Smart Manufacturing Breakthrough Intelligent manufacturing from robots generally covers smart manufacturing equipment, smart manufacturing systems, and smart manufacturing services, among which smart manufacturing equipment is the core breakthrough point for smart manufacturing development.
“Made in China 2025†is regarded as the first 10-year roadmap for “transforming China from a manufacturing powerhouse to a manufacturing powerhouse in three to 10 years,†making intelligent manufacturing equipment one of the most closely watched industries at the moment. Many places are actively planning the development of smart manufacturing. According to international experience, the intelligence of the robot will be the core of the intelligent manufacturing industry. In this regard, Xiong Youlun, an academician of the Chinese Academy of Sciences, believes that smart manufacturing generally covers smart manufacturing equipment, smart manufacturing systems, and intelligent manufacturing services, among which smart manufacturing equipment is the core breakthrough point for smart manufacturing development.
Smart manufacturing is the materialization of human wisdom in manufacturing activities and the formation of human-computer coordination and cooperation system. Robots are no longer simply replacing manual operations. They are actually changing human production methods, helping various industries to improve production efficiency and product quality, and achieving modern production and management of energy efficiency.
"The development of intelligent manufacturing systems involves the requirements of market and environment, manufacturing needs, multi-species and multi-batch, high-quality and low-cost, etc. This is a comprehensive system of cooperation. To improve competitiveness, improve work efficiency, shorten production cycles, improve flexibility, robotics And intelligent systems will become the engine of continuous development." Xiong Youlun further said.
90% of Enterprise's Intelligence Levels Are Immature In recent years, the demand in the Chinese market has not yet reached a very high level of precision. The replacement of manual operations by robots on simple production lines has become popular, and complex applications still require time.
How to realize the intelligentization of industrial robots is a key issue that needs to be solved. There is still a gap between Chinese manufacturing and developed countries, especially in terms of intelligence. Compared to developed countries that had begun to focus on smart manufacturing in the 1970s, China's smart manufacturing industry is much later. Some industry experts believe that the level of intelligence in Chinese companies is currently uneven. Only about 10% of large companies have higher levels of smart manufacturing, and 90% of enterprises are immature.
Mitsubishi Electric Co., Ltd. Nagoya Manufacturing Co., Ltd. Market & Product Planning Department Robotics Division Mt. Sidshan said that high-precision and high-speed intelligent robots are definitely the future direction of development. In recent years, the demand in the Chinese market has not yet reached a very high level of precision, simple production line. Replacement of manual operations by robots has become commonplace, but the replacement of complex applications still takes time.
However, from the European and American markets, the requirements for intelligent and informationized robots are very high. It can be predicted that China will inevitably have the same demand after several years. For robot manufacturers, it is necessary to look forward to the development of new functions and new products, to guide the market and the direction of technology, but also take into account the actual market conditions.
Integrating with Peripheral Sensing, Control, and Communication Systems From the industrial control point of view, multi-node control and communication coordination of different nodes are currently one of the keys.
At present, the key to intelligent robots is how to integrate them with communication systems and peripheral sensors and controllers to achieve effective applications. This is the focus of most companies. Atmel’s senior director, Wu Qun, believes: “From an industrial control point of view, multi-node control and communication coordination between different nodes are currently one of the keys.â€
Automatic machines or industrial robots that originally worked in a factory-structured environment are suitable for large-scale, less-flexible and variable production environments, and do not require excessively high levels of intelligence. With the expansion of automation applications, new demands are placed on intelligent robots and systems. To meet the different requirements in different non-structural environments, it is necessary to have comprehensive integration and autonomous capabilities, especially toward collaborative development of multiple robots. This requires good communication and cooperation capabilities. "We feel that interconnection has become a very important part, and of course there is sampling. Atmel considers interoperability, Sanser, security and security systems as its focus in product design and planning. This process can be seen in MCU technology, With the enormous effect of interconnecting technologies, sensors, etc. If we integrate these modules into one chip, this chip will be very suitable for the needs of the future industry 4.0 era," Wu Qun pointed out.
In addition, perception is also the basis of intelligent robots, including "sensing" (sensing) and "knowing and understanding" (information fusion and utilization). Hou Jilei, director of Qualcomm China Research Center, believes that robots need a more powerful perception of the environment. In the process of developing the Snapdragon system chip, we have very broad support for a variety of OEMs, such as Sensorassisted, in addition to navigation, positioning, inertial navigation systems, and environments. Positioning in a complex environment is a challenge. Sensorassisted can help people correct errors and make robots work well in complex environments.
In the development of intelligent robots, multi-robot collaboration systems are a type of integrated technology integration platform. If the intelligence of a single robot is only to make individual people more intelligent, then a multi-robot cooperative system not only needs a group of smart people, but also requires them to cooperate effectively. Therefore, it not only reflects individual intelligence, but also reflects collective intelligence. It is an exploration of the imagination and innovation of human social production activities.
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