Water conservancy project anti-seismic reliability prediction method and system based on cloud computing

Through cloud computing-based methods, multi-source data of water conservancy engineering structures are collected and integrated in real time, and seismic forces are calculated and optimized, the accuracy and real-time problems of seismic reliability prediction in the existing technology are solved, achieving more accurate and timely prediction results.

CN120256826AActive Publication Date: 2025-07-04GANSU ZHANGYE GANLAN WATER CONSERVANCY & HYDROPOWER ARCHITECTURAL DESIGN INST
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Patent Information

Application Number
CN202510373390.5
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-03-27
Publication Date
2025-07-04
Estimated Expiration
2045-03-27

AI Technical Summary

Technical Problem

The existing seismic reliability prediction methods for water conservancy engineering are mainly based on limited monitoring data and simplified mechanical models. It is difficult to comprehensively and accurately consider the complexity of seismic action and the actual state of water conservancy engineering structure. The data processing and analysis efficiency are low, and it cannot meet the requirements of real-time and dynamics.

Method used

The cloud-based computing method is adopted to collect the status parameters of the water conservancy engineering structure in real time through the data collection module, and use data integration and storage modules to integrate and store data. The initial response coefficient and dynamic prediction coefficient are calculated through the calculation optimization module. Real-time early warning is combined with the early warning module to optimize the prediction of new seismic force, integrate multi-source data and use advanced algorithms for processing and prediction.

Benefits of technology

It improves the accuracy and timeliness of seismic reliability prediction of water conservancy projects, can reflect the structural response under earthquakes more comprehensively and accurately, realizes real-time dynamic integration and dynamic prediction updates of multi-source data, and reduces prediction deviations caused by ignoring uncertain factors.

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Abstract

The invention discloses a water conservancy project anti-seismic reliability prediction method and system based on cloud computing, and relates to the technical field of water conservancy projects, and the method comprises the steps: collecting state parameters of a water conservancy project structure in real time through a data collection module, carrying out the data integration and storage through a data integration and storage module, and carrying out the calculation optimization through a calculation optimization module. An initial response coefficient Ca and a dynamic prediction coefficient Cb are calculated and output, based on the comparison between the dynamic prediction coefficient Cb and a dynamic prediction comparison coefficient Cb0, an early warning module is utilized to perform early warning, and a calculation optimization module is utilized to calculate and output a new earthquake acting force Lnew so as to optimize, predict and calculate parameters of the initial response coefficient Ca and the dynamic prediction coefficient Cb. Through data integration, an advanced calculation algorithm and consideration of uncertainty factors, the problems in the prior art are solved, and the accuracy, the real-time performance and the comprehensiveness of prediction of the seismic reliability of the water conservancy project are improved.
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