Nasal spray administration adjusting device and adjusting method

Abstract

The invention provides a nasal spray drug delivery adjusting device and method, and relates to the technical field of medical instruments, and the nasal spray drug delivery adjusting device is characterized in that a constant-pressure air bag is arranged in a bottle body; the nozzle assembly comprises a flow regulating valve and a nozzle; the administration adjusting module comprises a sensing module, a control module and a Bluetooth module; wherein the drug administration adjusting module conducts self-adaptive analysis on the spraying data and the Bluetooth interaction data to obtain flow adjusting parameters, and the control module controls the flow of the flow adjusting valve according to the flow adjusting parameters. According to the nasal spray dosing device, the technical problems that in a traditional nasal spray dosing device, the liquid medicine spraying pressure is unstable, the dosing amount is difficult to accurately regulate and control, and intelligent monitoring is lacked can be solved, the spraying pressure is stabilized through the constant-pressure air bag structure, the liquid medicine flow is accurately controlled in combination with the flow regulating valve, the dosing accuracy and the intelligent level are improved, and the application range is wide. Meanwhile, the use experience of the patient is enhanced.

Description

Technical Field

[0001] The present application relates to the field of medical device technology, and in particular to a nasal spray drug delivery adjustment device and an adjustment method. Background Art

[0002] Sevoflurane is an inhaled anesthetic widely used in clinical practice. Its excellent pharmacological properties make it the first choice for general anesthesia and short-term surgery. However, the current method of administering sevoflurane mostly relies on large-scale professional anesthesia equipment. These devices are complex in structure and bulky in size, which not only limits the portability of the equipment, but also places high demands on the operating skills of medical staff. This method is difficult to adapt to specific needs such as emergency scenarios and children's resistance to injection treatment. Existing nasal spray drug delivery devices usually have the following technical problems: First, the spray pressure of the drug solution fluctuates as the amount of the drug decreases, resulting in insufficient drug delivery accuracy; second, there is a lack of effective adjustment function, and it is difficult to achieve precise control according to the individual characteristics of the patient such as age and weight; third, there is a lack of intelligent monitoring and remote data interaction functions, and it is impossible to achieve real-time monitoring and data recording of the drug use process, affecting subsequent diagnosis and treatment. Because of the existence of the above problems, the safety and convenience of drug delivery will be explained, and the needs in specific scenarios cannot be met. Summary of the invention

[0003] The purpose of this application is to provide a nasal spray drug delivery adjustment device and an adjustment method to solve the technical problems of unstable drug liquid spray pressure, difficulty in accurately controlling the drug delivery amount, and lack of intelligent monitoring in traditional nasal spray drug delivery devices.

[0004] In view of the above problems, the present application provides a nasal spray drug delivery adjustment device and an adjustment method.

[0005] In the first aspect, the present application provides a nasal spray drug administration adjustment device, which includes: a bottle body, a constant pressure airbag is arranged in the bottle body; a nozzle assembly, the nozzle assembly includes a flow regulating valve and a nozzle, and the constant pressure airbag is driven by squeezing the bottle body, and the medicine is sprayed out through the nozzle; a drug administration adjustment module, the drug administration adjustment module includes a sensor module, a control module and a Bluetooth module, the Bluetooth module is connected to a mobile terminal, the sensor module is used to monitor the spraying data of the nozzle, the control module is used to control the flow of the flow regulating valve, and the Bluetooth module is used to interact with the mobile terminal for data; wherein, the drug administration adjustment module performs adaptive analysis on the spraying data and Bluetooth interaction data to obtain flow regulation parameters, and the control module controls the flow of the flow regulating valve according to the flow regulation parameters.

[0006] In a second aspect, the present application provides a nasal spray drug administration adjustment method, which is implemented by the nasal spray drug administration adjustment device described in the first aspect, wherein the method includes: collecting pressure sensor data and flow sensor data of the nozzle in real time through a sensor module; obtaining user feature data through a Bluetooth module; obtaining a training sample data set, the training sample data set including pressure sensor samples, flow sensor data samples and user feature samples in the same sequence and a label identifying the flow regulation deviation; training the training sample data set according to an initialized random forest regression model, outputting an adaptive analysis model, and embedding the adaptive analysis model in a control module; inputting the pressure sensor data, flow sensor data and user feature data into the control module for adaptive analysis, obtaining a first flow regulation parameter, and controlling the opening of the flow control valve according to the first flow regulation parameter.

[0007] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0008] The device provided in the embodiment of the present application is composed of a bottle body, a nozzle assembly, and a drug administration adjustment module. A constant pressure airbag is arranged in the bottle body; the nozzle assembly includes a flow control valve and a nozzle. The constant pressure airbag is driven by squeezing the bottle body, and the drug liquid is sprayed through the nozzle; the drug administration adjustment module includes a sensor module, a control module and a Bluetooth module. The Bluetooth module is connected to a mobile terminal. The sensor module is used to monitor the spray data of the nozzle, the control module is used to control the flow of the flow control valve, and the Bluetooth module is used to interact with the mobile terminal; wherein the drug administration adjustment module performs adaptive analysis on the spray data and the Bluetooth interaction data to obtain the flow adjustment parameters, and the control module controls the flow of the flow control valve according to the flow adjustment parameters. The technical problems of unstable spray pressure of the drug liquid, difficult to accurately control the dosage, and lack of intelligent monitoring in the traditional nasal spray drug administration device are effectively solved, and the technical effects of stabilizing the spray pressure through the constant pressure airbag structure, accurately controlling the flow of the drug liquid in combination with the flow control valve, improving the accuracy and intelligence of drug administration, and enhancing the user experience of patients are achieved.

[0009] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented according to the contents of the specification, and in order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are specifically cited below. It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present application, nor is it intended to limit the scope of the present application. Other features of the present application will become easy to understand through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] In order to more clearly illustrate the technical solutions in the present application or the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only exemplary, and for ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying any creative work.

[0011] Figure 1 This is a schematic diagram of the structure of the nasal spray drug delivery regulating device of the present application.

[0012] Figure 2 This is a schematic diagram of the process of regulating the nasal spray drug delivery of the present application.

[0013] Description of the reference numerals: bottle body 11 , spray head assembly 12 , dosing adjustment module 13 . DETAILED DESCRIPTION

[0014] The present application solves the technical problems of unstable spray pressure of medicine liquid, difficulty in accurately controlling the dosage and lack of intelligent monitoring in traditional nasal spray medicine liquid delivery devices by providing a nasal spray medicine delivery adjustment device and an adjustment method. The application achieves the technical effect of stabilizing the spray pressure through a constant pressure airbag structure and accurately controlling the flow rate of medicine liquid in combination with a flow regulating valve, thereby improving the accuracy and intelligence of medicine delivery and enhancing the patient's usage experience.

[0015] Below, the technical solutions in the present application will be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments of the present application. It should be understood that the present application is not limited to the example embodiments described herein. Based on the embodiments of the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present application. It should also be noted that, for the convenience of description, only the parts related to the present application are shown in the accompanying drawings, rather than all of them.

[0016] For example, please refer to the attached Figure 1 The present application provides a nasal spray drug delivery adjustment device, which specifically includes the following steps:

[0017] A bottle body 11, wherein a constant pressure air bag is arranged inside the bottle body 11; a nozzle assembly 12, wherein the nozzle assembly 12 comprises a flow regulating valve and a nozzle, and the constant pressure air bag is driven by squeezing the bottle body 11, and the liquid medicine is sprayed out through the nozzle.

[0018] Specifically, the bottle body 11 is designed as a special container, which is made of corrosion-resistant and light-proof medical plastic material. It can effectively protect the liquid medicine from the influence of the external environment and ensure the durability of the device. The capacity range of the bottle body 11 is 10 to 50 ml, and a scale window is provided on the side, which is convenient for visually checking the remaining amount of liquid medicine, thereby helping medical staff to accurately control the dosage. A constant pressure airbag is installed inside the bottle body 11. The function of the constant pressure airbag is to maintain a stable pressure for the liquid medicine to be sprayed, which is not affected by the remaining amount of liquid medicine in the bottle, ensuring that the spraying pressure is consistent throughout the entire use process; the nozzle assembly 12 includes two key parts, namely the flow regulating valve and the nozzle, wherein the flow regulating valve can be adjusted according to the specific needs of the patient (such as age, weight, etc.) The nozzle is made of soft medical silicone material, which can fit different nasal shapes and improve the comfort of use. At the same time, it is designed with multiple micropores, which can atomize the sevoflurane solution into uniform and fine particles, thereby improving the absorption efficiency of the drug. In actual use, the constant pressure airbag is activated by pressing the bottle body 11, and the gas squeezes the liquid medicine to the nozzle, which is evenly sprayed after being atomized by the micropores. The design of the nozzle assembly 12 combines the multi-microporous structure and the flow regulation function, which not only ensures the uniformity of the atomization of the liquid medicine, but also makes the nasal spray drug delivery adjustment device suitable for a variety of clinical scenarios, including first aid, children's anesthesia and other needs, further improving the convenience and accuracy of drug delivery.

[0019] Furthermore, the nozzle is a porous nozzle, and the aperture of the porous nozzle is between 0.1 and 0.3 mm.

[0020] In a preferred embodiment, the nozzle adopts a porous structure design, and the pore size range of its micropores is controlled between 0.1 and 0.3 mm. Such an aperture design can atomize the drug solution into fine and uniform particles, so that the drug solution can more fully cover the nasal surface when sprayed, thereby improving the drug absorption efficiency. In addition, the porous nozzle is combined with medical silicone material, which is not only soft and fits the shape of the nasal cavity, enhancing the patient's comfort, but also effectively avoids the discomfort caused by overly concentrated or strong spraying of the drug solution. This design not only ensures the uniformity of the spray effect, but also improves the safety and comfort of the drug administration process. It is very suitable for medical scenarios that require precise control of dosage and fine spray.

[0021] The drug administration adjustment module 13 includes a sensor module, a control module and a Bluetooth module. The Bluetooth module is connected to a mobile terminal. The sensor module is used to monitor the spraying data of the nozzle. The control module is used to control the flow of the flow regulating valve. The Bluetooth module is used to interact with the mobile terminal. The drug administration adjustment module 13 performs adaptive analysis on the spraying data and the Bluetooth interaction data to obtain flow regulation parameters. The control module controls the flow of the flow regulating valve according to the flow regulation parameters.

[0022] Specifically, the drug administration adjustment module 13 is the core intelligent part of the nasal spray drug administration adjustment device, which is composed of a sensor module, a control module and a Bluetooth module. Among them, the Bluetooth module is responsible for establishing a connection with a mobile terminal (such as a mobile phone or a tablet) to realize real-time data interaction. Through this function, medical staff can remotely view the operating status of the device, adjust drug administration parameters, and record medication data for subsequent diagnosis and treatment. The function of the sensor module is to monitor the spray status of the drug solution of the nozzle in real time, including key data such as spray pressure and flow, and transmit these data to the control module. The control module combines the monitored spray data and the patient-related data (such as age, weight, etc.) obtained from the Bluetooth module for adaptive analysis to generate flow adjustment parameters suitable for the current patient needs. Based on these parameters, the control module will also dynamically adjust the opening of the flow control valve to ensure that the drug solution is stably sprayed at the most appropriate flow rate. This modular design not only realizes precise drug administration, but also supports remote monitoring and data management through the Bluetooth interactive function, making the device more intelligent and convenient. The adaptive analysis further improves the adaptability of the device, and the drug administration method can be dynamically adjusted according to individual differences of patients, thereby significantly improving the drug administration effect and safety.

[0023] Furthermore, the sensing module includes a pressure sensor and a flow sensor, and the pressure sensor and the flow sensor are connected to a built-in chip, and the built-in chip is used to receive and store pressure sensing data and flow sensing data output by the pressure sensor and the flow sensor.

[0024] In a preferred embodiment, the sensing module is composed of a pressure sensor and a flow sensor, which are respectively used to monitor the spray pressure and flow data of the nozzle in real time. The data collected by the sensor will be transmitted to the built-in chip of the device, and the built-in chip is responsible for receiving and storing these data to form a complete medication data record. Among them, the role of the pressure sensor is to ensure that the pressure of the medicine liquid is within a stable range when it is sprayed, thereby avoiding uneven spraying or waste of medicine liquid due to abnormal pressure. The flow sensor is used to monitor the spray speed of the medicine liquid in real time to ensure that the spray volume is in line with the set flow range. Through the cooperation of these two sensors, the spray state of the device can be accurately grasped. The built-in chip, as the core part of the sensing module, not only undertakes the data receiving and storage functions, but also provides data support for subsequent analysis and processing. This design ensures that the sensing module can monitor the operation of the device in real time and efficiently, providing a reliable basis for accurate drug delivery and abnormal alarms.

[0025] Furthermore, the built-in chip is connected to the mobile terminal through the Bluetooth module, including a first transmission channel and a second transmission channel; wherein, the first transmission channel is used to receive user characteristic data of the mobile terminal, and the user characteristic data includes user age, user gender and user weight; the second transmission channel is used to send the pressure sensing data and flow sensing data stored in the built-in chip to the mobile terminal.

[0026] In a feasible implementation, the built-in chip establishes a connection with the mobile terminal through a Bluetooth module, and two data transmission channels are designed to achieve two-way data interaction, wherein the first transmission channel is used to receive the user's characteristic data from the mobile terminal, including the user's age, gender, weight and other information, and these characteristic data will be stored by the built-in chip for subsequent adaptive analysis of the drug administration adjustment module 13 to help optimize the flow parameters of the drug spray and ensure that the drug administration process meets the individual needs of different patients. The second transmission channel is used to transmit the spray data stored in the built-in chip, such as pressure sensor data and flow sensor data, to the mobile terminal. In this way, medical staff can view the operating status of the device in real time through the mobile terminal to understand the current spray situation, or use it to record and analyze medication data to assist in subsequent diagnosis and treatment. This two-way data transmission design not only realizes the precise control of personalized medication for patients, but also improves the transparency and real-time nature of medical data, making it convenient for medical staff to dynamically monitor and adjust the drug administration process, thereby improving medical efficiency and medication safety.

[0027] Furthermore, the built-in chip also includes an early warning module, which obtains abnormal indicators by performing abnormal identification on the pressure sensor data and flow sensor data stored in the built-in chip; if the abnormal indicator is greater than a preset threshold, an early warning signal is generated, and the early warning module issues a medication reminder based on the early warning signal.

[0028] In a feasible implementation, an early warning module is integrated in the built-in chip, and its function is to perform real-time analysis and abnormality detection on the pressure sensor data and flow sensor data stored in the chip. The early warning module compares the pressure sensor data and the flow sensor data with the normal pressure value range and the normal flow value range respectively to determine whether the pressure sensor data and the flow sensor data are greater than the corresponding upper limit or lower limit. For values ​​greater than the upper limit, the sensor data and the upper limit are calculated as a difference. For values ​​less than the lower limit, the lower limit and the sensor data are calculated as a difference. All differences are then accumulated to obtain an abnormality index. When the abnormality index exceeds a preset safety threshold, the early warning module generates an early warning signal. After the early warning signal is triggered, the early warning module issues a medication reminder in an appropriate manner, for example, by displaying a warning message or issuing a sound prompt on a mobile terminal to remind the patient or medical staff to check the status of the device or adjust the usage parameters in time. This design can quickly discover and respond to problems that may occur during the spraying of the drug solution, such as excessive spraying pressure, abnormal flow, etc., to ensure the safety and effectiveness of medication.

[0029] In summary, the nasal spray drug delivery adjustment device provided in the embodiments of the present application has the following technical effects:

[0030] Bottle body 11, wherein a constant pressure airbag is arranged inside the bottle body 11; nozzle assembly 12, wherein the nozzle assembly 12 includes a flow regulating valve and a nozzle, wherein the constant pressure airbag is driven by squeezing the bottle body 11, and the liquid medicine is sprayed out through the nozzle; drug administration regulating module 13, wherein the drug administration regulating module 13 includes a sensor module, a control module and a Bluetooth module, wherein the Bluetooth module is connected to a mobile terminal, wherein the sensor module is used to monitor the spray data of the nozzle, the control module is used to control the flow of the flow regulating valve, and the Bluetooth module is used to interact with the mobile terminal for data; wherein the drug administration regulating module 13 performs adaptive analysis on the spray data and the Bluetooth interaction data, obtains the flow regulating parameters, and the control module controls the flow of the flow regulating valve according to the flow regulating parameters. Through the above steps, the technical problems of unstable spray pressure of the liquid medicine, difficulty in precise control of the dosage, and lack of intelligent monitoring in the traditional nasal spray drug administration device are solved, and the technical effect of stabilizing the spray pressure through the constant pressure airbag structure, precisely controlling the liquid medicine flow in combination with the flow regulating valve, improving the drug administration accuracy and intelligence level, and enhancing the patient's use experience is achieved.

[0031] Embodiment 2, based on the same inventive concept as the nasal spray drug delivery regulating device in the previous embodiment, Figure 2 As shown, the embodiment of the present application provides a method for regulating nasal spray administration, the method comprising:

[0032] S100: Collect the pressure sensor data and flow sensor data of the nozzle in real time through the sensor module; S200: Obtain the user feature data through the Bluetooth module; S300: Obtain a training sample data set, the training sample data set includes pressure sensor samples, flow sensor data samples and user feature samples in the same sequence and a label identifying the flow regulation deviation; S400: Train the training sample data set according to the initialized random forest regression model, output an adaptive analysis model, and embed the adaptive analysis model in the control module; S500: Input the pressure sensor data, flow sensor data and user feature data into the control module for adaptive analysis, obtain the first flow regulation parameter, and control the opening of the flow control valve according to the first flow regulation parameter.

[0033] Specifically, the sensor module collects the pressure sensor data and flow sensor data of the nozzle in real time. These data reflect the spraying status of the liquid medicine during the operation of the device and are the basis for subsequent analysis and adjustment. The Bluetooth module then obtains the patient's characteristic information from the mobile terminal, such as age, gender and weight. This information serves as the key input for personalized adjustment to ensure that the drug administration process can adapt to the needs of different patients. Subsequently, historical data is collected to construct a training sample data set, including the pressure sensor data and flow sensor data of the nozzle in different time series, user characteristic data, and deviation labels for measuring the accuracy of flow regulation. This flow regulation deviation label table The deviation between the initial flow regulation parameters (such as flow rate, spray angle, etc., which are 0 by default) and the theoretically optimal flow regulation parameters is shown to guide model optimization; then, the training sample data set is divided into a training set and a validation set. The training set is used to build the model, and the validation set is used to evaluate the performance of the model. In the process of building the random forest regression model, the hyperparameters of the random forest regression model are initialized first, including the number of decision trees (such as 100 or 200), the maximum depth of each tree, and the splitting criterion (such as mean square error MSE). The model uses the Bootstrap sampling method to randomly select a part of the samples from the training set to build each decision tree. When selecting a subset of sample features as the basis for splitting, this randomness ensures the diversity and generalization ability of the model. In the construction of the decision tree, the model calculates the error reduction of the candidate split nodes, selects the best split point, and constructs the decision tree layer by layer until the maximum depth is reached or the minimum number of split samples is met. After each decision tree is trained, it can output a regression prediction value for the input sample, representing the deviation of the flow regulation parameters under the current conditions; in the integration stage of the model, the random forest generates the final flow regulation parameter prediction value by combining the prediction values ​​of all decision trees and using the weighted average method, where the weight of each decision tree is based on the prediction of the decision tree. The accuracy is determined; in the verification stage, the verification set samples are input into the trained random forest regression model, the error indicators of the model (such as mean square error MSE, mean absolute error MAE) are calculated, and the accuracy and generalization ability of the model are evaluated through the verification results. If the model performance is poor, the hyperparameters are adjusted or cross-validation is introduced to further improve the robustness of the model; finally, the trained random forest regression model will be embedded in the control module as an adaptive analysis model to process the pressure and flow data collected by the sensor module and the user feature information in real time, so as to dynamically generate accurate flow adjustment parameters to ensure the stability and personalized adaptability of the liquid spraying process.

[0034] Furthermore, after obtaining the first flow adjustment parameter, the method further includes:

[0035] S510: Upload nasal modeling data according to the mobile terminal; generate a nasal simulation model according to the nasal modeling data; S520: When analyzing the pressure sensor data, flow sensor data and the user characteristic data, call the nasal simulation model to evaluate the user comfort of the first flow adjustment parameter and output a user comfort index; S530: If the user comfort index does not meet the preset threshold, obtain a second flow adjustment parameter, and the second flow adjustment parameter is used to execute the first flow adjustment parameter in stages.

[0036] In a preferred embodiment, the patient's nasal cavity modeling data is uploaded through a mobile terminal. These modeling data can be obtained through medical imaging technology (such as CT, MRI or 3D scanning), and the anatomical structure characteristics of the patient's nasal cavity are described in detail, including parameters such as the length, width, shape and volume of the nasal cavity. These data are transmitted to the control module of the device for building a dedicated nasal cavity simulation model; then, according to the uploaded nasal cavity modeling data, the control module generates a nasal cavity simulation model by calling a connected 3D modeling software (such as ANSYS, Simulink or OpenFOAM), accurately restores the internal structure of the patient's nasal cavity, and simulates the distribution and flow of atomized particles of the drug solution in the nasal cavity. The model can dynamically evaluate the influence of different spray parameters (such as flow rate, spray angle) on the distribution of drugs in the nasal cavity, nasal coverage, etc.; when analyzing the pressure sensor data, flow sensor data and user characteristic data, the control module calls the nasal cavity simulation model to evaluate the user comfort of the first flow adjustment parameter corresponding to the pressure sensor data, flow sensor data and user characteristic data, and the simulation model is based on the first flow adjustment parameter and the nasal cavity structure. Perform liquid medicine spray simulation, and record data such as liquid medicine particle concentration distribution, liquid medicine flow rate, and effective area covered by liquid medicine; then, calculate the standard deviation and average value of liquid medicine particle concentration according to the liquid medicine particle concentration distribution, and perform ratio calculation on the calculated standard deviation and average value, and then use 1 to subtract this ratio to obtain the uniformity of liquid medicine particle distribution, and obtain the flow velocity impact coefficient according to the ratio of the liquid medicine flow rate to the maximum comfortable flow rate allowed by the nasal cavity simulation model, and obtain the nasal cavity coverage rate according to the ratio of the effective area covered by liquid medicine to the total area of ​​the nasal cavity. By performing mean calculation on the calculated liquid medicine particle distribution uniformity, flow velocity impact coefficient, and nasal cavity coverage rate, a user comfort index is obtained. This user comfort index is output as a quantitative result of the user's comfort condition for further judgment. If the user comfort index does not reach the preset comfort threshold, it means that the one-time adjustment effect on the patient is not good under the current situation. At this time, the preset adjustment steps (such as 3 to 5 steps, which are determined based on historical experience and expert decision-making) will be matched according to the user comfort index, and the first flow adjustment parameter will be adjusted in stages according to the matched adjustment steps. In this process, the parameter update formula Calculate the flow adjustment parameters of each stage to obtain the second flow adjustment parameters, where P i is the flow regulation parameter of the i-th stage in the second flow regulation parameter, P current is the current flow regulation parameter, i is the current adjustment stage, from 1 to N, N is the total number of steps in each stage, P target is the first flow adjustment parameter; the second flow adjustment parameter is regulated by executing the first flow adjustment parameter in stages. For example, a lower flow rate is used or the spray angle is reduced to reduce irritation in the initial stage, and then gradually transition to the optimal spray parameter to ensure both effective coverage of the drug and improved patient comfort. The entire process is adjusted through real-time feedback and dynamic adjustment, which not only improves the personalization of drug delivery, but also significantly improves the patient's comfort in taking the drug. It is especially suitable for sensitive people or patients with complex nasal structures.

[0037] Furthermore, after obtaining the first flow adjustment parameter, the method further includes:

[0038] S540: recording the flow test data set of the flow control valve at various openings; S550: performing flow loss analysis on the flow test data set, outputting a flow loss coefficient, compensating and optimizing the first flow control parameter according to the flow loss coefficient, and outputting a third flow control coefficient.

[0039] In a preferred embodiment, by setting different openings of the flow control valve (such as 10%, 20%, 50%, etc.), the actual spray flow data corresponding to each opening are collected, and these data are recorded in real time by a flow sensor and paired with the corresponding regulating valve opening to form a flow test data set. The content of the data set includes multiple groups of mapping relationships between the regulating valve opening and the actual flow data for subsequent analysis; after obtaining the flow test data set, the theoretical flow under ideal conditions is calculated based on the valve characteristic formula or empirical curve. For example, the ideal flow can be expressed as a relationship proportional to the square of the regulating valve opening; then, each group of actual flow and the corresponding theoretical flow are subjected to flow loss analysis, the flow loss at each opening is calculated by absolute difference calculation, and then the flow loss coefficient is obtained by the ratio of the flow loss at each opening to the ideal flow; then, based on multiple groups of flow The flow loss coefficient and the corresponding loss coefficient curve are fitted by quadratic polynomial regression to establish a flow loss model. The loss model can reflect the law of flow loss under different openings, and provide a basis for subsequent compensation optimization; then, according to the calculated flow loss model, the first flow adjustment parameter is compensated and optimized. Specifically, for the first flow adjustment parameter, the opening of the flow control valve used in this adjustment is input into the loss model to calculate the corresponding flow loss coefficient, and then the first flow adjustment parameter is divided by 1 and the difference between the flow loss coefficient to calculate the compensated adjustment parameter. The purpose of compensation optimization is to eliminate the influence of flow loss on the adjustment accuracy, so as to ensure that the actual flow can be close to the first flow adjustment parameter; finally, the compensated adjustment parameter is output as the third flow adjustment parameter, which is used to control the flow control valve to ensure the accuracy and stability of flow control.

[0040] In summary, the nasal spray drug delivery adjustment method provided in the embodiments of the present application has the following technical effects:

[0041] The pressure and flow sensor data of the nozzle are collected in real time through the sensor module, and the user feature data is obtained in combination with the Bluetooth module to form a training sample data set. After training with the initialized random forest regression model, an adaptive analysis model is generated and embedded in the control module; subsequently, the first flow adjustment parameter is analyzed and the opening of the regulating valve is controlled by inputting the real-time collected data and user features. At the same time, the nasal cavity modeling data is uploaded through the mobile terminal to generate a nasal cavity simulation model. The comfort of the first flow adjustment parameter is evaluated in combination with the pressure, flow and user feature data, and the second flow adjustment parameter is obtained when the indicator does not meet the preset threshold, and the adjustment is performed in stages; in addition, by recording the flow data at each opening of the regulating valve, the flow loss analysis is performed and the loss coefficient is calculated, the first flow adjustment parameter is compensated and optimized according to the loss coefficient, and finally the third flow adjustment coefficient is output to further improve the accuracy of the adjustment and the comfort of the user.

[0042] Any step of the method described above can be stored as a computer instruction or program in an unlimited computer memory, and can be called and recognized by an unlimited computer processor to implement any method in the embodiments of the present application, without any unnecessary restrictions.

[0043] Furthermore, the first or second mentioned above may not only represent an order relationship, but may also represent a specific concept, and / or refer to the selection of multiple elements individually or in whole. Obviously, those skilled in the art may make various changes and modifications to the present application without departing from the scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the present application and its equivalent technologies, the present application intends to include these modifications and variations.

Claims

1. A nasal spray drug delivery regulating device, characterized in that: The device comprises: A bottle body, wherein a constant pressure air bag is arranged in the bottle body; A nozzle assembly, the nozzle assembly comprising a flow regulating valve and a nozzle, the constant pressure airbag is driven by squeezing the bottle body, and the liquid medicine is sprayed out through the nozzle; A drug administration adjustment module, the drug administration adjustment module includes a sensor module, a control module and a Bluetooth module, the Bluetooth module is connected to a mobile terminal, the sensor module is used to monitor the spray data of the nozzle, the control module is used to control the flow rate of the flow control valve, and the Bluetooth module is used to exchange data with the mobile terminal; The drug administration regulating module adaptively analyzes the ejection data and the Bluetooth interaction data to obtain flow regulating parameters, and the control module controls the flow of the flow regulating valve according to the flow regulating parameters.

2. The device according to claim 1, characterized in that The sensing module includes a pressure sensor and a flow sensor, and the pressure sensor and the flow sensor are connected to a built-in chip, and the built-in chip is used to receive pressure sensing data and flow sensing data output by the pressure sensor and the flow sensor for storage.

3. The device according to claim 2, characterized in that The built-in chip is connected to the mobile terminal via the Bluetooth module, including a first transmission channel and a second transmission channel; Wherein, the first transmission channel is used to receive user characteristic data of the mobile terminal, and the user characteristic data includes user age, user gender and user weight; The second transmission channel is used to send the pressure sensing data and flow sensing data stored in the built-in chip to the mobile terminal.

4. The device according to claim 2, characterized in that The built-in chip also includes an early warning module, which obtains abnormal indicators by performing abnormal identification on the pressure sensor data and flow sensor data stored in the built-in chip; If the abnormal index is greater than a preset threshold, a warning signal is generated, and the warning module issues a medication reminder according to the warning signal.

5. The device according to claim 1, characterized in that The nozzle is a multi-hole nozzle, and the aperture of the multi-hole nozzle is between 0.1 and 0.3 mm.

6. A method for regulating nasal spray administration, characterized in that: The method comprises: The pressure sensing data and flow sensing data of the nozzle are collected in real time through the sensing module; Obtain user feature data through the Bluetooth module; Acquire a training sample data set, wherein the training sample data set includes pressure sensing samples, flow sensing data samples, user feature samples, and labels identifying flow regulation deviations in a simultaneous manner; Training the training sample data set according to the initialized random forest regression model, outputting an adaptive analysis model, and embedding the adaptive analysis model in a control module; The pressure sensing data, the flow sensing data and the user characteristic data are input into the control module for adaptive analysis to obtain a first flow regulating parameter, and the opening of the flow regulating valve is controlled according to the first flow regulating parameter.

7. The method according to claim 6, characterized in that After obtaining the first flow adjustment parameter, the method further includes: Upload nasal cavity modeling data through mobile terminals; Generate a nasal cavity simulation model according to the nasal cavity modeling data; When analyzing the pressure sensing data, the flow sensing data and the user characteristic data, calling the nasal cavity simulation model to evaluate the user comfort of the first flow adjustment parameter, and outputting a user comfort index; If the user comfort index does not meet the preset threshold, a second flow adjustment parameter is obtained, and the second flow adjustment parameter is used to execute the first flow adjustment parameter in stages.

8. The method according to claim 6, characterized in that After obtaining the first flow adjustment parameter, the method further includes: Recording flow test data sets of the flow control valve at various opening degrees; Perform flow loss analysis on the flow test data set, output a flow loss coefficient, perform compensation optimization on the first flow adjustment parameter according to the flow loss coefficient, and output a third flow adjustment coefficient.

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