Blast furnace condition intelligent evaluation method and system based on big data
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 qual...
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Main Authors | , , , , , , , , |
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Format | Patent |
Language | Chinese English |
Published |
29.03.2024
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Subjects | |
Online Access | Get full text |
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Summary: | 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 |
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Bibliography: | Application Number: CN202311827068 |