[Data integration, data mining and visualization analysis of traditional Chinese medicine manufacturing process]

Area of Science:

• Pharmaceutical Manufacturing
• Traditional Chinese Medicine (TCM)
• Industrial Big Data

Context:

• The TCM industry is increasingly adopting industrial automatic control technology, generating vast amounts of manufacturing data.
• This data presents significant opportunities for enhancing process understanding and performance.
• Effective data integration and management systems are crucial for leveraging this industrial big data.

Purpose:

• To introduce key technologies supporting TCM manufacturing and industrial big data management.
• To highlight the importance of data mining and visualization technologies in this context.
• To demonstrate the practical application of these technologies using real-world manufacturing data.

Summary:

• This paper explores the application of industrial big data in TCM manufacturing, focusing on data mining and visualization.
• It discusses the necessity of data integration and management systems to overcome data silos.
• A case study using historical data from Shengmai injection production illustrates the effectiveness of these technologies.

Impact:

• Implementing data mining and visualization can break down data silos, leading to the discovery of valuable insights.
• Improved data management enhances the efficiency of collecting, storing, analyzing, and visualizing manufacturing data.
• These advancements ultimately contribute to significant improvements in TCM manufacturing process performance.