LabVIEW Data Acquisition
Tags
Summary
Editor's review
Who it's for
A good fit for
- Engineers working in automation, test and measurement
- Students in higher education studying virtual instrumentation or measurement and control technology
- Researchers who need to use LabVIEW for data acquisition system development
- LabVIEW beginners who wish to move from theory to practice
Not a good fit for
- General readers with only a superficial interest in graphical programming and no hardware background
- Non-technical readers seeking a quick, zero-foundation operation guide
Reading tips
- Readers are advised to first acquire basic LabVIEW programming knowledge, then focus on the chapters related to data acquisition
- Do hands-on exercises using the book's examples to understand the connection between hardware configuration and software programming
- The book can be used as a reference, with specific chapters consulted for particular problems during project development
About the publisher
The Publishing House of Electronics Industry is a comprehensive publisher distinguished by its focus on electronic information and related fields. Judging from the more than 3,000 titles in its catalogue, its publishing covers programming and design, artificial intelligence, computer science, finance and economics, photography, and social sciences, attending both to cutting-edge technology and to general readers. Representative titles include Factor Investing: Methods and Practice, x86 Assembly Language: From Real Mode to Protected Mode, The RISC-V Reader, Artificial Intelligence: Speech Recognition, Understanding and Practice, Phased Array Radar Technology, Radar Target Characteristics, and 100 Go Mistakes and How to Avoid Them, most of which centre on technical methods and engineering practice. Its authors include Shi Chuan, Li Zhong, Wang Xiaobo, David Patterson, Andrew Waterman, and Yu Zihao, among others from China and abroad. Owing to limited public information, no further publishing features are elaborated here.
Contents
- 版权信息
- 内容简介
- 前言
- 第1章 LabVIEW 概述
- 1.1 什么是 LabVIEW
- 1.2 如何获得 LabVIEW
- 1.3 安装、启动 LabVIEW
- 1.4 什么是 NI MAX
- 1.5 LabVIEW 系统分类及其工具网络
- 1.6 如何用 LabVIEW 解决实际问题
- 第2章 LabVIEW编程环境
- 2.1 初识LabVIEW
- 2.2 编程准备知识
- 第3章 LabVIEW数据处理基础
- 3.1 数据操作
- 3.2 数组与簇
- 3.3 编程结构
- 3.4 图形与图表
- 第4章 LabVIEW数据处理进阶
- 4.1 函数的多态性
- 4.2 比较函数
- 4.3 公式与方程
- 4.4 文件I/O
- 4.5 处理变体数据
- 第5章 LabVIEW程序设计
- 5.1 程序框图的数据流
- 5.2 程序框图设计提示
- 5.3 Express VI
- 5.4 属性节点
- 5.5 自定义控件
- 5.6 创建VI和子VI
- 5.7 运行和调试VI
- 5.8 使用项目和终端
- 5.9 使用进阶程序结构
- 第6章 NI数据采集基础
- 6.1 基于计算机的数据采集系统
- 6.2 测量信号的类型
- 6.3 测量模拟信号
- 6.4 数字信号测量
- 6.5 信号调理
- 6.6 数据采集设备(卡)分类
- 6.7 NI MAX与DAQmx
- 6.8 DAQmx数据采集
- 第7章 直流电动机的转速数据采集
- 7.1 使用槽型光耦测量直流电动机转速
- 7.2 使用霍尔IC测量直流电动机转速
- 第8章 温度传感器测量任务
- 8.1 使用集成温度传感器测量温度
- 8.2 使用热电偶测量温度
- 8.3 使用NTC热敏电阻温度传感器测量温度
- 8.4 使用铂电阻温度传感器测量温度
- 第9章 液体特征参数测量任务
- 9.1 使用光电式液位传感器进行液位测量
- 9.2 使用光电式液体浊度传感器测量液体浊度
- 9.3 使用pH计传感器测量溶液pH值
- 9.4 使用超声波传感器测量液面高度(距离)
- 第10章 安防用途相关传感器测量任务
- 10.1 使用热释电红外线传感器测量入侵状态
- 10.2 使用湿敏传感器测量环境湿度
- 10.3 使用驻极体传声器采集、测量语音信号
- 10.4 使用气敏传感器测量环境酒精泄漏
- 第11章 加速度传感器测量任务
- 11.1 使用压电式加速度传感器测量振动信号
- 11.2 使用MEMS 3轴加速度传感器测量倾角
- 参考文献
FAQ
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About the author
Tang Gan is an author about whom limited public information is available; details such as background, nationality, and dates of birth and death are not recorded in our database and remain to be verified. Judging from the works collected so far, Tang Gan's writing focuses on data acquisition using LabVIEW, a graphical programming platform, and includes LabVIEW Data Acquisition and its second edition, with two titles held in the collection. Books of this kind are oriented toward engineering practice and teaching applications, typically covering hardware interfaces, signal processing, program design, and practical cases for data acquisition, serving learners and technicians in fields such as automated testing and instrument control. The works are categorized under both programming design and examination, indicating that the content is suited to both hands-on technical use and exam preparation. The release of a second edition also suggests sustained reader demand for the first, allowing the author to revise and improve the material.