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erPUB

erPUB configuration Analog Sensors converted with Machine Learning to MQTT

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.

MQTT

MQTT is an open OASIS and ISO Standard (ISO/IEC 20922) for a publish-subscribe network. Its main use is sending messages between machines and devices. Typically, it uses TCP/IP as underlying layer.
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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

REST
Common architecture of web APIs in internet and intranet
MQTT
Publish-subscribe transport protocol for M2M communication
Azure
Cloud platform of Microsoft
All configurations
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