How should the hottest manufacturing industry reco

2022-08-14
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How should the manufacturing industry recognize and treat big data

Abstract: the manufacturing industry is also the source of big data. Once the manufacturing industry is further digitalized, the data generated in the production process easily belongs to the scope of big data, and its data volume, mold temperature, melt temperature, etc. must also change. The frequency and type of production are very challenging and attractive from the perspective of it

traditionally, manufacturing is not an industry with highly developed informatization, which is reflected in the traditional and rough process of most manufacturing industries, even with modern equipment, The overall informatization scheme is also an international standardization agency in the non electromechanical field, and most of it comes from equipment manufacturers (itself is sometimes regarded as a high-tech industry, such as semiconductor equipment manufacturers such as applied material, and semiconductor OEM manufacturers such as TSMC). However, in the era of big data, it seems that this is not an absolute bad thing. It is like that China's telecommunications industry directly jumps over the fixed line business that the United States has spent hundreds of years to develop and directly jumps to the mobile business, which has rapidly improved the communication level and communication experience of the Chinese people. The telecommunications operators represented by China Mobile have also rapidly jumped to the top operators in the world. In the era of big data, they have quickly become the leading players of big data

how should the manufacturing industry recognize and treat big data

I think China's manufacturing industry needs to have the following understanding of big data

1. The manufacturing industry needs Digitization: Digitalization will bring more accurate and advanced processes and better products to the manufacturing industry. This concept can complement the overall level of China's manufacturing industry before this

2. The manufacturing industry is the source of big data. Once the manufacturing industry is further digitalized, the data generated in the production process easily belongs to the scope of big data. Its data volume, generation frequency and type are very challenging and attractive from the perspective of it. A semiconductor production machine can easily generate terabytes of data in one day, so the data accumulated in several years is at the Pb level. If this data is analyzed and studied, it is a real big data problem

3. In terms of the manufacturing industry itself, the digital manufacturing represented by the German slogan "industry 4.0" and the information-based products represented by IOT will occupy an important platform topic in the manufacturing industry. Enterprises without layout in this regard may soon be classified as "traditional manufacturing", thus facing the inevitable challenge of being eliminated in the history of the industrial revolution

4. The manufacturing industry can achieve the ionic jump through the improvement of IT technology, especially the improvement of big data technology. Big data technology represents the new manufacturing industrial revolution, the landmark technology and key technology of industrial transformation. "Traditional manufacturing" can realize curve overtaking and rapid transformation through the improvement of IT technology

of course, the challenge of all this is the depth and thickness of big data talents. For big data 9 The lower fixture is the understanding of the oil box and the degree of adoption of big data technology

may China's manufacturing industry seize the opportunity, aim at the direction and achieve a leap

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