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Classified warning method for pipeline safety incidents based on distributed fiber-optic sensor

A distributed optical fiber, security event technology, applied in pipeline systems, gas/liquid distribution and storage, mechanical equipment, etc., can solve problems such as oil and other resource leakage, pollution of water resources, and intrusion event severity alarms, to avoid Loss of property, effect of reducing waste

Active Publication Date: 2013-08-14
天津精仪精测科技有限公司
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Problems solved by technology

[0006] The above-mentioned pipeline safety monitoring device realizes the monitoring of threats to pipeline safety events, but in actual application, it cannot give an alarm according to the severity of the intrusion event, so that some events that are far away and have high vibration intensity cannot be processed in time, resulting in oil and other accidents. Leakage of resources; especially at the bottom of the sea, it will also pollute water resources in a large area

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  • Classified warning method for pipeline safety incidents based on distributed fiber-optic sensor
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Embodiment Construction

[0033] In order to make the object, technical solution and advantages of the present invention clearer, the implementation manner of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0034] In order to carry out hierarchical early warning of threat events, timely check pipeline intrusion events, and reduce waste of resources, an embodiment of the present invention provides a hierarchical early warning method for pipeline security events based on distributed optical fiber sensors, see image 3 , Figure 4 and Figure 7 , see the description below:

[0035] 101: The photoelectric conversion unit converts the two input interference light signals into analog voltage signals;

[0036] Among them, the two-way interference optical signal input is used as the two-way interference optical signal by the pipeline safety monitoring device based on the principle of optical fiber interference (the embodiment of the present inv...

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Abstract

The invention discloses a classified warning method for pipeline safety incidents based on a distributed fiber-optic sensor. The method includes the steps of converting two interfering light signals input by a photoelectric conversion unit into analog voltage signals; acquiring total energy of the analog voltage signals x(n) under a sliding window by wavelet transform, calculating proportion of each scale signal energy in the sliding window, accounting for the total energy, to obtain signal feature values ; and extracting vibration signal feature vectors; determining threat level of the incidents according to the vibration signal feature vectors and a signal strength threshold; and correspondingly screening the pipeline invasion incidents according to the threat level. The method has the advantages that the incidents threatening pipeline safety are handled timely, resource waste is reduced, and property loss is avoided.

Description

technical field [0001] The invention relates to the field of pipeline monitoring, in particular to a hierarchical early warning method for pipeline safety events based on distributed optical fiber sensors. Background technique [0002] Pipeline transportation has been widely used as a safe and economical transportation method. Oil and gas pipelines may pass through various environments along the way. Many factors, such as natural disasters (such as earthquakes, floods, mudslides, and landslides, etc.) It causes huge economic losses, environmental pollution and personal injury. Therefore, with the continuous development of the pipeline transportation industry, the pipeline operation monitoring technology is also developing continuously. As the core of pipeline monitoring, leakage monitoring technology has always been valued by scientific and technological workers in various countries. [0003] In recent years, due to the aging of my country's pipelines and the increasingly s...

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Application Information

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IPC IPC(8): F17D5/02
Inventor 封皓孙茜靳世久曾周末李一博
Owner 天津精仪精测科技有限公司
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