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Data processing method and system for mining operation data of liquefied natural gas storage tank

A technology of liquefied natural gas and operating data, applied in the field of data processing, can solve the problems of mechanism model deviation, many operating parameters, and unfavorable operating conditions, such as extension simulation, to achieve the effect of ensuring reliability and reducing overfitting

Active Publication Date: 2022-07-29
CHINA UNIV OF PETROLEUM (EAST CHINA)
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

LNG The process of the storage tank is complicated, there are many operating parameters, and the evaporated gas ( Boil-Off Gas, BOG ) volatilization is affected by factors such as ambient temperature, liquid level in the tank, pipe wall insulation effect, and receiving and receiving liquid in the storage tank. There are deviations in the traditional mechanism model. It is necessary to carry out data mining on the actual operating data to seek the internal correlation of the operating data.
[0003] The inventor found that directly using traditional machine learning methods to mine LNG The actual operating data of the storage tank has the problem of over-fitting, which is not conducive to the extension simulation of the operating conditions and limits the accuracy and application range of the digital twin

Method used

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  • Data processing method and system for mining operation data of liquefied natural gas storage tank
  • Data processing method and system for mining operation data of liquefied natural gas storage tank
  • Data processing method and system for mining operation data of liquefied natural gas storage tank

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Embodiment 1

[0027] This embodiment provides a data processing method for LNG storage tank operation data mining, including:

[0028] The first eigenvalue is obtained according to the difference between the temperature inside the storage tank and the temperature outside the storage tank; the second eigenvalue is obtained according to the difference between the temperature of the feed LNG and the temperature of the LNG in the storage tank; the first eigenvalue is constructed based on the equipment operating parameters. Three eigenvalues; the fourth eigenvalue is obtained according to the time derivative of the LNG temperature in the tank; the fifth eigenvalue is obtained according to the time derivative of the algebraic operation results of the physical state parameters of the gas phase in the tank and the volume-related parameters; the fifth eigenvalue is obtained according to the compressor Algebraic operation of the physical state parameters and displacement of the gas phase at the outlet...

Embodiment 2

[0099] This embodiment provides a data processing system for LNG storage tank operation data mining, including:

[0100] The characteristic value building module is configured to: obtain the first characteristic value according to the difference between the temperature inside the storage tank and the temperature outside the storage tank; obtain the second characteristic value according to the difference between the temperature of the feed LNG and the temperature of the LNG in the storage tank Based on the equipment operating parameters, the third eigenvalue is constructed; the fourth eigenvalue is obtained according to the derivative of the LNG temperature in the tank with respect to time; according to the algebraic operation result of the physical state parameters of the gas phase in the tank and the volume-related parameters, the derivative of time with respect to time, Obtain the fifth eigenvalue; obtain the sixth eigenvalue according to the algebraic operation of the physic...

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Abstract

The invention belongs to the technical field of data processing, and provides a data processing method and system for liquefied natural gas storage tank operation data mining. Original operation data of an LNG storage tank are recombined or calculated based on an LNG storage tank heat exchange and phase change physical model; on the basis of considering parameters or relationships such as a temperature difference value inside and outside a storage tank, a temperature difference between feeding liquefied natural gas and liquefied natural gas in the storage tank, equipment operation parameters, a relationship between gas-phase physical state parameters in the tank and volume-related parameters, a relationship between gas-phase physical state parameters at an outlet of a compressor and displacement and the like, a plurality of characteristic values are reconstructed; according to the method, a plurality of feature values are constructed, the plurality of feature values are fitted, and the result shows that compared with original feature value fitting, fitting is performed on the basis of the plurality of feature values constructed in the method, so that the occurrence of over-fitting conditions is greatly reduced, and the reliability of operating data mining in digital twinning can be ensured.

Description

technical field [0001] The invention belongs to the technical field of data processing, and in particular relates to a data processing method and system for mining operation data of liquefied natural gas storage tanks. Background technique [0002] for liquefied natural gas ( Liquefied Natural Gas, LNG ) When carrying out the digital twin of the physical operation process of the storage tank, it is necessary to accurately describe the changing process of each parameter in the technological process. LNG The technical process of the storage tank is complex, with many operating parameters, and the boil-off gas ( Boil-Off Gas, BOG The volatilization amount of ) is affected by factors such as ambient temperature, liquid level in the tank, thermal insulation effect of the pipe wall and the liquid sent and received in the tank. There is a deviation in the traditional mechanism model. It is necessary to carry out data mining on the actual operation data to seek the internal corre...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N20/00G06F16/2458
CPCG06N20/00G06F16/2465G06F2216/03
Inventor 陈雷张超顾佳刘刚
Owner CHINA UNIV OF PETROLEUM (EAST CHINA)