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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM65799
Volume:
10 |
7 |
Jul 2026
Pages:
1-3
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Computer Science and Engineering
Vidarbha Institute of Technology
Computer Science and Engineering
Vidarbha Institute of Technology
Computer Science and Engineering
Vidarbha Institute of Technology
Computer Science and Engineering
Vidarbha Institute of Technology
Computer Science and Engineering
Vidarbha Institute of Technology
Computer Science and Engineering
Vidarbha Institute of Technology
This paper presents the design and implementation of an IoT-enabled Solar Tracking and Fire Detection System based on the Arduino Nano platform. The proposed system integrates renewable energy optimization, safety monitoring, and real-time data visualization into a compact and cost-effective solution. A dual Light Dependent Resistor (LDR)-based sensing mechanism continuously detects the direction of maximum solar irradiance and automatically aligns a 6 V photovoltaic panel using an SG90 servo motor (180°), thereby improving solar energy harvesting throughout the day. To enhance operational safety, an infrared (IR) flame sensor is incorporated for continuous fire detection. Upon detecting the presence of a flame, the Arduino Nano activates an audible buzzer and a visual LED indicator to provide an immediate local alert. Additionally, a relay module is included to enable automatic control of external electrical loads or safety devices when required. The system also incorporates a voltage sensor module (0–25 V) to monitor the real-time output voltage of the solar panel. A Wemos D1 Mini (ESP8266) module is interfaced with the Arduino Nano to transmit sensor data to an IoT dashboard, allowing users to remotely monitor the solar panel performance and system status over the internet. Power is supplied by a 12 V battery, while an LM2596 buck converter provides a regulated 5 V supply for the microcontroller and peripheral modules. The complete hardware prototype is assembled on a PCB/zero board to achieve a compact, reliable, and portable design. Experimental evaluation demonstrates that the proposed system effectively tracks solar movement, increases solar energy utilization, provides timely fire detection, and enables remote performance monitoring through IoT connectivity. Owing to its low cost, simplicity, and scalability, the proposed solution is well suited for residential, agricultural, educational, and small-scale renewable energy applications.
KEYWORDS
The proposed IoT-enabled Solar Tracker and Fire Detection System was successfully designed, implemented, and tested. The Arduino Nano served as the central controller, integrating solar tracking, fire detection, and real-time monitoring into a single platform. The solar tracking mechanism effectively utilized dual LDR sensors to detect the direction of maximum sunlight. Based on the sensor inputs, the SG90 servo motor continuously adjusted the orientation of the solar panel, ensuring optimal alignment with the sun and improving energy harvesting compared to a fixed panel system. The output voltage of the solar panel was measured using a voltage sensor module and successfully transmitted to an online dashboard through the Wemos D1 Mini (ESP8266), enabling real-time remote monitoring. The fire detection subsystem accurately identified flame conditions using an IR flame sensor. Upon detection, the Arduino Nano immediately activated a buzzer and LED indicator to provide an early warning. The integrated relay module also demonstrated the capability to control external safety devices or electrical loads during emergency conditions. Experimental results confirmed that the proposed prototype performed reliably under different operating conditions. The integration of automatic solar tracking, fire detection, voltage monitoring, and IoT connectivity provides an efficient, low-cost, and intelligent solution suitable for residential, agricultural, educational, and small-scale industrial applications.
[1] Arduino, “Arduino Nano — Hardware Documentation,” Arduino Docs. Available: https://docs.arduino.cc/hardware/nano/ [2] Microchip Technology Inc., “ATmega328P — 8-bit AVR Microcontroller Datasheet,” Microchip. Available: https://www.microchip.com/en-us/product/ATmega328P [3] Arduino, “Analog Input (analogRead) — Arduino Reference,” Arduino Docs.Available: https://docs.arduino.cc/language-reference/en/functions/analog-io/analogRead/ [4] Arduino, “Servo Library,” Arduino Docs. Available: https://docs.arduino.cc/libraries/servo/ [5] Espressif Systems, “ESP8266EX Datasheet,” Espressif Technical Documents Available: https://www.espressif.com/en/support/documents/technical-documents [6] ESP8266 Arduino Core, “ESP8266WiFi Library Documentation,” Available: https://arduinoesp8266.readthedocs.io/en/latest/esp8266wifi/readme.html [7] Blynk Inc., “Blynk Documentation (Console, Datastreams, Web Dashboard),” Blynk Docs. [Online]
Publication Date
7/24/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
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