Intelligent Equipment and Systems is an interdisciplinary emerging major, which combines the knowledge of mechanical engineering, electronic engineering, computer science, control theory and other disciplines, and focuses on the design, development and application of intelligent equipment. The postgraduate entrance examination direction of this major usually includes the following aspects:
1.Intelligent equipment design:
Professional description: It involves the mechanical structure design, functional planning, human-computer interaction design and so on of intelligent equipment.
Professional requirements: have a good foundation in mechanical design, be familiar with the working principle of intelligent equipment, and have certain innovative design capabilities.
Suitable for people: students who are interested in mechanical design and innovation, and are willing to engage in intelligent equipment design.
2.Intelligent control system:
Professional description: study the control strategy, algorithm design, system integration, etc. of intelligent equipment.
Professional requirements: master the basic knowledge of control theory, be able to design control algorithms and analyze systems.
Suitable for: Students who are interested in control systems and control algorithms, and are willing to engage in the research and development of intelligent control systems.
3.Embedded Systems:
Professional description: Involved in embedded hardware design, embedded software programming, system optimization, etc.
Professional requirements: familiar with the hardware and software design of embedded systems, with certain programming and debugging capabilities.
Suitable for: Students who are interested in embedded system design and programming and are willing to work in related fields.
4.Machine Vision & Image Processing:
Professional description: Research on visual system design, image processing algorithm, visual perception, etc. in intelligent equipment.
Professional requirements: master the basic theory of image processing and machine vision, and be able to design and implement vision systems.
Suitable for: Students who are interested in image processing and machine vision, and are willing to engage in research in related fields.
5.Smart Sensors & Detection Technology:
Professional description: Research sensor design, signal processing, data acquisition, etc. in intelligent equipment.
Professional requirements: understand the working principle of the sensor, be familiar with signal processing technology, and have the ability of data acquisition and analysis.
Suitable for: Students who are interested in sensor technology and data acquisition and are willing to work in related fields.
6.Robotics:
Professional description: involves the design, control, programming, application of robots, etc.
Professional requirements: master robot kinematics, dynamics, control theory, and have the ability of robot programming and application.
Suitable for: Students who are interested in robotics and willing to engage in robot design and application development.
7.Intelligent Decision-making and Optimization Algorithms:
Professional description: Research on decision support systems, optimization algorithms, adaptive control, etc. in intelligent equipment.
Professional requirements: familiar with intelligent decision-making theory and optimization algorithms, able to model and analyze complex systems.
Suitable for: Students who are interested in intelligent decision-making and optimization algorithms, and are willing to engage in research in related fields.
8.Internet of Things and Big Data Technology:
Professional description: Research on the data collection, processing, analysis and application of intelligent equipment in the Internet of Things environment.
Professional requirements: understand the architecture of the Internet of Things, be familiar with big data processing technology, and have the ability to analyze data and apply.
Suitable for: Students who are interested in the Internet of Things and big data technology and are willing to work in related fields.
The postgraduate entrance examination direction of intelligent equipment and systems usually requires students to have strong engineering practice ability, innovation ability and teamwork spirit. Students need to have certain programming skills, system design skills, and a basic understanding of intelligent technology. The target group includes students who are interested in intelligent equipment and systems, as well as professionals who are willing to engage in the research and development, design, application and management of intelligent technology. With the development of smart manufacturing and automation technology, graduates of this major have great prospects in the job market.