NyctiDB:一个由本体支持的非关系型生物过程建模数据库

IF 2.5 Q3 BIOTECHNOLOGY & APPLIED MICROBIOLOGY Frontiers in chemical engineering Pub Date : 2022-12-14 DOI:10.3389/fceng.2022.1036867
Simoneta Caño de las Heras, Carina L. Gargalo, Fiammetta Caccavale, K. Gernaey, U. Krühne
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引用次数: 0

摘要

开发和实现工业流程数字化的战略正在成为优化(生物)化工设施的游戏规则改变者。为了实现这一点,这些行业面临着对流程模型的日益增长的需求,同样重要的是,对存储模型和数据/信息的有效方式的需求。因此,本工作建议开发一个在线信息存储系统,该系统可以促进流程模型的重用和扩展,并使其可用于数字化周期。该系统名为NyctiDB,是一个与生物过程本体相结合的新型非关系数据库。本体支持以生物过程模型为中心的信息的选择和分类,而数据库负责所述信息的在线存储。通过一系列在线收集,NyctiDB包含了基于数学模型的生物过程设计、监测、控制和优化的基本知识。一旦实现了NyctiDB,它的适用性和有用性将通过两个应用程序得到证明。应用程序A展示了NyctiDB是如何集成在在线教育生物过程模拟器的软件架构中的。这意味着NyctiDB为不同生物过程行为的可视化和软件中模型的修改提供了信息。此外,与每个模型的参数和条件相关的信息用于支持用户对过程的理解。此外,应用程序B表明,NyctiDB可以作为人工智能的推动者,通过开源和可靠的数据来推进该领域的研究。事实上,在开发例如生物过程的混合模型或智能专家系统时,这可以用作人工智能框架的信息源。今后,这项工作旨在提供一个蓝图,说明如何收集生物过程建模信息并将其连接起来,以促进物联网范式和生物制造行业的数字化。图形摘要
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NyctiDB: A non-relational bioprocesses modeling database supported by an ontology
Strategies to exploit and enable the digitalization of industrial processes are on course to become game-changers in optimizing (bio)chemical facilities. To achieve this, these industries face an increasing need for process models and, as importantly, an efficient way to store the models and data/information. Therefore, this work proposes developing an online information storage system that can facilitate the reuse and expansion of process models and make them available to the digitalization cycle. This system is named NyctiDB, and it is a novel non-relational database coupled with a bioprocess ontology. The ontology supports the selection and classification of bioprocess models focused information, while the database is in charge of the online storage of said information. Through a series of online collections, NyctiDB contains essential knowledge for the design, monitoring, control, and optimization of a bioprocess based on its mathematical model. Once NyctiDB has been implemented, its applicability and usefulness are demonstrated through two applications. Application A shows how NyctiDB is integrated inside the software architecture of an online educational bioprocess simulator. This implies that NyctiDB provides the information for the visualization of different bioprocess behaviours and the modifications of the models in the software. Moreover, the information related to the parameters and conditions of each model is used to support the users’ understanding of the process. Additionally, application B illustrates that NyctiDB can be used as AI enabler to further the research in this field through open-source and reliable data. This can, in fact, be used as the information source for the AI frameworks when developing, for example, hybrid models or smart expert systems for bioprocesses. Henceforth, this work aims to provide a blueprint on how to collect bioprocess modeling information and connect it to facilitate and empower the Internet-of-Things paradigm and the digitalization of the biomanufacturing industries. Graphical Abstract
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来源期刊
CiteScore
3.50
自引率
0.00%
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0
审稿时长
13 weeks
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