Children breathing atomization flow monitoring method and equipment

Abstract

The invention discloses a children respiratory atomization flow monitoring method and equipment, and belongs to the technical field of medical instruments. The method is applied to the atomization equipment, the atomization equipment comprises an air suction valve, a bypass waste gas hole, a pressure sensor and an air flow sensor, the pressure sensor is arranged on the air supply side of the air suction valve, and the air flow sensor is arranged in the bypass waste gas hole on the mask side of the air suction valve. The children respiratory atomization flow monitoring method comprises the following steps of controlling a pressure sensor to collect pressure data, controlling an air flow sensor to collect flow data, determining user respiratory characteristics according to the pressure data and the flow data, generating target control data according to the user respiratory characteristics, and sending the target control data to a user terminal. And the atomization equipment is controlled to operate according to the target control data, so that the beneficial effect of improving the treatment effect of respiratory atomization is achieved.

Description

Technical Field

[0001] This invention relates to the field of medical devices, and more particularly to a method and device for monitoring the flow rate of nebulized respiratory tract infection in children. Background Technology

[0002] Nebulized inhalation therapy has become an important treatment method for respiratory diseases in children. Medications are delivered directly to the respiratory tract lesions in aerosol form, offering rapid onset of action and requiring small doses. However, current nebulized inhalation devices generally generate a fixed mist of medication. In reality, children may experience various conditions during treatment, leading to the delivery of the mist not matching the child's actual situation, thus reducing the therapeutic effect.

[0003] The above content is only used to help understand the technical solution of the present invention and does not represent an admission that the above content is prior art. Summary of the Invention

[0004] The main objective of this invention is to provide a method and device for monitoring the flow rate of nebulized respiratory air in children, aiming to improve the therapeutic effect of nebulized respiratory air. To achieve the above objective, this invention provides a method for monitoring the flow rate of nebulized respiratory air in children, applied to a nebulization device. The nebulization device includes: an inhalation valve, a bypass exhaust port, a pressure sensor, and an air flow sensor. The pressure sensor is disposed on the air supply side of the inhalation valve, and the air flow sensor is disposed on the bypass exhaust port on the mask side of the inhalation valve. The method for monitoring the flow rate of nebulized respiratory air in children includes the following steps: The pressure sensor is controlled to collect pressure data, and the air flow sensor is controlled to collect flow data; The user's respiratory characteristics are determined based on the pressure data and the flow data; Target control data is generated based on the user's breathing characteristics, and the operation of the nebulizer is controlled based on the target control data.

[0005] Optionally, the pressure data and the flow data are sampled at the same time, and the step of determining the user's breathing characteristics based on the pressure data and the flow data includes: Multiple data groups are determined according to the sampling time and the length of the time interval, wherein each data group includes: pressure sub-data and flow sub-data collected in a continuous time period; Based on the cross-correlation function, the data association features in each data group are determined, resulting in multiple data association features; The user's breathing characteristics are determined based on multiple data association features, the pressure features corresponding to the pressure data, and the flow features corresponding to the flow data.

[0006] Optionally, the step of determining the data association features in each data group based on the cross-correlation function to obtain multiple data association features includes: Each of the data groups is processed according to a preprocessing algorithm to obtain multiple standard data groups to be processed; The correlation value sequence is determined based on the cross-correlation function, the pressure sub-data and flow sub-data corresponding to the standard unprocessed data group; Based on the correlation value sequence, determine the correlation value features and delay features; The data association features are defined based on the correlation value features and the delay features.

[0007] Optionally, before the step of determining the user's breathing characteristics based on multiple data association features, the pressure feature corresponding to the pressure data, and the flow feature corresponding to the flow data, the method further includes: The pressure data and the flow data are denoised separately. Extract the pressure features corresponding to the pressure data, including: pressure change rate, pressure peak value, and average pressure; Extract the flow characteristics corresponding to the flow data, including: inspiratory flow integral value, expiratory flow integral value, peak flow rate, and flow rate change frequency.

[0008] Optionally, the step of generating target control data based on the user's breathing characteristics includes: A user monitoring identifier is generated based on the user's breathing characteristics and the preset identifier relationship; Target control data is generated based on the user monitoring identifier.

[0009] Optionally, the step of generating target control data based on the user monitoring identifier includes: The user's usage status is determined based on the user monitoring identifier; When the user's breathing rate is too fast, the target control data is determined to be the generation of breathing prompt information; When the user's usage status is that the mask does not fit properly, the target control data is determined to be to generate a mask wearing prompt message; When the user's usage state is low airflow rate, the target control data is determined to be to reduce the atomization output power.

[0010] Optionally, the first sampling frequency of the pressure sensor and the second sampling frequency of the air flow sensor are the same.

[0011] Furthermore, to achieve the above objectives, the present invention also provides a child respiratory nebulization flow monitoring device, applied to a nebulization device, the nebulization device comprising: an inhalation valve, a bypass exhaust port, a pressure sensor, and an air flow sensor, wherein the pressure sensor is disposed on the air supply side of the inhalation valve, and the air flow sensor is disposed on the bypass exhaust port on the mask side of the inhalation valve. The child respiratory nebulization flow monitoring device comprises: The data acquisition module is used to control the pressure sensor to acquire pressure data and to control the air flow sensor to acquire flow data. The analysis module is used to determine the user's breathing characteristics based on the pressure data and the flow data; The control module is used to generate target control data based on the user's breathing characteristics, and to control the operation of the nebulizer based on the target control data.

[0012] In addition, to achieve the above objectives, the present invention also provides a child respiratory nebulization flow monitoring device, the child respiratory nebulization flow monitoring device comprising: a memory, a processor, and a child respiratory nebulization flow monitoring program stored in the memory and executable on the processor, the child respiratory nebulization flow monitoring program being configured to implement the steps of the child respiratory nebulization flow monitoring method described above.

[0013] In addition, to achieve the above objectives, the present invention also provides a storage medium storing a child respiratory nebulization flow monitoring program, wherein the child respiratory nebulization flow monitoring program, when executed by a processor, implements the steps of the child respiratory nebulization flow monitoring method described above.

[0014] This invention proposes a method for monitoring the nebulization flow rate of children's respiratory nebulization. This method controls a pressure sensor to collect pressure data and an airflow sensor to collect flow rate data. Based on the pressure and flow rate data, the method determines the user's respiratory characteristics, generates target control data based on these characteristics, and controls the operation of the nebulization device according to the target control data. Compared to a nebulization device operating in a single state, this method monitors the nebulization flow rate and adjusts the operation accordingly to adapt to the user's condition, thereby improving the therapeutic effect on children. Attached Figure Description

[0015] Figure 1 This is a schematic diagram of the structure of a child respiratory nebulization flow monitoring device in the hardware operating environment involved in the embodiments of the present invention; Figure 2 This is a flowchart illustrating the first embodiment of a method for monitoring the flow rate of nebulized respiratory tract infection in children according to the present invention. Figure 3 This is a flowchart illustrating a second embodiment of a method for monitoring the flow rate of a child's respiratory nebulization according to the present invention.

[0016] The realization of the objective, functional features and advantages of the present invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0017] It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

[0018] Reference Figure 1 , Figure 1 This is a schematic diagram of the structure of a child respiratory nebulization flow monitoring device in the hardware operating environment of an embodiment of the present invention.

[0019] like Figure 1 As shown, the pediatric nebulizer flow monitoring device may include: a processor 1001, such as a central processing unit (CPU), a communication bus 1002, an interactive device 1003, a network interface 1004, and a memory 1005. The communication bus 1002 is used to enable communication between these components. The interactive device 1003 may include a display screen and an input unit such as a keyboard. Optionally, the interactive device 1003 may also be connected to the communication bus via a standard wired interface or a wireless interface. The network interface 1004 may optionally include a standard wired interface or a wireless interface (such as a Wi-Fi interface). The memory 1005 may be a high-speed random access memory (RAM) or a stable non-volatile memory (NVM), such as a disk drive. Optionally, the memory 1005 may also be a storage device independent of the aforementioned processor 1001.

[0020] Those skilled in the art will understand that Figure 1 The structure shown does not constitute a limitation on the child respiratory nebulizer flow monitoring device and may include more or fewer components than shown, or combine certain components, or have different component arrangements.

[0021] like Figure 1 As shown, the memory 1005, which serves as a storage medium, may include an operating system, a data storage module, a network communication module, a user interface module, and a child respiratory nebulization flow monitoring program.

[0022] exist Figure 1In the illustrated pediatric respiratory nebulization flow monitoring device, the network interface 1004 is mainly used for data communication with other devices; the interactive device 1003 is mainly used for data interaction with the user; the processor 1001 and memory 1005 in the pediatric respiratory nebulization flow monitoring device of the present invention can be set in the pediatric respiratory nebulization flow monitoring device, and the pediatric respiratory nebulization flow monitoring device calls the pediatric respiratory nebulization flow monitoring program stored in the memory 1005 through the processor 1001 and executes the pediatric respiratory nebulization flow monitoring method provided in the embodiment of the present invention.

[0023] This invention provides a method for monitoring the flow rate of nebulized respiratory tract infections in children, referring to... Figure 2 , Figure 2 This is a flowchart illustrating the first embodiment of a method for monitoring the flow rate of nebulized respiratory tract in children according to the present invention.

[0024] In this embodiment, the method is applied to a nebulizing device, which includes: an inhalation valve, a bypass exhaust port, a pressure sensor, and an air flow sensor. The pressure sensor is located on the air supply side of the inhalation valve, and the air flow sensor is located on the bypass exhaust port on the mask side of the inhalation valve. The method for monitoring the nebulization flow rate of a child's breathing includes the following steps: Step S1: Control the pressure sensor to collect pressure data and control the air flow sensor to collect flow data; In this embodiment, the inhalation valve is a one-way valve. For nebulizers, the airflow typically passes sequentially through the inlet channel, nebulization chamber, nebulization channel, exhaust pipe, and mask. In this embodiment, the inhalation valve is located at the connection between the exhaust pipe and the mask, thereby preventing waste gas from flowing back into the device during the child's exhalation. Specifically, it should be explained that masks are currently divided into disposable masks and durable silicone masks. Generally, durable silicone masks require exclusive use by the same patient and must be disinfected after use. In this embodiment, the nebulizer is preferably equipped with only one one-way valve, arranged as described above, i.e., the inhalation valve. In this field, devices with multiple one-way valves can also be used, for example, by adding an extra one-way valve at the bypass exhaust port. However, to accommodate children's characteristics, using only one one-way valve effectively reduces expiratory resistance. This is because setting an exhalation valve requires overcoming the opening pressure of the spring plate or silicone flap, which can easily lead to a poor user experience for children. Setting a through-hole effectively avoids this problem. Specifically, the pressure sensor is installed in the pipe wall on the air supply side of the intake valve, while the air flow sensor is installed by connecting a 20mm long, 2mm inner diameter capillary tube to the atomizer bypass port, and then attaching the thermal MEMS mass flow chip to the pipe wall to collect flow data. Due to the presence of the intake valve, the two sensors actually detect different types of data, and the meanings of the detected data are also different.

[0025] Step S2: Determine the user's breathing characteristics based on the pressure data and the flow data; In this embodiment, the pressure data and flow data are processed according to a preset algorithm to obtain corresponding data features as the user's breathing features. The preset algorithm can vary depending on the type of features to be extracted, and there can be multiple preset algorithms. Different data features are extracted according to different algorithms, and these data features are then used as the user's breathing features.

[0026] Step S3: Generate target control data based on the user's breathing characteristics, and control the operation of the nebulizer based on the target control data.

[0027] In this embodiment, the user's breathing characteristics, especially those of children, are identified during nebulization therapy. Corresponding target control data is generated, which may include prompts issued by the device and adjustments to its operating parameters. The nebulization device is then controlled to operate based on this target control data.

[0028] In this embodiment, by controlling the pressure sensor to collect pressure data and the air flow sensor to collect flow data, the user's breathing characteristics are determined based on the pressure data and the flow data. Target control data is generated based on the user's breathing characteristics, and the nebulizer is controlled to operate based on the target control data. Compared to a nebulizer operating in a single state, this method can monitor the nebulization flow and adjust the operation accordingly to adapt to the user's condition, thereby improving the therapeutic effect on children.

[0029] Furthermore, based on the first embodiment, a second embodiment of the method for monitoring the nebulized respiratory flow of children according to the present invention is proposed. In this embodiment, reference is made to... Figure 3 The pressure data and the flow data are sampled at the same time, and the step of determining the user's breathing characteristics based on the pressure data and the flow data includes: Step S21: Determine multiple data groups according to the sampling time and time interval length, wherein each data group includes: pressure sub-data and flow sub-data collected in a continuous time period; In this embodiment, the sampling time and the event interval length group the pressure data and the flow data, with the pressure sub-data being a part of the pressure data and the flow sub-data being a part of the flow data.

[0030] Step S22: Determine the data association features in each data group based on the cross-correlation function to obtain multiple data association features; In this embodiment, the cross-correlation function can be used to calculate data association features in each data group. These data association features include correlation value features and delay features. Since multiple data groups are obtained in this embodiment, multiple data association features can be derived. Based on the changes in these multiple data association features, it can be identified whether the child is in a stable treatment state. Commonly, when a child removes the mask after inhalation, the peak flow rate of the flow data is delayed or disappears, resulting in changes in the correlation value features and delay features.

[0031] Step S23: Determine the user's breathing characteristics based on multiple data association features, the pressure features corresponding to the pressure data, and the flow features corresponding to the flow data.

[0032] In this embodiment, the user's breathing characteristics are determined based on multiple data association features, the pressure features corresponding to the pressure data, and the flow features corresponding to the flow data.

[0033] In this embodiment, multiple data groups are determined according to the sampling time and the length of the time interval. Data association features in each data group are determined according to the cross-correlation function to obtain multiple data association features. The user's breathing features are determined according to the multiple data association features, the pressure features corresponding to the pressure data, and the flow features corresponding to the flow data, thereby improving the accuracy of the breathing features.

[0034] Furthermore, based on the first or second embodiment, a third embodiment of the method for monitoring nebulized respiratory flow in children according to the present invention is proposed. In this embodiment, the step of determining the data association features in each data group according to the cross-correlation function to obtain multiple data association features includes: Each of the data groups is processed according to a preprocessing algorithm to obtain multiple standard data groups to be processed; The correlation value sequence is determined based on the cross-correlation function, the pressure sub-data and flow sub-data corresponding to the standard unprocessed data group; The correlation value features and delay features are determined based on the correlation value sequence.

[0035] The data association features are defined based on the correlation value features and the delay features.

[0036] In this embodiment, a preprocessing algorithm processes each data group to ensure that the data in each group is standardized. The preprocessing algorithm is primarily used for noise reduction, for example, by adjusting the data through filtering algorithms. Furthermore, normalization is used to ensure that differences in the units of measurement of the data are excluded. The calculation formula is as follows:

[0037] Where N is the number of samples in the data group, t is the time period, and... Here, the pressure sub-data corresponding to time t is... For traffic sub-data, here for The corresponding relevant values. In this embodiment, multiple different values ​​can be obtained. For the corresponding correlation values, multiple correlation values ​​calculated for the same data group are sorted. Based on the sorting results, correlation value features and lag features are determined. Specifically, the highest correlation value is taken as the correlation value feature. This is a delayed feature.

[0038] In this embodiment, each data group is processed by a preprocessing algorithm to obtain multiple standard data groups to be processed. A correlation value sequence is determined based on the cross-correlation function, the pressure sub-data and flow sub-data corresponding to the standard data groups to be processed, and the correlation value features and delay features are determined based on the correlation value sequence. The correlation value features and delay features are used as the data association features to obtain the association between two different data, thereby representing the state of the child using the nebulizer.

[0039] Furthermore, based on any of the above embodiments, a fourth embodiment of the method for monitoring the respiratory nebulization flow rate of children according to the present invention is proposed. In this embodiment, before the step of determining the user's respiratory characteristics based on multiple data association features, the pressure features corresponding to the pressure data, and the flow features corresponding to the flow data, the method further includes: The pressure data and the flow data are denoised separately. Extract the pressure features corresponding to the pressure data, including: pressure change rate, pressure peak value, and average pressure; Extract the flow characteristics corresponding to the flow data, including: inspiratory flow integral value, expiratory flow integral value, peak flow rate, and flow rate change frequency.

[0040] It should be noted that, in addition to the features relating the pressure data and the flow data, it is also necessary to obtain the features extracted independently from both.

[0041] In this embodiment, the pressure data and the flow data are denoised separately, and the pressure features corresponding to the pressure data are extracted. In other embodiments, the pressure features may further include at least one of: pressure change frequency and pressure change variance. In other embodiments, the type and number of pressure features, as well as the type and number of flow features, are not limited.

[0042] Furthermore, based on any of the above embodiments, a fifth embodiment of the method for monitoring the nebulized respiratory flow of children according to the present invention is proposed. In this embodiment, the step of generating target control data based on the user's respiratory characteristics includes: A user monitoring identifier is generated based on the user's breathing characteristics and the preset identifier relationship; Target control data is generated based on the user monitoring identifier.

[0043] In this embodiment, the preset identification relationship is a correspondence between respiratory characteristics and monitoring identifiers. Monitoring identifiers and their corresponding conditions are set. When the user's respiratory characteristics meet the conditions corresponding to the monitoring identifier, a corresponding user monitoring identifier is generated. Furthermore, it should be noted that the user's respiratory characteristic data includes multiple features, and the number of generated user monitoring identifiers is not limited. Common identifiers may include: short inspiratory cycle, short expiratory cycle, low mean pressure, high mean pressure, and disordered inspiratory and expiratory rhythms. In this embodiment, the user's usage status can be directly determined through user monitoring identifiers.

[0044] Furthermore, the step of generating target control data based on the user monitoring identifier includes: The user's usage status is determined based on the user monitoring identifier; When the user's breathing rate is too fast, the target control data is determined to be the generation of breathing prompt information; When the user's usage status is that the mask does not fit properly, the target control data is determined to be to generate a mask wearing prompt message; When the user's usage state is low airflow rate, the target control data is determined to be to reduce the atomization output power.

[0045] In this embodiment, it should be explained that children, especially infants and preschoolers, are prone to crying or restlessness when using a mask, leading to shallow, rapid, intermittent, or reduced tidal volume breathing. This significantly reduces drug absorption; therefore, it is necessary to reduce the output volume or synchronize nebulization output with the inspiratory cycle. Furthermore, infants and young children commonly experience low drug deposition efficiency due to narrow airways, inability to generate high inspiratory flow rates, and increased airway turbulence. It is necessary to avoid outputting high-concentration particles that could lead to excessively large particles or deposition in the upper respiratory tract. Additionally, if the mask does not fit properly, the target control data should generate mask-wearing prompts to alert parents or children to make adjustments.

[0046] Furthermore, based on any of the above embodiments, a fifth embodiment of the method for monitoring the respiratory nebulization flow rate of children according to the present invention is proposed. In this embodiment, the first acquisition frequency of the pressure sensor and the second acquisition frequency of the air flow sensor are the same.

[0047] In this embodiment, by setting the same acquisition frequency, it can be ensured that the amount of data for two different types of data is the same.

[0048] Furthermore, this invention also proposes a child respiratory nebulization flow monitoring device, applied to a nebulization device. The nebulization device includes: an inhalation valve, a bypass exhaust port, a pressure sensor, and an air flow sensor. The pressure sensor is disposed on the air supply side of the inhalation valve, and the air flow sensor is disposed on the bypass exhaust port on the mask side of the inhalation valve. The child respiratory nebulization flow monitoring device includes: The data acquisition module is used to control the pressure sensor to acquire pressure data and to control the air flow sensor to acquire flow data. The analysis module is used to determine the user's breathing characteristics based on the pressure data and the flow data; The control module is used to generate target control data based on the user's breathing characteristics, and to control the operation of the nebulization device based on the target control data. The child breathing nebulization flow monitoring device can implement the steps of any of the above-described child breathing nebulization flow monitoring methods.

[0049] Furthermore, this invention also proposes a child respiratory nebulization flow monitoring device, which includes: a memory, a processor, and a child respiratory nebulization flow monitoring program stored in the memory and executable on the processor. The child respiratory nebulization flow monitoring program is configured to implement the steps of the child respiratory nebulization flow monitoring method described above.

[0050] Furthermore, this embodiment of the invention also proposes a storage medium storing a child respiratory nebulization flow monitoring program, which, when executed by a processor, implements the steps of the child respiratory nebulization flow monitoring method described above.

[0051] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or system. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or system that includes that element.

[0052] The sequence numbers of the above embodiments of the present invention are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0053] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) as described above, and includes several instructions to cause a terminal device (which may be a mobile phone, computer, server, or network device, etc.) to execute the methods described in the various embodiments of the present invention.

[0054] The above are merely preferred embodiments of the present invention and do not limit the scope of the patent. Any equivalent structural or procedural transformations made based on the description and drawings of the present invention, or direct or indirect applications in other related technical fields, are similarly included within the scope of patent protection of the present invention.

Claims

1. A method of monitoring the flow of a respiratory aerosol for a child, characterized in that, The application is applied to an atomization device, which comprises an air suction valve, a bypass exhaust hole, a pressure sensor and an air flow sensor, the pressure sensor is arranged on the air supply side of the air suction valve, the air flow sensor is arranged on the bypass exhaust hole on the mask side of the air suction valve, and the child respiratory atomization flow monitoring method comprises the following steps: The pressure data is collected by the pressure sensor, and the flow data is collected by the air flow sensor; The user breathing characteristics are determined according to the pressure data and the flow data; Target control data is generated according to the user breathing characteristics, and the atomization device is controlled to operate according to the target control data.

2. The method of claim 1, wherein the step of monitoring the flow rate of the respiratory mist comprises the step of: The sampling time of the pressure data and the flow data is the same, and the step of determining the user breathing characteristics according to the pressure data and the flow data comprises: ​ A plurality of data groups are determined according to the sampling time and the time interval length, wherein each data group comprises pressure sub-data and flow sub-data collected in a continuous time; The data correlation characteristics in each data group are determined according to the cross-correlation function, and a plurality of data correlation characteristics are obtained; The user breathing characteristics are determined according to a plurality of data correlation characteristics, pressure characteristics corresponding to the pressure data and flow characteristics corresponding to the flow data.

3. The method of claim 2, wherein the step of monitoring the flow rate of the respiratory mist comprises the step of: The step of determining the data correlation characteristics in each data group according to the cross-correlation function and obtaining a plurality of data correlation characteristics comprises: ​ A plurality of standard to-be-processed data groups are obtained by processing each data group according to a preprocessing algorithm; A correlation value sequence is determined according to the cross-correlation function, pressure sub-data corresponding to the standard to-be-processed data group and flow sub-data; A correlation value characteristic and a delay characteristic are determined according to the correlation value sequence; The correlation value characteristic and the delay characteristic are used as the data correlation characteristics.

4. The method of claim 2, wherein the step of monitoring the flow rate of the respiratory mist comprises the step of: Before the step of determining the user breathing characteristics according to a plurality of data correlation characteristics, pressure characteristics corresponding to the pressure data and flow characteristics corresponding to the flow data, the method further comprises: ​ The pressure data and the flow data are denoised respectively; Pressure characteristics corresponding to the pressure data are extracted, and the pressure characteristics comprise a pressure change rate, a pressure peak value and an average pressure; Flow characteristics corresponding to the flow data are extracted, and the flow characteristics comprise an inhalation flow integral value, an exhalation flow integral value, a peak flow and a flow change frequency.

5. The method of claim 1, wherein the step of monitoring the flow rate of the respiratory mist comprises the step of: The step of generating target control data according to the user breathing characteristics comprises: ​ A user monitoring identifier is generated according to the user breathing characteristics and a preset identifier relationship; Target control data is generated according to the user monitoring identifier.

6. The method of claim 5, wherein the step of monitoring the flow rate of the respiratory mist comprises the step of: The step of generating target control data according to the user monitoring identifier comprises: ​ A user use state is determined according to the user monitoring identifier; When the user use state is a too-fast breathing frequency, the target control data is determined to be a breathing prompt information; When the user use state is a mask misfit, the target control data is determined to be a mask wearing prompt information; When the user use state is a low inhalation flow rate, the target control data is determined to be a reduced atomization output power.

7. The method of claim 1 to 6, wherein, The first acquisition frequency of the pressure sensor and the second acquisition frequency of the air flow sensor are the same.

8. A child respiratory nebulization flow monitoring device, characterized by, The child respiratory nebulization flow monitoring device is applied to a nebulization device, and the nebulization device comprises an inhalation valve, a bypass exhaust hole, a pressure sensor and an air flow sensor. The acquisition module is configured to control the pressure sensor to acquire pressure data and control the air flow sensor to acquire flow data. The analysis module is configured to determine a user respiratory feature according to the pressure data and the flow data. The control module is configured to generate target control data according to the user respiratory feature and control the nebulization device to operate according to the target control data.

9. A child respiratory nebulization flow monitoring device, comprising: The child respiratory nebulization flow monitoring device comprises a memory, a processor and a child respiratory nebulization flow monitoring program stored in the memory and executable on the processor.

10. A storage medium, characterized by The storage medium stores a child respiratory nebulization flow monitoring program, and the child respiratory nebulization flow monitoring program is executed by the processor to implement the steps of the child respiratory nebulization flow monitoring method according to any one of claims 1 to 7.

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