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2019 14th IEEE International Conference on Electronic Measurement & Instruments (ICEMI)最新文献

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Cycle slip detection and estimation for ground-based high-precision local positioning system 陆基高精度局部定位系统的周跳检测与估计
Pub Date : 2019-11-01 DOI: 10.1109/ICEMI46757.2019.9101701
Chen Gang, Yang Jun
Global Navigation Satellite Systems (GNSSs) have become an almost indispensable part of our infrastructure and modern life, but in a specific environment have its limitations, or cannot be applied. Pseudollites are ground-based transmitters that can provide similar navigation measurements as GNSSs. GH-LPS developed by NUDTis a new pseudolite system allows centimeter-accuracy single-point positioning for a mobile or static device. Carrier phase observations are commonly used in high-precision positioning applications, due to their millimeter precisions. Any cycle slip, if remained undetected, would deteriorate the high accuracy positioning. Hence, it is crucial to handle the cycle slips in the carrier phase measurements for GH-LPS. Carrier phase-based RAIM (CRAIM) algorithm is proposed to detect and estimate small cycle slips. In order to evaluate the performance, a kinematic test was conducted. The experiment demonstrated that the CRAIM method can be used to solve the problem of small (e.g. 1 cycle) cycle slips and GH-LPS can provide single point positioning with centimeter-level accuracy and sub-centimeter level precision.
全球卫星导航系统(gnss)已经成为我们的基础设施和现代生活中几乎不可或缺的一部分,但在特定的环境中有其局限性,或者不能应用。伪卫星是基于地面的发射机,可以提供与gnss类似的导航测量。由NUDTis开发的GH-LPS是一种新的伪卫星系统,可以为移动或静态设备提供厘米级精度的单点定位。载波相位观测通常用于高精度定位应用,由于其毫米精度。任何周期滑动,如果不被检测到,将会降低高精度定位。因此,处理GH-LPS载波相位测量中的周期滑动是至关重要的。提出了基于载波相位的RAIM (CRAIM)算法来检测和估计小周跳。为了评估其性能,进行了运动学测试。实验表明,CRAIM方法可以解决小(如1周)周期滑移的问题,GH-LPS可以提供厘米级精度和亚厘米级精度的单点定位。
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引用次数: 0
Research on rejection magnetic levitation model simulation and wavelet analysis of its signal 拒磁悬浮模型仿真及其信号的小波分析研究
Pub Date : 2019-11-01 DOI: 10.1109/ICEMI46757.2019.9101835
Kong Deshan, Jiang Dong, Zhao Yanchao, Liu Xukun, Wang Deyu
The magnetic levitation system has the advantages of small friction and non-contact. For better application, it is necessary to carry out in-depth analysis and research on the magnetic levitation system and to process the data of the suspension. Since the rejection magnetic levitation system has a better balance range than the suction type magnetic levitation system, a rejection magnetic levitation system is designed. The dynamic equation of the rejection magnetic levitation system is established by analysis and the simulink system simulation is carried out according to the established dynamic equation. The stability balance of the repulsion magnetic levitation system is proved. The measurement data of the magnetic levitation system under external vibration conditions were measured by experiments and field experiments, and the external interference signals were removed by wavelet analysis. The experimental results verify that the designed rejection magnetic suspension system can work stably and has strong impact resistance. This design analysis method provides a theoretical basis for the wide application of magnetic levitation systems
磁悬浮系统具有摩擦小、无接触等优点。为了更好的应用,需要对磁悬浮系统进行深入的分析和研究,并对悬浮数据进行处理。由于甩吸式磁悬浮系统比吸力式磁悬浮系统具有更好的平衡范围,设计了甩吸式磁悬浮系统。通过分析建立了截留磁悬浮系统的动力学方程,并根据所建立的动力学方程进行了simulink系统仿真。证明了斥力磁悬浮系统的稳定性平衡。通过实验和现场实验对磁悬浮系统在外部振动条件下的测量数据进行测量,并利用小波分析去除外部干扰信号。实验结果表明,所设计的阻磁悬浮系统工作稳定,具有较强的抗冲击性。这种设计分析方法为磁悬浮系统的广泛应用提供了理论依据
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引用次数: 1
Application of virtual reality technology in distributed measurement training system 虚拟现实技术在分布式测量培训系统中的应用
Pub Date : 2019-11-01 DOI: 10.1109/ICEMI46757.2019.9101479
Liu Qi, Z. Hongyu
With the rapid development of virtual reality technology, virtual reality technology has been widely used in many fields, especially in the field of education and training. Traditional measurement training is subject to economics, repeatability, safety, etc. The independent practice and teaching interaction in the training process are not ideal. This paper proposes the application concept of integrating virtual reality technology into the measurement training system. The trainee can interact with the virtual reality environment in real time, effectively avoiding the waste of measurement resources and improving the safety and repeatability of measurement training. At the same time, the system can provide the super immersion feeling that the traditional training mode can not provide, so that the trainees can feel the real measurement environment, improve the field measurement support ability, and effectively enhance the training effect. For the multi-party joint guarantee measurement task, the distributed characteristics of the system can be utilized, so that the metering personnel can still perform joint training in the same training scenario in different regions, and realize systematic joint training and joint training.
随着虚拟现实技术的飞速发展,虚拟现实技术在许多领域得到了广泛的应用,尤其是在教育培训领域。传统的测量培训受经济性、可重复性、安全性等因素的制约。培训过程中自主实践与教学互动不理想。提出了将虚拟现实技术融入测量培训系统的应用理念。学员可以与虚拟现实环境进行实时交互,有效避免了测量资源的浪费,提高了测量培训的安全性和可重复性。同时,该系统能够提供传统培训模式所不能提供的超级沉浸感,让学员感受真实的测量环境,提高现场测量保障能力,有效提升培训效果。对于多方联合保障计量任务,可以利用系统的分布式特点,使计量人员在不同地区的同一训练场景中仍能进行联合训练,实现系统的联合训练和联合训练。
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引用次数: 0
Development of integrative measurement system for ignition and optical performance of high-power xenon lamp 大功率氙灯点火与光学性能综合测试系统的研制
Pub Date : 2019-11-01 DOI: 10.1109/ICEMI46757.2019.9101645
Zhang Pengsong, Wang Danyi, Gu Zhifei, Xu Jinghao, Ning Juan, Jiang Shanping, Yang Linhua
Aiming at the testing requirement of the light source of KM6 large solar simulator, a set of integrated measuring system for ignition and optical performance of high power short-arc xenon lamp is developed, which is used for function verification of xenon lamp trigger and power supply control system, measurement of optical performance parameters such as luminous efficiency, light distribution curve and optical efficiency of xenon lamp. Thus it provides reliable data support for the selection of light source, optical system design and operation of solar simulator.
针对KM6大型太阳模拟器光源的测试需求,开发了一套大功率短弧氙灯点火及光学性能综合测试系统,用于氙灯触发及电源控制系统的功能验证,以及氙灯发光效率、配光曲线、光学效率等光学性能参数的测量。从而为太阳模拟器的光源选择、光学系统设计和运行提供可靠的数据支持。
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引用次数: 0
Study on correction factor of synchrotron radiation X-ray free air ionization chamber composite loss 同步辐射x射线自由空气电离室复合损耗校正因子研究
Pub Date : 2019-11-01 DOI: 10.1109/ICEMI46757.2019.9101766
Li Yunfei, Ren Shiwei, Wan PeiWei, Wu Jinjie, Wang Ji, Li Mengshi
At the 4W1B test station of the Synchrotron Radiation Source in Beijing, the composite loss correction factor of the free-radiation ionization chamber of the synchrotron radiation was measured by the 12KeV single-energy X-ray obtained from the twin crystal. The corresponding free air ionization chamber and the traditional method for measuring the composite loss correction factor are introduced. Under the condition of voltage saturation, the method of changing the thickness of the absorption sheet is used to change the dose rate and calculate the composite loss correction factor. The result is shown in The corrected share of the selected 2400V operating voltage is 1.000000048.
在北京同步辐射源4W1B试验站,利用双晶体获得的12KeV单能x射线,测量了同步辐射自由辐射电离室的复合损耗校正系数。介绍了相应的自由空气电离室和复合损耗修正系数的传统测量方法。在电压饱和条件下,采用改变吸收片厚度的方法改变剂量率,计算复合损耗校正系数。所选2400V工作电压的修正份额为1.000000048。
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引用次数: 0
Research on calibration device of GECAM satellite gamma ray detector GECAM卫星伽玛射线探测器标定装置研究
Pub Date : 2019-11-01 DOI: 10.1109/ICEMI46757.2019.9101633
Zhou Pengyue, An Zhenghua, Wu Jinjie, Bai Zhanguo, Guo Siming
In order to meet the ground calibration requirements of Gravitational wave high-energy Electromagnetic Counterpart All-sky Monitor (GECAM) satellite gamma ray detector (GRD), two sets of single-energy x-ray calibration devices were established in China Metrology Institute (Changping). One set is a single crystal calibration device, and LiF crystal can realize continuous emission of (8.1-37.9) keV single-energy X-ray; The other set is a dual crystal calibration device. Si220 crystal and Si551 crystal can realize continuous light emission of single energy x-ray in the energy range of (38-160) keV. The X-ray energy spectrum, energy resolution and energy response of the calibration device were studied by standard high-purity germanium detectors. The test results show that the energy range of the calibration device is: (8-160) keV; monochromaticity: energy resolution 3.1%@8.1keV, 10.2%@79.9keV; monochromatic luminous flux 649cts/s@38. 0keV,678cts/s@79.9keV,298cts/s@121.8keV; monochromatic light ratio 96%@38.0keV, 97%@79.9keV, 96%@121.8keV. Combined with the actual test results of the energy point of the GRD, it indicates that the calibration device can meet the calibration requirements of the GRD.
为满足引力波高能电磁对应物全天监测(GECAM)卫星伽马射线探测器(GRD)地面标定要求,在中国计量科学研究院(昌平)建立了两套单能x射线标定装置。一套为单晶校准装置,liff晶体可实现连续发射(8.1-37.9)keV单能x射线;另一套是双晶校准装置。Si220晶体和Si551晶体可以实现(38-160)keV能量范围内单能量x射线的连续发光。采用标准高纯锗探测器对标定装置的x射线能谱、能量分辨率和能量响应进行了研究。试验结果表明,该标定装置的能量范围为:(8 ~ 160)keV;单色性:能量分辨率3.1%@8.1keV, 10.2%@79.9keV;单色光通量649cts/s@38。678年0 kev cts / s@79.9keV, 298 cts / s@121.8keV;单色光比96%@38.0keV, 97%@79.9keV, 96%@121.8keV。结合GRD能量点的实际测试结果,表明该标定装置能够满足GRD的标定要求。
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引用次数: 2
Design and implementation of fast detection system for ocean evaporation duct 海洋蒸发管道快速检测系统的设计与实现
Pub Date : 2019-11-01 DOI: 10.1109/ICEMI46757.2019.9101506
Wang Xinpeng, Men Yabin, Wang Guangjie, Zhang Dongliang, Dong Tao
In order to study the occurrence regularity and detection method of ocean evaporation duct phenomena, and to evaluate the height and intensity parameters of the duct, a fast detection system for ocean evaporation duct is designed. The system consists of measuring buoy, receiving terminal and data processing software. Data acquisition of temperature, humidity and air pressure at different height is completed by the buoy based on ZigBee wireless networking technology. And they are transmitted to the receiving terminal by the communication radio inside the buoy body. After data quality control and calculation processing, the atmosphere modified refractive index profile is calculated by software, then the height and intensity parameters of evaporation duct can be obtained. The sea trial results show that the system can obtain the height and intensity parameters quickly in the case of evaporation duct appearance, and has the characteristics of high measurement efficiency, good practicability and stable operation.
为了研究海洋蒸发风道现象的发生规律和检测方法,并对海洋蒸发风道的高度和强度参数进行评价,设计了海洋蒸发风道快速检测系统。该系统由测量浮标、接收终端和数据处理软件组成。该浮标基于ZigBee无线组网技术完成不同高度温度、湿度和气压的数据采集。通过浮标体内的通信无线电发送至接收终端。经过数据质量控制和计算处理,利用软件计算大气修正折射率廓线,得到蒸发风道的高度和强度参数。海试结果表明,该系统能在蒸发风道出现的情况下快速获得高度和强度参数,且测量效率高、实用性好、运行稳定。
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引用次数: 0
Adaptive auxiliary input extraction based on vanishing point detection for distant object detection in high-resolution railway scene 基于消失点检测的高分辨率铁路远景目标自适应辅助输入提取
Pub Date : 2019-11-01 DOI: 10.1109/ICEMI46757.2019.9101454
Li Xingxin, Zhu Liqiang, Yu Zujun, W. Yanqin
Object detection plays an important role in intrusion detection of railway safety monitoring system. Generally, high-resolution image has to be down-sampled in order to reduce the amount of computation, resulting in missed detections of distant objects. This paper proposes an auxiliary input framework based on vanishing point (VP) detection to preserve the image resolution of distant objects in railway alarm region. We improved the VP detection network based on CNN classification, which consists of two branches, estimating the x-y coordinates respectively. Auxiliary input based on VP can improve the accuracy of target detection, especially for distant targets. Experiments on public data sets show that the proposed model overperforms single-branch model and regression model.
目标检测在铁路安全监控系统的入侵检测中起着重要的作用。通常,为了减少计算量,高分辨率图像必须进行下采样,从而导致对远处物体的遗漏检测。提出了一种基于消失点(VP)检测的辅助输入框架,以保持铁路报警区域中远处物体的图像分辨率。我们改进了基于CNN分类的VP检测网络,该网络由两个分支组成,分别估计x-y坐标。基于VP的辅助输入可以提高目标检测的精度,特别是对远距离目标的检测。在公共数据集上的实验表明,该模型优于单分支模型和回归模型。
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引用次数: 5
A hot swap detection method for ORU modules of spacecraft 航天器ORU模块热插拔检测方法
Pub Date : 2019-11-01 DOI: 10.1109/ICEMI46757.2019.9101785
Cai Yaxing, W. Tao, Ma Pingxin
For on-orbit replacement of ORU module of traditional spacecraft, it is necessary to set the module to be replaced to the state of power off and disabled before replacement operation. The related transactions of module have been interrupted for a long time, and the normal function of spacecraft has been greatly affected. This paper presents an on-orbit hot swap detection method for ORU modules. The hot swap detection process is described from both communication links and electrical aspects. The method is used to realize live hot swap and plug-and-play of ORU modules in spacecraft, shorten the interruption time of module services, and provide a new plug-and-play detection method for the development of plug-and-play spacecraft.
对于传统航天器的ORU模块在轨更换,需要在更换操作前将待更换模块设置为关机禁用状态。模块的相关事务长期中断,极大地影响了航天器的正常工作。提出了一种ORU模块在轨热插拔检测方法。从通信链路和电气方面描述了热插拔检测过程。该方法实现了航天器内ORU模块的热插拔和即插即用,缩短了模块业务中断时间,为即插即用航天器的研制提供了一种新的即插即用检测方法。
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引用次数: 0
GPU acceleration design method for driver’s seatbelt detection 驾驶员安全带检测的GPU加速设计方法
Pub Date : 2019-11-01 DOI: 10.1109/ICEMI46757.2019.9101821
Jing Yongquan, Wu Tianshu, Li Jin, Zhang Zhijia, Gao Chao
With the development and maturity of deep learning algorithms, CNN have emerged in the field of computer vision. Image recognition is one of the important research directions in the field of computer vision. The traditional image recognition method is to extract features by constructing feature descriptors and then classify them by classifiers, such as gradient direction histogram and support vector machine. These methods generally have the problems of poor robustness and insufficient ability to extract features in complex application scenarios. At the same time, convolutional neural network has not been well applied in image recognition due to its large amount of computation and slow speed. With the development of GPU, the parallel computing capability has been greatly improved. This paper designs a GPU acceleration method for the driver’s seatbelt detection system based on CNN. The system is based on the Deconv-SSD target detection algorithm for vehicle detection, the Squeeze-YOLO algorithm for vehicle front windshield location, and the semantic segmentation for seat belt detection. Based on the characteristics of GPU, through the off-line merging bath normlization and convolution layer, Tensorrt model conversion technology to realize the GPU optimization speed. The results show that the proposed acceleration method can effectively improve the detection efficiency.
随着深度学习算法的发展和成熟,CNN在计算机视觉领域崭露头角。图像识别是计算机视觉领域的重要研究方向之一。传统的图像识别方法是通过构造特征描述符提取特征,然后利用梯度方向直方图和支持向量机等分类器对特征进行分类。在复杂的应用场景下,这些方法普遍存在鲁棒性差、特征提取能力不足的问题。与此同时,卷积神经网络由于计算量大、速度慢,在图像识别中并没有得到很好的应用。随着GPU的发展,并行计算能力得到了很大的提高。本文设计了一种基于CNN的驾驶员安全带检测系统的GPU加速方法。该系统基于车辆检测的Deconv-SSD目标检测算法,车辆前挡风玻璃定位的squeezy - yolo算法,以及安全带检测的语义分割。基于GPU的特点,通过离线归并浴归一化和卷积层、Tensorrt模型转换技术来实现GPU的快速优化。结果表明,提出的加速方法能有效提高检测效率。
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引用次数: 2
期刊
2019 14th IEEE International Conference on Electronic Measurement & Instruments (ICEMI)
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