The environment, human life, and expensive equipment are all at risk when it comes to gas leaks, which are a major risk factor that frequently result in industrial fires and pose serious threats in confined spaces like mines, residential areas, and CNG-powered vehicles. Traditional leak detection devices rely on on-site alerts, which may not always be sufficient to prevent catastrophic outcomes. In this work, an advanced leak detection system that extends alert capabilities by real-time data storing and sending alerts via SMS, enhancing the overall safety response has been made. This work is designed to identify hazardous gases such as Carbon Monoxide (CO), Methane (CH4), and especially Hydrogen Sulphide (H2S), which pose serious health risks to workers. The system is built around a cost-effective design incorporating an ESP-32 Wi-Fi module and three specialized gas sensors: the MQ2 sensor for methane, the MQ135 sensor for hydrogen sulphide, and the MQ-7 for carbon monoxide. These sensors are susceptible to their target gases and can detect even low concentrations, ensuring early warning of potential leaks. A key feature of the system is its ability to send alert messages with login credentials to access the cloud platform. This platform allows users to remotely monitor the real-time data of the gas concentration and verify the severity of the situation as needed. Cloud-based monitoring adds a layer of security by providing ongoing access to data, enabling informed decision-making in the event of a leak. Upon detecting a potentially hazardous gas leak, the prototype system activates an audible alarm using a buzzer, providing immediate on-site notification. By integrating these advanced features, the proposed gas leak detection system provides a comprehensive solution for enhancing safety in industrial environments.

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Smart Gas Sensing System Empowered with Real-Time Data Storing Over IoT

  • Spandita Biswas,
  • Priyanshu Gangly,
  • Soham Saha,
  • Anirban Chattopadhyay

摘要

The environment, human life, and expensive equipment are all at risk when it comes to gas leaks, which are a major risk factor that frequently result in industrial fires and pose serious threats in confined spaces like mines, residential areas, and CNG-powered vehicles. Traditional leak detection devices rely on on-site alerts, which may not always be sufficient to prevent catastrophic outcomes. In this work, an advanced leak detection system that extends alert capabilities by real-time data storing and sending alerts via SMS, enhancing the overall safety response has been made. This work is designed to identify hazardous gases such as Carbon Monoxide (CO), Methane (CH4), and especially Hydrogen Sulphide (H2S), which pose serious health risks to workers. The system is built around a cost-effective design incorporating an ESP-32 Wi-Fi module and three specialized gas sensors: the MQ2 sensor for methane, the MQ135 sensor for hydrogen sulphide, and the MQ-7 for carbon monoxide. These sensors are susceptible to their target gases and can detect even low concentrations, ensuring early warning of potential leaks. A key feature of the system is its ability to send alert messages with login credentials to access the cloud platform. This platform allows users to remotely monitor the real-time data of the gas concentration and verify the severity of the situation as needed. Cloud-based monitoring adds a layer of security by providing ongoing access to data, enabling informed decision-making in the event of a leak. Upon detecting a potentially hazardous gas leak, the prototype system activates an audible alarm using a buzzer, providing immediate on-site notification. By integrating these advanced features, the proposed gas leak detection system provides a comprehensive solution for enhancing safety in industrial environments.