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《工程(英文)》 >> 2021年 第7卷 第9期 doi: 10.1016/j.eng.2021.04.022

一种基于数字孪生云平台的炼铁过程智能优化服务

The State Key Laboratory of Industrial Control Technology & College of Control Science and Engineering, Zhejiang University, Hangzhou 310027, China

收稿日期: 2020-07-14 修回日期: 2021-09-18 录用日期: 2021-04-02 发布日期: 2021-07-24

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摘要

工业过程多目标优化研究因算法和设备的不完善,已经大幅限制了工业过程的智能化发展。为了提升流程工业过程的操作水平,本文提出了一种基于云服务平台和分布式系统的混合智能优化框架。在这个智能优化系统中,工业实时数据首先暂存于本地服务器,经过清洗整理后上传至云数据库中;然后在可拓展的云平台上部署分布式系统用于运行智能优化算法;最后将基于深度学习和进化算法的多目标混合优化算法打包上传至云计算平台。通过将多目标优化服务运行于数字孪生云上工厂,钢铁厂高炉铁水产量增加了83.91 t·d﹣1,焦炭比降低了13.50 kg·t﹣1,硅含量平均降低了0.047%。

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