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the application scenarios of ai empowering industrial manufacturing mainly focus on three aspects:1. optimize production process: ai technology can accurately predict abnormalities during the production process and automatically adjust production parameters to ensure stable operation of the production line. for example, the ai ​​system can identify abnormalities in the production process based on real-time collected data, and automatically adjust production parameters to achieve precise control of the production process.

2. improve product quality: through deep mining of massive design data through machine learning algorithms, we can discover potential design rules and optimization space. ai technology can assist product development and design, achieving rapid iteration and optimization. for example, in the recipe research and development stage, ai combined with ar technology builds a virtual recipe research and development environment to achieve rapid iteration and optimization of recipes.

3. optimize after-sales service: ai technology can establish an intelligent operation and maintenance platform to realize remote monitoring, fault diagnosis and predictive maintenance of equipment. through big data analysis technology, the ai ​​system can monitor equipment operating data in real time and analyze potential faults, and provide corresponding maintenance suggestions, effectively reducing operation and maintenance costs and improving customer satisfaction.

as industrial manufacturing transforms towards intelligence and digitalization, the application of ai technology is accelerating the upgrading and innovation of the manufacturing industry. however, enterprises also face many challenges in the process of realizing intelligent transformation. first of all, the informatization foundation, business models and transformation needs of different industries vary greatly, making it difficult to find a completely universal solution. secondly, existing information systems are diverse and complex. how to effectively integrate these systems with intelligent technology to achieve data interoperability and business process reengineering has become another major problem faced by enterprises. finally, the application of ai technology requires a large amount of capital investment and talent training, which places higher demands on the financial strength and talent reserves of enterprises.

all in all, with the continuous development and application of ai technology, the manufacturing industry will usher in new development opportunities. in order to better cope with challenges, companies need to actively explore, try and practice in order to win market competitiveness in the future.