Design of the Cigarette Process Quality Monitoring System Based on Micro services and GRU
In response to the low automation level in traditional cigarette manufacturing process quality warning systems,this pa-per proposes a cigarette process quality warning system based on microservices and Gated Recurrent Unit(GRU).The system adopts the Spring Cloud microservice architecture,which is composed of the data resource layer,microservice components,business layer,and gateway layer,meeting the integration requirements in various scenarios.A monitoring database for cigarette production proces-ses is presented,and an attention mechanism is integrated to improve the GRU and construct the cigarette process quality warning model,which makes a comparative analysis with traditional methods such as logistic regression,support vector machine,and the GRU.Experimental results demonstrate that the proposed warning model achieves an average absolute error of 0.381 and a root mean square error of 0.570.The predictive performance and efficiency of the method are superior to those of other ones,effectively reali-zing process quality warning and enhancing the automation level of cigarette processing.
万方数据
维普
