Developing No-Code IIoT Platform For Small and Medium Manufacturing Plant

This paper focuses on a No-code IIoT platform combined with a product quality prediction module for an SME. An infrastructure based on Sparkplug was built, including a self-designed IIoT gateway, an IoT server, and a web-based configuration interface. The IIoT gateway is responsible for receiving the initial configuration from the server and automatically initiating connections to the machine’s PLC at the field device layer, collecting data, and transmitting it to the server. Simultaneously, the web-based application is designed to configure the gateway and monitor the system's condition. The prediction module uses machine learning methods to accurately predict the quality of products based on a pre-existing data set. This platform demonstrates the functionality of an IIoT system by communicating with the injection molding machine and collecting real-time data. By enabling remote configuration and monitoring, the platform showcases its openness and high applicability for industrial IoT and automation needs.

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Publication Details

Published
2024-12-01
DOI
https://doi.org/10.1109/iclie61478.2024.11015378
Citations
1
Primary Topic
Advanced Manufacturing and Logistics Optimization
Type
article
Field-Weighted Citation Impact
0.35
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article

Developing No-Code IIoT Platform For Small and Medium Manufacturing Plant

Minh-Hien Le, Ngoc-Huy Tran, Ngoc-Thac Pham, Xuan-Thuyen Le
1 citations
Advanced Manufacturing and Logistics Optimization
0.35
article

Developing No-Code IIoT Platform For Small and Medium Manufacturing Plant

Minh-Hien Le, Ngoc-Huy Tran, Ngoc-Thac Pham, Xuan-Thuyen Le
article en
1 citations

Abstract

This paper focuses on a No-code IIoT platform combined with a product quality prediction module for an SME. An infrastructure based on Sparkplug was built, including a self-designed IIoT gateway, an IoT server, and a web-based configuration interface. The IIoT gateway is responsible for receiving the initial configuration from the server and automatically initiating connections to the machine’s PLC at the field device layer, collecting data, and transmitting it to the server. Simultaneously, the web-based application is designed to configure the gateway and monitor the system's condition. The prediction module uses machine learning methods to accurately predict the quality of products based on a pre-existing data set. This platform demonstrates the functionality of an IIoT system by communicating with the injection molding machine and collecting real-time data. By enabling remote configuration and monitoring, the platform showcases its openness and high applicability for industrial IoT and automation needs.

Vietnam National University Ho Chi Minh City (VN), Ton Duc Thang University (VN), Ho Chi Minh City University of Technology (VN)
Industry, innovation and infrastructure
Openalex Percentile: Top 30%
Advanced Manufacturing and Logistics Optimization
0.35
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Developing No-Code IIoT Platform For Small and Medium Manufacturing Plant — Minh-Hien Le, Ngoc-Huy Tran, et al. · (2024) | TGRS Research Map | TGRS