High flow humidifier and temperature control system and method thereof

Abstract

The present invention provides a high-flow humidifier and its temperature control system and method. A first-level fuzzy PID calculation is performed based on a first real-time temperature of a heating disk to obtain a first calculated temperature of the heating disk; a second-level fuzzy PID calculation is performed based on the first calculated temperature and a second real-time temperature of the lower end of a heating tube to obtain a second calculated temperature of the lower end of the heating tube; and the operating state of the heating assembly is controlled based on the first calculated temperature, the second calculated temperature, and a third real-time temperature of the upper end of the heating tube. The present invention can alleviate the problem of low temperature control accuracy in existing high-flow humidifiers, which leads to poor patient comfort when using the device.

Description

Technical Field

[0001] The present invention relates to the technical field of medical equipment, and in particular to a high-flow humidifier and a temperature control system and method thereof. Background Art

[0002] Heating is a key function in high-flow humidifiers (i.e., high-flow respiratory humidification therapy devices). Proper temperature control ensures a gentle and comfortable airflow entering the body. However, inaccurate temperature control can cause thermal damage to the body. Currently, existing high-flow humidifiers typically only provide simple temperature control of the heating component. While these devices meet relevant industry standards, their temperature control accuracy is low, leading to large temperature fluctuations in the airflow entering the body and poor patient comfort. Summary of the Invention

[0003] In view of this, the object of the present invention is to provide a high-flow humidifier and its temperature control system and method, so as to alleviate the problem that the existing high-flow humidifier has low temperature control accuracy, resulting in poor patient comfort when using the high-flow humidifier.

[0004] In the first aspect, an embodiment of the present invention provides a temperature control system for a high-flow humidifier, which includes a detection module and a control module as well as a heating component, a water box and a heating tube of the high-flow humidifier; the heating component includes a heating plate and a heating film, the upper surface of the heating plate is in contact with the bottom outer surface of the water box, and the lower surface of the heating plate is in contact with the heating film; the lower end of the heating tube is connected to the air outlet end of the water box, and a heating wire is wound around the outer wall of the heating tube; the control module is respectively connected to the detection module and the heating component; the detection module is used to: detect a first real-time temperature of the heating plate and a second real-time temperature of the lower end of the heating tube The first real-time temperature and the third real-time temperature of the upper end of the heating tube are detected, and the detected first real-time temperature, second real-time temperature and third real-time temperature are sent to the control module; the control module is used to: perform a first-level fuzzy PID operation based on the received first real-time temperature to obtain a first calculated temperature of the heating plate; perform a second-level fuzzy PID operation based on the first calculated temperature and the received second real-time temperature to obtain a second calculated temperature of the lower end of the heating tube; control the working state of the heating component based on the first calculated temperature, the second calculated temperature and the received third real-time temperature; wherein the second real-time temperature is lower than the third real-time temperature.

[0005] In a second aspect, an embodiment of the present invention further provides a temperature control method for a high-flow humidifier, which is applied to the temperature control system described in the first aspect above, and the temperature control method includes: the detection module detects the first real-time temperature of the heating disk, the second real-time temperature of the lower end of the heating tube, and the third real-time temperature of the upper end of the heating tube, and sends the detected first real-time temperature, second real-time temperature and third real-time temperature to the control module; the control module performs a first-level fuzzy PID operation based on the received first real-time temperature to obtain the first calculated temperature of the heating disk; the control module performs a second-level fuzzy PID operation based on the first calculated temperature and the received second real-time temperature to obtain the second calculated temperature of the lower end of the heating tube; the control module controls the working state of the heating component based on the first calculated temperature, the second calculated temperature and the received third real-time temperature; wherein, the second real-time temperature is lower than the third real-time temperature.

[0006] In a third aspect, an embodiment of the present invention further provides a high-flow humidifier, which includes the temperature control system described in the first aspect.

[0007] An embodiment of the present invention provides a high-flow humidifier and its temperature control system and method. The temperature control system includes a detection module, a control module, and a heating component, a water box, and a heating tube of the high-flow humidifier; the heating component includes a heating disk and a heating film, the upper surface of the heating disk is in contact with the bottom outer surface of the water box, and the lower surface of the heating disk is in contact with the heating film; the lower end of the heating tube is connected to the air outlet end of the water box, and the outer wall of the heating tube is wrapped with a heating wire; the control module is respectively connected to the detection module and the heating component; the detection module is used to: detect a first real-time temperature of the heating disk, a second real-time temperature of the lower end of the heating tube, and a third real-time temperature of the upper end of the heating tube, and send the detected first real-time temperature, second real-time temperature, and third real-time temperature to the control module; the control module is used to: perform a first-level fuzzy PID operation based on the received first real-time temperature to obtain a first calculated temperature of the heating disk; perform a second-level fuzzy PID operation based on the first calculated temperature and the received second real-time temperature to obtain a second calculated temperature of the lower end of the heating tube; and control the working state of the heating component based on the first calculated temperature, the second calculated temperature, and the received third real-time temperature; wherein the second real-time temperature is less than the third real-time temperature. By using the above technology, the first calculated temperature of the heating plate and the second calculated temperature of the lower end of the heating tube are obtained through two-stage fuzzy PID calculation, and the operation of the heating component is controlled based on the first calculated temperature, the second calculated temperature and the third real-time temperature of the upper end of the heating tube obtained by detection. This can achieve refined temperature control of the high-flow humidifier, thereby ensuring that the temperature of the air flow entering the human body from the high-flow humidifier is more suitable for the patient, thereby improving the patient's comfort when using the high-flow humidifier.

[0008] Other features and advantages of the present invention will be described in the following description, and in part will become apparent from the description, or understood by practicing the present invention. The purposes and other advantages of the present invention are realized and obtained by the structures particularly pointed out in the description, claims and drawings.

[0009] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, preferred embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] In order to more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the specific embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0011] Figure 1 This is a schematic structural diagram of a temperature control system of a high-flow humidifier according to an embodiment of the present invention;

[0012] Figure 2 This is a partial structural diagram of a high-flow humidifier in an embodiment of the present invention;

[0013] Figure 3 Schematic diagram of the installation positions of the second and third temperature sensors in an embodiment of the present invention;

[0014] Figure 4 Schematic diagram of temperature control logic in an embodiment of the present invention;

[0015] Figure 5 This is an example diagram of the partial structure of a temperature control system of a high-flow humidifier according to an embodiment of the present invention;

[0016] Figure 6 The figure is a flow chart of a temperature control method for a high-flow humidifier according to an embodiment of the present invention.

[0017] Icon: 1-heating base; 2-heating film; 3-heating plate; 4-water box; 41-air outlet; 5-heating tube; 51-heating wire; 100-detection module; 101-second temperature sensor; 102-third temperature sensor; 103-first temperature sensor; 200-control module; 201-controller; 300-heating component. DETAILED DESCRIPTION

[0018] To make the objectives, technical solutions, and advantages of the embodiments of the present invention more clear, the technical solutions of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the embodiments described are only part of the embodiments of the present invention, not all of them. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0019] At present, the temperature control of existing high-flow humidifiers usually only provides simple control over the heating function of the heating component. Although it can meet relevant industry standards, the temperature control accuracy is low, which leads to excessive fluctuations in the temperature of the airflow entering the human body, resulting in poor comfort for patients when using high-flow humidifiers.

[0020] Based on this, the present invention provides a high-flow humidifier and its temperature control system and method, which can alleviate the problem of poor patient comfort when using the existing high-flow humidifier due to low temperature control accuracy.

[0021] To facilitate understanding of this embodiment, the temperature control system of a high flow humidifier disclosed in the embodiment of the present invention is first described in detail. Figures 1 to 3 As shown, the temperature control system may include a detection module 100 and a control module 200 as well as a heating component 300, a water box 4 and a heating tube 5 of a high-flow humidifier; the heating component 300 may include a heating plate 3 and a heating film 2, the upper surface of the heating plate 3 is in contact with the bottom outer surface of the water box 4, and the lower surface of the heating plate 3 is in contact with the heating film 2; the lower end of the heating tube 5 is connected to the air outlet end 41 of the water box 4, and the outer wall of the heating tube 5 is wrapped with a heating wire 51; the control module 200 is respectively connected to the detection module 100 and the heating component 300.

[0022] See also Figures 1 to 3 As shown, the detection module 100 can be used to: detect the first real-time temperature of the heating plate 3, the second real-time temperature of the lower end of the heating tube 5, and the third real-time temperature of the upper end of the heating tube 5, and send the detected first real-time temperature, second real-time temperature and third real-time temperature to the control module 200.

[0023] See also Figures 1 to 3 As shown, the control module 200 can be used to: perform a first-level fuzzy PID operation based on the received first real-time temperature to obtain a first calculated temperature of the heating plate 3; perform a second-level fuzzy PID operation based on the first calculated temperature and the received second real-time temperature to obtain a second calculated temperature of the lower end of the heating tube 5; and control the working state of the heating component 300 based on the first calculated temperature, the second calculated temperature and the received third real-time temperature.

[0024] Among them, since condensation will be generated in the heating tube 5 if the upper end temperature of the heating tube 5 is lower than the lower end temperature of the heating tube 5, it is necessary to ensure that the upper end temperature of the heating tube 5 is higher than the lower end temperature of the heating tube 5 to avoid condensation in the heating tube 5, that is, the above-mentioned second real-time temperature is lower than the above-mentioned third real-time temperature.

[0025] By adopting the above-mentioned temperature control system, the first calculated temperature of the heating plate and the second calculated temperature of the lower end of the heating tube are obtained through two-stage fuzzy PID calculation, and the operation of the heating component is controlled based on the first calculated temperature, the second calculated temperature and the third real-time temperature of the upper end of the heating tube obtained by detection. This can achieve refined temperature control of the high-flow humidifier, thereby ensuring that the temperature of the air flow entering the human body from the high-flow humidifier is more suitable for the patient, thereby improving the patient's comfort when using the high-flow humidifier.

[0026] As a possible implementation, see Figures 1 to 3 As shown, the detection module 100 can also be used to: obtain a first temperature error corresponding to the first real-time temperature obtained by detection, and send the obtained first temperature error to the control module 200; the control module 200 can also be used to: determine a first change rate of the received first temperature error; perform a first fuzzification, a first fuzzy inference and a first defuzzification on the first change rate and the first temperature error based on a pre-established first fuzzy rule; and determine a first calculated temperature based on the result of the first defuzzification, the first change rate and the first temperature error.

[0027] For example, see Figures 1 to 3As shown, the temperature error range and the temperature error change rate range of the heating disk 3 can be stored in the control module 200 in advance. After the control module 200 receives the real-time temperature of the heating disk 3 detected by the detection module 100 for the first time (i.e., the first real-time temperature), the control module 200 initializes and generates the initial temperature error and the initial temperature error change rate of the first real-time temperature. The initial temperature error is within the temperature error range of the heating disk 3 and the initial temperature error change rate is within the temperature error change rate range of the heating disk 3. Thereafter, the control module 200 uses a pre-established fuzzy rule (i.e., a mapping relationship between the precise quantity and fuzzy quantity of the temperature error and the temperature error change rate, and a rule for inferring the temperature fuzzy quantity from the fuzzy quantities of the temperature error and the temperature error change rate) to convert the initial temperature error and the initial temperature error change rate into corresponding fuzzy quantities, and then obtains the temperature fuzzy quantity of the heating disk 3 through fuzzy reasoning, and defuzzifies the temperature fuzzy quantity of the heating disk 3. The temperature fuzzy quantity is converted into a precise temperature quantity, and the first calculated temperature of the heating plate 3 is calculated based on the precise temperature quantity, the initial temperature error and the rate of change of the initial temperature error; the control module 200 performs the following operations each time after receiving the first real-time temperature: the error between the first real-time temperature received this time (i.e., the current first real-time temperature) and the first calculated temperature obtained last time is calculated as the current first temperature error, and the rate of change between the current first temperature error and the first temperature error obtained last time is calculated as the current first rate of change, and then the current first temperature error and the current first rate of change are converted into corresponding fuzzy quantities using pre-established fuzzy rules, and then the temperature fuzzy quantity of the heating plate 3 is obtained through fuzzy reasoning, and the temperature fuzzy quantity is converted into a precise temperature quantity through defuzzification, and then the current first calculated temperature of the heating plate 3 is calculated based on the precise temperature quantity, the current first rate of change and the current first temperature error.

[0028] Take the PID control algorithm to control the temperature of the heating plate 3 as an example, see Figures 1 to 4 As shown, the result of the first defuzzification may include the first PID adjustment parameters (denoted as Dp1, Di1 and Dd1) of the heating disk 3; based on this, the control module 200 may also be used to: initialize the first initial PID coefficients (denoted as Kp1, Ki1 and Kd1) of the heating disk 3; determine the first PID coefficients (denoted as Kp1', Ki1' and Kd1') of the heating disk 3 based on the first PID adjustment parameters and the first initial PID coefficients; determine the first calculated temperature based on the first PID coefficients, the first rate of change (denoted as ec1) and the first temperature error (denoted as e1).

[0029] At a certain time t, the current calculated temperature of the heating plate 3 can be calculated using the following formula:

[0030] u1(t)=Kp1'×e1(t)+Ki1'×∫(e1(t)dt)+Kd1'×ec1(t)

[0031] Wherein, u1(t) is the first calculated temperature at time t, Kp1′=Kp1+Dp1, Ki1′=Ki1+Di1, Kd1′=Kd1+Dd1, and ec1(t)=d(e1(t)) / dt.

[0032] As a possible implementation, see Figures 1 to 3 As shown, the control module 200 can also be used to: determine a second temperature error based on the first calculated temperature and the received second real-time temperature, and determine a second change rate of the second temperature error; perform a second fuzzification, a second fuzzy inference, and a second defuzzification on the second change rate and the second temperature error based on a pre-established second fuzzy rule; and determine the second calculated temperature based on the result of the second defuzzification and the second change rate and the second temperature error.

[0033] Continuing from the previous example, see Figures 1 to 3As shown, the temperature error range and the temperature error change rate range of the lower end of the heating tube 5 can be stored in advance on the control module 200. After the control module 200 receives the real-time temperature of the lower end of the heating tube 5 detected by the detection module 100 for the first time (i.e., the second real-time temperature) and obtains the first calculated temperature of the heating plate 3, the control module 200 calculates the error between the first calculated temperature and the second real-time temperature as the initial temperature error of the second real-time temperature and initializes the initial temperature error change rate of the second temperature error. The initial temperature error is within the temperature error range of the lower end of the heating tube 5 and the initial temperature error change rate is within the temperature error change rate range of the lower end of the heating tube 5. Thereafter, the control module 200 uses pre-established fuzzy rules (i.e., the mapping relationship between the precise quantity and fuzzy quantity of each of the temperature error and the temperature error change rate, and the rule for inferring the temperature fuzzy quantity from the fuzzy quantity of each of the temperature error and the temperature error change rate) to convert the initial temperature error and the initial temperature error change rate into corresponding fuzzy quantities. Quantity, and then obtain the temperature fuzzy quantity of the lower end of the heating tube 5 through fuzzy reasoning, and convert the temperature fuzzy quantity into a precise temperature quantity through defuzzification, so as to calculate the second calculated temperature of the lower end of the heating tube 5 based on the precise temperature quantity, the initial temperature error and the rate of change of the initial temperature error; the control module 200 performs the following operations each time it receives the second real-time temperature and obtains the current first calculated temperature: calculate the error between the current first calculated temperature and the second real-time temperature received this time (that is, the current second real-time temperature) as the current second temperature error, and calculate the rate of change of the current second temperature error compared with the second temperature error obtained last time as the current second rate of change, and then use the pre-established fuzzy rules to convert the current second temperature error and the current second temperature error rate of change into corresponding fuzzy quantities, and then obtain the temperature fuzzy quantity of the lower end of the heating tube 5 through fuzzy reasoning, and then calculate the current second calculated temperature of the lower end of the heating tube 5 based on the precise temperature quantity, the current second rate of change and the current second temperature error.

[0034] Take the PID control algorithm to control the temperature of the heating plate 3 as an example, see Figures 1 to 4 As shown, the result of the above-mentioned second defuzzification may include the second PID adjustment parameters (denoted as Dp2, Di2 and Dd2) of the lower end of the heating pipe 5; based on this, the control module 200 can also be used to: initialize the second initial PID coefficient (denoted as Kp2, Ki2 and Kd2) of the lower end of the heating pipe 5; determine the second PID coefficient (denoted as Kp2', Ki2' and Kd2') of the lower end of the heating pipe 5 based on the second PID adjustment parameters and the second initial PID coefficient; determine the second calculated temperature based on the second PID coefficient, the second change rate (denoted as ec2) and the second temperature error (denoted as e2).

[0035] At a certain time t, the current calculated temperature at the lower end of the heating pipe 5 can be calculated using the following formula:

[0036] u2(t)=Kp2'×e2(t)+Ki2'×∫(e2(t)dt)+Kd2'×ec2(t)

[0037] Among them, u2(t) is the second calculated temperature at time t, Kp2'=Kp2+Dp2, Ki2'=Ki2+Di2, Kd2'=Kd2+Dd2, ec2(t)=d(e2(t)) / dt, e2(t)=u1(t)-PV2(t), PV2(t) is the second real-time temperature at time t.

[0038] As a possible implementation, see Figures 1 to 3 As shown, the control module 200 can also be used to: determine the set temperature of the lower end of the heating tube 5 based on the received third real-time temperature; send a control signal to the heating component 300 based on the first calculated temperature, the second calculated temperature and the set temperature to control the working state of the heating component 300; wherein the set temperature is less than the third real-time temperature.

[0039] Continuing from the previous example, see Figures 1 to 4 As shown, after the control module 200 receives the real-time temperature of the upper end of the heating tube 5 detected by the detection module 100 for the first time (i.e., the third real-time temperature) and obtains the first calculated temperature of the heating plate 3 and the second calculated temperature of the lower end of the heating tube 5, the control module 200 determines the set value of the lower end temperature of the heating tube 5 according to the received set temperature input signal and ensures that the set value is less than the third real-time temperature. The control module 200 generates a control signal based on the obtained first calculated temperature, the second calculated temperature, and the set value and sends the control signal to the heating component 300 to control the heating component 300 through the control signal. 0; the control module 200 performs the following operations each time after receiving the third real-time temperature and obtaining the current first calculated temperature and the current second calculated temperature: compares the set value with the third real-time temperature received this time (i.e., the current third real-time temperature), and generates a feedback signal based on the current first calculated temperature and the current second calculated temperature, and then generates a new control signal based on the feedback signal and the set value and sends the new control signal to the heating component 300 to control the power of the heating disk 3 in the heating component 300 through the new control signal, thereby ensuring that the set value is less than the current third real-time temperature.

[0040] As a possible implementation, see Figures 1 to 4 As shown, the control module 200 may also be configured to update the first temperature error based on the first real-time temperature and the first calculated temperature.

[0041] For example, at a certain moment t, after obtaining the first real-time temperature PV1(t-1) and the first calculated temperature u1(t-1) at the previous moment t-1, the control module 200 calculates the value of PV1(t-1)-u1(t-1) as the first temperature error e1(t) at the moment t, and replaces e1(t-1) with e1(t) to update e1, so as to use the updated e1 to calculate ec1 and then calculate u1(t).

[0042] As a possible implementation, see Figures 1 to 3 As shown, the detection module 100 may include a first temperature sensor ( Figures 1 to 3 ), a second temperature sensor 101 and a third temperature sensor 102; the first temperature sensor can be used to detect the first real-time temperature of the heating plate 3; the second temperature sensor 101 can be used to detect the second real-time temperature of the lower end of the heating tube 5; the third temperature sensor 102 can be used to detect the third real-time temperature of the upper end of the heating tube 5.

[0043] For example, see Figure 2 and Figure 3 As shown, the first temperature sensor can be set on the surface of the heating plate 3, the second temperature sensor 101 can be set on the lower end wall of the heating tube 5, and the third temperature sensor 102 can be set on the upper end wall of the heating tube 5. In actual application, the number of each of the first temperature sensor, the second temperature sensor 101, and the third temperature sensor 102 can be one or more, and there is no limitation on this. In addition, in order to improve the temperature detection accuracy of the heating tube 5, a plurality of temperature sensors can be distributed on the wall of the heating tube 5 at a certain interval along the length direction of the heating tube 5, and one or more temperature sensors within a certain distance range from the lower end of the heating tube 5 can be used as the second temperature sensor 101, and one or more temperature sensors within a certain distance range from the upper end of the heating tube 5 can be used as the third temperature sensor 102, and then the second real-time temperature is calculated based on the temperatures detected by all the second temperature sensors 101, and the third real-time temperature is calculated based on the temperatures detected by all the third temperature sensors 102; for example, a corresponding weight can be assigned to each second temperature sensor 101 according to the distance between each second temperature sensor 101 and the lower end of the heating tube 5, and a corresponding weight can be assigned to each second temperature sensor 101 according to the distance between each third temperature sensor 102 and the upper end of the heating tube 5, and then a weighted average value can be calculated based on the temperatures detected by all the second temperature sensors 101 and their corresponding weights as the second real-time temperature, and a weighted average value can be calculated based on the temperatures detected by all the third temperature sensors 102 and their corresponding weights as the third real-time temperature.

[0044] For ease of understanding, the working principle of the above temperature control system is described below by taking a specific application as an example.

[0045] by Figures 2 to 5 For example, the temperature control system can structurally include a heating plate 3, a heating film 2, a water box 4, a heating tube 5 and a heating base 1 of a high-flow humidifier, as well as a first temperature sensor 103 installed on the surface of the heating plate 3, a second temperature sensor 101 installed on the lower end wall of the heating tube 5, a third temperature sensor 102 installed on the upper end wall of the heating tube 5 and a controller 201 installed on the high-flow humidifier; the heating base 1 is used to fix the position of the heating plate 3 and provide support for the heating plate 3; the upper surface of the heating plate 3 is in contact with the bottom outer surface of the water box 4, the lower surface of the heating plate 3 is in contact with the heating film 2, the lower end of the heating tube 5 is in contact with the water box 4 The air outlet end 41 is connected to the heating tube 5, and the outer wall of the heating tube 5 is wrapped with a heating wire 51; when the high-flow humidifier is working, heat is generated by the heating film 2 and the heat emitted by the heating film 2 is conducted to the water box 4 by the heating disk 3 to heat the water in the water box 4, so as to adjust the temperature and humidity of the air in the water box 4 and then adjust the temperature and humidity of the air flow entering the lower end of the heating tube 5 from the air outlet end 41 of the water box 4. The heat generated by the heating wire 51 is provided to the wall of the heating tube 5 to further adjust the temperature and humidity of the air flow flowing from the lower end to the upper end of the heating tube 5, and finally the temperature and humidity of the air flow entering the body of the patient using the high-flow humidifier from the upper end of the heating tube 5 is adjusted.

[0046] See also Figure 5 As shown, the controller 201 is respectively connected to the first temperature sensor 103, the second temperature sensor 101, the third temperature sensor 102 and the heating plate 3; the first real-time temperature of the heating plate 3 is detected by the first temperature sensor and the detected first real-time temperature is sent to the controller 201, the second real-time temperature of the lower end of the heating tube 5 is detected by the second temperature sensor 101 and the detected second real-time temperature is sent to the controller 201, and the third real-time temperature of the upper end of the heating tube 5 is detected by the third temperature sensor 102 and the detected third real-time temperature is sent to the controller 201.

[0047] Two sets of fuzzy rules can be pre-established on the controller 201. Each set of fuzzy rules includes a mapping relationship between the precise amount and fuzzy amount of the corresponding temperature error and the corresponding temperature error change rate, as well as rules for inferring the corresponding temperature fuzzy amount from the fuzzy amount of the corresponding temperature error and the corresponding temperature error change rate. Specifically, for the first real-time temperature of the heating plate 3 detected by the first temperature sensor 103, it is defined that the temperature error range corresponding to the first real-time temperature has seven fuzzy subsets, namely {NS, NM, NB, ZO, PS, PM, PB}, which correspond to {very small, small, zero, large, large, very large}, respectively. It is also defined that the temperature error change rate range corresponding to the first real-time temperature has seven fuzzy subsets, namely {NS, NM, NB, ZO, PS, PM, PB}, which correspond to {very small, small, zero, large, large, very large}, respectively. In addition, the membership functions corresponding to the first temperature error and the first change rate are respectively defined, so that after obtaining the precise amount e1 of the first temperature error and the precise amount ec1 of the first change rate, the controller 201 can assign membership functions to e1 and ec1 according to the corresponding membership functions. Fuzzification is performed to convert e1 and ec1 into fuzzy quantities E1 and EC1 respectively; a rule is established to infer the fuzzy quantity of the temperature of the heating plate 3 from E1 and EC1 (see the rule tables shown in Tables 1, 2 and 3, dp, di, dd can refer to dp1, di1, dd1 respectively, E can refer to E1, and EC can refer to EC1), so that after obtaining E1 and EC1, the controller 201 can perform fuzzy inference on E1 and EC1 according to the rule to infer the fuzzy quantity of the temperature of the heating plate 3 (that is, the fuzzy quantities dp1, di1 and dd1 of the first PID adjustment parameter) and defuzzify the temperature fuzzy quantity to obtain the corresponding precise temperature quantity (that is, the precise quantities Dp1, Di1 and Dd1 of the first PID adjustment parameter) to further calculate the first calculated temperature of the heating plate 3.

[0048] Table 1 Fuzzy rule table of PID adjustment parameter dp (i.e. dp1 or dp2)

[0049]

[0050] Table 2 Fuzzy rule table of PID adjustment parameter di (i.e. di1 or di2)

[0051]

[0052] Table 3 Fuzzy rule table of PID adjustment parameter dd (i.e. dd1 or dd2)

[0053]

[0054] For the second real-time temperature of the lower end of the heating tube 5 detected by the second temperature sensor 101, the temperature error range corresponding to the second real-time temperature is defined as having seven fuzzy subsets, namely {NS, NM, NB, ZO, PS, PM, PB} corresponding to {very small, small, zero, large, large, very large} respectively, and the temperature error change rate range corresponding to the second real-time temperature is defined as having seven fuzzy subsets, namely {NS, NM, NB, ZO, PS, PM, PB} corresponding to {very small, small, zero, large, large, very large} respectively, and the membership functions corresponding to the second temperature error and the second change rate are defined respectively (such as Gaussian membership function, generalized bell-shaped membership function, S-shaped membership function, trapezoidal membership function, triangular membership function, Z-shaped membership function, etc.), so that the controller 201 can obtain the accurate amount e2 of the second temperature error and the accurate second change rate. After obtaining the quantity ec2, e2 and ec2 can be fuzzified according to the corresponding membership function to convert e2 and ec2 into fuzzy quantities E2 and EC2 respectively; a rule for inferring the fuzzy quantity of the temperature of the lower end of the heating pipe 5 from E2 and EC2 is established (see the rule table shown in Table 1, Table 2 and Table 3, dp, di, dd can refer to dp2, di2, dd2 respectively, E can refer to E2, and EC can refer to EC2), so that after obtaining E2 and EC2, the controller 201 can perform fuzzy inference on E2 and EC2 according to the rule to infer the fuzzy quantity of the temperature of the lower end of the heating pipe 5 (that is, the fuzzy quantities dp2, di2 and dd2 of the second PID adjustment parameter) and defuzzify the temperature fuzzy quantity to obtain the corresponding precise temperature quantity (that is, the precise quantities Dp2, Di2 and Dd2 of the second PID adjustment parameter) and then calculate the second calculated temperature of the lower end of the heating pipe 5.

[0055] See also Figure 4 and Figure 5As shown, the controller 201 can perform the following operations: after receiving the first real-time temperature PV1 for the first time, the initial temperature error of PV1 is initialized and generated as e1 within the corresponding temperature error range, and the initial temperature error change rate of PV1 is initialized and generated as ec1 within the corresponding temperature error change rate range, and Kp1, Ki1 and Kd1 are initialized and generated, e1 and ec1 are converted into E1 and EC1 respectively using the corresponding fuzzy rules, and then dp1, di1 and dd1 are obtained through fuzzy reasoning, and dp1, di1 and dd1 are converted into Dp1, Di1 and Dd1 through defuzzification, and then e1, ec1, Dp1, Di1 and Dd1 are used to calculate the PID1. Calculate the first calculated temperature u1 of the heating plate 3; after each subsequent receipt of a new first real-time temperature PV1, calculate the error between the new PV1 and the last obtained u1 as the new e1, and calculate the rate of change of the new e1 compared to the last obtained e1 as the new ec1, and then use the corresponding fuzzy rules to convert the new e1 and ec1 into new E1 and EC1 respectively, and then obtain new dp1, di1 and dd1 through fuzzy reasoning, and convert the new dp1, di1 and dd1 into new Dp1, Di1 and Dd1 through defuzzification, and then use the new e1, ec1, Dp1, Di1 and Dd1 to calculate the new first calculated temperature u1 through PID1 operation.

[0056] See also Figure 4 and Figure 5 As shown, the controller 201 can also perform the following operations: after receiving the second real-time temperature PV2 for the first time and obtaining u1, calculate e2=u1-PV2, and initialize the initial temperature error change rate of PV2 as ec2 within the corresponding temperature error change rate range, and initialize and generate Kp2, Ki2 and Kd2, and use the corresponding fuzzy rules to convert e2 and ec2 into E2 and EC2 respectively, and then obtain dp2, di2 and dd2 through fuzzy reasoning, and convert dp2, di2 and dd2 into Dp2, Di2 and Dd2 through defuzzification, and then use e2, ec2, Dp2, Di2 and Dd2 to calculate the temperature of the lower end of the heating pipe 5 through PID2 operation. the second calculated temperature u2; each time the second real-time temperature PV2 is received and u1 is obtained, the value obtained by subtracting the new PV2 from the last u1 is used as the new e2, and the rate of change of the new e2 compared to the last e2 is calculated as the new ec2, and then the new e2 and ec2 are converted into new E2 and EC2 respectively by using the corresponding fuzzy rules, and then new dp2, di2 and dd2 are obtained through fuzzy reasoning, and the new dp2, di2 and dd2 are converted into new Dp2, Di2 and Dd2 through defuzzification, and then the new e2, ec2, Dp2, Di2 and Dd2 are used to calculate the new second calculated temperature u2 through PID2 operation.

[0057] See also Figure 4 and Figure 5 As shown, the controller 201 can also perform the following operations: after receiving the third real-time temperature PV3 for the first time and obtaining u1 and u2, determine the set value of the temperature at the lower end of the heating tube 5 (the value is less than PV3) according to the received set temperature input signal, and generate a control signal based on the obtained u1, u2 and the set value, and then send the control signal to the heating disk 3 to control the power of the heating disk 3 through the control signal; after receiving a new PV3 and obtaining new u1 and u2 each time, compare the set value with the new PV3, and generate a feedback signal based on the new u1 and u2, and then generate a new control signal based on the feedback signal and the set value, and then send the new control signal to the heating disk 3 to control the power of the heating disk 3 through the new control signal, thereby ensuring that the set value is always less than the PV3 received each time.

[0058] In summary, the temperature control logic of the above temperature control system is mainly divided into two links. The first link is the temperature control of the heating plate 3 and the lower end of the heating tube 5, and the second link is the temperature control of the upper end of the heating tube 5.

[0059] In the first stage, the temperature of heating plate 3 can be indirectly controlled by controlling the power of heating plate 3. The feedback of heating plate 3 temperature forms a closed-loop control of heating plate 3. Since the temperature of heating plate 3 indirectly affects the water temperature in water box 4, which in turn changes the temperature at the front end of heating tube 5, the temperature of heating plate 3 and the front end of heating tube 5 can be controlled in series. Combined with fuzzy PID, a cascade fuzzy PID operation is implemented (i.e., the above-mentioned PID1 operation and the above-mentioned PID2 operation are performed sequentially).

[0060] For a certain time t, the calculation formulas for the above PID1 operation and the above PID2 operation are:

[0061] Kp1'=Kp1+Dp1

[0062] Ki1'=Ki1+Di1

[0063] Kd1'=Kd1+Dd1

[0064] ec1(t)=d(e1(t)) / dt

[0065] u1(t)=Kp1'×e1(t)+Ki1'×∫(e1(t)dt)+Kd1'×ec1(t)

[0066] For a certain time t, the calculation formula of the above PID2 operation is:

[0067] Kp2'=Kp2+Dp2

[0068] Ki2’ = Ki2 + Di2

[0069] Kd2’ = Kd2 + Dd2

[0070] ec2(t) = d(e2(t)) / dt

[0071] e2(t) = u1(t) - PV2(t)

[0072] u2(t) = Kp2’×e2(t) + Ki2’×∫(e2(t)dt) + Kd2’×ec2(t)

[0073] Wherein, the temperature u2(t) at the front end of the heating pipe 5 is the final output of the entire cascade fuzzy PID operation.

[0074] The temperature control of the second link depends on the temperature control of the first link, which can provide guarantee for reducing the condensate in the heating pipe 5. Let the temperature at the lower end of the heating pipe 5 be T1 and the temperature at the upper end of the heating pipe 5 be T2. When T2 < T1, condensate will be generated in the heating pipe 5, and when T2 > T1, no condensate will be generated in the heating pipe 5. Therefore, the second link actually adjusts the power of the heating plate 3 by using the feedback effect of the temperature of the heating plate 3 and the temperature at the upper end of the heating pipe 5 on the set value, which can ensure that the temperature at the lower end of the heating pipe 5 is lower than the temperature at the upper end of the heating pipe 5, thereby ensuring that no condensate will be generated in the heating pipe 5.

[0075] By adopting the above temperature control system and through the way of two-stage fuzzy PID operation, the refined temperature control of the high-flow humidifier is realized, ensuring that the temperature of the air flow entering the patient's body from the high-flow humidifier is appropriate, and the refined temperature control of the high-flow humidifier provides a basis for the humidification control of the high-flow humidifier.

[0076] In the actual application process, two-stage traditional PID operation can also be adopted to replace the above two-stage fuzzy PID operation to realize the temperature control of the high-flow humidifier, so as to ensure that the temperature of the air flow entering the patient's body from the high-flow humidifier is appropriate. A series of other temperature measuring devices such as thermal sensors can also be adopted to replace the above temperature sensor to realize the corresponding temperature detection.

[0077] Based on the above temperature control system, an embodiment of the present invention further provides a high-flow humidifier, which may include the above temperature control system.

[0078] Based on the above temperature control system, an embodiment of the present invention further provides a temperature control method for a high-flow humidifier. This temperature control method can be applied to the above temperature control system. Refer to Figure 6 As shown, this temperature control method may include the following steps:

[0079] In step S602, the detection module detects the first real-time temperature of the heating plate, the second real-time temperature of the lower end of the heating tube, and the third real-time temperature of the upper end of the heating tube, and sends the detected first real-time temperature, second real-time temperature, and third real-time temperature to the control module.

[0080] In step S604 , the control module performs a first-level fuzzy PID operation based on the received first real-time temperature to obtain a first calculated temperature of the heating plate.

[0081] In step S606 , the control module performs a second-level fuzzy PID operation based on the first calculated temperature and the received second real-time temperature to obtain a second calculated temperature of the lower end of the heating tube.

[0082] Step S608: The control module controls the working state of the heating component based on the first calculated temperature, the second calculated temperature, and the received third real-time temperature; wherein the second real-time temperature is lower than the third real-time temperature.

[0083] The temperature control method provided in the embodiment of the present invention has the same implementation principle and technical effects as those in the aforementioned temperature control system embodiment. For the sake of brief description, for matters not mentioned in the embodiment of the temperature control method, reference can be made to the corresponding contents in the aforementioned temperature control system embodiment.

[0084] Unless otherwise specifically stated, the relative steps, numerical expressions and values ​​of the components and steps set forth in these embodiments do not limit the scope of the present invention.

[0085] In the description of the present invention, it should be noted that the terms "center," "upper," "lower," "left," "right," "vertical," "horizontal," "inner," and "outer," etc., indicating orientations or positional relationships, are based on the orientations or positional relationships shown in the accompanying drawings and are intended solely to facilitate and simplify the description of the present invention. They are not intended to indicate or imply that the devices or components referred to must have, be constructed, or operate in a specific orientation, and therefore should not be construed as limitations on the present invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0086] Finally, it should be noted that the above-described embodiments are only specific implementation methods of the present invention, which are used to illustrate the technical solutions of the present invention, rather than to limit them. The scope of protection of the present invention is not limited thereto. Although the present invention has been described in detail with reference to the above-described embodiments, those skilled in the art should understand that any person skilled in the art can modify or easily conceive of changes to the technical solutions described in the above-described embodiments within the technical scope disclosed by the present invention, or replace some of the technical features therein with equivalents. Such modifications, changes, or replacements do not deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should be included in the scope of protection of the present invention. Therefore, the scope of protection of the present invention shall be subject to the scope of protection of the claims.

Claims

1. A temperature control system for a high flow humidifier, characterized in that: The temperature control system includes a detection module and a control module as well as a heating component, a water box and a heating tube of the high-flow humidifier; the heating component includes a heating plate and a heating film, the upper surface of the heating plate is in contact with the bottom outer surface of the water box, and the lower surface of the heating plate is in contact with the heating film; the lower end of the heating tube is connected to the air outlet end of the water box, and a heating wire is wound around the outer wall of the heating tube; the control module is respectively connected to the detection module and the heating component; the detection module is used to: detect a first real-time temperature of the heating plate and a second real-time temperature of the lower end of the heating tube and a first real-time temperature of the upper end of the heating tube three real-time temperatures, and sends the detected first real-time temperature, second real-time temperature and third real-time temperature to a control module; the control module is used to: perform a first-level fuzzy PID operation based on the received first real-time temperature to obtain a first calculated temperature of the heating plate; perform a second-level fuzzy PID operation based on the first calculated temperature and the received second real-time temperature to obtain a second calculated temperature of the lower end of the heating tube; control the working state of the heating component based on the first calculated temperature, the second calculated temperature and the received third real-time temperature; wherein the second real-time temperature is lower than the third real-time temperature; The detection module is further configured to: obtain a first temperature error corresponding to the detected first real-time temperature, and send the obtained first temperature error to the control module; the control module is further configured to: determine a first change rate of the received first temperature error; perform a first fuzzification, a first fuzzy inference, and a first defuzzification on the first change rate and the first temperature error based on a pre-established first fuzzy rule; and determine the first calculated temperature based on a result of the first defuzzification, the first change rate, and the first temperature error; The control module is further configured to: determine a second temperature error based on the first calculated temperature and the received second real-time temperature, and determine a second rate of change of the second temperature error; perform second fuzzification, second fuzzy inference, and second defuzzification on the second rate of change and the second temperature error based on a pre-established second fuzzy rule; and determine the second calculated temperature based on a result of the second defuzzification, the second rate of change, and the second temperature error; The control module is also used to: determine the set temperature of the lower end of the heating tube based on the received third real-time temperature; send a control signal to the heating component based on the first calculated temperature, the second calculated temperature and the set temperature to control the working state of the heating component; wherein the set temperature is lower than the third real-time temperature.

2. The temperature control system according to claim 1, characterized in that: The result of the first defuzzification includes a first PID adjustment parameter of the heating disk; the control module is further used to: initialize and obtain a first initial PID coefficient of the heating disk; determine a first PID coefficient of the heating disk based on the first PID adjustment parameter and the first initial PID coefficient; and determine the first calculated temperature based on the first PID coefficient, the first change rate, and the first temperature error.

3. The temperature control system according to claim 1, characterized in that: The result of the second defuzzification includes a second PID adjustment parameter of the lower end of the heating tube; the control module is also used to: initialize a second initial PID coefficient of the lower end of the heating tube; determine the second PID coefficient of the lower end of the heating tube based on the second PID adjustment parameter and the second initial PID coefficient; determine the second calculated temperature based on the second PID coefficient, the second change rate and the second temperature error.

4. The temperature control system according to claim 1, characterized in that: The control module is further configured to update the first temperature error based on the first real-time temperature and the first calculated temperature.

5. The temperature control system according to claim 1, characterized in that: The detection module includes a first temperature sensor, a second temperature sensor and a third temperature sensor; the first temperature sensor is used to detect the first real-time temperature of the heating plate; the second temperature sensor is used to detect the second real-time temperature of the lower end of the heating tube; and the third temperature sensor is used to detect the third real-time temperature of the upper end of the heating tube.

6. A temperature control method for a high flow humidifier, characterized in that: The temperature control method is applied to the temperature control system according to any one of claims 1 to 5, and the temperature control method includes: The detection module detects a first real-time temperature of the heating plate, a second real-time temperature of the lower end of the heating tube, and a third real-time temperature of the upper end of the heating tube, and sends the detected first real-time temperature, second real-time temperature, and third real-time temperature to the control module; The control module performs a first-level fuzzy PID operation based on the received first real-time temperature to obtain a first calculated temperature of the heating plate; The control module performs a second-level fuzzy PID operation based on the first calculated temperature and the received second real-time temperature to obtain a second calculated temperature of the lower end of the heating tube; The control module controls the working state of the heating component based on the first calculated temperature, the second calculated temperature and a received third real-time temperature; wherein the second real-time temperature is lower than the third real-time temperature.

7. A high flow humidifier, characterized in that: The high-flow humidifier comprises the temperature control system according to any one of claims 1 to 5.

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