Introduction
Corrective maintenance is costly and causes unexpected interruptions. With IoT technology, industrial plants can detect abnormal trends and prevent downtime through smart alerts based on real-time data.
1. Vibration and temperature sensors
Motors and pumps are the first to show signs of wear. IoT sensors measure vibration and temperature continuously, anticipating bearing failures or misalignments before a breakdown occurs.
2. Historical pattern analysis
Comparing current values with each asset's historical behavior makes it possible to detect small deviations. QBIT generates alerts when values drift from the expected trend, reducing downtime.
3. Automatic reports and proactive alarms
Configurable alerts for temperature, vibration, or current are sent automatically via email or WhatsApp. Automatic reports help prioritize maintenance tasks and plan technical resources better.
QBIT Solution
QBIT Industrial centralizes all your sensor data and generates automatic predictive actions. Discover how to implement predictive maintenance with QBIT.
