학술논문

Thermal Imaging and Temperature Range Segmentation of Solar Panels to Find Defects
Document Type
Conference
Source
2023 IEEE 3rd International Conference on Smart Technologies for Power, Energy and Control (STPEC) Smart Technologies for Power, Energy and Control (STPEC), 2023 IEEE 3rd International Conference on. :1-5 Dec, 2023
Subject
Aerospace
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Temperature measurement
Temperature distribution
Image segmentation
Manuals
Inspection
Maintenance engineering
Solar panels
Fault detection
Defect recognition
Machine learning
Hotspots
Language
Abstract
Solar panels are extensively used to convert sunlight into renewable energy. Nevertheless, a variety of factors, including temperature, can have a significant effect on their efficacy. In this paper, we propose a method for using thermal imaging to analyse the temperature distribution of a solar panel. The method proposes entails segmenting the thermal image into distinct temperature ranges and computing the centroid of each range. This provides a quantitative measure of temperature distribution and permits the identification of regions. Using OpenCV, we implement and evaluate our method on a thermal image of a solar panel. The results exhibit the efficacy of the proposed method for identifying various temperature ranges and locating the odd regions in the solar panel