A practical implementation fire monitoring systems using fuzzy methods

HIGHLIGHTS

• What: In this study observations were made on the A Practical Implementation Monitoring Systems Using Methods using temperature input from sensors smoke from MQ-2 sensors and history as evaluation variables. The authors will use fuzzy logic to improve fire detection accuracy, reduce response delays, and provide smarter solutions regarding actions to take in the event of a fire. This research implements DHT22 temperature sensor and MQ-2 gas sensor to detect fire conditions, then integrates them into Arduino UNO platform as the main microcontroller. The authors successfully implemented a fire monitoring system that uses Mamdani`s . . .
  

   

  

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