Predictive maintenance with IoT

Unplanned downtime and expensive repairs are among the biggest challenges in industry and logistics. With predictive maintenance, the Internet of Things (IoT) enables predictive maintenance that increases plant availability, reduces maintenance costs and prevents production downtime.

The combination of IoT sensors, real-time data and artificial intelligence makes it possible to continuously monitor the condition of machines and plan maintenance measures at an early stage.

• Early detection of wear and damage
  • Sensors measure temperature, vibrations, pressure and other parameters in real time.
  • Deviations from the normal state are detected immediately before a failure occurs.
• Reduction of unplanned downtimes
  • Automated alarms and analyses enable preventive maintenance.
  • Emergency repairs are minimized, and production processes remain stable.
• Optimization of maintenance intervals
  • Maintenance measures are carried out as required instead of at fixed intervals.
  • Unnecessary maintenance is avoided, which saves resources and costs.
• Cost savings through targeted maintenance
  • Spare parts and maintenance personnel can be planned in advance.
  • Reduction of material waste and minimization of production downtime.
• Extending the service life of machines and systems
  • Early intervention minimizes damage and delays expensive replacement investments.
  • Long-term improvement in operating efficiency and machine performance.