Research And Implementation Of Prediction Analysis Algorithm Based On Cloud Platform

The manufacturing the iron and steel is a multi-stage process. In this process, the iron will go through different processing steps and different stages are related and interacted with each other. Traditional process tends to use a combination of artificial rules and practical experience to make a general range of production parameters for each stage. Nevertheless, the artificial method has not been able to meet the high quality requirements of the product as manufacturing processes become more complex.Furthermore, current classification methods for products are relatively rough and need to be more detailed. In this paper, we propose a multi-stage optimal parameter analysis algorithm which can be applied to iron industry.The algorithm is aimed at making a more detailed division according to product characteristics. Moreover, it also can calculate the optimal production parameters for different stages, which would provide a certain guiding significance for actual production process.The major work in this paper will include the following points:(1)The researches and designs of mathematical model for multi-stage production parameters. Common data models in machine learning will be researched. And then a new model based on the dynamic network would be designed by combining with the characteristics of steel data, which would indicate the multi-stage process in steel production.(2) Coupling analysis in multi-stage production parameters. Based on the mathematical model of steel, the coupling relation at different stages would be analyzed through using the excitation vector and the mode vector proposed in the paper. After that, utilizing the coupling relation cluster the production parameters for each phase, thereby dividing a single product into multiple products.(3) The construction algorithm for production parameter path with high quality. In the basis of dividing into a variety of productions, users would find high-quality production path from historical production data, providing some guiding significance.(4) Design and implementation of visualization tools of production parameter path. For the constructed high-quality production data parameter path, a set of browser display method base on B/S model would be achieved.(5) Design and implementation of multi-stage parametric analysis system for iron and steel industry. This paper will implement a multi-state parameter analysis system that will cluster relevant core algorithms mentioned in the paper and then develop corresponding user interaction interface, helping users to use the system better and efficiently.