PROBLEM STATEMENT: The problem of undetected gas leaks and human error in gas handling affects households and workplaces who are trying to maintain safety and prevent accidents because existing gas systems lack real-time monitoring, timely alerts, and automatic preventive actions.
PROPOSED SOLUTION The proposed system uses an IoT-enabled gas sensor to continuously monitor LPG leakage in real-time. When a leak is detected, the system automatically shuts off the gas supply using a relay-controlled solenoid valve to prevent accidents. It also disconnects the home’s electrical supply to avoid ignition sparks. A buzzer alarm is activated to alert nearby residents immediately. Additionally, the system sends instant mobile notifications to the user through the IoT cloud platform for remote awareness and emergency action.
FLOW PROCESS: 1.Is gas is leak yes or No YES
- gas Automatically off Using Gas sensor
- automatically cut off power supply using Micro Controller Node MCU
- And send alert nerby locally using buzzer alerm.
- Then Send Alert Notification from current home to user mobile app show the notification for gas leak.but your safe has send message and controlled.
TECHNOLOGY USED: IOT & WEB APP
Hardware Components, GAS SENSOR-MQ-2. ESP32,NODE MCU. MICRO CONTROLLER. BUZZER. RELAY MODULE. SOLENID VOLVE.
WEB APP COMPONENTS, FIRBASE. CLOUD. MOBILE APP NOTIFICATION. MQTT,HTTP C/C++ USING ARDUINO IDE.
IMPACT AND BENEFITS: The IoT-based Home Gas Accident Prevention System significantly improves home and industrial safety by detecting gas leaks at an early stage and preventing fire hazards and explosions. It ensures automatic emergency response even when residents are not present. This system reduces human casualties, prevents property damage, and enhances smart home automation and safety standards. It also supports real-time alerts and remote monitoring, creating a safer living environment.
Benfits: Prevents Accidents &Save lives. Realtime alert. Automatic safety response.
FUTURE ENHANCEMENTS:
Integration With AI/ML for Predictive Analysis Use machine learning to analyze historical gas levels and predict possible leakage before it becomes dangerous.
SMS & Emergency Services Auto-Calling Automatic SMS or voice call alerts to fire station, ambulance, or nearby emergency contacts.
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