In recent years, China's artificial intelligence technology research and industrial application development momentum is rapid, has been involved in the national economy 39 industry categories, has been widely used in speech recognition, computer vision, robotics and other fields. For the manufacturing industry, accelerating the development of a new generation of artificial intelligence is considered to be an important strategy for intelligent manufacturing and industrial upgrading. Following the release of the “New Generation Artificial Intelligence Development Plan†by the State Council in 2017, the Ministry of Industry and Information Technology issued the “Three-Year Action Plan for Promoting the Development of a New Generation of Artificial Intelligence Industry (2018-2020)†and “The New Generation of Artificial Intelligence Industry Innovation Key Tasks†The Work Plan is unveiled to promote the integration of artificial intelligence and manufacturing, and to drive the intelligent transformation and upgrading of manufacturing. In addition, there are 21 pilot projects for artificial intelligence applications in the list of 2018 smart manufacturing pilot demonstration projects issued by the Ministry of Industry and Information Technology, involving enterprises in the automotive, steel, shipbuilding, pharmaceutical, and equipment industries.
Under the pilot demonstration and major engineering, China's artificial intelligence industry has shown a sustained and rapid growth trend in 2018. It not only builds a complete industrial chain in the basic, technical and application layers, but also designs and manufactures products. The integration of sales service scenarios has been deepened, covering the entire life cycle of enterprise product production. With the increase of artificial intelligence in manufacturing applications, artificial intelligence has gradually become a new input factor, creating new upside for manufacturing efficiency and economic benefits.
Taking product development as an example, by incorporating artificial intelligence and machine learning modules, the software design platform can better understand the designer's needs and master the performance parameters of digital design and production factors such as modeling, structure, materials and manufacturing, and the intelligent guidance in the system. Under the constraints of the designer, only the required size, weight and material constraints can be set up by the system. For example, in order to achieve further breakthroughs in the lightweight design of the next generation of automobiles, GM and Autodesk have collaborated to develop future passenger cars and trucks with derivative design and additive manufacturing as the core technology, including development of more efficient and lighter. Electric drive system and zero emission models.
In the manufacturing process, the application advantages of artificial intelligence in machine vision are more and more obvious. With artificial intelligence, it is possible to quickly identify various materials of materials from the visual, detect non-conforming products and guide the production line to sort, and reduce labor costs. At the same time, improve the pass rate of the factory products. For example, Japan NEC Corporation has introduced a machine vision inspection system that can quickly identify various defects in metal, artificial resin, plastic and other materials. In addition, face recognition and automatic tracking, indoor positioning has become one of the achievements of artificial intelligence technology. When workers need manual carts to ship materials and carry them out for distribution, through artificial intelligence technology upgrade, automatic follow-up and assistance of the vehicle body can be realized. Human-machine collaboration, which is delivered and integrated with artificial intelligence, is also becoming mainstream in more work scenarios and more complex processes.
In terms of marketing services, through the machine learning model based on the user's buying habits and product attributes for deep learning, a comprehensive knowledge map can be formed, on the basis of which personalized recommendations to users, but also to the sellers to provide relevant production and Marketing advice, such as Amazon's use of artificial intelligence technology to increase its additional profit by 10% to 30%.
Today, artificial intelligence applications cover not only traditional manufacturing industries such as 3C, textiles, metallurgy, and automobiles, but also strategic emerging industries such as high-end equipment manufacturing, robotics, and new energy. The Institute believes that the artificial intelligence market will reach 50 billion yuan in 2019 and more than 70 billion yuan in 2020. It is worth noting that at the same time of rapid development, manufacturing artificial intelligence applications also have problems with business disconnection, data silos and data fragmentation. For domestic manufacturing enterprises, many enterprises are less intelligent and digital, and artificial intelligence has certain thresholds for talents and resources. It cannot be used to implement artificial intelligence and blindly invest. The fundamental purpose of the combination of manufacturing and artificial intelligence is to improve efficiency and reduce costs. Enterprises need to adapt to local conditions, combine existing software and hardware infrastructure, talent reserves and capital planning to find out the integration point between artificial intelligence and production business. Artificial intelligence truly serves the enterprise and brings tangible value.
Under the pilot demonstration and major engineering, China's artificial intelligence industry has shown a sustained and rapid growth trend in 2018. It not only builds a complete industrial chain in the basic, technical and application layers, but also designs and manufactures products. The integration of sales service scenarios has been deepened, covering the entire life cycle of enterprise product production. With the increase of artificial intelligence in manufacturing applications, artificial intelligence has gradually become a new input factor, creating new upside for manufacturing efficiency and economic benefits.
Taking product development as an example, by incorporating artificial intelligence and machine learning modules, the software design platform can better understand the designer's needs and master the performance parameters of digital design and production factors such as modeling, structure, materials and manufacturing, and the intelligent guidance in the system. Under the constraints of the designer, only the required size, weight and material constraints can be set up by the system. For example, in order to achieve further breakthroughs in the lightweight design of the next generation of automobiles, GM and Autodesk have collaborated to develop future passenger cars and trucks with derivative design and additive manufacturing as the core technology, including development of more efficient and lighter. Electric drive system and zero emission models.
In the manufacturing process, the application advantages of artificial intelligence in machine vision are more and more obvious. With artificial intelligence, it is possible to quickly identify various materials of materials from the visual, detect non-conforming products and guide the production line to sort, and reduce labor costs. At the same time, improve the pass rate of the factory products. For example, Japan NEC Corporation has introduced a machine vision inspection system that can quickly identify various defects in metal, artificial resin, plastic and other materials. In addition, face recognition and automatic tracking, indoor positioning has become one of the achievements of artificial intelligence technology. When workers need manual carts to ship materials and carry them out for distribution, through artificial intelligence technology upgrade, automatic follow-up and assistance of the vehicle body can be realized. Human-machine collaboration, which is delivered and integrated with artificial intelligence, is also becoming mainstream in more work scenarios and more complex processes.
In terms of marketing services, through the machine learning model based on the user's buying habits and product attributes for deep learning, a comprehensive knowledge map can be formed, on the basis of which personalized recommendations to users, but also to the sellers to provide relevant production and Marketing advice, such as Amazon's use of artificial intelligence technology to increase its additional profit by 10% to 30%.
Today, artificial intelligence applications cover not only traditional manufacturing industries such as 3C, textiles, metallurgy, and automobiles, but also strategic emerging industries such as high-end equipment manufacturing, robotics, and new energy. The Institute believes that the artificial intelligence market will reach 50 billion yuan in 2019 and more than 70 billion yuan in 2020. It is worth noting that at the same time of rapid development, manufacturing artificial intelligence applications also have problems with business disconnection, data silos and data fragmentation. For domestic manufacturing enterprises, many enterprises are less intelligent and digital, and artificial intelligence has certain thresholds for talents and resources. It cannot be used to implement artificial intelligence and blindly invest. The fundamental purpose of the combination of manufacturing and artificial intelligence is to improve efficiency and reduce costs. Enterprises need to adapt to local conditions, combine existing software and hardware infrastructure, talent reserves and capital planning to find out the integration point between artificial intelligence and production business. Artificial intelligence truly serves the enterprise and brings tangible value.
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