从时空多尺度建模到应用:在工业生物技术中弥合死亡之谷
Xueting Wang1, Ali Mohsin1, Yifei Sun2
1State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology (ECUST), Shanghai 200237, China.
Bioengineering (Basel, Switzerland)
|June 28, 2023
概括
智能生物制造,集成计算,自动化和人工智能,有助于工业生物技术克服商业化挑战. 这种方法是工业4.0的核心,它利用数字化,建模和智能化来开发先进的生物工艺.
科学领域:
- 工业生物技术 工业生物技术
- 生物制造 生物制造 生物制造
- 工业4.0 工业4.0 工业4.0 工业4.0 工业4.0 是什么?
背景情况:
- 工业生物技术产品的商业化面临着"死亡之谷"的挑战.
- 第四次工业革命 (工业4.0) 推动了智能生物制造的进步.
- 智能生物制造整合了计算,自动化和人工智能 (AI),以加速产品的商业化.
研究的目的:
- 提供生物工艺开发中的建模方法的概述.
- 详细阐述混合模型在生物工艺工程中的应用.
- 讨论工业4.0在生物制造中的挑战和机遇.
主要方法:
- 机械和数据驱动模型的概述.
- 混合模型的详细阐述.
- 讨论应变设计,工艺控制,优化和扩展中的应用.
主要成果:
- 机械,数据驱动和混合模型是智能生物制造的关键组成部分.
- 混合型号在生物工艺开发阶段提供了多功能应用.
- 智能生物制造结构包括数字化,建模和智能化.
结论:
- 人工智能和计算工具的整合对于工业生物技术的成功至关重要.
- 建模是智能生物制造框架中的关键环节.
- 工业4.0为提高生物制造能力提供了重大机会.
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