Multi-model coupling waterlogging early warning method and system based on Docker cluster management

A cluster management and multi-model technology, which is applied in the field of multi-model coupling waterlogging early warning, can solve the problems of timeliness and accuracy of waterlogging early warning models, and achieve the effect of improving timeliness, reducing the amount of calculation, and improving real-time performance

Pending Publication Date: 2022-06-10
WUHAN NEWFIBER OPTOELECTRONICS TECH
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[0004] In view of this, the present invention proposes a multi-model coupled waterlogging early warning method and system based on Docker cluste...

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  • Multi-model coupling waterlogging early warning method and system based on Docker cluster management
  • Multi-model coupling waterlogging early warning method and system based on Docker cluster management
  • Multi-model coupling waterlogging early warning method and system based on Docker cluster management

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[0060] The following will be combined with embodiments of the present invention, the technical solution in the embodiment of the present invention is clearly and completely described, it is clear that the embodiments described are only a part of the embodiment of the present invention, not all embodiments. Based on embodiments in the present invention, all other embodiments obtained by those of ordinary skill in the art without making creative work, are within the scope of protection of the present invention.

[0061] The present invention is aimed at the problems existing in the current real-time online model, through model area segmentation, multi-model coupling, Docker microservice cluster management, etc., to provide an optimization method for the existing online model, while reducing the duration of a single simulation, does not affect the quality of the model itself, improve the overall model running efficiency. This foundation makes it easy for modelers to manage updates to...

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Abstract

The invention discloses a multi-model coupling waterlogging early warning method and system based on Docker cluster management. The method comprises the steps that basic hydrological data and flood prevention data are collected, and a pipe network runoff model and a river channel model are established; performing model segmentation on the pipe network runoff model and the river channel model to obtain regional models, and integrating the regional models into a plurality of complete regional hydrological models according to a runoff process; in the regional hydrological model, a simulation result of the pipe network runoff model is used as a boundary condition of a river channel model for model coupling, a regional waterlogging coupling model is obtained, and a data processing analysis function module is established; respectively packaging the regional waterlogging coupling model and the data processing analysis function module into a plurality of Docker containers, respectively establishing a model cluster and a data processing cluster in a Docker cluster management mode, and deploying the model cluster and the data processing cluster into a cloud server; and performing waterlogging early warning analysis and visual display based on the model cluster and the data processing cluster. The waterlogging early warning model can give consideration to timeliness and accuracy at the same time.

Description

Technical field [0001] The present invention belongs to the field of flood early warning technology, specifically relates to a multi-model coupling waterlogging early warning method and system based on Docker cluster management. Background [0002] In the context of climate change and global warming, extreme weather occurs frequently, and heavy rains have caused great challenges to the flood control and drainage capabilities of residential areas. The resulting problem of internal waterlogging has caused a large number of people to be affected, causing huge economic losses and even casualties. Therefore, improving flood prevention and drainage capabilities is an important part of development and construction. [0003] Most of the current real-time online hydrological simulations are based on traditional data, and in order to ensure the efficiency of the simulation and shorten the time of a single simulation when establishing the model, the model will be generalized to reduce the s...

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Application Information

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IPC IPC(8): G06Q10/04G06Q10/06G06Q50/26G06F30/20G06F9/455
CPCG06Q10/04G06Q10/067G06Q50/26G06F30/20G06F9/45558G06F2009/45562G06F2009/4557
Inventor 张弦浩武治国张家铨张春萍陈韬刘翀
Owner WUHAN NEWFIBER OPTOELECTRONICS TECH
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