Against the backdrop of the global wave of intelligent manufacturing, the casting industry is undergoing a profound transformation driven by digital technologies. AI will become the core force driving the upgrading and transformation of casting enterprises.
** DEEPENING TECHNOLOGY: The Deep Integration of AI and Industrial Internet
The enterprise utilizes the “Casting EMS System”, integrating functions such as production planning, process management, material tracking, quality analysis and equipment maintenance, to achieve digital, networked and intelligent management of the entire casting production process.
At the technical level, enterprises can deeply integrate AI algorithms with industrial internet technology to build a real-time data-driven process optimization system. This system can cover the entire production process from smelting and melting, pouring to heat treatment, and can collect and integrate data from each stage in real time. Through AI algorithms, it can automatically identify production bottlenecks and propose process optimization suggestions. For example, during the smelting and melting process, the system can automatically adjust the feeding speed and heating power based on real-time temperature and composition data, ensuring the stability of the melting quality. This closed-loop feedback mechanism significantly improves production efficiency and product quality, bringing significant economic benefits to foundry enterprises.
** INDUSTRY PRACTIECE: Helping Enterprises Reduce Costs and Enhance Efficiency
The MES system for casting has been successfully implemented in multiple manufacturing enterprises in the Yangtze River Delta region, achieving remarkable results. By adopting this system, enterprises not only successfully reduced energy consumption and emissions during the smelting process, but also improved the qualification rate and consistency of products, as well as realized real-time monitoring and precise control of the production process. The controllability of the production plan in the workshop has significantly improved, and the response time for production anomalies has been shortened by more than 30%.
In addition, the enterprise customized and developed the MES project, which solved the problem of process procedure control in multi-variety and small-batch production. Through the DNC program communication transmission and the ESOP electronic operation instruction function, the enterprise achieved online management and rapid transmission of process drawings, real-time collection and display of equipment status and operating parameters, significantly improving the production collaboration efficiency.
In the 2025 era of intelligent manufacturing, with the continuous maturation of technology and the continuous deepening of its application, it is believed that AI technology will lead casting enterprises towards a more intelligent and efficient future.
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