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erPUB

erPUB configuration Analog Sensors converted with Machine Learning to OPC UA

erPUB publishes machine and process data with the Revolution Pi (RevPi)

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Analog Sensors

Analog Sensors include umfassen viele continuous measurements like distance, filling level, pressure, force, temperature, voltage, current, acceleration, etc.

Machine Learning

Using feedback, machine learning like pattern recognition, prediction and predictive maintenance can be done.

OPC UA

The OPC Unified Architecture is a protocol for machine-to-machine communication in (industrial) automation engineering. It is very common in automation with a high interoperability.
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You are looking for another transformation for you machine or process data? Select your options here:

Input

Digital Sensors
Digital Sensors like buttons, switches, light barriers, and more
Analog Sensors
Analog Sensors like distance, filling level, force, pressure, and more
Temperature
Temperature/RTD and thermocouples

Transformation

Analysis
Analysis like Histograms or Fourier Transforms
Machine Learning
Machine Learning like pattern recognition
Compression
Compression of data

Output

Individual Output
Output not mentioned here
OPC UA
Common standard for machine-communication in automation
REST
Common architecture of web APIs in internet and intranet
All configurations
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More then 10 licenses? Customized solutions for your company?

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erminas is certified partner of Kunbus, Microsoft and OPC

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