CMI DIGITAL

CMI Digital is a platform for monitoring, data analysis, and management developed to optimize machine tool performance and maximize shop floor efficiency.

It integrates IoT technology, advanced data analytics, and full connectivity, providing real-time information on production, machine status, maintenance, and energy consumption – everything centralized in a single, secure, and accesible digital environment.

What can CMI Digital do for you?

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Full connectivity

Compatible with most CNCs and PLCs, integrating both our CMI Durango machines and equipment from other manufacturers.

Real-time monitoring

Compatible with most CNCs and PLCs, integrating both CMI Durango machines and third-party equipment.

Advanced data analytics

Algorithms that convert machine signals into key performance indicators (OEE, availability, efficiency, consumption, etc.).

Alerts and notifications

Configurable alarm system for detecting issues and preventing unplanned downtime.

Efficient maintenance management

Scheduling of preventive, predictive, and corrective maintenance based on the machine’s actual condition.

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Automated, customizable reporting

Tailored performance reports (production, downtime, energy efficiency, tool consumption, and more).

How does it work?

1

Data capture

Direct connection to machine controls, auxiliary sensors, and plant databases.

2

Analysis

Data processing using advanced analytics and machine learning algorithms.

3

Visualization and usage

Custom dashboards, accessible from any device.

Why choose CMI Digital?

Tailored to machine tools

  • Monitors lathes, milling machines, machining centers, and special-purpose machines.
  • Compatible with CNCs, PLCs, and auxiliary sensors.
  • Captures signals from the control system, electrical cabinet, or external devices.

In-depth data and intelligent analytics

  • Continuous acquisition of machine and process data.
  • Conversion of raw data into production KPIs.
  • Data intelligence algorithms to detect inefficiencies and anticipate failures.
  • Flexible integration with other plant systems (ERP, MES, etc.)

Maintenance and process optimization

  • Automated generation of predictive maintenance.
  • Optimized scheduling of preventive tasks.
  • Early warnings and alerts for anomalies or incidents.
  • Improved machine availability and reduced downtime.
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