Remote control method and system for atomizer

Abstract

The invention provides a remote control method and system for an atomizer, and the method comprises the steps: obtaining the respiratory rate of a patient through respiratory flow sensors disposed at an air inlet and an air outlet of the atomizer; monitoring the residual amount of atomized liquid in the atomizer, performing fuzzy classification on the respiratory rate and the residual amount of the atomized liquid, establishing a fuzzy rule base according to different category combinations of the respiratory rate and the residual amount of the atomized liquid, and adjusting the atomization rate of the atomizer based on the membership degree of the respiratory rate and the residual amount of the atomized liquid in the fuzzy rule base; and the data of the atomization rate of the patient, which is adjusted along with time, is remotely sent to a doctor through a wireless communication technology. By means of the method and the corresponding system, the atomization rate can be dynamically adjusted according to the real-time breathing frequency of the patient and the remaining amount of the atomized liquid.

Description

Technical Field

[0001] The present invention provides a remote control method and system for an atomizer, relating to the technical field of atomizers. Background Art

[0002] Existing atomizer control methods often lack the ability to monitor real-time physiological parameters such as the patient's breathing frequency and breathing flow rate. Doctors cannot timely obtain the actual breathing conditions of patients during atomization treatment and it is difficult to adjust the treatment plan based on this information. For example, when the patient's breathing frequency increases, it means that the patient's inhalation demand for drugs may increase. However, since the atomizer cannot sense this change and cannot correspondingly increase the atomization rate, it will lead to insufficient drug supply. On the contrary, when the patient's breathing frequency slows down, an excessive atomization rate may cause the patient to inhale too much drug, leading to adverse reactions. Inability to optimize resource utilization: Traditional atomizers also have deficiencies in the management of the remaining amount of atomization liquid. Since the remaining amount of atomization liquid cannot be monitored in real time and the atomization rate cannot be adjusted according to it, when the remaining amount of atomization liquid is relatively small, atomization may still be carried out at a relatively high atomization rate, resulting in premature depletion of the drug and inability to complete the scheduled treatment course; or when the atomization liquid is sufficient, the atomization rate is set too low, causing drug waste and extended treatment time. This unreasonable utilization of atomization liquid resources not only increases the treatment cost of patients, but also may affect the treatment effect. Summary of the Invention

[0003] The present invention provides a remote control method and system for an atomizer to solve the above-mentioned problems: A control method for an atomizer proposed by the present invention, the method includes: Obtaining the patient's breathing frequency through breathing flow sensors installed at the air inlet and outlet of the atomizer; Monitoring the remaining amount of atomization liquid in the atomizer, performing fuzzy classification on the breathing frequency and the remaining amount of atomization liquid, establishing a fuzzy rule base according to different category combinations of the breathing frequency and the remaining amount of atomization liquid, and adjusting the atomization rate of the atomizer based on the membership degrees of the breathing frequency and the remaining amount of atomization liquid in the fuzzy rule base; Remotely sending the data of the patient's atomization rate adjusted over time to the doctor through wireless communication technology.

[0004] Further, obtaining the patient's breathing frequency through breathing flow sensors installed at the air inlet and outlet of the atomizer includes: The breathing flow sensors collect the patient's breathing flow data according to a preset sampling frequency, store the collected breathing flow data in chronological order to form a data set; Traversing each sampling time point in the data set and calculating the patient's breathing frequency through a breathing frequency model. Specifically, the breathing frequency model is:

[0005] Among them, represents the respiratory rate, T represents the monitoring time window, and n represents the number of time sampling points within the time window T. represents the i-th sampling time point, which is a specific moment within the time window, and the value range of i is [1, n]. represents at time the inspiratory flow rate, represents at time the expiratory flow rate, represents the logical OR operation.

[0006] Furthermore, monitor the remaining amount of the atomized liquid in the nebulizer, perform fuzzy classification on the respiratory rate and the remaining amount of the atomized liquid, and adjust the atomization rate according to different category combinations of the respiratory rate and the remaining amount of the atomized liquid, including: Divide the patient's respiratory rate into three linguistic variables: slow, medium, and fast. The membership function adopts a triangular distribution. Specifically, the membership function for slow is:

[0007] Among them, represents the degree to which the respiratory rate belongs to the "slow" fuzzy set, represents the lower limit value of the slow frequency interval, represents the upper limit value of the slow frequency interval, and f represents the patient's respiratory rate; The membership function in is:

[0008] Among them, represents the degree to which the respiratory rate belongs to the "slow" fuzzy set, represents the lower starting boundary of the "medium" fuzzy set, represents the turning point of the membership degree change, represents the upper boundary of the "medium" fuzzy set; The membership function for fast is:

[0009] Among them, represents the lower boundary of the "fast" fuzzy set, represents the boundary of the "fast" fuzzy set; Monitor the remaining amount of the atomized liquid, and fuzzify the remaining amount of the atomized liquid. Specifically, the membership function for a small remaining amount of the atomized liquid is:

[0010] Among them, Indicates the degree to which the remaining amount of the atomized liquid belongs to the "less" fuzzy set, represents the lower boundary of the "less" fuzzy set, represents the upper boundary of the "less" fuzzy set;

[0011] Among them, Indicates the degree to which the remaining amount of the atomized liquid belongs to the "more" fuzzy set, represents the lower boundary for dividing the "more" fuzzy set, represents the upper boundary of the "more" fuzzy set; Establish a fuzzy rule base based on the remaining amount of the atomized liquid and the patient's breathing frequency, and adjust the atomization rate of the atomizer based on the membership degrees of the breathing frequency and the remaining amount of the atomized liquid in the fuzzy rule base.

[0012] Furthermore, establish a fuzzy rule base based on the remaining amount of the atomized liquid and the patient's breathing frequency, and adjust the atomization rate of the atomizer based on the membership degrees of the breathing frequency and the remaining amount of the atomized liquid in the fuzzy rule base, including: Establish Rule 1: IF the breathing frequency is slow AND the remaining amount of the atomized liquid is THEN the adjustment amount of the atomization rate is to remain stable; Establish Rule 2: IF the breathing frequency is slow AND the remaining amount of the atomized liquid is less THEN the adjustment amount of the atomization rate is to decrease by 5%; Establish Rule 3: IF the breathing frequency is medium AND the remaining amount of the atomized liquid is more THEN the adjustment amount of the atomization rate is to remain stable; Establish Rule 4: IF the breathing frequency is medium AND the remaining amount of the atomized liquid is less THEN the adjustment amount of the atomization rate is to increase by 5%; Establish Rule 5: IF the breathing frequency is fast AND the remaining amount of the atomized liquid is more THEN the adjustment amount of the atomization rate is to increase by 10%; Establish Rule 6: IF the breathing frequency is fast AND the remaining amount of the atomized liquid is less THEN the adjustment amount of the atomization rate is to increase by 5%; Calculate the membership degree distribution of the fuzzy output, and calculate the precise adjustment amount of the atomizer through the precise adjustment model based on the output membership degree distribution. Specifically, the precise adjustment model is:

[0013] Among them, u represents the precise adjustment amount of the atomization rate of the atomizer, n represents the number of rules in the fuzzy rule base, represents the membership degree belonging to the i-th fuzzy rule in the fuzzy rule base, represents the numerical value of the adjustment amount of the atomization rate of the i-th fuzzy rule in the fuzzy rule base.

[0014] Further, the data of the adjusted atomization rate of the patient over time is remotely transmitted to the doctor through wireless communication technology, including: Before transmitting the adjusted atomization rate data, encrypt the adjusted atomization rate data, and after encryption, use wireless communication technology to transmit the data to the doctor; Apply an error correction coding mechanism and a data packet confirmation mechanism so that the doctor can accurately receive the adjusted atomization rate data.

[0015] A control system for an atomizer proposed by the present invention, the system includes: A module for obtaining the patient's breathing frequency, which is used to obtain the patient's breathing frequency through breathing flow sensors installed at the air inlet and outlet of the atomizer; A module for adjusting the atomization rate of the atomizer, which is used to monitor the remaining amount of the atomization liquid in the atomizer, perform fuzzy classification on the breathing frequency and the remaining amount of the atomization liquid, establish a fuzzy rule base according to different category combinations of the breathing frequency and the remaining amount of the atomization liquid, and adjust the atomization rate of the atomizer based on the membership degrees of the breathing frequency and the remaining amount of the atomization liquid in the fuzzy rule base; A remote monitoring module, which is used to remotely transmit the data of the adjusted atomization rate of the patient over time to the doctor through wireless communication technology.

[0016] Further, the module for obtaining the patient's breathing frequency includes: A module for constructing a data set, which is used for the breathing flow sensor to collect the patient's breathing flow data at a preset sampling frequency, store the collected breathing flow data in chronological order, and form a data set; A module for calculating the breathing frequency, which is used to traverse each sampling time point in the data set and calculate the patient's breathing frequency through a breathing frequency model. Specifically, the breathing frequency model is:

[0017] Wherein, represents the breathing frequency, T represents the monitoring time window, n represents the number of time sampling points within the time window T, represents the i-th sampling time point, which is a specific moment within the time window, and the value range of i is [1, n], represents the inspiratory flow rate at time , represents the expiratory flow rate at time , represents the logical OR operation.

[0018] Further, the module for adjusting the atomization rate of the atomizer includes: The respiratory rate division module is used to divide the patient's respiratory rate into three linguistic variables: slow, medium, and fast. The membership function adopts a triangular distribution. Specifically, the membership function for slow is:

[0019] where, represents the degree to which the respiratory rate belongs to the "slow" fuzzy set, represents the lower limit value of the slow frequency interval, represents the upper limit value of the slow frequency interval, and f represents the patient's respiratory rate; The membership function in is:

[0020] where, represents the degree to which the respiratory rate belongs to the "slow" fuzzy set, represents the lower starting boundary of the "medium" fuzzy set, represents the turning point of the membership degree change, represents the upper boundary of the "medium" fuzzy set; The membership function for fast is:

[0021] where, represents the lower boundary of the "fast" fuzzy set, represents the boundary of the "fast" fuzzy set; The remaining medicine amount of the fuzzy atomizer module is used to monitor the remaining amount of the atomizing liquid and fuzzify the remaining amount of the atomizing liquid. Specifically, the membership function for less remaining atomizing liquid is:

[0022] where, represents the degree to which the remaining amount of the atomizing liquid belongs to the "less" fuzzy set, represents the lower boundary of the "less" fuzzy set, represents the upper boundary of the "less" fuzzy set;

[0023] where, represents the degree to which the remaining amount of the atomizing liquid belongs to the "more" fuzzy set, represents the lower boundary for dividing the "more" fuzzy set, represents the upper boundary of the "more" fuzzy set; The fuzzy rule base establishment module is used to establish a fuzzy rule base based on the remaining amount of the atomizing liquid and the patient's respiratory rate, and adjust the atomizing rate of the atomizer based on the membership degrees of the respiratory rate and the remaining amount of the atomizing liquid in the fuzzy rule base.

[0024] Furthermore, the fuzzy rule base establishment module includes: A rule establishment module that establishes Rule 1: IF the breathing rate is slow AND the remaining amount of atomized liquid is [unspecified] THEN the adjustment amount of the atomization rate is to remain stable; Establish Rule 2: IF the breathing rate is slow AND the remaining amount of atomized liquid is small THEN the adjustment amount of the atomization rate is reduced by 5%; Establish Rule 3: IF the breathing rate is medium AND the remaining amount of atomized liquid is large THEN the adjustment amount of the atomization rate is to remain stable; Establish Rule 4: IF the breathing rate is medium AND the remaining amount of atomized liquid is small THEN the adjustment amount of the atomization rate is increased by 5%; Establish Rule 5: IF the breathing rate is fast AND the remaining amount of atomized liquid is large THEN the adjustment amount of the atomization rate is increased by 10%; Establish Rule 6: IF the breathing rate is fast AND the remaining amount of atomized liquid is small THEN the adjustment amount of the atomization rate is increased by 5%; An accurate adjustment module for calculating the membership degree distribution of the fuzzy output and calculating the accurate adjustment amount of the atomizer based on the output membership degree distribution through an accurate adjustment model. Specifically, the accurate adjustment model is:

[0025] where u represents the accurate adjustment amount of the atomization rate of the atomizer, n represents the number of rules in the fuzzy rule base, represents the membership degree belonging to the i-th fuzzy rule in the fuzzy rule base, represents the numerical value of the atomization rate adjustment amount of the i-th fuzzy rule in the fuzzy rule base.

[0026] Furthermore, the remote monitoring module includes: An encryption transmission module for encrypting the atomization rate adjustment data before transmitting it and using wireless communication technology to send the data to the doctor after encryption; A receiving module for applying an error correction coding mechanism and a data packet confirmation mechanism to accurately receive the atomization rate adjustment data at the doctor's end.

[0027] Advantages of the present invention: Personalized and precise treatment can dynamically adjust the atomization rate according to the patient's real-time breathing frequency and the remaining amount of atomization liquid. Since the breathing conditions and drug requirements of each patient are different, in this way, it can ensure that the atomizer outputs the most suitable atomization rate for the patient at different treatment stages, improving the deposition efficiency of the drug in the respiratory tract and the treatment effect. For example, for patients with rapid breathing, the atomization rate can be increased in a timely manner so that the drug can reach the lesion site more quickly; for patients with stable breathing and little remaining atomization liquid, the atomization rate can be appropriately reduced to avoid drug waste while ensuring the continuity of treatment; improve treatment safety and avoid discomfort or risks to the patient due to improper atomization rate. If the atomization rate is too fast, it may cause adverse reactions such as choking cough and dyspnea in the patient; if it is too slow, it may affect the treatment process. Through intelligent adjustment based on fuzzy logic, these risks can be effectively reduced, ensuring the safety and comfort of the patient during atomization treatment; optimize resource utilization. Adjusting the atomization rate according to the remaining amount of atomization liquid can rationally utilize the atomization liquid resources. When the remaining amount of atomization liquid is small, by adjusting the atomization rate, it can ensure that the drug can be most effectively utilized within the remaining amount range, avoiding premature depletion or waste of the drug due to unreasonable atomization rate, improving the utilization rate of the drug and reducing the treatment cost; doctors can remotely obtain the data of the patient's atomization rate adjustment to achieve real-time monitoring of the patient's treatment process. Whether the patient undergoes atomization treatment at home or elsewhere, the doctor can timely understand the treatment situation, discover problems in a timely manner and intervene. For example, if the doctor finds that the atomization rate of the patient frequently shows abnormal adjustment, it may mean that the patient's condition has changed or there is a malfunction in the atomizer. At this time, the doctor can communicate with the patient in a timely manner, adjust the treatment plan or arrange equipment maintenance; at the same time, the long-term accumulated data can also be used for medical research and optimization of treatment plans, providing a reference basis for the treatment of similar diseases. Brief Description of the Drawings

[0028] Figure 1 It is a schematic diagram of a control method for an atomizer according to the present invention. Detailed Embodiments

[0029] In order to more clearly understand the above-mentioned objects, features and advantages of the present invention, the present invention will be described in detail below with reference to the accompanying drawings and specific embodiments. It should be noted that, without conflict, the embodiments of the present application and the features in the embodiments can be combined with each other.

[0030] Many specific details are set forth in the following description in order to fully understand the present invention. The described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts fall within the scope of protection of the present invention.

[0031] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the technical field to which this invention belongs. The terms used in the description of this invention herein are for the purpose of describing specific embodiments only and are not intended to limit the invention.

[0032] An embodiment of the present invention, a control method for an atomizer, the method comprising: Obtaining the patient's breathing frequency through a breathing flow sensor installed at the air inlet and air outlet of the atomizer; Monitoring the remaining amount of the atomizing liquid in the atomizer, performing fuzzy classification on the breathing frequency and the remaining amount of the atomizing liquid, establishing a fuzzy rule base according to different category combinations of the breathing frequency and the remaining amount of the atomizing liquid, and adjusting the atomizing rate of the atomizer based on the membership degrees of the breathing frequency and the remaining amount of the atomizing liquid in the fuzzy rule base; Remotely transmitting the data of the patient's atomizing rate adjusted over time to a doctor through wireless communication technology.

[0033] The working principle and effects of the above technical solution are as follows: Data collection: Breath flow sensors are installed at the air inlet and outlet of the nebulizer to sense the changes in the airflow using the sensors. When the patient breathes, the airflow enters and exits the nebulizer, causing physical changes in the internal components of the sensor (such as the thermistor in a thermal sensor or the diaphragm in a differential pressure sensor). This change is converted into an electrical signal. By analyzing and processing the electrical signal, for example, using a specific algorithm to calculate the number of respiratory cycles per unit time, the patient's respiratory rate can be obtained; at the same time, the remaining amount of the nebulizing liquid in the nebulizer is monitored by devices such as a pressure sensor or a capacitive liquid level sensor. The pressure sensor is based on the relationship between the liquid level and pressure, and the capacitive liquid level sensor converts the remaining amount of the nebulizing liquid into a measurable electrical signal value according to the principle that the liquid level change causes a change in the capacitance value; Fuzzification of the collected respiratory rate and remaining amount of the nebulizing liquid data. The respiratory rate is divided into fuzzy sets such as slow, medium, and fast, and the remaining amount of the nebulizing liquid is divided into fuzzy sets such as less and more; this is achieved by setting membership functions. For example, for the membership function of "slow" for the respiratory rate, when the respiratory rate is in a certain lower interval, its membership degree is 1, indicating that it completely belongs to the category of "slow"; as the respiratory rate increases, the membership degree gradually decreases to 0 according to a specific functional relationship. The same applies to the remaining amount of the nebulizing liquid, and different liquid level intervals correspond to different membership degree values to quantify the degree to which it belongs to fuzzy sets such as "less" or "more"; Fuzzy rule inference: A fuzzy rule base is established based on different category combinations of the respiratory rate and the remaining amount of the nebulizing liquid. For example, if the respiratory rate is "fast" and the remaining amount of the nebulizing liquid is "more", the rule may be to significantly increase the nebulization rate; if the respiratory rate is "slow" and the remaining amount of the nebulizing liquid is "less", the rule may be to slightly decrease the nebulization rate. Based on these rules and the membership degrees of the respiratory rate and the remaining amount of the nebulizing liquid in their respective fuzzy sets, through the method of fuzzy inference, a comprehensive decision on the adjustment of the nebulization rate is obtained. This inference process considers the combined effects of multiple rules, weights the contributions of different rules according to the magnitudes of the membership degrees, and thus determines the final adjustment direction and degree of the nebulization rate; The nebulizer packs the adjusted nebulization rate each time and the corresponding time information. Wireless communication technologies such as Wi-Fi, Bluetooth, 4G, or 5G are used. If Wi-Fi is used, the nebulizer connects to the wireless network of a home or medical institution, sends the data to the Internet, and finally transmits it to a remote server; 4G or 5G enables the nebulizer to directly send the data to the remote server through the mobile network. The doctor can obtain the data on the adjustment of the nebulization rate over time by accessing the server or the relevant application.Personalized precise treatment can dynamically adjust the atomization rate according to the patient's real-time breathing frequency and the remaining amount of atomization liquid. Since the breathing conditions and drug requirements of each patient are different, in this way, it can ensure that at different treatment stages, the nebulizer outputs the most suitable atomization rate for the patient, improving the deposition efficiency of the drug in the respiratory tract and the treatment effect. For example, for patients with rapid breathing, the atomization rate is increased in a timely manner so that the drug can be delivered to the lesion site more quickly; for patients with stable breathing and little remaining atomization liquid, the atomization rate is appropriately reduced to avoid drug waste while ensuring the continuity of treatment; it improves treatment safety and avoids discomfort or risks caused to the patient due to improper atomization rate. If the atomization rate is too fast, it may cause adverse reactions such as choking cough and dyspnea in the patient; if it is too slow, it may affect the treatment process. Through intelligent adjustment based on fuzzy logic, these risks can be effectively reduced, ensuring the safety and comfort of the patient during the atomization treatment process; it optimizes resource utilization. By adjusting the atomization rate according to the remaining amount of atomization liquid, the atomization liquid resources can be reasonably utilized. When the remaining amount of atomization liquid is small, by adjusting the atomization rate, it can ensure that the drug can be most effectively utilized within the remaining amount range, avoiding premature depletion or waste of the drug due to unreasonable atomization rate, improving the utilization rate of the drug, and reducing the treatment cost; doctors can remotely obtain the data of the patient's atomization rate adjustment to achieve real-time monitoring of the patient's treatment process. Whether the patient undergoes atomization treatment at home or elsewhere, doctors can timely understand the treatment situation, discover problems in a timely manner and intervene. For example, if doctors find that the atomization rate of the patient frequently shows abnormal adjustments, it may mean that the patient's condition has changed or there is a malfunction in the nebulizer. At this time, doctors can communicate with the patient in a timely manner, adjust the treatment plan or arrange equipment maintenance; at the same time, the long-term accumulated data can also be used for medical research and optimization of treatment plans, providing a reference basis for the treatment of similar diseases.

[0034] In one embodiment of the present invention, the breathing frequency of the patient is obtained by installing breathing flow sensors at the air inlet and outlet of the nebulizer, including: The breathing flow sensors collect the patient's breathing flow data at a preset sampling frequency, and store the collected breathing flow data in chronological order to form a data set; Traverse each sampling time point in the data set, and calculate the patient's breathing frequency through the breathing frequency model. Specifically, the breathing frequency model is:

[0035] Wherein, represents the breathing frequency, T represents the monitoring time window, n represents the number of time sampling points within the time window T, represents the i-th sampling time point, which is a specific moment within the time window, and the value range of i is [1, n], represents at time the inspiratory flow rate at represents the time at the expiratory flow rate, represents a logical OR operation.

[0036] The working principle and effects of the above technical solution are as follows: data acquisition and storage. The respiratory flow sensor collects the flow data of the patient's breathing at a preset sampling frequency. This sampling frequency determines the number of data acquisitions per unit time. For example, 10 times per second. At each sampling, the sensor measures the inspiratory flow rate and the expiratory flow rate respectively. The collected data will be stored in sequence according to the time order, forming a data set containing the flow information at each sampling time point. This data set records the changes in the respiratory flow rate of the patient over a period of time. After obtaining the data set, the system will traverse each sampling time point in the data set. For each time window, determine the number of time sampling points within this time window. For each sampling time point within this time window When \(i\) ranges from 1 to \(n\), the system will determine whether the inhalation flow rate is greater than 0 or the exhalation flow rate is greater than 0. If one of the conditions is met, a count is performed. Finally, dividing this count result by the monitoring time window gives the respiratory rate within this time window. In this way, the system can dynamically calculate the patient's respiratory rate according to different time windows. Real-time and accurate monitoring of the respiratory rate can obtain the patient's respiratory rate information in real time. By collecting data at the preset sampling frequency and calculating in a timely manner, doctors or relevant medical systems can understand the changes in the patient's respiratory rate at any time. Since relatively accurate measurement and calculation methods are adopted, based on the inhalation and exhalation flow rates as the judgment basis, it can accurately reflect the patient's actual respiratory rate, avoiding errors caused by simple estimation or other inaccurate methods, providing reliable data support for subsequent medical decisions; adapting to different monitoring needs, by setting different monitoring time windows, the needs for respiratory rate monitoring in different scenarios can be met. For example, in some emergency situations where it is necessary to quickly grasp the changes in the patient's respiratory status, a shorter time window can be set to promptly capture the instantaneous changes in the respiratory rate; while in long-term disease tracking and analysis, a longer time window can be set to obtain more stable and representative respiratory rate data. This flexibility makes this technical solution applicable to a variety of medical scenarios, improving its versatility and practicality. Providing a strong basis for medical decisions, accurate respiratory rate data is of great significance for doctors to judge the patient's condition, formulate treatment plans, and evaluate the treatment effect. For example, abnormal increases or decreases in the respiratory rate may be important indicators of the patient's deteriorating or improving condition. Doctors can adjust the treatment plan in a timely manner according to the real-time obtained respiratory rate data, such as adjusting the drug dosage, changing the treatment method, etc., thereby improving the pertinence and effectiveness of the treatment and contributing to the patient's recovery. Strong data traceability and analyzability, the collected data is stored in chronological order to form a data set, which makes the respiratory rate data have good traceability. Medical staff can review the changes in the patient's respiratory rate at different time periods for data analysis and research. By statistically analyzing the respiratory rate data of a large number of patients, the respiratory rate characteristics and laws of patients with different diseases and different age groups can also be discovered, providing valuable references for medical research and clinical practice.

[0037] In one embodiment of the present invention, the remaining amount of the atomizing liquid in the atomizer is monitored, the respiratory rate and the remaining amount of the atomizing liquid are fuzzily classified, and the atomizing rate is adjusted according to different category combinations of the respiratory rate and the remaining amount of the atomizing liquid, including: The patient's respiratory rate is divided into three linguistic variables: slow, medium, and fast. The membership function adopts a triangular distribution. Specifically, the membership function of slow is:

[0038] Among them, represents the degree to which the respiratory rate belongs to the "slow" fuzzy set, represents the lower limit value of the slow frequency range, represents the upper limit value of the slow frequency range, and f represents the patient's respiratory rate; The membership function in

[0039] Among them, represents the degree to which the respiratory rate belongs to the "slow" fuzzy set, represents the lower starting boundary of the "medium" fuzzy set, represents the turning point of the membership degree change, represents the upper boundary of the "medium" fuzzy set; The membership function of fast is:

[0040] Among them, represents the lower boundary of the "fast" fuzzy set, represents the boundary of the "fast" fuzzy set; Monitor the remaining amount of the atomized liquid, and fuzzify the remaining amount of the atomized liquid. Specifically, the membership function of less remaining amount of the atomized liquid is:

[0041] Among them, represents the degree to which the remaining amount of the atomized liquid belongs to the "less" fuzzy set, represents the lower boundary of the "less" fuzzy set, represents the upper boundary of the "less" fuzzy set;

[0042] Among them, represents the degree to which the remaining amount of the atomized liquid belongs to the "more" fuzzy set, represents the lower boundary for dividing the "more" fuzzy set, represents the upper boundary of the "more" fuzzy set; Establish a fuzzy rule base based on the remaining amount of the atomized liquid and the patient's respiratory rate, and adjust the atomization rate of the atomizer based on the membership degrees of the respiratory rate and the remaining amount of the atomized liquid in the fuzzy rule base.

[0043] The working principle and effects of the above technical solution are as follows: First, the breathing frequency of the patient is obtained through a specific measurement method. Then, based on three preset linguistic variables (slow, medium, fast) and their corresponding triangular distribution membership functions, the breathing frequency is fuzzily classified. The remaining amount of the atomizing liquid in the atomizer is monitored. Then, according to the two fuzzy sets of "less" and "more" and their membership functions, the remaining amount of the atomizing liquid is fuzzified, and the different fuzzy classification results of the breathing frequency and the remaining amount of the atomizing liquid are combined to establish a fuzzy rule base. According to the current breathing frequency and the remaining amount of the atomizing liquid of the patient, through the membership degrees of them in their respective fuzzy sets calculated previously, the corresponding rules are found in the fuzzy rule base. Then, based on these rules and the membership degree situation, the atomizing rate adjustment scheme of the atomizer is comprehensively determined to realize the adjustment of the atomizing rate. Personalized adjustment of the atomizing rate. This technical solution can realize personalized adjustment of the atomizing rate according to the unique breathing frequency and the remaining amount of the atomizing liquid of each patient. There are differences in the breathing conditions and drug requirements of different patients. Through this way of fuzzy classification and rule matching, the most suitable atomizing treatment parameters can be provided for each patient to improve the treatment effect. For example, for a patient with a fast breathing frequency and a large remaining amount of the atomizing liquid, the atomizing rate may be appropriately increased to ensure that the drug can be inhaled by the patient in time and sufficiently. The establishment of the fuzzy classification and the rule base enables the system to flexibly handle various different combinations of situations. Whether it is the gradual change of the breathing frequency or the dynamic reduction of the remaining amount of the atomizing liquid, the system can adjust the atomizing rate according to the new state. This adaptability can better meet the needs of patients at different treatment stages and improve the stability and effectiveness of the entire treatment process. By using the method of fuzzy sets and membership functions, the fuzzy information such as the breathing frequency and the remaining amount of the atomizing liquid can be effectively processed. In the actual medical scenario, it is difficult to define "fast" and "slow" of the breathing frequency and "more" and "less" of the remaining amount of the atomizing liquid with an exact numerical value, while fuzzy classification can describe these states more naturally and accurately. The atomizing rate adjustment decision made in this way is more in line with the actual situation and can avoid unreasonable decisions caused by overly precise division. Optimize resource utilization. Considering the remaining amount of the atomizing liquid to adjust the atomizing rate can avoid waste of drugs. When the remaining amount of the atomizing liquid is less, the atomizing rate is reasonably reduced to ensure that the drug can play the treatment role as much as possible based on the remaining amount, improve the utilization efficiency of resources, and at the same time reduce the treatment cost.

[0044] An embodiment of the present invention establishes a fuzzy rule base based on the remaining amount of the atomizing liquid and the patient's breathing frequency, and adjusts the atomizing rate of the atomizer based on the membership degrees of the breathing frequency and the remaining amount of the atomizing liquid in the fuzzy rule base, including: Establish Rule 1: IF the breathing frequency is slow AND the remaining amount of the atomizing liquid is THEN the adjustment amount of the atomizing rate is to maintain Stable; Establish Rule 2: IF the breathing rate is slow AND the remaining amount of atomization liquid is small THEN the adjustment amount of atomization rate is reduced by 5%; Establish Rule 3: IF the breathing rate is medium AND the remaining amount of atomization liquid is large THEN the adjustment amount of atomization rate is kept stable; Establish Rule 4: IF the breathing rate is medium AND the remaining amount of atomization liquid is small THEN the adjustment amount of atomization rate is increased by 5%; Establish Rule 5: IF the breathing rate is fast AND the remaining amount of atomization liquid is large THEN the adjustment amount of atomization rate is increased by 10%; Establish Rule 6: IF the breathing rate is fast AND the remaining amount of atomization liquid is small THEN the adjustment amount of atomization rate is increased by 5%; Calculate the membership degree distribution of the fuzzy output, and calculate the precise adjustment amount of the atomizer through the precise adjustment model based on the output membership degree distribution. Specifically, the precise adjustment model is:

[0045] Among them, u represents the precise adjustment amount of the atomization rate of the atomizer, n represents the number of rules in the fuzzy rule base, represents the membership degree belonging to the i-th fuzzy rule in the fuzzy rule base, represents the numerical value of the atomization rate adjustment amount of the i-th fuzzy rule in the fuzzy rule base.

[0046] The working principle and effects of the above technical solution are as follows: First, accurate values of the patient's breathing frequency and the remaining amount of the atomizing liquid in the atomizer are obtained. Then, according to the membership functions given above, the breathing frequency is divided into three fuzzy categories: slow, medium, and fast, and the remaining amount of the atomizing liquid is divided into two fuzzy categories: much and little. In this process, according to the membership functions of each category, the degrees to which the current breathing frequency and the remaining amount of the atomizing liquid belong to each fuzzy category are calculated. For example, for the breathing frequency, by substituting its value into the corresponding membership function, the membership degrees of it belonging to "slow", "medium", and "fast" are obtained; for the remaining amount of the atomizing liquid, substitute and calculate its membership degrees of belonging to "little" and "much"; Based on the above fuzzification results, the fuzzy categories of the breathing frequency and the remaining amount of the atomizing liquid are combined and matched with the pre-established fuzzy rule base. For example, if the membership degree of the current breathing frequency belonging to "slow" is relatively high (membership degree greater than 0), and the membership degree of the remaining amount of the atomizing liquid belonging to "much" is relatively high (membership degree greater than 0), then Rule 1 "IF the breathing frequency is slow AND the remaining amount of the atomizing liquid is much THEN the adjustment amount of the atomizing rate is to remain stable" will be activated. Each activated rule has a corresponding membership degree, which is determined by taking the minimum value, etc. of the membership degrees of the breathing frequency and the remaining amount of the atomizing liquid belonging to their respective fuzzy categories. For example, for Rule 1, its membership degree is the minimum value of the membership degree of the breathing frequency belonging to "slow" and the membership degree of the remaining amount of the atomizing liquid belonging to "much"; Calculate the fuzzy output membership degree distribution. After determining the membership degrees of all activated rules, the numerical value of the adjustment amount of the atomizing rate corresponding to each rule (such as the adjustment amount of Rule 1 is to remain stable, that is, x1 = 0%, and the adjustment amount of Rule 2 is to decrease by 5%, that is, x2 = -5%) and its membership degree are obtained, thus forming the fuzzy output membership degree distribution, that is, a set of data containing different rule adjustment amounts and their corresponding membership degrees; Calculate the accurate adjustment amount. Use the accurate adjustment model to calculate the accurate adjustment amount of the atomizer. In this formula, the numerator is the sum of the products of the numerical values of the adjustment amounts of the atomizing rates of all rules and their membership degrees, and the denominator is the sum of the membership degrees of all rules. Through this formula, considering the influences of all activated rules comprehensively, an accurate adjustment amount of the atomizing rate is obtained, and this adjustment amount will be used to actually adjust the operation of the atomizer. Precise treatment. This technical solution can accurately calculate the adjustment amount of the atomizing rate of the atomizer according to the specific conditions of the patient's real-time breathing frequency and the remaining amount of the atomizing liquid; compared with the traditional fixed atomizing rate setting, this method can better adapt to the individual differences of patients and the changes during the treatment process, enabling the drug to be delivered more accurately into the patient's body and improving the treatment effect; for example, for patients with a fast breathing frequency and sufficient atomizing liquid, increasing the atomizing rate by a higher proportion can ensure sufficient drug inhalation volume when the patient breathes faster, thus treating the disease more effectively; considering the remaining amount of the atomizing liquid to adjust the atomizing rate helps to rationally utilize the atomizing liquid resources.When the remaining amount of the atomization liquid is small, by appropriately adjusting the atomization rate (such as the adjustments in Rules 2, 4, and 6 when the remaining amount of the atomization liquid is small), it is possible to avoid premature depletion of the drug due to too high an atomization rate, ensure a better therapeutic effect with a limited amount of drug, reduce drug waste, and lower the treatment cost; improve the safety and comfort of treatment. Reasonable adjustment of the atomization rate can avoid discomfort caused to the patient by too fast or too slow an atomization rate. For example, for a patient with a slow breathing rate, maintaining a stable or appropriately reducing the atomization rate can prevent adverse reactions such as choking cough and dyspnea caused by the patient inhaling too much drug or being unaccustomed to too fast an atomization speed, and improve the safety and comfort of the patient during the treatment process. It has strong flexibility and adaptability. By establishing multiple fuzzy rules, various possible combinations of breathing rate and remaining amount of atomization liquid can be covered. This enables the system to flexibly respond to the different states of different patients and the changes of the same patient at different treatment stages. Even when the breathing rate and the remaining amount of atomization liquid of the patient are in a fuzzy boundary situation, an appropriate adjustment amount can be obtained through fuzzy reasoning and precise calculation to ensure the smooth progress of the treatment process.

[0047] In one embodiment of the present invention, the data of the atomization rate adjusted with time of the patient is remotely sent to the doctor through wireless communication technology, including: Before transmitting the atomization rate adjustment data, encrypt the atomization rate adjustment data, and after encryption, use wireless communication technology to transmit the data to the doctor; Apply an error correction coding mechanism and a data packet confirmation mechanism so that the doctor can accurately receive the atomization rate adjustment data.

[0048] The working principle and effects of the above technical solution are as follows: For encryption processing, an encryption algorithm is selected. At the nebulizer end, a suitable encryption algorithm is selected from multiple encryption algorithms (such as AES, RSA, etc.). Taking AES (Advanced Encryption Standard) as an example, it is a symmetric encryption algorithm with the characteristics of high efficiency and security. After determining the algorithm, an encryption key is generated, and this key is used to encrypt and decrypt the atomization rate adjustment data. Data encryption performs encryption operations on the atomization rate adjustment data to be transmitted according to the rules of the selected encryption algorithm. For example, the AES algorithm divides the data into blocks of a fixed length (such as 128 bits), and then uses the key to perform a series of complex mathematical transformations on each data block, including byte substitution, row shift, column confusion, and round key addition operations, and finally converts the original atomization rate adjustment data into ciphertext. In this way, even if the data is obtained by a third party during transmission, the original atomization rate adjustment data cannot be restored without the correct key. The nebulizer selects a suitable wireless communication technology according to its own design and usage scenarios, such as Wi-Fi, Bluetooth, 4G, or 5G, etc. Taking Wi-Fi as an example, the Wi-Fi module of the nebulizer needs to configure the relevant information of the access point (AP), such as SSID (wireless network name) and password, so as to connect to the local wireless network. Once the connection is successful, the nebulizer can communicate with the remote server or the doctor's device through this network. The encrypted atomization rate adjustment data is encapsulated into data packets suitable for wireless communication transmission. These data packets contain the encrypted atomization rate adjustment data and some necessary header information, such as source address, destination address, data packet sequence number, etc. Then, the data packets are sent through the wireless communication module and pass through a series of routing and switching devices in the network to be transmitted to the doctor's end. At the nebulizer end, an error correction coding mechanism is applied to the encapsulated data packets. For example, the cyclic redundancy check (CRC) code is used, which is a coding method based on polynomial division. Before sending the data packet, a CRC check code is calculated according to the data content in the data packet and appended to the end of the data packet. After the doctor's end receives the data packet, the CRC check code is recalculated according to the same algorithm and compared with the received check code. If the two are the same, it means that the data packet has not been in error during transmission; if they are different, the doctor's end can request the nebulizer to resend the data packet. After the doctor's device receives the data packet, it will send an acknowledgment message (ACK) to the nebulizer to inform the nebulizer that the data has been successfully received. After sending the data packet, the nebulizer starts a timer to wait for the ACK message. If the ACK message is not received before the timer times out, the nebulizer will consider the data packet transmission to have failed and resend the data packet. Through this data packet confirmation mechanism, it is ensured that each data packet can be accurately received by the doctor's end.Encrypting the atomization rate adjustment data can effectively protect the privacy information of patients. During data transmission, even if the network is monitored by malicious attackers, since the data has been encrypted, the attackers cannot obtain meaningful patient atomization treatment data, reducing the risk of patient data leakage and safeguarding the rights and interests of patients; Data integrity protection, the error correction coding mechanism can not only detect whether errors occur in the data packets during transmission, but also correct some small errors to a certain extent. This ensures the integrity of the atomization rate adjustment data received by the doctor's end, avoids misjudgment of the patient's treatment situation by the doctor due to data errors, and guarantees the accuracy of medical decisions; Reliable data transmission, improving the transmission success rate, the data packet confirmation mechanism greatly improves the reliability of data transmission. The atomizer will retransmit the data packet when it does not receive the ACK message, reducing the impact of data packet loss caused by network fluctuations, signal interference, etc., and ensuring that the doctor can receive all the atomization rate adjustment data completely and accurately. This is crucial for the doctor to timely understand the patient's treatment progress and make correct medical decisions; Stable remote medical support, stable and reliable data transmission provides a solid foundation for remote medical treatment. Doctors can obtain the patient's atomization treatment data in real time and accurately, realizing effective monitoring of the patient's treatment process. Even if the patient and the doctor are in different locations, they can provide medical guidance and intervention as if they were on the spot, enhancing the feasibility and practicality of remote medical treatment.

[0049] An embodiment of the present invention, a control system of an atomizer, the system includes: A module for obtaining the patient's breathing frequency, which is used to obtain the patient's breathing frequency through the breathing flow sensors installed at the air inlet and outlet of the atomizer; A module for adjusting the atomization rate of the atomizer, which is used to monitor the remaining amount of the atomization liquid in the atomizer, perform fuzzy classification on the breathing frequency and the remaining amount of the atomization liquid, establish a fuzzy rule base according to different category combinations of the breathing frequency and the remaining amount of the atomization liquid, and adjust the atomization rate of the atomizer based on the membership degrees of the breathing frequency and the remaining amount of the atomization liquid in the fuzzy rule base; A remote monitoring module, which is used to remotely send the data of the patient's atomization rate adjusted over time to the doctor through wireless communication technology.

[0050] The working principle and effects of the above technical solution are as follows: Data collection: Breath flow sensors are installed at the air inlet and outlet of the nebulizer to sense the changes in the airflow using the sensors. When the patient breathes, the airflow enters and exits the nebulizer, causing physical changes in the internal components of the sensor (such as the thermistor in a thermal sensor or the diaphragm in a differential pressure sensor). This change is converted into an electrical signal. By analyzing and processing the electrical signal, for example, using a specific algorithm to calculate the number of respiratory cycles per unit time, the patient's respiratory rate can be obtained; at the same time, the remaining amount of the nebulizing liquid in the nebulizer is monitored by devices such as pressure sensors or capacitive liquid level sensors. The pressure sensor is based on the relationship between liquid level and pressure, and the capacitive liquid level sensor converts the remaining amount of the nebulizing liquid into a measurable electrical signal value according to the principle that the liquid level change causes a change in capacitance value; Fuzzification of the collected data on respiratory rate and remaining amount of nebulizing liquid. The respiratory rate is divided into fuzzy sets such as slow, medium, and fast, and the remaining amount of nebulizing liquid is divided into fuzzy sets such as less and more; this is achieved by setting membership functions. For example, for the membership function of "slow" respiratory rate, when the respiratory rate is in a certain lower interval, its membership degree is 1, indicating complete belonging to the "slow" category; as the respiratory rate increases, the membership degree gradually decreases to 0 according to a specific functional relationship. The same applies to the remaining amount of nebulizing liquid, and different liquid level intervals correspond to different membership degree values to quantify the degree to which it belongs to fuzzy sets such as "less" or "more"; Fuzzy rule inference: A fuzzy rule base is established based on different category combinations of respiratory rate and remaining amount of nebulizing liquid. For example, if the respiratory rate is "fast" and the remaining amount of nebulizing liquid is "more", the rule may be to significantly increase the nebulization rate; if the respiratory rate is "slow" and the remaining amount of nebulizing liquid is "less", the rule may be to slightly decrease the nebulization rate. Based on these rules and the membership degrees of the respiratory rate and remaining amount of nebulizing liquid in their respective fuzzy sets, through the method of fuzzy inference, a comprehensive decision on the adjustment of the nebulization rate is obtained. This inference process considers the combined effects of multiple rules, weights the contributions of different rules according to the size of the membership degrees, and thus determines the final adjustment direction and degree of the nebulization rate; The nebulizer packages the nebulization rate after each adjustment and the corresponding time information. Wireless communication technologies such as Wi-Fi, Bluetooth, 4G, or 5G are used. If Wi-Fi is used, the nebulizer connects to the wireless network of a home or medical institution, sends the data to the Internet, and finally transmits it to a remote server; 4G or 5G enables the nebulizer to directly send the data to the remote server through the mobile network. The doctor can obtain the data on the adjustment of the nebulization rate over time by accessing the server or relevant applications.Personalized and precise treatment can dynamically adjust the atomization rate according to the patient's real-time breathing frequency and the remaining amount of atomized liquid. Since the breathing conditions and drug requirements of each patient are different, in this way, it can ensure that the atomizer outputs the most suitable atomization rate for the patient at different treatment stages, improving the deposition efficiency of the drug in the respiratory tract and the treatment effect. For example, for patients with rapid breathing, the atomization rate can be increased in a timely manner so that the drug can reach the lesion site more quickly; for patients with stable breathing and little remaining atomized liquid, the atomization rate can be appropriately reduced to avoid drug waste while ensuring the continuity of treatment; it improves treatment safety and avoids discomfort or risks caused to patients due to improper atomization rate. If the atomization rate is too fast, it may cause adverse reactions such as choking cough and dyspnea in patients; if it is too slow, it may affect the treatment process. Through intelligent adjustment based on fuzzy logic, these risks can be effectively reduced, ensuring the safety and comfort of patients during the atomization treatment process; it optimizes resource utilization. Adjusting the atomization rate according to the remaining amount of atomized liquid can rationally utilize the atomized liquid resources. When the remaining amount of atomized liquid is small, by adjusting the atomization rate, it can ensure that the drug can be most effectively utilized within the remaining amount range, avoiding premature depletion or waste of the drug due to unreasonable atomization rate, improving the utilization rate of the drug, and reducing the treatment cost; doctors can remotely obtain the data of the patient's atomization rate adjustment to achieve real-time monitoring of the patient's treatment process. Whether the patient is undergoing atomization treatment at home or elsewhere, doctors can timely understand the treatment situation, discover problems in a timely manner and intervene. For example, if doctors find that the atomization rate of a patient frequently shows abnormal adjustment, it may mean that the patient's condition has changed or there is a malfunction in the atomizer. At this time, doctors can communicate with the patient in a timely manner, adjust the treatment plan or arrange equipment maintenance; at the same time, the long-term accumulated data can also be used for medical research and optimization of treatment plans, providing a reference basis for the treatment of similar diseases.

[0051] In one embodiment of the present invention, the module for obtaining the patient's breathing frequency includes: A data set construction module, configured to collect the patient's breathing flow data by the breathing flow sensor according to a preset sampling frequency, and store the collected breathing flow data in chronological order to form a data set; A breathing frequency calculation module, configured to traverse each sampling time point in the data set and calculate the patient's breathing frequency through a breathing frequency model. Specifically, the breathing frequency model is:

[0052] Wherein, represents the breathing frequency, T represents the monitoring time window, n represents the number of time sampling points within the time window T, represents the i-th sampling time point, which is a specific moment within the time window, and the value range of i is [1, n], represents at time the inspiratory flow rate at represents the time the expiratory flow rate at represents a logical OR operation.

[0053] The working principle and effects of the above technical solution are as follows: Data acquisition and storage. The respiratory flow sensor collects the flow data of the patient's breathing at a pre-set sampling frequency. This sampling frequency determines the number of data acquisitions per unit time. For example, it acquires 10 times per second. At each sampling, the sensor measures the inhalation flow and exhalation flow respectively, and the collected data is stored sequentially in chronological order, forming a data set containing the flow information at each sampling time point. This data set records the changes in the patient's respiratory flow over a period of time. After obtaining the data set, the system traverses each sampling time point in the data set. For each time window, the number of time sampling points within this time window is determined. Within this time window, for each sampling time point \(t_i\) (where \(i\) ranges from 1 to \(n\)), the system determines whether the inhalation flow is greater than 0 or the exhalation flow is greater than 0. If either condition is met, a count is made. Finally, this count result is divided by the monitoring time window to obtain the respiratory rate within this time window. In this way, the system can dynamically calculate the patient's respiratory rate according to different time windows. Real-time and accurate monitoring of the respiratory rate can obtain the patient's respiratory rate information in real time. By collecting data at the preset sampling frequency and calculating in a timely manner, doctors or relevant medical systems can understand the changes in the patient's respiratory rate at any time. Since relatively accurate measurement and calculation methods are used, based on the inhalation and exhalation flows as the judgment basis, it can accurately reflect the patient's actual respiratory rate, avoiding errors caused by simple estimation or other inaccurate methods, and providing reliable data support for subsequent medical decisions; Adapt to different monitoring requirements. By setting different monitoring time windows, the requirements for respiratory rate monitoring in different scenarios can be met. For example, in some emergency situations where it is necessary to quickly grasp the changes in the patient's respiratory status, a shorter time window can be set to promptly capture the instantaneous changes in the respiratory rate; while in long-term disease tracking and analysis, a longer time window can be set to obtain more stable and representative respiratory rate data. This flexibility makes this technical solution applicable to a variety of medical scenarios, improving its versatility and practicality. Provide strong evidence for medical decisions. Accurate respiratory rate data is of great significance for doctors to judge the patient's condition, formulate treatment plans, and evaluate the treatment effect. For example, abnormal increases or decreases in the respiratory rate may be important indicators of the patient's deteriorating or improving condition. Doctors can adjust the treatment plan in a timely manner according to the real-time obtained respiratory rate data, such as adjusting the drug dosage, changing the treatment method, etc., thereby improving the pertinence and effectiveness of the treatment and contributing to the patient's recovery. Strong data traceability and analyzability. The collected data is stored in chronological order to form a data set, which makes the respiratory rate data have good traceability. Medical staff can review the changes in the patient's respiratory rate at different time periods for data analysis and research.By statistically analyzing the respiratory rate data of a large number of patients, it is also possible to discover the respiratory rate characteristics and patterns of patients with different diseases and different age groups, providing valuable references for medical research and clinical practice.

[0054] In one embodiment of the present invention, the module for adjusting the atomization rate of the atomizer includes: A respiratory rate division module for dividing the respiratory rate of a patient into three linguistic variables: slow, medium, and fast. The membership function adopts a triangular distribution. Specifically, the membership function for slow is:

[0055] Where, represents the degree to which the respiratory rate belongs to the "slow" fuzzy set, represents the lower limit value of the slow frequency interval, represents the upper limit value of the slow frequency interval, and f represents the respiratory rate of the patient; The membership function in is:

[0056] Where, represents the degree to which the respiratory rate belongs to the "slow" fuzzy set, represents the lower starting boundary of the "medium" fuzzy set, represents the turning point of the membership degree change, represents the upper boundary of the "medium" fuzzy set; The membership function for fast is:

[0057] Where, represents the lower boundary of the "fast" fuzzy set, represents the boundary of the "fast" fuzzy set; A fuzzy atomizer remaining liquid amount module for monitoring the remaining amount of the atomizing liquid and fuzzyfying the remaining amount of the atomizing liquid. Specifically, the membership function for a small remaining amount of the atomizing liquid is:

[0058] Where, represents the degree to which the remaining amount of the atomizing liquid belongs to the "small" fuzzy set, represents the lower boundary of the "small" fuzzy set, represents the upper boundary of the "small" fuzzy set;

[0059] Where, represents the degree to which the remaining amount of the atomizing liquid belongs to the "large" fuzzy set, Represents the lower boundary for dividing the "many" fuzzy set, represents the upper boundary of the "many" fuzzy set; A fuzzy rule base module is established to build a fuzzy rule base based on the remaining amount of the atomized liquid and the patient's breathing frequency, and to adjust the atomization rate of the atomizer according to the membership degrees of the breathing frequency and the remaining amount of the atomized liquid in the fuzzy rule base.

[0060] The working principle and effects of the above technical solution are as follows: First, the patient's breathing frequency is obtained through a specific measurement method. Then, based on three preset linguistic variables (slow, medium, fast) and their corresponding triangular distribution membership functions, the breathing frequency is fuzzily classified; the remaining amount of the atomized liquid in the atomizer is monitored. Then, according to the two fuzzy sets of "less" and "many" and their membership functions, the remaining amount of the atomized liquid is fuzzified, and the different fuzzy classification results of the breathing frequency and the remaining amount of the atomized liquid are combined to establish a fuzzy rule base; according to the current patient's breathing frequency and the remaining amount of the atomized liquid, through the membership degrees calculated previously in their respective fuzzy sets, the corresponding rules are found in the fuzzy rule base. Then, based on these rules and the membership degree situation, a comprehensive determination of the atomization rate adjustment plan for the atomizer is made to achieve the adjustment of the atomization rate. Personalized adjustment of the atomization rate. This technical solution can achieve personalized adjustment of the atomization rate according to the unique breathing frequency and remaining amount of the atomized liquid of each patient. There are differences in the breathing conditions and drug requirements of different patients. Through this method of fuzzy classification and rule matching, the most suitable atomization treatment parameters can be provided for each patient, improving the treatment effect. For example, for a patient with a fast breathing frequency and a large remaining amount of the atomized liquid, the atomization rate may be appropriately increased to ensure that the drug can be inhaled by the patient in a timely and sufficient manner; the establishment of the fuzzy classification and the rule base enables the system to flexibly handle various different combinations of situations. Whether it is the gradual change of the breathing frequency or the dynamic reduction of the remaining amount of the atomized liquid, the system can adjust the atomization rate according to the new state. This adaptability can better meet the needs of patients at different treatment stages and improve the stability and effectiveness of the entire treatment process; by using the method of fuzzy sets and membership functions, it can effectively process the fuzzy information such as the breathing frequency and the remaining amount of the atomized liquid. In actual medical scenarios, it is difficult to define the "fast" and "slow" of the breathing frequency and the "many" and "less" of the remaining amount of the atomized liquid with an exact numerical value, while fuzzy classification can more naturally and accurately describe these states. The atomization rate adjustment decision made in this way is more in line with the actual situation and can avoid unreasonable decisions caused by overly precise division; optimize resource utilization. Considering the remaining amount of the atomized liquid to adjust the atomization rate can avoid waste of drugs. When the remaining amount of the atomized liquid is small, the atomization rate is reasonably reduced to ensure that the drug can play its therapeutic role as much as possible based on the remaining amount, improving the utilization efficiency of resources and reducing the treatment cost at the same time.

[0061] In one embodiment of the present invention, the fuzzy rule base establishing module includes: A rule establishing module, which establishes Rule 1: IF the breathing rate is slow AND the remaining amount of the atomized liquid is [unspecified] THEN the adjustment amount of the atomization rate is to remain stable; Establish Rule 2: IF the breathing rate is slow AND the remaining amount of the atomized liquid is small THEN the adjustment amount of the atomization rate is to be reduced by 5%; Establish Rule 3: IF the breathing rate is medium AND the remaining amount of the atomized liquid is large THEN the adjustment amount of the atomization rate is to remain stable; Establish Rule 4: IF the breathing rate is medium AND the remaining amount of the atomized liquid is small THEN the adjustment amount of the atomization rate is to be increased by 5%; Establish Rule 5: IF the breathing rate is fast AND the remaining amount of the atomized liquid is large THEN the adjustment amount of the atomization rate is to be increased by 10%; Establish Rule 6: IF the breathing rate is fast AND the remaining amount of the atomized liquid is small THEN the adjustment amount of the atomization rate is to be increased by 5%; An accurate adjustment module, which is used to calculate the membership degree distribution of the fuzzy output, and calculate the accurate adjustment amount of the atomizer through the accurate adjustment model based on the output membership degree distribution. Specifically, the accurate adjustment model is:

[0062] where u represents the accurate adjustment amount of the atomization rate of the atomizer, n represents the number of rules in the fuzzy rule base, represents the membership degree belonging to the i-th fuzzy rule in the fuzzy rule base, represents the numerical value of the adjustment amount of the atomization rate of the i-th fuzzy rule in the fuzzy rule base.

[0063] The working principle and effects of the above technical solution are as follows: First, accurate values of the patient's breathing frequency and the remaining amount of the atomization liquid in the atomizer are obtained. Then, according to the membership functions given above, the breathing frequency is divided into three fuzzy categories: slow, medium, and fast, and the remaining amount of the atomization liquid is divided into two fuzzy categories: much and little. In this process, according to the membership functions of each category, the degrees to which the current breathing frequency and the remaining amount of the atomization liquid belong to each fuzzy category are calculated. For example, for the breathing frequency, by substituting its value into the corresponding membership function, the membership degrees of it belonging to "slow", "medium", and "fast" are obtained; for the remaining amount of the atomization liquid, substitute and calculate its membership degrees of belonging to "little" and "much"; Based on the above fuzzy results, the fuzzy categories of the breathing frequency and the remaining amount of the atomization liquid are combined and matched with the pre-established fuzzy rule base. For example, if the membership degree of the current breathing frequency belonging to "slow" is relatively high (membership degree greater than 0), and the membership degree of the remaining amount of the atomization liquid belonging to "much" is relatively high (membership degree greater than 0), then Rule 1 "IF the breathing frequency is slow AND the remaining amount of the atomization liquid is much THEN the adjustment amount of the atomization rate is to remain stable" will be activated. Each activated rule has a corresponding membership degree, which is determined by taking the minimum value of the membership degrees of the breathing frequency and the remaining amount of the atomization liquid belonging to their respective fuzzy categories. For example, for Rule 1, its membership degree is the minimum value of the membership degree of the breathing frequency belonging to "slow" and the membership degree of the remaining amount of the atomization liquid belonging to "much"; Calculate the fuzzy output membership degree distribution. After determining the membership degrees of all activated rules, the numerical values of the adjustment amount of the atomization rate corresponding to each rule (such as the adjustment amount of Rule 1 is to remain stable, that is, x1 = 0%, and the adjustment amount of Rule 2 is to decrease by 5%, that is, x2 = -5%) and their membership degrees are obtained, thus forming the fuzzy output membership degree distribution, that is, a set of data containing different rule adjustment amounts and their corresponding membership degrees; Calculate the precise adjustment amount. Use the precise adjustment model to calculate the precise adjustment amount of the atomizer. In this formula, the numerator is the sum of the products of the numerical values of the adjustment amount of the atomization rate of all rules and their membership degrees, and the denominator is the sum of all rule membership degrees. Through this formula, considering the influence of all activated rules, an accurate adjustment amount of the atomization rate is obtained, and this adjustment amount will be used to actually adjust the operation of the atomizer. Precise treatment. This technical solution can accurately calculate the adjustment amount of the atomization rate of the atomizer according to the specific conditions of the patient's real-time breathing frequency and the remaining amount of the atomization liquid; Compared with the traditional fixed atomization rate setting, this method can better adapt to the individual differences of patients and the changes during the treatment process, enabling the drug to be delivered to the patient's body more precisely and improving the treatment effect; For example, for patients with a fast breathing frequency and sufficient atomization liquid, increasing the atomization rate by a higher proportion can ensure sufficient drug inhalation when the patient breathes fast, thus treating the disease more effectively; Considering the remaining amount of the atomization liquid to adjust the atomization rate helps to rationally utilize the atomization liquid resources.When the remaining amount of the atomization liquid is small, by appropriately adjusting the atomization rate (such as the adjustments in Rules 2, 4, and 6 when the remaining amount of the atomization liquid is small), it is possible to avoid premature depletion of the drug due to too high an atomization rate, ensure a better therapeutic effect with a limited amount of drug, reduce drug waste, and lower the treatment cost; improve the safety and comfort of treatment. Reasonable adjustment of the atomization rate can avoid discomfort caused to the patient by too fast or too slow an atomization rate. For example, for patients with a slow breathing rate, maintaining a stable or appropriately reducing the atomization rate can prevent adverse reactions such as choking cough and dyspnea caused by the patient inhaling too much drug or being unable to adapt to too fast an atomization speed, and improve the safety and comfort of the patient during the treatment process. It has strong flexibility and adaptability. By establishing multiple fuzzy rules, various combinations of possible breathing rates and remaining amounts of atomization liquid can be covered. This enables the system to flexibly respond to different states of different patients and changes in the same patient at different treatment stages. Even when the breathing rate and the remaining amount of atomization liquid of the patient are in a fuzzy boundary situation, an appropriate adjustment amount can be obtained through fuzzy reasoning and precise calculation to ensure the smooth progress of the treatment process.

[0064] In an embodiment of the present invention, the remote monitoring module includes: An encryption transmission module, configured to encrypt the atomization rate adjustment data before transmitting it, and after encryption, use wireless communication technology to transmit the data to the doctor; A receiving module, configured to apply an error correction coding mechanism and a data packet confirmation mechanism to accurately receive the atomization rate adjustment data at the doctor end.

[0065] The working principle and effects of the above technical solution are as follows: For encryption processing, an encryption algorithm is selected. At the nebulizer end, a suitable encryption algorithm is selected from various encryption algorithms (such as AES, RSA, etc.). Taking AES (Advanced Encryption Standard) as an example, it is a symmetric encryption algorithm with the characteristics of high efficiency and security. After determining the algorithm, an encryption key is generated, and this key is used to encrypt and decrypt the atomization rate adjustment data. Data encryption encrypts the atomization rate adjustment data to be transmitted according to the rules of the selected encryption algorithm. For example, the AES algorithm divides the data into blocks of a fixed length (such as 128 bits), and then uses the key to perform a series of complex mathematical transformations on each data block, including byte substitution, row shift, column confusion, and round key addition operations, and finally converts the original atomization rate adjustment data into ciphertext. In this way, even if the data is obtained by a third party during transmission, the original atomization rate adjustment data cannot be restored without the correct key. The nebulizer selects a suitable wireless communication technology according to its own design and usage scenarios, such as Wi-Fi, Bluetooth, 4G, or 5G, etc. Taking Wi-Fi as an example, the Wi-Fi module of the nebulizer needs to configure the relevant information of the access point (AP), such as SSID (wireless network name) and password, so as to connect to the local wireless network. Once the connection is successful, the nebulizer can communicate with the remote server or the doctor's device through this network. The encrypted atomization rate adjustment data is encapsulated into data packets suitable for wireless communication transmission. These data packets contain the encrypted atomization rate adjustment data and some necessary header information, such as source address, destination address, packet sequence number, etc. Then, the data packets are sent through the wireless communication module and pass through a series of routing and switching devices in the network and are transmitted to the doctor's end. At the nebulizer end, an error correction coding mechanism is applied to the encapsulated data packets. For example, the cyclic redundancy check (CRC) code is used, which is a coding method based on polynomial division. Before sending the data packet, a CRC check code is calculated according to the data content in the data packet and the check code is appended to the end of the data packet. After the doctor's end receives the data packet, the CRC check code is recalculated according to the same algorithm and compared with the received check code. If the two are consistent, it means that the data packet has not made an error during transmission; if they are inconsistent, the doctor's end can request the nebulizer to resend the data packet. After the doctor's device receives the data packet, it will send an acknowledgment message (ACK) to the nebulizer to inform the nebulizer that the data has been successfully received. After sending the data packet, the nebulizer will start a timer to wait for the ACK message. If the ACK message is not received before the timer times out, the nebulizer will consider the data packet transmission to have failed and resend the data packet. Through this data packet confirmation mechanism, it is ensured that each data packet can be accurately received by the doctor's end.Encrypting the atomization rate adjustment data can effectively protect the privacy information of patients. During data transmission, even if the network is monitored by malicious attackers, since the data has been encrypted, the attackers cannot obtain meaningful patient atomization treatment data, reducing the risk of patient data leakage and safeguarding the rights and interests of patients; Data integrity protection, the error correction coding mechanism can not only detect whether errors occur in the data packets during transmission, but also correct some small errors to a certain extent. This ensures the integrity of the atomization rate adjustment data received by the doctor's end, avoiding misjudgment of the patient's treatment situation by the doctor due to data errors and guaranteeing the accuracy of medical decisions; Reliable data transmission, improving the transmission success rate, the data packet confirmation mechanism greatly improves the reliability of data transmission. The nebulizer will retransmit the data packet when it does not receive the ACK message, reducing the impact of data packet loss caused by network fluctuations, signal interference, etc., ensuring that the doctor can receive all the atomization rate adjustment data completely and accurately. This is crucial for the doctor to timely understand the patient's treatment progress and make correct medical decisions; Stable remote medical support, stable and reliable data transmission provides a solid foundation for remote medical treatment. Doctors can obtain the patient's atomization treatment data in real time and accurately, realizing effective monitoring of the patient's treatment process. Even if the patient and the doctor are in different locations, they can provide medical guidance and intervention as if they were on the spot, enhancing the feasibility and practicality of remote medical treatment.

[0066] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalent technologies, the present invention is also intended to include these changes and modifications.

Claims

1. A method for controlling an atomizer, characterized in that: The method comprises: The patient's respiratory rate is obtained through respiratory flow sensors installed at the air inlet and outlet of the nebulizer; Monitor the remaining amount of nebulizer liquid in the nebulizer, perform fuzzy classification on the respiratory frequency and the remaining amount of nebulizer liquid, establish a fuzzy rule base according to different category combinations of the respiratory frequency and the remaining amount of nebulizer liquid, and adjust the nebulizer atomization rate based on the membership of the respiratory frequency and the remaining amount of nebulizer liquid in the fuzzy rule base; The data of the patient's nebulization rate adjustment over time is sent remotely to the doctor via wireless communication technology.

2. The control method of an atomizer according to claim 1, characterized in that: The patient's respiratory rate is obtained through the respiratory flow sensors installed at the air inlet and outlet of the nebulizer, including: The respiratory flow sensor collects the patient's respiratory flow data according to a preset sampling frequency, and stores the collected respiratory flow data in chronological order to form a data set; Traverse each sampling time point in the data set and calculate the patient's respiratory frequency through the respiratory frequency model. Specifically, the respiratory frequency model is: ； in, represents the respiratory rate, T represents the monitoring time window, and n represents the number of time sampling points within the time window T. Represents the i-th sampling time point, which is a specific moment in the time window. The value range of i is [1, n]. Indicates at time The inspiratory flow rate at Indicates at time Expiratory flow rate, Represents a logical OR operation.

3. The control method of an atomizer according to claim 1, characterized in that: Monitor the remaining amount of nebulizer liquid in the nebulizer, fuzzy classify the respiratory rate and the remaining amount of nebulizer liquid, and adjust the nebulization rate according to different combinations of respiratory rate and the remaining amount of nebulizer liquid, including: The patient's respiratory rate is divided into three language variables: slow, medium and fast. The membership function adopts a triangular distribution. Specifically, the membership function of slow is: ； in, Indicates the degree to which the respiratory rate belongs to the "slow" fuzzy set, Indicates the lower limit of the slow frequency interval. represents the upper limit of the slow frequency interval, and f represents the patient's respiratory rate; The membership function in is: ； in, Indicates the degree to which the respiratory rate belongs to the "slow" fuzzy set, represents the lower starting boundary of the "middle" fuzzy set, Indicates the turning point of membership change, represents the upper boundary of the "medium" fuzzy set; The fast membership function is: ； in, represents the lower bound of the "fast" fuzzy set, represents the boundary of the "fast" fuzzy set; Monitor the remaining amount of atomized liquid and fuzzify the remaining amount of atomized liquid. Specifically, the membership function of the small amount of remaining atomized liquid is: ； in, Indicates the degree to which the remaining amount of atomized liquid belongs to the "few" fuzzy set, represents the lower bound of the "few" fuzzy set, Indicates the upper boundary of the "few" fuzzy set; ； in, Indicates the degree to which the remaining amount of atomized liquid belongs to the "many" fuzzy set, represents the lower boundary of dividing "many" fuzzy sets, Indicates the upper boundary of the "many" fuzzy set; A fuzzy rule base is established based on the remaining amount of nebulized liquid and the patient's respiratory frequency, and the nebulization rate of the nebulizer is adjusted based on the membership degree of the fuzzy rule base based on the respiratory frequency and the remaining amount of nebulized liquid.

4. The control method of an atomizer according to claim 3, characterized in that: A fuzzy rule base is established based on the remaining amount of nebulized liquid and the patient's respiratory frequency, and the nebulization rate of the nebulizer is adjusted based on the membership degree of the fuzzy rule base based on the respiratory frequency and the remaining amount of nebulized liquid, including: Establish Rule 1: IF the respiratory rate is slow AND the amount of nebulizer fluid remaining is THEN the nebulizer rate adjustment is maintained Stablize; Establish rule 2: IF respiratory rate is slow AND the amount of nebulizer fluid remaining is small THEN the nebulizer rate adjustment is reduced by 5%; Establish rule three: IF respiratory rate is medium AND the amount of nebulizer fluid remaining is high THEN the nebulizer rate adjustment amount is to remain stable; Establish Rule 4: IF respiratory rate is medium AND the amount of nebulizer fluid remaining is small THEN the nebulizer rate adjustment amount is increased by 5%; Establish Rule 5: IF the respiratory rate is fast AND the amount of nebulizer fluid remaining is large THEN the nebulizer rate adjustment amount is increased by 10%; Establish Rule 6: IF the respiratory rate is fast AND the amount of nebulizer fluid remaining is small THEN the nebulizer rate adjustment amount is increased by 5%; Calculate the fuzzy output membership distribution, and calculate the precise adjustment amount of the atomizer through a precise adjustment model based on the output membership distribution. Specifically, the precise adjustment model is: ； Where u represents the precise adjustment amount of the atomizer's atomization rate, n represents the number of rules in the fuzzy rule base, represents the membership degree of the i-th fuzzy rule in the fuzzy rule base, Represents the value of the atomization rate adjustment of the i-th fuzzy rule in the fuzzy rule base.

5. The control method of an atomizer according to claim 1, characterized in that: The data of the patient's nebulization rate adjustment over time is sent remotely to the doctor via wireless communication technology, including: Before transmitting the atomization rate adjustment data, encrypting the atomization rate adjustment data, and transmitting the data to the doctor using wireless communication technology after encryption; By applying the error correction coding mechanism and data packet confirmation mechanism, the doctor can accurately receive the atomization rate adjustment data.

6. A control system for an atomizer, characterized in that: The system comprises: A module for obtaining the patient's respiratory rate is used to obtain the patient's respiratory rate through respiratory flow sensors installed at the air inlet and air outlet of the nebulizer; A nebulizer atomization rate adjustment module is used to monitor the remaining amount of atomizer liquid in the nebulizer, fuzzy classify the respiratory frequency and the remaining amount of atomizer liquid, establish a fuzzy rule base according to different category combinations of the respiratory frequency and the remaining amount of atomizer liquid, and adjust the atomization rate of the nebulizer based on the membership of the respiratory frequency and the remaining amount of atomizer liquid in the fuzzy rule base; The remote monitoring module is used to send the data of the patient's atomization rate adjustment over time to the doctor remotely through wireless communication technology.

7. The control system of an atomizer according to claim 6, characterized in that: The module for obtaining the patient's respiratory rate comprises: Constructing a data set module, which is used for the respiratory flow sensor to collect the patient's respiratory flow data according to a preset sampling frequency, and storing the collected respiratory flow data in chronological order to form a data set; The respiratory rate calculation module is used to traverse each sampling time point in the data set and calculate the patient's respiratory rate through the respiratory rate model. Specifically, the respiratory rate model is: ； in, represents the respiratory rate, T represents the monitoring time window, and n represents the number of time sampling points within the time window T. Represents the i-th sampling time point, which is a specific moment in the time window. The value range of i is [1, n]. Indicates at time The inspiratory flow rate at Indicates at time Expiratory flow rate, Represents a logical OR operation.

8. The control system of an atomizer according to claim 6, characterized in that: The module for adjusting the atomizer atomization rate comprises: The respiratory rate division module is used to divide the patient's respiratory rate into three language variables: slow, medium and fast. The membership function adopts a triangular distribution. Specifically, the membership function of slow is: ； in, Indicates the degree to which the respiratory rate belongs to the "slow" fuzzy set, Indicates the lower limit of the slow frequency interval. represents the upper limit of the slow frequency interval, and f represents the patient's respiratory rate; The membership function in is: ； in, Indicates the degree to which the respiratory rate belongs to the "slow" fuzzy set, represents the lower starting boundary of the "middle" fuzzy set, Indicates the turning point of membership change, represents the upper boundary of the "medium" fuzzy set; The fast membership function is: ； in, represents the lower bound of the "fast" fuzzy set, represents the boundary of the "fast" fuzzy set; The fuzzy nebulizer remaining drug quantity module is used to monitor the remaining amount of the nebulized liquid and fuzzify the remaining amount of the nebulized liquid. Specifically, the membership function of the small amount of nebulized liquid remaining is: ； in, Indicates the degree to which the remaining amount of atomized liquid belongs to the "few" fuzzy set, represents the lower bound of the "few" fuzzy set, Indicates the upper boundary of the "few" fuzzy set; ； in, Indicates the degree to which the remaining amount of atomized liquid belongs to the "many" fuzzy set, represents the lower boundary of dividing "many" fuzzy sets, Indicates the upper boundary of the "many" fuzzy set; A fuzzy rule base module is established to establish a fuzzy rule base based on the remaining amount of nebulized liquid and the patient's respiratory frequency, and the nebulization rate of the nebulizer is adjusted based on the membership of the fuzzy rule base with respect to the respiratory frequency and the remaining amount of nebulized liquid.

9. The control system of an atomizer according to claim 8, characterized in that: The fuzzy rule base module is established as follows: Create a rule module, create rule 1: IF the respiratory rate is slow AND the amount of nebulizer liquid remaining is THEN the nebulizer rate The amount of adjustment is to maintain stability; Establish rule 2: IF respiratory rate is slow AND the amount of nebulizer fluid remaining is small THEN the nebulizer rate adjustment is reduced by 5%; Establish rule three: IF respiratory rate is medium AND the amount of nebulizer fluid remaining is high THEN the nebulizer rate adjustment amount is to remain stable; Establish Rule 4: IF respiratory rate is medium AND the amount of nebulizer fluid remaining is small THEN the nebulizer rate adjustment amount is increased by 5%; Establish Rule 5: IF the respiratory rate is fast AND the amount of nebulizer fluid remaining is large THEN the nebulizer rate adjustment amount is increased by 10%; Establish Rule 6: IF the respiratory rate is fast AND the amount of nebulizer fluid remaining is small THEN the nebulizer rate adjustment amount is increased by 5%; The precise adjustment module is used to calculate the fuzzy output membership distribution, and calculate the precise adjustment amount of the atomizer through the precise adjustment model based on the output membership distribution. Specifically, the precise adjustment model is: ； Where u represents the precise adjustment amount of the atomizer's atomization rate, n represents the number of rules in the fuzzy rule base, represents the membership degree of the i-th fuzzy rule in the fuzzy rule base, Represents the value of the atomization rate adjustment of the i-th fuzzy rule in the fuzzy rule base.

10. The control system of an atomizer according to claim 6, characterized in that: The remote monitoring module comprises: An encryption transmission module is used to encrypt the atomization rate adjustment data before transmitting the atomization rate adjustment data, and transmit the data to the doctor using wireless communication technology after encryption; The receiving module is used to apply the error correction coding mechanism and the data packet confirmation mechanism so that the doctor can accurately receive the atomization rate adjustment data.

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