信息检索与利用上机作业.doc

题目：7基于虚拟仪器的汇流条控制器自动测试技术研究一.分析课题要求：1.文献出版类型（3种以上）：期刊、学位论文、会议论文、报告2.学科范围：自动控制3.时间范围：2000-至今 二撰写课题检索策略式，包含检索词、检索字段、逻辑算符、位置算符、截词算符。1.中文检索式：虚拟仪器 AND（汇流条AND控制器OR汇流条控制器）AND自动测试2.外文检索式： (Virtual() Instrument)*( Bus bar + Bus power)* controller?*( automatic test?)三选择检索工具，并记录每种检索工具的检索调整过程。（例如先选用什么词、做了何种设置，检索结果的准确度和数量；后来换了什么词、改变了什么设置、检索结果的准确度和数量有何变化；直到获得较为满意的检索结果。）1.中文期刊类检索工具（1种）：在CNKI的中国学术期刊网络出版库中上利用检索词“虚拟仪器”、“汇流条控制”、“自动测试”搜索得到文献108篇，最后精确搜索“虚拟仪器 自动测试 汇流条 控制系统 汇流条控制器”，得到结果51条，较为满意。最后锁定“基于虚拟仪器的控制器自动测试系统”。2.中文图书类检索工具（1种）：在超星数字图书馆找到最相关的一本书：虚拟仪器应用设计3.中文学位论文类数据库（1种）：在CNKI上利用“虚拟仪器”、“汇流条控制”、“自动测试”搜索得到“基于虚拟仪器的控制器自动测试系统”4.外文三大检索工具（1种）：在Web of science 上输入“(Virtual() Instrument)*( Bus bar + Bus power)* controller?*( automatic test?)”得到V-L decomposition of a novel full-waveform lidar system based on virtual instrument technique5.搜索引擎（1种）：利用百度搜索在设置中添加“虚拟仪器、汇流条控制器”，得到“基于虚拟仪器的飞机电源系统自动测试技术研究”。 四保存检索结果1.从每种检索工具中选择一条最相关的记录，保存题目、作者、出处和摘要信息。（1）中文期刊类检索工具CNKI：【题目】基于虚拟仪器的控制器自动测试系统”【作者】夏梦芝、何银菊、李波【摘要】构建了一种以LabVIEW为软件开发平台,以公司数据采集卡作为基础硬件的自动测试系统,实现对控制器输入输出端口电气性能的自动测试。文中简要介绍了现代测试技术的发展及虚拟仪器技术的概念,详细叙述了系统总体方案设计及软件实现,并以实例验证了系统的高精度性能指标,该系统具有高度开放性、自动化和实用性的特点。 （2）中文图书类检索工具【题目】虚拟仪器应用设计【作者】陈栋，崔秀华【图书简介】本书是高职高专IT类专业主干课程教材。本书首先介绍虚拟仪器测试系统，然后通过虚拟容积测量仪器的设计、虚拟信号发生器的设计、越限报警的程序设计、虚拟仪器的波形显示设计、虚拟仪器数据存储设计、数据采集和仪器控制等模块来介绍图形化编程语言LabVIEW的基本原理和虚拟仪器编程技术，最后介绍几个具体设计实例，更好地帮助学生运用虚拟仪器技术。（3）中文期刊类检索工具【题目】基于虚拟仪器的控制器自动测试系统”【作者】夏梦芝、何银菊、李波【摘要】构建了一种以LabVIEW为软件开发平台,以公司数据采集卡作为基础硬件的自动测试系统,实现对控制器输入输出端口电气性能的自动测试。文中简要介绍了现代测试技术的发展及虚拟仪器技术的概念,详细叙述了系统总体方案设计及软件实现,并以实例验证了系统的高精度性能指标,该系统具有高度开放性、自动化和实用性的特点。 （4）外文三大检索工具（1种）：【题目】V-L decomposition of a novel full-waveform lidar system based on virtual instrument technique【作者】Xu Fan; Wang Yuan-Qing 【摘要】A novel three-dimensional (3D) imaging lidar system which is based on a virtual instrument technique is introduced in this paper. The main characteristics of the system include: the capability of modeling a 3D object in accordance with the actual one by connecting to a geographic information system (GIS), and building the scene for the lidar experiment including the simulation environment. The simulation environment consists of four parts: laser pulse, atmospheric transport, target interaction, and receiving unit. Besides, the system provides an interface for the on-site experiment. In order to process the full waveform, we adopt the combination of pulse accumulation and wavelet denoising for signal enhancement. We also propose an optimized algorithm for data decomposition: the V-L decomposition method, which combines Vondrak smoothing and laser-template based fitting. Compared with conventional Gaussian decomposition, the new method brings an improvement in both precision and resolution of data decomposition. After applying V-L decomposition to the lidar system, we present the 3D reconstructed model to demonstrate the decomposition method. （5）搜索引擎【题目】基于虚拟仪器的飞机电源系统自动测试控制技术研究【作者】 张保冰；【摘要】 某型号发电机控制器与汇流条功率控制器是新近研制的产品。它们是飞机供电系统中的重要部件,为了保证质量,在出厂前必须对其进行严格的测试。传统的测试方法不能满足高速度、高精度、多功能、多参数的测试要求,所以开发一套针对二者的自动测试系统势在必行。 虚拟仪器是计算机技术与仪器技术相结合的产物,本文主要对基于虚拟仪器组建自动测试系统的方法进行了研究。 首先,简要介绍了组建自动测试系统所需要的硬件平台。采用程控电源模拟发电机,通过控制程控电源和开关网络产生施加于发电机控制器和汇流条功率控制器上的信号。数据采集卡采集程控电源的输出以实现对程控电源的闭环控制,采集发电机控制器和汇流条功率控制器的保护信号以计算延时时间。其次,研究了自动测试系统中信号分析与处理的数学方法,并对一些方法进行了比较;研究了程控电源的闭环控制,对比分析了利用数据采集卡实现数据采集的方法。最后,本文利用 LabVIEW 研究了自动生成测试报告、实现测试网络化的方法。 本文的创新点在于实现了对程控电源的闭环控制,对比分析了基于 LabVIEW实现对非 NI 数据采集卡驱动的方法,研究了各项参数指标的测试方法,提出了实现复杂报告自动. 更多还原2.中文期刊类检索工具，通过选择记录批量下载的功能，保存引文格式的3-5条记录信息。1夏梦芝,何银菊,李波. 基于虚拟仪器的控制器自动测试系统J. 仪表技术与传感器,2011,12:58-60+63.2王民钢,李仪,郭访社,龚宇迪. 基于虚拟仪器技术的嵌入式计算机自动测试系统J. 仪表技术与传感器,2008,11:56-58.3许珩,黄欹昌,李文新,翟浩. 基于虚拟仪器技术和USB构架的自动测试系统实现J. 自动化与仪器仪表,2004,06:34-35+38+46.3.中文期刊类检索工具，列出刊登该种文献最多的年份、学科、作者、机构和期刊信息。年份：2006年（759）学科：自动化技术作者：谢启（17）、陈运珍（17）机构：西北工业大学（177）期刊信息：仪表技术与传感器 , Instrument Technique and Sensor, 2011年12期五针对三4中的检索结果，选择一篇文献查找其全文，复制保存检索结果页面的题录信息和一段正文文字。1.判断该文献出版类型：期刊2.发现系统中的检索结果：【Title】: VL decomposition of a novel full-waveform lidar system based on virtual instrument technique. 【Authors】: Xu Fan1,2Wang Yuan-Qing2,3 Source: Chinese Physics B. Oct2015, Vol. 24 Issue 10, p1-1. 1p. 【Document Type】: Article Subject Terms: LIDAU (Optics)LASER based sensorsGEOGRAPHIC information systemsGAUSSIAN processesSTOCHASTIC processes【 Abstract】: A novel three-dimensional (3D) imaging lidar system which is based on a virtual instrument technique is introduced in this paper. The main characteristics of the system include: the capability of modeling a 3D object in accordance with the actual one by connecting to a geographic information system (GIS), and building the scene for the lidar experiment including the simulation environment. The simulation environment consists of four parts: laser pulse, atmospheric transport, target interaction, and receiving unit. Besides, the system provides an interface for the on-site experiment. In order to process the full waveform, we adopt the combination of pulse accumulation and wavelet denoising for signal enhancement. We also propose an optimized algorithm for data decomposition: the VL decomposition method, which combines Vondrak smoothing and laser-template based fitting. Compared with conventional Gaussian decomposition, the new method brings an improvement in both precision and resolution of data decomposition. After applying VL decomposition to the lidar system, we present the 3D reconstructed model to demonstrate the decomposition method. ABSTRACT FROM AUTHOR (Copyright applies to all Abstracts.)3.搜索引擎检索结果：V-L decomposition of a novel full-waveform lidar system based on virtual instrument technique Xu Fan, Wang Yuan-Qing School of Electronic Science and Engineering, Nanjing University, Nanjing 210046, China【Abstract】 A novel three-dimensional (3D) imaging lidar system which is based on a virtual instrument technique is introduced in this paper. The main characteristics of the system include: the capability of modeling a 3D object in accordance with the actual one by connecting to a geographic information system (GIS), and building the scene for the lidar experiment including the simulation environment. The simulation environment consists of four parts: laser pulse, atmospheric transport, target interaction, and receiving unit. Besides, the system provides an interface for the on-site experiment. In order to process the full waveform, we adopt the combination of pulse accumulation and wavelet denoising for signal enhancement. We also propose an optimized algorithm for data decomposition: the V-L decomposition method, which combines Vondrak smoothing and laser-template based fitting. Compared with conventional Gaussian decomposition, the new method brings an improvement in both precision and resolution of data decomposition. After applying V-L decomposition to the lidar system, we present the 3D reconstructed model to demonstrate the decomposition method. 【Key words】： lidar system virtual instrument Vondrak smoothing laser-template based fitting 【Received:】 12 March 2015 4.全文数据库检索结果：无命中记录5.图书馆OPAC系统查询结果：在明故宫外文阅览室(刊)(三楼)有纸质版，可以找到全文。6.正文中的一段文字：As mentioned before, the whole laser radar system is developed based on the virtual instrument, which consists of five main parts: 3D modeling, simulation environment modeling of the system, data acquisition system & upper monitor, full-waveform data processing, and 3D reconstruction. The overall structure is shown in Fig. 2. In the 3D scene modeling module, we aim at developing and utilizing the interface to 3D models, which makes the platform capable of loading 3D model files of different types, such as 3D terrain, 3D vegetation, and other surface features, and finally at building a 3D scene for laser radar trial. Simulation environment modeling of the system finishes the mathematical modeling of the environment in accordance with on-site trial, like the laser pulse model, atmospheric transport model, target interaction model, receiver model, etc. The pulse beams transmit in the environment, and eventually form a full-waveform with a certain signal-to-noise ratio (SNR). On the other hand, the full-waveform acquired from the on-site trial will be collected by the data acquisition system and then uploaded into the upper monitor on the computer side. The full-waveform data processing module is to complete the processing for a digital full-waveform (simulated or on-site), and then to deco