Method and system for realizing water level prediction based on GRU network

A network implementation, water level technology, applied in prediction, neural learning method, biological neural network model, etc., can solve problems such as poor adaptability

Inactive Publication Date: 2020-04-10
ZHEJIANG PONSHINE INFORMATION TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

For example, the Xin'anjiang model, etc., these models have a certain scope of application, and can only be mastered by some professionals, so the adaptability is not strong

Method used

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  • Method and system for realizing water level prediction based on GRU network
  • Method and system for realizing water level prediction based on GRU network
  • Method and system for realizing water level prediction based on GRU network

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Embodiment 1

[0041] This embodiment provides a system for realizing water level prediction based on the GRU network, such as figure 1 As shown, comprising: a building block 11, a training module 12, a verification module 13;

[0042] The building block 11 is used to build a GRU-based GRU network model;

[0043] Described training module 12 is used for collecting water level and rainfall information, and the feature vector input corresponding to water level and rainfall information in the GRU network realizes the training of GRU network model;

[0044] The verification module 13 is configured to input test data into the trained GRU network model, and predict the height of the water level through the trained GRU network model.

[0045] In building block 11, build a GRU-based GRU network model.

[0046] In this embodiment, the GRU module of TensorFlow is used as a framework to form a GRU network model.

[0047] Among them, TensorFlow is a symbolic mathematical system based on dataflow prog...

Embodiment 2

[0077] This embodiment provides a method for realizing water level prediction based on the GRU network, including steps:

[0078] S1. Constructing a GRU network model based on GRU;

[0079] S2. Collect water level and rainfall information, and input the feature vector corresponding to water level and rainfall information into the GRU network to realize the training of the GRU network model;

[0080] S3. Input the test data into the trained GRU network model, and predict the height of the water level through the trained GRU network model.

[0081] Further, the step S2 includes:

[0082] S21. Collect water level and rainfall information, and perform characteristic statistics on the collected water level and rainfall information;

[0083] S22. Converting the statistical features of the water level and rainfall information into feature vectors;

[0084] S23. Using the feature vector as the input vector of the GRU network, the GRU network outputs the height of the predicted wate...

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Abstract

The invention discloses a system for realizing water level prediction based on a GRU network. The system comprises a construction module, a training module and a verification module, the constructionmodule is used for constructing a GRU network model based on the GRU; the training module is used for collecting water level and rainfall information and inputting feature vectors corresponding to thewater level and rainfall information into the GRU network to achieve training of the GRU network model; and the verification module is used for inputting test data into the trained GRU network modeland predicting the height of the water level through the trained GRU network model. The height of the water level can be accurately predicted, early warning is achieved in advance, countermeasures aretaken in advance, the water level of the water area is made to be at the normal height, and life safety and property safety of people are guaranteed.

Description

technical field [0001] The invention relates to the technical field of water level prediction, in particular to a method and system for realizing water level prediction based on a GRU network. Background technique [0002] With the rapid development of my country's economy and the continuous advancement of science and technology, especially the rise of the "Internet", many jobs have become simplified and informationized. In recent years, the flood season in our country has been getting longer and longer, which has greatly hindered the safety of our residents and economic development. Every time the rainy season enters, our country's flood control work will be daily severe. Therefore, how to improve the informatization of our country's flood control work , Rapid and accurate early warning has become the most critical and urgent matter for current flood control, and effective analysis methods should be used to predict and early warning in time. [0003] There are currently ma...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06N3/08
CPCG06N3/08G06Q10/04
Inventor 徐云华徐路平丁一帆孙梦杨世宏林建洪
Owner ZHEJIANG PONSHINE INFORMATION TECH CO LTD
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