Full-process cell culture environment control system
By combining a central controller with a multi-module dynamic balance model and dynamic weight matrix optimization, the problem of parameter coupling effects not being considered in existing technologies is solved. This enables multi-parameter collaborative optimization and precise control of the cell culture environment, improving culture stability and product quality consistency, and supporting intelligent system management.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- HUAMEI HAIBO (ZHEJIANG) BIO-INTELLIGENT TECHNOLOGY CO LTD
- Filing Date
- 2026-03-10
- Publication Date
- 2026-07-17
AI Technical Summary
Existing cell culture environment control systems do not fully consider the mutual coupling effects between environmental parameters such as temperature, pH, and gas concentration. The control strategies lack specificity, making it difficult to adapt to the needs of different cell growth stages. The control precision is insufficient, fault diagnosis is easily interfered with, and model parameters cannot be optimized, resulting in poor culture stability and product quality consistency.
The system employs a central controller that integrates environmental data sensing, control execution, data storage and communication, and fault diagnosis and emergency response modules. It optimizes the coupling effects between various parameters through a dynamic balance model and dynamic weight matrix, achieving multi-parameter collaborative optimization. It also features fault diagnosis and emergency response functions, a self-learning model to optimize parameters, and provides a comprehensive stability index for the cell culture environment.
It achieves multi-parameter collaborative optimization and precise control, improves the overall stability and consistency of the culture environment, enhances system reliability, reduces the risk of batch failure, and supports the digital and intelligent management of the process.
Smart Images
Figure CN122405910A_ABST