SOLARSENSE: IOT-BASED SOLAR PERFORMANCE MONITORING AND PREDICTIVE MAINTENANCE

SolarSense system is based on an ESP32 microcontroller to track the performance of solar panels. It is a Sense system consisting of an INA219 voltage and current sensor, a DHT11 temperature sensor and an LDR sunlight sensor. The system analyzes the sensor data and determines the amount of power that is being generated, and detects any change in panel performance. SolarSense system uses Wi-Fi to send data from the sensor to an online dashboard. Users can remotely track the solar panel performance through the system. The SolarSense system to me is useful for monitoring solar energy. It offers an easy way to monitor conditions of solar panels. The web dashboard allows you to view sensor data, environment and solar panel performance without the need of a separate display. This solution integrates embedded processing, wireless communication and web-based visualization into a useful monitoring solution. It can be helpful to monitor the performance of solar panels with a computer. The dashboard also provides information on the difference in power generation and environmental changes. Possible upgrades include cloud-based data storage, mobile notifications, multiple panel monitoring, improved sensor calibration and AI-based maintenance prediction. Further testing to verify the accuracy of measurements, the reliability of power calculations, and the reliability of communication. The system can be used to track solar performance and possible failures. Further validation is needed before in use. The improvements could make the system more useful and reliable for future applications of solar energy.

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