IoT-Based Industrial Device Control Using Wi-Fi and Flutter Application

When automated, these processes can improve productivity, scalability and reliability making them critical for global growth. The article describes the creation of industrial device manager on the basis of ESP32 Wi-fi technology, including mobile application on Flutter for real-time monitoring and control of industrial devices. They ensure safe operation thanks to the use of relays for controlling high-power AC loads and protecting the controller from electrical surges by measuring the voltage, current, speed, and temperature. To communicate between hardware and mobile application, protocols such as MQTT and HTTP, provide low-latency responses and a reliable data flow. The intuitive mobile app interface enables device control and also provides instant feedback, such as abnormal condition alerts. The hardware is assembled in a portable format that runs on a rechargeable battery and is low power consumptive, suitable for industry use cases. Experimental results show response time of < 100 ms, sensor accuracy of 98% with a ±2% deviation, and concurrent control of multiple devices. By providing control without the constraints of wires, this system overcomes the drawbacks associated with conventional wired setups. It is so simple to install that it does not require significant preparation, it can be used in small and in great industrial applications. This IoT-based device manager provides an effective solution for modern industrial automation by improving operational efficiency, flexibility, and reliability while offering seamless monitoring and control of devices remotely and optimizing overall system performance.

Authors

Institutions

Publication Details

Published
2025-04-16
DOI
https://doi.org/10.1109/iccct63501.2025.11020502
Primary Topic
IoT-based Smart Home Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

IoT-Based Industrial Device Control Using Wi-Fi and Flutter Application

K. Kathirvel, S. Gayathri Priya, D. Venkatesh, Jagadeep SV
IoT-based Smart Home Systems
article

IoT-Based Industrial Device Control Using Wi-Fi and Flutter Application

K. Kathirvel, S. Gayathri Priya, D. Venkatesh, Jagadeep SV
article en

Abstract

When automated, these processes can improve productivity, scalability and reliability making them critical for global growth. The article describes the creation of industrial device manager on the basis of ESP32 Wi-fi technology, including mobile application on Flutter for real-time monitoring and control of industrial devices. They ensure safe operation thanks to the use of relays for controlling high-power AC loads and protecting the controller from electrical surges by measuring the voltage, current, speed, and temperature. To communicate between hardware and mobile application, protocols such as MQTT and HTTP, provide low-latency responses and a reliable data flow. The intuitive mobile app interface enables device control and also provides instant feedback, such as abnormal condition alerts. The hardware is assembled in a portable format that runs on a rechargeable battery and is low power consumptive, suitable for industry use cases. Experimental results show response time of < 100 ms, sensor accuracy of 98% with a ±2% deviation, and concurrent control of multiple devices. By providing control without the constraints of wires, this system overcomes the drawbacks associated with conventional wired setups. It is so simple to install that it does not require significant preparation, it can be used in small and in great industrial applications. This IoT-based device manager provides an effective solution for modern industrial automation by improving operational efficiency, flexibility, and reliability while offering seamless monitoring and control of devices remotely and optimizing overall system performance.

Karpagam Academy of Higher Education (IN)
Affordable and clean energy
Openalex Percentile: Top 89%
IoT-based Smart Home Systems
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.