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Related Experiment Video

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Data Communication Based on MQTT in a Polymer Extrusion Process

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Published on: July 15, 2022

Process-Driven and Flow-Based Processing of Industrial Sensor Data.

Klaus Kammerer¹, Rüdiger Pryss², Burkhard Hoppenstedt¹

¹Institute of Databases and Information Systems, University of Ulm, 89081 Ulm, Germany.

Sensors (Basel, Switzerland)

|September 17, 2020

Summary

Machine manufacturers need digital services for machine maintenance. A new sensor processing pipeline (SPP) effectively captures, processes, and visualizes sensor data, enabling predictive maintenance and condition monitoring for Industrial Internet of Things (IIoT) applications.

Keywords:

cyber-physical systems data stream processing processing pipeline sensor networks

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Area of Science:

Industrial Internet of Things (IIoT)
Machine Manufacturing
Digital Services

Background:

Digital services for machine maintenance are increasingly important for manufacturers.
Effective condition monitoring and predictive maintenance rely on robust data sources.
The proliferation of powerful, low-cost sensors offers opportunities for enhanced digital services.

Purpose of the Study:

To address the challenge of handling large volumes of raw sensor data for digital services.
To develop a generic technical solution for capturing, processing, storing, and visualizing sensor data.
To present a sensor processing pipeline (SPP) approach for machine manufacturing companies.

Main Methods:

Development of a sensor processing pipeline (SPP) based on a processing chain.
Integration of data from various sensors within complex machines.
Application and evaluation of the SPP in a machine manufacturing company setting.

Main Results:

The SPP provides effective methods for managing raw sensor data.
The approach facilitates the development of digital services for machine maintenance.
Promising results were achieved for the participating machine manufacturing company.

Conclusions:

The developed sensor processing pipeline (SPP) offers a viable solution for data handling challenges in IIoT.
Implementing SPP enables advanced digital services like predictive maintenance.
The approach demonstrates practical applicability and positive outcomes in industrial settings.