Identification of Structural Parameters of Offshore Platforms Based on Reality and Virtual Technology

Vempaty Bisen
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Abstract

: Offshore platforms have complex structures, high construction costs and harsh operating environments. To prevent serious and fatal accidents, regular/irregular inspections and safety assessments of outdoor platform systems are required during work. Especially for external platforms in the middle and late stages of operation and platforms that are not running, it is more important to perform effective health detection. The purpose of this paper is to study the identification of structural parameters of offshore platforms based on the reality and virtual technology. This paper summarizes the feedback-based linear structure parameter identification methods at home and abroad in recent years, and makes a comprehensive analysis of its application origin, research importance, research status at home and abroad, existing research methods and existing problems. This paper points out that the main problem in the application of output response-based modal parameter identification technology in the field of water engineering is to eliminate the noise and null conditions of measurement signals and signal keys. Denoising and removing spurious noise is a logical model command. Experiments have shown that the recognition results are very close to the real values, and the recognition accuracy will decrease in the presence of noisy signals, and the use of virtual reality technology can improve the accuracy by about 10%.
基于现实与虚拟技术的海洋平台结构参数辨识
海洋平台结构复杂,造价高,作业环境恶劣。为防止发生严重及致命事故,在工作期间,户外平台系统须定期/不定期进行检查及安全评估。特别是对于运营中后期的外部平台和未运行的平台,进行有效的健康检测更为重要。本文的目的是研究基于现实与虚拟技术的海洋平台结构参数辨识。本文对近年来国内外基于反馈的线性结构参数辨识方法进行了总结,并对其应用起源、研究重要性、国内外研究现状、现有研究方法及存在的问题进行了综合分析。指出基于输出响应的模态参数识别技术在水利工程领域应用的主要问题是消除测量信号和信号键的噪声和零条件。去噪和去除杂散噪声是一个逻辑模型命令。实验表明,识别结果与真实值非常接近,并且在存在噪声信号的情况下识别精度会下降,使用虚拟现实技术可以将识别精度提高10%左右。
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