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

Abstract

The present invention provides a pipeline leakage monitoring method and system based on the hierarchical sequential ratio of optical fiber multi-source signals. The method includes: real-time collection of standard optical fiber base sets and detection of central wavelength data of optical fibers transmitted by the optical fiber base sets; and collecting the collected data. Demodulate to obtain environmental data and detection data; analyze the demodulated environmental data, and use the sequential ratio method to perform environmental compensation judgment tests; analyze the compensated detection data, and use the multi-source signal construction influence of the detection basis set The factor-modified sequential ratio method is used to diagnose and inspect pipeline leaks; it determines whether there is leakage and sends an alarm. This invention separates environmental data and detection data by creating two different optical fiber base groups to accurately remove false alarms caused by environmental influences. The base group adopts a spiral structure to facilitate installation and laying and prevent asynchronous interference of optical fibers in the base group. The detection base set improves system operation sensitivity and accuracy through multi-source detection, and provides early warning functions through stretching and vibration changes.

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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