基于多源异构信息自适应融合的镁砂熔炼过程运行状态评价  

Process operating performance assessment for magnesium melting processbased on adaptive fusion of multi-source heterogeneous information

作　　者：刘炎[1] 熊雨露 褚菲 王福利[1] Liu Yan;Xiong Yulu;Chu Fei;Wang Fuli(College of Information Science&Engineering,Northeastern University,Shenyang 110819,China;School of Information and Control Engineering,University of Mining and Technology,Xuzhou 221116,China)

机构地区：[1]东北大学信息科学与工程学院,沈阳110819 [2]中国矿业大学信息与控制工程学院,徐州221116

出　　处：《仪器仪表学报》2023年第9期320-335,共16页Chinese Journal of Scientific Instrument

基　　金：国家重点研发计划(2021YFF0602404);国家自然科学基金(62073060,61973057,61973304);高层次人才项目(DZXX-045)资助。

摘　　要：本文针对镁砂熔炼过程中的电流、声音和图像信息,提出了一种基于多源异构信息自适应加权融合的过程运行状态评价方法。首先,针对镁砂熔炼过程中的多源异构信息进行数据预处理,采用深度学习方法建立基于不同信息的运行状态评价子模型;其次,利用注意力机制建立各子模型决策层自适应融合网络,以综合分析不同熔炼状态下的多源异构信息对评价结果的影响;最后,将融合结果输入SoftMax分类器,建立镁砂熔炼过程运行状态评价模型。仿真结果显示,相比于仅依赖单一种类信息建立的评价模型以及现有的深度学习多源异构信息评价模型,本文所提方法综合考虑多源异构信息的共同作用,基于仿真平台数据与实际生产数据的评价准确率分别达99.5%与98.44%,优于其他被比较的方法,验证了所提方法的有效性和优越性。In this article,a new operating performance assessment method based on adaptive fusion of multi-source heterogeneous information(AFMSHI)is proposed for magnesium melting process.First,the data pre-processing is performed for the multi-source heterogeneous information(MSHI)in the process of magnesium melting,and deep learning methods are used to formulate performance assessment sub-models based on different types of information.Secondly,to fully consider the impacts of MSHI on the assessment results under different melting states,the attention mechanism is used to establish an adaptive fusion network for the assessment results of each sub-model.Finally,the fused assessment results are input into a SoftMax classifier,and the magnesium melting process assessment model is formulated.The simulation results show that,comparing with the assessment model established by a single type of information or the existing deep learning MSHI assessment methods,the assessment accuracy of AFMSHI based on simulation platform data and actual production data reached 99.5%and 98.44%,respectively,which is higher than the compared methods by comprehensively considering the roles of MSHI.The effectiveness and the superiority of the proposed method are verified.

关 键 词：镁砂熔炼过程 多源异构信息 过程运行状态评价 评价子模型 注意力机制 

分 类 号：TP13[自动化与计算机技术—控制理论与控制工程] TH17[自动化与计算机技术—控制科学与工程]