Predictive Maintenance

Predictive Maintenance is an advanced technique that uses data analysis and condition monitoring to anticipate equipment failures before they occur. Unlike preventive maintenance (which is based on fixed schedules), predictive maintenance is based on the asset's actual condition.

The premise is simple: "The equipment will tell us when it needs attention." Through the use of sensors, IoT (Internet of Things), and algorithms, anomalies are detected—such as vibrations, temperature increases, or irregular electrical consumption—that precede a failure.

Key Difference: Preventive vs. Predictive

It's common to confuse them, but the difference is economic and operational:

• Preventive (Calendar): You change the car oil every 10,000 km, whether it's dirty or not. It's safe, but you may be wasting the useful life of a part that still worked.
• Predictive (Condition): You change the oil only when a sensor analyzes its viscosity and alerts you that it has lost properties. You maximize the resource, intervening at the exact moment: neither too soon (unnecessary expense) nor too late (breakdown).

The Role of IoT and Smart City

In modern urban management, predictive maintenance is possible thanks to massive sensorization:

• Lighting: Remote management systems alert if a luminaire consumes more current than it should (indication of imminent driver failure).
• Waste: Fill level and temperature sensors in containers that predict overflows or fire risks.
• Water: Flow meters that detect micro-leaks by analyzing nighttime pressure patterns.

Maptainer: The Brain Behind the Sensors

Having thousands of sensors sending data is useless if there's no platform to interpret them. Maptainer acts as the hub of this intelligence:

• Data Integration: We receive alerts from remote management systems or third-party IoT platforms.
• Geographic Visualization: We convert abstract data into visual alerts on the map. A flashing red dot indicates an asset that is going outside its normal parameters.
• Automatic Action: When the algorithm predicts a failure, Maptainer doesn't just show a warning; it automatically generates a Work Order and sends it to the nearest technician before the service is interrupted.

With predictive maintenance managed from Maptainer, you go from "repairing streetlights" to "guaranteeing light," maximizing service availability and drastically reducing emergency costs.