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[Intelligent regulatory technological system for TCM production driven by digital intelligence and its practical

Pei-Qi Miao1, Shi-Xin Cen1, Ai-Chun Ju2

  • 1College of Pharmaceutical Engineering of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine Tianjin 301617, China State Key Laboratory of Chinese Medicine Modernization Tianjin 301617, China Tianjin Key Laboratory of Intelligent and Green Pharmaceuticals for Traditional Chinese Medicine Tianjin 301617, China.

Zhongguo Zhong Yao Za Zhi = Zhongguo Zhongyao Zazhi = China Journal of Chinese Materia Medica
|July 2, 2026
PubMed
Summary

This study introduces an intelligent regulatory framework for Traditional Chinese Medicine (TCM) production, addressing limitations in current quality control. The proposed dynamic closed-loop system enhances perception, cognition, decision-making, and intervention for modernized TCM manufacturing.

Keywords:
TCM productionbehavior recognitionintelligent regulationpredictive maintenancerisk perception

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Area of Science:

  • Pharmaceutical Sciences
  • Regulatory Science
  • Artificial Intelligence in Manufacturing

Background:

  • Traditional Chinese Medicine (TCM) production quality and safety are critical for industry modernization.
  • Conventional regulatory models face challenges in perception, response efficiency, and process control.
  • Intelligent regulation is needed to overcome these limitations in TCM manufacturing.

Purpose of the Study:

  • To propose an intelligent regulatory technology framework for TCM production.
  • To address the core bottlenecks of conventional regulatory models.
  • To support the high-quality, digital, and intelligent development of the TCM industry.

Main Methods:

  • Development of a dynamic "perception-cognition-decision-intervention" closed-loop regulatory framework.
  • Summarization of a key technological system for intelligent TCM regulation.
  • Focus on core tasks: data perception, model reasoning, and risk prediction.
  • Demonstration through typical scenario cases.

Main Results:

  • The proposed framework offers a novel intelligent regulatory paradigm for TCM production.
  • The system demonstrates feasibility and practicality in typical scenarios.
  • Methodological paths and technical support for intelligent TCM development are provided.

Conclusions:

  • The intelligent regulatory framework based on a dynamic closed loop effectively addresses limitations in conventional TCM production regulation.
  • This approach provides a viable path towards high-quality, digital, and intelligent development of the TCM industry.
  • The study offers essential technical support for advancing TCM manufacturing standards.