Automation
The field of automation is a comprehensive engineering discipline centered on control theory, electronic technology, computer technology, and information technology, integrating knowledge from mechanical engineering, electrical engineering, and other disciplines. It is dedicated to the research of automatic control system design, intelligent equipment development, and industrial process optimization, making it a highly practical technical discipline. As a cornerstone profession in the era of Industry 4.0, automation technology is not only prevalent in emerging fields such as intelligent manufacturing, robotics, and the Internet of Things but also serves as a key technological support for achieving intelligent and efficient production processes.
In the context of deep integration of digitalization and intelligence, professionals in automation are becoming the core force driving industrial transformation. With the rapid development of technologies such as artificial intelligence, 5G communication, and the industrial Internet, the automation profession will play a crucial role in strategic fields such as intelligent transportation, new energy, and aerospace, providing solid technical support and talent for building a modern industrial system that is self-controllable.
Book Recommendations
“Sensor Array Direction Finding and Positioning”
Authors: Zhang Xiaofei, Li Jianfeng, Xu Dazhuan
Publisher: Electronics Industry Press
Publication Date: February 2025
Sensor array direction finding and positioning is an important branch in the field of positioning. Compared to traditional single-direction sensors, sensor array target positioning offers higher signal gain, strong interference suppression capabilities, and greater spatial resolution, thus having broad application prospects in national defense and industrial fields. Specifically, it has been applied in various sectors such as radar, sonar, communication, seismic exploration, radio astronomy, and medical diagnostics.
“Information-Enhanced Graph Neural Network
Learning Method Research”
Author: Wang Jie
Publisher: Electronics Industry Press
Publication Date: February 2025
This book deeply analyzes the two core challenges faced in the field of graph neural networks: model degradation with increased depth and excessive reliance on supervisory information. To address these challenges, the book proposes a series of solutions covering model structure design, training strategy optimization, and more.
“Data Asset Management in the Era of Web 3.0”
Editors: Chen Xiaohua, Zou Zhiguang
Publisher: Electronics Industry Press
Publication Date: January 2025
In the era of Web 3.0, data assets have become the core element driving the development of the digital economy. This book, based on cutting-edge technologies such as blockchain and smart contracts, systematically elaborates on innovative paradigms for data rights confirmation, value assessment, and market operation in a decentralized environment. This book serves as both a practical guide for enterprises undergoing digital transformation and a theoretical framework for researchers in building data factor markets in the era of Web 3.0, holding significant academic value and practical guidance in the context of current reforms in the market-oriented allocation of data factors.
“Integrated Operation and Debugging of Virtual and Real Automation Production Lines – S7-1200 Series PLC”
Authors: Sun Yingying, Chen Zequn
Publisher: China Water Power Press
Publication Date: December 2023
This book is primarily based on the Yalong YL-335B automation production line comprehensive training platform (Siemens S7-1200 series PLC) and covers mechanical technology, PLC control technology, touch screen technology, sensor detection technology, pneumatic technology, variable frequency drive technology, and more.
“Teaching Cases of Biomedical Sensing and Detection”
Authors: Hou Wensheng, Hu Ning, Wu Xiaoying
Publisher: Chongqing University Press
Publication Date: June 2023
This book summarizes and analyzes the applications of biomedical sensing and detection technology in biomechanics, bioelectricity, and biochemical characteristics, selecting valuable medical health application scenarios and physiological processes, and biological feature detection objects, forming three case modules: “Physiological Parameter Sensing Detection Device and System Design”, “Physiological Signal Detection and Feature Parameter Analysis Modeling”, and “Physiological Parameter Online Detection and Process Control System”.
“Industrial Robot Operation and Programming”
Authors: Hu Chunlong, Lv Dongteng
Publisher: Northwest University Press
Publication Date: January 2023
This book consists of five modules, each containing several projects, providing a detailed introduction to the use and operation of ABB industrial robots. The main content includes an overview of industrial robots, basic operations of industrial robots, setting up industrial robot coordinate systems, programming control of industrial robots, setting system parameters for robots, and program management.
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