THE SYSTEM FOR REMOTE STATE MONITORING OF AN INDUSTRIAL ROBOT

Abstract

In the era of rapid Industry 4.0 advancement, robots play a key role in automating diverse manufacturing processes. To ensure the effective use of these robotic systems, it is essential to continuously monitor their technical condition, promptly detect operational deviations, and enable a rapid response to potential faults. Remote monitoring systems are particularly important as they allow for equipment supervision without the physical presence of an operator – a critical advantage for geographically dispersed production sites or facilities with restricted access. Consequently, developing a remote monitoring system for an industrial robot is a highly relevant task that can significantly enhance the efficiency, flexibility, and safety of modern manufacturing. This article presents the results of a study on the development of a remote monitoring system for the technical condition of a Yaskawa Motoman MH5SII industrial robot. The proposed system enables real-time, remote monitoring of the robot’s position in its base coordinate system, servo drive errors, joint torques, the controller’s current state, and the execution status of the active program. The system utilizes a multi-tiered client-server architecture, incorporating the WireGuard VPN protocol for secure connectivity, the YMConnect library for communication with the robot controller, a Python-based middleware server (API), and a web-based user interface developed with HTML, CSS, and JavaScript. Data exchange between the server and the client uses the WebSocket protocol, ensuring low latency and stable communication. Experimental results confirmed the system’s reliability and stable performance during extended operation, demonstrating its compliance with modern industrial monitoring requirements. Future development will focus on implementing a digital twin, historical data logging, an automated alerting system, and support for multi-robot fleet management. This article will be valuable for developers of automated systems, engineers, and researchers in robotics and industrial automation.