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Abstract
The article discusses the prevention of emergencies associated with carbon monoxide spread in residential buildings. Existing detection systems are analyzed and an early warning system based on artificial intelligence and Internet of Things technologies is proposed. The system evaluates gas concentration, temperature, humidity and ventilation conditions to predict hazardous situations before they become critical.
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