Method for detecting leakage of pipeline of tank farm

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...

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 pressure and flow sensor data to detect leaks, which has the advantage of low leak detection cost, but it is not sensitive to small parameter changes caused by small leaks and slow leaks, and cannot adapt to normal working conditions. resulting in a higher false positive rate

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