Forging forming -- English · 2023年9月27日 0

Innovation and application of wind power forging production mode based on big data

With the rapid development of the wind power industry, the production of wind power forgings has become one of the important links. In order to improve production efficiency, reduce costs and improve product quality, technology based on big data is being introduced into the production of wind power forgings to achieve innovation and application of production models. This paper will focus on the innovation and application of big data in the production mode of wind power forging.

First, the application of big data in wind power forging production

Big data has a wide application prospect in wind power forging production. First of all, through the use of big data technology for real-time monitoring and data collection of the production process, it can achieve a comprehensive grasp of the production process and improve production efficiency and quality. Secondly, big data technology can provide decision support for production management through the analysis and mining of historical data, optimize the production process, and reduce energy consumption and scrap rate. In addition, big data can also be applied to product design and performance optimization to improve product quality and reliability through the analysis and simulation of large amounts of data.

Second, wind power forging production model innovation

There are some problems and bottlenecks in the current production mode of wind power forging, such as low production efficiency, unstable product quality and high production cost. In order to solve these problems, based on the support of big data, the production model of wind power forgings can be innovative from the following aspects:

Digital design: Through the introduction of big data technology, the digital design of products can be achieved and the design efficiency and accuracy can be improved. Through the analysis and mining of historical data, the performance and reliability of products can be predicted, and the optimization suggestions for product design can be provided.
Intelligent manufacturing: Through real-time monitoring and data acquisition, the production process can be fully digitized and intelligent. Through the analysis and optimization of production data, production efficiency and quality can be improved, and energy consumption and scrap rate can be reduced.
Lean production: Through the support of big data technology, lean production model can be realized. Through real-time monitoring and analysis of production data, problems can be found and solved in time to improve production efficiency and product quality. At the same time, big data technology can also provide decision support for production management, optimize production processes and plans, and reduce inventory and costs.

  1. Application cases of big data in wind power forging production

In practical applications, big data has achieved remarkable results in the production of wind power forgings. For example, after the introduction of big data technology, a wind power forging production enterprise has realized a comprehensive digitalization and intelligent monitoring of the production process. Through the analysis and mining of historical data, the enterprise found the key factors affecting product quality and took corresponding improvement measures. After a period of operation, the production efficiency of the enterprise has been increased by 30%, the scrap rate has been reduced by 25%, and the cost has been effectively controlled.

Another case is the introduction of digital design technology by a wind power forging manufacturer, which improves the efficiency and accuracy of product design through big data analysis. Through real-time monitoring and data acquisition, the company has achieved a comprehensive grasp of the production process, optimized the production process, and reduced energy consumption and scrap rate. After the improvement, the production efficiency of the enterprise has increased by 20%, and the product quality has also been significantly improved.

Iv. Conclusion

This paper discusses the importance and innovative significance of big data in wind power forging production from introduction, application of big data in wind power forging production, innovation of wind power forging production mode, and application cases of big data in wind power forging production. Through the introduction of big data technology, the digital design, intelligent manufacturing, lean production and other goals of wind power forging production can be achieved, improve production efficiency and quality, reduce costs and energy consumption, and provide strong support for the rapid development of wind power industry.