数据与计算发展前沿 ›› 2024, Vol. 6 ›› Issue (6): 109-122.

CSTR: 32002.14.jfdc.CN10-1649/TP.2024.06.011

doi: 10.11871/jfdc.issn.2096-742X.2024.06.011

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CigEngine: 基于知识图谱的卷烟数字化设计引擎

周小华1(),居雷2,田海英3,孙志涛3,彭振4,张静1,束茹欣2,孟珍1,楚文娟3,*()   

  1. 1.中国科学院计算机网络信息中心，北京 100083
    2.上海烟草集团有限责任公司，上海 200082
    3.河南中烟工业有限责任公司技术中心，河南 郑州 450000
    4.中国民航信息网络股份有限公司，北京 101318
  • 收稿日期:2023-11-15 出版日期:2024-12-20 发布日期:2024-12-20
  • 通讯作者: 楚文娟
  • 作者简介:周小华，中国科学院计算机网络信息中心，高级工程师，研究方向为领域大数据存储组织与计算分析。
    本文中主要负责系统的开发与实现。
    ZHOU Xiaohua is a senior engineer at the Department of Big Data Technology and Application Development at Computer Network Information Center, Chinese Academy of Sciences. His research interests include specific domain big data storage and computing.
    In this paper, he is responsible for the design and development of the system.|E-mail: zhouxiaohua@cnic.cn.|楚文娟，河南中烟工业有限责任公司技术中心，博士，高级工程师，主要从事烟草化学和烟用材料研究，《中国烟草学报》和《烟草科技》审稿人，主持多项烟草相关重大科技项目，获省部级奖励2项，在国内外学术期刊发表论文50余篇，授权知识产权60余件。
    本文中负责卷烟设计流程的定义与描述。
    CHU Wenjuan, PH.D, is a senior engineer at Tech Center, Henan Zhongyan Industry Co., Ltd. She is mainly engaged in tobacco chemistry and materials research. She serves as a reviewer for the “Acta Tabacaria Sinica” and “Tobacco Science & Technology” journals, has led multiple major tobacco-related scientific and technological projects, received 2 provincial and ministerial-level awards, published more than 50 papers in domestic and foreign academic journals, and obtained over 60 authorized intellectual property rights.
    In this paper, she is responsible for defining and describing the cigarette design process.
    E-mail: chuwenjuan6@126.com
  • 基金资助:
    中国烟草总公司重大科技项目“烟用材料大数据分析与应用服务关键技术研究与应用”（110202101079(SJ-03);中国烟草总公司重点研发计划项目“面向多品牌;多品规卷烟产品数字化设计内核算法研发与应用(110202202001)

CigEngine: a Cigarette Digital Design Engine Based on Knowledge Graph

ZHOU Xiaohua1(),JU Lei2,TIAN Haiying3,SUN Zhitao3,PENG Zhen4,ZHANG Jing1,SHU Ruxin2,MENG Zhen1,CHU Wenjuan3,*()   

  1. 1. Computer Network Information Center, Chinese Academy of Sciences, Beijing 100083, China
    2. Shanghai Tobacco Group Co., Ltd., Shanghai 200082, China
    3. Tech Center, Henan Zhongyan Industry Co., Ltd., Zhengzhou, Henan 450000, China
    4. TravelSky Technology Limited, Beijing 101318, China
  • Received:2023-11-15 Online:2024-12-20 Published:2024-12-20
  • Contact: CHU Wenjuan

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摘要：

【目的】卷烟设计流程复杂，所涉及到的数据与算法种类多、结构差异大、关系错综复杂，传统卷烟设计方式存在异构数据及配方管理效率低、算法模型无统一框架支撑等问题，建立卷烟数字化设计引擎可以更好地积累卷烟设计经验，规范设计流程，提升卷烟设计效率。【方法】本文参考借鉴知识图谱相关技术方法，设计并实现卷烟数字化设计引擎CigEngine，CigEngine采用本体对数据、算法、设计流程及配方等进行抽象定义，形成融合“数据-模型-配方”的一体化存储组织模型，并以此为骨架填充具体数据实体与关系，构建卷烟设计知识图谱，卷烟设计流程则以任务的形式由底层分布式计算平台负责调度执行。【结论】Cig Engine充分考虑卷烟设计流程特征，可满足不同品牌不同类型卷烟产品设计需求，目前已驱动构建面向叶组/三丝配方设计、料液/表香设计、烟用辅材设计等应用落地，并取得较好的应用效果。

关键词: 卷烟数字化设计, 本体模型, 知识图谱, 工作流

Abstract:

[Objective] The process of cigarette design is complex, involving various data and algorithms with significant structural disparities and intricate relationships. Traditional design approaches are hindered by inefficiencies in managing heterogeneous data and blends, as well as the absence of a unified framework to support algorithm models. The establishment of a digital cigarette design engine holds the potential to enhance the accumulation of cigarette design experience, standardize the design process, and ultimately improve the efficiency of cigarette design. [Methods] The paper adopts knowledge graph techniques to implement a digital cigarette design engine, CigEngine. CigEngine utilizes ontology to abstractly define data, algorithms, design processes, and blends, forming an integrated “data-model-formula” storage organization model. This ontology model is then used to populate specific data entities and relationships, thereby constructing a knowledge graph for cigarette design. The cigarette design process is scheduled and executed in the form of tasks by a custom-developed distributed computing platform. [Conclusions] CigEngine takes full account of the characteristics of cigarette design processes and can meet the design needs of different brands and types of cigarettes. It has been deployed in multiple tobacco companies and has achieved good application effects.

Key words: cigarette digital design, ontology model, knowledge graph, workflow