Year: 2025
Type: article
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.
Authors: J. Antony Robinson, M. Suman, M. Nithesh kumar, S. Selva Rajesh, M.S. Mohamed Thoufeeq
Language: English
Subfield: Civil and Structural Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4409195068