The large model entered the manufacturing industry, and the intelligent number of enterprises continued to deepen

In fact, the manufacturing industry is one of the most significant industries in the digital transformation, and the common pain points of the industry are quality, cost, supply chain, and information loss. In the repeated game of “problem” and “problem solving” again and again, the manufacturing industry is moving from the mechanization stage to the automation and intelligent stage. The most significant feature of this stage is that the manufacturing production line and business unit will realize AI to assist people to complete decisions, so that the production is more efficient and people’s decisions are more accurate.

Especially with the blessing of innovative AI technologies such as machine learning, multi-modal pre-training large models, and generative AI, high-quality digital intelligent solutions serving intelligent manufacturing continue to emerge:

Applied to automotive, steel, cement, solid waste and other industries in the Ali cloud industry intelligent OpenTrek, through the encapsulated intelligent control integration platform AICS, collection of production process data, processing and analysis modeling, output optimal decision-making to assist production line operators, and ultimately achieve “cost reduction, efficiency increase, quality improvement, emission reduction”.

More and more attention has been paid to the large model of thousand questions, which can provide reasoning and decision-making ability for industrial robots to perform tasks. Front-line workers only need to send a piece of text, thousand questions can understand its intention to perform task reasoning, and automatically translated into the machine can understand the code, command the machine to perform tasks, effectively improve production efficiency.

Iflytek Acoustic imager, which is deeply involved in the digitalization practice of the steel industry, carried out a visual leak speed scan of the vacuum of 12 closed box branch pipes in the sintering plant of Shougang Qian ‘an Iron and Steel Co., LTD., serving Qian ‘an City, Hebei Province, which directly shortened the inspection time of more than 10 hours in the past to 90 minutes, and detected 22 gas leakage points in the plant.

Focusing on the creation of manufacturing scenes, Lenovo Le Eye industrial quality inspection solution upgrades the manufacturing plant quality inspection link to AI intelligent inspection unit through self-developed small sample learning, screen detection, fine segmentation and other innovative technologies. This not only reduces labor costs, but also effectively improves the level of quality inspection intelligence and production efficiency, but also improves the overall production capacity while ensuring the “yield rate”.

In the delivery volume picking and loading link, Lenovo has created an intelligent picking code layout decision intelligence based on reinforcement learning, which can be used in the packaging boxes of factories and warehouses, shipping containers and other scenarios to provide urban truck transportation path optimization, warehouse robot path planning and other designs.

The application of AI technology extends far beyond these scenarios. With more and more AI solutions landing, artificial intelligence is opening a broader application space, and intelligent manufacturing is also landing in multiple fields and multiple scenarios.

For example, in the construction stage of smart factories, through the digital twin of virtual reality and the big data of manufacturing systems, the whole process of intelligent factories from construction to use is simulated. For another example, in the raw material processing stage, the optimal organization management of raw materials, such as cutting and classification, is carried out by intelligent vision and intelligent monitoring system through machine learning. For example, during the production phase, through AIot’s sensor network, the manufacturing equipment can be monitored and controlled in real time and the production parameters can be obtained……

At the same time, machine learning, large model and other AI technologies actively embrace the manufacturing industry behind the strong computing power support, which is also the focus of major solution providers to attach importance to and actively layout, and show their own strength, for example, Lenovo server has been ranked third in the world for three consecutive quarters in the IDC report; In the field of high-performance computing, Lenovo has topped the Global Top 500 Computing Power list for 11 consecutive times. An additional $1 billion will be invested over the next three years to accelerate AI deployment in enterprises worldwide. Only from Lenovo, you can feel the importance of computing power for intelligent manufacturing, and other companies such as Ali, Huawei, New H3C, and IFlytek also have many AI solutions and strong computing power as support.

These high-quality solutions also give manufacturing companies more choices.