Research on Fault Detection Method of High Flow Respiratory Humidifier Against Dry Burning
Compared with the traditional non-invasive ventilator,HiFent has the advantages of higher gas flow and controlla-ble temperature and humidity,so as to better airway management.For HiFent,the equipment needs to continuously supply water va-por to the air stream through heating.Once the equipment is short of water,the humidification effect of the patient's breathing output gas will be poor,which is more likely to damage the instrument.Therefore,real-time detection of dry burning failure is extremely important.In this paper,an optimal alarm algorithm for dry burning prevention is proposed.Based on the difference of treatment mode and gas flow rate,active and passive detection algorithms are established,and a multi-model detection system is constructed.The experimental results show that the proposed algorithm has high efficiency and low false alarm rate,and shows a good effect on dry burning.
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