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Challenge:Developing and maintaining a “smart” solution without the need for a dedicated data science team on site to incorporate machine learning. Automated pattern recognition and analytics functionalities.


Obstacles to overcome:No two assets are identical, which requires a generalized machine learning software still able to capture individual anomalies to a high enough degree of precision and accuracy.


Solution:Purpose-built application for use in asset-intensive use cases.



  • Drag-and-drop dashboards for real-time visualization of metrics like temperature, output current, torque trim, position, velocity, etc.
  • Machine learning capabilities, including automatic model training, parameter tuning, automatic anomaly detection, and individual asset-level models for maximum detection accuracy.
  • Customizable rules to trigger real-time SMS and email alerts about anomalies 24 hours a day.
  • Key performance indicator (KPI) monitoring
  • Inherent, industry-accepted security standards for device and system connectivity.

Machine Learning Application for Predictive Maintenance

Artikelnummer: IQ-06.058
Preisab 15,00 €
  • Build your own IIoT solution following these three steps:

    • Connectivity: Choose the suitable Hardware or Lean.Solution Starter Kit
    • Edge Data Processing: Add the Edge Client for Continuous Data Streaming
    • Asset Monitor: Enable your IIoT Solution with the Data Processing Backend

    Contact us if you need assistance to put your solution together.

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