生物过程大数据分析与智能化  

Big data and intelligentialized method for industrial bioprocess

作　　者：张嗣良[1] 潘杭琳 黄明志[1] 谢梅野 

机构地区：[1]华东理工大学,上海200237 [2]亦亦生物技术(上海)有限公司,上海201906

出　　处：《生物产业技术》2018年第1期86-93,共8页Biotechnology & Business

摘　　要：讨论了工业生物过程大数据分析的重要意义,提出了基于大数据多尺度相关分析基础上实现生物反应器由自动化到智能化的发展。同时,分析了生物过程人工智能处理的应用问题,以克服目前基本上靠人工与专家经验来判断的局限性,以及面临的基因、代谢、过程到生产组织中的互不联系的实验或生产数据孤岛,为知识的发现、获取提供方法和途径,实现智能化决策。This paper discusses the significance of big data for industrial bioprocess; puts forward the development of bioreactor from automation towards intelligence based on multi-scale parameter correlation analysis; analyses the application of the artificial intelligence in biological treatment process, to overcome the limitations of the judgement relied on artifi cial and expert experience at present, and the unconnected experiments and isolated data appeared in genes, metabolism, processes and production organization. By this way, it provides the approaches for knowledge discovery and acquisition, to realize intelligentialized decision.

关 键 词：生物过程 优化与放大 大数据 智能化 

分 类 号：Q81[生物学—生物工程]