基于图像动态识别技术的地震动参数快速判别方法

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振动与冲击 ›› 2022, Vol. 41 ›› Issue (5) : 189-196.

论文

刘济舟1，孟上九1,2,3，袁晓铭1，王淼2，孙义强1

作者信息 +

Fast recognition method of ground motion parameters based on image dynamic recognition technique

LIU Jizhou1, MENG Shangjiu1,2,3, YUAN Xiaoming1, WANG Miao2, SUN Yiqiang1

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文章历史 +

摘要

随着5G时代的到来，地震过程能通过密集分布的摄像头实时记录并快速传输处理，以动态图像的形式更直观地呈现出来。如能从中快速准确的提取地震动参数等数据，将会是地震资料的宝库，弥补地震台站布置密度的不足。通过振动台模拟地震过程，结合图像识别和结构动力学分析方法，提出一种基于图像动态识别技术的地震动参数快速判别方法。通过不同摄像头高度、波形和振动频率下的计算和实测加速度曲线对比分析，多数加速度峰值误差在40%以内，证明该方法具有应用推广价值，能为将来地震动分析工作提供另一层面的解决途径。

Abstract

With the advent of the 5G era, the earthquake process can be recorded, transmitted and processed in real time by densely distributed, and presented more intuitively in the form of dynamic images. If data such as ground motion parameters can be extracted quickly and accurately, it will be a treasure trove of seismic data and make up for the lack of density in the layout of seismic stations. By using shaking table to simulate the seismic process, combined with image recognition and structural dynamics analysis methods, a rapid identification method of ground motion parameters based on dynamic image identification technology was proposed. Through comparison and analysis of calculated and measured acceleration curves under different camera heights, waveforms and vibration frequencies, most of the acceleration peak errors were within 40%. It proved that this method has application value and could provide another level of solution for future earthquake analysis work.

关键词

振动台实验

/ 地震动参数 / 摄影测量 / 图像识别

Key words

vibrating table experiment / the ground motion parameter / photogrammetry / image identification

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刘济舟1，孟上九1,2,3，袁晓铭1，王淼2，孙义强1 . 基于图像动态识别技术的地震动参数快速判别方法[J]. 振动与冲击, 2022, 41(5): 189-196

LIU Jizhou1, MENG Shangjiu1,2,3, YUAN Xiaoming1, WANG Miao2, SUN Yiqiang1. Fast recognition method of ground motion parameters based on image dynamic recognition technique[J]. Journal of Vibration and Shock, 2022, 41(5): 189-196

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