Design and Development of an Advanced Load Control System via Arduino

Incorporating Internet of Things (IoT) technology into load control systems has changed how we acquire regulators and monitor devices, making it more convenient and safer. The proposed system focuses on designing an intelligent indicator and control system solution for demanding industrial environments where equipment experiences heavy-duty cycles. The Arduino microcontroller dictates myriad safety features and controls and monitors various devices' functions. This allows for easier mobile and Wi-Fi integration to remotely operate electronic devices, providing the system with an additional level of efficiency that increases safety in various applications such as agriculture, home automation, and industrial uses. Based on the multi-segment framework, the system processes input signals managed by an Arduino-based microcontroller that controls output devices such as motors, fans, and lights. It can be monitored 24/7 via a mode based on IoT (Internet of Things) technology to receive feedback and perform operations from anywhere in the world. This system supports system anomaly detection-e.g., motor stalls and overvoltage conditions. It can alert users if something malfunctions, improve visibility of day-to-day operations, and allow for swift responses. The results show that the designed system has improved the flexibility and usability of the operational load control using the Arduino microcontroller. It was also found that upon detecting a stall, the system feedback is sent as a notification to the user by the Blynk mobile app, thus preventing the motor operations from serious damage. Therefore, this system was able to offer sustainable solutions in contrast to overloading or overheating that may be faced by the system or the motors. It is also recommended that load frequency control (LFC) be implemented with Proportional-Integral-Derivative (PID) controllers and optimized techniques to make interconnected power systems more stable and efficient.

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Publication Details

Journal
Al-Iraqia Journal of Scientific Engineering Research
Published
2024-12-01
DOI
https://doi.org/10.58564/ijser.3.4.2024.276
Primary Topic
IoT-based Smart Home Systems
Type
article
Field-Weighted Citation Impact
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article

Design and Development of an Advanced Load Control System via Arduino

S. N. Saud
Al-Iraqia Journal of Scientific Engineering Research
IoT-based Smart Home Systems
article

Design and Development of an Advanced Load Control System via Arduino

S. N. Saud
article en

Abstract

Incorporating Internet of Things (IoT) technology into load control systems has changed how we acquire regulators and monitor devices, making it more convenient and safer. The proposed system focuses on designing an intelligent indicator and control system solution for demanding industrial environments where equipment experiences heavy-duty cycles. The Arduino microcontroller dictates myriad safety features and controls and monitors various devices' functions. This allows for easier mobile and Wi-Fi integration to remotely operate electronic devices, providing the system with an additional level of efficiency that increases safety in various applications such as agriculture, home automation, and industrial uses. Based on the multi-segment framework, the system processes input signals managed by an Arduino-based microcontroller that controls output devices such as motors, fans, and lights. It can be monitored 24/7 via a mode based on IoT (Internet of Things) technology to receive feedback and perform operations from anywhere in the world. This system supports system anomaly detection-e.g., motor stalls and overvoltage conditions. It can alert users if something malfunctions, improve visibility of day-to-day operations, and allow for swift responses. The results show that the designed system has improved the flexibility and usability of the operational load control using the Arduino microcontroller. It was also found that upon detecting a stall, the system feedback is sent as a notification to the user by the Blynk mobile app, thus preventing the motor operations from serious damage. Therefore, this system was able to offer sustainable solutions in contrast to overloading or overheating that may be faced by the system or the motors. It is also recommended that load frequency control (LFC) be implemented with Proportional-Integral-Derivative (PID) controllers and optimized techniques to make interconnected power systems more stable and efficient.

Al-Iraqia Journal of Scientific Engineering ResearchVol. 3(4)
Management and Science University (MY)
Affordable and clean energy
Openalex Percentile: Top 80%
IoT-based Smart Home Systems
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