Development status and prospect of smart manufacturing of sintering system
In order to improve the smart manufacturing level of the sintering process,the application of parameter prediction,image recognition,process control and system platform in the sintering process is comprehensively discussed with the big data as the core clue.The prediction of process parameters effectively improves the production efficiency and ensures the quality of sinter.Image recognition technology gives machines an ability to"perceive",enabling them to plan and classify information scientifically and effectively.The application of moisture,accessory and endpoint control of the intelligent control system of sintering has significantly improved the production efficiency and product quality,and laid a solid foundation for the intelligent development of the sintering process and the sustainable progress of the steel industry.The real-time data analysis of the big data platform of sintering ensures the timeliness and effectiveness of the data,provides a scientific basis for the sintering production of the enterprise,and improves the accuracy and operation speed.Under the guidance of the big data,the smart manufacturing level of the sintering process has been significantly improved,and the production efficiency and sinter quality of the enterprise have been effectively guaranteed.The rapid development of intelligent control technology has made the transformation and upgrading of the steel industry towards intelligent manufacturing an inevitable trend.
sintering systemsmart manufacturingparameter predictionimage recognitionintelligent control
万方数据
维普
