机电工程技术2025，Vol.54Issue(12)：70-75,6.DOI:10.3969/j.issn.1009-9492.2025.12.009
知识数据协同驱动的工业大脑及实现关键技术综述
Review of Knowledge-based and Data-driven Industrial Brain Architecture and Key Technologies
摘要
Abstract
As an important infrastructure for promoting new industrialization,the industrial brain has broad application prospects,.The key to implementing the industrial brain is to integrate data with industry knowledge and mechanisms,form a decision-making loop,and ultimately improve the level of intelligent manufacturing.An intelligent decision-making system driven by knowledge and data integration is studied,and an architecture of the industrial brain is designed,which including four major systems:multidimensional perception,comprehensive cognition,intelligent decision-making,and precise execution.By aggregating heterogeneous and autonomous dispersed data resources and utilizing knowledge and data integration driven algorithms,comprehensive understanding,precise decision-making,and real-time feedback of industrial scenes are achieved,and continuously iterates and optimizes to form an intelligent decision-making system for complex industrial scenes.Then key technologies of the industrial brain are discussed,including real-time perception based on 5G,comprehensive cognition based on data iteration governance,and decision-making and execution based on"cloud network edge end"collaboration.At last,typical application scenarios and subsequent research directions of the industrial brain are summarized,which helps build new quality productive forces in the industrial field.关键词
工业大脑/智能决策/知识/数据/协同驱动Key words
industrial brain/intelligent decision-making/knowledge/data/integration-driven分类
信息技术与安全科学引用本文复制引用
姜元,陈杰浩,李科,张红军,龚龑..知识数据协同驱动的工业大脑及实现关键技术综述[J].机电工程技术,2025,54(12):70-75,6.基金项目
国家自然科学基金重大研究计划(92067203) （92067203）
国家重点研发计划(2022YFB2702800) （2022YFB2702800）
