NON-CONTACT MEDICINE VAPOR DELIVERY METHOD AND APPARATUS FOR TREATING allergic rhinitis

Abstract

The invention discloses a non-contact medicine steam conveying method for treating allergic rhinitis. The non-contact medicine steam conveying method comprises the steps that treatment requirement parameters of a patient are obtained; constructing a multi-dimensional sensing system according to the treatment demand parameters; a real-time steam temperature value, a medicine steam concentration value, environment temperature and humidity and air flowing parameters in the steam conveying process are collected; according to the real-time steam temperature value, the medicine steam concentration value, the environment temperature and humidity and the air flow parameters, initial PID parameters are calculated through a machine algorithm; based on data fed back by the multi-dimensional sensing system, PID parameters are dynamically adjusted in real time so as to ensure that output real-time medicine steam temperature values, medicine steam concentration values, environment temperature and humidity, air flow parameters and treatment demand parameters are matched. The invention further provides non-contact type medicine steam conveying equipment for treating the allergic rhinitis. Through a PID algorithm and a real-time feedback mechanism, parameters can be automatically adjusted according to requirements of a patient in the treatment process, and the treatment efficiency and accuracy are improved.

Description

Technical Field

[0001] The present application relates to the technical field of rhinitis treatment, and in particular to a non-contact drug vapor delivery method and device for treating allergic rhinitis. Background Art

[0002] Allergic rhinitis is a common chronic inflammatory disease, whose main symptoms include nasal congestion, runny nose, sneezing and nasal itching, which seriously affect the patient's quality of life. Existing treatments mainly include oral medications, nasal sprays and physical therapy, but these methods have certain limitations. For example, oral medications may cause systemic side effects, while the local absorption efficiency of nasal sprays is not high and can easily cause damage to the nasal mucosa. Physical therapy equipment is mostly contact-type design, which may cause cross-infection, especially in public places or hospital environments, this problem is particularly prominent.

[0003] In recent years, steam therapy, as a non-contact treatment method, has gradually attracted attention because of its gentleness, safety and ability to quickly improve nasal ventilation function. However, existing steam delivery equipment still has difficulties in adjusting the steam temperature according to the individual needs of patients in terms of temperature control, drug concentration control and environmental adaptability. As a result, too high a temperature may burn the nasal cavity, and too low a temperature may affect the treatment effect. Summary of the invention

[0004] The purpose of the embodiments of the present application is to provide a non-contact drug vapor delivery method and device for treating allergic rhinitis, so as to solve the technical problem of inaccurate steam temperature regulation.

[0005] In order to solve the above technical problems, the embodiment of the present application provides a non-contact drug vapor delivery method for treating allergic rhinitis, which adopts the following technical solution:

[0006] A non-contact drug vapor delivery method for treating allergic rhinitis comprises the following steps:

[0007] Obtaining the patient's treatment requirement parameters, including target vapor temperature value, target drug vapor concentration value, and ambient temperature, humidity, and air flow parameters of the patient's environment;

[0008] According to the treatment demand parameters, a multi-dimensional sensing system is constructed, including a temperature sensor, a humidity sensor, a drug concentration detection module, and an environmental interference factor acquisition module;

[0009] Collect real-time steam temperature, drug vapor concentration, ambient temperature, humidity and air flow parameters during steam delivery;

[0010] Calculating initial PID parameters through a machine algorithm according to the real-time steam temperature value, drug vapor concentration value, ambient temperature and humidity, and air flow parameters;

[0011] Based on the data fed back by the multi-dimensional sensing system, the PID parameters are adjusted dynamically in real time to ensure that the output real-time drug vapor temperature value, drug vapor concentration value, and environmental temperature, humidity, and air flow parameters match the treatment demand parameters.

[0012] In a possible implementation, it further includes:

[0013] When the ambient temperature, humidity and air flow parameters of the patient's environment change, the steam output power, output wind speed and flow direction are adjusted in real time according to the preset interference factors.

[0014] In a possible implementation, in the step of dynamically adjusting the PID parameters in real time based on the data fed back by the multi-dimensional sensing system to ensure that the output real-time drug vapor temperature value, drug vapor concentration value, ambient temperature and humidity, and air flow parameters match the treatment requirement parameters, a control formula is established according to the real-time dynamic adjustment of the PID parameters: Where u(t) is the control output, e(t) = T target -T real , is the deviation between the target steam temperature and the real-time steam temperature, K p is the proportionality coefficient, K i is the integration coefficient, K d is the differential coefficient.

[0015] In a possible implementation, after the step of dynamically adjusting the PID parameters in real time based on the data fed back by the multi-dimensional sensing system to ensure that the output real-time drug vapor temperature value, drug vapor concentration value, and ambient temperature and humidity and air flow parameters match the treatment requirement parameters, the step further includes:

[0016] Collect historical treatment data of patients, including their comfort and treatment effects during treatment;

[0017] Analyzing the historical treatment data and establishing a prediction model;

[0018] The PID parameters are adaptively adjusted according to the environmental change trend in the prediction model.

[0019] In a possible implementation, in the step of adaptively adjusting the PID parameters according to the environmental change trend in the prediction model, the formula for calculating the PID parameters is: K p =f1(D env ,C med ),K i =f2(Denv ,C med ),K d =f3(D env ,C med ), where d env is the set of environmental parameters, C med is the drug vapor concentration set.

[0020] In a possible embodiment, in the step of constructing a multidimensional perception system according to the treatment demand parameters, including a temperature sensor, a humidity sensor, a drug concentration detection module, and an environmental interference factor acquisition module, the multidimensional perception system also includes a physiological monitoring module, and the physiological monitoring module is used to obtain the patient's physiological parameters in real time, and the physiological parameters include body temperature, respiratory rate, nasal temperature and humidity.

[0021] In a possible implementation, after the step of constructing a multi-dimensional sensing system according to the treatment requirement parameters, including a temperature sensor, a humidity sensor, a drug concentration detection module, and an environmental interference factor acquisition module, the following further comprises:

[0022] Based on the physiological parameters, adjusting PID parameters;

[0023] Evaluate the effect of PID parameter adjustment and obtain evaluation results;

[0024] Based on the evaluation results, a PID adjustment model is established.

[0025] In order to solve the above technical problems, the embodiment of the present application also provides a non-contact drug vapor delivery device for treating allergic rhinitis, which adopts the following technical solution:

[0026] A non-contact drug vapor delivery device for treating allergic rhinitis, comprising:

[0027] An acquisition module is used to acquire the patient's treatment requirement parameters, including a target vapor temperature value, a target drug vapor concentration value, and ambient temperature, humidity, and air flow parameters of the patient's environment;

[0028] A construction module, used to construct a multi-dimensional sensing system according to the treatment demand parameters, including a temperature sensor, a humidity sensor, a drug concentration detection module and an environmental interference factor acquisition module;

[0029] The collection module is used to collect the real-time steam temperature value, drug vapor concentration value, ambient temperature and humidity, and air flow parameters during the steam delivery process;

[0030] A calculation module, used to calculate initial PID parameters through a machine algorithm according to the real-time steam temperature value, the drug vapor concentration value, the ambient temperature and humidity, and the air flow parameters;

[0031] The adjustment module is used to dynamically adjust the PID parameters in real time based on the data fed back by the multi-dimensional sensing system to ensure that the output real-time drug vapor temperature value, drug vapor concentration value, ambient temperature and humidity, and air flow parameters match the treatment demand parameters.

[0032] In order to solve the above technical problems, the embodiment of the present application further provides a computer device, which adopts the following technical solution:

[0033] A computer device comprises a memory and a processor, wherein the memory stores computer-readable instructions, and when the processor executes the computer-readable instructions, the steps of the non-contact drug vapor delivery method for treating allergic rhinitis as described above are implemented.

[0034] In order to solve the above technical problems, the embodiment of the present application further provides a computer-readable storage medium, which adopts the following technical solution:

[0035] A computer-readable storage medium stores computer-readable instructions, which, when executed by a processor, implement the steps of the non-contact drug vapor delivery method for treating allergic rhinitis as described above.

[0036] Compared with the prior art, the embodiments of the present application have the following beneficial effects:

[0037] The non-contact drug vapor delivery method for treating allergic rhinitis disclosed in the present application obtains the patient's treatment demand parameters, including the target steam temperature value, the target drug vapor concentration value, and the ambient temperature, humidity and air flow parameters of the patient's environment; then, according to the treatment demand parameters, a multidimensional perception system is constructed, including a temperature sensor, a humidity sensor, a drug concentration detection module and an environmental interference factor acquisition module; then, the real-time steam temperature value, drug vapor concentration value, ambient temperature, humidity and air flow parameters in the steam delivery process are collected; then, the initial PID parameters are calculated by the machine algorithm according to the real-time steam temperature value, drug vapor concentration value, ambient temperature, humidity and air flow parameters; then, based on the data fed back by the multidimensional perception system, the PID parameters are adjusted dynamically in real time to ensure that the output real-time drug vapor temperature value, drug vapor concentration value, ambient temperature, humidity and air flow parameters match the treatment demand parameters. This application uses the PID algorithm and real-time feedback mechanism, and the treatment process can automatically adjust the parameters according to the patient's needs without manual intervention, thereby improving the treatment efficiency and accuracy. In addition, the meticulous regulation of factors such as temperature, humidity, and steam concentration also greatly improves the patient's comfort and reduces the discomfort during the treatment process. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] In order to more clearly illustrate the scheme in the present application, a brief introduction is given below to the drawings required for use in the description of the embodiments of the present application. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0039] Figure 1 is an exemplary system architecture diagram to which the present application may be applied;

[0040] Figure 2 is a flow chart of an embodiment of a non-contact drug vapor delivery method for treating allergic rhinitis according to the present application;

[0041] Figure 3 is a structural schematic diagram of an embodiment of a non-contact drug vapor delivery device for treating allergic rhinitis according to the present application;

[0042] Figure 4 It is a structural diagram of an embodiment of a computer device according to the present application. DETAILED DESCRIPTION

[0043] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by technicians in the technical field of the present application; the terms used in the specification of the application herein are only for the purpose of describing specific embodiments and are not intended to limit the present application; the terms "including" and "having" and any variations thereof in the specification and claims of the present application and the above-mentioned drawings are intended to cover non-exclusive inclusions. The terms "first", "second", etc. in the specification and claims of the present application or the above-mentioned drawings are used to distinguish different objects, not to describe a specific order.

[0044] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0045] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the accompanying drawings.

[0046] like Figure 1As shown, the system architecture 100 may include terminal devices 101, 102, 103, a network 104 and a server 105. The network 104 is used to provide a medium for communication links between the terminal devices 101, 102, 103 and the server 105. The network 104 may include various connection types, such as wired, wireless communication links or optical fiber cables, etc.

[0047] Users can use terminal devices 101, 102, 103 to interact with server 105 through network 104 to receive or send messages, etc. Various communication client applications can be installed on terminal devices 101, 102, 103, such as web browser applications, shopping applications, search applications, instant messaging tools, email clients, social platform software, etc.

[0048] Terminal devices 101, 102, 103 can be various electronic devices with display screens and supporting web browsing, including but not limited to smart phones, tablet computers, e-book readers, MP3 (Moving Picture Experts Group Audio Layer III) players, MP4 (Moving Picture Experts Group Audio Layer IV) players, laptop computers, desktop computers, etc.

[0049] The server 105 may be a server that provides various services, such as a background server that provides support for web pages displayed on the terminal devices 101 , 102 , and 103 .

[0050] It should be noted that the non-contact drug vapor delivery method for treating allergic rhinitis provided in the embodiment of the present application is generally executed by a server, and accordingly, the non-contact drug vapor delivery device for treating allergic rhinitis is generally arranged in the server.

[0051] It should be understood that Figure 1 The number of terminal devices, networks and servers in the embodiment is only for illustration. Any number of terminal devices, networks and servers may be provided according to implementation requirements.

[0052] Continue to refer Figure 2 , shows a flow chart of an embodiment of a non-contact drug vapor delivery method for treating allergic rhinitis according to the present application. The non-contact drug vapor delivery method for treating allergic rhinitis comprises the following steps:

[0053] Step S201, obtaining the patient's treatment requirement parameters, including a target steam temperature value, a target drug steam concentration value, and the ambient temperature, humidity, and air flow parameters of the patient's environment.

[0054] In this embodiment, the non-contact drug vapor delivery method for treating allergic rhinitis is run on an electronic device (e.g. Figure 1 The server shown in the figure) can send or receive data through a wired connection or a wireless connection. It should be noted that the above wireless connection method may include but is not limited to 3G / 4G / 5G connection, WiFi connection, Bluetooth connection, WiMAX connection, Zigbee connection, UWB (ultra wideband) connection, and other wireless connection methods currently known or to be developed in the future.

[0055] In this embodiment, before the treatment begins, the patient's target steam temperature, drug vapor concentration, ambient temperature and humidity, and air flow parameters are obtained through sensors or manual input using patient health monitoring equipment (such as smart bracelets, smart thermometers, etc.) or treatment data input by doctors. These data are transmitted to the control system of the treatment device through a wireless transmission module (such as Wi-Fi, Bluetooth). The target steam temperature and drug concentration are set according to individual differences of the patient (such as nasal sensitivity, severity of the disease, etc.), and the ambient temperature and humidity and air flow are automatically detected by external environmental sensors.

[0056] Step S202: constructing a multi-dimensional sensing system according to the treatment requirement parameters, including a temperature sensor, a humidity sensor, a drug concentration detection module, and an environmental interference factor acquisition module.

[0057] In this embodiment, the temperature sensor, humidity sensor, drug concentration detection module and environmental interference factor acquisition module are integrated into a multi-dimensional perception system. The temperature sensor is used to monitor the steam temperature in real time, the humidity sensor monitors the air humidity, the drug concentration detection module is responsible for monitoring the drug concentration in the steam, and the environmental interference factor acquisition module is used to collect parameters that may affect steam delivery, such as air flow rate and air pressure.

[0058] Step S203, collecting the real-time steam temperature value, drug vapor concentration value, and environmental temperature, humidity, and air flow parameters during the steam delivery process.

[0059] In this embodiment, during the drug vapor delivery process, data such as vapor temperature, concentration, ambient temperature and humidity, and air flow are acquired from the sensing system in real time, and these data are continuously transmitted to the control unit through the data acquisition module.

[0060] Step S204, calculating the initial PID parameters through a machine algorithm according to the real-time steam temperature value, the drug vapor concentration value, the ambient temperature and humidity, and the air flow parameters.

[0061] In this embodiment, the control system calculates preliminary PID (proportional-integral-differential) parameters based on the real-time collected temperature, humidity and drug concentration data using a machine learning algorithm or a simple control strategy. These preliminary PID parameters are set as the initial operating parameters of the steam control system for subsequent real-time dynamic adjustment. The PID parameters include:

[0062] Proportional coefficient (Kp): An important parameter used by the controller to adjust the steam temperature, indicating the deviation between the target value and the current value. For example, if the steam temperature is lower than the target temperature, the proportional coefficient will control the increase of the heating power of the equipment.

[0063] Integral coefficient (Ki): It is used to correct the error caused by long-term deviation. If the steam temperature is lower than the target temperature for a long time, the integral coefficient will increase the control strength and eliminate the accumulated error.

[0064] Derivative coefficient (Kd): Used to predict future errors, especially when the steam temperature is close to the target value, the derivative coefficient can prevent over-adjustment.

[0065] The PID control algorithm calculates the sum of proportional, integral and differential terms to obtain a control output (such as heating power or steam concentration adjustment).

[0066] Step S205, based on the data fed back by the multi-dimensional sensing system, dynamically adjust the PID parameters in real time to ensure that the output real-time drug vapor temperature value, drug vapor concentration value, ambient temperature and humidity, and air flow parameters match the treatment requirement parameters.

[0067] In this embodiment, the control system automatically adjusts the PID parameters according to real-time feedback data, such as temperature, drug concentration, environmental parameters, etc.

[0068] PID control is not just a static calculation process, it is a dynamic adjustment process. As the treatment process progresses, the environment and the patient's condition may change, so the PID parameters also need to be adjusted dynamically. The system adjusts the PID parameters based on the continuous feedback data (temperature, concentration, humidity, etc.) to ensure that the output steam temperature, drug concentration, etc. always match the treatment requirements.

[0069] Whenever the system detects that data such as steam temperature or concentration deviates from the target value, it will adjust the PID parameters through calculation (such as increasing or decreasing the values ​​of Kp, Ki, and Kd). For example, when the steam temperature is detected to be too low, the proportional coefficient Kp may increase, increasing the output of the heating system; if the ambient temperature changes greatly, the integral coefficient Ki may also be adjusted to compensate for the impact of environmental changes. PID control is a closed-loop control system based on feedback. Whenever a change in a parameter is monitored, the system will adjust the PID parameters in real time, and ensure that the treatment effect always meets the patient's needs by optimizing the combination of proportional, integral, and differential terms. Dynamically adjusted PID control enables the steam temperature and drug concentration to match the patient's needs in real time and accurately, optimizing the treatment effect.

[0070] This application uses PID algorithm and real-time feedback mechanism to automatically adjust parameters according to patient needs during the treatment process without manual intervention, thereby improving treatment efficiency and accuracy. In addition, the meticulous regulation of factors such as temperature, humidity, and steam concentration also greatly improves the patient's comfort and reduces discomfort during treatment.

[0071] In some optional implementations of this embodiment, when the ambient temperature, humidity and air flow parameters of the patient's environment change, the output power, output wind speed and flow direction of the steam are adjusted in real time according to preset interference factors.

[0072] In this embodiment, the ambient temperature, humidity and air flow are monitored in real time. The multi-dimensional sensing system in the system monitors the ambient temperature, humidity and air flow around the patient in real time. These environmental data are continuously collected through sensors (such as temperature and humidity sensors, air flow rate sensors, etc.). Then, the changes in interference factors are identified, and the system identifies changes in ambient temperature, humidity and air flow based on a preset interference factor model. For example, when the humidity exceeds a certain threshold, the system will assume that the propagation of steam may be affected; or if the air flow rate changes significantly, the system will also detect this change. Next, adjust the steam output power, wind speed and flow direction. Based on the detected changes in ambient temperature, humidity and air flow, the system will adjust the following key parameters in real time based on the preset interference factor model:

[0073] Steam output power: If the ambient humidity is high, the system can appropriately reduce the steam output power to avoid rapid condensation of steam; if the humidity is low, the system may increase the output power to maintain steam stability.

[0074] Output wind speed: If the air flow is weak, the steam concentration may be too high locally, and it is necessary to increase the wind speed to promote the diffusion of steam and ensure the uniform distribution of the drug.

[0075] Output flow direction: When the air flow changes greatly, the system can adjust the steam flow direction to ensure that the steam can cover the target area of ​​the patient. If the air flow direction shifts, the system can adjust the steam delivery direction according to the change in flow direction.

[0076] Finally, dynamic feedback adjustment is carried out. Through real-time feedback control, the system will dynamically adjust the steam output power, wind speed and flow direction according to the specific circumstances of environmental changes. For example, if the system detects that the humidity increases, causing the steam diffusion rate to slow down, the control system may increase the steam output power; if the air flow rate increases, the system may adjust the steam flow direction to ensure that the steam is evenly distributed.

[0077] This adjustment based on interference factors can ensure that the steam delivery effect will not be affected by changes in environmental factors. For example, even if the patient's environment is in a high humidity environment, the steam can still be delivered to the patient's nasal cavity at a suitable concentration and temperature to achieve the desired treatment effect. By adjusting the wind speed and flow direction, the system can also ensure uniform distribution of steam in different environments, avoiding local over-concentration or over-thinness, thereby optimizing the treatment effect.

[0078] This application can effectively respond to changes in ambient temperature, humidity and air flow by dynamically adjusting the steam output power, wind speed and flow direction, ensuring that the temperature and concentration of the steam are always maintained at the optimal level during treatment, providing a stable treatment effect.

[0079] In some optional implementations of this embodiment, in the step of dynamically adjusting the PID parameters in real time based on the data fed back by the multi-dimensional sensing system to ensure that the output real-time drug vapor temperature value, drug vapor concentration value, ambient temperature and humidity, and air flow parameters match the treatment requirement parameters, a control formula is established according to the real-time dynamic adjustment of the PID parameters: Where u(t) is the control output, e(t) = T target -T real , is the deviation between the target steam temperature and the real-time steam temperature, K p is the proportionality coefficient, K i is the integration coefficient, K d is the differential coefficient.

[0080] In this embodiment, first, data is collected in real time and the error is calculated. The temperature, concentration, ambient temperature and humidity, and air flow of the drug vapor are collected in real time through the multi-dimensional sensing system. These data are used to calculate the "error" of the system, that is, the deviation between the target value (treatment demand parameter) and the actual measured value. For example, e(t) = T target -T real , is the target steam temperature value T rarget And real-time steam temperature value T realThe deviation of e(t) is the error, which represents the difference between the target steam temperature and the actual steam temperature. Then, the PID control parameters are adjusted according to the error:

[0081] Proportional control (P): The proportional coefficient Kp is adjusted according to the current error. Proportional control attempts to minimize the error so that the output is as close to the target value as possible. Its function is to adjust the output power, wind speed or flow direction according to the current error size. For example, if the current temperature is lower than the target temperature, the PID controller will increase the steam output power.

[0082] Integral control (I): The integral coefficient Ki is adjusted based on the accumulation of error over time. The integral term affects the long-term system error. If the system deviates from the target value for a long time, the integral term will gradually accumulate and gradually correct the system deviation. For example, if the system does not reach the target temperature for a long time, the integral term will increase the steam output power to eliminate the accumulated error.

[0083] Derivative Control (D): The derivative coefficient Kd is adjusted based on the rate of error change. The role of the derivative term is to predict future error changes based on the rate of error change, so that adjustments can be made in advance. For example, if the steam temperature deviates quickly from the target temperature, the derivative term will quickly adjust the output to avoid further deviations.

[0084] The PID control formula is expressed as:

[0085] Among them, u(t) is the control output, which means the steam output power, wind speed or flow direction adjusted according to the PID control result.

[0086] Kp is the proportional coefficient, which controls the adjustment amount proportional to the current error.

[0087] Ki is the integral coefficient, which controls the adjustment amount that is proportional to the error accumulation amount.

[0088] Kd is the differential coefficient, which controls the adjustment amount proportional to the rate of change of the error.

[0089] Next, according to the control formula, dynamic adjustments are made in real time. Based on real-time feedback data (such as temperature, humidity, air flow, etc.), the PID controller will calculate and update the three parameters (Kp, Ki, Kd) in the control formula in real time. For example, when the temperature and humidity change greatly, the PID controller will automatically adjust these parameters to cope with the impact of environmental changes. For example, when the air humidity increases, the PID controller may increase the integral control term and further adjust the steam output power to ensure that the concentration and temperature of the drug vapor can remain stable. Finally, based on the PID calculation results, the system will adjust the steam output power, wind speed, flow direction and other parameters in real time. The dynamic adjustment of the PID controller ensures that the temperature, concentration and environmental conditions during the steam delivery process can always be kept within the range of treatment requirement parameters, so as to achieve the best treatment effect.

[0090] This application uses a PID control algorithm to adjust the temperature, concentration, and environmental conditions in real time during steam delivery to ensure that they match the patient's treatment requirements. The PID controller calculates and dynamically adjusts the error, allowing the steam delivery system to accurately respond to environmental changes and treatment needs, thereby improving treatment effectiveness and comfort.

[0091] In some optional implementations of this embodiment, after the step of dynamically adjusting the PID parameters in real time based on the data fed back by the multi-dimensional sensing system to ensure that the output real-time drug vapor temperature value, drug vapor concentration value, and ambient temperature and humidity and air flow parameters match the treatment requirement parameters, the following steps are further included:

[0092] Collect historical treatment data of patients, including their comfort and treatment effects during treatment;

[0093] Analyzing the historical treatment data and establishing a prediction model;

[0094] The PID parameters are adaptively adjusted according to the environmental change trend in the prediction model.

[0095] In this embodiment, first, the patient's historical treatment data is collected. During the treatment process of the steam delivery system, the patient's comfort and treatment effect are important factors affecting the quality of treatment. In order to optimize the adjustment strategy of the system, it is necessary to collect the patient's historical treatment data first. Specifically, these data include: patient comfort data: can be measured by patient feedback, real-time physiological monitoring data (such as heart rate, respiratory rate, etc.) or patient self-report. These data help to determine whether the current treatment process makes the patient feel comfortable. Patient treatment effect data: including changes in patients' symptoms during treatment (such as nasal congestion, runny nose and other symptoms of allergic rhinitis), changes in body temperature, adaptability of drug vapor, etc. Through these data, the effectiveness of the treatment can be evaluated. These historical data can be collected and sorted through the data collection module stored in the system or the patient follow-up records.

[0096] Next, analyze the historical treatment data and establish a predictive model. After having the patient's historical treatment data, the next task is to establish a predictive model through data analysis. The goal of this model is to: Analyze the trend of environmental changes: Analyze the impact of environmental changes on treatment effects through historical data. For example, changes in air humidity may affect the diffusion effect of steam, or the patient's comfort may be affected by ambient temperature. Analyzing the trends of these factors can help predict possible environmental changes in the future. Analyze the relationship between the patient's physiological response and the treatment effect: for example, when the patient's breathing rate is high, it means that the air flow is strong, which may affect the inhalation efficiency of the drug vapor; or when the patient feels uncomfortable, it may mean that the concentration or temperature of the steam does not meet their needs. By establishing such a predictive model, we can better understand the relationship between different parameters and treatment effects.

[0097] It should be noted that the modeling process uses machine learning, regression analysis or other data modeling techniques to train a prediction model based on historical data. The model can predict the patient's comfort changes or treatment effects by inputting new environmental parameters (such as humidity, temperature, etc.) and patient physiological parameters (such as respiratory rate, body temperature, etc.), and predict the best adjustment strategy for PID parameters.

[0098] Finally, according to the environmental change trend in the prediction model, the PID parameters are adaptively adjusted. Once the prediction model is established, the parameters of the PID controller can be automatically adjusted according to the environmental change trend and treatment effect predicted by the model. The specific steps include: Environmental change prediction: Based on the environmental change trend analyzed from historical data, the system can predict future environmental conditions (such as humidity changes, air flow rate changes, etc.). These environmental changes may affect the diffusion of steam, temperature maintenance and drug concentration. Therefore, the prediction model needs to identify these changes in advance and estimate the potential impact of the changes on the treatment effect. Adaptive adjustment of PID parameters: Based on the output of the prediction model, the system dynamically adjusts the proportional coefficient (Kp), integral coefficient (Ki) and differential coefficient (Kd) in the PID controller. For example: If the model predicts that the environmental humidity will increase, the PID controller may adjust Kp or Ki to increase the output power of the steam to ensure the stability of the drug vapor temperature and concentration.

[0099] If it predicts that the patient's comfort may decrease, the system can take measures in advance (such as reducing steam temperature or changing air flow rate) to avoid discomfort by adjusting PID parameters.

[0100] By collecting and analyzing the patient's historical treatment data, this application can accurately understand the patient's response to different treatment conditions. This provides a basis for the establishment of a predictive model, enabling the system to make accurate predictions of environmental changes and changes in treatment needs, and adjust control parameters in advance to ensure that the drug temperature and concentration during the steam delivery process are always within the optimal range.

[0101] In some optional implementations of this embodiment, in the step of adaptively adjusting the PID parameters according to the environmental change trend in the prediction model, the formula for calculating the PID parameters is: p =f1(D env ,C med ),K i =f2(D env ,C med ),K d =f3(D env ,C med ), where D env is the set of environmental parameters, C med is the drug vapor concentration set.

[0102] In this embodiment, first, the system collects real-time environmental data (temperature, humidity, air flow rate, etc.) and drug vapor concentration data through a multidimensional perception system. At this point, the environmental parameter set (Denv) and the drug vapor concentration set (Cmed) have been recorded and processed. Then, based on the historical treatment data, the prediction model will analyze the changing trend of the environmental parameters. For example, it is predicted that an increase in air temperature may lead to an increase in vapor diffusion, or it is predicted that an increase in humidity will cause a change in vapor concentration. These prediction results will affect the adjustment of PID parameters. Through the above prediction, the system will use the following calculation formula to adjust the PID parameters in real time based on the environmental parameter set (Denv) and the drug vapor concentration set (Cmed):

[0103] Adjustment of the proportional coefficient (Kp): The proportional coefficient is the most important parameter in PID control, which determines how quickly the controller reacts to errors. In actual operation, if the ambient temperature changes greatly, or the error of the drug vapor concentration is large, the proportional coefficient Kp will be adjusted appropriately. The effect of these environmental and concentration changes on the proportional coefficient is reflected by function f1.

[0104] Adjustment of the integral coefficient (Ki): The adjustment of the integral coefficient is mainly to eliminate the static error caused by environmental changes or concentration deviation in the system. For example, when the system fails to reach the target vapor concentration for a long time, the integral term will gradually correct this deviation. Function f2 will adjust the integral coefficient according to the environmental change trend (such as humidity or temperature changes) and the feedback of the drug vapor concentration.

[0105] Adjustment of differential coefficient (Kd): The differential coefficient is used to predict future error changes, and its main function is to reduce the overshoot or oscillation of the system. If the environmental parameters change suddenly (such as a sharp rise in temperature), the differential term can reduce the system's rapid response, thereby preventing large fluctuations in steam temperature or concentration. Through function f3, the system can adjust the differential coefficient according to real-time environmental changes and the trend of drug concentration changes.

[0106] Finally, the adjusted PID parameters are input into the control system to adjust the power, temperature and concentration of the steam output in real time. In this way, the PID controller can adaptively adjust the output according to the real-time feedback data and prediction model to ensure that the quality and therapeutic effect of the drug steam are always in the best state.

[0107] By adjusting the PID parameters according to the changes in real-time environmental parameters and drug vapor concentration, the system can accurately adapt to the dynamic changes in the environment and ensure the stability of drug vapor temperature, concentration and environmental conditions during treatment.

[0108] In some optional implementations of the present embodiment, in the above step of constructing a multidimensional perception system according to the treatment demand parameters, including a temperature sensor, a humidity sensor, a drug concentration detection module and an environmental interference factor acquisition module, the multidimensional perception system also includes a physiological monitoring module, and the physiological monitoring module is used to obtain the patient's physiological parameters in real time, and the physiological parameters include body temperature, respiratory rate, nasal temperature and humidity.

[0109] In this embodiment, the physiological monitoring module is added to the multi-dimensional sensing system to obtain the patient's real-time physiological data and further improve the personalization and accuracy of treatment. By collecting real-time data on the patient's physiological state, the system can dynamically adjust the output of drug vapor according to the patient's actual physical response. Specific physiological parameters include:

[0110] Body temperature: Changes in body temperature directly reflect the patient's health status. In the treatment of allergic rhinitis, fluctuations in the patient's body temperature may affect the treatment effect. By monitoring body temperature, the system can adjust the temperature of the steam in real time to improve the treatment effect and ensure patient comfort.

[0111] Respiratory rate: Respiratory rate is an important indicator for assessing the patient's respiratory health. In the treatment of allergic rhinitis, the patient's respiratory rate will be affected by air quality and drug concentration. By monitoring the respiratory rate in real time, the system can adjust the concentration and flow rate of the drug vapor according to the patient's needs to improve the treatment effect.

[0112] Nasal temperature and humidity: The temperature and humidity in the nasal cavity directly affect the absorption efficiency of drug vapor. Too low or too high humidity may cause the vapor to fail to effectively act inside the nasal cavity. Therefore, monitoring the temperature and humidity of the nasal cavity can help regulate the delivery and concentration of the vapor and ensure effective penetration of the drug.

[0113] Specifically, the physiological monitoring module collects the patient's body temperature, respiratory rate, nasal temperature and humidity and other physiological data in real time through sensors. These data are transmitted to the central processing system through wireless transmission or wired connection. The collected physiological data will be input into the treatment system together with other environmental and treatment data (such as steam temperature, drug concentration, etc.). The system will analyze and calculate the required PID parameters (proportional coefficient, integral coefficient and differential coefficient) based on these data. If the patient's body temperature is abnormal, the system can automatically adjust the steam temperature; if the respiratory rate is high, the system can adjust the steam concentration and wind speed. The feedback of the physiological monitoring module will affect the adjustment of the PID control algorithm. When changes in physiological parameters such as the patient's body temperature or respiratory rate are detected, the system will dynamically adjust the PID parameters according to these changes. Specifically: if the patient's body temperature rises, the PID controller can reduce the steam temperature output to avoid excessive temperature stimulation of the patient; if the respiratory rate increases, the PID controller may increase the drug concentration or adjust the steam flow rate to help the patient better inhale the drug vapor; if the nasal humidity is too low, the PID controller may increase the steam humidity output to improve the absorption effect of the drug vapor. By continuously monitoring the patient's health status through the physiological monitoring module, the system can adjust the parameters of the drug vapor in real time based on the feedback information to ensure that the temperature, humidity and concentration during treatment always match the patient's needs.

[0114] This application monitors the patient's body temperature, respiratory rate, and nasal temperature and humidity in real time. The system can adaptively adjust treatment parameters according to the patient's real-time physiological state and provide personalized treatment plans.

[0115] In some optional implementations of this embodiment, after the step of constructing a multi-dimensional sensing system according to the treatment demand parameters, including a temperature sensor, a humidity sensor, a drug concentration detection module, and an environmental interference factor acquisition module, the following is further included:

[0116] Based on the physiological parameters, adjusting PID parameters;

[0117] Evaluate the effect of PID parameter adjustment and obtain evaluation results;

[0118] Based on the evaluation results, a PID adjustment model is established.

[0119] In this embodiment, the core of the first step is to adjust the PID control algorithm by collecting and analyzing the patient's physiological parameters (such as body temperature, respiratory rate, nasal temperature and humidity, etc.). These physiological parameters provide the system with real-time information about the patient's current physical state. Based on this information, the control system can automatically adjust the PID parameters to ensure that the output of the drug vapor can better meet the patient's needs. For example: if the patient's body temperature is low, it may be necessary to increase the temperature output of the steam. At this time, the Kp value (proportional coefficient) in the PID can be increased to quickly respond to temperature changes; if the patient's nasal humidity is low, the PID control system can dynamically adjust Ki (integral coefficient) to compensate for insufficient humidity and ensure that the steam concentration remains stable; in other cases where physiological changes are slower, the differential coefficient Kd can be used to foresee changes and adjust the control strategy. After adjusting the PID parameters, the system will evaluate the treatment effect. The core of the evaluation is to check whether the adjusted steam temperature, humidity and drug concentration achieve the expected treatment effect. This evaluation process is completed in the following ways:

[0120] Real-time monitoring feedback: The output of drug vapor during treatment is monitored in real time through sensors (temperature, humidity, drug concentration, etc.) and compared with treatment demand parameters.

[0121] Patient feedback: Combined with the patient's comfort feedback (such as nasal humidity, breathing sensation, etc.), the therapeutic effect of the drug vapor is evaluated.

[0122] Physiological data comparison: Compare the patient's body temperature, respiratory rate, nasal humidity and other physiological parameters with the treatment target values ​​to evaluate whether the therapeutic effect after PID parameter adjustment meets expectations.

[0123] Based on the evaluation results, the system can determine whether the PID parameter adjustment is effective and make further adjustments. After evaluating the PID adjustment effect, the system will establish a PID adjustment model based on the evaluation results. The model will continuously optimize the parameters of the PID control algorithm based on historical treatment data, evaluation results, and real-time physiological feedback information.

[0124] By continuously monitoring the patient's physiological state and adjusting the PID parameters, the system can optimize the temperature, humidity and concentration of the steam in real time, making the treatment effect more accurate and efficient.

[0125] The embodiments of the present application can acquire and process relevant data based on artificial intelligence technology. Among them, artificial intelligence (AI) is the theory, method, technology and application system that uses digital computers or machines controlled by digital computers to simulate, extend and expand human intelligence, perceive the environment, acquire knowledge and use knowledge to obtain the best results.

[0126] AI basic technologies generally include sensors, dedicated AI chips, cloud computing, distributed storage, big data processing technology, operation / interaction systems, mechatronics, etc. AI software technologies mainly include computer vision technology, robotics technology, biometrics technology, speech processing technology, natural language processing technology, and machine learning / deep learning.

[0127] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiments can be implemented by instructing the relevant hardware through computer-readable instructions, and the computer-readable instructions can be stored in a computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, the aforementioned storage medium can be a non-volatile storage medium such as a disk, an optical disk, a read-only memory (ROM), or a random access memory (RAM).

[0128] It should be understood that, although the steps in the flowchart of the accompanying drawings are displayed in sequence as indicated by the arrows, these steps are not necessarily executed in sequence in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least a part of the steps in the flowchart of the accompanying drawings may include multiple sub-steps or multiple stages, and these sub-steps or stages are not necessarily executed at the same time, but can be executed at different times, and their execution order is not necessarily sequential, but can be executed in turn or alternately with other steps or at least a part of the sub-steps or stages of other steps.

[0129] Further references Figure 3 , as a response to the above Figure 2 The present application provides an embodiment of a non-contact drug vapor delivery device for treating allergic rhinitis. The system embodiment is similar to Figure 2 Corresponding to the method embodiment shown, the system can be specifically applied to various electronic devices.

[0130] like Figure 3 As shown, the non-contact drug vapor delivery device for treating allergic rhinitis described in this embodiment includes: an acquisition module 301, a construction module 302, a collection module 303, a calculation module 304 and an adjustment module 305. Among them:

[0131] The acquisition module 301 is used to acquire the treatment requirement parameters of the patient, including the target steam temperature value, the target drug steam concentration value, and the ambient temperature, humidity and air flow parameters of the patient's environment;

[0132] A construction module 302 is used to construct a multi-dimensional sensing system according to the treatment demand parameters, including a temperature sensor, a humidity sensor, a drug concentration detection module, and an environmental interference factor acquisition module;

[0133] The collection module 303 is used to collect the real-time steam temperature value, drug vapor concentration value, and environmental temperature, humidity, and air flow parameters during the steam delivery process;

[0134] A calculation module 304, used to calculate initial PID parameters through a machine algorithm according to the real-time steam temperature value, the drug vapor concentration value, the ambient temperature and humidity, and the air flow parameters;

[0135] The adjustment module 305 is used to dynamically adjust the PID parameters in real time based on the data fed back by the multi-dimensional sensing system to ensure that the output real-time drug vapor temperature value, drug vapor concentration value, ambient temperature and humidity, and air flow parameters match the treatment requirement parameters.

[0136] The non-contact drug vapor delivery device for treating allergic rhinitis provided in this application can automatically adjust parameters according to patient needs during the treatment process through PID algorithm and real-time feedback mechanism, without manual intervention, thereby improving treatment efficiency and accuracy. In addition, the meticulous regulation of factors such as temperature, humidity, and steam concentration also greatly improves the patient's comfort and reduces discomfort during the treatment process.

[0137] In some optional implementations of this embodiment, the construction module 302 is further used to:

[0138] When the ambient temperature, humidity and air flow parameters of the patient's environment change, the steam output power, output wind speed and flow direction are adjusted in real time according to the preset interference factors.

[0139] The non-contact drug vapor delivery device for treating allergic rhinitis provided in the present application can effectively respond to changes in ambient temperature, humidity and air flow by dynamically adjusting the steam output power, wind speed and flow direction, ensuring that the temperature and concentration of the steam are always maintained at an optimal level during the treatment process, thereby providing a stable treatment effect.

[0140] In some optional implementations of this embodiment, the adjustment module 305 is further configured to:

[0141] According to the real-time dynamic adjustment of PID parameters, a control formula is established: Where e(t) = T target -Treal , is the deviation between the target steam temperature and the real-time steam temperature, K p is the proportionality coefficient, K i is the integration coefficient, K d is the differential coefficient.

[0142] The non-contact drug vapor delivery device for treating allergic rhinitis provided in the present application can adjust the temperature, concentration and environmental conditions in real time during the vapor delivery process by adopting a PID control algorithm to ensure that they match the patient's treatment requirement parameters. The PID controller is based on error calculation and dynamic adjustment, so that the vapor delivery system can accurately respond to environmental changes and treatment demand changes, thereby improving the treatment effect and comfort.

[0143] In some optional implementations of this embodiment, the adjustment module 305 is further configured to:

[0144] Collect historical treatment data of patients, including their comfort and treatment effects during treatment;

[0145] Analyzing the historical treatment data and establishing a prediction model;

[0146] The PID parameters are adaptively adjusted according to the environmental change trend in the prediction model.

[0147] The non-contact drug vapor delivery device for treating allergic rhinitis provided in this application can accurately understand the patient's response to different treatment conditions by collecting and analyzing the patient's historical treatment data. This provides a basis for the establishment of a prediction model, enabling the system to make accurate predictions of environmental changes and changes in treatment needs, and adjust control parameters in advance to ensure that the drug temperature and concentration during the vapor delivery process are always within the optimal range.

[0148] In some optional implementations of this embodiment, the adjustment module 305 is further configured to:

[0149] The formula for calculating the PID parameters is: K p =f1(D env ,C med ),K i =f2(D env ,C med ),K d =f3(D env ,C med ), where D env is the set of environmental parameters, C med is the drug vapor concentration set.

[0150] The non-contact drug vapor delivery device for treating allergic rhinitis provided in the present application can accurately adapt to dynamic changes in the environment by adjusting PID parameters according to changes in real-time environmental parameters and drug vapor concentration, thereby ensuring the stability of drug vapor temperature, concentration and environmental conditions during treatment.

[0151] In some optional implementations of this embodiment, in the construction module 302, the multi-dimensional perception system also includes a physiological monitoring module, and the physiological monitoring module is used to obtain the patient's physiological parameters in real time, and the physiological parameters include body temperature, respiratory rate, nasal temperature and humidity.

[0152] The non-contact drug vapor delivery device for treating allergic rhinitis provided in the present application monitors the patient's body temperature, respiratory rate, and nasal temperature and humidity in real time. The system can adaptively adjust treatment parameters according to the patient's real-time physiological state and provide a personalized treatment plan.

[0153] In some optional implementations of this embodiment, the construction module 302 is further used to:

[0154] Based on the physiological parameters, adjusting PID parameters;

[0155] Evaluate the effect of PID parameter adjustment and obtain evaluation results;

[0156] Based on the evaluation results, a PID adjustment model is established.

[0157] The non-contact drug vapor delivery device for treating allergic rhinitis provided in the present application continuously monitors the patient's physiological state and adjusts PID parameters. The system can optimize the temperature, humidity and concentration of the steam in real time, making the treatment effect more accurate and efficient.

[0158] To solve the above technical problems, the present application also provides a computer device. Figure 4 , Figure 4 This is a basic structural block diagram of the computer device in this embodiment.

[0159] The computer device 4 includes a memory 41, a processor 42, and a network interface 43 that are interconnected through a system bus. It should be noted that the figure only shows a computer device 4 with components 41-43, but it should be understood that it is not required to implement all the components shown, and more or fewer components can be implemented instead. Among them, those skilled in the art can understand that the computer device here is a device that can automatically perform numerical calculations and / or information processing according to pre-set or stored instructions, and its hardware includes but is not limited to microprocessors, application specific integrated circuits (Application Specific Integrated Circuit, ASIC), programmable gate arrays (Field-Programmable Gate Array, FPGA), digital processors (Digital Signal Processor, DSP), embedded devices, etc.

[0160] The computer device may be a computing device such as a desktop computer, a notebook, a PDA, a cloud server, etc. The computer device may interact with a user through a keyboard, a mouse, a remote controller, a touch pad, or a voice control device.

[0161] The memory 41 includes at least one type of readable storage medium, and the readable storage medium includes flash memory, hard disk, multimedia card, card-type memory (for example, SD or DX memory, etc.), random access memory (RAM), static random access memory (SRAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), programmable read-only memory (PROM), magnetic memory, disk, optical disk, etc. In some embodiments, the memory 41 can be an internal storage unit of the computer device 4, such as a hard disk or memory of the computer device 4. In other embodiments, the memory 41 can also be an external storage device of the computer device 4, such as a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (FlashCard), etc. equipped on the computer device 4. Of course, the memory 41 can also include both the internal storage unit of the computer device 4 and its external storage device. In this embodiment, the memory 41 is generally used to store the operating system and various application software installed on the computer device 4, such as computer-readable instructions for a non-contact drug vapor delivery method for treating allergic rhinitis. In addition, the memory 41 can also be used to temporarily store various types of data that have been output or are to be output.

[0162] The processor 42 may be a central processing unit (CPU), a controller, a microcontroller, a microprocessor, or other data processing chips in some embodiments. The processor 42 is generally used to control the overall operation of the computer device 4. In this embodiment, the processor 42 is used to run computer-readable instructions or process data stored in the memory 41, such as running computer-readable instructions for the non-contact drug vapor delivery method for treating allergic rhinitis.

[0163] The network interface 43 may include a wireless network interface or a wired network interface. The network interface 43 is generally used to establish a communication connection between the computer device 4 and other electronic devices.

[0164] The computer equipment provided by this application can automatically adjust parameters according to patient needs during the treatment process through PID algorithm and real-time feedback mechanism, without manual intervention, thereby improving treatment efficiency and accuracy. In addition, the meticulous regulation of factors such as temperature, humidity, and steam concentration also greatly improves the patient's comfort and reduces discomfort during the treatment process.

[0165] The present application also provides another embodiment, namely, providing a computer-readable storage medium, which stores computer-readable instructions, and the computer-readable instructions can be executed by at least one processor to enable the at least one processor to perform the steps of the non-contact drug vapor delivery method for treating allergic rhinitis as described above.

[0166] The computer-readable storage medium provided by the present application can automatically adjust parameters according to the patient's needs during the treatment process through the PID algorithm and real-time feedback mechanism, without manual intervention, thereby improving the efficiency and accuracy of treatment. In addition, the meticulous regulation of factors such as temperature, humidity, and steam concentration also greatly improves the patient's comfort and reduces discomfort during the treatment process.

[0167] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present application, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk), and includes a number of instructions for a terminal device (which can be a mobile phone, computer, server, air conditioner, or network device, etc.) to execute the methods described in each embodiment of the present application.

[0168] Obviously, the embodiments described above are only some embodiments of the present application, rather than all embodiments. The preferred embodiments of the present application are given in the accompanying drawings, but they do not limit the patent scope of the present application. The present application can be implemented in many different forms. On the contrary, the purpose of providing these embodiments is to make the understanding of the disclosure of the present application more thorough and comprehensive. Although the present application is described in detail with reference to the aforementioned embodiments, for those skilled in the art, it is still possible to modify the technical solutions recorded in the aforementioned specific implementation methods, or to perform equivalent replacement of some of the technical features therein. Any equivalent structure made using the contents of the specification and drawings of this application, directly or indirectly used in other related technical fields, is similarly within the scope of patent protection of this application.

Claims

1. A non-contact drug vapor delivery method for treating allergic rhinitis, characterized in that: The steps include: Obtaining the patient's treatment requirement parameters, including target vapor temperature value, target drug vapor concentration value, and ambient temperature, humidity, and air flow parameters of the patient's environment; According to the treatment demand parameters, a multi-dimensional sensing system is constructed, including a temperature sensor, a humidity sensor, a drug concentration detection module, and an environmental interference factor acquisition module; Collect real-time steam temperature, drug vapor concentration, ambient temperature, humidity and air flow parameters during steam delivery; Calculating initial PID parameters through a machine algorithm according to the real-time steam temperature value, drug vapor concentration value, ambient temperature and humidity, and air flow parameters; Based on the data fed back by the multi-dimensional sensing system, the PID parameters are adjusted dynamically in real time to ensure that the output real-time drug vapor temperature value, drug vapor concentration value, and environmental temperature, humidity, and air flow parameters match the treatment demand parameters.

2. The non-contact drug vapor delivery method for treating allergic rhinitis according to claim 1, characterized in that: Also includes: When the ambient temperature, humidity and air flow parameters of the patient's environment change, the steam output power, output wind speed and flow direction are adjusted in real time according to the preset interference factors.

3. The non-contact drug vapor delivery method for treating allergic rhinitis according to claim 2, characterized in that: In the step of dynamically adjusting the PID parameters in real time based on the data fed back by the multi-dimensional sensing system to ensure that the output real-time drug vapor temperature value, drug vapor concentration value, ambient temperature and humidity, and air flow parameters match the treatment demand parameters, a control formula is established according to the real-time dynamic adjustment of the PID parameters: Where u(t) is the control output, e(t) = T target -T real , is the deviation between the target steam temperature and the real-time steam temperature, K p is the proportionality coefficient, K i is the integration coefficient, K d is the differential coefficient.

4. The non-contact drug vapor delivery method for treating allergic rhinitis according to claim 3, characterized in that: After the step of dynamically adjusting the PID parameters in real time based on the data fed back by the multi-dimensional sensing system to ensure that the output real-time drug vapor temperature value, drug vapor concentration value, and environmental temperature and humidity and air flow parameters match the treatment demand parameters, the following steps are also included: Collect historical treatment data of patients, including their comfort and treatment effects during treatment; Analyzing the historical treatment data and establishing a prediction model; The PID parameters are adaptively adjusted according to the environmental change trend in the prediction model.

5. The non-contact drug vapor delivery method for treating allergic rhinitis according to claim 4, characterized in that: In the step of adaptively adjusting the PID parameters according to the environmental change trend in the prediction model, the formula for calculating the PID parameters is: K p =f1(D env , C med ), K i =f2(D env , C med ), K d =f3(D env , C med ), where D env is the set of environmental parameters, C med is the drug vapor concentration set.

6. The non-contact drug vapor delivery method for treating allergic rhinitis according to claim 1, characterized in that: In the step of constructing a multidimensional perception system according to the treatment demand parameters, including a temperature sensor, a humidity sensor, a drug concentration detection module and an environmental interference factor acquisition module, the multidimensional perception system also includes a physiological monitoring module, which is used to obtain the patient's physiological parameters in real time, and the physiological parameters include body temperature, respiratory rate, nasal temperature and humidity.

7. The non-contact drug vapor delivery method for treating allergic rhinitis according to claim 6, characterized in that: After the step of constructing a multi-dimensional sensing system according to the treatment demand parameters, including a temperature sensor, a humidity sensor, a drug concentration detection module and an environmental interference factor acquisition module, the following steps are further included: Based on the physiological parameters, adjusting PID parameters; Evaluate the effect of PID parameter adjustment and obtain evaluation results; Based on the evaluation results, a PID adjustment model is established.

8. A non-contact drug vapor delivery device for treating allergic rhinitis, characterized in that: include: An acquisition module is used to acquire the patient's treatment requirement parameters, including a target vapor temperature value, a target drug vapor concentration value, and ambient temperature, humidity, and air flow parameters of the patient's environment; A construction module, used to construct a multi-dimensional sensing system according to the treatment demand parameters, including a temperature sensor, a humidity sensor, a drug concentration detection module and an environmental interference factor acquisition module; The collection module is used to collect the real-time steam temperature value, drug vapor concentration value, ambient temperature and humidity, and air flow parameters during the steam delivery process; A calculation module, used to calculate initial PID parameters through a machine algorithm according to the real-time steam temperature value, the drug vapor concentration value, the ambient temperature and humidity, and the air flow parameters; The adjustment module is used to dynamically adjust the PID parameters in real time based on the data fed back by the multi-dimensional sensing system to ensure that the output real-time drug vapor temperature value, drug vapor concentration value, ambient temperature and humidity, and air flow parameters match the treatment demand parameters.

9. A computer device, characterized in that: The method comprises a memory and a processor, wherein the memory stores computer-readable instructions, and when the processor executes the computer-readable instructions, the steps of the non-contact drug vapor delivery method for treating allergic rhinitis as claimed in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-readable instructions, and when the computer-readable instructions are executed by a processor, the steps of the non-contact drug vapor delivery method for treating allergic rhinitis according to any one of claims 1 to 7 are implemented.

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