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Dam body safety monitoring method and system

A technology for safety monitoring and dam body, which is applied in neural learning methods, biological neural network models, design optimization/simulation, etc. It can solve problems such as low accuracy, achieve accurate safety monitoring and improve safety.

Active Publication Date: 2022-04-29
中国华能集团有限公司江西分公司
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0009] The invention provides a dam body safety monitoring method, which is used to solve the technical problem of low accuracy in safety monitoring of the dam body in the prior art

Method used

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  • Dam body safety monitoring method and system
  • Dam body safety monitoring method and system
  • Dam body safety monitoring method and system

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Embodiment Construction

[0030] The following will clearly and completely describe the technical solutions in the embodiments of the application with reference to the drawings in the embodiments of the application. Apparently, the described embodiments are only some of the embodiments of the application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.

[0031] The embodiment of this application provides a dam safety monitoring method, based on the deep learning method of knowledge-driven and data-driven fusion, establishes a two-way mapping model from the dam material strength parameters to the dam safety monitoring index set, and realizes the prediction of safety monitoring index data And the calibration and prediction of the strength parameters of the dam body material. Such as figure 1 As shown, the method includes the followin...

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Abstract

The invention discloses a dam body safety monitoring method and system, and the method comprises the steps: building a bidirectional mapping model from a dam body material strength parameter to a dam body safety monitoring index set based on a deep learning mode of knowledge driving and data driving fusion, and achieving the prediction of safety monitoring index data and the calibration and prediction of the dam body material strength parameter. Therefore, dam body safety risk quantitative early warning can be carried out according to the dam body safety monitoring index set and the material strength parameters, safety monitoring can be carried out on the dam body more accurately, and the safety of the dam body is improved.

Description

technical field [0001] The present application relates to the technical field of power generation, and more specifically, to a dam body safety monitoring method and system. Background technique [0002] For thermal power enterprises, a large amount of fly ash is formed after coal combustion, which requires the construction of a special ash yard for storage, and the ash dam of the fly ash yard is an important link in the safety production of thermal power enterprises, such as the safety monitoring of the dam body structure is not in place , can easily lead to ash yard dam break accidents, resulting in personal casualties and property losses. For hydropower enterprises, the natural environment of the reservoir area is relatively complex and changeable. Affected by natural disasters such as heavy rain, floods, landslides, collapses, and debris flows, there may be hidden dangers to the safety of the dam structure, and even cause dam overflow, dam failure, and flooding of factory...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/23G06F30/27G06N3/04G06N3/08
CPCG06F30/23G06F30/27G06N3/08G06N3/045
Inventor 王鑫周奕许英坚田禾卢怀钿温志华钟勇赵振锐彭岳星张迎冰
Owner 中国华能集团有限公司江西分公司
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