Layered sequential ratio pipeline leakage monitoring method and system based on optical fiber multi-source signal

Abstract

The invention provides a layered sequential ratio pipeline leakage monitoring method and system based on optical fiber multisource signals. The method includes the steps that optical fiber central wavelength data transmitted by a standard optical fiber base set and a detection optical fiber base set are collected in real time; environment data and detection data are obtained by demodulating the collected data; the demodulated environment data are analyzed, and environment compensation judgment and inspection are conducted through a sequential ratio method; the compensated detection data are analyzed, and pipeline leakage diagnosis and inspection are conducted by using an improved sequential ratio method based on influence factors constructed through the multisource signals of the detectionbase set; and whether leakage occurs or not is judged and an alarm is given. By creating the two different optical fiber base sets, the environment data are separated from the detection data, and a false alarm caused by environment influences is accurately removed; and a spiral structure is adopted in each base set, so that installing and laying are facilitated, and optical fibers in the base sets are protected against non-synchronous interference. The detection base set improves the operation sensitivity and accuracy of the system through multisource detection, and an early warning functionis provided through stretching and vibrating changing.

Description

technical field [0001] The invention relates to the technical field of internal detection methods of pipeline networking, in particular to a layered sequential ratio pipeline leakage monitoring method and system based on optical fiber multi-source signals. Background technique [0002] With the development of my country's economy, the demand for refined oil is increasing day by day. However, with the damage of the pipeline itself and the destruction of human factors, pipeline leakage accidents occur frequently, causing serious environmental pollution and heavy economic losses. Not only will it cause energy waste, economic loss, and environmental pollution, but it will also endanger personal safety and even cause catastrophic accidents. Therefore, it is of great significance to carry out real-time online monitoring of oil and gas pipelines, accurately and timely alarm for leakage accidents, and accurately estimate the location of leakage points. There are many kinds of exist...

AI Technical Summary

Problems solved by technology

Among them, the traditional pipeline leak detection method has the disadvantages of untimely forecast, low sensitivity and high false alarm rate, and it is easy to produce false positives for slow and small flow leaks.

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