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Distributed fluid dynamics calculation method based on Apache Flink

A fluid dynamics and calculation method technology, applied in the field of fluid dynamics, can solve the problems of high difficulty in solving fluid flow control equations, easy data loss, slow data processing, etc., and achieve strong real-time data processing, strong throughput, Guaranteed consistent effect

Pending Publication Date: 2022-04-19
澜途集思生态科技集团有限公司
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the fluid flow phenomenon is very complex, and it is difficult to solve the governing equations of fluid flow. The details of the fluid flow field are not enough to meet the relevant calculation requirements. The calculation efficiency is not high, the data processing is slow, and the data is easily lost.

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  • Distributed fluid dynamics calculation method based on Apache Flink

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Embodiment Construction

[0018] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention.

[0019] refer to figure 1 , a distributed fluid dynamics calculation method based on Apache Flink, including the following steps:

[0020] S1 data acquisition: receive fluid data generated in a specific watershed, and use distributed collection to collect fluid data in real time;

[0021] S2 data cleaning: Use the map operator split function of the Flink platform to convert the collected fluid data line by line, and use the flatmap operator split function of the Flink platform to convert each fluid data record from one line to multiple lines. Use the keyby operator partition function of the Flink platform to partition each fluid data record according to the speed val...

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Abstract

The invention discloses an Apache Flink-based distributed fluid dynamics calculation method, which comprises the following steps of: data acquisition: receiving fluid data generated by a specific drainage basin, and collecting the fluid data acquired in real time in a distributed manner; data cleaning: using a map operator splitting function of an Flink platform to convert the collected fluid data one by one, using a flatmap operator splitting function of the Flink platform to convert each fluid data record from one line to multiple lines, using a keyby operator partitioning function of the Flink platform to perform data partitioning on each fluid data record according to a speed value field, and using a speed value field as a data partition; and putting the same speed value into the same partition. By using the flink framework, the data real-time processing is very strong, the data delay is not generated, the data consistency is ensured, and the data throughput is very strong, that is, the data can be frequently written into the flink and cannot be lost.

Description

technical field [0001] The invention relates to the technical field of fluid dynamics, in particular to a distributed fluid dynamics calculation method based on Apache Flink. Background technique [0002] With the rapid development of computer technology and large-scale parallel computing technology, computational fluid dynamics has become a commonly used fluid dynamics research method, and has a very wide range of applications in scientific research and engineering applications. However, the fluid flow phenomenon is very complex, and it is difficult to solve the governing equations of the fluid flow. The details of the fluid flow field are not enough to meet the relevant calculation requirements. The calculation efficiency is not high, the data processing is slow, and the data is easily lost. Contents of the invention [0003] Based on the technical problems existing in the background technology, the present invention proposes a distributed fluid dynamics calculation meth...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/28G06F113/08G06F119/14
CPCG06F30/28G06F2113/08G06F2119/14
Inventor 任南琪王爱杰王旭路璐冯骁驰
Owner 澜途集思生态科技集团有限公司
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