The main directions of industrial intelligence are as follows:
1.Machine Learning vs. Artificial Intelligence:
Study the theories, algorithms, and applications of machine learning and artificial intelligence in industrial settings.
The topics involved include deep learning, reinforcement learning, support vector machines, neural networks, decision trees, random forests and other algorithm design and optimization.
2.Automation Control & Optimization:
Research on the design, optimization and application of automation control systems in industrial production processes.
The contents involved include control system theory, automated production process, robot control, adaptive control, intelligent optimization algorithm, etc.
3.Data Science & Industrial Big Data Analytics:
Research on the collection, processing, analysis, and mining techniques of industrial big data, and how to leverage data-driven decision support systems.
The content involved includes data preprocessing, data mining, knowledge discovery, models, data analysis software and tools, etc.
4.Computer Vision & Image Processing:
Research on methods for acquiring, processing, understanding, and analyzing images and **, as well as their applications in industrial inspection, monitoring, and quality control.
The content involved includes image feature extraction, object recognition, pattern recognition, machine vision, 3D reconstruction, etc.
5.Intelligent Manufacturing & Industrial Engineering:
Research the theory, technology, and application of intelligent manufacturing systems, including flexible manufacturing, lean manufacturing, digital twins, Internet of Things (IoT), etc.
The content involved includes production line design, production scheduling, chain management, quality control, equipment maintenance, etc.
6.Natural Language Processing and Human-Computer Interaction:
Research on the application of technologies such as natural language understanding and generation, speech recognition and synthesis, and dialogue systems in industrial intelligence.
The content involved includes text mining, sentiment analysis, information retrieval, virtual assistants, intelligent customer service, etc.
7.Industrial Cyber Security & Information Security:
Research on the security protection, risk assessment, security strategy and emergency response measures of industrial control systems and industrial Internet.
The contents involved include network attack and defense, encryption technology, identity authentication, access control, security audit, etc.
Each institution may focus on its own characteristics and faculty, so when choosing a postgraduate direction, it is recommended that candidates consider it comprehensively according to their own interests, career plans, and the specific courses and research strength of the target institution. At the same time, practical experience, internship opportunities and industry development trends are also factors that need to be considered when choosing the direction of industrial intelligence postgraduate examination.