Data for: Modern day monitoring and control challenges outlined on an industrial-scale benchmark fermentation process

This data was generated using an advanced mathematical simulation of a 100,000 litre penicillin fermentation system referenced as IndPenSim. All details describing the simulation are available on the following website: www.industrialpenicillinsimulation.com. IndPenSim is the first simulation to include a realistic simulated Raman spectroscopy device for the purpose of developing, evaluating and implementation of advanced and innovative control solutions applicable to biotechnology facilities. This data set generated by IndPenSim represents the biggest data set available for advanced data analytics and contains 100 batches with all available process and Raman spectroscopy measurements (~2.5 GB). This data is highly suitable for the development of big data analytics, machine learning (ML) or artificial intelligence (AI) algorithms applicable to the biopharmaceutical industry. The 100 batches are controlled using different control strategies and different batch lengths representing a typical Biopharmaceutical manufacturing facility: Batches 1-30: Controlled by recipe driven approach Batches 31-60: Controlled by operators Batches 61:90: Controlled by an Advanced Process Control (APC) solution using the Raman spectroscopy Batches 91:100: Contain faults resulting in process deviations. Please reference: Goldrick S., Stefan, A., Lovett D., Montague G., Lennox B. (2015) The development of an industrial-scale fed-batch fermentation simulation Journal of Biotechnology, 193:70-82. and Goldrick S., Duran-Villalobos C., K. Jankauskas, Lovett D., Farid S. S, Lennox B., (2018) Modern day control challenges for industrial-scale fermentation processes. Computers and Chemical Engineering. Additionally help publicise this work on the following platforms: Twitter: @Stephen_Goldric Github: StephenGoldie LinkenIn: Stephen Goldrick - Post Doc @UCL Biochemical Socitey本数据集基于名为IndPenSim的10万升青霉素发酵系统高级数学仿真生成。所有与该仿真相关的详细信息均可通过以下网站获取：www.industrialpenicillinsimulation.com。IndPenSim是首款集成真实模拟拉曼光谱（Raman spectroscopy）设备的仿真平台，用于开发、评估并落地适用于生物技术工厂的先进创新控制方案。 本数据集由IndPenSim生成，是当前可获取的适用于高级数据分析的规模最大的数据集之一，包含100组批次的全量工艺与拉曼光谱测量数据（总容量约2.5 GB），极为适配生物制药行业的大数据分析、机器学习（Machine Learning, ML）及人工智能（Artificial Intelligence, AI）算法开发工作。 该100组批次采用差异化控制策略与批次时长进行管控，以贴合典型生物制药生产工厂的实际工况： - 批次1-30：采用配方驱动控制模式 - 批次31-60：采用人工操作员管控模式 - 批次61-90：采用集成拉曼光谱设备的先进过程控制（Advanced Process Control, APC）方案进行管控 - 批次91-100：包含引发工艺偏差的故障工况 请引用以下文献： 1. Goldrick S., Stefan A., Lovett D., Montague G., Lennox B. (2015) 《工业规模补料分批发酵仿真的开发》，*Journal of Biotechnology*，193卷：70-82。 2. Goldrick S., Duran-Villalobos C., Jankauskas K., Lovett D., Farid S. S., Lennox B. (2018) 《工业规模发酵过程的现代控制挑战》，*Computers and Chemical Engineering*。 此外，请通过以下平台宣传本研究工作： Twitter: @Stephen_Goldric Github: StephenGoldie LinkedIn: Stephen Goldrick - Post Doc @UCL Biochemical Society