Need-Based Planning of Services Using Artificial Intelligence




System states of facilities can be recorded and evaluated automatically using sensors, allowing predictive maintenance. In our project, a platform was developed that collects, stores, processes, and displays sensor data from facilities in real time. With machine learning models, derived features are used to make predictions and classifications to determine, for example, the ideal time for an oil change. Training and use of the models in real-time processes as well as forecasting are integrated into the platform, a dashboard visualizes the results. Small and medium enterprises in particular can use AI-based services via the platform without having to set up their own IT infrastructure.


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Javaid, Mohd et al. (2021): Significance of sensors for industry 4.0: Roles, capabilities, and applications, Sensors International Band 2, KeAI Publishing, doi: https// DOI:



How to Cite

Pohl, C., Cebulla, M., & Heimrich, T. (2022). Need-Based Planning of Services Using Artificial Intelligence. Open Conference Proceedings, 2, 227–229.

Conference Proceedings Volume


Beiträge zur / Contributions to the 22. Nachwuchswissenschaftler*innenkonferenz (NWK)