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A water quality mathematical model optimization method based on big data and parallel computation

A mathematical model and parallel computing technology, applied in the direction of design optimization/simulation, calculation, general water supply saving, etc., can solve the problems of limited quantity and quality of measured data, large load, etc. Correction, efficient processing, and the effect of improving computational efficiency

Active Publication Date: 2018-12-11
INSPUR SOFTWARE CO LTD
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Problems solved by technology

Especially in the plain river network area, the number of river channels is quite large. If the calculation results of all unit cells are output, the load on the computer will be very large.
[0006] It can be seen that the authenticity of water quality simulation in the prior art is limited by the quantity and quality of measured data and the calculation performance of the water quality mathematical model

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  • A water quality mathematical model optimization method based on big data and parallel computation

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[0020] In order to make the technical problems, technical solutions and beneficial effects to be solved by the present invention clearer, the present invention will be described in detail below in conjunction with the accompanying drawings and embodiments. It should be noted that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0021] The water quality mathematical model optimization method based on big data and parallel computing includes four parts: big data preprocessing and storage, distributed computing, model automatic optimization, model call and service; The calibration and calculation process of the traditional water quality mathematical model is optimized by using parallel computing, and then the calculation result data is dynamically integrated and evaluated, thereby achieving the purpose of improving the quality of the water quality mathematical model, calculation efficiency and accuracy of...

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Abstract

The invention particularly relates to a water quality mathematical model optimization method based on big data and parallel computation. The water quality mathematical model optimization method includes carrying out packet processing on massive data needed for the model operation, optimizing the calibration and operation process of a traditional water quality mathematical model by a parallel calculation method, and carrying out dynamic integration and evaluation on data of the calculation results, thus improving the quality of the water quality mathematical model, the computing efficiency andthe precision of computing results. The water quality mathematical model optimization method based on big data and parallel computation solves the problems of model calibration and calibration causedby insufficient measured data and the long processing time of super big file water quality data, can carry out grouping and high-efficiency processing on enough hydrological data, also realizes calibration and correction of the water quality mathematical model, solves the difficulty of super-big file processing and low efficiency, and improves the calculation efficiency of water quality mathematical model.

Description

technical field [0001] The invention relates to the field of intelligent hydrology technology, in particular to a water quality mathematical model optimization method based on big data and parallel computing. Background technique [0002] With the rapid development of the economy, a large amount of industrial and domestic wastewater is discharged into the surrounding water bodies, which exceeds the self-purification capacity of the water bodies and causes increasingly serious water pollution. Nowadays, "water quality-based water shortage" has become the main factor restricting the social and economic development of the region. Therefore, it is very important for the sustainable development of the region to quantitatively evaluate and study the water quality change law of the water body, and to discuss the corresponding control measures according to its pollution characteristics. meaning. [0003] Currently widely used advanced water quality mathematical models include: [...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50G06F17/30
CPCG06F30/20Y02A20/152
Inventor 欧阳彤宋海涛赵维波郅晓林赵胜亚
Owner INSPUR SOFTWARE CO LTD
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