IoT Enabled Real Time Load Height Monitoring and Control System Using PLC and HMI for Smart Industrial

This study develops a laboratory-scale prototype of an IoT-enabled, real-time load height monitoring and control system that integrates Programmable Logic Controllers (PLCs), Human–Machine Interfaces (HMIs), and cloud-based MQTT communication. Developed and validated under controlled conditions, the prototype consistently demonstrates sub-2-second latency (0.66–1.58 seconds) across varying network speeds, confirming its technical feasibility for future industrial applications. Proximity sensors and PLCs enable precise load height measurement, while the Haiwell C7S HMI provides real-time visualization and multi-platform control via web and mobile interfaces. Experimental results highlight the prototype’s robustness, scalability, and alignment with Industry 4.0 frameworks, offering a foundational architecture for subsequent industrial deployment. This work bridges the gap between theoretical Cyber-Physical Systems (CPS) principles and practical implementation, emphasizing adaptability and low-latency performance for smart manufacturing ecosystems.

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Publication Details

Journal
Journal of Applied Engineering and Technological Science (JAETS)
Published
2025-06-08
DOI
https://doi.org/10.37385/jaets.v6i2.7044
Citations
1
Primary Topic
Industrial Automation and Control Systems
Type
article
Field-Weighted Citation Impact
1.21
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article

IoT Enabled Real Time Load Height Monitoring and Control System Using PLC and HMI for Smart Industrial

‪Brainvendra Widi Dionova, Ermanu Azizul Hakim, Dwiana Hendrawati, Muhammad Irsyad Abdullah et al.
1 citations
Journal of Applied Engineering and Technological Science (JAETS)
Industrial Automation and Control Systems
1.21
article

IoT Enabled Real Time Load Height Monitoring and Control System Using PLC and HMI for Smart Industrial

‪Brainvendra Widi Dionova, Ermanu Azizul Hakim, Dwiana Hendrawati, Muhammad Irsyad Abdullah, Ahmad Kholik Sulistyo
article en
1 citations

Abstract

This study develops a laboratory-scale prototype of an IoT-enabled, real-time load height monitoring and control system that integrates Programmable Logic Controllers (PLCs), Human–Machine Interfaces (HMIs), and cloud-based MQTT communication. Developed and validated under controlled conditions, the prototype consistently demonstrates sub-2-second latency (0.66–1.58 seconds) across varying network speeds, confirming its technical feasibility for future industrial applications. Proximity sensors and PLCs enable precise load height measurement, while the Haiwell C7S HMI provides real-time visualization and multi-platform control via web and mobile interfaces. Experimental results highlight the prototype’s robustness, scalability, and alignment with Industry 4.0 frameworks, offering a foundational architecture for subsequent industrial deployment. This work bridges the gap between theoretical Cyber-Physical Systems (CPS) principles and practical implementation, emphasizing adaptability and low-latency performance for smart manufacturing ecosystems.

Journal of Applied Engineering and Technological Science (JAETS)Vol. 6(2)
Management and Science University (MY), State University of Semarang (ID), Universitas Muhammadiyah Malang (ID), Politeknik Negeri Semarang
Openalex Percentile: Top 21%
Industrial Automation and Control Systems
1.21
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IoT Enabled Real Time Load Height Monitoring and Control System Using PLC and HMI for Smart Industrial — ‪Brainvendra Widi Dionova, Ermanu Azizul Hakim, et al. · Journal of Applied Engineering and Technological Science (JAETS) (2025) | TGRS Research Map | TGRS