The invention discloses a biological sample
library management method based on integration of intelligent early warning and
emergency treatment. According to the method, through
data acquisition, an intelligent early warning
algorithm and an
emergency response mechanism, the temperature and
humidity environment in a biological sample
library is monitored in real time, and emergency
processing is triggered when abnormity is detected. Through multi-level threshold comparison and a self-
adaptive algorithm, the
system can automatically adjust the temperature and
humidity according to environmental changes, and the stability and safety of a sample storage environment are ensured. And specifically, through a dual-
system identification strategy and a CO2
dry ice backup refrigeration mechanism, the flexibility and reliability of
emergency treatment are improved. According to the method, the
automation level and response efficiency of biological sample
library management can be remarkably improved, and long-term storage and safety of samples are ensured. The method has the advantages of quick response, automatic adjustment, efficient optimization and the like, and can be widely applied to the environment monitoring fields of biological sample libraries, medical storage and the like.