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Application of trusted computing technology in intelligent manufacturing

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2023-06-11 12:49:37764browse

With the continuous advancement of the industrialization process, intelligent manufacturing has become an important direction of industrial development. Intelligent manufacturing relies on a large number of high-tech technologies such as artificial intelligence and the Internet of Things, which not only improves production efficiency, but also effectively reduces production costs, and provides stronger support for the improvement of product quality and the growth of production capacity. In intelligent manufacturing, the application of trusted computing technology must be mentioned.

Trusted computing technology refers to technology that ensures the safety, reliability, checkability and non-tamperability of the computing process through various means such as hardware, software, and algorithms. Nowadays, in the field of intelligent manufacturing, the application of trusted computing technology has been widely promoted. The application of trusted computing technology in intelligent manufacturing will be introduced from the following three aspects.

1. Safety precautions in intelligent factories

Although intelligent manufacturing realizes industrial automation and intelligence, it also brings a series of security risks. For example, viruses and destruction, industrial hacker attacks and other threats. It can be said that safety is the key foundation for realizing intelligent manufacturing. Trusted computing technology can protect data in the intelligent manufacturing process through technical means in hardware and software, thereby ensuring the production safety of the factory.

Take the existing trusted computing platform on the market as an example. It uses complex cryptography technology and adopts methods such as cryptographic co-processors and two-factor authentication to protect the startup process and system of the operating system. The execution process of the kernel. These measures can effectively prevent hacker attacks and respond promptly to external threats, thereby ensuring the security of smart factories.

2. Intelligent manufacturing data privacy protection

With the development of the industrial Internet, a large amount of data must be collected, processed and stored in intelligent manufacturing. These data include machine operating data, sensor data, factory management data, etc., and their sensitivity and security are very important. If confidential data is leaked, it will have unpredictable consequences on factory production and equipment stability.

Trusted computing technology can help achieve data privacy protection, ensure the security and controllability of data during collection, storage and processing, and implement technical means such as access control during data processing, thereby Ensure data confidentiality and integrity. At the same time, trusted computing technology also has its advantages in dealing with traceability data and quality standards.

3. Safe and reliable intelligent terminal applications

In intelligent manufacturing, not only manufacturing equipment requires intelligent collaboration, but also the equipment on the production line needs to be intelligently controlled. Therefore, in intelligent manufacturing, intelligent terminal equipment has become an important application. Trusted computing technology can enhance the security and reliability of smart terminal devices. In embedded control systems, trusted computing technology can provide a safer and more reliable implementation and can screen improper data.

In short, with the continuous development of trusted computing technology, it not only provides basic support for the new generation of intelligent manufacturing, but also provides strong support for the formation of a more secure manufacturing environment. Furthermore, the application of trusted computing technology will also help improve the flexibility and response speed of intelligent manufacturing production lines, and is expected to face a wider range of application scenarios in future development.

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