书名：智能检测仪表技术
定价：45.0
ISBN：9787301363287
作者：杨成慧,李玉梅 主编
版次：1
出版时间：2026-08

内容提要：

智能仪表是生产过程自动化，特别是连续生产过程自动化系统中必不可少的专用仪器仪表，包括对工艺参数进行测量的检测仪表、根据测量值对给定值的偏差按一定的调节规律发出调节命令的调节仪表及根据调节仪表的命令对进出生产装置的物料或能量进行控制的执行器等。本书的主要内容包括智能仪表技术概述、传统仪表与智能仪表、智能控制算法、智能传感器原理与检测技术、互联网+仪表检测技术、工业4.0+检测技术、大数据+智能检测技术、虚拟仪器。每章均配有导入案例和思考与练习，帮助学生加深理解和巩固所学知识。
本书可以作为自动化、测试计量技术及仪器等专业的本科生或研究生教材，也可以作为从事仪表检测与控制工作的科技人员的参考书。

作者简介：
杨成慧，北民族大学电气工程学院的教授。主要讲授智能仪表、MATLAB语言、MATLAB语言与控制系统仿真等课程；研究方向主要集中在?工业自动化、大数据分析及物联网中间件平台开发?等；主编教材3部，参编教材3部，出版专著2部。
李玉梅，任职于西北民族大学。研究方向：智能电网、智能仪表、电气信息检测。主要承担高电压技术、电工学及实验、电路分析等课程的教学工作。发表学术论文十余篇，参编教材2部，主持完成校级教研项目两项，指导学生获奖十余次。

目录：
第1 章 智能仪表技术概述 ·························· 1
1.1 智能仪表及其发展概述 ··················· 4
1.1.1 智能仪表的发展历程 ············ 4
1.1.2 智能仪表的优势和特点 ········· 5
1.1.3 智能仪表技术及其应用的发展方向 ··························· 7
1.2 电动单元组合仪表 ························· 7
1.3 智能仪表控制系统 ······················· 10
1.3.1 检测仪表控制系统的结构分析 ······························· 10
1.3.2 典型的智能仪表控制系统案例 ······························· 11
1.4 变送器 ······································ 13
1.5 智能仪表的基本技术指标 ·············· 14
1.6 智能仪表的发展趋势 ···················· 19
1.7 智能检测技术 ····························· 20
本章小结 ········································· 21
思考与练习 ······································ 21
第2 章 传统仪表与智能仪表 ····················· 22
2.1 传统仪表概述 ····························· 24
2.2 智能仪表概述 ····························· 27
2.3 传统仪表与智能仪表的比较 ··········· 28
本章小结 ········································· 28
思考与练习 ······································ 29
第3 章 智能仪表的控制方法 ····················· 30
3.1 模糊控制 ··································· 32
3.1.1 知识库 ···························· 32
3.1.2 模糊推理 ························· 32
3.2 人工神经网络 ····························· 33
3.2.1 人工神经网络概述 ············· 33
3.2.2 人工神经网络的应用 ·········· 34
3.2.3 人工神经网络的研究现状和发展方向 ······················· 36
3.3 专家系统 ··································· 38
3.3.1 专家系统的定义 ················· 38
3.3.2 专家系统的原理 ················· 38
3.3.3 专家系统的分类 ················· 39
3.3.4 专家系统的一般特点 ··········· 40
3.3.5 专家系统的基本结构 ··········· 41
3.3.6 专家系统的应用 ················· 43
本章小结 ·········································· 44
思考与练习 ······································· 44
第4 章 智能传感器原理与检测技术 ············· 45
4.1 常规传感器与智能传感器 ·············· 48
4.2 智能传感器的实现途径与系统构成 ····························· 50
4.2.1 智能传感器的实现途径 ········ 50
4.2.2 智能传感器的系统构成 ········ 52
4.3 数据采集系统 ····························· 53
4.3.1 数据采集系统的类型 ··········· 53
4.3.2 数据采集系统的组成 ··········· 56
4.3.3 数字信号处理器 ················· 60
4.3.4 信号输出通道 ···················· 64
4.4 智能传感器的总线技术 ················· 65
4.4.1 USB 总线 ························· 65
4.4.2 I2C 总线 ··························· 67
4.4.3 SPI 总线 ··························· 69
4.4.4 过程现场总线 ···················· 70
4.5 智能传感器的抗干扰技术 ·············· 77
4.5.1 干扰的成因 ······················· 77
4.5.2 电路抗干扰措施 ················· 77
4.5.3 数字滤波器抗干扰 ·············· 79
本章小结 ·········································· 82
思考与练习 ······································· 82
第5 章 互联网+仪表检测技术 ··················· 83
5.1 工业互联网 ································ 86
5.1.1 工业互联网概述 ················ 86
5.1.2 工业互联网的网络结构 ······· 87
5.1.3 工业互联网的发展趋势 ······· 87
5.2 现场总线技术在智能仪表中的
应用 ········································· 89
5.2.1 现场总线的体系结构 ·········· 89
5.2.2 现场总线的通信标准 ·········· 90
5.2.3 典型现场总线 ··················· 90
5.2.4 现场总线智能仪表 ············· 92
5.2.5 现场总线技术的发展趋势 ···· 92
5.3 蓝牙技术在智能仪表中的应用 ········ 94
5.3.1 蓝牙技术概述 ··················· 94
5.3.2 蓝牙芯片组及其实用
连接技术 ························· 97
5.3.3 蓝牙技术应用于智能仪表 ···· 98
5.4 基于互联网的嵌入式仪表设计 ········ 99
5.4.1 硬件要求 ························· 99
5.4.2 软件设计 ························· 99
5.4.3 互联网优化仪表检测
技术 ······························ 100
本章小结 ········································ 100
思考与练习 ····································· 101
第6 章 工业4.0+检测技术 ······················ 102
6.1 工业4.0 概述 ···························· 103
6.1.1 工业4.0 与人工智能 ·········· 103
6.1.2 工业4.0 与仪表检测技术 ···· 104
6.2 深度学习介绍 ···························· 105
6.2.1 深度学习的概念 ··············· 105
6.2.2 深度学习的优势 ··············· 105
6.2.3 深度学习模型的训练 ········· 106
6.2.4 深度学习的模型介绍 ········· 107
6.3 深度学习与智能检测技术的实际
应用案例 ·································· 112
本章小结 ········································ 116
思考与练习 ····································· 116
第7 章 大数据+智能检测技术 ·················· 117
7.1 大数据简介 ······························ 119
7.1.1 大数据产生的背景 ············ 119
7.1.2 大数据和大数据时代 ········· 121
7.2 大数据面临的问题 ····················· 124
7.2.1 数据获取 ························ 124
7.2.2 数据存储和管理 ··············· 124
7.2.3 信息检索 ························ 125
7.2.4 数据挖掘 ························ 126
7.3 大数据分析技术 ························ 127
7.3.1 Hadoop ·························· 127
7.3.2 Spark ····························· 129
7.3.3 NoSQL ··························· 131
7.4 工业大数据 ······························ 132
7.4.1 工业大数据概述 ··············· 132
7.4.2 大数据对工业网络信息的安全防护 ························ 135
7.4.3 大数据与智能检测技术的
融合 ······························ 137
本章小结 ········································ 141
思考与练习 ····································· 141
第8 章 虚拟仪器 ··································· 143
8.1 虚拟仪器概述 ··························· 146
8.1.1 虚拟仪器的定义 ··············· 146
8.1.2 虚拟仪器与传统仪器的比较 ······························ 147
8.1.3 虚拟仪器的分类 ··············· 148
8.1.4 虚拟仪器系统与SCADA系统 ······························ 150
8.1.5 虚拟仪器技术的发展历程与展望 ··························· 151
8.2 虚拟仪器系统的结构 ·················· 153
8.2.1 虚拟仪器系统的硬件结构 ···· 153
8.2.2 虚拟仪器系统的软件结构 ···· 154
8.2.3 虚拟仪器设备的互换性和互操作性 ························ 157
8.3 虚拟仪器系统的软件开发 ············ 161
8.3.1 LabWindows/CVI 开发基础与操作 ····················· 162
8.3.2 LabVIEW 开发基础与操作 ······························ 168
8.4 虚拟仪器系统的应用 ··················· 174
8.4.1 虚拟仪器系统的设计 ········· 174
8.4.2 虚拟仪器系统开发应用
实例——基于LabVIEW 的虚拟信号发生器 ··············· 176
本章小结 ········································ 177
思考与练习 ····································· 178
参考文献 ············································· 179