Gas Monitoring System with Fuzzy Logic
📌 The project demonstrates a Gas Monitoring Tool utilizing Fuzzy Logic Mamdani methodology for decision-making.
💡 The system uses four gas sensors: MQ-135, MQ-2, MQ-3, and MQ-4, with readings displayed on an LCD 2x16.
🔗 Data visualization and remote monitoring are handled via the ESP32 microcontroller connected to the Blynk application.

System Components and Activation
⚙️ Key physical components include the ESP32, an LCD display, a 4-channel relay, a buzzer, and solenoid valves/door locks controlled by the relays.
🚨 The system status is binary: 0 indicates a safe area, while a status of 1 indicates danger/gas presence.
🚨 When the gas concentration exceeds a threshold (set point of 99 in the demo), the system triggers an alarm: the buzzer sounds, the LED lights up, and actuators like the pump, door lock, and solenoid valve are activated (relay status changes from 0 to 1).

Testing and Results
🧪 The system was tested by introducing gas from a gas lighter one sensor at a time to observe response times.
📈 During the gas exposure test, the system immediately registered the danger, with the LCD showing "Waspada Gas" (Gas Alert) and the associated relays activating.
📉 When the gas dissipated and the readings returned to normal, the status reverted to 0 (safe), and the pump, door lock, and solenoid valve deactivated.

Key Points & Insights
➡️ The project successfully integrates multiple gas sensors (MQ series) with Fuzzy Logic for reliable hazard assessment.
➡️ Remote monitoring and actuator control are achieved using ESP32 and the Blynk IoT platform.
➡️ The output logic clearly defines activation sequences: status 1 triggers the buzzer, LED, pump, door lock, and solenoid valve simultaneously.
➡️ Coding resources for this project are available on the creator's blog.

📸 Video summarized with SummaryTube.com on Jan 11, 2026, 11:14 UTC