Artificial intelligence is a key technology leading the development of China's manufacturing industry, a key direction to promote the development of the real economy, and an important driving force for the development of networked, digital, and intelligent manufacturing industries. The development of modern technology is bringing new vitality to the transformation and upgrading of the manufacturing industry, and artificial intelligence technology is one of them.

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Application Of AI In Manufacturing
Artificial intelligence is a key technology leading the development of China's manufacturing
industry, a key direction to promote the development of the real economy, and an important
driving force for the development of networked, digital, and intelligent manufacturing industries.
The development of modern technology is bringing new vitality to the transformation and
upgrading of the manufacturing industry, and artificial intelligence technology is one of them.
The application of artificial intelligence in the manufacturing industry has three main aspects:
First, intelligent equipment, including specific equipment such as CNC machine tools, automatic
identification equipment, human-computer interaction systems, and industrial robots.
Next is the smart factory, which includes specific content such as smart design, smart production,
smart management, and integration optimization.
Finally, there are intelligent services, including specific service models such as large-scale
personalized customization, remote operation and maintenance, and predictive maintenance.
A new generation of information technology, represented by 5G, big data, the Internet of Things,
and artificial intelligence, is helping devices to connect to the Internet and data to the cloud.
For the traditional manufacturing industry, in order to achieve the deep integration of AI and the
industrial Internet, 5G, big data, and the Internet of Things are indispensable: 5G enhances data
transmission capabilities, artificial intelligence builds data models, virtual reality and ultra The
high-definition display enhances the visualization of the data.
Some analysts pointed out that artificial intelligence has promoted the rapid development of
machine vision, from the facial recognition function in the mobile phone, the facial album

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classification, to the Alipay facial recognition authentication, the locker facial recognition, and the
industrial robot pairing.
Objects are accurately grasped, logistics robots avoid obstacles, and the applications of vision
machines around us can be seen almost everywhere.
With the help of the hot wind of artificial intelligence, machine vision technology has become a
key driving force for many manufacturing companies to move toward intelligent and informative
upgrades.
In particular, industries such as smart logistics and smart packaging that have a certain
automation foundation and are very eager to move toward intelligence are more proactive in
applying machine vision technology.
Some analysts pointed out that the driving force for the development of artificial intelligence
mainly comes from four aspects:
First, data, that is, the data foundation provided by technologies such as big data, Internet of
Things, and cloud computing;
Second, machine learning algorithms that have made major breakthroughs;
Third, Powerful computing power represented by the graphics processing unit (GPU);
Fourth, it benefits from the acceptance and recognition of artificial intelligence technology by the
whole society.
Driven by these important forces, artificial intelligence technology continues to mature and
application scenarios are increasing.
Under the guidance of AI technology, the traditional manufacturing industry model has been
challenged and many new changes have taken place. Under the guidance of the new generation
of artificial intelligence technology, the manufacturing industry has gradually evolved from
focusing on scale production to focusing on customer needs and maintaining the cost advantages
of scale production to achieve product production models that meet individual needs.
Under the continuous evolution of manufacturing models, some new models have gradually
taken shape, mainly including e-commerce, digital manufacturing, cloud platform +
manufacturing, network collaborative manufacturing, a new generation of artificial intelligence
manufacturing, mass customization production services, remote operation and maintenance
services, software Defined manufacturing, etc.
As the two key directions of current service-oriented manufacturing with greater promotion and
application value, the application of new-generation artificial intelligence technology in remote
operation and maintenance services and mass customization production is accelerating.
If the industrial production line or production equipment suddenly fails during the production
process, it will cause huge losses to the enterprise. If you can make full use of cutting-edge
technology algorithms such as big data modeling and neural networks to predict in advance, you
can make predictive maintenance and early warning before machine equipment fails, so as to
avoid a series of possible problems as much as possible.
The emergence of predictive maintenance also benefits from more efficient communication
networks, more sophisticated sensors, and powerful computing platforms capable of processing

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large-scale data.
Predictive maintenance generally collects and analyzes real-time data of equipment through
sensors to predict when failures may occur. Therefore, it is necessary to install a variety of
monitoring and sensing devices in the smart factory.
Although the current artificial intelligence solutions cannot fully meet the requirements of the
manufacturing industry, as general technology, the integration of artificial intelligence and
manufacturing is the general trend. The future transformation and upgrading of the
manufacturing industry will also be applied to cloud computing and big data, the Internet of
Things, artificial intelligence, etc.
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