. OSIFO EMMANUEL

The integrity and efficient operation of pipelines are critical for the safe transportation of oil, gas, and other fluids. Traditional pipeline monitoring methods often fall short in providing comprehensive and real-time data essential for proactive maintenance and risk management. This project explores the integration of smart technologies in pipeline pigging systems to enhance pipeline monitoring and management. Smart pigging involves the use of intelligent inspection tools that traverse the pipeline, collecting high-resolution data on internal conditions, including corrosion, cracks, and other anomalies. By leveraging advanced sensors, data analytics, and real-time communication technologies, smart pigging systems offer unprecedented insights into pipeline health, enabling predictive maintenance and timely interventions. The implementation of these systems can significantly reduce the risk of leaks and ruptures, thereby ensuring environmental safety and operational efficiency. This study reviews the latest advancements in smart pigging technology, examines case studies of successful implementations, and discusses the challenges and future directions in the field of smart pipeline monitoring. In summary, the implementation of smart pipeline monitoring using pigging systems has delivered substantial benefits in terms of anomaly detection, maintenance optimization, operational efficiency, safety, and environmental protection. The device was fully tested and proven to perform optimally by taking temperature readings of the pipeline and converted it to pressure through the use of a programmable microcontroller. Pipeline leaks and failures can easily be detected by this prototype model when there is an increase and decrease in the flow rate of the fluid