典型文献
DARTS—Drone and Artificial Intelligence Reconsolidated Technological Solution for Increasing the Oil and Gas Pipeline Resilience
文献摘要：
The need for safe operation and effective main-tenance of pipelines grows as oil and gas demand rises.Thereby,it is increasingly imperative to monitor and inspect the pipeline system,detect causes contributing to develop-ing pipeline damage,and perform preventive maintenance in a timely manner.Currently,pipeline inspection is per-formed at pre-determined intervals of several months,which is not sufficiently robust in terms of timeliness.This research proposes a drone and artificial intelligence reconsolidated technological solution(DARTS)by integrating drone tech-nology and deep learning technique.This solution is aimed to detect the targeted potential root problems—pipes out of alignment and deterioration of pipe support system—that can cause critical pipeline failures and predict the progress of the detected problems by collecting and analyzing image data periodically.The test results show that DARTS can be effectively used to support decision making for preventive pipeline maintenance to increase pipeline system safety and resilience.
文献关键词：
中图分类号：
作者姓名：
Premkumar Ravishankar;Seokyon Hwang;Jing Zhang;Ibrahim X.Khalilullah;Berna Eren-Tokgoz
作者机构：
Department of Industrial and Systems Engineering,Lamar University,Beaumont,TX 77710,USA;Construction Management Program,Lamar University,Beaumont,TX 77710,USA;Department of Computer Science,Lamar University,Beaumont,TX 77710,USA
文献出处：
引用格式：
[1]Premkumar Ravishankar;Seokyon Hwang;Jing Zhang;Ibrahim X.Khalilullah;Berna Eren-Tokgoz-.DARTS—Drone and Artificial Intelligence Reconsolidated Technological Solution for Increasing the Oil and Gas Pipeline Resilience)[J].国际灾害风险科学学报（英文版）,2022(05):810-821
A类：
Reconsolidated,reconsolidated
B类：
DARTS,Drone,Artificial,Intelligence,Technological,Solution,Increasing,Oil,Gas,Pipeline,Resilience,need,operation,pipelines,grows,oil,gas,demand,rises,Thereby,increasingly,imperative,monitor,system,causes,contributing,develop,damage,perform,preventive,maintenance,timely,manner,Currently,inspection,formed,determined,intervals,several,months,which,not,sufficiently,robust,terms,timeliness,This,research,proposes,drone,artificial,intelligence,technological,solution,integrating,nology,deep,learning,technique,aimed,targeted,potential,root,problems,pipes,out,alignment,deterioration,support,that,can,critical,failures,predict,progress,detected,collecting,analyzing,image,data,periodically,test,results,show,be,effectively,used,decision,making,increase,safety,resilience
AB值：
0.61334
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机标中图分类号，由域田数据科技根据网络公开资料自动分析生成，仅供学习研究参考。
