Scholarlink

This work focuses on the development of a sewage gas real-time monitoring and alarm system aimed at identifying dangerous gases such as carbon monoxide (CO), methane (CH \(_4\) ), and other harmful gases present in sewage conditions. The system uses an Arduino Uno to collect sensor data, and an ESP32 module is used for wireless communication. For detecting gas concentrations, we used sensors that are MQ-4, MQ-7, and MQ-135, while the DHT11 sensor is used to measure environmental factors, including humidity and temperature. The system operates on a portable power bank to ensure continuous operation. When gas levels exceed predefined safety thresholds, local alarms are triggered in 3 seconds, and real-time alerts are sent via SMS using a Telegram bot. The system demonstrates an accuracy of more than 92% in detecting harmful gas levels. The main purpose of this study is to reduce the risks associated with gas leakage in sewage systems by allowing continuous monitoring and prompt responses. This system protects individuals by sending timely alerts; in addition, real-time alert messages are sent to family members and emergency services for assistance in safely evacuating during critical situations.

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Real-Time, Low-Cost Sewage Gas Detection and Alerting System Using Arduino, ESP, and Telegram Bot Integration

  • 会议论文

  • 发表日期：

    2026年

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  • R. Nithya Sree,
  • Medikonda Keerthi,
  • Kunuthuru Navya Reddy,
  • Satwika Chowdary,
  • Meena Belwal

摘要

This work focuses on the development of a sewage gas real-time monitoring and alarm system aimed at identifying dangerous gases such as carbon monoxide (CO), methane (CH \(_4\) ), and other harmful gases present in sewage conditions. The system uses an Arduino Uno to collect sensor data, and an ESP32 module is used for wireless communication. For detecting gas concentrations, we used sensors that are MQ-4, MQ-7, and MQ-135, while the DHT11 sensor is used to measure environmental factors, including humidity and temperature. The system operates on a portable power bank to ensure continuous operation. When gas levels exceed predefined safety thresholds, local alarms are triggered in 3 seconds, and real-time alerts are sent via SMS using a Telegram bot. The system demonstrates an accuracy of more than 92% in detecting harmful gas levels. The main purpose of this study is to reduce the risks associated with gas leakage in sewage systems by allowing continuous monitoring and prompt responses. This system protects individuals by sending timely alerts; in addition, real-time alert messages are sent to family members and emergency services for assistance in safely evacuating during critical situations.