Optimization method, device and equipment for air supply system of duct type air conditioner, medium and product
By establishing the corresponding relationship between the installation angle of the evaporator and the fan installation parameters, the fan outlet parameters are determined, the problem of uneven wind speed distribution of the wind speed of the air pipe machine air supply system is solved, and a uniform and comfortable wind delivery effect is achieved.
Patent Information
- Application Number
- CN202310883774.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2023-07-18
- Publication Date
- 2025-01-21
- Estimated Expiration
- 2043-07-18
AI Technical Summary
In the existing air duct supply system, the arrangement position of the volute fan is difficult to adapt to the diversification of the installation angle of the evaporator, resulting in uneven distribution of wind speeds and affecting the air supply effect.
By establishing the corresponding relationship between the installation angle of the evaporator and the fan installation parameters, the characteristic value and air flow flow characteristics of the evaporator are obtained, and the air outlet parameters of the fan are determined to achieve the wind speed distributed evenly on the surface of different models and installation angles.
The wind speed of different models and different installation angles in the air duct and different installation angles is achieved, providing uniform and comfortable winds, and reducing the noise of the duct.
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Figure CN119333949A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of household appliances, and in particular to an optimization method, device, equipment, medium and product for an air supply system of a duct machine. Background Art
[0002] At present, with the advancement of science and technology and the continuous improvement of living standards, users' demand for products is also constantly changing. The installation angle of the existing duct machine evaporator is no longer limited to the conventional 45-degree inclined plate installation. There are more and more vertical installations and flat plate installations in the market. Therefore, the traditional volute fan layout position is no longer fully suitable for all duct machines. Summary of the invention
[0003] The present invention provides an optimization method, device, equipment, medium and product for an air supply system of a duct fan, so as to solve the defect that the existing volute fan arrangement position is difficult to meet the diverse installation angles of the evaporator. By establishing a corresponding relationship between the evaporator installation angle and the fan installation parameters, it is possible to select appropriate fan air outlet parameters when the evaporator installation angles and installation parameters change, thereby achieving uniformly distributed wind speeds on the surfaces of evaporators of different models and installation angles in the air duct, thereby providing uniform comfortable wind.
[0004] According to a first aspect of the present invention, a method for optimizing an air supply system of a ducted air conditioner is provided, wherein the ducted air conditioner comprises: an air duct, an evaporator and a fan; the air duct is respectively connected to an air inlet and an air outlet of the ducted air conditioner; the evaporator and the fan are respectively arranged in the air duct;
[0005] The method comprises:
[0006] Acquire a first characteristic value and a second characteristic value of the evaporator, wherein the first characteristic value at least includes installation parameters of the evaporator in the air duct, and the second characteristic value at least includes a model and / or size of the evaporator;
[0007] Acquiring fluid kinetic energy characteristics of the airflow when it flows in the air duct;
[0008] The air outlet parameters of the fan are determined according to the first characteristic value, the second characteristic value and the fluid kinetic energy characteristic.
[0009] According to an embodiment of the present invention, the step of obtaining the first characteristic value and the second characteristic value of the evaporator specifically includes:
[0010] Acquire an installation inclination angle of the evaporator in the air duct, and generate the first characteristic value according to the installation inclination angle;
[0011] The number of tube diameters, the tube diameters, and the thickness of the evaporator are obtained, and the second characteristic value is generated according to the tube diameters, the number of tube diameters, and the thickness of the evaporator.
[0012] Specifically, this embodiment provides an implementation method for obtaining the first characteristic value and the second characteristic value of the evaporator.
[0013] According to an embodiment of the present invention, the step of obtaining the fluid kinetic energy characteristics of the airflow when flowing in the air duct specifically includes:
[0014] Obtaining the fluid velocity and Reynolds number of the airflow in the air duct;
[0015] determining a local loss parameter of fluid kinetic energy according to the first eigenvalue and the second eigenvalue;
[0016] Determining a local loss coefficient of fluid kinetic energy according to the local loss parameter of fluid kinetic energy, the Reynolds number and the fluid flow rate;
[0017] The fluid kinetic energy characteristic is generated according to the fluid kinetic energy local loss coefficient.
[0018] Specifically, this embodiment provides an implementation method for obtaining the fluid kinetic energy characteristics of the airflow when it flows in the air duct.
[0019] According to an embodiment of the present invention, the step of obtaining the fluid flow velocity of the airflow in the air duct specifically includes:
[0020] Obtaining a preset speed of the fan;
[0021] The fluid flow rate of the air flow in the air duct is determined according to the fluid kinetic energy local loss parameter and the preset rotation speed of the fan.
[0022] Specifically, this embodiment provides an implementation method for obtaining the fluid flow velocity of the air flow in the air duct.
[0023] According to an embodiment of the present invention, the step of obtaining the Reynolds number further includes:
[0024] Obtaining the length of the air duct;
[0025] Obtaining the kinematic viscosity and fluid density of the airflow under normal temperature;
[0026] The Reynolds number is determined based on the length of the air duct, the kinematic viscosity, the fluid density, and the fluid flow rate.
[0027] Specifically, this embodiment provides an implementation method for obtaining the Reynolds number.
[0028] According to an embodiment of the present invention, the step of determining the air outlet parameters of the fan according to the first characteristic value, the second characteristic value and the fluid kinetic energy characteristic specifically includes:
[0029] Acquiring a length parameter of the evaporator, and generating the second characteristic value according to the length parameter;
[0030] Obtaining the flow area of the airflow in the air duct;
[0031] The size and position of the first air outlet angle of the fan are determined according to the first eigenvalue, the second eigenvalue and the fluid kinetic energy characteristic, wherein the first air outlet angle is the opening angle of the fan away from the air inlet of the air duct.
[0032] Specifically, this embodiment provides an implementation method for determining the air outlet parameters of the fan.
[0033] According to an embodiment of the present invention, the step of determining the size and position of the first air outlet angle of the fan according to the first characteristic value, the second characteristic value and the fluid kinetic energy characteristic specifically includes:
[0034] Obtaining a first surface area of the evaporator and a second surface area of the fan outlet;
[0035] generating a correction factor based on the basin area, the first surface area, and the second surface area;
[0036] The first air outlet angle is corrected according to the correction coefficient.
[0037] Specifically, this embodiment provides an implementation method for determining the size and position of the first air outlet angle of the fan.
[0038] According to an embodiment of the present invention, the step of determining the air outlet parameters of the fan according to the first characteristic value, the second characteristic value and the fluid kinetic energy characteristic further includes:
[0039] Obtaining installation position parameters of the fan in the air duct;
[0040] The size and position of the second air outlet angle of the fan are determined according to the installation position parameters, and the second air outlet angle is the opening angle of the fan on a side close to the installation position in the air duct.
[0041] Specifically, this embodiment provides an implementation method for determining the air outlet parameters of the fan.
[0042] According to an embodiment of the present invention, the step of determining the air outlet parameters of the fan according to the first characteristic value, the second characteristic value and the fluid kinetic energy characteristic further includes:
[0043] Acquiring the length of the evaporator, and generating the second characteristic value according to the length of the evaporator;
[0044] Acquiring the volute thickness of the fan, and generating the fluid kinetic energy characteristic according to the volute thickness of the fan;
[0045] The air outlet height of the fan is determined according to the first characteristic value, the second characteristic value and the fluid kinetic energy characteristic.
[0046] Specifically, this embodiment provides an implementation method for determining the air outlet parameters of the fan.
[0047] According to the second aspect of the present invention, an optimization device for an air supply system of a duct machine is provided, the duct machine comprising: an air duct, an evaporator and a fan; the air duct is respectively connected to the air inlet and the air outlet of the duct machine, and the evaporator and the fan are respectively arranged in the air duct; the device comprises: a first acquisition module, a second acquisition module and a parameter determination module; the first acquisition module is used to obtain a first characteristic value and a second characteristic value of the evaporator, the first characteristic value at least includes the installation parameters of the evaporator in the air duct, and the second characteristic value at least includes the model and / or size of the evaporator; the second acquisition module is used to obtain the fluid kinetic energy characteristics of the airflow when it flows in the air duct; the parameter determination module is used to determine the air outlet parameters of the fan according to the first characteristic value, the second characteristic value and the fluid kinetic energy characteristics.
[0048] According to a third aspect of the present invention, an electronic device is provided, comprising: a memory and a processor; the memory and the processor communicate with each other via a bus; the memory stores computer instructions that can be run on the processor; when the processor calls the computer instructions, it can execute the above-mentioned optimization method for the duct air supply system.
[0049] According to a fourth aspect of the present invention, a non-transitory computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps of the above-mentioned method for optimizing the air supply system of the duct fan are implemented.
[0050] According to a fifth aspect of the present invention, a computer program product is provided, which includes a non-transitory machine-readable medium storing a computer program, and when the computer program is executed by a processor, the steps of the above-mentioned method for optimizing the air supply system of a duct fan are implemented.
[0051] The above one or more technical solutions in the present invention have at least one of the following technical effects: the present invention provides an optimization method, device, equipment, medium and product for the air supply system of a duct fan, which establishes a corresponding relationship between the evaporator installation angle and the fan installation parameters, thereby realizing the selection of appropriate fan air outlet parameters when the evaporator installation angle and installation parameters change, thereby achieving a uniformly distributed wind speed on the surface of evaporators of different models and different installation angles in the air duct, thereby providing uniform and comfortable wind. BRIEF DESCRIPTION OF THE DRAWINGS
[0052] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.
[0053] Figure 1 It is a schematic flow chart of the optimization method of the air supply system of the duct machine provided by the present invention;
[0054] Figure 2 It is a structural schematic diagram of the air duct machine provided by the present invention;
[0055] Figure 3 This is one of the schematic diagrams of the arrangement relationship of the air duct, the evaporator and the fan in the air duct machine provided by the present invention;
[0056] Figure 4 This is the second schematic diagram of the arrangement relationship of the air duct, the evaporator and the fan in the air duct machine provided by the present invention;
[0057] Figure 5 This is the third schematic diagram of the arrangement relationship of the air duct, the evaporator and the fan in the air duct machine provided by the present invention;
[0058] Figure 6 It is a schematic diagram of the structural relationship of the fan in the duct machine provided by the present invention;
[0059] Figure 7 It is a color diagram of the simulated flow field at the fan outlet obtained by the traditional method of the duct air conditioner;
[0060] Figure 8 It is a grayscale diagram of the simulated flow field at the fan outlet obtained by the traditional method of the duct air conditioner;
[0061] Fig. 9 It is a color schematic diagram of the simulated flow field at the fan outlet in the optimization method of the duct air supply system provided by the present invention;
[0062] Fig.10It is a grayscale schematic diagram of a simulated flow field at a fan outlet in the optimization method of a duct air supply system provided by the present invention;
[0063] Fig.11 It is a color schematic diagram of the simulated flow field on the evaporator surface obtained by the traditional arrangement method of the duct unit;
[0064] Fig.12 It is a grayscale schematic diagram of the simulated flow field on the evaporator surface obtained by the traditional arrangement method of the duct machine;
[0065] Fig.13 It is a color schematic diagram of the simulated flow field on the surface of the evaporator in the optimization method of the air supply system of the duct fan provided by the present invention;
[0066] Fig.14 It is a grayscale schematic diagram of the simulated flow field on the surface of the evaporator in the optimization method of the air supply system of the duct fan provided by the present invention;
[0067] Fig.15 It is a structural schematic diagram of an optimization device for an air duct air supply system provided by the present invention;
[0068] Fig.16 It is a structural schematic diagram of the electronic device provided by the present invention.
[0069] Reference numerals:
[0070] 10. Air duct; 20. Evaporator; 30. Fan; 31. First air outlet angle; 32. Second air outlet angle;
[0071] 40. First acquisition module; 50. Second acquisition module; 60. Parameter determination module;
[0072] 810, processor; 820, communication interface; 830, memory; 840, communication bus. DETAILED DESCRIPTION
[0073] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.
[0074] The present invention is described in detail below in conjunction with the accompanying drawings of the specification. The specific operating method in the method embodiment can also be applied to the device embodiment or the system embodiment. In the description of the present invention, unless otherwise specified, "at least one" includes one or more. "Multiple" refers to two or more. For example, at least one of A, B and C includes: A exists alone, B exists alone, A and B exist at the same time, A and C exist at the same time, B and C exist at the same time, and A, B and C exist at the same time. In the present invention, " / " means or, for example, A / B can mean A or B; "and / or" in this article is only a kind of association relationship that describes the associated objects, indicating that there can be three relationships. For example, A and / or B can mean: A exists alone, A and B exist at the same time, and B exists alone.
[0075] Combine the following Figures 1 to 16 The present invention is described in detail.
[0076] Figure 1 It is a flow chart of the optimization method of the air supply system of the duct machine provided by the present invention, showing the specific optimization steps of the air supply system of the duct machine provided by the present invention;
[0077] Figures 2 to 6 The structure diagram of the duct machine provided by the present invention, as well as the arrangement and structure diagram of the air duct 10, the evaporator 20 and the fan, etc. Figures 2 to 5 As can be seen in the figure, the evaporator 20 and the fan are arranged inside the duct machine, and an air duct 10 is formed inside the duct machine, and the two ends of the air duct 10 are respectively connected to the air inlet and the air outlet.
[0078] Further, from Figure 6 It can be seen that the fan outlet forms a first air outlet angle 31 and a second air outlet angle 32, wherein the first air outlet angle 31 is the opening angle of the fan away from the air inlet side of the air duct 10, that is, the first air outlet angle 31 is the angle of the fan away from the bottom wall side of the air duct 10; the second air outlet angle 32 is the opening angle of the fan close to the air inlet side of the air duct 10, that is, the second air outlet angle 32 is the angle of the fan close to the bottom wall side of the air duct 10.
[0079] In a possible implementation manner, the air inlet of the duct air conditioner provided by the present invention is at the bottom of the duct air conditioner.
[0080] Figure 7 This is a color diagram of the simulated flow field at the fan outlet obtained by the traditional method of the duct air conditioner. Figure 7 It can be seen that when the traditional method is used to set or select the relevant parameters of the fan, the air flow distribution at the fan outlet is not uniform, and the air flow domain is relatively chaotic, which can easily cause the ducted air conditioner to have a loud noise problem.
[0081] Figure 8This is a grayscale diagram of the simulated flow field at the fan outlet obtained by the traditional method of the duct machine. Figure 8 It can be seen that when the traditional method is used to set or select the relevant parameters of the fan, the air flow distribution at the fan outlet is not uniform, and the air flow domain is relatively chaotic, which can easily cause the ducted air conditioner to have a loud noise problem.
[0082] Fig. 9 This is a color schematic diagram of the simulated flow field at the fan outlet in the optimization method of the duct air supply system provided by the present invention. Fig. 9 It can be seen that after the air supply system of the duct machine of the present invention is optimized, the air flow distribution at the fan outlet is more uniform, and the air flow domain is stable and orderly, thereby achieving comfortable air supply and reducing the noise problem of the duct machine.
[0083] Fig.10 This is a grayscale schematic diagram of the simulated flow field at the fan outlet in the optimization method of the duct air supply system provided by the present invention. Fig.10 It can be seen that after the air supply system of the duct machine of the present invention is optimized, the air flow distribution at the fan outlet is more uniform, and the air flow domain is stable and orderly, thereby achieving comfortable air supply and reducing the noise problem of the duct machine.
[0084] Fig.11 This is a color diagram of the simulated flow field on the surface of the evaporator 20 obtained by the traditional arrangement method of the duct fan. Fig.11 It can be seen from FIG. 1 that when the conventional method is used to set or select the relevant parameters of the fan, the airflow distribution formed on the surface of the evaporator 20 is Fig.11 It is not difficult to see that under the traditional method, the airflow is not evenly distributed on the surface of the evaporator 20, and the airflow flow area is relatively chaotic, which easily causes the problem of high noise of the duct machine;
[0085] Fig.12 is a grayscale schematic diagram of the simulated flow field on the surface of the evaporator 20 obtained by the traditional arrangement method of the duct machine. Fig.12 It can be seen from FIG. 1 that when the conventional method is used to set or select the relevant parameters of the fan, the airflow distribution formed on the surface of the evaporator 20 is Fig.12 It is not difficult to see that under the traditional method, the airflow is not evenly distributed on the surface of the evaporator 20, and the airflow flow area is relatively chaotic, which easily causes the problem of high noise of the duct machine;
[0086] Fig.13 This is a color schematic diagram of the simulated flow field on the surface of the evaporator 20 in the optimization method of the air duct air supply system provided by the present invention. Fig.13It can be seen that after the air supply system of the duct unit of the present invention is optimized, the air flow distribution formed on the surface of the evaporator 20 is more uniform, and the air flow domain is stable and orderly, thereby achieving comfortable air supply and reducing the noise problem of the duct unit.
[0087] Fig.14 This is a grayscale schematic diagram of the simulated flow field on the surface of the evaporator 20 in the optimization method of the duct air supply system provided by the present invention. Fig.14 It can be seen that after the air supply system of the duct unit of the present invention is optimized, the air flow distribution formed on the surface of the evaporator 20 is more uniform, and the air flow domain is stable and orderly, thereby achieving comfortable air supply and reducing the noise problem of the duct unit.
[0088] Fig.15 It is a structural schematic diagram of the optimization device of the air supply system of the duct machine provided by the present invention.
[0089] Fig.16 It is a structural schematic diagram of the electronic device provided by the present invention.
[0090] The present invention will be described in detail below in conjunction with specific implementation modes.
[0091] In some specific embodiments of the present invention, Figures 1 to 14 As shown, this solution provides an optimization method for an air supply system of a duct machine, the duct machine comprising: an air duct 10, an evaporator 20 and a fan; the air duct 10 is respectively connected to an air inlet and an air outlet of the duct machine; the evaporator 20 and the fan are respectively arranged in the air duct 10;
[0092] Methods include:
[0093] Obtaining a first characteristic value and a second characteristic value of the evaporator 20, wherein the first characteristic value at least includes installation parameters of the evaporator 20 in the air duct 10, and the second characteristic value at least includes a model and / or size of the evaporator 20;
[0094] Acquiring the fluid kinetic energy characteristics of the airflow when it flows in the air duct 10;
[0095] The air outlet parameters of the fan are determined according to the first characteristic value, the second characteristic value and the fluid kinetic energy characteristic.
[0096] According to an embodiment of the present invention, the step of obtaining the first characteristic value and the second characteristic value of the evaporator 20 specifically includes:
[0097] Obtaining an installation inclination angle of the evaporator 20 in the air duct 10, and generating a first characteristic value according to the installation inclination angle;
[0098] The number of tube diameters, the tube diameters, and the thickness of the evaporator 20 are obtained, and a second characteristic value is generated according to the tube diameters, the number of tube diameters, and the thickness of the evaporator 20 .
[0099] Specifically, this embodiment provides an implementation method for obtaining the first characteristic value and the second characteristic value of the evaporator 20. The first characteristic value is determined by obtaining the installation inclination angle of the evaporator 20 in the air duct 10, and the second characteristic value is determined according to parameters such as the number of tube diameters, tube diameters, and thickness of the evaporator 20, thereby providing numerical support for subsequently determining the air outlet parameters of the fan according to the first characteristic value and the second characteristic value.
[0100] It should be noted that the first characteristic value is an installation parameter of the evaporator 20 in the air duct 10 , and at least includes an installation inclination angle.
[0101] According to one embodiment of the present invention, the step of obtaining the fluid kinetic energy characteristics of the airflow when flowing in the air duct 10 specifically includes:
[0102] Obtaining the fluid flow velocity and Reynolds number of the airflow in the air duct 10;
[0103] Determining a local loss parameter of fluid kinetic energy according to the first eigenvalue and the second eigenvalue;
[0104] Determine the local kinetic energy loss coefficient of the fluid according to the local kinetic energy loss parameter of the fluid, the Reynolds number and the fluid flow rate;
[0105] Generates fluid kinetic energy features based on the local kinetic energy loss coefficients of the fluid.
[0106] Specifically, this embodiment provides an implementation method for obtaining the fluid kinetic energy characteristics of the airflow when it flows in the air duct 10, determining the local loss parameter of the fluid kinetic energy according to the first characteristic value and the second characteristic value obtained previously, and determining the local loss coefficient of the fluid kinetic energy according to the fluid flow rate, the Rayleigh number and the local loss parameter of the fluid kinetic energy in the air duct 10, so that the fan outlet parameters are determined to better meet the actual needs, and the fan outlet related parameters are determined according to the local related loss of the fluid kinetic energy, so that the airflow velocity distribution on the surface of the evaporator 20 is more uniform, which reduces the noise and provides a better experience for the user.
[0107] According to one embodiment of the present invention, the step of obtaining the fluid flow velocity of the airflow in the air duct 10 specifically includes:
[0108] Get the preset speed of the fan;
[0109] The fluid flow rate of the air flow in the air duct 10 is determined according to the local loss parameter of the fluid kinetic energy and the preset rotation speed of the fan.
[0110] Specifically, this embodiment provides an implementation method for obtaining the fluid flow velocity of the airflow in the air duct 10. By obtaining the preset rotation speed of the fan, the airflow velocity in the air duct 10 is determined, thereby providing support for the determination of the Rayleigh number.
[0111] According to one embodiment of the present invention, the step of obtaining the Reynolds number further includes:
[0112] Obtain the length of the air duct 10;
[0113] Obtain the kinematic viscosity and fluid density of the airflow at room temperature;
[0114] The Reynolds number is determined based on the length of the air duct 10, the kinematic viscosity, the fluid density, and the fluid flow rate.
[0115] Specifically, this embodiment provides an implementation method for obtaining the Reynolds number, referring to the length of the air duct 10, the kinematic viscosity of the airflow at room temperature, and the fluid density, etc., so that the determination of the Reynolds number is more in line with the actual operation of the airflow in the air duct 10, and thus meets the requirements of ensuring that the fan outlet parameters can meet the airflow distribution of the airflow leaving the fan outlet under different environmental conditions, as well as the uniform layout requirements on the surface of the evaporator 20, thereby reducing the noise problem caused by the airflow flowing in the air duct 10 and improving the user experience.
[0116] Furthermore, when calculating the thunder number, the following specific formula is applied:
[0117]
[0118] Where Re is the Reynolds number;
[0119] v is the fluid velocity;
[0120] d is the characteristic length, which is the distance from the volute outlet to the machine outlet in the duct machine, that is, the distance of the outlet duct 10;
[0121] ρ is the fluid density, which is usually calculated using the air density or moist air density in its natural state;
[0122] μ is the dynamic viscosity coefficient, that is, the viscosity of the fluid, which is a constant.
[0123] Furthermore, when determining the local loss coefficient of fluid kinetic energy, the following specific formula is applied:
[0124]
[0125] In the formula, h m is the local loss parameter of fluid kinetic energy;
[0126] B is the local loss coefficient of fluid kinetic energy;
[0127] v is the fluid velocity;
[0128] Re is the Reynolds number;
[0129] g is a constant.
[0130] It should be noted that for the air duct 10 of the duct machine, the influence h m The main reason for the value of comes from the resistance of the evaporator 20, which is related to parameters such as the tube diameter, fin distance, thickness, etc. of the evaporator 20. The actual value is calculated based on the parameters of the evaporator 20.
[0131] Furthermore, v is directly proportional to the speed of the fan. The faster the speed, the greater the flow rate.
[0132] In addition, it can be seen from the above parameters that the main variable factor affecting the local loss of fluid kinetic energy is the local loss coefficient of fluid kinetic energy. The smaller the value of the local loss coefficient of fluid kinetic energy, the smaller the local loss of fluid kinetic energy. The local loss coefficient of fluid kinetic energy varies with the shape of the local obstruction, which is mainly related to the arrangement of the evaporator 20 and the arrangement of the volute outlet. The smaller the value of the local loss coefficient of fluid kinetic energy, the smaller the local loss of fluid kinetic energy.
[0133] According to an embodiment of the present invention, the step of determining the air outlet parameters of the fan according to the first characteristic value, the second characteristic value and the fluid kinetic energy characteristic specifically includes:
[0134] Acquire a length parameter of the evaporator 20, and generate a second characteristic value according to the length parameter;
[0135] Obtaining the flow area of the airflow in the air duct 10;
[0136] The size and position of the first air outlet angle 31 of the fan are determined according to the first characteristic value, the second characteristic value and the fluid kinetic energy characteristic. The first air outlet angle 31 is the opening angle of the fan away from the air inlet of the air duct 10 .
[0137] Specifically, this embodiment provides an implementation method for determining the air outlet parameters of the fan, by obtaining the flow area of the air path in the air duct 10, and determining the first air outlet angle 31 of the fan at the air outlet according to the flow areas of different air ducts 10 and in combination with the obtained length parameters of the evaporator 20, so that the airflow is more evenly distributed at the air outlet of the fan.
[0138] According to an embodiment of the present invention, the step of determining the size and position of the first air outlet angle 31 of the fan according to the first characteristic value, the second characteristic value and the fluid kinetic energy characteristic specifically includes:
[0139] Obtaining a first surface area of the evaporator 20 and a second surface area of the fan outlet;
[0140] generating a correction factor based on the watershed area, the first surface area, and the second surface area;
[0141] The first air outlet angle 31 is corrected according to the correction coefficient.
[0142] Specifically, this embodiment provides an implementation method for determining the size and position of the first air outlet angle 31 of the fan, and determines a correction coefficient for correcting the first air outlet angle 31 in combination with the first surface area of the evaporator 20, the second surface area of the fan outlet, and the flow area. The first air outlet angle 31 is adjusted according to the correction coefficient, so that the adjusted first air outlet angle 31 better meets actual needs.
[0143] Furthermore, the following formula is used to calculate the first air outlet angle 31:
[0144] α=cos -1 {1-L 蒸 ×sinθ×(1-1 / n 2 ) / 4B}
[0145] Where, α is the first air outlet angle 31;
[0146] L 蒸 is the length parameter of the evaporator 20;
[0147] θ is the inclination angle of the evaporator 20, that is, the angle between the evaporator 20 and the bottom surface of the air duct machine housing;
[0148] n is the area of the passage along the air duct 10, which is generally related to the area of the evaporator 20 and the area of the fan outlet. In practical applications, because the value of n is generally large, (1-1 / n 2 ) can be approximated as 1;
[0149] B is the local loss coefficient of fluid kinetic energy.
[0150] According to an embodiment of the present invention, the step of determining the air outlet parameters of the fan according to the first characteristic value, the second characteristic value and the fluid kinetic energy characteristic further includes:
[0151] Obtaining installation position parameters of the fan in the air duct 10;
[0152] The size and position of the second air outlet angle 32 of the fan are determined according to the installation position parameters. The second air outlet angle 32 is the opening angle of the fan on the side close to the installation position in the air duct 10 .
[0153] Specifically, this embodiment provides an implementation method for determining the air outlet parameters of the fan. The size and position of the second air outlet angle 32 of the fan are determined through the installation position parameters of the fan in the air duct 10, so that the relevant parameters of the fan air outlet are further clarified, and the uniform distribution of the airflow at the fan outlet is ensured.
[0154] It should be noted that, in actual application environments, the evaporator 20 is generally arranged to be installed at the bottom of the air duct 10. Therefore, considering the maximum air volume, the second air outlet angle 32 only needs to consider the wind fall problem, that is, considering the distance from the volute air outlet to the bottom of the evaporator 20. In general, if Figure 6 In the embodiment, the distance between the second air outlet angle 32 and the evaporator 20 is set, and when the wind speed is faster, that is, the rated speed of the fan is higher and the distance between the second air outlet angle 32 and the evaporator 20 is not large, the second air outlet angle 32 can be set to 90°. Generally, in existing products, due to the high demand for air volume and the distance between the volute and the evaporator 20 is far from meeting the distance condition for wind fall, the second air outlet angle 32 of the existing fan volute can be set to 90 degrees. However, in order to consider the installation problem and the fixation problem of the volute, a buckle is generally provided at the bottom of the volute so that the second air outlet angle 32 needs to be raised a little, so it can be tilted upward at some angle, generally 10° to 15° more than 90°.
[0155] According to an embodiment of the present invention, the step of determining the air outlet parameters of the fan according to the first characteristic value, the second characteristic value and the fluid kinetic energy characteristic further includes:
[0156] Acquire the length of the evaporator 20, and generate a second characteristic value according to the length of the evaporator 20;
[0157] Obtaining the volute thickness of the fan, and generating fluid kinetic energy characteristics according to the volute thickness of the fan;
[0158] The height of the air outlet of the fan is determined according to the first characteristic value, the second characteristic value and the fluid kinetic energy characteristic.
[0159] Specifically, this embodiment provides an implementation method for determining the air outlet parameters of the fan. By determining the height of the fan air outlet, the shape and position of the fan air outlet in the air duct 10 are determined. Combined with the corresponding installation parameters of the evaporator 20, the distribution of the air flow out of the fan outlet is more uniform, and the air field distribution formed on the surface of the evaporator 20 is also more reasonable.
[0160] Furthermore, the following formula is used to calculate the height of the fan outlet:
[0161] L 出 =L 蒸 ×sin(θ×h)×2t
[0162] Where, L 出 is the air outlet height;
[0163] L 蒸 is the length parameter of the evaporator 20;
[0164] θ is the installation inclination angle of the evaporator 20;
[0165] h is a coefficient, which is set according to the specific inclination angle of the evaporator 20 and has a value range of 2 / 3-1;
[0166] t is the wall thickness of the volute itself.
[0167] It should be noted that, the larger the installation inclination angle of the evaporator 20 is, the smaller the h value is, and the smaller the installation inclination angle of the evaporator 20 is, the larger the h value is.
[0168] Furthermore, the volute thickness is the wall thickness of the volute itself, which is generally 2 mm. It will be slightly adjusted according to the size of the duct machine to improve the strength, and generally does not exceed 5 mm.
[0169] In an application scenario, the evaporator 20 pre-stores multiple installation angles, tube diameter numbers, tube diameters, thicknesses and other parameters in the system. By selecting different parameters of the evaporator 20, different installation angles and other related parameters of the evaporator 20 are obtained. For example, the installation inclination angle of the evaporator 20 in the air duct 10 is 60°, and a three-row φ5 tube evaporator 20 is used, and the thickness of the evaporator 20 is 39.9 mm.
[0170] Furthermore, h m The value is 2.42×10 -7 The motor speed is set to 1000r / min, the fluid velocity is 1.5m / s, the length of duct 10 is 0.244m, and the kinematic viscosity of air at room temperature is 16.6×10 -6 , from which it can be calculated that the Reynolds number of the flow in this duct machine is 28442.
[0171] Therefore, the relationship h m =B*v 2 / Re*2g to solve the local loss coefficient of fluid kinetic energy B, which is 6.06×10 -2 , so according to the relationship α=arccos{1-L*sinθ*(1-1 / n 2 ) / 4B}, we get our α angle value is 75.52°, round it up and set it to 75°, thus we get the first air outlet angle value of our fan.
[0172] In some specific embodiments of the present invention, Fig.15As shown, this scheme provides an optimization device for the air supply system of a duct machine, and the duct machine includes: an air duct 10, an evaporator 20 and a fan; the air duct 10 is respectively connected to the air inlet and air outlet of the duct machine, and the evaporator 20 and the fan are respectively arranged in the air duct 10.
[0173] The device includes: a first acquisition module 40, a second acquisition module 50 and a parameter determination module 60; the first acquisition module 40 is used to obtain a first characteristic value and a second characteristic value of the evaporator 20, the first characteristic value at least includes the installation parameters of the evaporator 20 in the air duct 10, and the second characteristic value at least includes the model and / or size of the evaporator 20; the second acquisition module 50 is used to obtain the fluid kinetic energy characteristics of the airflow when it flows in the air duct 10; the parameter determination module 60 is used to determine the air outlet parameters of the fan according to the first characteristic value, the second characteristic value and the fluid kinetic energy characteristics.
[0174] In some specific embodiments of the present invention, this solution provides an electronic device, including: a memory and a processor; the memory and the processor communicate with each other through a bus; the memory stores computer instructions that can be run on the processor; when the processor calls the computer instructions, it can execute the above-mentioned optimization method for the duct air supply system.
[0175] In some specific embodiments of the present invention, the present solution provides a non-transitory computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the steps of the above-mentioned method for optimizing the duct air supply system are implemented.
[0176] In some specific embodiments of the present invention, the present solution provides a computer program product, which includes a non-transitory machine-readable medium storing a computer program. When the computer program is executed by a processor, the steps of the above-mentioned duct air supply system optimization method are implemented.
[0177] Fig.16 An example of a physical structure diagram of an electronic device is shown in FIG. Fig.16 As shown, the electronic device may include: a processor 810, a communication interface 820, a memory 830 and a communication bus 840, wherein the processor 810, the communication interface 820 and the memory 830 communicate with each other through the communication bus 840. The processor 810 may call the logic instructions in the memory 830 to execute the optimization method of the duct air supply system.
[0178] It should be noted that the electronic device in this embodiment can be a server, a PC, or other devices in specific implementation, as long as its structure includes the following: Fig.16The processor 810, communication interface 820, memory 830 and communication bus 840 shown in the figure, wherein the processor 810, communication interface 820, memory 830 communicate with each other through the communication bus 840, and the processor 810 can call the logic instructions in the memory 830 to execute the above method. This embodiment does not limit the specific implementation form of the electronic device.
[0179] Among them, the server can be a single server or a server group. The server group can be centralized or distributed (for example, the server can be a distributed system). In some embodiments, the server can be local or remote relative to the terminal. For example, the server can access information stored in a user terminal, a database, or any combination thereof via a network. As another example, the server can be directly connected to at least one of the user terminal and the database to access the information and / or data stored therein. In some embodiments, the server can be implemented on a cloud platform; as an example only, the cloud platform can include a private cloud, a public cloud, a hybrid cloud, a community cloud, a distributed cloud, an inter-cloud, a multi-cloud, etc., or any combination thereof. In some embodiments, the server and the user terminal can be implemented on an electronic device having one or more components in an embodiment of the present invention.
[0180] Further, the network can be used for the exchange of information and / or data. In some embodiments, one or more components (e.g., servers, user terminals, and databases) in the interactive scene can send information and / or data to other components. In some embodiments, the network can be any type of wired or wireless network, or a combination thereof. As an example only, the network can include a wired network, a wireless network, an optical fiber network, a telecommunication network, an intranet, the Internet, a local area network (LAN), a wide area network (WAN), a wireless local area network (WLAN), a metropolitan area network (MAN), a wide area network (WAN), a public switched telephone network (PSTN), a Bluetooth network, a ZigBee network, or a near field communication (NFC) network, etc., or any combination thereof. In some embodiments, the network can include one or more network access points. For example, the network can include a wired or wireless network access point, such as a base station and / or a network switching node, and one or more components of the interactive scene can be connected to the network through the access point to exchange data and / or information.
[0181] In addition, the logic instructions in the above-mentioned memory 830 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when it is sold or used as an independent product. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods of each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program codes.
[0182] In a possible implementation, an embodiment of the present invention further provides a non-transitory computer-readable storage medium having a computer program stored thereon, which is implemented when the computer program is executed by a processor to execute the optimization method of the duct air supply system provided in the above embodiments.
[0183] In a possible implementation, an embodiment of the present invention further provides a computer program product, which includes a computer program stored on a non-transitory computer-readable storage medium, and the computer program includes program instructions. When the program instructions are executed by a computer, the computer can execute the methods provided by the above-mentioned method embodiments.
[0184] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, i.e., they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Those of ordinary skill in the art may understand and implement it without creative effort.
[0185] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods of each embodiment or some parts of the embodiment.
[0186] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims
1. A method for optimizing an air supply system of a ducted air conditioner, characterized in that: The duct air conditioner comprises: an air duct (10), an evaporator (20) and a fan (30); the air duct (10) is respectively connected to an air inlet and an air outlet of the duct air conditioner; the evaporator (20) and the fan (30) are respectively arranged in the air duct (10); The method comprises: Acquiring a first characteristic value and a second characteristic value of the evaporator (20), wherein the first characteristic value at least includes installation parameters of the evaporator (20) in the air duct (10), and the second characteristic value at least includes a model and / or size of the evaporator (20); Acquiring the fluid kinetic energy characteristics of the airflow when it flows in the air duct (10); The air outlet parameters of the fan (30) are determined according to the first characteristic value, the second characteristic value and the fluid kinetic energy characteristic.
2. The optimization method of the air supply system of the duct fan according to claim 1 is characterized in that: The step of obtaining the first characteristic value and the second characteristic value of the evaporator (20) specifically comprises: Obtaining an installation inclination angle of the evaporator (20) in the air duct (10), and generating the first characteristic value according to the installation inclination angle; The number of tube diameters, the tube diameters, and the thickness of the evaporator (20) are obtained, and the second characteristic value is generated according to the tube diameters, the number of tube diameters, and the thickness of the evaporator (20).
3. The optimization method of the air supply system of the duct fan according to claim 2 is characterized in that: The step of obtaining the fluid kinetic energy characteristics of the airflow when it flows in the air duct (10) specifically comprises: Obtaining the fluid flow velocity and Reynolds number of the air flow in the air duct (10); determining a local loss parameter of fluid kinetic energy according to the first eigenvalue and the second eigenvalue; Determining a local loss coefficient of fluid kinetic energy according to the local loss parameter of fluid kinetic energy, the Reynolds number and the fluid flow rate; The fluid kinetic energy characteristic is generated according to the fluid kinetic energy local loss coefficient.
4. The method for optimizing the air supply system of a duct fan according to claim 3, characterized in that: The step of obtaining the fluid flow rate of the airflow in the air duct (10) specifically comprises: Obtaining a preset rotation speed of the fan (30); The fluid flow rate of the air flow in the air duct (10) is determined according to the local loss parameter of the fluid kinetic energy and the preset rotation speed of the fan (30).
5. The method for optimizing the air supply system of a ducted air conditioner according to claim 4, characterized in that: The step of obtaining the Reynolds number specifically includes: Obtaining the length of the air duct (10); Obtaining the kinematic viscosity and fluid density of the airflow under normal temperature; The Reynolds number is determined based on the length of the air duct (10), the kinematic viscosity, the fluid density and the fluid flow rate.
6. The method for optimizing the air supply system of a duct fan according to any one of claims 2 to 5, characterized in that: The step of determining the air outlet parameters of the fan (30) according to the first characteristic value, the second characteristic value and the fluid kinetic energy characteristic specifically comprises: Acquiring a length parameter of the evaporator (20), and generating the second characteristic value according to the length parameter; Obtaining the flow area of the airflow in the air duct (10); The size and position of a first air outlet angle (31) of the fan (30) are determined according to the first characteristic value, the second characteristic value and the fluid kinetic energy characteristic, wherein the first air outlet angle (31) is the opening angle of the fan (30) on a side away from an air inlet of the air duct (10).
7. The method for optimizing the air supply system of a ducted air conditioner according to claim 6, characterized in that: The step of determining the size and position of the first air outlet angle (31) of the fan (30) according to the first characteristic value, the second characteristic value and the fluid kinetic energy characteristic specifically comprises: Obtaining a first surface area of the evaporator and a second surface area of the fan outlet; generating a correction factor based on the basin area, the first surface area, and the second surface area; The first air outlet angle (31) is corrected according to the correction coefficient.
8. The method for optimizing the air supply system of a duct fan according to claim 6, characterized in that: The step of determining the air outlet parameters of the fan (30) according to the first characteristic value, the second characteristic value and the fluid kinetic energy characteristic specifically includes: Obtaining installation position parameters of the fan (30) in the air duct (10); The size and position of the second air outlet angle (32) of the fan (30) are determined according to the installation position parameters, and the second air outlet angle (32) is the opening angle of the fan (30) on the side close to the installation position in the air duct (10).
9. The method for optimizing the air supply system of a ducted air conditioner according to any one of claims 2 to 5, characterized in that: The step of determining the air outlet parameters of the fan (30) according to the first characteristic value, the second characteristic value and the fluid kinetic energy characteristic specifically includes: Acquiring the length of the evaporator (20), and generating the second characteristic value according to the length of the evaporator (20); Acquiring the thickness of the volute of the fan (30), and generating the fluid kinetic energy characteristic according to the thickness of the volute of the fan (30); The air outlet height of the fan (30) is determined according to the first characteristic value, the second characteristic value and the fluid kinetic energy characteristic.
10. An optimization device for an air supply system of a ducted air conditioner, characterized in that: The air duct machine comprises: an air duct (10), an evaporator (20) and a fan (30); the air duct (10) is respectively connected to an air inlet and an air outlet of the air duct machine; the evaporator (20) and the fan (30) are respectively arranged in the air duct (10); The device comprises: a first acquisition module (40), a second acquisition module (50) and a parameter determination module (60); The first acquisition module (40) is used to acquire a first characteristic value and a second characteristic value of the evaporator (20), the first characteristic value at least including installation parameters of the evaporator (20) in the air duct (10), and the second characteristic value at least including a model and / or size of the evaporator (20); The second acquisition module (50) is used to acquire the fluid kinetic energy characteristics of the airflow when it flows in the air duct (10); The parameter determination module (60) is used to determine the air outlet parameters of the fan (30) according to the first characteristic value, the second characteristic value and the fluid kinetic energy characteristic.
11. An electronic device, characterized in that: include: Memory (830) and processor (810); The memory (830) and the processor (810) communicate with each other via a bus; The memory (830) stores computer instructions that can be executed on the processor (810); When the processor (810) calls the computer instructions, it can execute the optimization method of the duct air supply system described in any one of claims 1 to 9.
12. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by the processor (810), the steps of the method for optimizing the air supply system of a duct fan as described in any one of claims 1 to 9 are implemented.
13. A computer program product comprising a non-transitory machine-readable medium storing a computer program, characterized in that: When the computer program is executed by the processor (810), the steps of the method for optimizing the air supply system of a duct fan as described in any one of claims 1 to 9 are implemented.
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