Intelligent temperature control atomization control method and system for pediatric internal medicine

Abstract

The invention relates to the technical field of atomization control, and discloses an intelligent temperature control atomization control method and system for pediatric internal medicine, and the method comprises the steps: constructing a gas motion model under gas pressure and gas flow rate, constructing a medicine drop motion model under the particle size of a medicine drop, constructing a gas-droplet relationship among the gas pressure, the gas flow rate and the particle size of the droplet by using the droplet movement model and the gas movement model; establishing a temperature field under the system temperature, establishing a humidity field under the system humidity, and detecting a system-drop relationship among the system temperature, the system humidity and the drop particle size based on the temperature field and the humidity field; determining an atomization-medicine drop relationship between the medicine atomization system and the medicine drop particle size by using the gas-medicine drop relationship and the system-medicine drop relationship; the current air pressure and the current flow speed under the atomization-medicine drop relation are calculated, and atomization control is conducted on the medicine atomization system through the current air pressure and the current flow speed. The intelligent temperature control atomization control precision of the pediatric internal medicine can be improved.

Description

Technical Field

[0001] The present invention relates to the technical field of atomization control, and in particular to an intelligent temperature-controlled atomization control method and system for pediatric internal medicine. Background Art

[0002] Drug atomization refers to breaking up liquid drugs into tiny mist particles and spraying them out. After children inhale, the particles can enter and deposit in the respiratory tract and lungs, exerting a therapeutic effect. For some children's respiratory diseases, atomization is a very effective treatment method with obvious advantages. The size of the mist particles obtained by atomization will affect the treatment effect, and the temperature and humidity of the environment during the atomization process will also affect the effect of atomization.

[0003] At present, since the temperature and humidity of the environment during the atomization process will also affect the effect of atomization, when the temperature and humidity of the environment change, the parameters of atomization should also change accordingly. The atomization control process of the prior art is to detect the physical discomfort behavior of children during the atomization treatment process. If the child has physical discomfort behavior during the atomization treatment process, the atomization amount is adjusted. However, in this process of adjusting the physical amount, the influence of humidity and temperature in the surrounding environment on atomization is not considered, and the control of the atomization parameters is the control of pre-set parameters, such as providing several atomization parameter options in advance. When the child has physical discomfort behavior, the intensity of the atomization parameters is reduced. This method is not accurate enough because it cannot accurately control the atomization parameters. Therefore, the intelligent temperature control atomization control accuracy of pediatric internal medicine is insufficient. Summary of the invention

[0004] In order to solve the above problems, the present invention provides a method and system for intelligent temperature-controlled atomization control in pediatric internal medicine, which can improve the accuracy of intelligent temperature-controlled atomization control in pediatric internal medicine.

[0005] In a first aspect, the present invention provides a method for intelligent temperature-controlled atomization control in pediatric internal medicine, comprising:

[0006] Constructing a drug atomization system for pediatric internal medicine, wherein the drug atomization system comprises a compressed gas source and a nebulizer, collecting the gas pressure and gas flow rate of the compressed gas source, collecting the particle size of the atomized drug droplets output by the nebulizer, and collecting the system temperature and system humidity of the drug atomization system;

[0007] Constructing a gas motion model under the gas pressure and the gas flow rate, constructing a drug drop motion model under the drug drop particle size, and constructing a gas-drug drop relationship between the gas pressure, the gas flow rate and the drug drop particle size using the drug drop motion model and the gas motion model;

[0008] Establishing a temperature field under the system temperature and a humidity field under the system humidity, and detecting a system-drug droplet relationship between the system temperature, the system humidity and the drug droplet particle size based on the temperature field and the humidity field;

[0009] Determining the atomization-drug droplet relationship between the drug atomization system and the drug droplet particle size by using the gas-drug droplet relationship and the system-drug droplet relationship;

[0010] The current temperature and the current humidity under the atomization-drug droplet relationship are obtained, and based on the current temperature and the current humidity, the current air pressure and the current flow rate under the atomization-drug droplet relationship are calculated, and the current air pressure and the current flow rate are used to perform atomization control on the drug atomization system to obtain the atomization control result of the pediatric internal medicine.

[0011] In a possible implementation manner of the first aspect, constructing the gas motion model under the gas pressure and the gas flow rate includes:

[0012] Constructing a momentum conservation equation under the gas pressure and the gas flow rate;

[0013] The momentum conservation equation is used as the gas motion model.

[0014] In a possible implementation of the first aspect, constructing the drug droplet motion model at the drug droplet particle size includes:

[0015] The resistance coefficient of the atomized drug droplets is calculated using the following formula:

[0016] Based on the resistance coefficient of the atomized medicine droplets, a medicine droplet motion model under the medicine droplet particle size is constructed.

[0017] In a possible implementation of the first aspect, the constructing a gas-drug droplet relationship between the gas pressure, the gas flow rate, and the drug droplet particle size using the drug droplet motion model and the gas motion model includes:

[0018] Obtaining external volume forces in the medicine drop motion model and the gas motion model;

[0019] The medicine droplet motion model and the gas motion model are combined by using the external body force to obtain the gas-drug droplet relationship between the gas pressure, the gas flow rate and the medicine droplet particle size.

[0020] In a possible implementation manner of the first aspect, establishing the temperature field at the system temperature includes:

[0021] Obtaining Fourier's law of heat conduction and a finite difference method at the system temperature;

[0022] Based on the Fourier heat conduction law, constructing a Fourier heat conduction model at the system temperature;

[0023] Based on the finite difference method, the Fourier heat conduction model is subjected to differential processing to obtain the temperature field at the system temperature.

[0024] In a possible implementation manner of the first aspect, establishing the humidity field under the system humidity includes:

[0025] Obtaining Fick's second law and finite difference method under humidity of the system;

[0026] Based on the Fick's second law, a humidity diffusion model under the humidity of the system is constructed;

[0027] Based on the finite difference method, the humidity diffusion model is subjected to differential processing to obtain the humidity field under the system humidity.

[0028] In a possible implementation manner of the first aspect, the detecting, based on the temperature field and the humidity field, a system-drug droplet relationship between the system temperature, the system humidity, and the drug droplet particle size includes:

[0029] Taking the temperature field as the first horizontal coordinate;

[0030] Using the humidity field as a second horizontal coordinate;

[0031] Taking the particle size of the drug drop as the vertical coordinate;

[0032] In a preset three-dimensional coordinate system, a three-dimensional scatter plot between the system temperature, the system humidity and the particle size of the medicine drop is constructed using the first horizontal coordinate, the second horizontal coordinate and the vertical coordinate;

[0033] Fitting a first curve model between the first horizontal coordinate and the second horizontal coordinate using a preset least square method;

[0034] fitting a second curve model between the second horizontal coordinate and the vertical coordinate using the least squares method;

[0035] The first curve model and the second curve model are combined to obtain the system-drug drop relationship.

[0036] In a possible implementation of the first aspect, the determining the atomization-drug droplet relationship between the drug atomization system and the drug droplet particle size by using the gas-drug droplet relationship and the system-drug droplet relationship includes:

[0037] Calculating the sum of the relationship between the gas-drug droplet relationship and the system-drug droplet relationship;

[0038] One half of the sum of the relationships is taken as the atomization-drug drop relationship.

[0039] In a possible implementation of the first aspect, the calculating the current air pressure and the current flow rate under the atomization-drug drop relationship based on the current temperature and the current humidity includes:

[0040] Obtaining historical temperature and historical humidity corresponding to the current temperature and the current humidity;

[0041] Constructing a first atomization-drug drop relationship under the current temperature and the current humidity;

[0042] Constructing a second atomization-drug drop relationship under the historical temperature and the historical humidity;

[0043] Constructing an objective function between the first atomization-drug droplet relationship and the second atomization-drug droplet relationship;

[0044] The current air pressure and the current flow rate under the objective function are calculated using a preset particle swarm optimization algorithm.

[0045] In a second aspect, the present invention provides a pediatric internal medicine intelligent temperature control atomization control system, the system comprising:

[0046] A temperature acquisition module is used to construct a drug atomization system for pediatric internal medicine, wherein the drug atomization system includes a compressed gas source and a nebulizer, and collects the gas pressure and gas flow rate of the compressed gas source, the particle size of the atomized drug droplets output by the nebulizer, and the system temperature and system humidity of the drug atomization system;

[0047] a relationship building module, used to build a gas motion model under the gas pressure and the gas flow rate, build a drug drop motion model under the drug drop particle size, and use the drug drop motion model and the gas motion model to build a gas-drug drop relationship between the gas pressure, the gas flow rate and the drug drop particle size;

[0048] a relationship detection module, used to establish a temperature field under the system temperature and a humidity field under the system humidity, and detect a system-drug droplet relationship between the system temperature, the system humidity and the drug droplet particle size based on the temperature field and the humidity field;

[0049] A relationship determination module, used for determining the atomization-drug drop relationship between the drug atomization system and the drug drop particle size by using the gas-drug drop relationship and the system-drug drop relationship;

[0050] The atomization control module is used to obtain the current temperature and current humidity under the atomization-drug droplet relationship, calculate the current air pressure and current flow rate under the atomization-drug droplet relationship based on the current temperature and the current humidity, and use the current air pressure and the current flow rate to perform atomization control on the drug atomization system to obtain the atomization control result of the pediatric internal medicine.

[0051] Compared with the prior art, the technical principle and beneficial effects of this solution are:

[0052] The embodiment of the present invention constructs the gas-drug droplet relationship between the gas pressure, the gas flow rate and the drug droplet particle size by using the drug droplet motion model and the gas motion model, so as to analyze the influence of different atomization parameters on the drug droplet particle size. The smaller the drug droplet particle size, the better the atomization therapeutic effect. Furthermore, the embodiment of the present invention detects the system-drug droplet relationship between the system temperature, the system humidity and the drug droplet particle size based on the temperature field and the humidity field, so as to analyze the influence of different temperatures and humidities on the drug droplet particle size. The embodiment of the present invention determines the atomization-drug droplet relationship between the drug atomization system and the drug droplet particle size by using the gas-drug droplet relationship and the system-drug droplet relationship, so as to analyze the effect of the drug droplet particle size atomized by the atomization parameters under the influence of the ambient temperature and humidity. Furthermore, the embodiment of the present invention calculates the current air pressure and the current flow rate under the atomization-drug droplet relationship based on the current temperature and the current humidity, so as to calculate the accurate gas pressure parameters and the gas flow rate parameters by using the atomization-drug droplet relationship, thereby improving the control accuracy of intelligent temperature-controlled atomization in pediatric internal medicine. Therefore, the intelligent temperature-controlled atomization control method and system for pediatric internal medicine proposed in the embodiments of the present invention can improve the accuracy of intelligent temperature-controlled atomization control in pediatric internal medicine. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and, together with the description, serve to explain the principles of the invention.

[0054] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0055] Figure 1 A schematic diagram of a flow chart of an intelligent temperature-controlled atomization control method for pediatric internal medicine provided by an embodiment of the present invention;

[0056] Figure 2 A schematic diagram of a module of an intelligent temperature-controlled atomization control system for pediatric internal medicine provided by one embodiment of the present invention. DETAILED DESCRIPTION

[0057] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0058] The embodiment of the present invention provides a method for intelligent temperature control and atomization control in pediatric internal medicine, and the execution subject of the method for intelligent temperature control and atomization control in pediatric internal medicine includes but is not limited to at least one of the electronic devices such as a server and a terminal that can be configured to execute the method provided by the embodiment of the present invention. In other words, the method for intelligent temperature control and atomization control in pediatric internal medicine can be executed by software or hardware installed on a terminal device or a server device, and the software can be a blockchain platform. The server includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, etc. The server can be an independent server, or it can be a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, content delivery networks (Content Delivery Network, CDN), and big data and artificial intelligence platforms.

[0059] See also Figure 1 FIG. 1 is a flow chart of a method for intelligent temperature control atomization control in pediatric internal medicine provided by an embodiment of the present invention. Figure 1 The intelligent temperature-controlled atomization control methods described in the pediatric internal medicine include:

[0060] S1. Construct a drug nebulization system for pediatric internal medicine, wherein the drug nebulization system includes a compressed gas source and a nebulizer, collects the gas pressure and gas flow rate of the compressed gas source, collects the particle size of the nebulized drug droplets output by the nebulizer, and collects the system temperature and system humidity of the drug nebulization system.

[0061] In an embodiment of the present invention, the compressed gas source refers to compressed air, which is used to rush into the nebulizer to convert the liquid medicine in the nebulizer into droplet-shaped mist. The nebulizer refers to a tool that receives the compressed gas source at an input port, converts the liquid medicine into droplet-shaped mist through the compressed gas source, and outputs the droplet-shaped mist to the mouth and nose of the child at an output port.

[0062] It should be noted that the gas pressure, gas flow rate, drug droplet size, system temperature and system humidity are all parameter samples, which are used as input data to observe the change in gas data in the subsequent numerical simulation process. Among them, the system temperature and system humidity refer to the temperature and humidity of the environment in which the drug atomization system is located.

[0063] S2. Construct a gas motion model under the gas pressure and the gas flow rate, construct a drug drop motion model under the drug drop particle size, and use the drug drop motion model and the gas motion model to construct a gas-drug drop relationship between the gas pressure, the gas flow rate and the drug drop particle size.

[0064] In one embodiment of the present invention, the constructing of the gas motion model under the gas pressure and the gas flow rate includes: constructing a momentum conservation equation under the gas pressure and the gas flow rate; wherein the momentum conservation equation includes:

[0065]

[0066] in, represents the momentum conservation equation, p represents the gas pressure, ρ represents the density of the compressed gas source, and u x Indicates the gas velocity in the horizontal direction, u y Indicates the gas velocity in the vertical direction, τ xy represents the stress tensor between the x-axis and the y-axis, g x represents the gravitational body force, F x It indicates that the atomized drug droplets are subjected to external volume force from the compressed gas source, and t indicates the time variable;

[0067] The momentum conservation equation is used as the gas motion model.

[0068] In one embodiment of the present invention, the step of constructing the drug droplet motion model under the drug droplet particle size includes: calculating the resistance coefficient of the atomized drug droplet using the following formula:

[0069]

[0070] C=f(R ep )

[0071] Where C represents the resistance coefficient of the atomized drug droplets, f(R ep ) represents the function composed of the Reynolds number of the atomized drug droplets, R ep represents the Reynolds number of the atomized drug droplets, d represents the particle size of the atomized drug droplets, u represents the gas flow rate, v represents the flow rate of the atomized drug droplets, ρ represents the density of the compressed gas source, and μ represents the viscosity of the compressed gas source;

[0072] Based on the resistance coefficient of the atomized drug droplets, the drug droplet motion model under the drug droplet particle size is constructed using the following formula:

[0073]

[0074] in, represents the drug droplet motion model, F xIt represents the external volume force exerted on the atomized drug droplets from the compressed gas source, C represents the resistance coefficient of the atomized drug droplets, u represents the gas flow rate, v represents the flow rate of the atomized drug droplets, d represents the particle size of the atomized drug droplets, and ρ represents the density of the compressed gas source.

[0075] Furthermore, the embodiment of the present invention constructs the gas-drug droplet relationship between the gas pressure, the gas flow rate and the drug droplet particle size by utilizing the drug droplet motion model and the gas motion model, so as to analyze the influence of different atomization parameters on the drug droplet particle size. The smaller the drug droplet particle size, the better the atomization therapeutic effect.

[0076] In one embodiment of the present invention, the use of the medicine droplet motion model and the gas motion model to construct the gas-drug droplet relationship between the gas pressure, the gas flow rate and the medicine droplet particle size includes: obtaining the external volume force in the medicine droplet motion model and the gas motion model; using the external volume force to jointly establish the medicine droplet motion model and the gas motion model to obtain the gas-drug droplet relationship between the gas pressure, the gas flow rate and the medicine droplet particle size.

[0077] Optionally, the process of using the external body force to combine the drug droplet motion model with the gas motion model to obtain the gas-drug droplet relationship between the gas pressure, the gas flow rate and the drug droplet particle size refers to replacing the external body force in the gas motion model with the formula on the right side of the drug droplet motion model: process.

[0078] S3, establishing a temperature field at the system temperature, and establishing a humidity field at the system humidity, and detecting a system-drug droplet relationship between the system temperature, the system humidity and the drug droplet particle size based on the temperature field and the humidity field.

[0079] In one embodiment of the present invention, establishing the temperature field at the system temperature includes: obtaining the Fourier heat conduction law and the finite difference method at the system temperature; based on the Fourier heat conduction law, constructing a Fourier heat conduction model at the system temperature; based on the finite difference method, performing differential processing on the Fourier heat conduction model to obtain the temperature field at the system temperature.

[0080] Among them, the Fourier heat conduction law means that the amount of heat passing through a given cross section per unit time is proportional to the temperature change rate and the cross-sectional area in the direction perpendicular to the cross section, and the direction of heat transfer is opposite to the direction of temperature increase. The Fourier heat conduction model refers to the Fourier heat conduction differential equation, and the finite difference method refers to the numerical solution of unknown values ​​(unknown values ​​refer to temperature values ​​or humidity values) in the Fourier heat conduction differential equation.

[0081] In one embodiment of the present invention, the establishment of the humidity field under the system humidity includes: obtaining Fick's second law and the finite difference method under the system humidity; based on Fick's second law, constructing a humidity diffusion model under the system humidity; based on the finite difference method, performing differential processing on the humidity diffusion model to obtain the humidity field under the system humidity.

[0082] Among them, Fick's second law is derived based on the first law combined with the mass conservation equation. It predicts the change of concentration over time due to diffusion and is a parabolic partial differential equation.

[0083] Furthermore, the embodiment of the present invention detects the system-drug droplet relationship between the system temperature, the system humidity and the drug droplet particle size based on the temperature field and the humidity field, so as to analyze the influence of different temperatures and humidities on the drug droplet particle size.

[0084] In one embodiment of the present invention, the system-drug droplet relationship between the system temperature, the system humidity and the drug droplet particle size is detected based on the temperature field and the humidity field, including: taking the temperature field as the first horizontal coordinate; taking the humidity field as the second horizontal coordinate; taking the drug droplet particle size as the vertical coordinate; in a preset three-dimensional coordinate system, using the first horizontal coordinate, the second horizontal coordinate and the vertical coordinate to construct a three-dimensional scatter plot between the system temperature, the system humidity and the drug droplet particle size; using a preset least squares method to fit a first curve model between the first horizontal coordinate and the second horizontal coordinate; using the least squares method to fit a second curve model between the second horizontal coordinate and the vertical coordinate; combining the first curve model and the second curve model to obtain the system-drug droplet relationship; wherein the first curve model includes:

[0085] Y=a0+a1X+a2X 2 +…+a n X k

[0086] Among them, Y represents the second horizontal coordinate, X represents the first horizontal coordinate, a0, a1, a2, a n represents a constant parameter, k represents the kth power, and n represents the number of constant parameters;

[0087] The second curve model includes:

[0088] Z=b0+b1Y+b2Y 2 +…+b n Y k

[0089] Among them, Z represents the vertical coordinate, Y represents the second horizontal coordinate, b0, b1, b2, b nrepresents a constant parameter, k represents the kth power;

[0090] The system-drug drop relationship includes:

[0091] Z=a′0+a′1X+a′2X 2 +…+a′ n X k +b′0+b′1 Y+b′2 Y 2 +…+b′ n Y k

[0092] Where X represents the first horizontal coordinate, Y represents the second horizontal coordinate, Z represents the vertical coordinate, a′0, a′1, a′2, a′ n , b′0, b′1, b′2, b′ n represents a constant parameter, k represents the kth power, and n represents the number of constant parameters.

[0093] The first horizontal coordinate refers to the x-axis coordinate, the second horizontal coordinate refers to the y-axis coordinate, and the vertical coordinate refers to the z-axis coordinate.

[0094] S4. Determine the atomization-drug droplet relationship between the drug atomization system and the drug droplet particle size by using the gas-drug droplet relationship and the system-drug droplet relationship.

[0095] The embodiment of the present invention determines the atomization-drug droplet relationship between the drug atomization system and the drug droplet particle size by utilizing the gas-drug droplet relationship and the system-drug droplet relationship, so as to analyze the effect of the drug droplet particle size obtained by atomization of the atomization parameters under the influence of ambient temperature and humidity.

[0096] In one embodiment of the present invention, the use of the gas-drug droplet relationship and the system-drug droplet relationship to determine the atomization-drug droplet relationship between the drug atomization system and the drug droplet particle size includes: calculating the relationship sum between the gas-drug droplet relationship and the system-drug droplet relationship; and taking half of the relationship sum as the atomization-drug droplet relationship.

[0097] Optionally, the process of calculating the sum of the relationship between the gas-drug drop relationship and the system-drug drop relationship refers to adding the value on the left side of the equation in the gas-drug drop relationship with the value on the left side of the equation in the system-drug drop relationship, and adding the value on the right side of the equation in the gas-drug drop relationship with the value on the right side of the equation in the system-drug drop relationship. After the addition, the left side of the equation and the right side of the equation are multiplied by one half respectively.

[0098] S5. Obtain the current temperature and current humidity under the atomization-drug droplet relationship, calculate the current air pressure and current flow rate under the atomization-drug droplet relationship based on the current temperature and the current humidity, and use the current air pressure and the current flow rate to perform atomization control on the drug atomization system to obtain the atomization control result of the pediatric internal medicine.

[0099] It should be noted that when the historical temperature and humidity at the previous moment in the atomization environment become the current temperature and humidity at the current moment, the historical air pressure and flow rate at the previous moment also need to be converted into the current air pressure and flow rate at the current moment.

[0100] Furthermore, the embodiment of the present invention calculates the current air pressure and the current flow rate under the atomization-drug droplet relationship based on the current temperature and the current humidity, so as to utilize the atomization-drug droplet relationship to calculate the precise gas pressure parameters and gas flow rate parameters, thereby improving the precision of intelligent temperature-controlled atomization control in pediatric internal medicine.

[0101] In one embodiment of the present invention, the current air pressure and the current flow rate under the atomization-drug droplet relationship are calculated based on the current temperature and the current humidity, including: obtaining the historical temperature and the historical humidity corresponding to the current temperature and the current humidity; and constructing the first atomization-drug droplet relationship under the current temperature and the current humidity using the following formula:

[0102]

[0103] in, represents the first atomization-drug drop relationship, T represents the current moment, and p T Indicates the gas pressure at the current moment, u T represents the gas flow rate at the current moment, φ(p T ,u T ) represents the gas-drug drop relationship at the current moment, X T Indicates the current temperature at the current moment, Y T represents the current humidity at the current moment, ω(X T ,Y T ) represents the system-drug drop relationship at the current moment, d T Indicates the particle size of the medicine drop at the current moment;

[0104] The second atomization-drug droplet relationship under the historical temperature and the historical humidity is constructed using the following formula:

[0105]

[0106] in, represents the second atomization-drug drop relationship, T-1 represents the historical moment, and p T-1represents the gas pressure at the historical moment, u T-1 represents the gas flow rate at the historical moment, φ(p T-1 ,u T-1 ) represents the gas-drug drop relationship at the historical moment, X T-1 represents the historical temperature at the historical moment, Y T-1 represents the historical humidity at the historical moment, ω(X T-1 ,Y T-1 ) represents the system-drug drop relationship at the historical moment, d T-1 Indicates the particle size of the drug drop at the historical moment;

[0107] The objective function between the first atomization-drug droplet relationship and the second atomization-drug droplet relationship is constructed using the following formula:

[0108] min(d T -d T-1 )

[0109]

[0110] in, represents the objective function, represents the first atomization-drug drop relationship, T represents the current moment, and p T Indicates the gas pressure at the current moment, u T represents the gas flow rate at the current moment, φ(p T ,u T ) represents the gas-drug drop relationship at the current moment, X T Indicates the current temperature at the current moment, Y T represents the current humidity at the current moment, ω(X T ,Y T ) represents the system-drug drop relationship at the current moment, d T Indicates the particle size of the medicine drop at the current moment, represents the second atomization-drug drop relationship, T-1 represents the historical moment, and p T-1 represents the gas pressure at the historical moment, u T-1 represents the gas flow rate at the historical moment, φ(p T-1 ,u T-1 ) represents the gas-drug drop relationship at the historical moment, X T-1 represents the historical temperature at the historical moment, Y T-1 represents the historical humidity at the historical moment, ω(X T-1 ,Y T-1 ) represents the system-drug drop relationship at the historical moment, d T-1 Indicates the particle size of the drug drop at the historical moment;

[0111] The current air pressure and the current flow rate under the objective function are calculated using a preset particle swarm optimization algorithm.

[0112] It should be noted that before using the preset particle swarm optimization algorithm to calculate the current air pressure and current flow rate under the objective function, p T 、u T is an unknown parameter, and the other parameters are known parameters. The particle swarm optimization algorithm is an algorithm for finding the optimal solution. It can find the optimal current air pressure and the optimal current flow rate that meet the objective function, and the objective function value under the optimal current air pressure and the optimal current flow rate is minimized.

[0113] It can be seen that the embodiment of the present invention constructs the gas-drug droplet relationship between the gas pressure, the gas flow rate and the drug droplet particle size by using the drug droplet motion model and the gas motion model, so as to analyze the influence of different atomization parameters on the drug droplet particle size, and the smaller the drug droplet particle size, the better the atomization effect. Further, the embodiment of the present invention detects the system-drug droplet relationship between the system temperature, the system humidity and the drug droplet particle size based on the temperature field and the humidity field, so as to analyze the influence of different temperature and humidity on the drug droplet particle size. The embodiment of the present invention determines the atomization-drug droplet relationship between the drug atomization system and the drug droplet particle size by using the gas-drug droplet relationship and the system-drug droplet relationship, so as to analyze the effect of the drug droplet particle size obtained by atomization of the atomization parameters under the influence of the ambient temperature and humidity. Further, the embodiment of the present invention calculates the current air pressure and the current flow rate under the atomization-drug droplet relationship based on the current temperature and the current humidity, so as to calculate the accurate gas pressure parameters and the gas flow rate parameters by using the atomization-drug droplet relationship, thereby improving the control accuracy of intelligent temperature control atomization in pediatric internal medicine. Therefore, the intelligent temperature-controlled atomization control method and system for pediatric internal medicine proposed in the embodiment of the present invention can reduce the complexity of the linear increase in traffic, improve the processing capability of future time period requests, and ensure load balancing.

[0114] like Figure 2 The figure shows a functional module diagram of an intelligent temperature-controlled atomization control system for pediatric internal medicine according to the present invention.

[0115] The pediatric internal medicine intelligent temperature control atomization control system 200 of the present invention can be installed in an electronic device. According to the functions to be implemented, the pediatric internal medicine intelligent temperature control atomization control system can include a temperature acquisition module 201, a relationship construction module 202, a relationship detection module 203, a relationship determination module 204 and an atomization control module 205. The module of the present invention can also be called a unit, which refers to a series of computer program segments that can be executed by an electronic device processor and can complete fixed functions, which are stored in the memory of the electronic device.

[0116] In the embodiment of the present invention, the functions of each module / unit are as follows:

[0117] The temperature acquisition module 201 is used to construct a drug atomization system for pediatric internal medicine, wherein the drug atomization system includes a compressed gas source and a nebulizer, and collects the gas pressure and gas flow rate of the compressed gas source, the particle size of the atomized drug droplets output by the nebulizer, and the system temperature and system humidity of the drug atomization system;

[0118] The relationship building module 202 is used to build a gas motion model under the gas pressure and the gas flow rate, build a drug drop motion model under the drug drop particle size, and use the drug drop motion model and the gas motion model to build a gas-drug drop relationship between the gas pressure, the gas flow rate and the drug drop particle size;

[0119] The relationship detection module 203 is used to establish a temperature field under the system temperature and a humidity field under the system humidity, and detect the system-drug droplet relationship between the system temperature, the system humidity and the drug droplet particle size based on the temperature field and the humidity field;

[0120] The relationship determination module 204 is used to determine the atomization-drug drop relationship between the drug atomization system and the drug drop particle size by using the gas-drug drop relationship and the system-drug drop relationship;

[0121] The nebulization control module 205 is used to obtain the current temperature and current humidity under the nebulization-drug droplet relationship, calculate the current air pressure and current flow rate under the nebulization-drug droplet relationship based on the current temperature and the current humidity, and use the current air pressure and the current flow rate to perform nebulization control on the drug nebulization system to obtain the nebulization control result of the pediatric internal medicine.

[0122] In detail, the modules in the pediatric internal medicine intelligent temperature control atomization control system 200 in the embodiment of the present invention are used in the same manner as described above. Figure 1 The same technical means are used as the pediatric internal medicine intelligent temperature control atomization control method described in, and can produce the same technical effects, so I will not go into details here.

[0123] In addition, each functional module in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of hardware plus software functional modules.

[0124] The above description is only a specific embodiment of the present invention, so that those skilled in the art can understand or implement the present invention. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but should conform to the widest scope consistent with the principles and novel features invented herein.

Claims

1. An intelligent temperature-controlled atomization control method for pediatric internal medicine, characterized in that: The method comprises: Constructing a drug atomization system for pediatric internal medicine, wherein the drug atomization system comprises a compressed gas source and a nebulizer, collecting the gas pressure and gas flow rate of the compressed gas source, collecting the particle size of the atomized drug droplets output by the nebulizer, and collecting the system temperature and system humidity of the drug atomization system; Constructing a gas motion model under the gas pressure and the gas flow rate, constructing a drug drop motion model under the drug drop particle size, and constructing a gas-drug drop relationship between the gas pressure, the gas flow rate and the drug drop particle size using the drug drop motion model and the gas motion model; Establishing a temperature field under the system temperature and a humidity field under the system humidity, and detecting a system-drug droplet relationship between the system temperature, the system humidity and the drug droplet particle size based on the temperature field and the humidity field; Determining the atomization-drug droplet relationship between the drug atomization system and the drug droplet particle size by using the gas-drug droplet relationship and the system-drug droplet relationship; The current temperature and the current humidity under the atomization-drug droplet relationship are obtained, and based on the current temperature and the current humidity, the current air pressure and the current flow rate under the atomization-drug droplet relationship are calculated, and the current air pressure and the current flow rate are used to perform atomization control on the drug atomization system to obtain the atomization control result of the pediatric internal medicine.

2. The method according to claim 1, characterized in that The constructing of the gas motion model under the gas pressure and the gas flow rate includes: Constructing a momentum conservation equation under the gas pressure and the gas flow rate; The momentum conservation equation is used as the gas motion model.

3. The method according to claim 1, characterized in that The method of using the drug droplet motion model and the gas motion model to construct a gas-drug droplet relationship between the gas pressure, the gas flow rate and the drug droplet particle size includes: Obtaining external volume forces in the medicine drop motion model and the gas motion model; The medicine droplet motion model and the gas motion model are combined by using the external body force to obtain the gas-drug droplet relationship between the gas pressure, the gas flow rate and the medicine droplet particle size.

4. The method according to claim 1, characterized in that The establishing of the temperature field at the system temperature comprises: Obtaining Fourier's law of heat conduction and a finite difference method at the system temperature; Based on the Fourier heat conduction law, constructing a Fourier heat conduction model at the system temperature; Based on the finite difference method, the Fourier heat conduction model is subjected to differential processing to obtain the temperature field at the system temperature.

5. The method according to claim 1, characterized in that The step of establishing the humidity field under the system humidity comprises: Obtaining Fick's second law and finite difference method under humidity of the system; Based on the Fick's second law, a humidity diffusion model under the humidity of the system is constructed; Based on the finite difference method, the humidity diffusion model is subjected to differential processing to obtain the humidity field under the system humidity.

6. The method according to claim 1, characterized in that The detecting, based on the temperature field and the humidity field, the system-drug droplet relationship between the system temperature, the system humidity and the drug droplet particle size comprises: Taking the temperature field as the first horizontal coordinate; Using the humidity field as a second horizontal coordinate; Taking the particle size of the drug drop as the vertical coordinate; In a preset three-dimensional coordinate system, a three-dimensional scatter plot between the system temperature, the system humidity and the particle size of the medicine drop is constructed using the first horizontal coordinate, the second horizontal coordinate and the vertical coordinate; Fitting a first curve model between the first horizontal coordinate and the second horizontal coordinate using a preset least square method; fitting a second curve model between the second horizontal coordinate and the vertical coordinate using the least squares method; The first curve model and the second curve model are combined to obtain the system-drug drop relationship.

7. The method according to claim 1, characterized in that The method of determining the atomization-drug droplet relationship between the drug atomization system and the drug droplet particle size by using the gas-drug droplet relationship and the system-drug droplet relationship includes: Calculating the sum of the relationship between the gas-drug droplet relationship and the system-drug droplet relationship; One half of the sum of the relationships is taken as the atomization-drug drop relationship.

8. The method according to claim 1, characterized in that The calculating the current air pressure and the current flow rate under the atomization-drug drop relationship based on the current temperature and the current humidity includes: Obtaining historical temperature and historical humidity corresponding to the current temperature and the current humidity; Constructing a first atomization-drug drop relationship under the current temperature and the current humidity; Constructing a second atomization-drug drop relationship under the historical temperature and the historical humidity; Constructing an objective function between the first atomization-drug droplet relationship and the second atomization-drug droplet relationship; The current air pressure and the current flow rate under the objective function are calculated using a preset particle swarm optimization algorithm.

9. An intelligent temperature-controlled atomization control system for pediatric internal medicine, the system implementing the method according to claim 1, characterized in that: The system comprises: A temperature acquisition module is used to construct a drug atomization system for pediatric internal medicine, wherein the drug atomization system includes a compressed gas source and a nebulizer, and collects the gas pressure and gas flow rate of the compressed gas source, the particle size of the atomized drug droplets output by the nebulizer, and the system temperature and system humidity of the drug atomization system; a relationship building module, used to build a gas motion model under the gas pressure and the gas flow rate, build a drug drop motion model under the drug drop particle size, and use the drug drop motion model and the gas motion model to build a gas-drug drop relationship between the gas pressure, the gas flow rate and the drug drop particle size; a relationship detection module, used to establish a temperature field under the system temperature and a humidity field under the system humidity, and detect a system-drug droplet relationship between the system temperature, the system humidity and the drug droplet particle size based on the temperature field and the humidity field; A relationship determination module, used for determining the atomization-drug drop relationship between the drug atomization system and the drug drop particle size by using the gas-drug drop relationship and the system-drug drop relationship; The atomization control module is used to obtain the current temperature and current humidity under the atomization-drug droplet relationship, calculate the current air pressure and current flow rate under the atomization-drug droplet relationship based on the current temperature and the current humidity, and use the current air pressure and the current flow rate to perform atomization control on the drug atomization system to obtain the atomization control result of the pediatric internal medicine.

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