integration)
Tracks windspeed drop to predict thermal failure ahead of time (e.g., 36.5 days to DEFECT).
Motor Monitoring (Coil Resistance)
Measures coil resistance (Ω) trends to forecast exact component lifespan.
Digital Signal & Error Code Tracking
Logs digital signal frequency to flag hidden instability while running.
UI/UX & Dashboard Highlights
Real-Time Data Visualization
Animated line plots streaming live metrics like fan windspeed and motor resistance.
AI Health Prediction panel
Countdown timer plus current health percentage at a glance.
Alert Log Timeline
Live timeline tracking status events and lifespan drops with visual severity badges.
Customizable Display Settings
Dynamic channel toggles (FAN, MOTOR, Digital) and adjustable chart render rates (Samples/Sec).