离散制造系统生产异常管控决策研究进展  

Research progress on management and control of abnormal production incidents in discrete manufacturing system

作　　者：马玉山 史彦军[3,4] 宁诗铎 李彦梅 马跃 MA YuShan;SHI YanJun;NING ShiDuo;LI YanMei;MA Yue(School of Mechanical Engineering,Ningxia University,Yinchuan 750021,China;Liupanshan Laboratory,Yinchuan 750021,China;School of Mechanical Engineering,Dalian University of Technology,Dalian 116024,China;State Key Laboratory of High-performance Precision Manufacturing,Dalian 116024,China)

机构地区：[1]宁夏大学机械工程学院,银川750021 [2]六盘山实验室,银川750021 [3]大连理工大学机械工程学院,大连116024 [4]高性能精密制造全国重点实验室,大连116024

出　　处：《中国科学:技术科学》2025年第3期397-422,共26页Scientia Sinica(Technologica)

基　　金：宁夏回族自治区重点研发计划(编号:2022BEE02002);“两区”科技发展计划(编号:2023LQ02004);国家重点研发计划(编号:2022YFE0114200)资助项目。

摘　　要：在智能制造的背景下,离散制造企业迫切需要提高异常生产过程的管控水平.因此,如何充分利用新一代信息技术实现对异常扰动情况的精准快速管控成为加速智能制造进程的关键问题.本文首先描述了生产异常管控的时序逻辑,明确了研究的核心问题;其次,深入探讨了对生产及异常的表征和建模手段,包括生产要素的表征、生产过程的建模以及对异常建模的现状等;再次,详细阐述了生产异常调度优化的流程,并对现有研究中的“感知-评估-调度-优化”方法进行了分析;然后,还研究了制造过程的闭环控制逻辑,包括数据采集、异常预测和实时控制等;随后,重点关注了新一代人工智能及信息技术在异常管控中的应用,探讨了其潜在优势和挑战;最后,基于当前的研究现状以及智能制造的需求,对异常管控技术未来的发展趋势进行展望.In the realm of intelligent manufacturing,discrete manufacturing enterprises are in urgent need of enhancing control levels in their production processes.Therefore,addressing the critical issue of leveraging next-generation information technology for precise and rapid control over disruptive events has become imperative to accelerate progress in intelligent manufacturing.This paper commences by elucidating the temporal logic behind production anomaly control,thereby clarifying the core research problem.Subsequently,it delves into characterizing and modeling production anomalies,encompassing representation of production elements,process modeling,and an overview of current anomaly modeling approaches.Furthermore,a detailed exposition is provided on the optimization of production anomaly scheduling while analyzing existing methods based on“perceive-evaluate-schedule-optimize”.Additionally,this paper explores closed-loop control logic within manufacturing processes that include data collection,anomaly prediction,and real-time control.Moreover,significant emphasis is placed on discussing the potential advantages and challenges associated with applying next-generation artificial intelligence information technology in anomaly control.Finally,considering the current research status and industry requirements for intelligent manufacturing systems,prospective future trends in anomaly control technology are presented.

关 键 词：异常管控 生产建模 生产调度 生产过程控制 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]