Measurement method of a monocular visual ramming settlement based on the characteristics of the rammer handle

IF 5.2 2区工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY

Measurement Pub Date : 2024-11-26 DOI:10.1016/j.measurement.2024.116269

Zhijie Guo , Huiqin Wang , Ke Wang , Fengchen Chen , Fushuang Zhou

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引用次数: 0

Abstract

Ramming settlement is a key indicator to measure the quality of dynamic compaction reinforcement. Relying on manual measurement is not only costly and inefficient, but also cannot guarantee the safety of personnel. This paper proposes a monocular vision non-contact ramming settlement measurement method, aiming to improve construction efficiency, and this method can be carried out simultaneously with construction. Through the modeling of the vision camera, combined with deep learning and Fourier transform method, the rammer feature point information is extracted, and the calculation model of ramming settlement is constructed. Through the error fitting analysis, the influencing factors of ramming settlement detection are comprehensively studied. Experiments show that under real compaction conditions, the accuracy reaches 30 mm, and the accuracy that meets construction requirements reaches 91.28%. It has the characteristics of low cost, high precision and strong stability, and can be effectively applied to the automatic calculation of ramming settlement.

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来源期刊

Measurement 工程技术-工程：综合

CiteScore

10.20

自引率

12.50%

发文量

1589

审稿时长

12.1 months

期刊介绍： Contributions are invited on novel achievements in all fields of measurement and instrumentation science and technology. Authors are encouraged to submit novel material, whose ultimate goal is an advancement in the state of the art of: measurement and metrology fundamentals, sensors, measurement instruments, measurement and estimation techniques, measurement data processing and fusion algorithms, evaluation procedures and methodologies for plants and industrial processes, performance analysis of systems, processes and algorithms, mathematical models for measurement-oriented purposes, distributed measurement systems in a connected world.