Noise reduction method of intelligent electric appliance and intelligent electric appliance thereof

Abstract

The invention relates to a noise reduction method of an intelligent electric appliance and the intelligent electric appliance thereof.The intelligent electric appliance is provided with an air inlet and an air outlet, the air inlet and the air outlet are each provided with a flow guide part, and the angle and height of each flow guide part are adjustable. The noise contribution amount from the air inlet to the target monitoring point and the noise contribution amount from the air outlet to the target monitoring point are calculated based on a working condition transmission path analysis method; according to the size relation and the positive and negative characteristics, the adjusting path and strategy of the flow guide part are determined, so that optimal control over the angle and height of the flow guide part is achieved. The noise reduction method has the advantages that the noise contribution of the air inlet and the noise contribution of the air outlet can be accurately distinguished, data support is provided for noise reduction optimization, and the noise reduction effect is better.

Description

Technical Field

[0001] This invention relates to the field of smart electrical appliance technology, and in particular to a noise reduction method for smart electrical appliances and the smart electrical appliance thereof. Background Technology

[0002] A range hood is a smart kitchen appliance designed to purify the kitchen environment. It works on the principle of fluid dynamics, using a centrifugal fan installed inside to draw in and exhaust cooking fumes. The centrifugal fan consists of a volute, an impeller housed within the volute, and a motor that drives the impeller. During operation, the motor powers the impeller, drawing air in through the inlet, accelerating it through the volute's flow channels, and then expelling it through the outlet. The high-velocity airflow generated by the impeller's rotation creates intense turbulence between the airflow and the internal structure of the volute, forming a typical source of wind noise. At high speeds, this wind noise becomes the most noticeable noise component perceived by users in the kitchen environment.

[0003] During the operation of a range hood, the noise heard by the human ear is synthesized from two main sound sources: the air inlet and the air outlet. The noise transmitted to the human ear from the air inlet and the air outlet is superimposed. Therefore, noise is a typical model with multiple excitation sources, and there is a certain correlation between the noise transmitted to the human ear from the air inlet and the air outlet. To reduce noise, it is first necessary to distinguish which frequencies are the noise transmitted to the human ear from the air inlet and which are the noise transmitted to the human ear from the air outlet. Currently, the most common noise reduction method is to completely cover the air outlet with sound-absorbing cotton, leaving only the noise transmitted to the human ear from the air inlet. Then, the contribution of the air inlet and the air outlet is calculated by superimposing the sound pressure values.

[0004] However, current noise reduction methods can only completely cover the air outlet in a laboratory setting, not in a user's home. This is impractical and difficult to achieve. Furthermore, the noise heard by the human ear is only the sound pressure level. Based on the superposition of sounds, the noise contribution of the air inlet and outlet to the human ear can be deduced. Therefore, the noise reduction effect of current methods is limited. Further improvements to existing technologies are needed. Summary of the Invention

[0005] The first technical problem to be solved by the present invention is to provide a noise reduction method for smart appliances that can identify the noise contribution of the air inlet to the target monitoring point and the noise contribution of the air outlet to the target monitoring point, thereby improving the noise reduction effect, in light of the above-mentioned prior art.

[0006] The second technical problem to be solved by the present invention is to provide a smart appliance that applies the above-mentioned noise reduction method.

[0007] The technical solution adopted by the present invention to solve the first technical problem mentioned above is as follows: a noise reduction method for a smart appliance, the smart appliance having an air inlet and an air outlet, both the air inlet and the air outlet being provided with air guides, the angle and height of each air guide being adjustable, characterized in that the noise reduction method includes the following steps:

[0008] Noise signals were collected from the air inlet, air outlet, and target detection point, respectively, and the noise contribution from the air inlet to the target monitoring point was calculated based on the operating condition transmission path analysis method. Noise contribution from air outlet to target monitoring point ;

[0009] according to and By analyzing the size relationship and positive and negative characteristics, the adjustment path and strategy of the guide component are determined, so as to achieve optimized control of the angle and height of the guide component.

[0010] The specific process for determining the adjustment path and strategy of the flow guide is as follows: If and All are positive values, and | – |≥First set threshold In this case, only the guide component on the main contribution path side is adjusted, while the guide component on the small contribution path side is fixed.

[0011] like > Then the air inlet is the primary contributing path, and the air outlet is the secondary contributing path; if > In this case, the air outlet is the primary contributing path, and the air inlet is the secondary contributing path.

[0012] Preferably, the specific process of adjusting the guide on one side of the main contribution path is as follows: First, adjust the angle α of the guide on one side of the main contribution path, and scan traversally within a set range to obtain the optimal angle of the guide on one side of the main contribution path when the target noise is minimized. ; Optimal angle of the guide vane on one side of the fixed main contribution path Then, adjust the height h of the guide to obtain the optimal height of the guide on one side of the main contributing path. .

[0013] Furthermore, if and All are positive values, and | – | < Then a synchronous adjustment strategy is adopted, which simultaneously adjusts the angle of the air inlet guide. and the angle of the air outlet guide. The optimal angle combination for achieving the best noise reduction effect is determined by combining the scanning angles. This optimal angle combination includes the optimal angle of the air inlet guide. Optimal angle with the air outlet guide ; Fix the optimal angle combination, and continue to adjust the height of the two guide vanes synchronously to obtain the optimal height combination, which includes the optimal height of the air inlet guide vane. Optimal height of the air outlet guide .

[0014] To improve the noise reduction effect, after obtaining the optimal combination of angle and height, it is necessary to fine-tune the two guide components, that is, to slightly change the angle and height within a local range to capture the possible local optimal solution.

[0015] Furthermore, if and If one is positive and the other is negative, then the proportion B of the frequency range corresponding to the negative contribution path in the total energy is calculated.

[0016] If B ≥ the second set threshold If the negative contribution path has a canceling effect, the angle and height of the guide on the negative contribution path side are adjusted first, and then the angle and height of the guide on the positive contribution path side are adjusted.

[0017] If B < If the negative contribution path is not optimized, only the angle and height of the guide component on the positive contribution path side are adjusted.

[0018] Preferably, the The value range is: 10%≤ ≤20%.

[0019] The technical solution adopted by the present invention to solve the second technical problem mentioned above is: a smart appliance, characterized in that: a noise reduction method as described above for smart appliances is used.

[0020] Preferably, the smart appliance is a range hood.

[0021] Compared with existing technologies, the advantages of this invention are: by calculating the noise contribution of the air inlet and outlet to the target detection point, the actual impact of each path on the noise is identified. Based on this identification result, the angle and height parameters of the air inlet and outlet guides are adjusted respectively to achieve targeted control of the main noise paths, resulting in better noise reduction. Attached Figure Description

[0022] Figure 1 This is a flowchart of a noise reduction method for smart appliances in an embodiment of the present invention. Detailed Implementation

[0023] The present invention will be further described in detail below with reference to the accompanying drawings and embodiments.

[0024] This embodiment relates to a noise reduction method for a smart appliance and the smart appliance itself. The smart appliance has an air inlet and an air outlet, both of which are equipped with air guides, the angle and height of which are adjustable.

[0025] This embodiment uses a range hood as an example of a smart appliance. The air inlet guide can be a ring suction plate or an air inlet grille, both of which are used to adjust the air inlet angle and height. The air outlet guide can be a tongue or guide plate for adjusting the air direction. The air inlet and outlet guides in this range hood are all existing technologies and will not be described in detail here. Figure 1 As shown, the noise reduction method for smart appliances in this embodiment includes the following steps:

[0026] Noise signals were collected from the air inlet, air outlet, and target detection point, respectively, and the noise contribution from the air inlet to the target monitoring point was calculated based on the operating condition transmission path analysis method. Noise contribution from air outlet to target monitoring point ;

[0027] according to and By analyzing the size relationship and positive and negative characteristics, the adjustment path and strategy of the guide component are determined to achieve optimized control of the angle and height of the guide component, thereby effectively reducing the noise at the target point.

[0028] Operating Path Analysis (OPA) is a method for identifying path contribution using transit rate. The theoretical formula is:

[0029]

[0030] in, For the response of the target monitoring point, This represents the number of paths to the vibration source. Let be the acceleration value at the passive end excitation point under the i-th path condition. This represents the number of paths to the sound source. Let be the sound pressure level of the sound source under the j-th path condition; in this embodiment, the target monitoring point is at the human ear. It is acquired through a microphone; and These represent the transmission rates from the structural transmission path and the air transmission path to the target point, respectively. The structural transmission path refers to the noise generated by the structure due to resonance. In this embodiment, resonance is not considered; only the noise source identification of the fan under high speed and without resonance noise is performed, so it can be ignored. Therefore, the formula in this embodiment can be simplified to:

[0031]

[0032] In this embodiment, there are two air transfer paths; the first is from the air inlet to the ear (or other monitoring point); the second is from the air outlet to the ear (or other monitoring point). Since it is a transfer rate, the transfer rates of the two air transfer paths are... It can be done / and / To obtain the noise, microphones were placed at the air inlet and outlet of the range hood, and at the user's ear, respectively. Noise from the air outlet Noise and human ear ;

[0033] The above calculations determine the noise contribution of the air inlet to the target monitoring point. and the noise contribution of the air outlet to the target monitoring point The specific process can be found in the paper: Wen Zhiming, Zhang Rongting, Gu Huanhuan. Noise source identification of outdoor unit of air conditioner based on working condition transmission path analysis method [J]. Refrigeration and Air Conditioning, 2021, 21(2), which will not be elaborated here.

[0034] In this embodiment and The magnitude relationship and positive / negative characteristics specifically include the following three typical cases:

[0035] Scenario 1: and All values ​​are positive, and the differences are significant.

[0036] like > And the difference between the two is greater than the first preset threshold. ( | – |≥ If the air inlet is considered the main contributing path, then in this embodiment, the parameters of the air outlet guide are fixed, and only the angle of the air inlet guide is adjusted. :

[0037] The angle adjustment range of the air inlet guide is the current angle. The process is repeated ±30° in 5° increments; the noise value at the target point corresponding to each angle is recorded to determine the optimal angle of the air inlet guide. (Corresponding to the minimum noise value);

[0038] Optimal angle of the air inlet guide Under fixed conditions, further adjust the optimal angle and height of the air inlet guide. Specifically, the scanning range is the height of the air intake guide. With a tolerance of ±30mm and a step size of 5mm, record the noise value at the target point corresponding to each angle, and obtain the optimal height of the air inlet guide corresponding to the minimum noise value. ;

[0039] like > The steps are the same as above, but the roles are reversed, and the angle of the air outlet guide is adjusted. With height ;

[0040] Scenario 2: and One positive and one negative

[0041] like >0 and <0, or vice versa, indicates the possibility of path cancellation; the proportion B of the frequency band corresponding to the negative contribution path in the total energy is calculated:

[0042] if >0, If <0, then the air inlet is a negative contribution path; if <0, If the value is greater than 0, then the air outlet is a negative contribution path;

[0043] If B ≥ (In this embodiment) If the percentage is 10%, then the negative contribution path is considered to have optimization potential.

[0044] Prioritize adjusting the α and h parameters for this negatively contributing path (e.g.) , );

[0045] Then adjust the α and h parameters for the positive contribution path (e.g.) , );

[0046] If B < If so, only the angle and height of the guide vane on the positive contribution path side are optimized, while the angle and height of the guide vane on the negative contribution path side are fixed.

[0047] Scenario 3: and All are positive values, and the values ​​are close to each other.

[0048] when and The difference is less than (| – |< This indicates that the air outlet and air inlet are equal main contribution paths, and a synchronous adjustment strategy should be adopted.

[0049] Synchronously adjust the angle of the air inlet guide. Angle with the air outlet guide Construct angle combinations as input variables and perform joint scanning within a given range;

[0050] A linear pairing strategy (such as...) can be used. =10°, =20°→ =11°, =19°……); or a combination of strategies such as mirror transformation and non-monotonic return, the specific scanning path is not limited; to obtain the optimal angle combination ( , After that, the height parameters are further adjusted synchronously. and To obtain the optimal height combination ( , ).

[0051] Fine-tuning and combinatorial optimization strategy: To further approach the local optimum, after obtaining the optimal combination of parameters such as angle α and height h, fine-tuning optimization is performed: [The remaining text appears to be incomplete and requires further context.] , Set the fine-tuning range (e.g., α±10°, h±10mm). Construct multiple input combinations (e.g., 4 combinations), test the noise at the target point one by one, and select the parameter combination corresponding to the minimum noise as the final adjustment result.

[0052] The above description is only a preferred embodiment of the present invention. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the technical principles of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. A noise reduction method for a smart appliance, the smart appliance having an air inlet and an air outlet, both the air inlet and the air outlet being equipped with air guides, the angle and height of each air guide being adjustable, characterized in that... Noise reduction methods include the following steps: Noise signals were collected from the air inlet, air outlet, and target detection point, respectively, and the noise contribution from the air inlet to the target monitoring point was calculated based on the operating condition transmission path analysis method. Noise contribution from air outlet to target monitoring point ; according to and By analyzing the size relationship and positive and negative characteristics, the adjustment path and strategy of the guide component are determined, so as to achieve optimized control of the angle and height of the guide component.

2. The noise reduction method for smart appliances according to claim 1, characterized in that: if and All are positive values, and | – |≥First set threshold In this case, only the guide component on the main contribution path side is adjusted, while the guide component on the small contribution path side is fixed. like > Then the air inlet is the primary contributing path, and the air outlet is the secondary contributing path; if > In this case, the air outlet is the primary contributing path, and the air inlet is the secondary contributing path.

3. The noise reduction method for intelligent electrical appliances according to claim 2, characterized in that: The specific process of adjusting the guide on one side of the main contribution path is as follows: First, adjust the angle α of the guide on one side of the main contribution path. Scan the entire range within the set range to obtain the optimal angle of the guide on one side of the main contribution path when the target noise is minimized. ; Optimal angle of the guide vane on one side of the fixed main contribution path Then, adjust the height h of the guide to obtain the optimal height of the guide on one side of the main contributing path. .

4. The noise reduction method for smart appliances according to claim 1, characterized in that: if and All are positive values, and | – |< Then a synchronous adjustment strategy is adopted, which simultaneously adjusts the angle of the air inlet guide. and the angle of the air outlet guide. The optimal angle combination for achieving the best noise reduction effect is determined by combining the scanning angles. This optimal angle combination includes the optimal angle of the air inlet guide. Optimal angle with the air outlet guide ; Fix the optimal angle combination, and continue to adjust the height of the two guide vanes synchronously to obtain the optimal height combination, which includes the optimal height of the air inlet guide vane. Optimal height of the air outlet guide .

5. The noise reduction method for intelligent electrical appliances according to claim 4, characterized in that: After obtaining the optimal combination of angle and height, it is necessary to fine-tune the two guide components, that is, to slightly change the angle and height within a local range to capture the possible local optimal solution.

6. The noise reduction method for intelligent electrical appliances according to claim 1, characterized in that: if and If one is positive and the other is negative, then the proportion B of the frequency range corresponding to the negative contribution path in the total energy is calculated. If B ≥ the second set threshold If the negative contribution path has a canceling effect, the angle and height of the guide on the negative contribution path side are adjusted first, and then the angle and height of the guide on the positive contribution path side are adjusted. If B < If the negative contribution path is not optimized, only the angle and height of the guide component on the positive contribution path side are adjusted.

7. The noise reduction method for intelligent electrical appliances according to claim 6, characterized in that: The The value range is: 10%≤ ≤20%.

8. A smart appliance, characterized in that: The noise reduction method for smart electrical appliances as described in any one of claims 1 to 7 above is adopted.

9. The intelligent electrical appliance according to claim 8, characterized in that: The smart appliance is a range hood.

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