Method for detecting leakage of pipeline of tank farm

A technology of leak detection and detection method, which is applied in pipeline systems, mechanical equipment, gas/liquid distribution and storage, etc., and can solve problems such as inability to adapt to normal working conditions, high false alarm rate, and low cost of leak detection

Inactive Publication Date: 2014-08-06
税爱社
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  • Abstract
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  • Claims
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AI Technical Summary

Problems solved by technology

Both the leakage medium detection method and the pipe wall parameter detection method require additional installation of specific detection devices, and most of them cannot achieve continuous real-time detection
The software-based method can use the existing pressu...

Method used

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  • Method for detecting leakage of pipeline of tank farm
  • Method for detecting leakage of pipeline of tank farm
  • Method for detecting leakage of pipeline of tank farm

Examples

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Embodiment Construction

[0043] Embodiment. Take this example to illustrate the specific implementation of the present invention. First, analyze the process flow of the oil depot and the current operation mode, collect the pressure data p of the operation pipeline, and perform Kalman filtering to generate pressure innovation e. The pipeline pressure and standardized pressure innovation sequence are as follows: image 3 shown.

[0044] Hypotheses on the distribution mean μ of the standardized pressure innovation e

[0045] h 0 :μ=0、H 1 :μ=θ i

[0046] θ i is the alternative hypothesis value, respectively 0.1, 0.2, 0.3, 0.4 in the embodiment, the alternative hypothesis θ is calculated after each sampling i The test statistic Y i (k) as follows:

[0047] Y i ( k ) = Σ j = 1 k ln e...

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Abstract

The invention discloses a method for detecting leakage of a pipeline of a tank farm by combining the statistical hypothesis testing technology and the pattern recognition technology. The method comprises the steps that measuring meter data and actuator state feedback information of a working site are acquired through a tank farm monitoring system, an oil transportation path is determined, and Kalman filtering is carried out on pressure measuring meter data to generate pressure information; whether the pressure of the pipeline exceeds a limit is detected according to the multi-sequential probability ratio test, and if yes, an over-limit pressure sequence and the multidimensional time domain features of the over-limit pressure sequence are extracted; recognition of leakage of the pipeline and adjustment of working conditions are carried out based on an established neural network leakage recognition model. By means of the method, a small change of the pressure of the pipeline can be detected in the least time within a regulated false alarm rate and a regulated alarm failure rate, and then whether leakage of the pipeline occurs can be determined.

Description

technical field [0001] The invention belongs to the technical field of pipeline leakage detection and relates to the comprehensive application of statistical analysis technology and pattern recognition technology in oil depot pipeline leakage detection. Background technique [0002] As an essential and important part of the oil depot, the oil pipeline organically connects the equipment and facilities of oil transportation, storage, loading and unloading, so that the oil depot receiving and dispatching operation system becomes an organic whole, thus completing the task of sending and receiving oil. Oil depot pipelines are prone to leakage due to leakage of connectors, cracks in pipeline welds and corrosion perforations. Because oil is flammable, explosive, volatile and prone to static electricity accumulation, pipeline leakage will not only cause resource loss and reduce the efficiency of oil security operations in oil depots, but also pollute the environment and even cause f...

Claims

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Application Information

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IPC IPC(8): F17D5/02
Inventor 税爱社龚骏包建明李生林罗凯文魏小涪陈扶明李华南杨国瑞束秀梅李林林龙张洪萍沈鑫
Owner 税爱社
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