Local enterprises are increasingly aware of the need to develop their own technology and products to solve the problem of foreign bottlenecks.In order to realize the autonomous control of intelligent manufacturing technology, we should first improve the talent training mechanism, complete the accumulation of basic science, speed up the technological innovation and upgrading;Secondly, if domestic enterprises want to move towards high-end applications, they need to solve the problem of customer trust. In the final analysis, they need to do a good job in technology so that products can be applied.
As the first year of the 14th Five-Year Plan, intelligent manufacturing has great promise in 2021.With the continuous advancement of 5G, cloud computing, AI (artificial intelligence), IoT (Internet of Things) and other emerging technologies, the manufacturing industry is gradually moving towards intelligent accelerated mode transformation and industrial upgrading through integrated development.
On April 16, in the robot and Intelligent manufacturing Summit forum held by Meike.com, enterprises and universities from the upstream and downstream of the robot and intelligent manufacturing industry chain introduced the latest research results of robots and the development trend of robot and intelligent manufacturing in the future.
Robots can be roughly divided into three categories: industrial robots, service robots and special robots. Industrial robots account for the largest proportion and are an important driving force for the development of intelligent manufacturing industry.According to data compiled by SAZ Times, industrial robots accounted for 65% of the total robot market in China in 2020, service robots accounted for 27% and special robots accounted for 8%.
Czech writer Capek once put forward three concepts of robots: safety, perception and self-reproduction.For a long time, China's industrial robot technology is still weak in both safety performance and perception.In recent years, the manufacturing industry continues to develop rapidly, and the market has put forward higher requirements for the production efficiency and quality of factories, constantly promoting the evolution and upgrading of intelligent manufacturing from automation to intelligence.As an important symbol of intelligent manufacturing, China's robot technology is also in continuous innovation and development, the market continues to improve.
According to IFR statistics, the density of industrial robots in China reached 97 units per 10,000 people in 2017, already exceeding the global average, and is expected to break 130 units per 10,000 people in 2021, reaching the average level of developed countries.According to preliminary statistics, the scale of China's industrial robot market reached 5.73 billion US dollars in 2019. By 2020, the scale of the domestic market will further expand and is expected to break through 6 billion US dollars.
Robot 2.0, fully empowered intelligent manufacturing
Intelligent manufacturing is based on the new generation of information and communication technology and advanced manufacturing technology deep integration, through the design, production, management, service and other manufacturing activities of each link, with self-perception, self-learning, self-decision, self-execution and self-adaptive functions of the new production mode.At its core is the effective use of data to improve and automate decision-making, forecasting and real-time action to optimize industrial output.The global smart manufacturing market is expected to reach $400 billion in 2024, with a compound annual growth rate of 10.1 percent, according to TrendForce's Topology Research.
Industrial robot is an important part of intelligent manufacturing and a symbol to measure a country's innovation ability and high-end manufacturing level.Therefore, industrial robots also need continuous innovation and development in perception, learning, decision-making and other functions.From the point of view of intelligence, robot has machine and human two categories of attributes.Robot 1.0 is more inclined to the former, while robot 2.0 is more inclined to the latter, and gradually develops and evolves towards a more intelligent, flexible and safe direction.
The proposal of industry 4.0 requires the traditional manufacturing industry to greatly improve in speed, flexibility, response speed and efficiency, and reduce production costs while ensuring high quality.Driven by AI, AR and machine vision, robot 2.0 has made a qualitative leap in decision-making and interaction capabilities compared with the previous generation.On the other hand, the security requirements of robot 2.0 rise to a new height. The application of cooperative robot makes the definition of security expand gradually. It not only ensures the performance safety of the robot itself, but also requires the robot to cooperate with the surrounding environment to ensure the safety of people and things around.
Under the background of localization, how to develop intelligent manufacturing?
The "fourteenth Five-year plan" put forward the development goal of intelligent manufacturing, that is, to speed up the popularization of digital, accelerate the intelligent transformation.With the support of national policies, the integration of intelligent manufacturing industry has gradually expanded. In addition, the technology suppression and blockade led by the United States has made the international environment increasingly severe, and a wave of "localization replacement" has been set off in the field of intelligent manufacturing.
Under the upsurge, localization process also encountered many challenges and problems.From the core underlying technology to the bus protocol mode, China's intelligent manufacturing industry is subject to foreign countries.Local enterprises are increasingly aware of the need to develop their own technology and products to solve the problem of foreign bottlenecks.In order to realize the autonomous control of intelligent manufacturing technology, we should first improve the talent training mechanism, complete the accumulation of basic science, speed up the technological innovation and upgrading;Secondly, if domestic enterprises want to move towards high-end applications, they need to solve the problem of customer trust. In the final analysis, they need to do a good job in technology so that products can be applied.