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Rising air pollution, noise, and structural degradation in urban and industrial environments poses serious risks to public safety and infrastructure durability. Traditional monitoring methods often manual, static, and lacking real-time data lead to delayed responses and limited coverage. This study presents the Industry Health Monitoring Robot (IHMR), a smart, sensor-fused, autonomous system designed for real-time surveillance of air quality, noise levels, and structural health in transportation networks and industrial zones. Equipped with MQ-05 and MQ-135 gas sensors for harmful gas detection, a DHT-11 sensor for temperature and humidity, a sound sensor for noise monitoring, and an ESP32-CAM for visual inspection, the IHMR navigates complex environments with four DC motors driven by an L298 module. The system also incorporates radar for obstacle detection and leverages four microcontrollers, two Arduino Uno boards, an ESP32 Dev Module for Wi-Fi connectivity, and an ESP32-CAM for live streaming. It supports both IoT-based data transmission and Bluetooth-enabled remote control, making it versatile for applications in gas leak detection, environmental surveillance, disaster response, and infrastructure maintenance. Experimental validations in simulated urban and industrial settings demonstrate the robot’s effectiveness in enhancing proactive safety measures through integrated sensor fusion, autonomous mobility, and real-time monitoring.

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A Smart Sensor-Fused Robot for Pollution, Noise, and Structural Health Surveillance in Transportation Networks

  • 会议论文

  • 发表日期：

    2026年

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  • Riyu Shrivastava,
  • Divyansh Jha,
  • Aftab Ahmed Ansari

摘要

Rising air pollution, noise, and structural degradation in urban and industrial environments poses serious risks to public safety and infrastructure durability. Traditional monitoring methods often manual, static, and lacking real-time data lead to delayed responses and limited coverage. This study presents the Industry Health Monitoring Robot (IHMR), a smart, sensor-fused, autonomous system designed for real-time surveillance of air quality, noise levels, and structural health in transportation networks and industrial zones. Equipped with MQ-05 and MQ-135 gas sensors for harmful gas detection, a DHT-11 sensor for temperature and humidity, a sound sensor for noise monitoring, and an ESP32-CAM for visual inspection, the IHMR navigates complex environments with four DC motors driven by an L298 module. The system also incorporates radar for obstacle detection and leverages four microcontrollers, two Arduino Uno boards, an ESP32 Dev Module for Wi-Fi connectivity, and an ESP32-CAM for live streaming. It supports both IoT-based data transmission and Bluetooth-enabled remote control, making it versatile for applications in gas leak detection, environmental surveillance, disaster response, and infrastructure maintenance. Experimental validations in simulated urban and industrial settings demonstrate the robot’s effectiveness in enhancing proactive safety measures through integrated sensor fusion, autonomous mobility, and real-time monitoring.