Research on Intelligent Early Fire Warning System Using Adaptive Neuro-Fuzzy Inference System in Green Seaport

Transportation and storage in warehouses and seaports are increasingly popular and have increased sharply in recent years. Strict fire and explosion prevention requirements must be met with the diversity of goods, incredibly flammable and explosive goods during transportation. Therefore, fire and explosion monitoring and early warning systems in these areas are increasingly developed with innovative technology and artificial intelligence applied in general alarm systems. This paper proposes and tests an early warning system for fire and explosion at seaports based on advanced fire alarm technology. Traditional addressable fire alarm systems integrating stations for collecting real-time gas concentration quality are being studied. At the same time, an early warning system for fire and explosion is built based on the Adaptive Neuro-Fuzzy Interference System (ANFIS) model and data processing algorithms from fire alarm cabinets. The system results were tested in the laboratory and deployed in practice, reaching 92%, and they strongly supported fire prevention and fighting at smart seaports in Vietnam.