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2017 13th IEEE International Conference on Electronic Measurement & Instruments (ICEMI)最新文献

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Measurement method of magnetic field spatial distribution based on plane measuring ring 基于平面测量环的磁场空间分布测量方法
Rongbao Chen, Duan Zemin, Zhibao Li, Liu Yang, Xiaoliang Si, Shanliang Qiu, Runtian Li
In this paper, it is presented that a spatial magnetic field measurement system for space magnetic field single dimension measurement and multi plane magnetic field synthesis. The system consists of a cylindrical electromagnetic field, a spatial device, a plane measuring ring, and a measuring circuit set. The cylindrical electromagnetic field spatial device is a hollow cylindrical structure. A plane measuring ring is arranged on the inner wall of the cylinder along the vertical cylinder wall, and the measuring ring can move up and down along the inner wall. A measuring rod with a ruler is arranged in the direction of the diameter of the measuring ring, and the measuring rod can rotate around the center of the measuring ring. A measuring circuit group is provided at intervals between the measuring rods. Used to obtain three one-dimensional magnetic field data in each direction of each measurement point covered by the measuring ring and then three dimensional magnetic field data are obtained. The measured data are analyzed, processed, and synthesized to form a magnetic field in which the measuring ring is located. The horizontal position of the measuring ring is adjusted, and the magnetic field of different planes is obtained. Finally, the distribution of the magnetic field is obtained. This method lays a solid foundation for further study of the spatial constant magnetic field and the fast pulsating magnetic field distribution.
本文提出了一种空间磁场测量系统,用于空间磁场单维度测量和多平面磁场综合。该系统由圆柱形电磁场、空间装置、平面测量环和测量电路组组成。圆柱形电磁场空间装置为空心圆柱形结构。所述气缸内壁上沿垂直气缸壁设置有平面测量环,所述测量环可沿内壁上下移动。在测量环的直径方向上设置有带尺子的测量杆,测量杆可绕测量环的中心旋转。在测量棒之间的间隔处设有测量电路组。用于获取测量环所覆盖的每个测点在每个方向上的三个一维磁场数据,然后获得三维磁场数据。对测量数据进行分析、处理和合成,形成测量环所在的磁场。调整测量环的水平位置,得到不同平面的磁场。最后,得到了磁场的分布。该方法为进一步研究空间恒磁场和快速脉动磁场分布奠定了坚实的基础。
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引用次数: 0
Design and verification of a novel IoT node protocol 一种新型物联网节点协议的设计与验证
Zhongchao Wang, L. Hou, Baojun Tong, Wang Wen-si, Jinhui Wang
The IoT node works mostly in a specific scenario, and executes the fixed program. In order to make it suitable for more scenarios, this paper introduces a kind of the IoT node, which can change program at any time. And this node has intelligent and dynamic reconfigurable features. Then, a transport protocol is proposed. It enables this node to work in different scenarios and perform corresponding program. Finally, we use Verilog to design and FPGA to verify. The result shows that this protocol is feasible. It also offers a novel way of the IoT.
物联网节点主要在特定场景中工作,并执行固定的程序。为了使其适用于更多的场景,本文介绍了一种可以随时改变程序的物联网节点。该节点具有智能和动态可重构的特点。然后,提出了一种传输协议。它使该节点能够在不同的场景下工作并执行相应的程序。最后,利用Verilog进行设计,并用FPGA进行验证。结果表明,该方案是可行的。它还提供了一种新的物联网方式。
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引用次数: 2
A relay-triggered cooperative spectrum sensing in cognitive radio networks 认知无线电网络中一种中继触发的协同频谱感知
Hu Lin, Zhao Yijiu, Wang Houjun
A relay-triggered cooperative spectrum sensing scheme is proposed in this paper to detect the spectrum opportunities for cognitive radio (CR) networks. Firstly, we design a relay-triggered individual spectrum sensing scheme. Specifically, we exploit a relay signal generated by a cognitive transmitter (CT) who has relaying capability and acts as a full-duplex amplitude-and-forward relay to trigger the primary link's close-loop power control (CLPC) which has been frequently used in practical wireless communication application, resulting in primary transmitter adjusts its transmit power under CLPC, the CR receiver observes the energy of the primary signal and decides whether the primary receivers (PRs) are within or out of CT's coverage. Then, considering the fact that local spectrum sensing may be not reliable due to the fading and shadowing effects, we further develop the proposed individual spectrum sensing scheme to a new collaborative one where multiple CRs are involved in sensing and the common receiver combines the decisions received from cooperative CRs to get a final decision which will improve the sensing performance. Finally, the performances of the proposed schemes are illustrated by simulations.
针对认知无线电(CR)网络的频谱机会检测问题,提出了一种中继触发的协同频谱感知方案。首先,我们设计了一种继电器触发的单频谱传感方案。具体而言,我们利用具有中继能力的认知发射机(CT)产生的中继信号,作为全双工幅度转发中继,触发在实际无线通信应用中经常使用的主链路闭环功率控制(CLPC),使主发射机在CLPC下调整其发射功率。CR接收器观察主信号的能量,并决定主接收器(pr)是否在CT的覆盖范围内。然后,考虑到局部频谱感知可能由于衰落和阴影影响而不可靠,我们进一步将所提出的单个频谱感知方案发展为一种新的协同频谱感知方案,其中多个cr参与感知,公共接收器将从合作cr接收到的决策合并得到最终决策,从而提高感知性能。最后,通过仿真验证了所提方案的性能。
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引用次数: 1
Radial simulation research of gas-solid two phase annular flow with ultrasonic fluid measurement 超声流体测量气固两相环空流动径向模拟研究
Zhang Yaoyao, Wang Yueming, Liu Meng, Lu Shuwei, Geng Pengcheng
As for its application and universality, the research of gas-solid two-phase flow becomes popular, and annular flow is one of the common flow. By COMSOL software, radial simulation models are set up to study the different annular flow. It is simulated with different parameter annular flow and different frequency of ultrasonic, to research the sensitivity in diverse gas-solid flow. And also, the signals received by the ultrasonic sensor in different annular flow and frequency are analyzed. Thus, it offers theory analysis for diverse gas-solid two phase flow in the ultrasonic method.
气固两相流的研究因其适用性和通用性而受到重视,其中环空流是常见的两相流之一。利用COMSOL软件建立径向模拟模型,研究不同环空流动。采用不同参数的环空流动和不同频率的超声进行了仿真,研究了超声在不同气固流动中的灵敏度。分析了超声传感器在不同环流量和频率下接收到的信号。从而为超声法中不同气固两相流动提供了理论分析。
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引用次数: 0
Research on mathematical model of electrode boiler based on neural network 基于神经网络的电极锅炉数学模型研究
Xia Zhi, Wang Chunling, Qiang Shuo, Ma Jin
Aiming at the difficulty of controlling the peaking control of the electrode boilers in the “Three North” area (northeast, northwest and north) in China, the power supply of the electrode boiler with BP neural network and Bayesian regularized neural network is put forward Switch active power and main steam temperature modeling prediction method. Based on a 20MW electrode boiler in a power plant in northeast China firstly, the input function of the network was determined by the correlation function method. Then, the BP neural network and the Bayesian neural network were used to establish the electrod boiler model. Finally, the model prediction results were obtained. The results show that the error of Bayesian neural network is smaller than that of BP neural network, and it is more suitable for the peak-load control of electrode type boiler.
针对中国“三北”地区(东北、西北、北方)电极锅炉调峰控制的难点,提出了基于BP神经网络和贝叶斯正则化神经网络的电极锅炉供电开关有功功率和主汽温建模预测方法。首先以东北某电厂20MW电极锅炉为例,采用关联函数法确定网络输入函数。然后,利用BP神经网络和贝叶斯神经网络建立了电锅炉模型。最后,得到了模型的预测结果。结果表明,贝叶斯神经网络的误差小于BP神经网络,更适合于电极式锅炉的峰值负荷控制。
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引用次数: 1
Short-term load forecasting for electric vehicle charging stations based on time series distance measuring 基于时间序列距离测量的电动汽车充电站短期负荷预测
Shi Xin, Q. Lei, Tian Li, Li Miaozhu, Yi Lizheng
To improve the efficiency and the precision of short-term load forecasting of the electric vehicle charging stations, this paper proposed a new algorithm for short — term load forecasting for electric vehicle charging stations based on time series distance measuring. Applying the editing distance to load the load sequence into the load segment and the time segment respectively to measure, so as to measure the distance between the load sequences accurately, And simplify the complexity of model which can improve the efficiency of prediction. Based on the actual historical load data of electric vehicle charging stations, the simulation analysis is given to verify that the proposed method has high prediction efficiency and accuracy.
为了提高电动汽车充电站短期负荷预测的效率和精度,提出了一种基于时间序列距离测量的电动汽车充电站短期负荷预测新算法。利用编辑距离将负荷序列分别加载到负荷段和时间段进行测量,从而准确地测量出负荷序列之间的距离,简化了模型的复杂度,提高了预测效率。基于电动汽车充电站的实际历史负荷数据,进行仿真分析,验证了所提方法具有较高的预测效率和准确性。
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引用次数: 3
An improved TLD target tracking algorithm based on Mean Shift 一种基于Mean Shift的改进TLD目标跟踪算法
Zhang Song, Zhu Cong, Z. Yanan, Du Yuren
Aiming at the problem that the traditional TLD algorithm is not accurate when the target encounters occlusion, a TLD algorithm based on Mean Shift is proposed. When the confidence level of the TLD tracking box is high, the center position of target of the TLD output is used as the starting point of the Mean Shift tracking algorithm. When the confidence level is low, the center position of the target box in the previous frame is used as the iterative starting point for the Mean Shift. The results show that the improved algorithm achieves higher precision, especially for occlusion and target jitter. In order to solve the problem that there are more useless points in the feature points obtained by uniform sampling of TLD algorithm, a more robust Susan corner point is introduced into the TLD tracking module. This algorithm can track the object through the pyramid LK optical flow after selecting the corner. It not only preserves feature points with rich information during the tracking process, but also suppresses the tracking drift caused by more useless points. The results show that this method has high robustness and real — time compared with the original TLD algorithm.
针对传统TLD算法在目标遭遇遮挡时精度不高的问题,提出了一种基于Mean Shift的TLD算法。当TLD跟踪框置信度较高时,以TLD输出目标的中心位置作为Mean Shift跟踪算法的起始点。当置信水平较低时,使用前一帧中目标框的中心位置作为Mean Shift的迭代起点。结果表明,改进后的算法具有较高的精度,特别是在遮挡和目标抖动情况下。为了解决TLD算法均匀采样得到的特征点中无用点较多的问题,在TLD跟踪模块中引入了更鲁棒的Susan角点。该算法在选定角点后,通过金字塔LK光流对目标进行跟踪。它既保留了跟踪过程中信息丰富的特征点,又抑制了无用点过多引起的跟踪漂移。结果表明,与原TLD算法相比,该方法具有较高的鲁棒性和实时性。
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引用次数: 6
Wavelet analysis-application of PCA-SVM in state identification method of marine centrifugal pump 小波分析- PCA-SVM在船用离心泵状态识别方法中的应用
Xu Youlin, Xiong Ling, Yao Zhigang, Guo Jingjia
This paper proposes a state identification method of centrifugal pump based on algorithms of wavelet transform, principal component analysis (PCA), and support vector machine (SVM), and provides concrete steps of the fault diagnosis model establishment of marine centrifugal pump using the method. The analysis object is the pressure pulsation signal at the exit of the centrifugal pump, and the characteristic set is constructed by the wavelet packet algorithm. The test data of the centrifugal pump in the normal state is regarded as the sample data. After PCA, the dimension of the feature set is reduced, and the feature extraction model is established. Finally, the state identification and fault diagnosis of the marine centrifugal pump are realized by applying SVM. In the practical application, the method improves the limitation of the traditional state intelligent identification method and the difficulty of setting the threshold, and its validity has been verified in the experiment.
提出了一种基于小波变换、主成分分析(PCA)和支持向量机(SVM)算法的离心泵状态识别方法,并给出了利用该方法建立船用离心泵故障诊断模型的具体步骤。分析对象为离心泵出口压力脉动信号,采用小波包算法构建特征集。离心泵在正常状态下的试验数据作为样本数据。经过主成分分析后,对特征集进行降维,建立特征提取模型。最后,利用支持向量机实现了船用离心泵的状态识别和故障诊断。在实际应用中,该方法改善了传统状态智能识别方法的局限性和设置阈值的难度,并在实验中验证了其有效性。
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引用次数: 1
RFID data fusion algorithm based on spatio-temporal semantics in internet of things 物联网中基于时空语义的RFID数据融合算法
Yuan Lingyun, Han Lijing, Zhou Manman, Zhu Mingli
Information sensing and processing of Internet of things (IoT) is the most basic function, which is of special significance to the spatio-temporal characteristics. Used spatio-temporal correlation of RFID data, based on the perception data semantic representation, an IoT RFID data fusion processing algorithm based on spatio-temporal semantics has been proposed. Firstly, the data of the same time, different space position is used for spatial fusion processing, then the data of the same equipment, different time is used for time fusion processing in the order of time. The experiment results indicate that our algorithm can effectively remove redundancy data, reduce the amount of data and relieve the waste of system resource. And the proposed method has a certain feasibility and validity.
信息感知与处理是物联网最基本的功能,对物联网的时空特征有着特殊的意义。利用RFID数据的时空相关性,在感知数据语义表示的基础上,提出了一种基于时空语义的IoT RFID数据融合处理算法。首先将同一时间、不同空间位置的数据进行空间融合处理,然后将同一设备、不同时间的数据按时间顺序进行时间融合处理。实验结果表明,该算法能够有效地去除冗余数据,减少数据量,减轻系统资源的浪费。该方法具有一定的可行性和有效性。
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引用次数: 2
Analysis of exhaustive service and gated service improved polling system based on Anylogic 穷尽服务和门控服务的分析改进了基于Anylogic的轮询系统
Xiong Lei, Guan Zheng, He Min, W. Shijie
This paper presents a exhaustive-gated mixed service polling model which provides a better fairness and small delay in the scene of data brust. In the presented model, the serve selects exhaustive service(ES) and gated service(GS) with probability. GS can consider fairness of the system, while ES can solve the problem of data brust. Given the fact that traditional numerical analysis do bad in analyzing this model accurately. The simulation model is established in Anylogic. The experimental results indicate that the system performance in mean queue size(MQS), mean latency time (MLT) and thruput are improved when comparing with the classical polling model.
本文提出了一种穷举门控混合服务轮询模型,该模型在数据突发场景下具有更好的公平性和较小的延迟。在该模型中,服务端以概率选择穷举服务和门控服务。GS可以考虑系统的公平性,而ES可以解决数据突发的问题。传统的数值分析方法不能准确地分析该模型。在Anylogic中建立了仿真模型。实验结果表明,与传统的轮询模型相比,该模型在平均队列大小(MQS)、平均延迟时间(MLT)和吞吐量方面的性能都得到了提高。
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引用次数: 0
期刊
2017 13th IEEE International Conference on Electronic Measurement & Instruments (ICEMI)
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