Digital twin-driven natural gas pipeline leakage recognition system

Abstract

The invention relates to a digital twin-driven natural gas pipeline leakage recognition system, which belongs to a natural gas pipeline, and comprises a digital twin model construction module for constructing a digital twin model of the natural gas pipeline; the digital twinning model online updating module is used for adaptively updating the data of the physical information space and the structure and parameters of the digital twinning model online; the pipeline leakage recognition module is used for acquiring and preprocessing the sample data, judging whether a residual error between a predicted value of the digital twin model and a pipeline output actual value of the real-time data exceeds a residual error threshold value or not, and judging whether the real-time data is in a leakage working condition or not on the basis of the residual error threshold value; and the visualization module is used for displaying the pipeline physical information space data and the pipeline digital twinning body output data in real time, giving an alarm when pipeline leakage is identified, and configuring a corresponding emergency rescue scheme according to the leakage.

Description

technical field [0001] The invention belongs to the field of natural gas pipeline detection and relates to a digital twin-driven natural gas pipeline leakage identification system. Background technique [0002] Natural gas pipeline transportation is the main way of natural gas storage and transportation (gathering and transportation). Due to the characteristics of high pressure, flammable and explosive, wide distribution, long lines, and often buried underground, natural gas pipelines are subject to corrosion, aging, third-party damage and natural disasters. Under the influence of many factors, such as pipeline leakage accidents will be caused. Pipeline leakage accidents are highly accidental and extremely uncontrollable. The operation risk of the pipeline network is high and the management is difficult. Once it leaks, it is very easy to cause an explosion accident, which will not only cause a huge waste of resources and environmental pollution, but also pose a serious thre...

AI Technical Summary

Problems solved by technology

However, when this method is applied to the detection of weak leaks in natural gas pipelines, there are the following problems: (1) In the actual operation of the pipeline, there are few samples of weak leaks, the labeling accuracy of leaked samples is low, and the normal operation samples and leaked samples are not balanced; ( 2) Due to internal corrosion of the pipeline and changes in the external environment, the process characteristics of the pipeline will change over time, and a new process state will be generated. When the process characteristics change, the performance of the model established based on historical data will decrease, or even fail completely. It is necessary to update the model online to endow it with self-calibration and self-adaptation capabilities

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