Blast furnace condition intelligent evaluation method and system based on big data

• Main Authors: ZOU RUIPING, CUI JIAXIN, E DIANYU, ZHAO BIN, WANG XIAOYI, LIU YUWENLONG, CAO SHENGFU, JIANG YOUYUAN, DAN JIAYUN
• Format: Patent
• Language: Chinese; English
• Published: 29.03.2024
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; ELECTRIC DIGITAL DATA PROCESSING; PHYSICS; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

The invention relates to the technical field of data science and industrial intelligence, in particular to a blast furnace condition intelligent evaluation method and system based on big data, and the method comprises the following steps: based on blast furnace operation data, carrying out data quality information collection by adopting a Z-score normalization method, and generating a standardized record data set; according to the method, the data processing quality and efficiency are improved through Z-score normalization and deep learning technologies, the data representation capability is enhanced through multi-dimensional feature extraction and multi-view fusion, accurate mode recognition and prediction are provided through a support vector machine and a random forest, the real-time monitoring and response speed is improved through edge calculation and online learning, anomaly detection is achieved, and the method is suitable for large-scale popularization and application. The genetic algorithm and the an