This paper discusses the production optimization strategy of mechanical forgings based on big data. This paper first introduces the application value and current situation of big data in the production of mechanical forgings, and then expounds the methods of collecting, analyzing and mining production data through big data technology. Then, it describes in detail how to use big data to optimize all aspects of mechanical forging production, including production planning, process parameter optimization, equipment maintenance and quality management. Finally, the significance and prospect of production optimization strategy of mechanical forgings based on big data are summarized.
With the advent of the Industry 4.0 era, big data technology is changing the production mode of the traditional machinery manufacturing industry. As a key component in the process of mechanical manufacturing, the production process of mechanical forging involves many factors and links. Through the application of big data technology, various data in the production process of mechanical forgings can be collected, analyzed and mined in real time, providing scientific basis for production optimization. This paper will discuss how to realize the optimization strategy of mechanical forging production based on big data technology.
Big data technology can be applied to the following aspects in the production of mechanical forgings:
Production data collection: Through the Internet of Things technology, real-time monitoring of various parameters in the production process of mechanical forgings, such as temperature, pressure, deformation, etc., and data transmission to the big data platform.
Data analysis and mining: Use big data analysis technology to process and analyze the collected production data to find out the key factors and potential problems affecting the quality of mechanical forgings.
Production plan optimization: Through the analysis of historical production data and market demand, forecast the product demand in the future period of time, reasonable arrangement of production plans, reduce inventory costs.
Process parameter optimization: Through big data analysis, find out the best combination of process parameters, improve the forming quality and production efficiency of mechanical forgings.
Equipment maintenance: Analyze equipment operation data, predict the time and type of equipment failure, and develop preventive maintenance plans to reduce equipment downtime.
Quality management: Through big data analysis, real-time monitoring of product quality fluctuations, timely detection and treatment of quality problems, improve product pass rate.
Implementation steps of optimization strategy for mechanical forging production based on big data
Build a big data platform: Build a big data platform suitable for the production of mechanical forgings to achieve real-time data collection, storage and processing.
Data cleaning and preprocessing: Clean and preprocess the collected original data, eliminate outliers and noise, and improve data quality.
Establish analysis model: Using data mining and machine learning technology, establish analysis model suitable for mechanical forgings production, such as regression analysis, neural network, etc.
Production process monitoring and optimization: real-time monitoring of production process data, combined with analysis models to optimize and adjust the production process, to achieve controllable and stable production process.
Continuous improvement and feedback: Through regular evaluation of the implementation effect of production optimization strategy, find and solve existing problems, and continuously improve the production process to form a virtuous cycle.
The production optimization strategy of mechanical forgings based on big data is of great significance for improving production efficiency, reducing cost and improving product quality. The realization of comprehensive perception, precise control and optimal decision-making of the production process of mechanical forgings through big data technology will provide strong support for the transformation and upgrading of the machinery manufacturing industry. Looking forward to the future, with the continuous development of big data technology and the deepening of application, the production of mechanical forgings will usher in a more intelligent and efficient development stage, and contribute to the progress of industrial manufacturing.
