Abstract
The key technology and main difficulty for optical fiber intrusion pre-warning systems (OFIPS) is the extraction of harmful-intrusion signals. After being processed by a phase-sensitive optical time-domain reflectometer (Φ-OTDR), vibration signals can be preliminarily extracted. Generally, these include noises and intrusions. Here, intrusions can be divided into harmful and harmless intrusions. With respect to the close study of signal characteristics, an effective extraction method of harmful intrusion is proposed in the paper. Firstly, in the part of the background reconstruction, all intrusion signals are first detected by a constant false alarm rate (CFAR). We then reconstruct the backgrounds by extracting two-part information of alarm points, time and amplitude. This ensures that the detection background consists of intrusion signals. Secondly, in the part of the two-dimensional Kolmogorov-Smirnov (K-S) test, in order to extract harmful ones from all extracted intrusions, we design a separation method. It is based on the signal characteristics of harmful intrusion, which are shorter time interval and higher amplitude. In the actual OFIPS, the detection method is used in some typical scenes, which includes a lot of harmless intrusions, for example construction sites and busy roads. Results show that we can effectively extract harmful intrusions.
Highlights
Intrusion prediction for pipelines (IPP) is used to monitor the transport process of petroleum and natural gas
We find that the signal can be divided into three parts: noise, and harmless and harmful intrusions
Harmless intrusion, which is generated by the construction on the site or vehicles, has no ability to damage the underground pipeline or optical fiber
Summary
Intrusion prediction for pipelines (IPP) is used to monitor the transport process of petroleum and natural gas. It is well known that leakage prewarning can prevent many fatal losses. Optical fibers buried along the pipeline are generally used to transmit data. The vibration measurement of these optical fibers is an effective and convenient way to detect intrusion. We can locate harmful intrusions and predict damage with the proposed method [1,2,3,4,5]. There are two types of regime in the field of optic fiber intrusion, namely reflection and interference. The Mach-Zehnder (MZ) method is an interference method and applied to the detection of synthesis signals across a whole optical fiber.
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