Anesthesia machine and breathing machine pressure control and adjustment method suitable for different R values and C values

Abstract

The invention discloses an anesthesia machine and breathing machine pressure control and adjustment method suitable for different R values and C values, which comprises the following steps of: taking a part of R values and C values as positioning points; performing proportion integration differentiation (PID) control parameter adjustment on the R value positioning points and the C value positioning points; in terms of the congruent relationships of the R values, the C values and corresponding PID parameters, establishing a membership function according to a fuzzy mathematical theory and grading the discourse domains of the membership function; setting a fuzzy rule and a decision method according to a grading condition, and writing a corresponding fuzzy control algorithm according to the set fuzzy rule and decision method; automatically calculating the PID parameters corresponding to the R values and the C values which are not set as the positioning points in the value ranges of R and C according to the fuzzy control algorithm; and performing pressure feedback control on an overall pressure control system by using the calculated PID parameters.

Description

technical field [0001] The invention provides a high-performance, high-precision pressure control ventilation method for realizing anesthesia machines and ventilators, and belongs to the technical field of medical equipment manufacturing. Background technique [0002] In the control of anesthesia machines and ventilators, pressure-controlled ventilation is required for some special patients. The traditional method uses pressure PID control to directly control the pressure of patients. The advantage of this method is that the algorithm is simple to implement, and the PID pressure control realized by using a high-performance processor can be used for most patients with special diseases. The disadvantage is that for patients with different lesions, their own R and C values ​​are different. Using the traditional pressure control method to control the entire system based solely on the monitored pressure cannot well adapt to pressure changes under various R and C conditions. The ...

AI Technical Summary

Problems solved by technology

The disadvantage is that for patients with different lesions, their own R and C values ​​are different. Using the traditional pressure control method to control the entire system based solely on the monitored pressure cannot well adapt to pressure changes under various R and C conditions. Insufficient ventilation or overshooting will cause serious harm to patients, and in order to achieve high-performance control and apply to more patients with R and C values, it is necessary to use a high-performance processor for real-time control processing, and the hardware cost is high

Images