Today's digital wave is sweeping all industries, and more and more people have seen the great value of big data in traditional manufacturing.
Automobile, as the pearl in the crown of modern industry, coincides with the two winds of energy transformation and intelligence in recent years. Once regarded as a sunset industry, the automobile industry is rising a new digital sunrise.
Just as cloud computing can revolutionize the entire lifecycle of the automotive industry, from research and development through manufacturing to subsequent sales and user experience, the automotive industry can provide a variety of significant and valuable applications for cloud computing.
With Internet giants such as BAT and cloud computing head players such as Huawei betting in recent years, in the grand war of digital enabling automobile industry, can the automobile industry become an important base to release the value of cloud computing? It is worth analysing.
R&d and production end: digital twinning and know-how closed loop
BAT, as the Internet giant best at "infinite games", started to enter the manufacturing industry one after another several years ago and launched its own cloud computing business. As early as 17 years ago, Baidu first launched "AI Quality Inspector", and then extended a more diversified intelligent industrial quality inspection solution relying on cloud computing capacity, and launched the AI2B platform.
Alibaba, which is full of e-commerce and financial attributes, started from the clothing industry in 2018, and then based on its own cloud computing capacity continues to expand, has released ET industrial brain, SupET, Flying Dragon, Elephant industrial Internet platform and rhino factory and other products.
Compared with the former two volume weaker tencent, actually otherwise, also in 2018, tencent has formed a new enterprise group - cloud and wisdom industry enterprise group (CSIG), in the past two years, tencent is with foxconn, sany heavy industry and other manufacturing enterprises, north Ming software, donghua software software manufacturers such as the depth of the depth of cooperation for vertical industry launched integration solutions.
Why have giants rushed to cloud-powered manufacturing in recent years? Tan Qing says AI believes that digital enabling manufacturing has accelerated in the past few years, supported by multiple drivers:
First, the development of 5G network is booming, and the demand for implementation begins to appear, which catalyzes the cloud weather of manufacturing industry. Second, the rapid development of cloud computing head players, cloud computing in the manufacturing potential value of the rapid growth of the geographical position; Third, under the catalysis of the epidemic, the trauma of traditional manufacturing industry forces the industry to think about traditional manufacturing technology and methods.
Under the support of favorable conditions and favorable conditions, cloud computing, after several years of development, is no longer a simple linear point, but gradually expanded on the surface, is expanding from a single computing power to big data, AI, Internet of things, security, and the future manufacturing upgrading and China's economic transformation together.
Cloud computing, as the technological innovation of manufacturing upgrading, is becoming the key to compete for a new round of global manufacturing dominance. This force has spread to the automotive industry, where the value of cloud computing has risen above all in research and development.
Automotive R&D and digital Twinning:
The digital twin concept of this year's fire originated in the field of industrial manufacturing. In the process of product development, digital twin can build a virtual digital model of the product, carry out simulation testing and verification, and carry out "1:1" simulation operation of the real product considering the changes brought by parameter adjustment.
It is not difficult to find that mature digital twin technology can ensure the reliability and availability of products, reduce the cost and risk of product development and manufacturing, and perfectly achieve the purpose of cost reduction and efficiency increase for the research and development of the automotive industry.
Isn't digital twinning, one might ask, just a "simulator" to reduce the cost of physical research and development? What does cloud computing have to do with it?
In fact, digital twining is usually done in the cloud, and Siemens, the leader in digital twining, prefers to see digital twining as a purely cloud-based asset.
Tan Qing said that AI thinks, want to realize digital twin technology, is not in CAD crazy modeling can be done, want to run a digital twin, often need a huge scale of computing power and algorithm elasticity to support, this is cloud computing for digital twin is very basic and necessary. In addition, digital twin in the industrial Internet, intelligent manufacturing and other levels have a very considerable value.
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