流程工业数字工厂建设的标准化——以石油化工行业为例
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摘要
目前国内流程工业数字化标准体系尚未成形,数字化国家和行业标准内容落后于数字技术的发展,由于缺少宏观技术指导,数字工厂技术仍然处于分散、局部的应用状态。制造业在数字化转型过程中面临着各种问题和挑战,但其背后的核心问题却是管理,数字工厂给企业带来的变革首先应该是管理变革。数字工厂应包含静态数据和动态数据两部分内容,并最终实现信息世界层面与物理工厂的数字孪生。建立数字工厂系统的基本要求是:功能一致性、结构相似性、组织的柔性、集成化、智能化、可视化。关键技术包括建模技术、仿真技术、基于仿真的优化技术以及集成和交互技术。以500×10~4t/a石油化工厂为例,石化行业的数字工厂体系标准框架主要包括工厂分解结构、信息编码规则、色卡定义、种子文件、设计图元库、模型标准体系等6大组成部分。数字建模工具包括SP P&ID、S3D、Inventor、Revit、ScanStation P40及Cyclone等行业内常见的数字建模软、硬件。数字工厂不管是和传统业务驱动型信息系统,还是和新型应用信息系统的集成,都有广阔的应用前景和巨大的潜在价值。
Digital standard system for process industry has not yet been formed in China,and the digital national and industrial standards are lagging behind the development of digital technology.Due to the lack of macro technical guidance,digital factory technology is still in a state of dispersed and partial application.The manufacturing industry faces various problems and challenges in the process of digital transformation,but the core problem behind is management,so management change should be the first change that digital factory brings to enterprises.Digital factory should consist of static data and dynamic data,and ultimately achieve the digital twin of physical factory on the information world level.The basic requirements for establishing a digital factory system include functional consistency,structural similarity,organizational flexibility,integration,intelligence and visualization.Key technologies include modeling techniques,simulation techniques,simulation-based optimization techniques,and integration and interaction technologies.Taking a 5.0 Mt/a petrochemical plant as an exam-ple,the standard framework of digital factory system in the petrochemical industry mainly includes six compo-nents,i.e.factory breakdown structure,information coding rules,color card definition,seed file,design graphic element database,and model standard system.Digital modeling tools include digital modeling software and hardware commonly used in the industry such as SP P&ID,S3 D,Inventor,Revit,ScanStation P40,and Cyclone.Digital factory has broad application prospects and great potential value whether they are integrated with tra-ditional business-driven information system or new application information system.
Digital standard system for process industry has not yet been formed in China,and the digital national and industrial standards are lagging behind the development of digital technology.Due to the lack of macro technical guidance,digital factory technology is still in a state of dispersed and partial application.The manufacturing industry faces various problems and challenges in the process of digital transformation,but the core problem behind is management,so management change should be the first change that digital factory brings to enterprises.Digital factory should consist of static data and dynamic data,and ultimately achieve the digital twin of physical factory on the information world level.The basic requirements for establishing a digital factory system include functional consistency,structural similarity,organizational flexibility,integration,intelligence and visualization.Key technologies include modeling techniques,simulation techniques,simulation-based optimization techniques,and integration and interaction technologies.Taking a 5.0 Mt/a petrochemical plant as an exam-ple,the standard framework of digital factory system in the petrochemical industry mainly includes six compo-nents,i.e.factory breakdown structure,information coding rules,color card definition,seed file,design graphic element database,and model standard system.Digital modeling tools include digital modeling software and hardware commonly used in the industry such as SP P&ID,S3 D,Inventor,Revit,ScanStation P40,and Cyclone.Digital factory has broad application prospects and great potential value whether they are integrated with tra-ditional business-driven information system or new application information system.
引文
[1]李强.把握数字化转型趋势,成就智慧企业[J].哈佛商业评论,2018(12):60-61.
[2]中国国务院.中国制造2025[R].北京:中国国务院,2015.
[3]中国工信部.国家智能制造标准体系建设指南[R].北京:中国工信部,2015.
[4]卢阳光.AMDQ公司数字工厂实施管理案例研究[D].大连:大连理工大学,2012.
[5]卢阳光,闵庆飞,刘锋.中国智能制造研究现状的可视化分类综述——基于CNKI(2005-2018)的科学计量分析[J].工业工程与管理,2019,24(4):17-26.
[6]中华人民共和国工业和信息化部.SH/T 3043-2014石油化工设备管道钢结构表面色和标志规定[S].北京:石油工业出版社,2014.
[2]中国国务院.中国制造2025[R].北京:中国国务院,2015.
[3]中国工信部.国家智能制造标准体系建设指南[R].北京:中国工信部,2015.
[4]卢阳光.AMDQ公司数字工厂实施管理案例研究[D].大连:大连理工大学,2012.
[5]卢阳光,闵庆飞,刘锋.中国智能制造研究现状的可视化分类综述——基于CNKI(2005-2018)的科学计量分析[J].工业工程与管理,2019,24(4):17-26.
[6]中华人民共和国工业和信息化部.SH/T 3043-2014石油化工设备管道钢结构表面色和标志规定[S].北京:石油工业出版社,2014.