2021/11/15 by Myssar Jabbar Hammood Al-Battbootti, Al-Battbootti, Myssar Jabbar Hammood, Iuliana Marin +5
Computer Science · Engineering · #Advanced Neural Network Applications #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #Computers and Society (cs.CY) #FOS: Computer and information sciences #Infrastructure Maintenance and Monitoring #Structural Integrity and Reliability Analysis
paper · pdf · doi:10.48550/arxiv.2111.09155
openalex publication_date 2021/11/15 · openalex created_date 2022/07/25 · openalex updated_date 2026/07/28
The vast network of oil and gas transmission pipelines requires periodic\nmonitoring for maintenance and hazard inspection to avoid equipment failure and\npotential accidents. The severe COVID-19 pandemic situation forced the\ncompanies to shrink the size of their teams. One risk which is faced on-site is\nrepresented by the uncontrolled release of flammable oil and gas. Among many\ninspection methods, the unmanned aerial vehicle system contains flexibility and\nstability. Unmanned aerial vehicles can transfer data in real-time, while they\nare doing their monitoring tasks. The current article focuses on unmanned\naerial vehicles equipped with optical sensing and artificial intelligence,\nespecially image recognition with deep learning techniques for pipeline\nsurveillance. Unmanned aerial vehicles can be used for regular patrolling\nduties to identify and capture images and videos of the area of interest.\nPlaces that are hard to reach will be accessed faster, cheaper and with less\nrisk. The current paper is based on the idea of capturing video and images of\ndrone-based inspections, which can discover several potential hazardous\nproblems before they become dangerous. Damage can emerge as a weakening of the\ncladding on the external pipe insulation. There can also be the case when the\nthickness of piping through external corrosion can occur. The paper describes a\nsurvey completed by experts from the oil and gas industry done for finding the\nfunctional and non-functional requirements of the proposed system.\n