The invention relates to the technical field of
oxygen supply monitoring, regulation and control, and discloses a medical oxygenerator multi-source
information fusion monitoring evaluation method and
system, and the method comprises the following steps: S101, collecting the equipment operation parameters and environment parameters of a medical oxygenerator in real time, and obtaining the physiological demand data of a patient; s102, on the basis of the equipment operation parameters and the environment parameters, constructing
coupling characteristics for representing the operation state of the
oxygen generator; s103, establishing an environmental quantitative influence model of the environmental parameters on the
oxygen production efficiency; s104, performing
coupling analysis on the basis of the physiological demand parameters of the patient, the
coupling characteristics and the environmental quantitative influence model, and determining a dynamic
oxygen supply regulation and control strategy; and S105, monitoring the running state of the oxygen generator in real time, and triggering graded early warning when the oxygen generator is abnormal. Through multi-
source data fusion and intelligent regulation and control, the
oxygen supply demand of a patient is accurately matched, the environmental adaptability is optimized, the
oxygen supply efficiency is improved, a grading early warning mechanism is integrated, intelligent monitoring and abnormal protection are achieved, and the safety and reliability of the oxygen generator are improved.