信息通信技术与政策 ›› 2022, Vol. 48 ›› Issue (4): 66-75.doi: 10.12267/j.issn.2096-5931.2022.04.012
技术与标准 上一篇 下一篇
李琦琦, 孙银, 杨潇, 郑弯弯
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摘要:
通过对国内外现有智能制造评估模型的研究,结合重庆制造业行业领跑者与落后者之间差距大的现状,以实现全要素全连接的数字化工厂为出发点,融合工业互联网标识,构建实践可行的智能工厂评估模型推动中小型企业参与智能制造转型,缓和两极分化问题。本评估模型包含工厂体系架构的3个层级,提供用于推动智能制造转型的参考,包括设计、生产、管理的全过程评估。
关键词: 智能制造评估模型, 智能制造转型, 全连接工厂, 工业互联网标识
Abstract:
An assessment model of smart factory was developed based on the research of existing assessment models of intelligent manufacturing domestically and internationally, as well as the vast gap between the leaders and the laggards in the manufacturing industry of Chongqing. Using industrial Internet identifiers, the model aims to create a fully-connected digital factory, promote small and medium-sized enterprises to take part in the transformation of smart manufacturing and ease the polarization problem. In detail, the model includes three levels of factory system architecture, which covers the entire process of design, production, and management and makes it easier to promote the transformation of intelligent manufacturing.
Key words: assessment model of smart factory, transformation of smart manufacturing, fully-connected digital factory, Industrial Internet identifier
中图分类号:
F426.4
李琦琦, 孙银, 杨潇, 郑弯弯. 智能工厂评估模型研究*[J]. 信息通信技术与政策, 2022, 48(4): 66-75.
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http://ictp.caict.ac.cn/CN/10.12267/j.issn.2096-5931.2022.04.012
图2 我国灯塔工厂分布
图1 各国灯塔工厂数量
表1 现有智能工厂评估的相关标准
图3 智能工厂评估模型构成
表2 基础设施层指标构成(带*为标识相关部分)
表3 智能设计层指标构成
表4 智能生产层指标构成(带*为标识相关部分)
表5 智能物流层指标构成(带*为标识相关部分)
表6 工厂管控层指标构成(灰色背景为标识相关部分)