With the rapid development of the petrochemical industry, the production of petrochemical forgings is facing more and more challenges, such as fierce market competition, the rise of production costs, and the improvement of environmental protection requirements. In order to meet these challenges, enterprises need to use big data analysis technology to build a decision support system for petrochemical forgings production based on big data analysis to improve production efficiency, reduce costs, optimize resource allocation, and make more scientific and reasonable decisions. This paper discusses how to build a decision support system for petrochemical forgings production based on big data analysis.
Application of big data analysis in the production of petrochemical forgings
Production process monitoring and optimization: Through real-time monitoring of various data in the production process and the use of big data analysis technology, the production process can be optimized to improve production efficiency and product quality.
Equipment maintenance and fault prediction: Through the analysis of equipment operating data, you can find the abnormal situation of the equipment in time, predict the time and type of equipment failure, repair and replace the equipment in advance, and avoid production interruption and equipment damage.
Production planning and scheduling: Through the analysis of historical sales data and market trends, combined with the production capacity and inventory of the enterprise, a more scientific and reasonable production planning and scheduling scheme can be developed.
Energy management: Through the analysis of energy consumption data, the causes of energy waste and energy saving potential can be found, and targeted energy-saving measures can be developed to reduce energy costs.
Quality control: By analyzing product quality data and key factors in the production process, product quality can be accurately controlled to improve product pass rate and customer satisfaction.
Construction of decision support system for petrochemical forgings production based on big data analysis
Data acquisition and integration: Collect all kinds of data in the production process of petrochemical forgings, including production process data, equipment operation data, sales data, energy consumption data, etc., and integrate and clean.
Data storage and processing: The use of big data storage and processing technologies, such as distributed file systems, parallel computing, etc., to store and process data to support subsequent data analysis and decision support.
Data analysis and mining: Using big data analysis and mining technologies, such as data mining and machine learning, to conduct in-depth analysis and mining of data, extract valuable information and knowledge, and provide support for decision-making.
Decision support system: Based on the data analysis results, the petrochemical forgings production decision support system is constructed, including production process optimization, equipment maintenance and fault prediction, production planning and scheduling, energy management and quality control and other modules, to provide decision support and guidance for management and operations.
System integration and interface: Integrate and dock the decision support system with other production management systems, ERP systems, etc., to achieve data sharing and collaborative work, and improve the overall management efficiency and decision-making effect.
Continuous improvement and optimization: According to the actual operation and user feedback, the decision support system is continuously optimized and improved to improve the reliability and practicability of the system.
The construction of decision support system for petrochemical forgings production based on big data analysis is of great significance for improving production efficiency, reducing cost and optimizing resource allocation. By using big data technology to conduct in-depth analysis and mining of various data in the production process, it can provide more scientific and reasonable decision support and guidance for the management and operation layers, help enterprises to cope with the challenges of market competition and achieve sustainable development. In the future, with the continuous development and improvement of big data technology, the petrochemical forgings production decision support system based on big data analysis will have more innovations and applications.
