What is the major in intelligent equipment technology?
Students who majored in intelligent manufacturing equipment technology needed to learn knowledge and skills in many aspects. In terms of professional foundation courses, it included mechanical drawing and computer drawing, mechanical design foundation, electrical engineering and electronic technology, tolerance coordination and measurement technology, three-dimensional digital modeling, mechanical assembly technology, hydraulic and hydraulic transmission, motor and electrical control technology, etc. In terms of professional core courses, there were programming and operation of numerical control machine tools, operation and maintenance of industrial robots, programming control technology and application, installation and adjustment of intelligent manufacturing equipment, connection and adjustment of numerical control system, fault diagnosis and maintenance of intelligent equipment, integrated application of intelligent manufacturing unit, etc. In addition, he would also carry out practical training in and out of the school based on real professional scenarios or work situations, such as electrical control and programming control technology, computer aided design and manufacturing, industrial robot operation and operation and maintenance, intelligent manufacturing virtual simulation, intelligent manufacturing equipment installation and adjustment, intelligent manufacturing unit integration and application, etc. He would also carry out post internships in general equipment manufacturing enterprises, special equipment manufacturing enterprises, electrical machinery and equipment manufacturing enterprises, etc. Through these courses and practical training, the aim was to cultivate high-quality technical and technical talents who could engage in the installation and adjustment of intelligent manufacturing equipment, maintenance and repair, optimization and upgrading, integration and transformation, and standard implementation. " A Short History of the Future: Legends of the Intelligent Era " was equally exciting. Everyone was welcome to click and read it!
Intelligent manufacturing equipment technology
Intelligent manufacturing equipment technology was a specialty in China's ordinary colleges and universities. It belonged to the category of mechanical and electrical equipment, and the length of study was generally three years. This major is dedicated to cultivating all-round development of high-quality compound technical skills talents. Students are required to have a certain level of education, good professional ethics and humanities, master the knowledge of intelligent equipment machinery, electrical assembly and maintenance, and have professional skills in intelligent equipment assembly and maintenance. In terms of employment positions, graduates can be engaged in installation, maintenance and technical transformation in intelligent equipment manufacturing and other industries, such as equipment optimization and upgrading, intelligent manufacturing unit integration and application, intelligent manufacturing standard implementation and other positions; It can also be used for advanced intelligent manufacturing equipment industry, engaged in intelligent numerical control machine tool programming operation and adjustment, industrial robot programming and adjustment, digital manufacturing technology, intelligent detection, intelligent equipment sales and after-sales technical service, intelligent production line management and other positions; He could also be engaged in the installation, adjustment, operation, maintenance, repair and testing of the hydraulic equipment and production lines in the machinery, textile, electronics, food, metals, light industry and other industries. He could also be engaged in the application technology development, technology introduction, technical transformation and other fields of automatic production equipment, as well as the management of workshop teams and other grassroots departments, and the marketing and technical service of hydraulic equipment products. In terms of professional studies, the courses covered electrical engineering and electronic technology, computer control, material transmission technology, sensor and detection technology, programmed controller, frequency conversion foundation and application, automatic production line technology, automatic production line management and maintenance, etc. There were also practical links such as metalworking practice, electrical practice, hydraulic and hydraulic training, mechanical and electrical transmission and training, frequency changer speed regulation training, Plc training, automatic production line assembly training, graduation practice (design), etc. There were also the main courses and practical links of each school, such as mechanical drawing and ADC modeling, mechanical manufacturing foundation, mechanical design foundation, electronic technology foundation, automatic control principle, computer principle and interface technology, single-chip computer technology and C language programming, sensor and detection technology application, electrical control and Plc, industrial robot fault diagnosis, robot automatic line installation and maintenance, etc. The main technologies in intelligent manufacturing equipment included the Internet of Things, big data, cloud manufacturing, artificial intelligence and machine learning, digital twins, and so on. The Internet of Things was a network that extended and expanded on the basis of the Internet. The three levels of its system architecture were the perception layer, the network layer, and the application layer. Its key technologies included radio frequency identification (MRI) technology, sensing technology, intelligent technology, nanotechnology, and so on. The main function of sensor technology was to collect and process information from the physical world, while the main function of smart technology was to complete the "speaking" function of objects. "A Short History of the Future: Legends of the Intelligent Era" was equally exciting. Everyone was welcome to click and read it!
Intelligent manufacturing equipment technology professional employment direction
The employment direction of the intelligent manufacturing equipment technology major was mainly for the intelligent equipment design, assembly, manufacturing, and technological transformation industries. It can be engaged in intelligent equipment machinery, electrical assembly, maintenance, upgrading and transformation, including mechanical engineering technicians, metal processing machinery manufacturing personnel and other occupations, involving intelligent manufacturing equipment operation, fault diagnosis and maintenance, equipment optimization and upgrading, intelligent manufacturing unit integration application, intelligent manufacturing standard implementation and other positions (groups). You can also do internship in general equipment manufacturing enterprises, special equipment manufacturing enterprises, electrical machinery and equipment manufacturing enterprises, etc., and engage in work such as installation and testing, maintenance, optimization and upgrading, integration and transformation, standard implementation, etc. of intelligent manufacturing equipment. "A Short History of the Future: Legends of the Intelligent Era" was equally exciting. Everyone was welcome to click and read it!
Intelligent manufacturing equipment technology professional employment prospects
The employment prospects of the smart manufacturing equipment technology major were rather impressive. From the perspective of industry demand, as the country carries out numerical control, information and intelligent transformation of traditional enterprises, high-end numerical control machine tools, industrial robots, material manufacturing and other intelligent manufacturing equipment will be popularized and applied, which makes intelligent equipment design, assembly, manufacturing and technical transformation industries have a greater demand for relevant talents. graduates can engage in intelligent equipment machinery, electrical assembly, maintenance, upgrading and transformation, etc. From the perspective of job distribution, the job distribution was relatively wide, covering quality and safety, other aspects, procurement, electronics/electrical appliances/instruments, sales administration and business, engineering/machinery/energy, sales personnel, administration/logistics, etc. In terms of salary, as the number of years of work and experience increased, the salary continued to increase. The salary was about 2580 yuan when he just graduated, about 6785 yuan in two years after graduation, and about 9980 yuan in five years after graduation. "A Short History of the Future: Legends of the Intelligent Era" was equally exciting. Everyone was welcome to click and read it!
Intelligent manufacturing equipment technology employment direction and prospects
Intelligent manufacturing equipment technology employment direction is more extensive. He could be engaged in the work of assembly, maintenance, technical transformation, etc. in the intelligent equipment manufacturing industry. He could also be engaged in the positions of intelligent equipment machinery, electrical assembly, maintenance, upgrading and transformation in the intelligent equipment design, assembly, manufacturing, technical transformation and other industries. He could also be involved in the optimization and upgrading of equipment, the integration and application of intelligent manufacturing units, and the implementation of intelligent manufacturing standards. In terms of industry direction, instrument/industrial automaton accounted for 22.0%. In terms of job direction, quality and safety accounted for 22.0%, others accounted for 17.0%, procurement accounted for 11.0%, electronics/electrical appliances/instruments accounted for 9.0%, sales administration and commerce accounted for 8.0%, engineering/machinery/energy accounted for 8.0%, and sales personnel accounted for 7%. The employment prospects of this major were considerable. As the country carried out the numerical control, information, and intelligent transformation of traditional enterprises, high-end numerical control machine tools, industrial robots, and intelligent manufacturing equipment such as material manufacturing would be popularized, requiring a large number of professionals in operation, adjustment, maintenance, repair, and transformation. From the perspective of salary, with the increase of working years and experience, the salary will continue to increase. For example, the salary of a fresh graduate is about 2580 yuan, the monthly salary of two years after graduation is about 6785 yuan, and the monthly salary of five years after graduation is about 9980 yuan. "A Short History of the Future: Legends of the Intelligent Era" was equally exciting. Everyone was welcome to click and read it!
What do you learn from intelligent equipment technology?
Based on context alone Intelligent manufacturing equipment technology mainly studied the following aspects of knowledge: ** 1. Basic Mechanical Engineering Knowledge ** 1. ** Mechanical Drawing and Computer Aided Design ** - Mechanical drawing was an engineering drawing language that expressed the shape, size, working principle, and technical requirements of mechanical structures. Students needed to learn how to draw mechanical parts drawings, assembly drawings, etc., and master the basic principles of orthoprojection and view representation. - The application of the computer aided design software could efficiently and accurately draw, edit, and three-dimensional modeling of mechanical drawings, providing digital means for the design of intelligent manufacturing equipment. 2. ** Mechanical Design Basics ** - This included learning the design principles of mechanical parts, such as the design and calculation methods of common parts such as shafts, gears, bolts, etc., taking into account the strength, stiffness, lifespan, and other factors of the parts. - Grasp the design of mechanical transmission systems, such as the characteristics of belt transmission, chain transmission, gear transmission, etc., selection and transmission ratio calculation, in order to build a reasonable mechanical transmission structure. 3. ** Machinery manufacturing technology ** - Understand the mechanical manufacturing process, including the principle, characteristics and scope of application of blank manufacturing (such as casting, forging, stamping, etc.), cutting (turning, milling, grinding, etc.), special processing (electric spark processing, laser processing, etc.). - Master the concept and control method of mechanical processing accuracy to ensure the manufacturing accuracy and assembly accuracy of intelligent manufacturing equipment parts. ** 2. Knowledge of electrical control and automaton ** 1. ** Electrician and Electronic Technology ** - In electrical engineering, he learned the basic principles of circuits, such as Ohm's law, Kirchhoff's law, etc., and mastered the analysis methods of circuits, including the calculation of direct current circuits and alternating current circuits. - The electronic technology section covered both the digital electronic technology (such as semiconductor devices, amplifier circuits, integrated operational amplifier, etc.) and the digital electronic technology (logic gate circuits, flip-flops, counters, etc.), providing the electronic circuit foundation for the design of electrical control systems. 2. ** Electric Control Technology ** - Learn the structure, principle, and selection method of commonly used low-voltage electrical appliances (contactors, relaying, fuses, etc.), master the basic links of electrical control circuits (such as inching control, self-locking control, positive and negative rotation control, etc.). - Learn the programming and application of the programmed logic controller (PC). The PC is the core component of the electrical control of intelligent manufacturing equipment. It can automatically control the equipment by writing programs. 3. ** Automatic Control System ** - Understand the basic concepts, composition, and classification of automatic control systems, such as the principles and characteristics of open-loop control systems and closed-loop control systems. - Master the classic control methods in automatic control theory, such as the principle of PID control (proportional-integral-derivative control) and the setting of parameters to achieve precise control of various parameters (such as temperature, pressure, speed, etc.) during the operation of intelligent manufacturing equipment. ** 3. Knowledge of intelligent control and information technology ** 1. ** Sensing and Detection Technology ** - Learn the working principle, performance indicators, and applications of various sensors (such as temperature sensors, pressure sensors, displacement sensors, etc.). The sensors are the "eyes" and "ears" for intelligent manufacturing equipment to obtain external information. - Master the processing method of the detection signal, including signal amplification, filtering, ADC, etc., so that the sensor can convert the collected signal into a digital signal that can be processed by the computer. 2. ** Industrial Robot Technology ** - Understand the structural composition of industrial robots (such as robotic arms, joints, end-executors, etc.), and the analysis methods of kinematical and dynamic analysis. - Learn the programming and operation of industrial robots, including demonstration programming and offline programming, so that the robot can work according to the predetermined task requirements, such as handling, welding, assembly, etc. This has an important application in the intelligent manufacturing production line. 3. ** Intelligent manufacturing system integration ** - Learn how to integrate mechanical systems, electrical control systems, and intelligent control systems to build a complete intelligent manufacturing equipment system. - Master the planning, design, tuning, and optimization methods of intelligent manufacturing systems to improve the overall performance and production efficiency of intelligent manufacturing equipment. ** 4. Knowledge of computer technology and software engineering ** 1. ** Computer programming language ** - Learn programming languages such as C, C++, Python, etc. These languages could be used to write control programs, data processing programs, and so on for intelligent manufacturing equipment. - For example, Python language has advantages in data acquisition, analysis, and intelligent algorithm implementation, and can be used to develop intelligent decision-making systems in intelligent manufacturing. 2. ** Databank Technology ** - Understand the basic concepts of the database, data model (such as the relationship model), master the design method of the database, including the structure design of the database, the creation of the data table and the establishment of the relationship. - Learn the operation language of the database (such as SQL), which is used to store, manage, and query a large amount of data during the operation of intelligent manufacturing equipment, such as production data, equipment status data, etc. 3. ** Smart manufacturing software application ** - Learn the functions, architecture, and applications of smart manufacturing related software such as manufacturing execution systems (MES) and enterprise resource planning (ERP). - MES was used for the management and monitoring of the production process, ERP was used for the management and allocation of enterprise resources, and the application of these software helped to realize the efficient operation of intelligent manufacturing equipment in the enterprise production management system. "A Short History of the Future: Legends of the Intelligent Era" was equally exciting. Everyone was welcome to click and read it!
intelligent technology
Smart technology was a technology field that used modern technology such as computer technology, sensor technology, artificial intelligence technology, and so on to carry out intelligent transformation and upgrade of various equipment, systems, and services to improve their efficiency, accuracy, reliability, and intelligence level. Smart technology included smart home, smart transportation, smart manufacturing, smart medical care, smart security, and many other fields. In the field of smart home, smart technology could realize automatic control and remote monitoring of home devices, such as smart door locks, smart home appliances, smart lamps, etc. In the field of smart transportation, smart technology could realize intelligent control of traffic flow and automatic driving of vehicles, such as smart traffic signal lights, smart navigation systems, smart driving assistance systems, etc. In the field of smart manufacturing, smart technology can realize the automaton and intelligence of the production process, such as smart robots, smart manufacturing systems, smart logistics systems, etc. In the field of smart medicine, smart technology can realize the intelligence of medical equipment and the remoteness of medical services, such as smart medical equipment, remote medical systems, smart health management systems, etc. In the field of smart security, smart technology can realize the intelligence and visualization of security, such as intelligent monitoring systems, intelligent alarm systems, intelligent access control systems, etc. If you want to know more about the follow-up, click on the link and read it!
technology intelligent
Technology intelligence was a broad concept that had different manifestations in many fields. In the field of cars, such as the new Jetta VS7, its intelligent technology is reflected in the advanced navigation system, convenient voice control function, etc., which improves the convenience and safety of driving. At the same time, it uses advanced energy-saving technology and takes into account environmental protection; The DiLink smart cockpit of Tengshi Z9 is equipped with a customized chip, 11-screen interconnected design, full-scene intelligent voice interaction system, high-quality audio equipment, etc., bringing an immersive intelligent experience for drivers and passengers; The Volkswagen Bora was equipped with an advanced in-car entertainment system that supported Bluetooth, navigation, and multi-media playback. Some models also had practical functions such as reversing images and cruise control. In the field of education, Ape Power Technology had demonstrated a variety of AI educational technology achievements, such as AI multi-language intelligent marking technology, which could quickly give test paper marking results and lecture videos. It could also analyze students 'weaknesses and generate customized homework. Its Little Ape Learning Machine integrated a variety of AI technologies, which could take photos to mark homework and make detailed annotations. It also included dozens of essential functions for students, such as reading and marking words, memorizing words and strengthening memory according to the forgetting curve. In addition, there were also some scientific and intelligent achievements, such as the " New Technology " comic, which included six cutting-edge technologies such as autonomous driving, biomedicals, high-tech materials, smart chips, robots, and the universe. It used thousands of comics to explain more than 300 scientific and technological knowledge points. " A Short History of the Future: Legends of the Intelligent Era " was equally exciting. Everyone was welcome to click and read it!
The hardware design of intelligent sports equipment
The hardware design of smart sports equipment needed to consider many factors: 1. ** The sensor is related to the algorithm ** - In terms of sensors, it was necessary to choose sensors that could accurately monitor the athlete's physiological data (such as heart rate, breathing rate, muscle activity, etc.). This was the basis for providing athletes with a customized training program. For example, through the data collected by these sensors, combined with the built-in algorithm, the athlete's physical condition, exercise habits, target preferences, and other factors were taken into account to develop a training plan suitable for the individual. 2. ** Movement monitoring hardware ** - For motion monitoring, high-precision cameras and other hardware devices were needed to capture the movements of athletes in real-time. Using motion recognition technology to identify the athlete's posture and movements, it provides immediate feedback to the athlete, including pointing out the irregular movements and guiding them to correct them through animation or voice to reduce the risk of sports injuries and improve their skill level. 3. ** Data processing hardware ** - In terms of data processing, it was necessary to choose a suitable processor. Because they had to collect and analyze a large amount of sports data, including basic sports parameters (distance, speed, time, etc.), as well as in-depth physical conditions, sports patterns, and other information, powerful processors helped to quickly and accurately process these data, providing accurate data support for athletes and coaches so that they could more intuitively understand the performance and progress of athletes and make more scientific decisions. 4. ** hardware for display and interaction ** - The display screen was an important component. It could be used to display various sports data, training programs, motion correction animations, and other content. For example, an intelligent display or interface could be integrated into the design of the device to make it more integrated and fashionable. For example, a unique touch panel could make the user interface more intuitive, simple, and easy to operate. - The interaction hardware also included buttons, buttons, etc., which should conform to the principles of ergonomics and be convenient for the user to operate. For example, the height, angle, and handle of the equipment should be designed to ensure that the user can operate and use the equipment comfortably and conveniently. 5. ** Connection and communication hardware ** - Considering the smart internet function, communication modules such as Bluetooth and Wi-Fi were needed to seamlessly connect with mobile phones, tablets, and other devices to achieve data synchronization and remote control. In this way, athletes could share their sports data and achievements on social media, increasing the fun of sports and helping to cultivate perseverance and self-discipline. 6. ** In terms of batteries ** - It was necessary to choose a battery with the appropriate capacity and performance to meet the battery life requirements of the device, especially for smart sports equipment that needed to be used for a long time or used in an inconvenient environment such as outdoor charging. 7. ** Shell and structure ** - The design of the outer shell should consider the survivability, such as designing a disassembled outer shell and a surface treatment that is easy to clean, so that it is convenient for maintenance personnel to repair and maintain. - Safety should be paid attention to in terms of structure, including anti-slip design, edge treatment, selection of screws, etc., to ensure that the user would not cause harm when using the equipment, and to improve the reliability and stability of the equipment. "A Short History of the Future: Legends of the Intelligent Era" was equally exciting. Everyone was welcome to click and read it!
Zhuiyue Intelligent Technology
Moon Chasing Technology was a high-tech company with headquarters in Shanghai and Beijing. Shanghai Chasing Moon Technology Co., Ltd. was a brand of Shanghai Yunna Intelligent Technology Co., Ltd., founded in 2017, focusing on computer vision and artificial intelligence application development, and had completed tens of millions of US dollars of financing. Beijing Chasing Moon Technology Co., Ltd. was established in 2019. It was an enterprise focusing on technology promotion and application services with a registered capital of 1.25 million yuan. The salary level of Chasing Moon Technology was good in the same industry, and many employees shared their personal salary. Regarding the specific products and business details of Moon Chasing Intelligent Technology, the information provided so far was insufficient to answer this question.
intelligent driving technology
Intelligent driving technology referred to the ability to achieve automatic driving of vehicles through artificial intelligence and sensor technology. He could learn about some new developments and core technologies of smart driving technology. According to the first document, the basis of smart driving technology was to collect data through sensors, and combine it with artificial intelligence technology to filter, standard, train, and verify the data to form a closed-loop data-driven system. Compared to the previous rule algorithms, this data-driven method could achieve low-cost and high-efficiency system repetition. Horizon had made some progress in the chip field and had signed with more than 20 car companies for more than 70 models. The second document mentioned the five core technologies of smart driving, including recognition technology, perception technology, decision-making technology, execution technology, and control technology. Among them, the identification technology uses sensors (such as cameras, laser radars, millimeter wave radars, etc.) to identify surrounding vehicles, obstacles, and pedestrians. Perception technology, on the other hand, was to obtain the distance, location, and other information of the target through a perception sensor. Decision-making technology was used to make corresponding decisions based on perceived information, while execution technology was used to translate decisions into specific driving behavior. The control technology was used to control the acceleration, steering, and braking of the vehicle. The third document mentioned the three major systems of smart driving technology, including perception, decision-making, and execution. At the same time, it was pointed out that the safety of smart driving technology required scientific cognitive driving assistance, not completely autonomous driving. In addition, smart driving technology also needed perfect vehicle and road coordination and other supporting construction, and scale effect and technology maturity were the key to smart driving costs. Based on the above search results, it could be concluded that the new developments in smart driving technology included data-driven system repetition, the development of chip technology, and the application of core technologies such as perception, decision-making, and execution. However, the progress of the smart driving technology required further detailed information.