Application of Artificial Intelligent Analysis Technology in Oil and Gas Pipeline Fiber Warning System
This article analyzes the monitoring requirements and alarms of oil and gas pipelines.Based on the analysis of time-frequency characteristics of vibration signals,one-dimensional time-sequence vibration signals and two-dimensional time-space vibration signals are automatically extracted and identified by deep learning algorithm.According to the experimental test results of pipeline monitoring sample database,it can combine the advantages of traditional algorithm and deep learning algorithm to accurately identify all kinds of mining signal samples and interference signal samples,while consuming less computation.Accurately distinguish the real threat vibration signals from many vibration signals,reduce the alarm rate of the system,and avoid the waste of manpower and material resources in pipeline inspection.
Optical fiber sensingOil and gas pipelineSafety monitoringDeep learning
NETL
NSTL
万方数据
