LabVIEW Data Acquisition (2nd Edition)

Name: LabVIEW Data Acquisition (2nd Edition)
ISBN: 9787121471025

唐赣Publishing House of Electronics Industry · ChinaFeb 2024

3.6

Word count: 120K words
Chapters: 66
ISBN: 9787121471025

Report an error Find this book

Summary

This book uses LabVIEW as its subject, organizing content around the LabVIEW programming environment, methods for processing data through programming, and techniques for improving programming, with detailed introductions to commonly used LabVIEW programming methods, programming techniques, and application examples. The book has 11 chapters: Chapters 1–6 introduce basic LabVIEW programming knowledge, including an overview of LabVIEW, the LabVIEW programming environment, fundamentals of LabVIEW data processing, advanced LabVIEW data processing, LabVIEW program design, and fundamentals of NI data acquisition; Chapters 7–11 present hands-on practice in sensor data acquisition using LabVIEW with NI. The book is rich in content, clearly organized, and highly practical, fully explaining programming techniques so that readers can quickly master LabVIEW program design methods.

Editor's review

This book is organized around the LabVIEW programming environment, data processing methods, and programming techniques. The first six chapters build the foundation, covering the programming environment, basic and advanced data processing, program design, and fundamentals of NI data acquisition; the latter five chapters turn to hands-on practice in sensor data acquisition using NI hardware, forming a complete path from programming basics to practical acquisition. The arrangement emphasizes clarity and practicality, integrating commonly used programming methods and techniques into example-based explanations so readers can learn while practicing. In content organization, the second edition continues its practical orientation and suits readers who need to quickly get started with LabVIEW program design for data acquisition. It can serve as a reference for laboratory and course work in measurement and control, automation, and electronic information programs, and is also suitable for self-study by laboratory technicians and engineers. Readers are advised to operate LabVIEW software and NI acquisition devices alongside the text, first mastering the programming environment and data processing before moving on to sensor acquisition practice.

Who it's for

A good fit for

Students in measurement and control, automation, and electronic information programs who need a LabVIEW laboratory and course reference
Laboratory technicians who want to use LabVIEW for sensor data acquisition tasks
Engineering and technical personnel who need to quickly master LabVIEW programming methods and techniques
Self-study readers with basic programming concepts who want to combine NI hardware with acquisition practice

Not a good fit for

Pure theory readers with no programming concepts who are unwilling to practice hands-on
Experienced developers seeking in-depth study of advanced LabVIEW architectures and large project development
Readers who do not use NI hardware and only want general-purpose programming language development

Reading tips

Reproduce the examples in the LabVIEW environment while reading, becoming familiar with the programming environment before processing data
After finishing advanced data processing, review the commonly used techniques to form your own programming habits
Prepare NI devices before entering the acquisition practice chapters and complete each chapter's tasks one by one
Compare the acquisition examples in Chapters 7–11 with earlier programming knowledge to check your mastery

About the publisher

Publishing House of Electronics Industry China · Founded in 1982

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.

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工具包及其工具网络
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
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 使用进阶编程结构
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 测量数字信号
6.5 信号调理
6.6 数据采集设备分类
6.7 NI MAX与DAQmx
6.8 DAQmx数据采集
6.9 TLA-004传感器课程实验套件
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测量液位
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 使用热释电红外传感器探测人的行为
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

Can I still use this book without NI data acquisition hardware?

Yes. The first six chapters mainly cover the LabVIEW programming environment, data processing, and program design, and can be practiced without actual hardware. The sensor data acquisition practice in the latter five chapters requires NI devices; without hardware, you can first understand the acquisition workflow and programming approach, then verify hands-on when conditions allow.

Can I study this book directly with zero programming background?

The book starts from the LabVIEW programming environment and is fairly friendly to beginners, but basic concepts of program logic, such as loops, conditional judgment, and data processing thinking, are still recommended. If you have absolutely no background, first spend time becoming familiar with the programming environment and basic controls before moving on to the data processing and program design chapters.

What are the main changes in the second edition compared with the first edition?

According to the available information, the second edition continues the organization centered on the programming environment, data processing methods, and programming techniques, with 11 chapters: the first six cover basic programming knowledge, and the latter five cover hands-on sensor data acquisition with NI. Specific revision details are explained in the book; readers can compare the table of contents to understand the content organization.

Comments

Find this book

This site is an index: you start “Search all sources” in your browser, and the entries it lists all point to third-party sites; please judge their availability yourself.

About the author

唐赣 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.