erPUB

erPUB is a modular software platform for the automatic acquisition, integration and publication of machine data – specially designed for industrial environments in which sensor and process data must be efficiently transferred to existing software systems. The data can be directly pre-processed, filtered and combined with other information. This means that only relevant data is transferred to the connected systems, which relieves the network and reduces costs.

erPUB is ideal for:

• • Mechanical engineering & Industry 4.0

  • Manufacturing companies with a heterogeneous machine landscape

  • Logistics processes

  • Companies with a need for predictive maintenance, production monitoring or quality analyses

erPUB connects machines via various protocols such as OPC UA and processes:

• • Analog and digital sensors

  • Industrial interfaces (OPC UA, MQTT)

  • Formats: JSON, XML, CSV

  • Cloud destinations such as Azure or AWS

  • An example: erPUB runs on a RevPi and reads measured values such as temperature (RTD/PT100) and speeds. If the temperature exceeds a defined value, depending on the speed, a message is sent to another system for further analysis / machine learning.

Example “Temperature Machine Learning → Azure”:

• • Automatic recording of temperature data via PT100/PT1000

  • Pre-processing and ML-based pattern recognition

  • Publication of data in Azure IoT and analytics services
    This creates real-time predictive maintenance scenarios – real-time monitoring paired with AI

• Connection via OPC UA, MQTT or RevPi as an edge device

• Data is provided with open APIs for ERP, MES, BI and cloud

• Standardized data preparation and storage enable simple further processing

• erPUB runs on Linux, Windows and macOS systems, either natively or as a Docker container.

The configuration of erPUB can simply connect existing modules as required and thus be easily configured as a no-code solution.

You can also develop your own data inputs, processing and data outputs. These can be integrated directly into erPUB in .NET or connected via interfaces (e.g. Python programs or Docker containers).

• Standardized data integration across heterogeneous systems

• End-to-end solution: from data capture to pre-processing and publication

• Scalability: from single machine to factory network

• Transparency through central administration

• Secure data transfer via TLS/HTTPS

• Rights and user management for internal access

• Versioning and history for data traceability possible

• Can be run on your own systems without access to the Internet or network

• Edge device (e.g. RevPi, Beckhoff PLC, Windows terminal, Raspberry Pi, …) for data acquisition

• Sensors for data acquisition as required

• Mobile radio router for stand-alone systems

• Quick start with preconfigured modules within hours to a few days

• Concrete pilot configurations based on your data can be realized at short notice

• Modular design – from proof of concept to fully integrated smart factory solution