On February 26, the Ministry of Industry and Information Technology issued the Implementation Plan for Improving Data Security Capabilities in the Industrial Field (2024-2026) (hereinafter referred to as the “Plan”). The “Plan” focuses on improving the three types of capabilities of industrial enterprise data protection, data security supervision, and data security industry support, and clearly puts forward 11 tasks.

The release of this document represents the acceleration of the construction and supervision of data security in China’s industrial field, and is also expected to promote the rapid advancement of data security management in other industries.

Industrial big data has huge potential

8440-1801 Industrial data is a basic strategic resource, an important driving force for industrial economic development, and contains huge potential.

Zhu Min, director of the Institute of Informatization and Industrialization Integration of the China Academy of Information and Communications Technology, believes that the integration of data and industrial industry is reflected in three aspects: data-driven research and innovation efficiency improvement, production efficiency improvement, and industrial chain resource allocation efficiency improvement.

At present, product development driven by data has 8440-1801 become a reality. For example, within the Midea Group, digital planning is applied, and the R & D department conducts user demand insight, user population characterization, appliance trend identification and innovation opportunity mining through big data to help the business department understand the market and users more quickly and comprehensively, and quickly launch new appliances to achieve business growth.

Zhongke Environmental Protection began to see a substantial increase in revenue in 2021, and the company’s performance growth rate was higher than that of the same industry. The company said that this is mainly based on the company’s many years of operating experience and technical strength, and continue to strengthen the fine control, as a breakthrough to improve quality, reduce costs and increase efficiency, to promote the company’s green high-quality development.

At present, Zhongke 8440-1801 Environmental Protection has achieved full coverage of data network in all operational projects, and can achieve efficient data statistics, automatic analysis and intelligent early warning functions. At the same time, the latest technologies such as digital sensing and transmission network are used for intelligent upgrading and process control optimization, so as to implement intelligent upgrading and transformation of some key application scenarios and further improve operational efficiency.

It is true that industrial big data has been applied to many scenarios such as enterprise production process optimization, quality control, supply chain management, and enterprise business decision-making, but it still faces a series of problems in circulation.

On the one hand, the ownership of circulating data is difficult to 8440-1801 confirm. Many industrial data are produced by multiple enterprises or organizations, and the ownership of the data is difficult to determine. On the other hand, the industrial data classification and grading standard is not strong in practice, and the specific classification and grading rules for more scenes and industry data are not yet landable.

In addition, the immature application of industrial data elements flow technology is the root cause of “several flow immobility”, and there is still a blank in the application guarantee, technical route, and system tools of industrial data elements. According to the survey of the Industrial Internet Industry Alliance, nearly 80% of enterprises are afraid to carry out data sharing circulation, and the reasons include the disclosure of trade secrets, the uncontrolled circulation scope, and the lack of technical security.

It is reported that this “program” is a programmatic planning document to guide the data security work in the industrial field in the next three years. The Ministry of Industry and Information Technology requires that by the end of 2026, the data security system in the industrial field will be basically established. The supporting capacity of data security technology, products, services and talents has been steadily improved.

Key indicators include: basically achieve the full coverage of enterprise data security requirements on the regulations of various industries; More than 45,000 enterprises have carried out data classification and classification protection, covering at least the top 10% of industrial enterprises with annual revenue in the provinces (autonomous regions and municipalities). Project development of data security national, industry, group and other standards and norms not less than 100; Select no less than 200 typical data security cases, covering no less than 10 industries; Data security training covered 30,000 people, and trained more than 5,000 industrial data security talents.