Optimization method, device, equipment, medium and product of ducted air supply system

Abstract

The application provides an optimization method, device, equipment, medium and product of an air duct machine air supply system, and the method comprises the following steps: acquiring a first characteristic value and a second characteristic value of the evaporator, wherein the first characteristic value at least comprises an installation parameter of the evaporator in the air duct, and the second characteristic value at least comprises a model and / or size of the evaporator; acquiring a fluid kinetic energy characteristic of air flow when the air flow flows in the air duct; and determining an air outlet parameter of the fan according to the first characteristic value, the second characteristic value and the fluid kinetic energy characteristic. By establishing a corresponding relationship between the installation angle of the evaporator and the installation parameter of the fan, the application realizes the selection of a suitable air outlet parameter of the fan under the condition that the installation angle and the installation parameter of the evaporator change, so that the surface of the evaporator of different models and different installation angles in the air duct can form a uniformly distributed air speed, and then uniform and comfortable air is provided.

Description

Technical Field

[0001] This invention relates to the field of household appliance technology, and in particular to an optimization method, apparatus, equipment, medium, and product for a ducted air supply system. Background Technology

[0002] Currently, with the advancement of technology and the continuous improvement of living standards, users' demands for products are constantly changing. The installation angle of existing ducted air conditioner evaporators is no longer limited to the conventional 45-degree angled plate installation. Vertical installation and flat plate installation are increasingly in demand in the market. Therefore, the traditional volute fan layout is no longer fully compatible with all ducted air conditioners. Summary of the Invention

[0003] This invention provides an optimization method, device, equipment, medium, and product for a ducted air supply system. It addresses the shortcomings of existing volute fan arrangements that cannot accommodate diverse evaporator installation angles. By establishing a correspondence between the evaporator installation angle and fan installation parameters, it enables the selection of appropriate fan outlet parameters under varying evaporator installation angles and parameters. This ensures that a uniform wind speed is generated on the surface of evaporators of different models and installation angles within the duct, thereby providing a uniform and comfortable airflow.

[0004] According to a first aspect of the present invention, an optimization method for a ducted air supply system is provided, wherein the ducted air supply system includes: an air duct, an evaporator, and a fan; the air duct is respectively connected to the air inlet and the air outlet of the ducted air supply system; the evaporator and the fan are respectively disposed within the air duct.

[0005] The method includes:

[0006] Obtain a first characteristic value and a second characteristic value of the evaporator, wherein the first characteristic value includes at least the installation parameters of the evaporator in the air duct, and the second characteristic value includes at least the model and / or size of the evaporator;

[0007] Acquire the fluid kinetic energy characteristics of the airflow as it flows within the duct;

[0008] The air outlet parameters of the fan are determined based on the first feature value, the second feature value, and the fluid kinetic energy feature.

[0009] According to one embodiment of the present invention, the step of obtaining the first characteristic value and the second characteristic value of the evaporator specifically includes:

[0010] The installation tilt angle of the evaporator in the air duct is obtained, and the first feature value is generated based on the installation tilt angle;

[0011] The number of tubes, the tube diameter, and the thickness of the evaporator are obtained, and the second feature value is generated based on the tube diameter, the number of tubes, and the thickness of the evaporator.

[0012] Specifically, this embodiment provides an implementation method for obtaining the first and second characteristic values ​​of the evaporator.

[0013] According to one embodiment of the present invention, the step of obtaining the fluid kinetic energy characteristics of the airflow flowing within the duct specifically includes:

[0014] Obtain the fluid velocity and Reynolds number of the airflow within the air duct;

[0015] The local loss parameters of fluid kinetic energy are determined based on the first characteristic value and the second characteristic value;

[0016] The local fluid kinetic energy loss coefficient is determined based on the fluid kinetic energy local loss parameter, the Reynolds number, and the fluid velocity.

[0017] The fluid kinetic energy characteristics are generated based on the fluid kinetic energy local loss coefficient.

[0018] Specifically, this embodiment provides an implementation method for obtaining the fluid kinetic energy characteristics of airflow flowing within the air duct.

[0019] According to one embodiment of the present invention, the step of obtaining the fluid velocity of the airflow within the air duct specifically includes:

[0020] Obtain the preset speed of the fan;

[0021] The fluid velocity in the air duct is determined based on the local loss parameters of fluid kinetic energy and the preset rotational speed of the fan.

[0022] Specifically, this embodiment provides an implementation method for obtaining the fluid velocity of airflow within the air duct.

[0023] According to one embodiment of the present invention, the step of obtaining the Reynolds number further includes:

[0024] Obtain the length of the air duct;

[0025] Obtain the kinematic viscosity and fluid density of the airflow at room temperature;

[0026] The Reynolds number is determined based on the length of the duct, the kinematic viscosity, the fluid density, and the fluid velocity.

[0027] Specifically, this embodiment provides an implementation method for obtaining the Reynolds number.

[0028] According to one embodiment of the present invention, the step of determining the air outlet parameters of the fan based on the first feature value, the second feature value, and the fluid kinetic energy characteristic specifically includes:

[0029] Obtain the length parameter of the evaporator, and generate the second feature value based on the length parameter;

[0030] Obtain the flow area of ​​the airflow within the duct;

[0031] The size and position of the first air outlet angle of the fan are determined based on the first feature value, the second feature value and the fluid kinetic energy feature, wherein the first air outlet angle is the opening angle of the fan on the side 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 one embodiment of the present invention, the step of determining the magnitude and position of the first air outlet angle of the fan based on the first feature value, the second feature value, and the fluid kinetic energy characteristic specifically includes:

[0034] Obtain the first surface area of ​​the evaporator and the second surface area of ​​the fan outlet;

[0035] A correction coefficient is generated based on the watershed area, the first surface area, and the second surface area;

[0036] The first air outlet angle is corrected according to the correction factor.

[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 one embodiment of the present invention, the step of determining the air outlet parameters of the fan based on the first feature value, the second feature value, and the fluid kinetic energy characteristic further includes:

[0039] Obtain the installation position parameters of the fan within 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. The second air outlet angle is the opening angle of the fan on the side closer 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 one embodiment of the present invention, the step of determining the air outlet parameters of the fan based on the first feature value, the second feature value, and the fluid kinetic energy characteristic further includes:

[0043] Obtain the length of the evaporator, and generate the second feature value based on the length of the evaporator;

[0044] The thickness of the fan casing is obtained, and the fluid kinetic energy characteristics are generated based on the thickness of the fan casing.

[0045] The air outlet height of the fan is determined based on the first feature value, the second feature value, and the fluid kinetic energy feature.

[0046] Specifically, this embodiment provides an implementation method for determining the air outlet parameters of the fan.

[0047] According to a second aspect of the present invention, an optimization device for a ducted air supply system is provided, wherein the ducted air supply system includes: an air duct, an evaporator, and a fan; the air duct is respectively connected to the air inlet and air outlet of the ducted air supply system, and the evaporator and the fan are respectively disposed within the air duct; the device includes: a first acquisition module, a second acquisition module, and a parameter determination module; the first acquisition module is used to acquire a first characteristic value and a second characteristic value of the evaporator, wherein the first characteristic value includes at least the installation parameters of the evaporator within the air duct, and the second characteristic value includes at least the model and / or size of the evaporator; the second acquisition module is used to acquire the fluid kinetic energy characteristics of the airflow flowing within the air duct; the parameter determination module is used to determine the air outlet parameters of the fan based on the first characteristic value, the second characteristic value, and the fluid kinetic energy characteristics.

[0048] An electronic device according to a third aspect of the present invention includes: a memory and a processor; the memory and the processor communicate with each other via a bus; the memory stores computer instructions that can run on the processor; when the processor invokes the computer instructions, it can execute the above-described 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 thereon storing a computer program, which, when executed by a processor, implements the steps of the above-described optimization method for the duct air supply system.

[0050] According to a fifth aspect of the present invention, a computer program product includes a non-transitory machine-readable medium storing a computer program, which, when executed by a processor, implements the steps of the above-described optimization method for the duct air supply system.

[0051] The above-mentioned one or more technical solutions of the present invention have at least one of the following technical effects: The optimization method, device, equipment, medium and product of the air supply system of the duct air conditioner provided by the present invention establishes a correspondence between the evaporator installation angle and the fan installation parameters, so as to select appropriate fan outlet parameters under different evaporator installation angles and installation parameters, thereby achieving a uniform wind speed on the surface of evaporators of different models and different installation angles in the air duct, and thus providing uniform and comfortable air. Attached Figure Description

[0052] To more clearly illustrate the technical solutions in this invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0053] Figure 1 This is a flowchart illustrating the optimization method for the air supply system of the ducted air conditioner provided by the present invention;

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

[0055] Figure 3 This is one of the schematic diagrams showing the arrangement of the air duct, evaporator, and fan in the ducted air conditioner provided by the present invention;

[0056] Figure 4 This is the second schematic diagram showing the arrangement of the air duct, evaporator, and fan in the ducted air conditioner provided by this invention;

[0057] Figure 5 This is the third schematic diagram showing the arrangement of the air duct, evaporator, and fan in the ducted air conditioner provided by this invention;

[0058] Figure 6 This is a schematic diagram of the structural relationship of the fan in the duct air conditioner provided by the present invention;

[0059] Figure 7 This is a color schematic diagram of the simulated flow field at the fan outlet obtained by the traditional design method of the ducted air conditioner.

[0060] Figure 8 This is a grayscale schematic diagram of the simulated flow field at the fan outlet obtained by the traditional design method of the duct air conditioner.

[0061] Figure 9 This is a color schematic diagram of the simulated flow field at the fan outlet in the optimization method of the air supply system of the duct air conditioner provided by the present invention.

[0062] Figure 10This is a grayscale diagram of the simulated flow field at the fan outlet in the optimization method of the air supply system of the duct air conditioner provided by the present invention.

[0063] Figure 11 This is a color schematic diagram of the simulated flow field on the evaporator surface obtained using the traditional layout method of ducted air conditioning systems;

[0064] Figure 12 This is a grayscale schematic diagram of the simulated flow field on the evaporator surface obtained using the traditional layout method of ducted air conditioning units;

[0065] Figure 13 This is a color schematic diagram of the simulated flow field on the evaporator surface in the optimization method of the air supply system of the duct air conditioner provided by the present invention;

[0066] Figure 14 This is a grayscale diagram of the simulated flow field on the evaporator surface in the optimization method of the air supply system of the duct air conditioner provided by the present invention;

[0067] Figure 15 This is a schematic diagram of the structure of the optimized device for the air supply system of the duct air conditioner provided by the present invention;

[0068] Figure 16 This is a schematic diagram of the structure of the electronic device provided by the present invention.

[0069] Figure label:

[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 Implementation

[0073] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0074] The present invention will now be described in detail with reference to the accompanying drawings. 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 stated, "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 existing alone, B existing 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 mean A or B. "And / or" in this document is merely a description of the relationship between related 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.

[0075] The following is combined with Figures 1 to 16 This invention will be described in detail below.

[0076] Figure 1 This is a flowchart illustrating the optimization method of the duct air supply system provided by the present invention, showing the specific optimization steps of the duct air supply system of the present invention;

[0077] Figures 2 to 6 This is a structural schematic diagram of the ducted air conditioner provided by the present invention, as well as a schematic diagram of the arrangement and structure of the air duct 10, evaporator 20, and fan, etc. Figures 2 to 5 As can be seen, the evaporator 20 and the fan are located inside the ducted air conditioner. An air duct 10 is formed inside the ducted air conditioner, and the two ends of the air duct 10 are connected to the air inlet and the air outlet, respectively.

[0078] Furthermore, from Figure 6 As can be seen, the fan outlet has a first air outlet angle 31 and a second air outlet angle 32. The first air outlet angle 31 is the opening angle of the fan away from the air inlet of the air duct 10, that is, the first air outlet angle 31 is the angle of the fan away from the bottom wall of the air duct 10. The second air outlet angle 32 is the opening angle of the fan close to the air inlet of the air duct 10, that is, the second air outlet angle 32 is the angle of the fan close to the bottom wall of the air duct 10.

[0079] In a possible implementation, the air inlet of the duct air conditioner provided by the present invention is located 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 using traditional methods for ducted air conditioners. Figure 7 As can be seen, when using traditional methods to set or select relevant parameters for the fan, the airflow distribution at the fan outlet is not uniform, and the airflow domain is relatively chaotic, which can easily cause the ducted air conditioner to be noisy.

[0081] Figure 8This is a grayscale schematic diagram of the simulated flow field at the fan outlet obtained using traditional methods for ducted air conditioners. Figure 8 As can be seen, when using traditional methods to set or select relevant parameters for the fan, the airflow distribution at the fan outlet is not uniform, and the airflow domain is relatively chaotic, which can easily cause the ducted air conditioner to be noisy.

[0082] Figure 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. Figure 9 As can be seen, after the air supply system of the ducted air conditioner of the present invention is optimized, the airflow distribution at the fan outlet is more uniform, and the airflow domain is stable and orderly, achieving comfortable air supply and reducing the noise problem of the ducted air conditioner.

[0083] Figure 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. Figure 10 As can be seen, after the air supply system of the ducted air conditioner of the present invention is optimized, the airflow distribution at the fan outlet is more uniform, and the airflow domain is stable and orderly, achieving comfortable air supply and reducing the noise problem of the ducted air conditioner.

[0084] Figure 11 This is a color schematic diagram of the simulated flow field on the surface of the evaporator 20, obtained using the traditional layout method of ducted air conditioners. Figure 11 As can be seen, when the relevant parameters of the fan are set or selected using traditional methods, the airflow distribution formed on the surface of the evaporator 20 is as follows: Figure 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 domain is relatively chaotic, which can easily cause the ducted air conditioner to be noisy.

[0085] Figure 12 This is a grayscale schematic diagram of the simulated flow field on the surface of the evaporator 20, obtained using the traditional layout method of ducted air conditioners. Figure 12 As can be seen, when the relevant parameters of the fan are set or selected using traditional methods, the airflow distribution formed on the surface of the evaporator 20 is as follows: Figure 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 domain is relatively chaotic, which can easily cause the ducted air conditioner to be noisy.

[0086] Figure 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 duct air supply system provided by the present invention. Figure 13As can be seen, after the air supply system of the ducted air conditioner of the present invention is optimized, the airflow distribution on the surface of the evaporator 20 is more uniform, and the airflow domain is stable and orderly, which realizes comfortable air supply and reduces the noise problem of the ducted air conditioner.

[0087] Figure 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. Figure 14 As can be seen, after the air supply system of the ducted air conditioner of the present invention is optimized, the airflow distribution on the surface of the evaporator 20 is more uniform, and the airflow domain is stable and orderly, which realizes comfortable air supply and reduces the noise problem of the ducted air conditioner.

[0088] Figure 15 This is a schematic diagram of the structure of the optimized device for the air supply system of the duct machine provided by the present invention.

[0089] Figure 16 This is a schematic diagram of the structure of the electronic device provided by the present invention.

[0090] The present invention will now be described in detail with reference to specific embodiments.

[0091] In some specific embodiments of the present invention, such as Figures 1 to 14 As shown, this solution provides an optimization method for a ducted air supply system. The ducted air supply system includes: an air duct 10, an evaporator 20, and a fan; the air duct 10 is connected to the air inlet and air outlet of the ducted air supply system respectively; the evaporator 20 and the fan are respectively installed inside the air duct 10.

[0092] The methods include:

[0093] Obtain a first characteristic value and a second characteristic value of the evaporator 20. The first characteristic value includes at least the installation parameters of the evaporator 20 in the air duct 10, and the second characteristic value includes at least the model and / or size of the evaporator 20.

[0094] Acquire the fluid kinetic energy characteristics of the airflow within the duct 10;

[0095] The fan outlet parameters are determined based on the first characteristic value, the second characteristic value, and the fluid kinetic energy characteristics.

[0096] According to one 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] The installation tilt angle of the evaporator 20 within the air duct 10 is obtained, and a first characteristic value is generated based on the installation tilt angle;

[0098] The number of tubes, tube diameter, and thickness of the evaporator 20 are obtained, and a second characteristic value is generated based on the tube diameter, number of tubes, and thickness of the evaporator 20.

[0099] Specifically, this embodiment provides an implementation method for obtaining a first characteristic value and a second characteristic value of the evaporator 20. By obtaining the tilt angle of the evaporator 20 installed in the air duct 10, the first characteristic value is determined, and the second characteristic value is determined based on parameters such as the number of pipes, pipe diameter, and thickness of the evaporator 20. This provides numerical support for subsequently determining the air outlet parameters of the fan based on the first and second characteristic values.

[0100] It should be noted that the first characteristic value is the installation parameter of the evaporator 20 in the air duct 10, which includes at least the installation tilt angle.

[0101] According to one embodiment of the present invention, the step of obtaining the fluid kinetic energy characteristics of airflow flowing within the air duct 10 specifically includes:

[0102] Obtain the fluid velocity and Reynolds number of the airflow within the air duct 10;

[0103] The local loss parameters of fluid kinetic energy are determined based on the first and second eigenvalues.

[0104] The local loss coefficient of fluid kinetic energy is determined based on the local loss parameters of fluid kinetic energy, Reynolds number, and fluid velocity.

[0105] Fluid kinetic energy characteristics are generated based on the local loss coefficient of fluid kinetic energy.

[0106] Specifically, this embodiment provides an implementation method for obtaining the fluid kinetic energy characteristics of airflow within the duct 10. Based on the first and second characteristic values ​​obtained earlier, local fluid kinetic energy loss parameters are determined. Then, based on the fluid velocity, Reynolds number, and local fluid kinetic energy loss parameters within the duct 10, a local fluid kinetic energy loss coefficient is determined. This makes the fan outlet parameters more aligned with actual needs. By determining the relevant parameters of the fan outlet based on the local fluid kinetic energy loss, the airflow velocity distribution on the surface of the evaporator 20 becomes more uniform, reducing noise and providing a better user experience.

[0107] According to one embodiment of the present invention, the step of obtaining the fluid velocity of the airflow within the air duct 10 specifically includes:

[0108] Get the fan's preset speed;

[0109] The fluid velocity in the air duct 10 is determined based on the local loss parameters of fluid kinetic energy and the preset speed of the fan.

[0110] Specifically, this embodiment provides an implementation method for obtaining the fluid velocity of airflow within the air duct 10. By obtaining the preset rotation speed of the fan, the airflow velocity within the air duct 10 is determined, thereby providing support for the determination of the Reynolds number.

[0111] According to one embodiment of the present invention, the step of obtaining the Reynolds number further includes:

[0112] Get the length of air duct 10;

[0113] Obtain the kinematic viscosity and fluid density of airflow at room temperature;

[0114] The Reynolds number is determined based on the length of the duct 10, kinematic viscosity, fluid density, and fluid velocity.

[0115] Specifically, this embodiment provides an implementation method for obtaining the Reynolds number. By referring to the length of the air duct 10, the kinematic viscosity of the airflow at room temperature, and the fluid density, the determination of the Reynolds number is more consistent with the actual operation of the airflow in the air duct 10. This satisfies the requirement that the air outlet parameters of the fan can meet the airflow distribution requirements when the airflow leaves the fan outlet and the uniform arrangement requirements on the surface of the evaporator 20 under different environmental conditions, thereby reducing the noise problem caused by the airflow in the air duct 10 and improving the user experience.

[0116] Furthermore, the following specific formula is applied when calculating the Reynolds number:

[0117]

[0118] In the formula, Re is the Reynolds number;

[0119] v is the fluid velocity;

[0120] d is the characteristic length, which in the duct machine is the distance from the air outlet of the volute to the air outlet of the machine, that is, the distance of the air outlet duct 10.

[0121] ρ is the fluid density, which is generally taken as the air density under natural conditions or the density of moist air in calculations.

[0122] μ is the dynamic viscosity coefficient, i.e., the fluid viscosity, which is a constant.

[0123] Furthermore, the following specific formula is used when determining the local loss coefficient of fluid kinetic energy:

[0124]

[0125] In the formula, h m These are parameters representing the local loss 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 ducted air conditioner, the impact on h m The main reason for the value 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 based on the parameters of the evaporator 20.

[0131] Furthermore, v is directly proportional to the fan speed; the faster the speed, the greater the flow rate.

[0132] Furthermore, it can be seen from the above parameters that the main 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 depending on the shape of the local obstruction and 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 one embodiment of the present invention, the step of determining the air outlet parameters of a fan based on a first characteristic value, a second characteristic value, and fluid kinetic energy characteristics specifically includes:

[0134] Obtain the length parameter of the evaporator 20, and generate a second feature value based on the length parameter;

[0135] Obtain the flow area of ​​the airflow within the air duct 10;

[0136] The size and position of the first air outlet angle 31 of the fan are determined based on the first characteristic value, the second characteristic value and the fluid kinetic energy characteristics. The first air outlet angle 31 is the opening angle of the fan on the side 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 a fan. By obtaining the flow area of ​​the air passage within the air duct 10, and based on the flow area of ​​different air ducts 10, combined with the obtained length parameters of the evaporator 20, the first air outlet angle 31 of the fan at the air outlet is determined, so that the airflow is more evenly distributed at the air outlet of the fan.

[0138] According to one embodiment of the present invention, the step of determining the size and position of the first air outlet angle 31 of the fan based on the first characteristic value, the second characteristic value, and the fluid kinetic energy characteristic specifically includes:

[0139] Obtain the first surface area of ​​the evaporator 20 and the second surface area of ​​the fan outlet;

[0140] The correction coefficient is generated based on the watershed area, the first surface area, and the second surface area.

[0141] The first air outlet angle is adjusted to 31 based on the correction factor.

[0142] Specifically, this embodiment provides an implementation method for determining the size and position of the first air outlet angle 31 of the fan. The correction coefficient for the first air outlet angle 31 is determined by combining 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 the actual needs.

[0143] Furthermore, the calculation of the first air outlet angle 31 is performed using the following formula:

[0144] α=cos -1 {1-L 蒸 ×sinθ×(1-1 / n 2 ) / 4B}

[0145] In the formula, α is the first air outlet angle 31;

[0146] L 蒸 This refers to the length parameter of evaporator 20;

[0147] θ is the tilt angle of evaporator 20, that is, the angle between evaporator 20 and the bottom surface of the duct unit casing;

[0148] n is the friction surface area of ​​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 very large, (1-1 / n) 2 The value of can be approximated as 1;

[0149] B is the local loss coefficient of fluid kinetic energy.

[0150] According to one embodiment of the present invention, the step of determining the air outlet parameters of the fan based on the first characteristic value, the second characteristic value, and the fluid kinetic energy characteristics further includes:

[0151] Obtain the installation position parameters of the fan within 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 near the installation position inside the air duct 10.

[0153] Specifically, this embodiment provides an implementation method for determining the air outlet parameters of a fan. By determining the installation position parameters of the fan within the air duct 10, the size and position of the second air outlet angle 32 of the fan are determined, thereby further clarifying the relevant parameters of the fan outlet and ensuring uniform distribution of airflow at the fan outlet.

[0154] It should be noted that in practical applications, the evaporator 20 is generally positioned at the bottom of the air duct 10. Therefore, considering the case of maximum airflow, the second outlet angle 32 only needs to consider the issue of air drop, i.e., the distance from the volute outlet to the bottom of the evaporator 20. Generally speaking, if... Figure 6 In the middle, the distance between the second air outlet angle 32 and the evaporator 20. When the wind speed is relatively high, that is, the rated speed of the fan is high 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°. In existing products, due to the high air volume requirement and the fact that the distance between the volute and the evaporator 20 is far from meeting the distance conditions 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 fixing problem of the volute, a buckle is usually set at the bottom of the volute so that the second air outlet angle 32 needs to be raised a little. Therefore, it can be tilted upwards at an angle, generally 10° to 15° more than 90°.

[0155] According to one embodiment of the present invention, the step of determining the air outlet parameters of the fan based on the first characteristic value, the second characteristic value, and the fluid kinetic energy characteristics further includes:

[0156] Obtain the length of the evaporator 20, and generate a second feature value based on the length of the evaporator 20;

[0157] Obtain the thickness of the fan volute and generate fluid kinetic energy characteristics based on the thickness of the fan volute;

[0158] The fan outlet height is determined based on the first characteristic value, the second characteristic value, and the fluid kinetic energy characteristics.

[0159] Specifically, this embodiment provides an implementation method for determining the air outlet parameters of a 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 airflow distribution when it flows out of the fan air 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] In the formula, L 出 The height of the air outlet;

[0163] L 蒸 This refers to the length parameter of evaporator 20;

[0164] θ is the installation tilt angle of evaporator 20;

[0165] h is a coefficient, set according to the specific tilt angle of evaporator 20, and its value ranges from 2 / 3 to 1.

[0166] t is the wall thickness of the volute itself.

[0167] It should be noted that the larger the installation tilt angle of the evaporator 20, the smaller the h value; conversely, the smaller the installation tilt angle of the evaporator 20, the larger the h value.

[0168] Furthermore, the thickness of the volute is the wall thickness of the volute itself, which is generally taken as 2mm. It may be slightly adjusted according to the size of different duct units to improve strength, and generally does not exceed 5mm.

[0169] In one application scenario, the evaporator 20 has multiple parameters such as installation angle, number of pipes, pipe diameter and thickness pre-stored in the system. By selecting different parameters of the evaporator 20, different installation angles and other related parameters of the evaporator 20 can be obtained. For example, the installation tilt angle of the evaporator 20 in the air duct 10 is 60°, and a three-row φ5 pipe evaporator 20 is used. The thickness of the evaporator 20 is 39.9mm.

[0170] Furthermore, h m The value is 2.42 × 10 -7 With the motor speed preset at 1000 r / min, the fluid velocity is calculated to be 1.5 m / s, the length of duct 10 is 0.244 m, and the kinematic viscosity of room temperature air is 16.6 × 10⁻⁶. -6 Therefore, the Reynolds number of the flow pattern in this duct machine can be calculated to be 28442.

[0171] Therefore, the relation h m =B*v 2 The local loss coefficient B for solving the fluid kinetic energy using Re*2g is 6.06 × 10⁻⁶. -2 Therefore, according to the relation α=arccos{1-L*sinθ*(1-1 / n) 2 ) / 4B}, we get our α angle value as 75.52°, rounded down to 75°, thus obtaining the first air outlet angle value of our fan.

[0172] In some specific embodiments of the present invention, such as Figure 15As shown, this solution provides an optimization device for a ducted air supply system. The ducted air supply system includes: an air duct 10, an evaporator 20, and a fan; the air duct 10 is connected to the air inlet and air outlet of the ducted air supply system respectively, and the evaporator 20 and the fan are respectively installed 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 acquire a first characteristic value and a second characteristic value of the evaporator 20, wherein the first characteristic value includes at least the installation parameters of the evaporator 20 in the air duct 10, and the second characteristic value includes at least the 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; and the parameter determination module 60 is used to determine the air outlet parameters of the fan based on 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 via a bus; the memory stores computer instructions that can be executed 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, this solution provides a non-transitory computer-readable storage medium storing a computer program thereon. When the computer program is executed by a processor, it implements the steps of the above-described optimization method for the duct air supply system.

[0176] In some specific embodiments of the present invention, this 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, it implements the steps of the above-described optimization method for the duct air supply system.

[0177] Figure 16 An example is a schematic diagram of the physical structure of an electronic device, such as... Figure 16 As shown, the electronic device may include a processor 810, a communication interface 820, a memory 830, and a communication bus 840. The processor 810, communication interface 820, and memory 830 communicate with each other via the communication bus 840. The processor 810 can call logical instructions from the memory 830 to execute optimization methods for the ducted air supply system.

[0178] It should be noted that the electronic device in this embodiment can be a server, a PC, or other devices, as long as its structure includes the following: Figure 16The processor 810, communication interface 820, memory 830, and communication bus 840 shown are interconnected via the communication bus 840. The processor 810 can call logical instructions stored in the memory 830 to execute the aforementioned method. This embodiment does not limit the specific implementation of the electronic device.

[0179] The server can be a single server or a group of servers. The server group can be centralized or distributed (e.g., the servers 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 directly connect to at least one of the user terminal and a database to access the information and / or data stored therein. In some embodiments, the server can be implemented on a cloud platform; by way of example only, the cloud platform can include private cloud, public cloud, hybrid cloud, community cloud, distributed cloud, inter-cloud, multi-cloud, etc., or any combination thereof. In some embodiments, the server and user terminal can be implemented on an electronic device having one or more components as described in the embodiments of the present invention.

[0180] Furthermore, the network can be used for the exchange of information and / or data. In some embodiments, one or more components in the interaction scenario (e.g., servers, user terminals, and databases) 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. By way of example only, the network can include wired networks, wireless networks, fiber optic networks, telecommunications networks, intranets, the Internet, local area networks (LANs), wide area networks (WANs), wireless local area networks (WLANs), metropolitan area networks (MANs), wide area networks (WANs), public switched telephone networks (PSTNs), Bluetooth networks, ZigBee networks, or near field communication (NFC) networks, etc., or any combination thereof. In some embodiments, the network can include one or more network access points. For example, the network can include wired or wireless network access points, such as base stations and / or network switching nodes, through which one or more components in the interaction scenario can connect to the network to exchange data and / or information.

[0181] Furthermore, the logical instructions in the aforementioned memory 830 can be implemented as software functional units and, when sold or used as independent products, can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or a part of the 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 to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0182] In a possible implementation, the present invention provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, is implemented to perform the optimization method for the duct air supply system provided in the above embodiments.

[0183] In a possible implementation, the present invention also provides a computer program product, which includes a computer program stored on a non-transitory computer-readable storage medium. The computer program includes program instructions, and when the program instructions are executed by a computer, the computer is able to perform the methods provided in the above-described method embodiments.

[0184] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0185] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, 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., including several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods of various embodiments or some parts of embodiments.

[0186] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. An optimization method for a ducted air supply system, characterized in that, The ducted air conditioner includes: an air duct, an evaporator, and a fan; the air duct is connected to the air inlet and air outlet of the ducted air conditioner; the evaporator and the fan are respectively installed inside the air duct; The method includes: Obtain a first characteristic value and a second characteristic value of the evaporator. The first characteristic value includes at least the installation parameters of the evaporator in the air duct, and the second characteristic value includes at least the pipe diameter, number of pipe diameters, thickness, and length parameters of the evaporator. The fluid velocity and Reynolds number of the airflow within the duct are obtained; the local fluid kinetic energy loss parameter is determined based on the first characteristic value and the second characteristic value; the local fluid kinetic energy loss coefficient is determined based on the local fluid kinetic energy loss parameter, the Reynolds number, and the fluid velocity. The magnitude and position of the first air outlet angle of the fan are determined based on the first characteristic value, the second characteristic value, and the local fluid kinetic energy loss parameter. The first air outlet angle is the opening angle of the fan on the side away from the air inlet of the air duct. The following formula is used to determine the local fluid kinetic energy loss coefficient: ； In the formula, h m Here, B is the local loss parameter of fluid kinetic energy; v is the fluid velocity; Re is the Reynolds number; and g is a constant. The following formula is used to calculate the first air outlet angle: ； In the formula, α is the first air outlet angle; L 蒸 θ is the length parameter of the evaporator; θ is the tilt angle of the evaporator, that is, the angle between the evaporator and the bottom surface of the duct housing; n is the friction path area of ​​the air duct, which is related to the area of ​​the evaporator and the area of ​​the fan outlet; B is the local loss coefficient of fluid kinetic energy.

2. The optimization method for the air supply system of the ducted air conditioner according to claim 1, characterized in that, The step of obtaining the fluid velocity of the airflow within the duct specifically includes: Obtain the preset speed of the fan; The fluid velocity in the air duct is determined based on the local loss parameters of fluid kinetic energy and the preset rotational speed of the fan.

3. The optimization method for the air supply system of the ducted air conditioner according to claim 2, characterized in that, The step of obtaining the Reynolds number specifically includes: Obtain the length of the air duct; Obtain the kinematic viscosity and fluid density of the airflow at room temperature; The Reynolds number is determined based on the length of the duct, the kinematic viscosity, the fluid density, and the fluid velocity.

4. The optimization method for the air supply system of a ducted air conditioner according to any one of claims 1 to 3, characterized in that, The step of determining the magnitude and position of the first air outlet angle of the fan based on the first characteristic value, the second characteristic value, and the local loss coefficient of fluid kinetic energy specifically includes: Obtain the flow area of ​​the airflow in the duct, the first surface area of ​​the evaporator, and the second surface area of ​​the fan outlet; A correction coefficient is generated based on the watershed area, the first surface area, and the second surface area; The first air outlet angle is corrected according to the correction factor.

5. The optimization method for the air supply system of a ducted air conditioner according to any one of claims 1 to 3, characterized in that, The optimization method includes: Obtain the installation position parameters of the fan within the air duct; The size and position of the second air outlet angle of the fan are determined according to the installation position parameters. The second air outlet angle is the opening angle of the fan on the side closer to the installation position in the air duct.

6. The optimization method for the air supply system of a ducted air conditioner according to any one of claims 1 to 3, characterized in that, The optimization method includes: Calculate the height of the fan's outlet; The following formula is used to calculate the height of the fan outlet: ； In the formula, L 出 The height of the air outlet; L 蒸 This refers to the length parameter of the evaporator; θ is the installation tilt angle of the evaporator; h is a coefficient, which is set according to the specific tilt angle of the evaporator, and its value ranges from 2 / 3 to 1. t is the wall thickness of the volute itself.

7. An optimization device for a ducted air supply system, characterized in that, The ducted air conditioner includes: an air duct, an evaporator, and a fan; the air duct is connected to the air inlet and air outlet of the ducted air conditioner, and the evaporator and the fan are respectively installed inside the air duct; The device includes: a first acquisition module, a second acquisition module, and a parameter determination module; The first acquisition module is used to acquire a first characteristic value and a second characteristic value of the evaporator. The first characteristic value includes at least the installation parameters of the evaporator in the air duct, and the second characteristic value includes at least the pipe diameter, number of pipe diameters, thickness and length parameters of the evaporator. The second acquisition module is used to acquire the fluid velocity and Reynolds number of the airflow in the duct; determine the local fluid kinetic energy loss parameter based on the first feature value and the second feature value; and determine the local fluid kinetic energy loss coefficient based on the local fluid kinetic energy loss parameter, the Reynolds number, and the fluid velocity. The magnitude and position of the first air outlet angle of the fan are determined based on the first characteristic value, the second characteristic value, and the local fluid kinetic energy loss parameter. The first air outlet angle is the opening angle of the fan on the side away from the air inlet of the air duct. The following formula is used to determine the local fluid kinetic energy loss coefficient: ； In the formula, h m Here, B is the local loss parameter of fluid kinetic energy; v is the fluid velocity; Re is the Reynolds number; and g is a constant. The following formula is used to calculate the first air outlet angle: ； In the formula, α is the first air outlet angle; L 蒸 θ is the length parameter of the evaporator; θ is the tilt angle of the evaporator, that is, the angle between the evaporator and the bottom surface of the duct housing; n is the friction path area of ​​the air duct, which is related to the area of ​​the evaporator and the area of ​​the fan outlet; B is the local loss coefficient of fluid kinetic energy.

8. An electronic device, characterized in that, include: Memory and processor; The memory and the processor communicate with each other via a bus; The memory stores computer instructions that can be executed on the processor; When the processor invokes the computer instructions, it can execute the optimization method of the duct air supply system according to any one of claims 1 to 6.

9. 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, it implements the steps of the optimization method for the air supply system of the duct machine as described in any one of claims 1 to 6.

10. 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, it implements the steps of the optimization method for the air supply system of the duct machine as described in any one of claims 1 to 6.

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