This invention relates to the field of micro
hyperbaric oxygen chamber technology, and discloses a
data acquisition, monitoring, analysis, and
control system for micro
hyperbaric oxygen chambers, including: a multi-dimensional sensing module, a digital twin computing module, an adaptive
pressure control module, and an
active safety defense module. The
system acquires
multimodal data in real time through physical biosensors and visual devices, constructs a digital twin model using
deep learning algorithms, and calculates physiological tolerance. Based on the physiological tolerance, it calls a nonlinear pressure boosting control model, automatically executing adaptive callbacks and
dynamic pressure stabilization during pressure boosting to construct a physiological
adaptation window. Simultaneously, by calculating a comprehensive
risk index, it uses dual logic to determine whether the user is in a sleep or abnormal state, thereby executing wake-up and emergency pressure relief strategies. This invention solves the problem of
eardrum damage caused by traditional linear pressure boosting and effectively avoids false alarms and missed alarms in
safety monitoring, improving the comfort and safety of equipment operation.