International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

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AI-Driven Autonomous Pipeline Inspection and Maintenance Robot Using IoT and Smart Sensors

Author(s) J. Antony Robinson, M. Suman, M. Nithesh kumar, S. Selva Rajesh, M.S. Mohamed Thoufeeq
Country India
Abstract The increasing complexity and scale of pipeline infrastructure demand effective and efficient methods for inspection and maintenance. Traditional manual methods for pipeline inspection are often hazardous, time-consuming, and prone to errors. To address these challenges, an AI-driven autonomous pipeline inspection and maintenance robot integrated with Internet of Things (IoT) and smart sensors is proposed. This system aims to revolutionize pipeline management by offering real-time, precise, and continuous monitoring of pipeline conditions, reducing human intervention and ensuring proactive maintenance. The ESP32 Camera is a microcontroller board equipped with an ESP32 chip, which is a highly versatile and powerful microcontroller that integrates Wi-Fi and Bluetooth capabilities, along with support for external peripherals like cameras. Further, an ultrasonic sensor is a device that uses ultrasound to measure distance to an object. These sensors transmit data in real-time to a cloud-based system via IoT technology, allowing for remote monitoring, diagnostics, and predictive maintenance. This robot's capabilities ensure that it operates in hazardous or hard-to-reach areas without human assistance, improving safety and operational efficiency. Overall, this system enables early detection of potential failures, and extending the overall lifespan of the pipeline.
Keywords ESP32 Camera Microcontroller, IoT, Node MCU, Ultrasonic Sensor, Servo Motor and Robot
Field Computer > Automation / Robotics
Published In Volume 7, Issue 2, March-April 2025
Published On 2025-04-05
DOI https://doi.org/10.36948/ijfmr.2025.v07i02.40460
Short DOI https://doi.org/g9dgx5
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