A flow control method, oxygen concentration monitoring method, and device and medium for an oxygen therapy apparatus

Abstract

The application aims to provide a flow control method, oxygen concentration monitoring method, equipment and medium of a portable high-flow oxygen therapy instrument, wherein a predetermined relationship table and a relationship formula expressing the relationship between the real flow output value of the oxygen therapy instrument and the sampling value of the sensor are generated according to the measurement data in the previous debugging stage, calibration is performed in the batch production stage, and then the control algorithm of the software program in the computer language is converted, so that the control of the output parameters of the portable high-flow oxygen therapy instrument is more accurate, stable and safe.

Description

Technical Field

[0001] This invention relates to the field of high-flow oxygen therapy device control technology, and in particular to a flow control method, oxygen concentration monitoring method, and related equipment and media for an oxygen therapy device. Background Technology

[0002] Portable high-flow oxygen therapy devices are used for patients with spontaneous breathing to provide effective treatment by delivering a specific flow rate of warmed and humidified breathing gas. This includes patients requiring humidification therapy and oxygen therapy. The flow rate ranges from 2 to 60 L / min, set according to the patient's needs. Portable high-flow constant-temperature humidified oxygen therapy devices are also available for use in hospitals and long-term care facilities.

[0003] In specific oxygen therapy device applications, the data collected by flow sensors and oxygen concentration sensors are not the actual flow rate and oxygen concentration, nor can they be obtained simply by multiplying by a coefficient. Existing high-flow oxygen therapy devices are overly complex in terms of flow rate and oxygen concentration control; their accuracy needs improvement, and their stability and safety need to be strengthened. Summary of the Invention

[0004] In view of this, the purpose of the present invention is to provide a flow control method, an oxygen concentration monitoring method, equipment, and medium for a portable high-flow oxygen therapy device. By generating a predetermined relationship table and formula expressing the relationship between the actual flow output value of the oxygen therapy device and the sampled value of the sensor based on measurement data in the early debugging and mass production stages, the method is further transformed into a control algorithm of a software program in a computer language, making the control of the output parameters of the portable high-flow oxygen therapy device more accurate, stable, and safe.

[0005] This invention provides a flow control method for a portable high-flow oxygen therapy device. The oxygen therapy device includes a flow sensor and a fan. The flow control method includes:

[0006] Obtain the flow rate setting value of the oxygen therapy device and the actual sampled value of the flow sensor;

[0007] The target value of the flow sensor is determined based on a predetermined relationship table between the preset flow setting value and the target value of the flow sensor.

[0008] The fan speed is controlled by PID based on the actual sampled value and the target value of the flow sensor.

[0009] Preferably, the flow control method further includes:

[0010] The actual flow output value of the oxygen therapy device is determined based on the pre-set relationship between the actual sampled value of the flow sensor and the actual flow output value of the oxygen therapy device.

[0011] Determine whether the actual flow rate of the oxygen therapy device is abnormal based on the actual flow rate output value and the flow rate setting value.

[0012] When the actual flow rate of the oxygen therapy device is abnormal, an alarm will be triggered and the fan will be stopped.

[0013] Preferably, in the early debugging stage: a first flow meter is installed at the output interface of the oxygen therapy device, the oxygen therapy device is started and the fan speed is adjusted, and the sampling value of the first flow sensor built into the oxygen therapy device is recorded when the actual measurement value of the first flow meter is an integer. A first predetermined relationship table with multiple sets of data points is obtained. Each set of data points includes the actual measurement value of a first flow meter and the corresponding sampling value of a first flow sensor. The first polynomial formula is generated by processing the multiple sets of data points in the first predetermined relationship table using the polynomial function of the scatter plot trend line in Excel. The generated first polynomial formula is then converted into a first function formula in computer language.

[0014] Mass production stage: The oxygen therapy device is tested from products manufactured according to the first predetermined relationship table and the first function formula. A second flow meter is placed at the output interface of the oxygen therapy device. The oxygen therapy device is started and the fan speed is adjusted. When the actual measurement value of the second flow meter is an integer, the sampling value of the second flow sensor built into the oxygen therapy device is recorded. A second predetermined relationship table with multiple sets of data points is obtained. Each set of data points includes the actual measurement value of a second flow meter and the corresponding sampling value of a second flow sensor. The first function formula is calibrated and compensated based on the multiple sets of data points in the second predetermined relationship table to obtain a pre-set relationship between the actual sampling value of the flow sensor and the actual flow output value of the oxygen therapy device.

[0015] The second predetermined relationship table is defined as a predetermined relationship table between the preset flow rate setting value and the target value of the flow sensor.

[0016] Preferably, during the initial debugging phase, the fan speed of the oxygen therapy device is adjusted at predetermined speed intervals.

[0017] Preferably, the polynomial formula is generated by processing multiple sets of data points in the second predetermined relationship table using the polynomial function of the scatter plot trend line in an Excel spreadsheet.

[0018] The generated polynomial formula is then converted into a function formula in computer language to form a pre-defined relationship between the actual sampling value of the measurement sensor and the actual flow output value of the oxygen therapy device.

[0019] Preferably, if the actual flow output value of the oxygen therapy device exceeds the set range constituted by the flow setting value, the actual flow of the oxygen therapy device is determined to be abnormal.

[0020] On the other hand, the present invention also provides a method for monitoring oxygen concentration in a portable high-flow oxygen therapy device, the oxygen therapy device including an oxygen concentration sensor; the oxygen concentration monitoring method includes:

[0021] Obtain the actual sampled value from the oxygen concentration sensor;

[0022] The actual oxygen concentration output value of the oxygen therapy device is determined based on the pre-set relationship between the actual sampled value of the oxygen concentration sensor and the actual oxygen concentration output value of the oxygen therapy device.

[0023] Determine whether the actual oxygen concentration of the oxygen therapy device is abnormal based on the actual oxygen concentration output value of the oxygen therapy device;

[0024] An alarm will be triggered when the actual oxygen concentration of the oxygen therapy device is abnormal.

[0025] Preferably, it includes:

[0026] Preliminary debugging phase: A first oxygen concentration meter is installed at the output interface of the oxygen therapy device. The oxygen therapy device is started and the fan speed is adjusted. When the actual measurement value of the first oxygen concentration meter is an integer, the sampling value of the first oxygen concentration sensor built into the oxygen therapy device is recorded. A third predetermined relationship table with multiple sets of data points is obtained. Each set of data points includes the actual measurement value of a first oxygen concentration meter and the corresponding sampling value of a first oxygen concentration sensor. The polynomial formula in the third predetermined relationship table is generated by processing the multiple sets of data points using the polynomial function of the scatter plot trend line in Excel. The generated second polynomial formula is then converted into a second function formula in computer language.

[0027] Mass production stage: Select test oxygen therapy devices from the products produced according to the second predetermined relationship table and the second function formula. Arrange a second oxygen concentration measuring meter at the output interface of the test oxygen therapy device. Start the test oxygen therapy device and adjust the fan speed. Record the sampling value of the second oxygen concentration sensor built into the test oxygen therapy device when the actual measurement value of the second oxygen concentration measuring meter is an integer. Obtain a fourth predetermined relationship table with multiple sets of data points. Each set of data points includes the actual measurement value of a second oxygen concentration measuring meter and the corresponding sampling value of a second oxygen concentration sensor. Then, calibrate and compensate the second function formula according to the multiple sets of data points in the fourth predetermined relationship table to obtain the pre-set relationship between the actual sampling value of the oxygen concentration sensor and the actual oxygen concentration output value of the oxygen therapy device.

[0028] On the other hand, the present invention also provides an electronic device, comprising: a processor; and a memory storing a program, wherein the program includes instructions that, when executed by the processor, cause the processor to perform the flow control method or the oxygen concentration monitoring method of the portable high-flow oxygen therapy device described above.

[0029] On the other hand, the present invention also provides a non-transient computer-readable storage medium storing computer instructions for causing the computer to execute the flow control method or the oxygen concentration monitoring method of the portable high-flow oxygen therapy device described above.

[0030] The beneficial effects of this invention are as follows: By measuring and recording the sensor sampling values ​​and the actual measurement values ​​of the flow meter arranged at the output port of the product during the early debugging and mass production stages, and using Microsoft Excel spreadsheets, a predetermined relationship table and formula characterizing the relationship between the actual flow output value of the oxygen therapy device and the sensor sampling value can be quickly generated. This is fast, efficient, accurate, simple and practical, greatly saving development time and effort. The required actual flow output value can be quickly obtained according to the formula, and the fan speed can be quickly controlled by PID according to the predetermined relationship table. Moreover, the control steps are simplified and the computational complexity of the controller MCU is reduced. Attached Figure Description

[0031] Figure 1 This is a flowchart of the flow control method for a portable high-flow oxygen therapy device according to an embodiment of the present invention;

[0032] Figure 2 This is a detailed flowchart of the flow control method for the portable high-flow oxygen therapy device in an embodiment of the present invention;

[0033] Figure 3 This is a flowchart of the flow control method for a portable high-flow oxygen therapy device according to an embodiment of the present invention;

[0034] Figure 4 This is a graph showing the relationship between the sampled values ​​of the flow sensor and the flow rate in an embodiment of the present invention.

[0035] Figure 5 This is a graph showing the relationship between the oxygen concentration sensor sampling value and the oxygen concentration in an embodiment of the present invention. Detailed Implementation

[0036] like Figure 1 This invention provides a flow control method for a portable high-flow oxygen therapy device. The oxygen therapy device includes a flow sensor and a fan. The flow control method includes:

[0037] S101, acquires the flow rate setting value of the oxygen therapy device and the actual sampled value of the flow sensor.

[0038] S102, determine the target value of the flow sensor according to a predetermined relationship table between the preset flow setting value and the target value of the flow sensor.

[0039] S103, based on the actual sampled value and the target value of the flow sensor, performs PID (Proportional-Integral-Derivative Control) control on the fan speed.

[0040] In S101, the oxygen therapy device is a portable high-flow oxygen therapy device. The flow rate setting of the oxygen therapy device is the user-inputted desired output flow rate.

[0041] The flow sensor refers to the flow sensor that comes with the oxygen therapy device. In specific product applications, the data collected by the flow sensor is not the actual flow rate, nor can the actual flow rate value be obtained by simply multiplying it by a coefficient.

[0042] In S102, the predetermined relationship table between the preset flow rate setting value and the target value of the flow sensor needs to be obtained through testing during the early debugging stage and the mass production stage.

[0043] During the initial debugging phase, a first flow meter was installed at the output interface of the oxygen therapy device. The oxygen therapy device was started and the fan speed was adjusted at predetermined speed intervals. The sampling value of the first flow sensor built into the oxygen therapy device was recorded when the actual measurement value of the first flow meter was an integer. A first predetermined relationship table with multiple sets of data points was obtained. Each set of data points included the actual measurement value of the first flow meter and the corresponding sampling value of the first flow sensor.

[0044] During the initial debugging phase, the polynomial function of the scatter plot trend line in Excel was used to process multiple sets of data points in the first predetermined relationship table to generate a first polynomial formula, which was then converted into a first function formula in the computer language.

[0045] During mass production, oxygen therapy devices are tested from products manufactured according to the first predetermined relationship table and the first function formula. A second flow meter is installed at the output interface of the oxygen therapy device. The oxygen therapy device is started and the fan speed is adjusted. When the actual measurement value of the second flow meter is an integer, the sampling value of the second flow sensor built into the oxygen therapy device is recorded. This yields a second predetermined relationship table with multiple sets of data points. Each set of data points includes the actual measurement value of a second flow meter and the corresponding sampling value of a second flow sensor. The first function formula is then calibrated and compensated based on the multiple sets of data points in the second predetermined relationship table to obtain a pre-set relationship between the actual sampling value of the flow sensor and the actual flow output value of the oxygen therapy device.

[0046] Finally, the second predetermined relationship table is determined as a predetermined relationship table between the preset flow rate setting value and the target value of the flow sensor.

[0047] In S104, the fan speed is adjusted using PID control based on the actual sampled value and the target value of the flow sensor, so that the actual sampled value of the flow sensor gradually approaches the target value, thereby realizing the adjustment of the actual flow rate of the oxygen therapy device.

[0048] This invention utilizes the aforementioned Figure 1 The process enables PID control of the fan speed based on the flow rate setting value, so that the actual flow rate output value of the oxygen therapy device follows the change of the flow rate setting value.

[0049] like Figure 2 In this embodiment, the above Figure 1 In addition to this, it also includes:

[0050] S104. Determine the actual flow output value of the oxygen therapy device based on the pre-set relationship between the actual sampling value of the flow sensor and the actual flow output value of the oxygen therapy device.

[0051] S105, based on the actual flow output value and flow setting value of the oxygen therapy device, determine whether the actual flow rate of the oxygen therapy device is abnormal.

[0052] S106 will issue an alarm and stop the fan when the actual flow rate of the oxygen therapy device is abnormal.

[0053] In S105, if the actual flow output value of the oxygen therapy device exceeds the set range composed of the flow setting value, it is determined that the actual flow of the oxygen therapy device is abnormal.

[0054] The range of flow rate settings is usually formed by adding or subtracting a small allowable error value from the flow rate setting.

[0055] The steps S101 to S106 described above will be further explained below using the aforementioned flow control method as an example.

[0056] like Figure 3 As shown, the flow control method of a portable high-flow oxygen therapy device provided in this embodiment includes three stages: the preliminary debugging stage, the mass production stage, and the product use stage.

[0057] The initial debugging phase includes the following steps: 1. Data acquisition from the differential pressure flow sensor; 2. Data measurement; 3. Encapsulation of lookup table functions; 4. Data processing to generate polynomial formulas.

[0058] During this initial debugging phase, a first flow meter was installed at the output interface of the oxygen therapy device to measure the actual flow output of the device. The sampling values ​​of the first flow sensor built into the oxygen therapy device and the actual measurement values ​​measured by the first flow meter form a one-to-one correspondence as shown in Table 1 below. Table 1 constitutes the first predetermined relationship table.

[0059]

[0060]

[0061] Table 1

[0062] Then, using the relatively uniform data in Table 1, which reflects the trend of flow rate changes, a scatter plot was quickly generated using Microsoft Excel. Figure 4 As shown. Using the polynomial function of the scatter plot, a scatter plot trend line 11 is drawn from the multiple sets of scatter points in Table 1 to show the correspondence between the sampled values ​​and the actual flow values ​​of the first flow sensor. This generates the first polynomial formula 12 for the correspondence between the sampled values ​​x and the actual flow values ​​y of the first flow sensor, namely:

[0063] y = -0.00000000298554029524x 6 +0.00000081825883266906x 5

[0064] -0.0000879595125384509x 4 +0.00474290651487712x 3 -0.139712768832653x 2 +2.8120906432528x+4.03303611102791(12)

[0065] Translate this first polynomial formula into a software program algorithm formula in computer language, i.e., the first function formula:

[0066] MonitorPIDflow=(UINT8)(-0.00000000298554029524f*pow(SDP810diffPressureMean,6)+0.00000081825883266906f*pow(SDP810diffP ressureMean,5)-0.0000879595125384509f*pow(SDP810diffPressureMean,4)+0.00474290651487712f*pow(SDP810diffPressureMean,3) -0.139712768832653f*pow(SDP810diffPressureMean,2) +2.8120906432528f*SDP810diffPressureMean+4.03303611102791f)

[0067] Thus, a complete one-to-one correspondence is established between the sampled values ​​of the first flow sensor and the actual flow values.

[0068] During the mass production stage, the following steps are included: 5. The flow calibration compensation value of the elements in the lookup table method is stored in the flash memory; 6. The flow calibration compensation value calculated by the first polynomial formula is stored in the flash memory.

[0069] During the mass production stage, oxygen therapy devices are selected from the products produced according to the aforementioned Table 1 and the first function formula, and a second flow meter is installed at the output interface of the oxygen therapy device.

[0070] Start the oxygen therapy device and adjust the fan speed. When the actual measurement value of the second flow meter is an integer, record the sampling value of the second flow sensor built into the oxygen therapy device to obtain a second predetermined relationship table containing multiple sets of data points, similar to Table 1 above.

[0071] In the second predetermined relationship table, compared with the first predetermined relationship table, even if the actual measured values ​​of the first flow meter and the second flow meter are the same, the sampled values ​​of the first flow sensor and the second flow sensor may be the same or different. This is because there are permissible manufacturing errors during product production. After mass production, it is necessary to calibrate and compensate the sampled values ​​of the flow sensors in the first predetermined relationship table according to the actual products, thereby obtaining the aforementioned second predetermined relationship table, which is then stored in FLASH.

[0072] Then, based on multiple sets of data points in the second predetermined relationship table, the first function formula is calibrated and compensated to obtain the pre-set relationship between the actual sampled value of the flow sensor and the actual flow output value of the oxygen therapy device. For example:

[0073] y = (-0.00000000298554029524x) 6 +0.00000081825883266906

[0074] x 5 -0.0000879595125384509x 4 +0.00474290651487712x 3 -0.139712768832653x 2 +2.8120906432528x+4.03303611102791(12))±N.

[0075] Using the first four data points in Table 1 above as examples to illustrate the value of N, let's assume that during the mass production stage, the second predetermined relationship table formed by the data collected by the second flow meter and the second flow sensor is as follows:

[0076] 0.11 2 0.19 3 0.28 4 0.44 5

[0077] At this point, 0.11 is substituted into the first polynomial to calculate the result y1. The difference between 2 and y1 is taken as the calibration compensation value N1 corresponding to the actual flow value 2. That is, in actual application, when the sampling value of the flow sensor is 0.11, the aforementioned calibration compensation value N1 needs to be added.

[0078] If the sampled values ​​of the first flow sensor and the second flow sensor corresponding to the actual flow values ​​3 and 4 are the same, then no correction is required.

[0079] In the first and second predetermined relationship tables, the sampled values ​​of the first and second flow sensors corresponding to the actual flow value 5 are different. Substituting 0.44 into the first polynomial yields the result y4. The difference between 5 and y4 is used as the calibration compensation value N4 corresponding to the actual flow value 5. That is, in practical applications, when the sampled value of the flow sensor is 0.44, the aforementioned calibration compensation value N4 needs to be subtracted.

[0080] Therefore, the first function formula is calibrated using the aforementioned calibration compensation value N, and then applied in actual products.

[0081] In this embodiment, the second predetermined relationship table is defined as a predetermined relationship table between a pre-set flow rate setting value and a target value of the flow sensor.

[0082] During the product usage phase, the process includes the following steps: 7. The flow sensor samples the data; the target data obtained from the set flow setting value using a lookup table method is used to control the fan speed of the oxygen therapy device via PID regulation, thereby controlling the actual flow output of the oxygen therapy device; 8. The data fed back from the flow sensor is used to calculate the actual flow output value of the oxygen therapy device using the aforementioned formula representing the relationship between the actual sampled value of the flow sensor and the actual flow output value of the oxygen therapy device; 9. An alarm is triggered when the actual flow output value is abnormal; 10. This process is similar to the aforementioned steps S101 to S106.

[0083] The flow control method of the portable high-flow oxygen therapy device described above in this invention combines actual products. By recording the sampled values ​​of the flow sensor and the actual flow output value measured by the flow meter, a polynomial formula is quickly generated using Microsoft Excel. This method is fast, efficient, accurate, simple, and practical, greatly saving development time and effort. It not only obtains the required actual flow value but also simplifies the control steps and reduces the computational complexity of the controller MCU.

[0084] The flow control method for a portable high-flow oxygen therapy device described above can be extended to the application of other sensors. In another embodiment, the flow sensor can be replaced with an oxygen concentration sensor, and the flow rate can be replaced with oxygen concentration, while still using the control method of this invention. The sampled values ​​from the oxygen concentration sensor and the oxygen concentration values ​​measured by the VTPLUS oxygen concentration meter are recorded, as shown in Table 2.

[0085]

[0086]

[0087] Table 2

[0088] Then, using the relatively uniform data in Table 2 that reflects the trend of oxygen concentration changes, a scatter plot was quickly generated using Microsoft Excel. Figure 5 As shown. Using the polynomial function of the scatter plot, a trend line 13 is drawn from the scatter points to show the correspondence between the sampled values ​​of the first oxygen concentration sensor and the actual oxygen concentration output values ​​measured by the first oxygen concentration measuring instrument VTPLUS. The scatter points become a continuous curve, generating a second polynomial formula 14 for the correspondence between the sampled values ​​of the oxygen concentration sensor and the actual oxygen concentration output values ​​measured by the first oxygen concentration measuring instrument VTPLUS:

[0089] y=0.00000000559885979267184x6-0.00000199172446430041x5+0.000283843011086407x4- 0.0206153734967714x3+0.799663417956513x2-14.6957126724276x+120.49261244552(14)

[0090] Translate this formula into a software program algorithm formula in a computer language:

[0091] O2M2F_oxygen_value=(float)(0.00000000559885979267184f*pow(O2M2F_oxygen_value,6) -0.00000199172446430041f*pow(O2M2F_oxygen_value,5) +0.000283843011086407f*pow(O2M2F_oxygen_value,4) -0.0206153734967714f*pow(O2M2F_oxygen_value,3) +0.799663417956513f*pow(O2M2F_oxygen_value,2)-14.6957126724276f*O2M2F_oxygen_value+120.49261244552f)

[0092] A complete one-to-one correspondence was established between the sampled values ​​of the first oxygen concentration sensor and the actual oxygen concentration output values ​​measured by the first oxygen concentration measuring instrument.

[0093] During the mass production and actual use phases, a process similar to that described in the flow control method is implemented.

[0094] The oxygen concentration control method of the portable high-flow oxygen therapy device in this embodiment of the invention can also solve the problem that the data collected by the oxygen concentration sensor when it is embedded in a specific product is not the actual oxygen concentration.

[0095] In practical applications, the actual oxygen concentration output value of the oxygen therapy device can be determined based on the pre-set relationship between the actual sampling value of the oxygen concentration sensor and the actual oxygen concentration output value of the oxygen therapy device. When the actual oxygen concentration output value of the oxygen therapy device exceeds the predetermined concentration, it is determined that the actual oxygen concentration of the oxygen therapy device is abnormal, and an alarm is triggered.

[0096] On the other hand, the present invention also provides an electronic device, comprising: a processor; and a memory storing a program, wherein the program includes instructions that, when executed by the processor, cause the processor to perform the flow control method or the oxygen concentration monitoring method of the portable high-flow oxygen therapy device described above.

[0097] On the other hand, the present invention also provides a non-transient computer-readable storage medium storing computer instructions for causing the computer to execute the flow control method or the oxygen concentration monitoring method of the portable high-flow oxygen therapy device described above.

[0098] It should be noted that the various embodiments in this specification are described in a progressive manner, with each embodiment focusing on the differences from other embodiments. The same or similar parts between the various embodiments can be referred to each other.

[0099] Although preferred embodiments of the present invention have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments as well as all changes and modifications falling within the scope of the embodiments of the present invention.

[0100] It should also be noted that, in this document, the terms "center," "upper," "lower," "left," "right," "vertical," "horizontal," "inner," and "outer," etc., indicating orientation or positional relationships based on the orientation or positional relationships shown in the accompanying drawings, are used for the convenience of describing the invention and for simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of the invention. Furthermore, relational terms such as "first" and "second" are used to distinguish one entity or operation from another entity or operation, without necessarily requiring or implying any such actual relationship or order between these entities or operations, nor should they be construed as indicating or implying relative importance. Moreover, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or terminal device that comprises a list of elements does not include those elements, but also includes other elements not expressly listed, or elements inherent to such a process, method, article, or terminal device. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or terminal device that includes the element.

[0101] The technical solution provided by this invention has been described in detail above. Specific examples have been used to illustrate the principles and implementation methods of this invention. The descriptions of the above embodiments are only for the purpose of helping to understand this invention, and the content of this specification should not be construed as a limitation of this invention. Furthermore, for those skilled in the art, there will be different forms of changes in the specific implementation methods and application scope based on this invention. It is neither necessary nor possible to exhaustively list all implementation methods here, but obvious changes or modifications derived therefrom are still within the protection scope of this invention.

Claims

1. A flow control method for a portable high-flow oxygen therapy device, characterized in that, The oxygen therapy device includes a flow sensor and a fan, and the flow control method includes: Obtain the flow rate setting value of the oxygen therapy device and the actual sampled value of the flow sensor; The target value of the flow sensor is determined based on a predetermined relationship table between the preset flow setting value and the target value of the flow sensor. Based on the actual sampled value and the target value of the flow sensor, the fan speed is controlled by PID. The predetermined relationship table is preset in the following manner: Preliminary debugging phase: A first flow meter is installed at the output interface of the oxygen therapy device. The oxygen therapy device is started and the fan speed is adjusted. When the actual measurement value of the first flow meter is an integer, the sampling value of the first flow sensor built into the oxygen therapy device is recorded. A first predetermined relationship table with multiple sets of data points is obtained. Each set of data points includes the actual measurement value of a first flow meter and the corresponding sampling value of a first flow sensor. The first polynomial formula is generated by processing the multiple sets of data points in the first predetermined relationship table using the polynomial function of the scatter plot trend line in Excel. The generated first polynomial formula is then converted into a first function formula in computer language. Mass production stage: The oxygen therapy device is tested from products manufactured according to the first predetermined relationship table and the first function formula. A second flow meter is placed at the output interface of the oxygen therapy device. The oxygen therapy device is started and the fan speed is adjusted. When the actual measurement value of the second flow meter is an integer, the sampling value of the second flow sensor built into the oxygen therapy device is recorded. A second predetermined relationship table with multiple sets of data points is obtained. Each set of data points includes the actual measurement value of a second flow meter and the corresponding sampling value of a second flow sensor. The first function formula is calibrated and compensated based on the multiple sets of data points in the second predetermined relationship table to obtain a pre-set relationship between the actual sampling value of the flow sensor and the actual flow output value of the oxygen therapy device. The second predetermined relationship table is defined as a predetermined relationship table between the preset flow rate setting value and the target value of the flow sensor.

2. The flow control method for the portable high-flow oxygen therapy device according to claim 1, characterized in that, The flow control method further includes: The actual flow output value of the oxygen therapy device is determined based on the pre-set relationship between the actual sampled value of the flow sensor and the actual flow output value of the oxygen therapy device. Determine whether the actual flow rate of the oxygen therapy device is abnormal based on the actual flow rate output value and the flow rate setting value. When the actual flow rate of the oxygen therapy device is abnormal, an alarm will be triggered and the fan will be stopped.

3. The flow control method for the portable high-flow oxygen therapy device according to claim 1, characterized in that, During the initial debugging phase, the fan speed of the oxygen therapy device was adjusted at predetermined speed intervals.

4. The flow control method for the portable high-flow oxygen therapy device according to claim 2, characterized in that, If the actual flow output value of the oxygen therapy device exceeds the set range constituted by the flow setting value, it is determined that the actual flow of the oxygen therapy device is abnormal.

5. A method for monitoring oxygen concentration in a portable high-flow oxygen therapy device, characterized in that, The oxygen therapy device includes an oxygen concentration sensor; the oxygen concentration monitoring method includes: Obtain the actual sampled value from the oxygen concentration sensor; The actual oxygen concentration output value of the oxygen therapy device is determined based on the pre-set relationship between the actual sampled value of the oxygen concentration sensor and the actual oxygen concentration output value of the oxygen therapy device. Determine whether the actual oxygen concentration of the oxygen therapy device is abnormal based on the actual oxygen concentration output value of the oxygen therapy device; An alarm will be triggered when the actual oxygen concentration of the oxygen therapy device is abnormal; The relation is preset in the following way: Preliminary debugging phase: A first oxygen concentration meter is installed at the output interface of the oxygen therapy device. The oxygen therapy device is started and the fan speed is adjusted. When the actual measurement value of the first oxygen concentration meter is an integer, the sampling value of the first oxygen concentration sensor built into the oxygen therapy device is recorded. A third predetermined relationship table with multiple sets of data points is obtained. Each set of data points includes the actual measurement value of a first oxygen concentration meter and the corresponding sampling value of a first oxygen concentration sensor. The polynomial formula in the third predetermined relationship table is generated by processing the multiple sets of data points using the polynomial function of the scatter plot trend line in Excel. The generated second polynomial formula is then converted into a second function formula in computer language. Mass production stage: Select test oxygen therapy devices from the products produced according to the third predetermined relationship table and the second function formula. Arrange a second oxygen concentration measuring meter at the output interface of the test oxygen therapy device. Start the test oxygen therapy device and adjust the fan speed. Record the sampling value of the second oxygen concentration sensor built into the test oxygen therapy device when the actual measurement value of the second oxygen concentration measuring meter is an integer. Obtain a fourth predetermined relationship table with multiple sets of data points. Each set of data points includes the actual measurement value of a second oxygen concentration measuring meter and the corresponding sampling value of a second oxygen concentration sensor. Then, calibrate and compensate the second function formula according to the multiple sets of data points in the fourth predetermined relationship table to obtain the pre-set relationship between the actual sampling value of the oxygen concentration sensor and the actual oxygen concentration output value of the oxygen therapy device.

6. An electronic device, characterized in that, include: processor; And a memory storing a program, wherein the program includes instructions that, when executed by the processor, cause the processor to perform the flow control method of the portable high-flow oxygen therapy device according to any one of claims 1-4 or the oxygen concentration monitoring method of the portable high-flow oxygen therapy device according to claim 5.

7. A non-transitory computer-readable storage medium storing computer instructions, characterized in that, The computer instructions are used to cause the computer to execute the flow control method of the portable high-flow oxygen therapy device according to any one of claims 1-4 or the oxygen concentration monitoring method of the portable high-flow oxygen therapy device according to claim 5.

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