Sterile experiment whole process monitoring method and device
By extracting and evaluating the operational actions of equipment and personnel in sterile experiments, using sensors, cameras and deep learning technologies, the problem of difficult monitoring of operating procedures in traditional sterile experiments is solved, and the reliability and success rate of the experiment is improved.
Patent Information
- Application Number
- CN202510584112.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-05-07
- Publication Date
- 2025-08-12
AI Technical Summary
The lack of systematic and real-time feature extraction and evaluation mechanisms in traditional sterile experiments leads to the operation process being susceptible to improper equipment operation and personnel errors, increasing the risk of experimental failure, and the manual observation is highly subjective, making it difficult to comprehensively and accurately judge operating specifications.
By extracting the operational actions of target equipment and personnel, obtaining real-time operation specifications, and evaluating deviations from standard operating specifications, using sensors, cameras and deep learning technologies to identify operation sequences and sequences, and monitoring them in combination with blockchain and reinforcement learning models.
Comprehensive and accurate monitoring of sterile experiments is achieved, deviations in equipment operation sequence and personnel operation sequence are timely discovered, the reliability and success rate of the experiment are ensured, and the risk of pollution introduced by human errors is reduced.