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快速开发数字解决方案的方法论,用于集成的连续下游处理
Niklas Andersson1, Joaquín Gomis Fons1, Madelène Isaksson1
1Department of Chemical Engineering, Lund University, Lund, Sweden.
Biotechnology and bioengineering
|July 17, 2023
概括
生物制品生产正在转向连续制造,需要先进的自动化和数字化解决方案. 本书介绍了一个基于Python的平台,用于为复杂的下游流程开发和验证这些数字工具.
科学领域:
- 生物技术是生物技术.
- 工艺工程是过程工程.
- 自动化自动化自动化自动化自动化
背景情况:
- 生物制药行业正在从传统的批量制造转向集成的连续生产.
- 这一转变旨在提高效率,减少足迹,并通过过程强化和自动化提高产品质量.
- 复杂的连续过程需要复杂的数字解决方案来监控和控制.
研究的目的:
- 为快速开发,先进研究和数字解决方案的验证提供一个平台,用于集成的连续下游生物处理.
- 为了实现高水平的自动化和生物工艺的远程操作.
- 促进在过程开发生命周期的早期整合数字工具.
主要方法:
- 开发一个灵活的,可扩展的实时监督控制器,名为Orbit,用Python构建.
- 利用轨道控制器网络在复杂的过程系统中同步并行操作.
- 实现数字生应用程序与计算扩展在轨道用于基于模型的监控和控制.
主要成果:
- 轨道使实时通信和执行在不同的物理设置.
- 该平台支持高效的数据处理,存储和分析异质,异步数据.
- 展示了新的数字解决方案,包括自动参数优化,卡尔曼波器监控和基于模型的批量对批量控制.
结论:
- 本次发布的平台加速了用于连续生物处理的数字解决方案的开发和验证.
- 它支持复杂的下游流程中的高级自动化,远程操作和数字生应用程序.
- 这种方法对于实现生物制药行业集成连续制造的全部潜力至关重要.
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