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Intelligent Diagnostic System of Photovoltaic Connection Module for Fire Prevention  

Ahn, Jae Hyun (Semiconductor Engineering of Cheongju University)
Yang, Oh (Semiconductor Engineering of Cheongju University)
Publication Information
Journal of the Semiconductor & Display Technology / v.20, no.3, 2021 , pp. 161-166 More about this Journal
Abstract
To prevent accidents caused by changes in the surrounding environment or other factors, various protection facilities are installed at the photovoltaic connection module. The main causes of fire are sparks due to foreign substances inside the photovoltaic connection module through high temperature rise and dew condensation in the photovoltaic connection module, and fire due to heat from the power diode. The proposed method can predict the fire by measuring flame, carbon dioxide, carbon monoxide, temperature, humidity, input voltage, and current on the photovoltaic connection module, and when the fire conditions are reached, fire alarm and power off can be sent to managers and users in real time to prevent fire in advance.
Keywords
Photovoltaic Connection Module; Fire Prediction; Flame Sensor; Carbon Dioxide Sensor; Carbon Monoxide Sensor; Temperature Sensor; Humidity Sensor; Circuit Breaker; Monitoring System; Intelligent Diagnostic System;
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