Air supply optimization method, device, equipment and product of duct type air conditioner air supply system

Abstract

The invention provides an air supply optimization method, device, equipment and product for an air supply system of a duct type air conditioner, and the method comprises the steps that a first installation characteristic of an evaporator in an air duct and a fluid kinetic energy characteristic when airflow flows in the air duct are obtained, and the first installation characteristic at least comprises installation parameters of the evaporator in the air duct; determining a second mounting feature of the fan in the air duct based on the first mounting feature, wherein the second mounting feature at least comprises mounting parameters of the fan in the air duct; a blade characteristic parameter of the fan blade is determined based on the first mounting characteristic, the fluid kinetic energy characteristic, and the second mounting characteristic. According to the method, the corresponding relation is established between the evaporator mounting angles and the fan mounting parameters, and the appropriate fan blade structural form is selected under the condition that the evaporator mounting angles and the mounting parameters change, so that the uniformly distributed air speeds can be formed on the surfaces of evaporators with different models and different mounting angles in an air duct, and the air quality is improved. And further, uniform comfortable wind is provided.

Description

Technical Field

[0001] The present invention relates to the technical field of household electrical appliances, and particularly to a method, device, equipment and product for optimizing the air supply of an air duct machine air supply system. Background Art

[0002] At present, with the progress of technology and the continuous improvement of living standards, the demands of users for products are also constantly changing. The installation angle of the existing evaporator of the air duct machine is no longer limited to the conventional 45-degree inclined plate installation. There are more and more demands for vertical installation and flat plate installation on the market. Therefore, the traditional fan layout position is no longer fully adapted to all air duct machines, and simulation and experimental tests also show that for different evaporator angles, different blade angles result in different air volumes. Summary of the Invention

[0003] The present invention provides a method, device, equipment and product for optimizing the air supply of an air duct machine air supply system, so as to solve the defect that the existing fan layout position is no longer fully adapted to all air duct machines and it is difficult to meet the diversification of evaporator installation angles.

[0004] According to a method for optimizing the air supply of an air duct machine air supply system provided in the first aspect of the present invention, it includes:

[0005] Obtain the first installation feature of the evaporator in the air duct and the fluid kinetic energy feature when the air flow flows in the air duct, where the first installation feature at least includes the installation parameters of the evaporator in the air duct;

[0006] Based on the first installation feature, determine the second installation feature of the fan in the air duct, where the second installation feature at least includes the installation parameters of the fan in the air duct;

[0007] Based on the first installation feature, the fluid kinetic energy feature and the second installation feature, determine the blade feature parameters of the fan blades.

[0008] According to an embodiment of the present invention, the step of obtaining the first installation feature of the evaporator in the air duct specifically includes:

[0009] Obtain the installation tilt angle of the evaporator in the air duct, the number of pipe diameters of the evaporator, the pipe diameter and the thickness of the evaporator;

[0010] Generate the first installation feature according to the installation tilt angle, the number of pipe diameters of the evaporator, the pipe diameter and the thickness of the evaporator.

[0011] Specifically, this embodiment provides an implementation manner of obtaining the first installation feature of the evaporator in the air duct.

[0012] According to an embodiment of the present invention, the step of determining the second installation feature of the fan in the air duct based on the first installation feature specifically includes:

[0013] Obtain the chamber feature of the air duct unit and a preset installation deviation threshold, where the chamber feature is the parameter of the accommodation chamber for installing the evaporator and the fan in the air duct unit, and the preset installation deviation threshold is the deviation range for installing the evaporator and the fan in the accommodation chamber;

[0014] Determine the second installation feature based on the first installation feature, the chamber feature, and the preset installation deviation threshold.

[0015] Specifically, this embodiment provides an implementation manner for determining the second installation feature of the fan in the air duct based on the first installation feature.

[0016] According to an embodiment of the present invention, the step of determining the blade feature parameters of the fan blade based on the first installation feature, the fluid kinetic energy feature, and the second installation feature specifically includes:

[0017] Based on the fluid kinetic energy feature, determine the local fluid kinetic energy loss coefficient when the air flow flows in the air duct;

[0018] Based on the first installation feature and the second installation feature, when the local fluid kinetic energy loss coefficient is the smallest and the air volume at the air outlet of the air duct is the largest, determine the air outlet vector of the fan blade, and the air outlet vector at least includes the air outlet volume and the air outlet direction of the fan;

[0019] Determine the blade feature parameters according to the air outlet vector.

[0020] Specifically, this embodiment provides an implementation manner for determining the blade feature parameters of the fan blade.

[0021] According to an embodiment of the present invention, the step of determining the air outlet vector of the fan blade specifically includes:

[0022] Based on the second installation feature, obtain the outlet angle, the inlet angle of the fan blade, and the tangent direction of the rotation direction of the fan blade at the outlet angle;

[0023] Determine the air outlet vector according to the outlet angle, the inlet angle, and the tangent direction.

[0024] Specifically, this embodiment provides an implementation manner for determining the air outlet vector of the fan blade.

[0025] According to an embodiment of the present invention, the step of minimizing the local loss coefficient of fluid kinetic energy and maximizing the air volume at the air outlet of the air duct specifically includes:

[0026] Based on the number of pipe diameters of the evaporator, the diameter of the pipe diameter of the evaporator, the thickness of the evaporator, and the accommodation chamber of the air duct machine, adjust the angle of the installation inclination angle of the evaporator until the local loss coefficient of fluid kinetic energy is minimized and the air volume at the air outlet of the air duct is maximized.

[0027] Specifically, this embodiment provides an implementation manner with the minimum local loss coefficient of fluid kinetic energy and the maximum air volume at the air outlet of the air duct.

[0028] According to an embodiment of the present invention, the step of determining the local loss coefficient of fluid kinetic energy when the air flow flows in the air duct specifically includes:

[0029] Obtain the fluid flow velocity and Reynolds number of the air flow in the air duct;

[0030] Determine the local loss parameter of fluid kinetic energy based on the first installation feature;

[0031] Determine the local loss coefficient of fluid kinetic energy according to the local loss parameter of fluid kinetic energy, the Reynolds number, and the fluid flow velocity.

[0032] Specifically, this embodiment provides an implementation manner for determining the local loss coefficient of fluid kinetic energy when the air flow flows in the air duct.

[0033] According to an embodiment of the present invention, the step of obtaining the fluid flow velocity of the air flow in the air duct specifically includes:

[0034] Obtain the preset rotation speed of the fan;

[0035] Determine the fluid flow velocity of the air flow in the air duct according to the local loss parameter of fluid kinetic energy and the preset rotation speed of the fan.

[0036] Specifically, this embodiment provides an implementation manner for obtaining the fluid flow velocity of the air flow in the air duct.

[0037] According to an embodiment of the present invention, the step of obtaining the Reynolds number of the air flow in the air duct specifically includes:

[0038] Obtain the length of the air duct;

[0039] Obtain the kinematic viscosity and fluid density of the air flow in a normal temperature environment;

[0040] Determine the Reynolds number according to the length of the air duct, the kinematic viscosity, the fluid density, and the fluid flow velocity.

[0041] Specifically, this embodiment provides an implementation manner for obtaining the Reynolds number of the air flow in the air duct.

[0042] A blowing optimization device for an air duct machine blowing system according to a second aspect of the present invention includes:

[0043] A first feature acquisition module, configured to acquire a first installation feature of the evaporator in the air duct and a fluid kinetic energy feature of the air flow when flowing in the air duct, where the first installation feature at least includes installation parameters of the evaporator in the air duct;

[0044] A second feature acquisition module, configured to determine a second installation feature of the fan in the air duct based on the first installation feature, where the second installation feature at least includes installation parameters of the fan in the air duct;

[0045] A feature parameter determination module, configured to determine a blade feature parameter of the fan blade based on the first installation feature, the fluid kinetic energy feature, and the second installation feature.

[0046] An electronic device according to a third aspect of the present invention includes: a memory and a processor;

[0047] The memory and the processor communicate with each other through a bus;

[0048] The memory stores computer instructions that can run on the processor;

[0049] When the processor calls the computer instructions, it can execute the above-mentioned blowing optimization method of the air duct machine blowing system.

[0050] A computer program product according to a fourth aspect of the present invention includes a non-transitory machine-readable medium storing a computer program, and when the computer program is executed by a processor, it implements the steps of the above-mentioned blowing optimization method of the air duct machine blowing system.

[0051] One or more of the above technical solutions in the present invention have at least one of the following technical effects: The blowing optimization method, device, equipment, and product of the air duct machine blowing system provided by the present invention establish a corresponding relationship between the installation angle of the evaporator and the installation parameters of the fan, and realize selecting a suitable fan blade structure form under the conditions of different installation angles and changing installation parameters of the evaporator, so as to form a uniformly distributed wind speed on the surfaces of evaporators of different models and different installation angles in the air duct, thereby providing uniform comfortable air, reducing the loss of air volume, and eliminating fin noise. Description of the Drawings

[0052] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0053] Figure 1 It is a schematic flowchart of the air supply optimization method for the air duct machine air supply system provided by the present invention;

[0054] Figure 2 It is a schematic structural diagram of the air duct machine provided by the present invention;

[0055] Figure 3 It is one of the schematic diagrams of the layout relationship of the air duct, the evaporator and the fan in the air duct machine provided by the present invention;

[0056] Figure 4 It is another schematic diagram of the layout relationship of the air duct, the evaporator and the fan in the air duct machine provided by the present invention;

[0057] Figure 5 It is yet another schematic diagram of the layout 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 color schematic diagram of the simulated flow field of the surface wind speed of the evaporator obtained by the traditional design method of the air duct machine;

[0059] Figure 7 It is a grayscale schematic diagram of the simulated flow field of the surface wind speed of the evaporator obtained by the traditional design method of the air duct machine;

[0060] Figure 8 It is a color schematic diagram of the simulated flow field of the surface wind speed of the evaporator in the air supply optimization method of the air duct machine air supply system provided by the present invention;

[0061] Figure 9 It is a grayscale schematic diagram of the simulated flow field of the surface wind speed of the evaporator in the air supply optimization method of the air duct machine air supply system provided by the present invention;

[0062] Figure 10 It is a schematic diagram for comparing the test results of the air supply optimization of the air duct machine air supply system provided by the present invention with the traditional design method;

[0063] Figure 11 It is a schematic structural diagram of the air supply optimization device for the air duct machine air supply system provided by the present invention;

[0064] Figure 12 It is a schematic structural diagram of the electronic device provided by the present invention.

[0065] Reference numerals:

[0066] 10, air duct; 20, evaporator; 30, fan;

[0067] 40, first feature acquisition module; 50, second feature acquisition module; 60, feature parameter determination module;

[0068] 810, processor; 820, communication interface; 830, memory; 840, communication bus. Detailed implementation manners

[0069] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Apparently, the described embodiments are some but not all of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0070] The present invention will be specifically described below with reference to the accompanying drawings of the specification. The specific operation methods in the method embodiments can also be applied to the device embodiments or system embodiments. In the description of the present invention, unless otherwise specified, "at least one" includes one or more. "A plurality" means two or more. For example, at least one of A, B, and C includes: A alone, B alone, A and B existing simultaneously, A and C existing simultaneously, B and C existing simultaneously, and A, B, and C existing simultaneously. In the present invention, " / " means "or". For example, A / B can represent A or B; herein, "and / or" is merely a description of the association relationship of associated objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, and B existing alone.

[0071] The following is a specific description in conjunction with Figures 1 to 12 the present invention.

[0072] Figure 1 is a schematic flowchart of the air supply optimization method for the air supply system of the air duct machine provided by the present invention, showing the specific optimization steps of the air supply system of the air duct machine of the present invention;

[0073] Figures 2 to 5 is a schematic structural diagram of the air duct machine provided by the present invention, and a layout and structural diagram of the air duct 10, the evaporator 20, the fan 30, etc. From Figures 2 to 5 it can be seen that the evaporator 20 and the fan 30 are arranged inside the air duct machine, an air duct 10 is formed inside the air duct machine, and both ends of the air duct 10 are respectively connected to the air inlet and the air outlet.

[0074] In a possible implementation manner, the air inlet of the air duct machine provided by the present invention is at the bottom of the air duct machine.

[0075] Figure 6 It is a color schematic diagram of the simulated flow field of the surface wind speed of the evaporator 20 obtained by the traditional design method of the air duct machine. As can be seen from Figure 6 it, when the relevant parameters of the fan 30 are set or selected by the traditional method, the air flow distribution on the surface of the evaporator 20 is not uniform, and the air flow domain is relatively chaotic, which is likely to cause a relatively large noise problem of the air duct machine.

[0076] Figure 7 It is a grayscale schematic diagram of the simulated flow field of the surface wind speed of the evaporator 20 obtained by the traditional design method of the air duct machine. As can be seen from Figure 7 it, when the relevant parameters of the fan 30 are set or selected by the traditional method, the air flow distribution on the surface of the evaporator 20 is not uniform, and the air flow domain is relatively chaotic, which is likely to cause a relatively large noise problem of the air duct machine.

[0077] Figure 8 It is a color schematic diagram of the simulated flow field of the surface wind speed of the evaporator 20 in the air supply optimization method of the air duct machine air supply system provided by the present invention. As can be seen from Figure 8 it, after the air duct machine air supply system of the present invention is optimized, the air flow distribution on the surface of the evaporator 20 is more uniform, and the air flow domain is stable and orderly, realizing comfortable air supply, and at the same time reducing the noise problem of the air duct machine.

[0078] Figure 9 It is a grayscale schematic diagram of the simulated flow field of the surface wind speed of the evaporator 20 in the air supply optimization method of the air duct machine air supply system provided by the present invention. As can be seen from Figure 9 it, after the air duct machine air supply system of the present invention is optimized, the air flow distribution on the surface of the evaporator 20 is more uniform, and the air flow domain is stable and orderly, realizing comfortable air supply, and at the same time reducing the noise problem of the air duct machine.

[0079] Figure 10 It is a schematic diagram for comparing the test results of the air supply optimization of the air duct machine air supply system provided by the present invention with the traditional design method. As can be seen from Figure 10 it, for the design cases where the angle of the traditional evaporator 20 is 60°, the angle of the evaporator 20 of the present invention is 60°, and the angle of the evaporator 20 of the present invention is 45°, the air duct machine fan 30 shown in Figure 10 is designed. Through testing, the following test results are obtained. It can be seen from the test results that compared with the traditional fan 30 design, the air volume and noise obtained by the fan 30 of the present invention at the same rotational speed are superior to those of the traditional fan 30. And because the fan 30 is designed for the case where the angle of the evaporator 20 is 60° at the beginning of the design, the air volume and noise at the time when the angle of the evaporator 20 is 60° are superior to the air volume and noise at the time when the angle of the evaporator 20 is 45°.

[0080] Figure 11 It is a schematic structural diagram of an optimization device for the air supply system of an air duct machine provided by the present invention.

[0081] Figure 12 It is a schematic structural diagram of an electronic device provided by the present invention.

[0082] The present invention will be specifically described below in conjunction with specific embodiments.

[0083] In some specific embodiments of the present invention, as Figures 1 to 10 shown, the present solution provides an air supply optimization method for the air supply system of an air duct machine, including:

[0084] Obtain the first installation characteristics of the evaporator 20 in the air duct 10 and the fluid kinetic energy characteristics of the air flow when flowing in the air duct 10. The first installation characteristics at least include the installation parameters of the evaporator 20 in the air duct 10;

[0085] Based on the first installation characteristics, determine the second installation characteristics of the fan 30 in the air duct 10. The second installation characteristics at least include the installation parameters of the fan 30 in the air duct 10;

[0086] Based on the first installation characteristics, the fluid kinetic energy characteristics and the second installation characteristics, determine the blade characteristic parameters of the fan 30 blades.

[0087] It should be noted that, as Figures 6 to 9 shown, due to the selection of the installation tilt angle of the evaporator 20 and the design of the blade structure, the wind blows more evenly on the surface of the evaporator 20, and the surface wind speed of the evaporator 20 is more uniform. Therefore, it is very beneficial to reduce the noise at the air outlet. The following figure is a simulation comparison diagram of the surface wind speed distribution of the evaporator 20 of the present invention and the surface wind speed distribution of the evaporator 20 in the traditional layout. It can be seen from the figure that the surface wind speed of the evaporator 20 in the traditional layout is uneven, and there are many positions with high wind speed, which is not conducive to the noise of the machine. While the surface wind speed distribution of the evaporator 20 of the present invention is uniform, diverging normally from the center to the surroundings, which is beneficial to the noise of the machine.

[0088] In some possible implementation manners of the present invention, the step of obtaining the first installation characteristics of the evaporator 20 in the air duct 10 specifically includes:

[0089] Obtain the installation tilt angle of the evaporator 20 in the air duct 10, the number of pipe diameters of the evaporator 20, the pipe diameter, and the thickness of the evaporator 20;

[0090] Generate the first installation characteristics according to the installation tilt angle, the number of pipe diameters of the evaporator 20, the pipe diameter, and the thickness of the evaporator 20.

[0091] Specifically, this embodiment provides an implementation manner for obtaining the first installation feature of the evaporator 20 in the air duct 10. By obtaining the installation inclination angle of the evaporator 20 in the air duct 10, the number and diameter of the evaporator 20's pipe diameters, and the thickness of the evaporator 20, the first installation feature is determined, providing numerical support for subsequently determining the second installation feature and the fan blade characteristic parameters based on the first installation feature.

[0092] In some possible implementation manners of the present invention, the step of determining the second installation feature of the fan 30 in the air duct 10 based on the first installation feature specifically includes:

[0093] Obtain the chamber feature of the air duct machine and the preset installation deviation threshold. The chamber feature is the parameter of the accommodation chamber for installing the evaporator 20 and the fan 30 in the air duct machine, and the preset installation deviation threshold is the deviation range for installing the evaporator 20 and the fan 30 in the accommodation chamber;

[0094] Determine the second installation feature according to the first installation feature, the chamber feature, and the preset installation deviation threshold.

[0095] Specifically, this embodiment provides an implementation manner for determining the second installation feature of the fan 30 in the air duct 10 based on the first installation feature. According to the chamber feature and the preset installation deviation threshold in the air duct machine, the deviation range for installing the fan 30 in the accommodation chamber of the air duct machine is determined, facilitating the positioning of the fan 30 in the air duct machine, and then the fan blade characteristic parameters can be determined.

[0096] In a possible embodiment, the evaporator 20 combines the installation inclination angle and the chamber feature to determine the specific installation position in the accommodation chamber, and the preset installation deviation threshold is ±5% deviation from the installation position of the evaporator 20, that is, the fan 30 can be installed relative to the evaporator 20 within a certain deviation value. After determining the position of the fan 30 in the accommodation chamber, the specific structural parameters of the fan blades of the fan 30 can be calculated.

[0097] In some possible implementation manners of the present invention, the step of determining the fan blade characteristic parameters of the fan 30 based on the first installation feature, the fluid kinetic energy feature, and the second installation feature specifically includes:

[0098] Based on the fluid kinetic energy feature, determine the local loss coefficient of the fluid kinetic energy when the air flow flows in the air duct 10;

[0099] Based on the first installation feature and the second installation feature, when the local loss coefficient of the fluid kinetic energy is the smallest and the air volume at the air outlet of the air duct 10 is the largest, determine the air outlet vector of the fan blade, and the air outlet vector at least includes the air outlet volume and the air outlet direction of the fan 30;

[0100] Determine the fan blade characteristic parameters according to the air outlet vector.

[0101] Specifically, this embodiment provides an implementation manner for determining the blade characteristic parameters of the fan 30 blades. After determining the installation position of the fan 30, according to the fluid kinetic energy characteristics of the air flow, and in combination with the minimum local loss coefficient of the fluid kinetic energy and the maximum air volume at the air outlet of the air duct 10, the air outlet vector of the blades is determined. Furthermore, the specific structure of the blades can be determined according to the air outlet vector of the blades, which provides a guarantee for forming a uniform air flow distribution on the surface of the evaporator 20 at different installation inclination angles and forming the maximum air volume at the air outlet of the air duct 10.

[0102] In some possible implementation manners of the present invention, the steps for determining the air outlet vector of the blades specifically include:

[0103] Based on the second installation feature, obtain the outlet angle, inlet angle of the blades, and the tangent direction of the rotation direction of the blades at the outlet angle;

[0104] Determine the air outlet vector according to the outlet angle, inlet angle, and tangent direction.

[0105] Specifically, this embodiment provides an implementation manner for determining the air outlet vector of the blades. The air outlet direction of the fan 30 depends on the outlet angle, inlet angle, and the vector formed by the rotation direction of the fan 30. Combining the first installation feature of the evaporator 20 and the second installation feature of the fan 30, and determining the blade characteristic parameters of the blades according to the outlet angle, inlet angle, and tangent direction, the structure of the blades can be determined further.

[0106] Furthermore, after determining the structure of the blades, the air flow domain of the air supply of the fan 30 can be determined. Then, in combination with the first installation feature of the evaporator 20, the appropriate blade structure form of the fan 30 can be determined, so as to realize that the surfaces of the evaporators 20 with different models and different installation angles in the air duct 10 can form a uniform wind speed distribution, and further provide a uniform comfortable wind, and can reduce the loss of the air volume and eliminate the problem of fin noise.

[0107] It should be noted that the air outlet direction of the fan 30 depends on the outlet angle, inlet angle, and the vector formed by the rotation direction of the fan 30. The three form a vector diagram of the air outlet direction, and the final vector direction calculated by the three vectors is the air outlet direction of the fan 30. Among them, the magnitude of each vector is related to the rotation speed of the fan 30. The greater the rotation speed, the greater the vector magnitude; the smaller the rotation speed, the smaller the vector magnitude. However, relatively speaking, the change multiple of the rotation speed value is consistent with the change multiple of the magnitudes of the three vectors, and does not affect the direction of the final vector formed by the three vectors.

[0108] In some possible implementation manners of the present invention, the steps in the case where the local loss coefficient of the fluid kinetic energy is the smallest and the air volume at the air outlet of the air duct 10 is the largest specifically include:

[0109] Adjust the installation tilt angle of the evaporator 20 based on the number of pipe diameters of the evaporator 20, the pipe diameter of the evaporator 20, the thickness of the evaporator 20, and the accommodation chamber of the air duct machine until the local loss coefficient of fluid kinetic energy is minimized and the air volume at the air outlet of the air duct 10 is maximized.

[0110] Specifically, this embodiment provides an implementation manner with the minimum local loss coefficient of fluid kinetic energy and the maximum air volume at the air outlet of the air duct 10. By determining parameters such as the pipe diameter, the number of pipe diameters, the thickness of the evaporator 20, and the accommodation chamber of the air duct machine, and adjusting the installation tilt angle of the evaporator 20, the minimum local loss coefficient of fluid kinetic energy and the maximum air volume at the air outlet of the air duct 10 are finally determined, and thus the structural parameters of the fan blade can be determined.

[0111] In some possible implementation manners of the present invention, the steps of determining the local loss coefficient of fluid kinetic energy when the air flow in the air duct 10 are specifically as follows:

[0112] Obtain the fluid flow velocity and Reynolds number of the air flow in the air duct 10;

[0113] Determine the local loss parameter of fluid kinetic energy based on the first installation feature;

[0114] Determine the local loss coefficient of fluid kinetic energy according to the local loss parameter of fluid kinetic energy, Reynolds number, and fluid flow velocity.

[0115] Specifically, this embodiment provides an implementation manner of determining the local loss coefficient of fluid kinetic energy when the air flow in the air duct 10. Determine the local loss parameter of fluid kinetic energy according to the previously obtained first installation feature, and then determine the local loss coefficient of fluid kinetic energy according to the fluid flow velocity, Reynolds number, and local loss parameter of fluid kinetic energy in the air duct 10, so that the determination of the air outlet parameters of the fan 30 better meets the actual requirements. Determine the relevant parameters of the air outlet of the fan 30 according to the local loss of fluid kinetic energy, making the air flow velocity distribution on the surface of the evaporator 20 more uniform, reducing noise, and providing a better experience for users.

[0116] In some possible implementation manners of the present invention, the steps of obtaining the fluid flow velocity of the air flow in the air duct 10 are specifically as follows:

[0117] Obtain the preset rotation speed of the fan 30;

[0118] Determine the fluid flow velocity of the air flow in the air duct 10 according to the local loss parameter of fluid kinetic energy and the preset rotation speed of the fan 30.

[0119] Specifically, this embodiment provides an implementation manner of obtaining the fluid flow velocity of the air flow in the air duct 10. By obtaining the preset rotation speed of the fan 30, the air flow velocity in the air duct 10 is determined, which provides support for the determination of Reynolds number.

[0120] In some possible embodiments of the present invention, the step of obtaining the Reynolds number of the air flow in the air duct 10 specifically includes:

[0121] Obtain the length of the air duct 10;

[0122] Obtain the kinematic viscosity and fluid density of the air flow under normal temperature environment;

[0123] Determine the Reynolds number according to the length, kinematic viscosity, fluid density and fluid velocity of the air duct 10.

[0124] Specifically, this embodiment provides an implementation manner for obtaining the Reynolds number of the air flow in the air duct 10. By referring to the length of the air duct 10, the kinematic viscosity of the air flow at normal temperature, the fluid density, etc., the determination of the Reynolds number is made more in line with the actual operating conditions of the air flow in the air duct 10, so as to meet the requirements of ensuring that the outlet parameters of the fan 30 can satisfy the air flow distribution of the air flow leaving the outlet of the fan 30 and the uniform arrangement on the surface of the evaporator 20 under different environmental conditions, reducing the noise problem caused by the air flow flowing in the air duct 10, and improving the user experience.

[0125] Further, when calculating the Reynolds number, the following specific formula is applied:

[0126]

[0127] In the formula, Re is the Reynolds number;

[0128] v is the fluid velocity;

[0129] d is the characteristic length, which is the distance from the volute outlet to the machine outlet in the air duct machine, that is, the distance of the air outlet duct 10;

[0130] ρ is the fluid density, and generally the air density or moist air density in the natural state is taken during calculation;

[0131] μ is the dynamic viscosity coefficient, that is, the fluid viscosity, which is a constant.

[0132] Further, when determining the local loss coefficient of fluid kinetic energy, the following specific formula is applied:

[0133]

[0134] In the formula, h m is the local loss parameter of fluid kinetic energy;

[0135] B is the local loss coefficient of fluid kinetic energy;

[0136] v is the fluid velocity;

[0137] Re is the Reynolds number;

[0138] g is a constant.

[0139] It should be noted that for the air duct 10 of the air duct machine, the main reason affecting the value of h m comes from the resistance of the evaporator 20, which is related to parameters such as the pipe diameter, fin distance, and thickness of the evaporator 20. The actual value is calculated according to the parameters of the evaporator 20.

[0140] Furthermore, v is directly proportional to the rotational speed of the fan. The faster the rotational speed, the greater the flow velocity.

[0141] In addition, from the above parameters, it can be seen 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 and is mainly related to the arrangement of the evaporator 20 and the layout 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.

[0142] In an application scenario, the evaporator 20 pre-stores multiple parameters such as installation angles, the number of pipe diameters, pipe diameter, and thickness in the system. By selecting different parameters of the evaporator 20, different installation angles and other relevant parameters of the evaporator 20 can be obtained. For example, the installation inclination angle of the evaporator 20 in the air duct 10 is 60°, and a three-row φ5 pipe evaporator 20 is used, and the thickness of the evaporator 20 is 39.9 mm.

[0143] Furthermore, h m takes a value of 2.42×10 -7 , the motor speed is set at 1000 r / min, the fluid flow velocity is obtained as 1.5 m / s, the length of the air duct 10 is 0.244 m, and the kinematic viscosity of normal-temperature air is 16.6×10 -6 . Thus, the Reynolds number of the flow regime in this air duct machine can be calculated as 28442.

[0144] In some specific embodiments of the present invention, as Figure 11 shown, the present solution provides an air supply optimization device for an air duct machine air supply system, including:

[0145] A first feature acquisition module 40, configured to acquire the first installation feature of the evaporator 20 in the air duct 10 and the fluid kinetic energy feature when the air flow flows in the air duct 10. The first installation feature at least includes the installation parameters of the evaporator 20 in the air duct 10;

[0146] A second feature acquisition module 50, configured to determine the second installation feature of the fan 30 in the air duct 10 based on the first installation feature. The second installation feature at least includes the installation parameters of the fan 30 in the air duct 10;

[0147] A feature parameter determination module 60, configured to determine the blade feature parameters of the blades of the fan 30 based on the first installation feature, the fluid kinetic energy feature, and the second installation feature.

[0148] Optionally, the step of obtaining the first installation feature of the evaporator 20 in the air duct 10 specifically includes:

[0149] Obtain the installation tilt angle of the evaporator 20 in the air duct 10, the number of pipe diameters of the evaporator 20, the pipe diameter, and the thickness of the evaporator 20;

[0150] Generate the first installation feature according to the installation tilt angle, the number of pipe diameters of the evaporator 20, the pipe diameter, and the thickness of the evaporator 20.

[0151] Specifically, this embodiment provides an implementation manner for obtaining the first installation feature of the evaporator 20 in the air duct 10.

[0152] Optionally, the step of determining the second installation feature of the fan 30 in the air duct 10 based on the first installation feature specifically includes:

[0153] Obtain the chamber feature of the air duct machine and the preset installation deviation threshold. The chamber feature is the accommodation chamber parameter for installing the evaporator 20 and the fan 30 in the air duct machine, and the preset installation deviation threshold is the deviation range for installing the evaporator 20 and the fan 30 in the accommodation chamber;

[0154] Determine the second installation feature according to the first installation feature, the chamber feature, and the preset installation deviation threshold.

[0155] Specifically, this embodiment provides an implementation manner for determining the second installation feature of the fan 30 in the air duct 10 based on the first installation feature.

[0156] Optionally, the step of determining the blade feature parameters of the blades of the fan 30 based on the first installation feature, the fluid kinetic energy feature, and the second installation feature specifically includes:

[0157] Based on the fluid kinetic energy feature, determine the local loss coefficient of the fluid kinetic energy when the air flow flows in the air duct 10;

[0158] Based on the first installation feature and the second installation feature, when the local loss coefficient of the fluid kinetic energy is the smallest and the air volume at the air outlet of the air duct 10 is the largest, determine the air outlet vector of the blade. The air outlet vector at least includes the air outlet volume and the air outlet direction of the fan 30;

[0159] Determine the blade feature parameters according to the air outlet vector.

[0160] Specifically, this embodiment provides an implementation manner for determining the blade feature parameters of the blades of the fan 30.

[0161] Optionally, the step of determining the air outlet vector of the fan blade specifically includes:

[0162] Based on the second installation feature, obtain the outlet angle, inlet angle of the fan blade, and the tangent direction of the rotation direction of the fan blade at the outlet angle;

[0163] Determine the air outlet vector according to the outlet angle, inlet angle, and tangent direction.

[0164] Specifically, this embodiment provides an implementation manner for determining the air outlet vector of the fan blade.

[0165] Optionally, the step of minimizing the local loss coefficient of fluid kinetic energy and maximizing the air volume at the air outlet of the air duct 10 specifically includes:

[0166] Based on the number of pipe diameters of the evaporator 20, the pipe diameter of the evaporator 20, the thickness of the evaporator 20, and the accommodation chamber of the air duct machine, adjust the installation inclination angle of the evaporator 20 until the local loss coefficient of fluid kinetic energy is minimized and the air volume at the air outlet of the air duct 10 is maximized.

[0167] Specifically, this embodiment provides an implementation manner for minimizing the local loss coefficient of fluid kinetic energy and maximizing the air volume at the air outlet of the air duct 10.

[0168] Optionally, the step of determining the local loss coefficient of fluid kinetic energy when the air flow flows in the air duct 10 specifically includes:

[0169] Obtain the fluid flow velocity and Reynolds number of the air flow in the air duct 10;

[0170] Determine the local loss parameter of fluid kinetic energy based on the first installation feature;

[0171] Determine the local loss coefficient of fluid kinetic energy according to the local loss parameter of fluid kinetic energy, Reynolds number, and fluid flow velocity.

[0172] Specifically, this embodiment provides an implementation manner for determining the local loss coefficient of fluid kinetic energy when the air flow flows in the air duct 10.

[0173] Optionally, the step of obtaining the fluid flow velocity of the air flow in the air duct 10 specifically includes:

[0174] Obtain the preset rotation speed of the fan 30;

[0175] Determine the fluid flow velocity of the air flow in the air duct 10 according to the local loss parameter of fluid kinetic energy and the preset rotation speed of the fan 30.

[0176] Specifically, this embodiment provides an implementation manner for obtaining the fluid flow velocity of the air flow in the air duct 10.

[0177] Optionally, the step of obtaining the Reynolds number of the air flow in the air duct 10 specifically includes:

[0178] Obtain the length of the air duct 10;

[0179] Obtain the kinematic viscosity and fluid density of the air flow in the normal temperature environment;

[0180] Determine the Reynolds number according to the length, kinematic viscosity, fluid density and fluid flow velocity of the air duct 10.

[0181] Specifically, this embodiment provides an implementation manner for obtaining the Reynolds number of the air flow in the air duct 10.

[0182] Figure 10 Illustrates a schematic diagram of the physical structure of an electronic device, as Figure 10 shown, the electronic device may include: a processor 810, a communication interface 820, a memory 830, and a communication bus 840. Among them, the processor 810, the communication interface 820, and the memory 830 complete mutual communication through the communication bus 840. The processor 810 can call the logical instructions in the memory 830 to execute the air supply optimization method of the air duct machine air supply system.

[0183] It should be noted that the electronic device in this embodiment can be a server, a PC, or other devices when specifically implemented, as long as its structure includes Figure 10 the processor 810, the communication interface 820, the memory 830, and the communication bus 840 as shown. Among them, the processor 810, the communication interface 820, and the memory 830 complete mutual communication through the communication bus 840, and the processor 810 can call the logical instructions in the memory 830 to execute the above method. This embodiment does not limit the specific implementation form of the electronic device.

[0184] 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).

[0185] In some embodiments, the server can be local or remote relative to the terminal. For example, the server can access the information stored in the user terminal, the database, or any combination thereof via the network.

[0186] 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.

[0187] In some embodiments, the server may be implemented on a cloud platform; by way of example only, the cloud platform may 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.

[0188] In some embodiments, the server and the user terminal may be implemented on an electronic device having one or more components in the embodiments of the present invention.

[0189] Furthermore, the network may be used for the exchange of information and / or data.

[0190] In some embodiments, one or more components in the interaction scenario (e.g., the server, the user terminal, and the database) may send information and / or data to other components.

[0191] In some embodiments, the network may be any type of wired or wireless network, or a combination thereof. By way of example only, the network may 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 Networks (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.

[0192] In some embodiments, the network may include one or more network access points. For example, the network may 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 interaction scenario may connect to the network through the access point to exchange data and / or information.

[0193] In addition, when the logical instructions in the above-mentioned memory 830 are implemented in the form of a software functional unit and sold or used as an independent product, they may be stored in a computer-readable storage medium.

[0194] Based on such understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or a part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods of various embodiments of the present invention. The aforementioned storage medium includes: USB flash drives, mobile hard disks, read-only memories (ROMs), random access memories (RAMs), magnetic disks, optical disks, and other various media that can store program codes.

[0195] In a possible implementation manner, an embodiment of the present invention further provides a non-transitory computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, it is configured to execute the air supply optimization method of the air duct machine air supply system provided in the above-mentioned various embodiments.

[0196] In a possible implementation manner, an embodiment of the present invention also provides a computer program product. The computer program product includes a computer program stored on a non-transitory computer-readable storage medium. The computer program includes program instructions. When the program instructions are executed by a computer, the computer can execute the methods provided in the above-mentioned various method embodiments.

[0197] The device embodiments described above are merely illustrative. 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, that is, they may be located in one place or distributed to multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment. A person of ordinary skill in the art can understand and implement it without creative labor.

[0198] Through the description of the above embodiments, those skilled in the art can clearly understand that each embodiment 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 such understanding, the above technical solution, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods of various embodiments or some parts of the embodiments.

[0199] 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 foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. An air supply optimization method for an air duct machine air supply system, characterized in that, it includes: Obtain the first installation characteristics of the evaporator (20) in the air duct (10) and the fluid kinetic energy characteristics of the air flow when flowing in the air duct (10), and the first installation characteristics at least include the installation parameters of the evaporator (20) in the air duct (10); Based on the first installation characteristics, determine the second installation characteristics of the fan (30) in the air duct (10), and the second installation characteristics at least include the installation parameters of the fan (30) in the air duct (10); Based on the first installation characteristics, the fluid kinetic energy characteristics and the second installation characteristics, determine the blade characteristic parameters of the fan (30) blades.

2. The air supply optimization method for an air duct machine air supply system according to claim 1, characterized in that, The step of obtaining the first installation characteristics of the evaporator (20) in the air duct (10) specifically includes: Obtain the installation tilt angle of the evaporator (20) in the air duct (10), the number of pipe diameters of the evaporator (20), the pipe diameter, and the thickness of the evaporator (20); Generate the first installation characteristics according to the installation tilt angle, the number of pipe diameters of the evaporator (20), the pipe diameter, and the thickness of the evaporator (20).

3. The air supply optimization method for an air duct machine air supply system according to claim 2, characterized in that, The step of determining the second installation characteristics of the fan (30) in the air duct (10) based on the first installation characteristics specifically includes: Obtain the chamber characteristics of the air duct machine and a preset installation deviation threshold, where the chamber characteristics are the accommodation chamber parameters of the air duct machine for installing the evaporator (20) and the fan (30), and the preset installation deviation threshold is the deviation range of the installation of the evaporator (20) and the fan (30) in the accommodation chamber; Determine the second installation characteristics according to the first installation characteristics, the chamber characteristics, and the preset installation deviation threshold.

4. The air supply optimization method for an air duct machine air supply system according to claim 2, characterized in that, The step of determining the blade characteristic parameters of the fan (30) blades based on the first installation characteristics, the fluid kinetic energy characteristics, and the second installation characteristics specifically includes: Based on the fluid kinetic energy characteristics, determine the local fluid kinetic energy loss coefficient of the air flow when flowing in the air duct (10); Based on the first installation characteristics and the second installation characteristics, when the local fluid kinetic energy loss coefficient is the smallest and the air volume at the air outlet of the air duct (10) is the largest, determine the air outlet vector of the blade, and the air outlet vector at least includes the air outlet volume and the air outlet direction of the fan (30); Determine the blade characteristic parameters according to the air outlet vector.

5. The air supply optimization method for an air duct machine air supply system according to claim 4, characterized in that, The step of determining the air outlet vector of the blade specifically includes: Based on the second installation characteristics, obtain the outlet angle, the inlet angle of the blade, and the tangent direction of the rotation direction of the blade at the outlet angle; Determine the air outlet vector based on the outlet angle, the inlet angle, and the tangent direction.

6. The air supply optimization method for an air duct machine air supply system according to claim 4, wherein, the step of in the case where the local loss coefficient of fluid kinetic energy is the smallest and the air volume at the air outlet of the air duct (10) is the largest specifically includes: Based on the number of pipe diameters of the evaporator (20), the pipe diameter of the evaporator (20), the thickness of the evaporator (20), and the accommodation chamber of the air duct machine, adjust the installation inclination angle of the evaporator (20) until the local loss coefficient of fluid kinetic energy is the smallest and the air volume at the air outlet of the air duct (10) is the largest.

7. The air supply optimization method for an air duct machine air supply system according to any one of claims 4 to 6, wherein, the step of determining the local loss coefficient of fluid kinetic energy when the air flow flows in the air duct (10) specifically includes: Obtain the fluid flow velocity and Reynolds number of the air flow in the air duct (10); Determine the local loss parameter of fluid kinetic energy based on the first installation feature; Determine the local loss coefficient of fluid kinetic energy according to the local loss parameter of fluid kinetic energy, the Reynolds number, and the fluid flow velocity.

8. The air supply optimization method for an air duct machine air supply system according to claim 7, wherein, the step of obtaining the fluid flow velocity of the air flow in the air duct (10) specifically includes: Obtain the preset rotation speed of the fan (30); Determine the fluid flow velocity of the air flow in the air duct (10) according to the local loss parameter of fluid kinetic energy and the preset rotation speed of the fan (30).

9. The air supply optimization method for an air duct machine air supply system according to claim 7, wherein, the step of obtaining the Reynolds number of the air flow in the air duct (10) specifically includes: Obtain the length of the air duct (10); Obtain the kinematic viscosity and fluid density of the air flow in a normal temperature environment; Determine the Reynolds number according to the length of the air duct (10), the kinematic viscosity, the fluid density, and the fluid flow velocity.

10. An air supply optimization device for an air duct machine air supply system, wherein, comprises: A first feature acquisition module (40) for acquiring the first installation feature of the evaporator (20) in the air duct (10) and the fluid kinetic energy feature when the air flow flows in the air duct (10), and the first installation feature at least includes the installation parameters of the evaporator (20) in the air duct (10); A second feature acquisition module (50) for determining the second installation feature of the fan (30) in the air duct (10) based on the first installation feature, and the second installation feature at least includes the installation parameters of the fan (30) in the air duct (10); A feature parameter determination module (60) for determining the blade feature parameters of the fan blades of the fan (30) based on the first installation feature, the fluid kinetic energy feature, and the second installation feature.

11. An electronic device, wherein, comprises: A memory (830) and a processor (810); The memory (830) and the processor (810) communicate with each other via a bus; The memory (830) stores computer instructions that can run on the processor (810); When the processor (810) invokes the computer instructions, it can execute the air supply optimization method of the air duct machine air supply system according to any one of claims 1 to 9 above.

12. A computer program product, which includes a non-transitory machine-readable medium storing a computer program, characterized in that, When the computer program is executed by a processor (810), the steps of the air supply optimization method of the air duct machine air supply system according to any one of claims 1 to 9 above are implemented.

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