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IIoT solutions for every stage of the industrial lifecycle

From data acquisition to Digital Twin, Smart Datalog supports the plant throughout its entire lifecycle: connectivity, predictive maintenance, and digital replica in an integrated ecosystem.

Connecting the OT world to IT
IIoT Solutions

Connecting the OT world to IT

Smart Datalog provides IIoT solutions that integrate the OT (Operational Technology) world with IT (Information Technology). Data generated by sensors and measuring instruments is acquired, processed, and made available in real time on the SmartHub platform, transforming raw plant information into concrete operational decisions.

  • Data acquisition from sensors and industrial instruments
  • Standard protocols: OPC-UA, MQTT, Modbus (RTU/TCP), REST API
  • Real-time dashboard and plant KPIs
  • Smart alerts via Telegram and email
  • Integration with existing systems (ERP, MES, SCADA)
From preventive to AI-powered predictive maintenance
IIoT & CMMS

From preventive to AI-powered predictive maintenance

The integration between IIoT (Industrial Internet of Things) and CMMS (Computerized Maintenance Management System) transforms plant data into an intelligent maintenance plan. Smart Datalog integrates IIoT technology with a cloud-based CMMS tool, enabling fault anticipation, intervention planning, and reduction of unplanned downtime.

  • Preventive and AI-driven predictive maintenance
  • Intervention planning and tracking
  • Reduction of unplanned machine downtime
  • Intervention history and technical documentation
  • Maintenance efficiency KPIs (MTBF, MTTR)
Learn more about CMMS
The digital replica of your plant
Digital Twin

The digital replica of your plant

The Digital Twin bridges the real world with the digital one. By acquiring data in real time, the platform understands the current state of the plant, simulates future scenarios, and provides the foundation for continuous optimization. It enables early problem detection, virtual testing of changes before field intervention, and ongoing improvement of controls over time.

  • Real-time digital replica of the physical plant
  • Simulation of future scenarios and states
  • Early detection of anomalies and failures
  • Virtual testing before field modifications
  • Foundation for continuous process optimization
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