Fatigue loss calculation method and device for offshore photovoltaic support and medium

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By acquiring environmental data in offshore photovoltaic scenarios and using preset models to automatically calculate the service conditions and load values of photovoltaic brackets, the problem of low calculation efficiency in existing technologies is solved and the accuracy of fatigue loss is improved.

CN120688355APending Publication Date: 2025-09-23NORTHWEST ENGINEERING CORPORATION LIMITED

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Patent Information

Application Number: CN202510781773.6
Authority / Receiving Office: CN · China
Patent Type: Applications(China)
Current Assignee / Owner
Filing Date: 2025-06-12
Publication Date: 2025-09-23

Application Information

Patent Timeline

12 Jun 2025

Application

CN202510781773.6

23 Sep 2025

Publication

CN120688355A

IPC: G06F30/27; G06N3/045; G06F119/04; G06F119/14; G06F113/08

CPC: G06F30/27; G06N3/045; G06F2119/04; G06F2119/14; G06F2113/08; Y02E10/50

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Application Domain

Biological models Design optimisation/simulation

Technology Topics

Current load Engineering physics

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AI Technical Summary

Technical Problem

The existing calculation method for fatigue loss of offshore photovoltaic supports relies on manual labor, resulting in low calculation efficiency and low accuracy.

Method used

By acquiring environmental data in offshore photovoltaic scenarios and using preset weight coefficient prediction models and working condition prediction models, the current service conditions, load types, and load values of photovoltaic brackets are automatically calculated to determine fatigue losses.

Benefits of technology

The automatic calculation of fatigue loss of offshore photovoltaic supports is realized, which improves the calculation efficiency and the accuracy of fatigue loss results.

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Abstract

The invention relates to a fatigue loss calculation method and device for an offshore photovoltaic support and a medium, and relates to the technical field of fatigue loss analysis, and the method comprises the steps: determining the current service condition of a to-be-detected photovoltaic support according to the current environment data; determining the current load type of the to-be-detected photovoltaic support under the current service condition, and calculating the current load value of the to-be-detected photovoltaic support under the current service condition according to the current load type; inputting the current service condition and the current environment data into a preset weight coefficient prediction model so as to determine a load weight coefficient of the current load type according to the current service condition; and determining the total load value of the photovoltaic support to be detected according to the current load value and the load weight coefficient corresponding to the current load value, and calculating the current fatigue loss of the photovoltaic support to be detected according to the total load value. According to the invention, the calculation efficiency of fatigue loss is improved.

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