一种新的基于单目视觉的振动标定直线和角度测量数字溯源方法

IF 4.3 2区 综合性期刊 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Sifan Mo;Chenguang Cai;Ming Yang;Zhihua Liu;Deguang Wang;Ying Wang
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引用次数: 0

摘要

近年来,单目视觉法已逐渐应用于精密振动标定。为保证其测量性能,高效准确的毫伏测量溯源策略显得尤为重要。本文提出了一种新的基于mv的直线和角振动测量数字溯源方法。为了便于统一和推广,建立了标准的数字振动视频数据库,并建立了通用的不确定度评价模型。该方法结合亚像素特征边缘和角提取技术以及精确的舍入误差校正模型,实现了标准的线性和角振动测量,其频率范围可扩展到0.01-10 Hz。数值实验结果表明,基于mv的线性和角振动测量值与标准值的最大相对偏差分别小于0.070%和0.069%,扩展测量不确定度小于0.093%。该方法促进了基于mv的直线和角振动计量溯源系统的改进和统一,实现了溯源链的扁平化。此外,它只需要一个高刷新率的显示器和一系列标准的数字振动视频,就可以实现高效的可追溯性,从而实现基于mv的振动传感器的原位校准和可追溯性,推进振动计量的数字化转型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Novel Digital Metrological Traceability Method for the Monocular Vision-Based Linear and Angular Measurement in Vibration Calibration
In recent years, the monocular vision (MV) method has been gradually applied to precision vibration calibration. To ensure its measurement performance, a highly efficient and accurate traceability strategy for MV measurement has become especially important. In this study, a novel digital metrological traceability method for the MV-based linear and angular vibration measurement is proposed. To facilitate unification and promotion, a standard digital vibration video database, along with a universal uncertainty evaluation model, has been established. This method achieves standard linear and angular vibration measurements by combining the subpixel feature edge and corner extraction techniques as well as an accurate rounding error correction model, whose frequency range can be extended to 0.01–10 Hz. The numerical experimental results show that the maximum relative deviations of the MV-based linear and angular vibration measurements from the standard values are less than 0.070% and 0.069%, respectively, while the expanded measurement uncertainty is less than 0.093%. This method promotes the improvement and unification of the MV-based linear and angular vibration metrological traceability system and achieves a flat traceability chain. In addition, it only requires a high refresh rate display and a series of standard digital vibration videos to achieve highly efficient traceability, which enables MV-based in situ calibration and traceability of vibration sensors and advances the digital transformation of vibration metrology.
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来源期刊
IEEE Sensors Journal
IEEE Sensors Journal 工程技术-工程:电子与电气
CiteScore
7.70
自引率
14.00%
发文量
2058
审稿时长
5.2 months
期刊介绍: The fields of interest of the IEEE Sensors Journal are the theory, design , fabrication, manufacturing and applications of devices for sensing and transducing physical, chemical and biological phenomena, with emphasis on the electronics and physics aspect of sensors and integrated sensors-actuators. IEEE Sensors Journal deals with the following: -Sensor Phenomenology, Modelling, and Evaluation -Sensor Materials, Processing, and Fabrication -Chemical and Gas Sensors -Microfluidics and Biosensors -Optical Sensors -Physical Sensors: Temperature, Mechanical, Magnetic, and others -Acoustic and Ultrasonic Sensors -Sensor Packaging -Sensor Networks -Sensor Applications -Sensor Systems: Signals, Processing, and Interfaces -Actuators and Sensor Power Systems -Sensor Signal Processing for high precision and stability (amplification, filtering, linearization, modulation/demodulation) and under harsh conditions (EMC, radiation, humidity, temperature); energy consumption/harvesting -Sensor Data Processing (soft computing with sensor data, e.g., pattern recognition, machine learning, evolutionary computation; sensor data fusion, processing of wave e.g., electromagnetic and acoustic; and non-wave, e.g., chemical, gravity, particle, thermal, radiative and non-radiative sensor data, detection, estimation and classification based on sensor data) -Sensors in Industrial Practice
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