The invention discloses a control method of an
oxygen-enriched synergistic
cold therapy cabin
system. S1; the temperature T1INT in the
cold therapy cabin, the ambient temperature T2INT outside the
cold therapy cabin, the temperature T3INT of the
evaporator and the temperature T4INT of the condenser are acquired by the sensor; s2; by monitoring the T1INI, the T2INI, the T3INI and the T4INI, the load state of the cold therapy cabin is judged, and the current operation stage of the current
oxygen-enriched collaborative cold therapy cabin
system is judged; the invention provides an
oxygen-enriched collaborative cold therapy
system control method, which is used for controlling each system of a cold therapy cabin to realize ultralow-temperature cold therapy combining oxygen-enriched
recovery,
photodynamic therapy and local position enhanced cold therapy,
thermal load in the cabin has time-varying characteristics during cold therapy, the
thermal load is modeled through a prediction
algorithm, and the time-varying characteristics of the
thermal load in the cabin are improved. Variables in a future time period are predicted and optimized, an in-cabin environment system is a
nonlinear coupling system, a PID neural network optimized by an
ant lion
algorithm is adopted to control in-cabin
treatment parameters and survival parameters, and it is ensured that a patient receives safe and effective physical treatment in the cabin.