Intelligent material foundation is automation

- May 11, 2019-

Starting from the automation of a single device and the intelligentization of products, it is the intelligent material basis for intelligent operation of key processes, replacement of key positions, and improvement of production efficiency and product efficiency.

With the maturity of technology and the reduction of cost, the widespread application of intelligent devices such as industrial robots and robotic arms has been promoted, making it possible to unmanned factories.

In recent years, China's robot market has developed rapidly. In 2014, China's industrial robot sales reached 56,000 units, making it the world's largest industrial robot market.

It is estimated that by 2020, the sales volume of industrial robots will reach 150,000 units, and the number of holdings will reach 800,000 units. By 2025, the sales volume of industrial robots will reach 260,000 units, and the number of holdings will reach 1.8 million units.

At the production site, industrial robots have achieved scale integration applications in welding, handling, painting, processing, assembly, inspection, and clean production. In addition to saving labor and improving production efficiency, more importantly, it works more evenly, with better stability, and the product quality is controllable and traceable. This is an important basis for digital management and product quality improvement!

Combined with the automated production line, CNC machining centers, intelligent robots and coordinate measuring machines and all other flexible manufacturing units carry out automatic scheduling, automatic loading and unloading of workpieces, materials and tools, which can achieve unattended full automation production mode.

Further research is needed on key technologies such as visual processing, situational awareness, pattern recognition, self-decision self-execution, and visualization to improve the three-dimensional positioning, modeling, search and interaction technologies of robot products, and improve control performance, human-computer interaction performance and reliability. Performance, improve the ability of robot task reconstruction, deviation adaptive adjustment, and finally realize the ability of robots to complete sophisticated tasks in the human-machine coexistence environment.