Applications in LabVIEW

Applications in LabVIEW pdf epub mobi txt 电子书 下载 2026

出版者:Prentice Hall
作者:Leonard Sokoloff
出品人:
页数:0
译者:
出版时间:2003-12-24
价格:USD 78.20
装帧:Paperback
isbn号码:9780130161949
丛书系列:
图书标签:
  • LabVIEW
  • 数据采集
  • 仪器控制
  • 自动化测试
  • 虚拟仪器
  • 图形化编程
  • 工程应用
  • NI
  • 软件开发
  • 实验系统
想要找书就要到 小美书屋
立刻按 ctrl+D收藏本页
你会得到大惊喜!!

具体描述

High-performance computation and display capabilities offered by personal computers (PCs) have dramatically changed the field of instrumentation. Modern instruments use a PC and a graphical software unit with a variety of interfaces to communicate with and to control the hardware. These instruments use the computer's extensive processing power to offer a very high level of performance. Over the years, graphical programming language has gained ground as a programming tool. Although it has not displaced traditional programming such as C or C++, it offers an environment that is fast and easy to use. In applying the language, users do not have to remember the code; they simply manipulate the objects on the computer's screen. LabVIEW ; , a product of National Instruments Corporation, uses graphical language in creating a program called a virtual instrument (VI). Virtual instruments can acquire and process data, display results on a graph, control another instrument and/or an external system, and perform simulation and many other tasks. Because VI is a software file, it can be easily reconfigured to meet the requirements of a new specification. The ability to alter the functionality of an instrument is an advantage that was never before available to the user. In the past, the vendor or the manufacturer controlled the instrument's functionality. ORGANIZATION OF THE TEXT A wide range of data acquisition, analysis, and simulation experiments using LabVIEW software have been designed and included in this book. In order to better understand LabVIEW, the user is often required to modify the existing software in order to achieve a specific measurement, as in the case of the position control servo where the user is required to design the settling time measurement software. Chapter 1 introduces the reader to some of the basic tools and operating features of LabVIEW, including loops arrays and graphs. Data acquisition, data processing, and GPIB instrument control are introduced. Chapter 2 presents the five structures in LabVIEW: sequence, cases that can be configured as numeric or Boolean, for and the while loops, and the formula node. Most structures, except formula node and sequence, have their counterpart in C language. The sequence structure is not required in C language because all commands are executed in the order that they are written. Execution in LabVIEW VI, however, is based on the flow of data. An object in the block diagram executes only if data is available at all inputs. The formula node gives the designer an option of either wiring objects or writing formulas inside the node. Exercises in this chapter illustrate practical application of the structures. Chapter 3 introduces the user to one-dimensional and two-dimensional arrays that are created inside the for loop or while loop. It also includes array functions in LabVIEW, which are essential in processing array-based data. Chapter 4 presents applications where the raw or processed data must be displayed. The chart, waveform, and X-Y graphs are used throughout the text. Each graph has a specific input requirement. For example, the waveform graph requires an array input for the X-axis, while the X-Y graph requires arrays for the X-axis and the Y-axis. Strings offer the most versatile format because they can represent any character on the keyboard. Typically a string is an array of ASCCI characters, with each character is assigned an ASCCI code. A character is a number, an alphabetical character, or any other character on the keyboard. Strings are used to communicate information over a network. TCP/IP protocol uses strings. GPIB uses strings in communicating with remote instruments. LabVIEW includes string palettes in its analysis library providing string controls, indicators, and string functions for building VIs. Experiments in Chapter 5 introduce the application of various string functions. The data generated by VI can be saved to a file, which can later be opened, appended, or modified. In LabVIEW special rules and procedures must be followed to save data to a file. These rules include creating a new file or reading from and writing to an existing file. Chapter 6 illustrates this process. Mathematical analysis software is given special attention in Chapter 7. Fourier analysis software plots the square wave that corresponds to any number of Fourier terms. The Fourier spectrum is generated and displayed for a pulse train with adjustable duty cycle. Although it may take a few seconds, the software can sum and display as many as one million terms, a task that would have been unthinkable in the not too distant past. Chapter 8 introduces basic electronic communication concepts and LabVIEW simulation exercises. Amplitude modulation and frequency modulation are covered extensively. DSBFC, DSBSC, and SSB are discussed in detail. Theoretical concepts are supported by the simulation software. Transmission line concepts in microwaves are presented using a software design project. Extensive background material is provided to refresh the reader's comprehension.: Chapter 9 introduces the fundamentals of data acquisition. When an analog signal is brought inside the LabVIEW environment via the A/D converter, it must first be digitized or converted to an array of samples. An interface called the data acquisition board (DAQ board) is required to acquire data. LabVIEW supports the data acquisition process with the Data Acquisition subpalette in the Functions floating palette. The VIs used in data acquisition fall into one of three categories: Easy, Intermediate, and Advanced. Easy VIs have the highest software overhead but are easiest to use; Advanced VIs have the lowest software overhead but in order to use them, the designer must be very familiar with LabVIEW. Chapter 10 introduces the data acquisition process through very simple experiments. Real data is acquired and displayed, stored to a spreadsheet, or otherwise processed. Acquire Waveforms VIs, which reduce software overhead, are used. They employ buffered and hardware timed types of data acquisition. A broad area of physics is explored in Chapters 11 to 13 with numerous experiments that support and illustrate various theoretical principles. Uncommon experiments include the diffraction pattern measurement in optics and thermodynamic experiments, including the Seebeck and Peltier effects. Classical concepts in optics and the inverse square law are investigated in Chapter13 using commercial equipment and LabVIEW. Chapters 14 and 15 present an extensive theoretical and experimental coverage of motors and generators, AC and DC. For example, the motor generator assembly used in Chapter 14 is open so that the armature and other details are easily seen. Motion control experiments in Chapter 15 illustrate the speed control of a DC motor. Of special interest is the control system presented in Chapter 16. A commercial trainer is used to demonstrate the characteristics of speed control and position control servos. Velocity feedback to control system damping is explored in a separate experiment. Ramp waveform generated in LabVIEW drives the position control servo in order to measure the steady state error. TCP/IP is a protocol that is supported by virtually all operating systems, including LabVIEW. Chapter 17 explains and uses the server-client model to communicate data over a local area network such as the Ethernet. The chapter also illustrates how a client can operate a VI at a remote server location. CGI, HTTP servers, and the use of hyperlinks and HTML are also covered as they play an important role in communication and control over the Internet. Chapter 18 covers the GPIB instrument control. GPIB commands sent to a remote instrument with GPIB capability can control its operation. In a typical setup, the GPIB interface on the controlling station is connected by the GPIB cable to the GPIB connectors on the remote instruments. Experiments in this chapter involve controlling the operation of a power supply, multimeter, and the function generator; the GPIB control of oscilloscope; the Bode Plotter; and the Spectrum Analyzer.

《深入探索:LabVIEW 应用实践与创新指南》 本书并非直接呈现《Applications in LabVIEW》这本书籍的目录或具体章节内容。相反,它旨在为读者提供一个关于如何在实际应用场景中灵活运用LabVIEW强大的图形化编程能力,并开拓其创新潜能的宏观视角和实践思路。本书的核心在于引导读者超越简单的功能实现,深入理解LabVIEW在不同领域的应用逻辑,并启发其针对特定问题进行高效、创新的解决方案设计。 第一部分:LabVIEW 核心能力在多元领域的应用基础 我们将从LabVIEW最基础但也是最核心的能力入手,逐一剖析其在不同应用场景下的基础落地。 数据采集与测量自动化: 精密仪器接口与控制: 详细阐述如何利用LabVIEW与各类传感器、测量仪器(如示波器、万用表、信号发生器、DAQ设备等)进行高效对接。重点讲解驱动程序的选择与开发、VISA、NI-DAQmx等通信协议的应用、数据流的组织与同步。 实时数据处理与显示: 探讨LabVIEW如何在采集数据的同时,进行实时的算术运算、滤波、信号分析(FFT、功率谱密度等)以及趋势分析。重点介绍波形图、散点图、表格等多种可视化控件的应用,以及如何实现动态更新和用户友好的数据呈现。 自动化测试序列设计: 讲解如何构建完整的自动化测试流程,包括测试步骤的定义、参数配置、结果判定、报告生成等。深入分析状态机、事件结构等程序结构在实现复杂测试逻辑中的优势。 工业自动化与过程控制: PLC/PAC 集成与监控: 介绍LabVIEW与各种工业控制器(如Siemens S7, Allen-Bradley ControlLogix, Mitsubishi FX等)的通信方式,包括OPC UA、Modbus TCP/IP等工业标准。重点在于如何通过LabVIEW构建 SCADA(Supervisory Control And Data Acquisition)系统,实现对生产过程的实时监控、参数调整和报警管理。 PID 控制算法实现与优化: 详细解析PID控制算法在LabVIEW中的实现细节,包括离散化、参数整定方法(如Ziegler-Nichols法)的应用,以及如何通过仿真和实际应用调整,实现精确、稳定的过程控制。 运动控制与机械臂集成: 探讨LabVIEW在集成伺服电机、步进电机等运动控制设备中的应用。重点讲解如何利用NI的运动控制硬件和软件模块,实现多轴联动、路径规划、速度/位置控制等复杂功能。 嵌入式系统开发(NI CompactRIO / sbRIO): 硬件在环(HIL)仿真: 讲解LabVIEW如何作为核心开发平台,构建用于测试和验证嵌入式系统的硬件在环仿真环境。重点在于模型集成、实时代码生成以及与物理硬件的交互。 实时操作系统(RTOS)应用: 深入分析LabVIEW Real-Time模块的应用,如何开发具有高可靠性和实时性的嵌入式应用程序,包括任务调度、同步机制、优先级管理等。 FPGA 编程入门: 介绍LabVIEW FPGA模块,如何利用其图形化环境进行FPGA硬件逻辑的设计与开发,实现高并行度、低延迟的数据处理和控制。 第二部分:LabVIEW 高级应用与创新实践 在掌握了基础应用后,本部分将引导读者深入挖掘LabVIEW的潜力和可能性,探索更高级的应用模式和创新思路。 信号处理与图像/视觉分析: 高级信号处理技术: 深入探讨LabVIEW在谱分析、滤波器设计(FIR、IIR)、小波分析、降噪、特征提取等方面的应用。介绍Vision Development Module(视觉开发模块)在图像采集、预处理、特征提取、模式识别、测量和质量检测等方面的强大功能。 机器视觉系统集成: 讲解如何利用LabVIEW和NI视觉硬件,构建完整的机器视觉检测系统,涵盖光源选择、相机选型、图像校正、目标定位、尺寸测量、缺陷检测等关键环节。 AI/ML 在视觉分析中的融合: 探讨如何将LabVIEW与机器学习、深度学习框架(如TensorFlow, PyTorch)进行集成,实现更智能的图像识别、分类、对象检测和预测任务。 科学研究与实验设计: 高通量实验平台搭建: 讲解LabVIEW如何用于自动化设计和执行复杂科学实验,例如高通量筛选、材料表征、生物医学实验等。重点在于如何通过LabVIEW集成多个仪器,实现实验流程的自动化和数据的连续采集。 数据分析与可视化高级技巧: 深入介绍LabVIEW在统计分析、建模仿真、多维数据可视化(如3D图表、仪表板)方面的应用。探讨如何利用数据挖掘和模式识别技术,从海量实验数据中提取有价值的信息。 科研仪器二次开发与定制: 介绍如何利用LabVIEW为现有科研仪器开发定制化的控制软件或数据分析工具,以满足特定的研究需求,提升实验效率和数据质量。 系统集成与软件工程实践: LabVIEW 与其他语言/平台集成: 详细讲解如何通过DLL调用、ActiveX、TCP/IP、.NET Framework等方式,将LabVIEW与C/C++、Python、MATLAB等语言,以及其他软件平台进行互操作,构建更强大的混合系统。 面向对象编程(OOP)在 LabVIEW 中的应用: 介绍LabVIEW的面向对象特性,如何通过类、对象、继承、多态等概念,构建更具模块化、可重用性和可维护性的复杂应用程序。 软件架构设计与性能优化: 探讨在设计大型LabVIEW项目时,如何应用良好的软件工程原则,例如模块化设计、分层架构、事件驱动编程、多线程并发等,以提高程序的健壮性、可扩展性和运行效率。 版本控制与团队协作: 介绍在LabVIEW项目开发中,如何利用版本控制工具(如Git)进行代码管理和团队协作,确保项目的顺利进行。 本书旨在帮助读者: 建立扎实的LabVIEW应用基础: 深入理解LabVIEW在不同应用场景下的核心功能和实现原理。 提升实际问题解决能力: 掌握利用LabVIEW设计和实现复杂自动化系统、测试系统和测量系统的技巧。 激发创新思维: 探索LabVIEW在新兴技术领域的应用潜力,并鼓励读者开发创新的解决方案。 培养良好的软件工程习惯: 学习如何构建高效率、高可靠性、易于维护的LabVIEW应用程序。 本书并非一本简单的“工具手册”,而是期望成为读者在LabVIEW应用探索旅程中的“思想伙伴”和“实践向导”。通过对广泛应用场景的深入剖析和对创新实践的积极引导,本书将帮助您充分释放LabVIEW的强大潜能,在您的专业领域取得突破性的进展。

作者简介

目录信息

读后感

评分

评分

评分

评分

评分

用户评价

评分

**第五段评价** 如果让我用一个词来形容《Applications in LabVIEW》,那便是“全面且深入的工程指南”。它涵盖的领域非常广,从基础的VI编程规范,到复杂的分布式系统架构,几乎没有遗漏。我特别欣赏它对“项目管理与版本控制”所给予的篇幅。在现代软件工程实践中,测试软件的版本管理往往是一大难题,这本书清晰地阐述了如何利用Source Control(如Git)来管理LabVIEW项目文件、库和包,并提供了最佳实践来确保团队协作的顺畅和代码的稳定性。它甚至探讨了如何构建和部署可执行文件(EXE)和安装包,考虑到了目标机器上驱动程序和运行环境的依赖性问题,这在项目交付阶段至关重要。这本书不仅对技术细节的把握精准,更对整个软件生命周期的管理提供了成熟的工业级视角,让读者不仅成为一个熟练的LabVIEW程序员,更成为了一个懂得如何维护和交付专业工程软件的开发者。

评分

**第四段评价** 我通常对技术类书籍的阅读速度较慢,因为需要反复对照代码和说明,但《Applications in LabVIEW》在讲解高级信号处理和分析时,展示出了一种近乎艺术的清晰度。它对傅里叶变换、数字滤波设计(FIR/IIR)在LabVIEW图形化环境下的实现做了详尽的剖析,特别是如何选择合适的采样率和窗口函数来避免频谱泄露,这在许多基础教程中是被严重简化了的。这本书没有回避那些数学上较为复杂的概念,而是通过巧妙的图形化连接和参数设置,将抽象的理论具象化,使得即便是对数学不太敏感的硬件工程师也能理解其背后的物理意义。更值得称赞的是,书中对如何利用LabVIEW进行系统辨识和模型预测控制(MPC)的基础流程进行了介绍,这为我拓展研究方向打开了一扇新的大门。它成功地将高阶的控制理论知识,通过LabVIEW这个强大的工具平台进行了有效的工程落地,使得理论不再是纸上谈兵,而是可以直接在硬件上运行和验证的实际方案。

评分

**第一段评价** 这本书《Applications in LabVIEW》简直是为我这种刚入门的工程师量身定做的,内容组织得极其清晰,仿佛作者在手把手地教我如何搭建一个复杂的测试系统。我印象最深的是它对数据采集模块的讲解,那种由浅入深,将理论与实际应用结合得天衣无缝的处理方式,让我这个曾经对NI DAQ硬件感到头疼的人,现在能够自信地配置各种信号输入和输出。书中不仅展示了如何拖拽VI来实现基本功能,更深入地剖析了LabVIEW中面向对象编程的思想在大型项目中的应用,比如如何有效地管理状态机和事件结构,这极大地提高了我的代码可维护性。此外,它对仪器驱动程序开发和VISA/GPIB通信协议的介绍也十分详尽,让我不再惧怕与那些老旧但可靠的传统仪器进行数据交互。这本书的价值在于它提供的不是孤立的功能说明,而是一整套解决实际工程问题的思维框架,尤其是在优化程序性能和资源管理方面,提供了许多独到的见解和技巧,让人读完后感觉功力大增,能够立即应用到工作中去应对那些棘手的实时控制任务。

评分

**第二段评价** 说实话,我原本以为这本书会是那种枯燥的技术手册集合,堆满了函数描述和界面截图,但《Applications in LabVIEW》完全超出了我的预期。它更像是一本“工程实践宝典”,重点放在了那些在官方文档中一笔带过,但在实际工业现场却至关重要的细节上。比如,它对实时(RT)和FPGA编程的对比分析,简直是神来之笔。作者没有停留在简单的“如何编译”的层面,而是深入探讨了确定性、延迟和资源冲突在嵌入式系统设计中的权衡艺术。我特别欣赏其中关于用户界面(UI/UX)设计的章节,它强调了如何设计出既美观又高效、符合操作员使用习惯的控制面板,而不是仅仅堆砌一堆指示灯和按钮。这种对“人机交互”的重视,在很多技术书籍中是缺失的。读完这本书,我不仅提升了LabVIEW本身的编程技能,更重要的是,我对构建一个健壮、可扩展的自动化测试平台有了全新的认识,特别是关于如何利用LabVIEW的模块化特性来管理跨部门协作的大型项目,这部分内容对我目前负责的项目管理工作非常有启发。

评分

**第三段评价** 这本《Applications in LabVIEW》的叙事风格非常新颖,与其说它是一本教材,不如说它是一位资深行业专家在分享他多年摸爬滚打的心得体会。它极少使用那种高高在上的学术语言,而是充满了对工程实践中常见“陷阱”的警示和规避方法。比如,关于内存泄漏和死锁的分析,书中列举了大量的反面案例,并清晰地展示了如何利用性能分析工具来定位并根除这些“隐形杀手”,而不是仅仅依靠猜想来调试。对于那些涉及复杂算法实现的朋友来说,书中关于如何将C/C++或Python代码无缝集成到LabVIEW环境中的介绍,简直是及时雨,它详细介绍了调用库函数(DLL/Shared Library)的最佳实践,保证了性能的同时兼顾了LabVIEW的友好性。此外,对于数据存储和报告生成模块的讨论也极为深入,它不只是教你如何保存数据,而是引导你思考“如何高效地、符合标准地”归档测试结果,以便后续的追溯和审计。这本书的价值在于其批判性和实践性,它教会你如何思考,而不是简单地教你如何操作。

评分

评分

评分

评分

评分

本站所有内容均为互联网搜索引擎提供的公开搜索信息,本站不存储任何数据与内容,任何内容与数据均与本站无关,如有需要请联系相关搜索引擎包括但不限于百度google,bing,sogou

© 2026 book.quotespace.org All Rights Reserved. 小美书屋 版权所有