Creating a web-oriented human-machine interface for a SCARA robot physical model based on industrial Internet of Things technologies

Loading and unloading operations are one of the key links in many production processes in modern industry. Improving the accuracy, productivity, and velocity of control is essential for increasing the efficiency of loading and unloading processes. This can be achieved by integrating production processes into the web through the implementation of the “Industry 4.0” concept. The aim of this work was to develop a web interface for a system that simulates loading and unloading operations based on a SCARA robot, which ensures effective monitoring and control of the technological process. To determine the architecture of proposed system, modern approaches to the development of automated control systems using the “Industry 4.0” concept were analysed. To select the tools for creating the system components, technologies for software development that are suitable for this task were analysed and identified. A comprehensive control and monitoring system for the SCARA robot was developed using a web interface based on the “Industry 4.0” concept. The developed web interface demonstrated an effective approach to building interactive control systems, improving productivity and convenience for operators. The practical significance of the results lies in the creation of a unified solution for monitoring and controlling robotic complexes, which can be adapted and implemented on various production and educational platforms. Additionally, the developed solution can be used in the educational process for laboratory practice in normative disciplines

Authors

Publication Details

Journal
Jornal of Kryvyi Rih National University
Published
2025-05-08
DOI
https://doi.org/10.31721/2306-5451-2025-1-23-21-31
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Creating a web-oriented human-machine interface for a SCARA robot physical model based on industrial Internet of Things technologies

Vitalii Lazariev, Danylo Leonov, Serhii Ruban, Vadym Kharlamenko
Jornal of Kryvyi Rih National University
Digital Transformation in Industry
article

Creating a web-oriented human-machine interface for a SCARA robot physical model based on industrial Internet of Things technologies

Vitalii Lazariev, Danylo Leonov, Serhii Ruban, Vadym Kharlamenko
article en

Abstract

Loading and unloading operations are one of the key links in many production processes in modern industry. Improving the accuracy, productivity, and velocity of control is essential for increasing the efficiency of loading and unloading processes. This can be achieved by integrating production processes into the web through the implementation of the “Industry 4.0” concept. The aim of this work was to develop a web interface for a system that simulates loading and unloading operations based on a SCARA robot, which ensures effective monitoring and control of the technological process. To determine the architecture of proposed system, modern approaches to the development of automated control systems using the “Industry 4.0” concept were analysed. To select the tools for creating the system components, technologies for software development that are suitable for this task were analysed and identified. A comprehensive control and monitoring system for the SCARA robot was developed using a web interface based on the “Industry 4.0” concept. The developed web interface demonstrated an effective approach to building interactive control systems, improving productivity and convenience for operators. The practical significance of the results lies in the creation of a unified solution for monitoring and controlling robotic complexes, which can be adapted and implemented on various production and educational platforms. Additionally, the developed solution can be used in the educational process for laboratory practice in normative disciplines

Jornal of Kryvyi Rih National UniversityVol. 23(1)
Industry, innovation and infrastructure
Openalex Percentile: Top 28%
Digital Transformation in Industry
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.