Project Overview

Project Title: Development of an Artificial Intelligence-Supported Panel-Based Smart Monitoring and Analysis System in Solar Power Plants.

Below is a summary of the knowledge gained and the development process in the project.

Sensor Integration and Data Collection

Sensor Types: Various sensors were employed to measure parameters such as current, voltage, temperature, and light intensity.
Data Acquisition: Real-time data collection from solar panels was implemented to monitor and analyze performance.

Circuit Design

Design Tools: Used Altium Designer, KiCad, LTspice, and Proteus for circuit design and PCB prototyping.
Current and Voltage Measurement: Designed circuits to measure current and voltage accurately from small-scale solar panels.
Communication: Researched and implemented Power Line Communication (PLC) for reliable data transmission.
Additional Skills: Enhanced my proficiency in using oscilloscopes for circuit testing and debugging.

Panel Communication

Inter-Panel Communication: Developed systems enabling synchronized data sharing and communication between solar panels.

AI Integration

Data Analysis Platform: Created a smart monitoring system utilizing AI to process sensor data and predict performance issues.
Fault Detection: Implemented AI algorithms to identify faults and inefficiencies in solar panel operations.

Prototyping and Implementation

Built and tested prototypes integrating sensors, communication modules, and microcontrollers. Conducted field experiments to validate the system's performance and reliability.