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

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Curve fitting and piecewise linear method for Z-type temperature sensor z型温度传感器的曲线拟合与分段线性方法
Pub Date : 2019-11-01 DOI: 10.1109/ICEMI46757.2019.9101410
Jiang Dong, Zhao Liping, Zhao Yanchao, Wang Deyu
The Z-type temperature sensor measuring circuit and shaping circuit were designed for nonlinear problems exist in Z-type temperature sensor. The output frequencies of Z-type temperature sensor were measured at different temperatures. Which dispersion and nonlinear characteristics were analyzed. Linear compensation principle and its significance were explained. Linear output values corresponds precisely with the measured temperature values through nonlinear curve fitting. Test shows that the design of the Z-type temperature sensor error is 2 ‰. Accuracy has been improved. The nonlinear compensation method has practical value for large scale manufacture of Z-sensor.
针对z型温度传感器存在的非线性问题,设计了z型温度传感器的测量电路和整形电路。测量了z型温度传感器在不同温度下的输出频率。其中色散和非线性特性进行了分析。阐述了线性补偿原理及其意义。通过非线性曲线拟合,线性输出值与实测温度值精确对应。试验表明,设计的z型温度传感器误差为2‰。准确性得到了提高。该非线性补偿方法对z形传感器的大规模生产具有实用价值。
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引用次数: 1
Ultraprecision circulating cooling water machine using bidirectional control of cooling and heating power 超精密循环冷却水机采用双向控制冷却和加热功率
Pub Date : 2019-11-01 DOI: 10.1109/ICEMI46757.2019.9101692
Lu Yesheng, Cui Junning, Bian Xingyuan, Zhao Yamin, Tan Jiubin
A circulating cooling water machine using agile bidirectional cooling and heating power control method is developed to produce circulating cooling water of high temperature stability and good dynamic performance. Cooling module based on thermoelectric cooling and multilayer compact structure is proposed to achieve cooling power output resolution at sub-watt level and quick response. Heating module based on a compact solenoid-in-tube structure is proposed to achieve heating power output with sub-watt level resolution and quick response. Experiments indicate that temperature stability of ± 3 mK, regulating resolution of 5 mK and regulating time of 128 s corresponding to 1 K step of circulating cooling water temperature are achieved with the developed machine. Thus, the developed machine can satisfy the challenging requirements of precision manufacturing.
为了生产高温稳定、动态性能好的循环冷却水,研制了一种采用敏捷双向冷却和加热功率控制方法的循环冷却水机。为了实现亚瓦级制冷功率输出分辨率和快速响应,提出了基于热电制冷和多层紧凑结构的制冷模块。为了实现亚瓦级分辨率和快速响应的加热功率输出,提出了一种基于紧凑管内螺线管结构的加热模块。实验表明,该装置的温度稳定性为±3 mK,调节分辨率为5 mK,循环冷却水温度1 K步长对应的调节时间为128 s。因此,所开发的机器可以满足精密制造的挑战性要求。
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引用次数: 0
Dynamic optimization of laser inter-satellite link network topology based on genetic algorithm 基于遗传算法的激光星间链路网络拓扑动态优化
Pub Date : 2019-11-01 DOI: 10.1109/ICEMI46757.2019.9101521
Wang Chengzhuo, Liu Suyang, Guo Xiye, Yang Jun
This paper studies the network topology dynamic problem of the laser inter-satellite link in the navigation constellation. Since the reestablishment time of the laser inter-satellite link is relatively long, this paper envisages that multiple laser intersatellite links reestablish links at the same time when the network topology changes. Therefore, it is necessary to maintain certain performance during the change. The inter-satellite link of the navigation constellation needs to balance the communication and the inter-satellite orbit determination performance. This paper proposes the link transmission cost based on the inter-satellite link distance and the amount of data transmitted on the link to measure the communication performance of the inter-satellite link, and the position dilution of precision to measure the performance of the orbit determination. In this paper, a multi-objective optimization model is established, aiming to improve the performance of the communication and inter-satellite orbit determination. The model used genetic algorithm to solve the problem. The simulation results have shown that the inter-satellite link network topology witnessed an obvious improvement in both the communication performance and the orbit determination performance, and has good communication performance when network changes.
本文研究了导航星座中激光星间链路的网络拓扑动态问题。由于激光星间链路重建时间较长,本文设想当网络拓扑发生变化时,多个激光星间链路同时重建链路。因此,有必要在变更期间保持一定的性能。导航星座星间链路需要平衡通信性能和星间定轨性能。本文提出了基于星间链路距离和链路上传输数据量的链路传输成本来衡量星间链路的通信性能,以及位置精度稀释来衡量星间链路的定轨性能。为了提高通信和星间定轨性能,本文建立了多目标优化模型。该模型采用遗传算法求解该问题。仿真结果表明,星间链路网络拓扑结构在通信性能和定轨性能方面都有明显改善,并且在网络变化时具有良好的通信性能。
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引用次数: 5
Incremental fault diagnosis method for space on-orbit equipment 空间在轨设备故障增量诊断方法
Pub Date : 2019-11-01 DOI: 10.1109/ICEMI46757.2019.9101518
Wang Zhenya, Yong Yingqiong, Zheng Benchang, Lu Ying
Prognostics and systems health management (PHM) have been manifested the pivotal role for guaranteeing the on-orbit service capacity of space equipment with high reliability, high security and maintainability. Considering the limitation of spatial information bandwidth and initial information, few shot learning based incremental fault diagnosis provides a new way for on-line fault detection of on-orbit equipment. In this paper, an incremental fault diagnosis method for on-orbit equipment based on cut edge weight estimation is proposed by combining the framework of collaborative learning and the idea of graph theory data editing. The experiment of applying above method to space actuating system was also carried out.
预测和系统健康管理(PHM)在保障空间设备高可靠性、高安全性和可维护性的在轨服务能力方面发挥着至关重要的作用。考虑到空间信息带宽和初始信息的限制,基于少弹学习的增量故障诊断为在轨设备的在线故障检测提供了一种新的方法。本文结合协同学习框架和图论数据编辑思想,提出了一种基于切边权估计的在轨设备增量故障诊断方法。并将该方法应用于空间作动系统进行了实验研究。
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引用次数: 0
Design of high-speed information channel for satellite test based on serial Rapid I/O 基于串行快速I/O的卫星试验高速信息通道设计
Pub Date : 2019-11-01 DOI: 10.1109/ICEMI46757.2019.9101656
Zhang Bo, L. Jun, Liu Li, Gao Qi, Cui Xiuhai
With the increasing demand for test data and increasing timeliness requirement of the satellite on-orbit test system, the traditional satellite on-orbit test system exposes the problem of insufficient rate, low efficiency and large software resource overhead during data transmission between units in the system. Aiming at problem stand above, this paper proposes a high-speed transmission channel based on serial Rapid IO (SRIO) protocol to realize data transmission between units of the system. The proposed high-speed data transmission channel uses SRIO protocol and DMA technology, based on the ZYNQ MPSoC, to design the data transmission channel between the information processing unit and the data storage-unit. Finally, we tested two Xilinx Zynq-7000 SoC Devices, and built 4 SRIO channels between boards developed by the laboratory. Under the condition of less software resources, the single-channel transmission speed can reach 4.4Gb/s and the transmission efficiency is over 88%. The result indicates that the proposed channel has the characteristics of high speed, high efficiency, light weight and high reliability.
随着卫星在轨测试系统对测试数据需求的不断增加和对时效性要求的不断提高,传统的卫星在轨测试系统在系统各单元之间的数据传输过程中暴露出速率不足、效率低下和软件资源开销大的问题。针对上述问题,本文提出了一种基于串行快速IO (SRIO)协议的高速传输通道,实现系统各单元之间的数据传输。本文提出的高速数据传输通道采用SRIO协议和DMA技术,基于ZYNQ单片机设计了信息处理单元和数据存储单元之间的数据传输通道。最后,我们测试了两个Xilinx Zynq-7000 SoC器件,并在实验室开发的电路板之间构建了4个SRIO通道。在软件资源较少的情况下,单通道传输速度可达4.4Gb/s,传输效率达88%以上。结果表明,该信道具有高速、高效、轻量化和高可靠性的特点。
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引用次数: 2
An energy node-based modelling method for indoor energy flow state of industrial buildings 基于能量节点的工业建筑室内能量流状态建模方法
Pub Date : 2019-11-01 DOI: 10.1109/ICEMI46757.2019.9101494
Shi Xin, Tian Wenbin
The energy consumption of industrial buildings continues to increase. Improving the energy efficiency of buildings and effectively reducing energy consumption are urgent problems to be solved. In order to effectively evaluate the energy consumption of industrial buildings, this paper proposes a method for constructing the indoor energy flow state model of industrial buildings. The state of energy flow in the building is described by the state of temperature, humidity and wind speed. The control space adopts PCA, and the global space adopts KPCA to extract energy flow state characteristic parameters, then K-means cluster it. The clustering areas are defined as energy nodes, then extracted fusion points and stable points from energy nodes to describe energy flow state. Comparative experiments were carried out with the original temperature and humidity monitoring model of industrial buildings. Based on CFD, the model ensure the accuracy, the effective coverage is increased by 20%, and the amount of information feedback is reduced by 55%.
工业建筑能耗持续增加。提高建筑能效,有效降低能耗,是亟待解决的问题。为了有效地评价工业建筑的能耗,本文提出了一种构建工业建筑室内能量流状态模型的方法。建筑内的能量流动状态由温度、湿度和风速状态来描述。控制空间采用主成分分析,全局空间采用KPCA提取能量流状态特征参数,对其进行K-means聚类。将聚类区域定义为能量节点,然后从能量节点中提取融合点和稳定点来描述能量流状态。并与原有工业建筑温湿度监测模型进行了对比实验。基于CFD的模型在保证精度的同时,有效覆盖率提高了20%,信息反馈量减少了55%。
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引用次数: 0
Study on BP neural network model of optical system parameters based on temperature variation 基于温度变化的光学系统参数BP神经网络模型研究
Pub Date : 2019-11-01 DOI: 10.1109/ICEMI46757.2019.9101803
L. Liwei, Zhao Zijun, Xu Qian, Wu Liang
Temperature variation will lead to expansion or contraction of different components in the optical system of aerospace camera and change of refractive index of optical materials, which will bring changes in parameters in the optical system, thus affecting the camera. For temperature variation and the parameters of the theoretical study is less, in this paper, through establishing the model of image point drift is put forward based on the change of temperature change and the lens optical system parameters of BP neural network model, parameter variation within the temperature variation and the fitting results show that the model can be estimated by temperature variation parameter variation. hange.
温度的变化会导致航天相机光学系统中不同部件的膨胀或收缩,以及光学材料折射率的变化,从而引起光学系统参数的变化,从而影响相机的性能。对于温度变化和参数变化较少的理论研究,本文通过建立像点漂移模型,提出了基于温度变化和透镜光学系统参数变化的BP神经网络模型,对温度变化范围内的参数变化进行拟合,结果表明该模型可以通过温度变化来估计参数的变化。焊割。
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引用次数: 1
Research on fault-tolerant flight control computer for unmanned air vehicle 无人机容错飞控计算机研究
Pub Date : 2019-11-01 DOI: 10.1109/ICEMI46757.2019.9101629
Pan Jihui
With the development of high altitude long endurance UAV, Flight Control System in high altitude long endurance UAV must have so strong failure-tolerant ability that it can improve the whole system reliability. Using redundancy technique can extremely improve failure-tolerant and reliability of flight control system. Compared among civil and military aircraft and UAV, the architectures and redundancy management of fault-tolerant flight control computer (FCC) systems are introduced. Then, give a new architectures and redundancy management of fault-tolerant FCC systems for high altitude long endurance UAV. The experimental results show that the system meets the UAV’s demand of high reliability, low cost and good expansibility, maximize the utilization of system resources and effectively improve the fault tolerant capability of airborne computer and the reliability of sensor subsystem. With fault injection test method, the results show that the fault tolerant methods improve fault detection rate and fault isolation rate.
随着高空长航时无人机的发展,高空长航时无人机的飞控系统必须具有较强的容错能力,才能提高整个系统的可靠性。采用冗余技术可以极大地提高飞控系统的容错性和可靠性。通过对民用和军用飞机及无人机的比较,介绍了容错飞控计算机系统的体系结构和冗余管理。然后,给出了高空长航时无人机容错FCC系统的新架构和冗余管理。实验结果表明,该系统满足了无人机高可靠性、低成本和良好扩展性的要求,最大限度地利用了系统资源,有效提高了机载计算机的容错能力和传感器子系统的可靠性。通过故障注入测试,结果表明容错方法提高了故障检出率和故障隔离率。
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引用次数: 1
Traffic sign classification network using inception module 网络交通标志分类使用inception模块
Pub Date : 2019-11-01 DOI: 10.1109/ICEMI46757.2019.9101433
Zhao Dongfang, Kang Wenjing, Li Tao, Li Gongliang
With the rapid development of the automobile industry, the demand for autonomous driving becomes more and more urgent, and the traffic sign recognition technology in autonomous driving is an indispensable technology. This paper proposes a GoogLeNet based convolutional neural network for traffic signs. This convolutional neural network improves each of the underlying Inception Modules and adds the Batch Normalization layer, effectively avoiding over-fitting of the network. We use a sparse structure that conforms to the Hebbain principle to reduce the parameters and improve the generalization ability of the network, which can extract the features of the image more accurately. Meanwhile, the network also reduces the parameters of the full connection layer by 20 times through the continuous two-layer pooling layer, which greatly speeds up the network training. Finally, the network is trained using the GTSRB data set and the classification accuracy rate can reach 98%. At the same time, we also verified the validity of the network on the MNIST dataset and the pneumonia dataset. The classification accuracy rate can reach 100% on the above two datasets. Experimental results on the above data sets show the validity of the convolutional neural network.
随着汽车工业的快速发展,对自动驾驶的需求越来越迫切,自动驾驶中的交通标志识别技术是一项不可或缺的技术。本文提出了一种基于GoogLeNet的交通标志卷积神经网络。该卷积神经网络改进了每个底层Inception模块,并添加了批处理归一化层,有效地避免了网络的过拟合。我们使用符合Hebbain原理的稀疏结构来减少参数,提高网络的泛化能力,可以更准确地提取图像的特征。同时,网络还通过连续的两层池化层,将全连接层的参数减少了20倍,大大加快了网络的训练速度。最后,利用GTSRB数据集对网络进行训练,分类正确率达到98%。同时,我们还在MNIST数据集和肺炎数据集上验证了网络的有效性。在以上两个数据集上,分类准确率可以达到100%。在上述数据集上的实验结果表明了卷积神经网络的有效性。
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引用次数: 3
Measurement of air attenuation and recombination correction factors in synchrotron radiation X-rays 同步辐射x射线中空气衰减和复合校正因子的测量
Pub Date : 2019-11-01 DOI: 10.1109/ICEMI46757.2019.9101519
Guo Siming, Wan PeiWei, Wang Ji, Wu Jinjie, Zhang Jian
Absolute measurement of high fluence rate X-ray dose was required in thermonuclear fusion research and plasma diagnostic measurement. An ionization chamber used for the reproducibility of air-kerma in high fluence rate X-rays was designed, and the monoenergetic X-rays of (6-20) keV were absolutely measured on Beijing Synchrotron Radiation Facility. The air attenuation and recombination correction factors of the free-air ionization chamber were obtained experimentally. Thus, the air-kerma for the $(6 sim 20)$ keV monoenergetic X-rays can be determined.
在热核聚变研究和等离子体诊断测量中,需要高通量率x射线剂量的绝对测量。设计了一种在高通量x射线下可再现空气-kerma的电离室,并在北京同步辐射装置上对(6-20)keV单能x射线进行了绝对测量。实验得到了自由空气电离室的空气衰减系数和复合校正系数。因此,可以确定$(6 sim 20)$ keV单能x射线的空气-kerma。
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引用次数: 0
期刊
2019 14th IEEE International Conference on Electronic Measurement & Instruments (ICEMI)
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