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Data Communication Based on MQTT in a Polymer Extrusion Process

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Distributed I/O as a service: A data acquisition solution to Industry 4.0.

Ricardo P Pontarolli¹, Jeferson A Bigheti¹, Felipe O Domingues¹

¹Institute of Science and Technology, São Paulo State University (Unesp), PO Box 18087-180, Sorocaba, SP, Brazil.

|September 16, 2022

Summary

This study introduces an open-source, low-cost distributed I/O service for industrial automation. This scalable solution enhances data acquisition for Industry 4.0 applications, supporting servitization trends.

Keywords:

Distributed I/O Industrial automation Moleculer framework Service oriented architecture

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Area of Science:

Industrial Automation
Internet of Things (IoT)
Servitization

Background:

Industrial automation relies on Supervisory Control and Data Acquisition (SCADA) systems.
Remote Input/Output (I/O) is crucial for acquiring sensor and actuator data in industrial processes.
Distributed I/O evolves remote I/O with processing and network capabilities.

Purpose of the Study:

To develop an open-source and low-cost distributed I/O service.
To enable networked, standardized, and scalable I/O data acquisition for Industry 4.0.
To support the trend of automation solutions as a service (servitization).

Main Methods:

Utilized a single-board computer with I/O expansion modules.
Implemented a microservice framework for modularity and scalability.
Developed customized software for networked data acquisition.

Main Results:

Demonstrated a functional open-source distributed I/O service.
Enabled scalable and standardized I/O data acquisition.
Presented applications including I/O redundancy, historian, process control, and IIoT monitoring.

Conclusions:

The developed distributed I/O service offers a cost-effective and flexible solution for modern industrial automation.
The system supports Industry 4.0 adoption and the servitization of automation.
The open-source approach fosters wider accessibility and customization for industrial applications.