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2021 IEEE 15th International Conference on Electronic Measurement & Instruments (ICEMI)最新文献

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Design of Ultrasonic Radar Detection System 超声波雷达探测系统的设计
Pub Date : 2021-10-29 DOI: 10.1109/ICEMI52946.2021.9679522
Ju Xiao, Junfeng Zhao, Fei Wu, Chengcheng Xie, Tao Chen, Hongliu Liu, Ying Chen
To solve the problems of limited range and low measurement accuracy of traditional reversing radar, a high-precision radar detection system based on dual micro-control units is designed. In this system, two STC89C52 single-chip microcomputers are used to control eight-channel ultrasonic sensors to carry out ranging to avoid blind area. Meanwhile, a temperature sensor is used to detect the environment temperature in real time, and temperature compensation ultrasonic wave velocity is applied to improve the measurement accuracy. In addition, 5 buttons are applied to set alarm threshold of buzzer which can contorl buzzer's frequency varies with different frequencies by different distances. Moreover, the design used LCD1602 and light-emitting diode for display and further warning. The test results show that the linear ranging distance of the system is 0.01 ~ 7 m, and the ranging accuracy can reach 0.01 m.
针对传统倒车雷达探测距离有限、测量精度低的问题,设计了一种基于双微控制单元的高精度雷达探测系统。在该系统中,采用两台STC89C52单片机控制八通道超声波传感器进行测距,避免盲区。同时,采用温度传感器实时检测环境温度,并采用温度补偿超声波速提高测量精度。另外,通过5个按钮设置蜂鸣器报警阈值,可以控制蜂鸣器的频率随不同频率的距离而变化。此外,本设计采用了LCD1602和发光二极管进行显示和进一步报警。测试结果表明,该系统的线性测距距离为0.01 ~ 7 m,测距精度可达0.01 m。
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引用次数: 0
Research on Canny Edge Feature Detection Technology of Color Image Based on Vector Properties 基于矢量属性的彩色图像边缘特征检测技术研究
Pub Date : 2021-10-29 DOI: 10.1109/ICEMI52946.2021.9679671
Weidi Kong, Haitao Zhang, Wei Zhao, Kai Tang
Canny edge detection based on optimization algorithm has the advantages of high accuracy and high signal-to-noise ratio. However, because the Canny algorithm was based on gray image, some edge information will be lost during the process of converting color image to gray image. Aiming at this problem, the edge detection method of color image based on vector properties was proposed in this paper. According to the properties of vectors with direction and length, the image gradient calculation of Canny algorithm was improved from the angle and length of vector, in order to realize edge feature detection of color image directly. Compared with the results detected by the conventional Canny algorithm, this method can get clearer and more accurate edges. When combined with specific color markers in specific application scenarios, this method can obtain ideal detection results that only contains the edge of the marker.
基于优化算法的Canny边缘检测具有精度高、信噪比高等优点。然而,由于Canny算法是基于灰度图像,在将彩色图像转换为灰度图像的过程中,会丢失一些边缘信息。针对这一问题,本文提出了一种基于矢量属性的彩色图像边缘检测方法。根据矢量具有方向和长度的特性,从矢量的角度和长度对Canny算法的图像梯度计算进行改进,从而直接实现彩色图像的边缘特征检测。与传统Canny算法检测结果相比,该方法可以得到更清晰、更准确的边缘。在特定的应用场景下,结合特定颜色的标记物,该方法可以获得只包含标记物边缘的理想检测结果。
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引用次数: 1
A Clock Synchronization Method Based on An Optimized DPLL Equivalent to A Steady State Kalman Filter 一种基于等效稳态卡尔曼滤波器的优化DPLL时钟同步方法
Pub Date : 2021-10-29 DOI: 10.1109/ICEMI52946.2021.9679498
Suyang Liu, Jun Yang, Xiye Guo, Kai Liu
Precise clock synchronization is indispensable in many scientific and industrial applications, such as timing laboratories, global satellite navigation systems, and distributed collaborative systems, etc. Digital locked loop (DPLL) is an efficient method to realize real-time and precise clock synchronization. One of the problems when the DPLL is used is to select its coefficients for minimum synchronization errors. This paper proposes an optimized DPLL synchronization method which is equivalent to a steady-state Kalman filter. The coefficients of the DPLL are decided by the gain of the Kalman filter. Simulation shows that the proposed method approaches the minimum synchronization error by comparing to the classical DPLL with different bandwidth. The proposed method has less computation demand, but achieves the same synchronization precision as the Kalman filter.
精确的时钟同步在许多科学和工业应用中是必不可少的,例如定时实验室,全球卫星导航系统和分布式协作系统等。数字锁环(DPLL)是实现实时、精确时钟同步的有效方法。当DPLL的问题之一是选择其系数用于同步误差最小。本文提出了一种优化的DPLL同步方法相当于一个稳态卡尔曼滤波器。DPLL的系数由卡尔曼滤波器的增益决定。仿真表明,该方法方法的最小同步错误通过比较经典的DPLL与不同的带宽。该方法计算量小,但能达到与卡尔曼滤波相同的同步精度。
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引用次数: 1
Design of Laser Energy Meter Calibration System 激光能量计标定系统的设计
Pub Date : 2021-10-29 DOI: 10.1109/ICEMI52946.2021.9679676
Ying Cai
In order to solve the calibration problem of the laser energy meter, a laser energy meter calibration system was designed. The system should be composed of laser source, beam splitter, beam expander, monitoring energy meter, standard energy meter, electric translation stage, optical platform, computer, data acquisition and analysis processing system and optical path installation accessories. The comparison method was used calibration. It is proposed to improve the technical indicators of the system from two aspects: solving the traceability of the laser energy meter calibration system and eliminating the influence of the change of laser energy over time on the measurement results. The measurement uncertainty of laser energy calibration is analyzed in detail. The system realizes a wide range of laser energy ranging from 10mJ to 40J, with a relative extended uncertainty of 2% ($k=2$), and directly traces the laser energy to the National Sub-standard of Pulsed Laser Energy. The system was used to calibrate and verify the E1000 40J laser energy meter of the Chinese Academy of Metrology and the 3SIGMA/J50-110-25ST laser energy meter of Coherent. The test results show that the laser energy meter calibration device can be used for the measurement calibration of the laser energy meter with $1.064mu mathrm{m}$ and the power measurement uncertainty below 2% ($k=2$). The establishment method and testing technology of the system can provide reference for the establishment of laser energy meter measurement standards.
为了解决激光能量计的标定问题,设计了一种激光能量计标定系统。该系统应由激光源、分束器、扩束器、监控电能表、标准电能表、电平移台、光学平台、计算机、数据采集与分析处理系统、光路安装附件等组成。采用比较法进行标定。提出从解决激光能量计标定系统的可追溯性和消除激光能量随时间变化对测量结果的影响两方面改进系统的技术指标。详细分析了激光能量标定的测量不确定度。该系统实现了10mJ ~ 40J的激光能量范围,相对扩展不确定度为2% ($k=2$),可直接将激光能量溯源至脉冲激光能量国家次标准。利用该系统对中国计量研究院的E1000 40J激光能量计和相干公司的3SIGMA/J50-110-25ST激光能量计进行了标定和验证。测试结果表明,该激光能量计校准装置可用于$1.064mu mathm {m}$的激光能量计的测量校准,功率测量不确定度低于2% ($k=2$)。该系统的建立方法和测试技术可为激光能表测量标准的制定提供参考。
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引用次数: 0
Electronic Design for Multichannel Coincidence Digital Positron Annihilation Lifetime Spectrometer 多通道重合数字正电子湮灭寿命谱仪的电子设计
Pub Date : 2021-10-29 DOI: 10.1109/ICEMI52946.2021.9679530
Changchang Zhao, H. Liang, J. Ge
Positron Annihilation Lifetime Spectroscopy (PALS) is a non-destructive spectroscopy technique that can study various phenomena and material properties on an atomic scale. As the traditional analog PALS spectrometers built with multiple nuclear instrument modules gradually showed performance defects due to accuracy limitations and long-term instability, the digital PALS spectrometers began to become popular. However, most digital PALS spectrometers based on oscilloscopes or digitizers are expensive. In order to reduce costs while maintaining high rate counts, this paper proposes an electronic design for a multichannel coincidence digital positron annihilation lifetime spectrometer. Eight identical signal channels are used in the design. Each channel contains an energy measurement circuit and a timing circuit. The analog front-end electronics is designed, simulated, manufactured, and tested. The results show that it has fine linear amplification, well shaping function, low output noise, and sufficient bandwidth. After the firmware and software development is completed, further testing and performance verification will be carried out.
正电子湮灭寿命光谱(PALS)是一种在原子尺度上研究各种现象和材料性质的无损光谱技术。传统的由多个核仪器模块组成的模拟PALS光谱仪由于精度限制和长期不稳定,逐渐出现性能缺陷,数字PALS光谱仪开始流行。然而,大多数基于示波器或数字化仪的数字PALS光谱仪价格昂贵。为了在保持高速率计数的同时降低成本,本文提出了一种多通道符合数字正电子湮灭寿命谱仪的电子设计。设计中使用了8个相同的信号通道。每个通道包含一个能量测量电路和一个定时电路。模拟前端电子设计,模拟,制造和测试。结果表明,它具有良好的线性放大、良好的整形功能、低输出噪声和足够的带宽。固件和软件开发完成后,将进行进一步的测试和性能验证。
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引用次数: 0
Lightweight Urine Sediment Image Recognition Network Based on Deep Separable Residual Structure 基于深度可分离残差结构的轻量级尿液沉积物图像识别网络
Pub Date : 2021-10-29 DOI: 10.1109/ICEMI52946.2021.9679526
Zhiyu Qu, Shuwang Cai, Qingbo Ji, Lingjing Xu
The size of urine sediment image is small, different categories are easy to be confused, and feature extraction is difficult. This paper proposes an automatic recognition method of urine sediment images based on hourglass residual structure and super-resolution image reconstruction. First, annotate and preprocess the urine sediment image to generate a urine sediment data set. Then, the super-resolution reconstruction technology is used to reconstruct the small-size urine sediment image to adapt to the input of the deep learning model. Finally, an hourglass residual network is constructed to automatically extract the features of the urine sediment image to realize the classification and recognition of the urine sediment image. The experimental results show that the overall accuracy of the method for the recognition of 13 kinds of urine sediment images can reach 99.05%. This method is lightweight enough while maintaining the depth of the network. The number of parameters is 0.73M, which is conducive to porting to mobile devices. This paper proposes a new intelligent recognition method for urine sediment images, which has a good prospect for engineering applications.
尿沉渣图像尺寸小,分类容易混淆,特征提取困难。提出了一种基于沙漏残差结构和超分辨率图像重构的尿液沉积物图像自动识别方法。首先,对尿沉渣图像进行注释和预处理,生成尿沉渣数据集。然后,利用超分辨率重建技术对小尺寸尿液沉积物图像进行重建,以适应深度学习模型的输入。最后,构建沙漏残差网络,自动提取尿沉渣图像的特征,实现对尿沉渣图像的分类识别。实验结果表明,该方法对13种尿液沉积物图像的识别总体准确率可达99.05%。这种方法在保持网络深度的同时足够轻量级。参数数为0.73M,便于移植到移动设备上。本文提出了一种新的尿液沉积物图像智能识别方法,具有良好的工程应用前景。
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引用次数: 2
Study on the Optimal Installation Position of L-type Pitot Tube During Calibration l型皮托管校准时最佳安装位置的研究
Pub Date : 2021-10-29 DOI: 10.1109/ICEMI52946.2021.9679525
Xingen Liu, Xia Li, Lingshan Yang, Weihui Zhou, Yang Xiang
In this paper, the optimal installation position of pitot tube for measuring L-type pitot coefficient in wind tunnel is studied. By analyzing the calculation formula of pitot tube coefficient, it is concluded that the influencing factor of pitot tube coefficient measurement is the difference between pitot tube total pressure and static pressure. The CFD simulation of the wind speed field near the pitot tube in the wind tunnel shows that the position that may affect the measurement results is close to the side wall of the wind tunnel. Experiments are carried out at these positions. The pitot tube is installed at different positions in the wind tunnel, the differential pressure value is measured, and the area with small differential pressure change is observed. It is concluded that the optimal installation position for pitot tube measurement is the middle position more than 50mm away from the standard pitot tube and more than 50mm away from the side wall of the wind tunnel.
本文对风洞中测量l型皮托管系数时皮托管的最佳安装位置进行了研究。通过对皮托管系数计算公式的分析,得出皮托管系数测量的影响因素是皮托管总压与静压之差。对风洞中皮托管附近风速场的CFD模拟表明,可能影响测量结果的位置靠近风洞侧壁。在这些位置进行实验。在风洞内不同位置安装皮托管,测量压差值,观察压差变化较小的区域。得出皮托管测量的最佳安装位置为距离标准皮托管50mm以上、距离风洞侧壁50mm以上的中间位置。
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引用次数: 1
Research on the Response Characteristics of Conductive Polymerization of Selective Electrode for Marine Pure Water 海洋纯水选择电极导电聚合反应特性研究
Pub Date : 2021-10-29 DOI: 10.1109/ICEMI52946.2021.9679634
Jun He, Juan Chen
There are many problems with traditional solid-state ion electrodes, such as unstable, long response time, etc. In this paper, a glassy carbon electrode was used as the conductor, and poly-ethylenedioxythiophene (PEDOT) was used as the conductive polymer layer. A new type of trace ion all-solid-state electrode was prepared by combining the sensitive membrane of the working electrode with a drop-coating method. In order to meet the needs of soft water online detection, which is important to the marine nuclear power plant, chloride ion working electrode and nitrate ion working electrode had been developed. The electrode capacitance, resistance characteristics, repeatability, detection limit, response time, selectivity coefficient, and temperature influence have been experimented. Compared with the solid station electrode without conductive polymer layer, the electrode with conductive polymer improved resistance and capacitance characteristics, improved stability and repeatability, reduced response time. The average detection error of ion select electrodes on soft water was less than 5% according to the result.
传统的固态离子电极存在着不稳定、响应时间长等问题。本文采用玻碳电极作为导体,聚乙烯二氧噻吩(PEDOT)作为导电聚合物层。将工作电极的敏感膜与滴涂法制备了一种新型的微量离子全固态电极。为了满足海洋核电站软水在线检测的需要,研制了氯离子工作电极和硝酸离子工作电极。实验了电极电容、电阻特性、重复性、检出限、响应时间、选择性系数和温度的影响。与不带导电聚合物层的固体工位电极相比,带导电聚合物的电极改善了电阻和电容特性,提高了稳定性和重复性,缩短了响应时间。结果表明,离子选择电极对软水的平均检测误差小于5%。
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引用次数: 0
An Algorithm Based on Random Forest for In-vehicle Navigation Pattern Recognition 基于随机森林的车载导航模式识别算法
Pub Date : 2021-10-29 DOI: 10.1109/ICEMI52946.2021.9679539
Jiangmiao Zhu, Xie Dong, Pengfei Wang, Yan Huang
In view of the problem of inaccurate navigation pattern recognition in complex driving environment, a navigation pattern recognition algorithm based on random forest is proposed. Firstly, the error source of navigation components is analyzed to determine the factors affecting the accuracy of different navigation patterns, as the characteristic vector of designing random forest models. Secondly, the data set is constructed by recording the data collected by the vehicle. The random forest model is trained with 70% random data in data set, and the recognition rate is verified with the remaining 30% data. The average recognition rate of this algorithm is 88%, which can meet the needs of the work.
针对复杂驾驶环境下导航模式识别不准确的问题,提出了一种基于随机森林的导航模式识别算法。首先,分析导航组件的误差来源,确定影响不同导航模式精度的因素,作为设计随机森林模型的特征向量;其次,通过记录车辆采集到的数据来构建数据集。随机森林模型用数据集中70%的随机数据进行训练,用剩余30%的数据验证识别率。该算法的平均识别率为88%,可以满足工作的需要。
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引用次数: 0
Segmentation Method of Pedestrian Object in Ground Point Cloud Image 地面点云图中行人目标的分割方法
Pub Date : 2021-10-29 DOI: 10.1109/ICEMI52946.2021.9679548
Xin Shi, Liang Yu, Pengjie Qin, Zhirui Fan, Fei Liang, Gaojie He
Aiming at the problem of incomplete segmentation of target contour information in traditional pedestrian target segmentation methods under different gaits such as walking and jogging, this paper presents a segmentation method for pedestrian objects in ground point cloud image. Firstly, statistical outlier removal combined with the random sample consensus method is proposed to remove outliers and segment all plane point clouds. Then, based on the ground point cloud image, a range maximum search method is proposed to extract the region of interest. Finally, the pass-through filter is used to segment pedestrian targets in the region of interest. In this paper, point cloud data of four gaits of three pedestrians are collected and compared with traditional Euclidean Clustering and Density-Based Spatial Clustering of Applications with Noise (DBSCAN) Clustering. The results show that the average accuracy of pedestrian target segmentation under different gait is 92.96%. The validity and advance of the proposed algorithm are proved.
针对传统行人目标分割方法在步行和慢跑等不同步态下目标轮廓信息分割不完全的问题,提出了一种地面点云图中行人目标的分割方法。首先,提出统计离群点去除与随机样本一致性方法相结合的方法,去除离群点,分割所有平面点云;然后,基于地面点云图,提出一种最大距离搜索方法提取感兴趣区域;最后,使用直通滤波器对感兴趣区域的行人目标进行分割。本文收集了三名行人的四种步态的点云数据,并与传统的欧几里得聚类和基于密度的空间聚类(DBSCAN)聚类进行了比较。结果表明,不同步态下行人目标分割的平均准确率为92.96%。验证了该算法的有效性和先进性。
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引用次数: 1
期刊
2021 IEEE 15th International Conference on Electronic Measurement & Instruments (ICEMI)
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