Industry 4.0 Power Data

tl;dr

 Dataset

Description

The Pilotfabrik of TU Wien is monitored for energy-efficiency and productivity of machinery. In principle, certain conditions/parameters are observed such as: electric rate of energy transfer, transmission of cooling liquid, transmission of compressed air, acceleration, forces at work and temperatures to research on preventive/predictive maintenance, quality of products and ultimately process efficiency and -productivity.

Figure 1: Total power usage of machine floor TU Pilotfabrik, image from Hacksteiner (2016).

Solution

We connected our Broker Service with the MQTT broker of the Pilotfabrik using a self-written connector service, bridging the two different protocols. The tuples are ingested into DBRepo at a rate of about 10/s.

DBRepo Features

• High-throughput real-time data import (MQTT)
• Private database
• Public embargoed data view

Acknowledgement

This work was part of a cooperation with the Institute of Production Engineering and Photonic Technologies.