Opening up new tracks to solve industrial manufacturing pain points
For many industrial manufacturing enterprises, the manual inspection process of the production and assembly of parts is mechanically cumbersome and time-consuming, which can not meet the current needs of industrial development. "In the field of intelligent manufacturing, our 3D cameras can not only give industrial robots' human brain thinking ', enabling them to complete high-precision and more complex production and assembly processes, but also monitor products at the sub-micron level, even if only 1% of the diameter of the hair of the product defects can be identified." Gao Guoming, deputy general manager of CSIC Pengli (Nanjing) Intelligent Equipment System Co., LTD., introduced that in view of this industry pain point, the company will use high-speed and high-precision machine vision intelligent detection as the technical direction of the development of artificial intelligence field.
Before that, the company focused on providing large and medium-sized intelligent equipment system integration solutions for compressors, ships, offshore engineering, nuclear power, wind power and other industries. Gao Guoming said that the company has developed the first intelligent assembly testing complete equipment system with independent intellectual property rights for many industries. When they found that intelligent production is the necessary way for enterprises to improve their competitiveness, they decided to open up a new track, find new advantages, with the aid of machine vision detection technology, automatic identification, positioning and detection of objects in the image, to achieve automated production, quality control, intelligent management and control and other applications, to solve the pain points of industrial manufacturing.
Referring to the advantages of this technology, Gao Guoming introduced: "The human eye usually takes 1 to 2 seconds to identify defects, after investing in intelligent detection equipment, the detection time can reach the millisecond level, and the detection stability is higher, which can greatly improve production efficiency." For different industrial scenarios, the company has developed a number of visual equipment, not only in the "traditional track" to win the favor of enterprises, but also to expand this technology to chip packaging, micro-assembly and other semiconductor fields. "Today, driven by the engine of artificial intelligence technology, the business is growing rapidly," he says, beaming with pride.
The engine of independent innovation will unleash sustained momentum
In the production workshop of an auto parts enterprise in China, a "small worker" equipped with a mechanical arm is rapidly detecting many auto parts such as automotive interior, instrument panel, and auto trim parts according to the testing needs. Different from manual detection, "workers" not only achieve rapid entry and flexible tangency, but also reduce the implementation cost of artificial intelligence by 40%. This independent research and development and the realization of domestic "small craftsmen" from Changzhou Weiyi intelligent manufacturing Technology Co., LTD.
As a new quality productivity, artificial intelligence has clearly shown the two application paths of improving "high efficiency" and spawning "new species". In order to promote the autonomy and control of industrial technology, it is necessary to carry out industrial layout in the core links and related technologies. With the new industrialization process to promote the explosive growth of new processes, Weiyi Intelligent manufacturing focused on the field of intelligent manufacturing through the long-term layout of "AI vision + robot intelligent control" full stack technology, to build a solid technical backing and continue to break through the boundaries of innovation, to promote a number of "neck" technology and major technological innovation projects.
Li Kepin, deputy general manager of Weiyi Intelligent Manufacturing, introduced that in recent years, Weiyi intelligent manufacturing independent innovation has built a solid technical "moat". Taking robot intelligent control technology as an example, Weiyi Intelligent Manufacturing not only realizes the technology first-mover advantage in the core link of the robot, but also combines the engineering development technology based on human-computer interaction to form a comprehensive technical barrier. In June last year, on the basis of realizing the "productization" of artificial intelligence quality inspection equipment, Weiyi Intelligent Manufacturing completed the localization of "small craftsmen", which makes the leasing and purchase costs of enterprises in the stage of industrial intelligent transformation lower, and also provides a powerful engine for the high-end, intelligent and green transformation of manufacturing enterprises.
"Although we focus on quality inspection, our technical advantages are not only in testing." Li Kepin revealed that Weiyi Intelligent manufacturing has deposited the full-stack technical capability of "visual AI+ robot control" into a standardized, integrated, and integrated product system, which is currently widely used in many fields such as new energy, automobile manufacturing, 3C electronics, household appliances, and medical devices. At the same time, Weiyi intelligent manufacturing also helps more than 2,000 factories in 18 cities across the country to achieve intelligent transformation and digital transformation, saving more than 10,000 quality inspection personnel for manufacturing enterprises, and helping factories to convert production capacity worth more than 2.5 billion yuan per year.
Comprehensively empower to lead the new industrialization
At present, the comprehensive empowerment of artificial intelligence has become a trend. Artificial intelligence enables to accelerate the formation of new quality productivity, not only provides a broad stage for Jiangsu's new industrialization, but also brings opportunities for related industry chain enterprises to overtake on a curve. In this regard, Xu Jun, deputy director of the provincial Department of Industry and Information Technology, said: "Jiangsu, as a large province of the real economy and digital economy, is also a highland for the development of artificial intelligence industry, and has the responsibility and ability to lead the way to the development of new industrialization."
Jiangsu's artificial intelligence industry development level is generally in the forefront of the country, has formed a relatively complete industrial chain of artificial intelligence base layer, technology layer and application layer, and has more than 20 national research and development institutions in the field of artificial intelligence. In addition, the in-depth promotion of "intelligent change number to network connection" has pressed the acceleration key for the new industrialization of artificial intelligence. Xu Jun believes that to build a new path for the development of new industrialization enabled by artificial intelligence, we should speed up the "intelligent transformation of data into network connection" enabled by artificial intelligence, promote the renewal of traditional products enabled by artificial intelligence, and optimize the service ecology enabled by artificial intelligence.
For Jiangsu to vigorously develop artificial intelligence industry to form new quality productivity, enterprises that have long been in the industry line and have accumulated a lot of experience have also put forward suggestions. In their view, "AI is the engine of new quality productivity." Compared with other fields, intelligent manufacturing has great potential and is expected to open a new cycle of productivity acceleration."
However, there are many bottlenecks hindering the development of current intelligent manufacturing. "Market demand is fragmented and there is no unified standard, which is one of the bottlenecks." Li Kepin admitted that even if the homogeneous demand, its implementation standards are often not the same, resulting in the reusability of industrial data is not high, and the cost of algorithm customization from scratch may be greater than the benefits of intelligent transformation, so that enterprises can not profit from it. At the same time, the current intelligent indicators are not enough to meet the needs of industrial production, resulting in the need for complex man-machine collaboration training on the implementation of the project, and even may not be able to solve the problems encountered in the current industrial production, only "icing on the cake", not "in the snow".
In order to solve problems such as standardization needs and intelligent indicators, intelligent manufacturing has gradually evolved from a module transformation based on local intelligence to a system engineering oriented to global intelligence, and the needs of users have also transformed from the needs of a single modular product to the needs of an overall solution. In these technological evolution and application upgrades, artificial intelligence technology, especially the "big model", will be more like the PC in the future, everywhere. "Large models and robotics are undoubtedly highly disruptive, both an important part of the new quality of productivity, but also the core fulcrum of the AI revolution, and the combination of the two formed embodied intelligent robots is a key force leading the future." Li Kepin said. (Zhang Hanhong)
Source: Jiangsu Economic Daily
