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“AI +” Initiative Unlocks New Opportunities for Intelligent Development of the Manufacturing Industry
                складальна машина

For manufacturing enterprises, with the introduction and implementation of the Opinions on Further Implementing the “AI +” Initiative (hereinafter referred to as the “Opinions”), it will bring far-reaching impacts on the intelligent development of enterprises. It will promote the intelligent linkage of all industrial factors and their application in all links, and drive the intelligent linkage of all industrial factors.

 

The next one to two years will be a critical window period for the implementation of AI in all walks of life!

 

Recently, the State Council issued the Opinions on Further Implementing the “AI +” Initiative, aiming to further promote the broader and deeper integration of AI with various industries and fields.

 

The Opinions clearly propose to strengthen basic research on AI and key technological breakthroughs, accelerate the transformation and application of AI innovation achievements, promote the intelligent upgrading of traditional industries, foster and expand emerging AI industries, and build an open and collaborative AI innovation system.

 

It clarifies the overall requirements, development goals and key directions for implementing the “AI +” Initiative, and will focus on accelerating the implementation of the “AI +” Initiative in six major aspects: “AI +” science and technology, “AI +” industrial development, “AI +” consumption quality improvement, “AI +” people’s well-being, and “AI +” global cooperation.

 

For manufacturing enterprises, the introduction and implementation of the Opinions will have a far-reaching impact on their intelligent development:

 

Promoting Intelligent Linkage of All Industrial Factors and Their Application in All Links

 

The Opinions propose to promote the intelligent linkage of all industrial factors and accelerate the implementation and application of AI in all links including design, pilot-scale test, production, service and operation.

 

This will promote the intelligent upgrading of all links in the manufacturing industry, break down data silos, and realize the intelligent collaboration between various factors, thereby improving the production efficiency and quality of the entire manufacturing industry.

 

For the development of enterprises, with the assistance of AI, the industrial design link can realize more efficient scheme design and optimization, and shorten the product development cycle; the pilot-scale test link can use intelligent systems to simulate and predict the production process, and identify and solve potential problems in advance; the production link will introduce intelligent robots, automated equipment, etc., to achieve precise control and efficient execution of the production process. For example, in the mass production scenario of springs, the Automatic Spring Tray Arrangement equipment can rely on AI visual recognition technology to detect the specifications and postures of springs in real time, plan the optimal arrangement path through intelligent algorithms, and cooperate with robotic arms to complete the orderly stacking of springs on trays. This not only increases the arrangement efficiency by 40%, but also ensures that the error in the number of springs per tray is controlled within ±1, solving the problems of low efficiency and easy confusion in traditional manual arrangement; the operation link can use tools such as big data analysis and intelligent decision support systems to optimize resource allocation and improve operation efficiency.

 

Accelerating Innovation in Industrial Software and Equipment

 

The Opinions propose to accelerate breakthroughs in industrial software innovation and vigorously develop intelligent manufacturing equipment.

                 складальна машина

Industrial software and intelligent manufacturing equipment are important supports for the intelligentization of the manufacturing industry. Strengthening the innovation and application of industrial software and intelligent manufacturing equipment will greatly improve the level of intelligent collaboration in the industrial supply chain. Through industrial software, enterprises can realize the digital modeling and simulation of the production process, optimize production planning and scheduling, and improve the transparency and response speed of the supply chain. Through the application of intelligent manufacturing equipment such as intelligent robots and automated production lines, production efficiency and flexibility will be greatly improved, manual intervention will be reduced, and production costs will be lowered.

 

Deepening Integration with Industrial Internet

 

The Opinions propose to deepen the integrated application of AI and industrial Internet, and enhance the intelligent perception and decision-making execution capabilities of industrial systems.

 

The industrial Internet provides a data platform and network support for AI, and the integration of the two will further improve the intelligent level of the manufacturing industry, and realize real-time monitoring, intelligent decision-making and optimized control of the production process.

 

The wide application of the industrial Internet enables the real-time collection and analysis of a large amount of data in the production process, providing rich training and optimization resources for AI algorithms.

 

Through the industrial Internet platform, enterprises can build intelligent prediction models to predict key information such as equipment failures and market demand, so as to take countermeasures in advance and reduce operational risks. At the same time, the application of AI technology also enables the industrial Internet platform to better understand and analyze data, tap deeper value, and provide strong support for enterprise decision-making.

 

Conclusion: The series of measures proposed in the Opinions will strongly promote the manufacturing industry to move towards a more intelligent and efficient direction, and open up broader development space for manufacturing enterprises. At the same time, this will also promote the transformation and upgrading of the industrial field from “experience-driven” to “intelligent decision-making”.

 

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