Dam body deep learning model construction method based on dual-drive combination

A technology of deep learning and construction methods, which is applied in neural learning methods, biological neural network models, neural architectures, etc., to achieve the effects of improving usage efficiency, accurate evaluation, and improving safety predictions

Active Publication Date: 2022-06-10
中国华能集团有限公司江西分公司
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Problems solved by technology

[0005] For this reason, the present invention provides a dam body deep learning model construction method based on the combination of dual drivers, which can solve the technical problem of relying too much on human experience judgment and high limitations

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  • Dam body deep learning model construction method based on dual-drive combination
  • Dam body deep learning model construction method based on dual-drive combination
  • Dam body deep learning model construction method based on dual-drive combination

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Embodiment Construction

[0052] Specifically, the embodiments of the present invention increase the product of the original increment and the first parameter or the second parameter as the corrected training times on the basis of the original increment, so that the calculation complexity is low, and the calculation speed is improved. The judgment is also faster, improving the output efficiency of the results of the deep learning model.

[0053] Specifically, the building structure is a dam, and the main body of the structure is a dam body.

[0054] Specifically, the embodiment of the present invention defines the building structure and the main body of the structure. In practical applications, the building structure may include but not limited to a dam, and may also be other building structures, such as houses, bridges, etc., here Not to list them one by one, the corresponding structural subject is in a corresponding relationship with the building structure. If a house is selected as the building stru...

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Abstract

The invention relates to a dam body deep learning model construction method based on dual-drive combination, and the method comprises the steps: constructing a deep learning model of a building structure, the deep learning model taking the material strength as the input and the structure main body safety monitoring index as the output; constructing an inverse mapping model which is used for determining the material strength according to the safety index of the structure main body, verifying the risk degree of the material strength of the current structure main body according to the calculated material strength, determining the safety monitoring index of the building structure according to the material strength of the current structure main body, and determining the risk degree of the building structure; and determining an alarm mechanism according to the risk degree of the material and the risk degree of the structure main body so as to give an alarm for the safety degree of the structure main body. According to the method, the data parameter quantity for constructing the model is adjusted, so that the adjusted model is more accurate, the evaluation of the building structure is more accurate, and the accuracy and reliability of prediction are greatly improved.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence, in particular to a method for constructing a deep learning model of a dam body based on a combination of dual drivers. Background technique [0002] my country is the world's largest power producer, accounting for about a quarter of the world's total power generation. The safety, efficiency and greenness of power production are the key to the healthy development of the country and enterprises. Under the guidance of the medium and long-term development goals of "carbon peaking and carbon neutrality", the requirements for energy structure optimization are reflected in the full absorption of new energy power generation and thermal power generation as a gap supplement. In new energy, hydropower accounts for half of the share and plays an extremely important role. Therefore, ensuring the safety of dams is of great significance to the safe production of hydropower enterprises. At the s...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/06G06Q50/08G06N3/04G06N3/08
CPCG06Q10/04G06Q10/0635G06Q50/08G06N3/08G06N3/045Y04S10/50
Inventor 王鑫许英坚田禾梦鸽乐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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