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Method for quickly predicting accumulated flow of natural gas pipeline network

A natural gas pipeline network and cumulative flow technology, applied in the field of big data flow prediction, can solve problems such as missing and complex measurement data, and achieve the effects of cost saving, suitable for promotion, and short calculation time

Pending Publication Date: 2022-03-01
浙江能源天然气集团有限公司 +2
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Problems solved by technology

[0004] Aiming at the problem that the measurement data is complicated or missing due to the large scale of the natural gas pipeline network system, the purpose of the present invention is to propose a method for quickly predicting the cumulative flow of the natural gas pipeline network, so as to predict the cumulative flow of the natural gas pipeline network with certain reliability. Contribute to the management analysis of natural gas pipeline transportation enterprises

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  • Method for quickly predicting accumulated flow of natural gas pipeline network
  • Method for quickly predicting accumulated flow of natural gas pipeline network
  • Method for quickly predicting accumulated flow of natural gas pipeline network

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Embodiment Construction

[0041] Below in conjunction with accompanying drawing and example the present invention will be further described

[0042]The present invention selects Sanmen Station in Zhejiang Province as a calculation example, and its station distribution is as follows figure 2 shown. It is known that the lengths of pipeline 1 and pipeline 2 are 41.44km and 31.25km respectively, and the pipe diameters are both 813mm. The pressure difference between the inlet and outlet of pipeline 1 is P 1 and P 3 , the pressure difference between the inlet and outlet of pipeline 2 is P 2 and P 4 . The time period used to calculate the example is: July 27, 2020 to August 2, 2020. The measurement data takes every hour as the node, and there is a corresponding pipeline pressure difference P and site user instantaneous flow Q every hour t and site user cumulative traffic SQ t0 .

[0043] Taking the seven days a week at Sanmen Station as an example, the actual flow test pressure data is divided into ...

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Abstract

The invention relates to a method for rapidly predicting the accumulated flow of a natural gas pipeline network. According to the method, the accumulated flow of the station users can be quickly predicted according to different natural gas pipeline network distribution conditions. According to the method, the selected data is the data of the local natural gas pipeline network of the predicted station and the upstream and downstream stations, and compared with other algorithms, the selected data size is smaller, and the calculation time is shorter; according to the method, the selected data are segmented again, and the smaller the segmented interval is, the shorter the time required for obtaining the optimal empirical parameter and predicting the future cumulative flow is. The assignment method is convenient to operate, rapid in running and suitable for popularization, flow metering can be achieved only by obtaining upstream and downstream pressure data and pipeline information at different stations, the assignment method can be popularized to calculation of a whole pipe network, and good adaptability is achieved.

Description

technical field [0001] The invention relates to the field of flow prediction using big data, in particular to a method for quickly predicting the cumulative flow of a natural gas pipeline network. Background technique [0002] As we all know, natural gas is a high-quality fuel and chemical raw material. In the process of production and life, natural gas is more used as fuel. Its combustion is complete, the unit calorific value is large, and the combustion products have little impact on the environment. Therefore, the proportion of natural gas in the world's energy structure continues to rise. With the rapid development of my country's society and economy, the natural gas pipeline network system is becoming increasingly large. However, due to the problem of data incompleteness or inaccurate data in the process of dispatching, monitoring and maintenance of the natural gas pipeline network, the flow forecast of the natural gas pipeline network has become one of the important p...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/18G06F30/28G06Q10/06G06Q50/06G06F113/14
CPCG06F30/18G06F30/28G06Q10/0639G06Q50/06G06F2113/14
Inventor 吕海舟杨敬东徐育斌刘婉莹吴昀周凯李想许好好包福兵凃程旭许飞
Owner 浙江能源天然气集团有限公司
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