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Related Experiment Video

Updated: May 25, 2025

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

Industrial Robot Control System with a Predictive Maintenance Module Using IIoT Technology.

Andrzej Wojtulewicz¹, Patryk Chaber¹

¹Institute of Control and Computation Engineering, Faculty of Electronics and Information Technology, Warsaw University of Technology, ul. Nowowiejska 15/19, 00-665 Warsaw, Poland.

Sensors (Basel, Switzerland)

|February 26, 2025

Summary

This summary is machine-generated.

This study integrates industrial robots with CNC systems for enhanced diagnostics. It enables early failure prevention by analyzing robot component consumption data, improving operational efficiency.

Keywords:

CNC HP HMI IIoT MQTT communication protocols diagnostics industrial robot prediction

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Area of Science:

Manufacturing Engineering
Automation and Control Systems

Background:

Industrial robots are increasingly integrated with Computer Numerical Control (CNC) systems.
Effective diagnostics and early failure prevention are crucial for optimizing robotic system performance and minimizing downtime.

Purpose of the Study:

To develop and implement a diagnostic solution for industrial robots controlled by CNC systems.
To enable early failure detection and prevention through real-time monitoring of robot component consumption.

Main Methods:

Direct control of an industrial robot from a CNC system.
Data exchange between CNC and robot controller for process data collection.
Calculations performed in Programmable Logic Controller (PLC) to derive consumption indicators.
Data visualization on Human-Machine Interface (HMI) screens.
Implementation of MQTT protocol for Industrial Internet of Things (IIoT) data sharing.

Main Results:

Successful integration of CNC and industrial robot for diagnostic data collection.
Generation of key consumption indicators for individual robot components.
Real-time data visualization on CNC HMI.
Enabled IIoT data sharing via MQTT protocol.
Demonstrated feasibility through deployment in a real industrial station.

Conclusions:

The developed solution extends CNC capabilities for industrial robot diagnostics.
The system facilitates early failure prevention by monitoring component health.
This integration enhances the overall reliability and efficiency of automated manufacturing systems.