Tree-shaped filter tube array layout method
By adopting tree layout and random phase changes in the infrasound sensor filter tube array, the problem of uneven noise phase distribution in the prior art is solved, and the noise reduction effect is significantly improved.
Patent Information
- Application Number
- CN202510015235.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-01-06
- Publication Date
- 2025-04-11
AI Technical Summary
In the existing rose-shaped filter tube array layout, the noise phase distribution is uneven, resulting in limited noise reduction effect.
The tree-shaped filter tube array layout method is adopted to form a tree-like tube array structure by following the Fibonacci sequence in the pipeline distribution, and random phase changes are introduced at each pipeline opening to ensure the uniform distribution of the noise phase between 0 and 2π.
The randomness of the noise phase is achieved. The closer the noise phase distribution is to uniform, the better its noise reduction effect is, and the noise reduction effect is higher than that of the existing design.
Smart Images
Figure CN119803658A_ABST
Abstract
Description
Technical Field
[0001] The invention relates to the technical field of infrasound monitoring, in particular to a tree-like filter tube array layout method. Background Art
[0002] The reception of infrasound waves requires the sensor to have high sensitivity, but high sensitivity also means that the sensor is easily disturbed by external noise. The existing method to reduce the impact of wind noise is to install a noise reduction pipe array (referred to as "pipe array") at the front end of the sensor. Its basic structure is a series of interconnected hollow pipes arranged together in a specific way. On the one hand, the pipes collect infrasound waves as the front end of the sensor, and on the other hand, the arrangement of the array can also be used to reduce the impact of wind noise. Since the wind noise has a small correlation at a certain distance, the wind noise generated at the entrance of different pipes will cancel each other out in the array, thus achieving the effect of suppressing noise like a filter. The most widely used filter pipe array layout with the most ideal noise reduction effect is the rose-shaped pipe array. Taking the rose petal layout as an example, its basic structure is that four main noise reduction pipes extend from the central synthesis cavity at the front end of the sensor to four directions. The four main pipes form a "cross" layout. Each main pipe is connected to a secondary synthesis cavity at the end, and each secondary synthesis cavity is connected to a number of branch pipes leading to the outside. The branch pipes spread out in all directions, shaped like rose petals, and the rose-shaped pipe array layout is named after this.
[0003] However, in the existing rose-shaped tube array, the distance from the pipe derived from the same secondary synthesis cavity to the synthesis cavity is the same, the distance from all secondary synthesis cavities to the previous synthesis cavity is the same, and the distance from all pipe openings to the central synthesis cavity is also the same. Therefore, the relative phase of the noise from each source does not change during the propagation process, and the final noise reduction effect depends entirely on the complexity of the phase at the sound source. Summary of the invention
[0004] Technical issues solved: In view of the shortcomings of the prior art, the present invention provides a tree filter array layout method, which increases the randomness of the noise phase propagated to the central synthesis cavity, and achieves the uniform distribution of the phase of all noise between 0 and 2π as much as possible. The closer the noise phase distribution is to uniformity, the better the noise reduction effect is. The noise reduction effect is higher than the existing design advantages, and solves the problems of the above-mentioned technology.
[0005] Technical solution: To achieve the above object, the present invention provides the following technical solution: a tree filter array layout method, comprising the following steps: Step 1: Determine the central synthesis cavity: regard the central synthesis cavity at the front end of the infrasound sensor as the root of the tree; Step 2: Design the trunk pipeline: The first pipeline connected to the central synthetic cavity serves as the trunk of the tree; Step 3: Branch pipe design: Multiple secondary synthesis chambers are extended outward from the central synthesis chamber. Each secondary synthesis chamber is connected to several branch pipes. The sound wave signals transmitted from each pipe are further processed. Branch pipes are derived from the main pipe to simulate the branching process of trees. Step 4: Follow the Fibonacci sequence: In terms of pipeline distribution, the number of pipelines is determined according to the distance to the central synthesis cavity. Following the Fibonacci sequence, the number of pipelines extending outward from the central synthesis cavity is 1, 2, 3, 5, 8...; Step 5: Construct a tree-like pipe array structure: form a pipe array structure similar to a tree, ensuring that the number and distribution of pipes conform to the law of the Fibonacci sequence; Step 6: Flexible layout: According to actual needs, set up multiple trunk pipelines outside the sensor box to form a more complex array. Choose to arrange the trunk pipelines evenly or centrally to adapt to different usage scenarios.
[0006] Preferably, the sound wave of a certain frequency transmitted from any one of the pipe openings in step 6 is: , in: For the The sound pressure value of the pipe outlet is for The amplitude of is the angular frequency, and the expression is , is the frequency, For the The phase of the sound wave of this frequency at the pipe outlet.
[0007] Preferably, the total sound pressure of the sound wave of this frequency at the step synthesis cavity is calculated as: Assume that the phase change of the sound wave of this frequency during the entire propagation process is , then the sound pressure of the sound wave of this frequency at the central synthesis cavity is: , in: is the total sound pressure of the sound wave of this frequency in the central synthesis cavity, is the number of pipelines.
[0008] Preferably, the distances of the pipes derived from the same secondary synthesis cavity from the synthesis cavity are different, the distances of all secondary synthesis cavities from the previous synthesis cavity are different, and the distances of all pipe openings from the central synthesis cavity are also different. Different propagation distances will lead to changes in relative phase, that is, is no longer a constant. At this time, the sound pressure of the sound wave of this frequency in the central synthesis cavity is expressed as: , in For the The phase change caused by the transmission from the pipe mouth to the central synthesis cavity is a random value between 0 and 2π.
[0009] Preferably, the Another random number is introduced based on , which is used to further increase the randomness of the noise phase propagated to the central synthesis cavity based on the originally low correlation of the various noise sources.
[0010] Preferably, the length of the trunk pipeline is calculated as: , in: The branch spacing is the length of each branch; The number of pipeline layers or branches.
[0011] Preferably, the number of secondary synthesis cavities in step 3 is calculated as:
[0012] in: is the total number of secondary synthesis cavities; The number of secondary synthesis chambers derived from each main pipeline; The number of main pipelines.
[0013] Preferably, the acoustic wave signal processing calculation is: , in: For the The acoustic wave signal of each branch pipe passing through; For the The amplitude of the branch pipeline signal; For the The phase of each branch pipe.
[0014] Preferably, the number of pipelines in step 4 is calculated as: , in: Indicates The number of pipelines in the layer; the number of Fibonacci numbers item.
[0015] Preferably, the total number of pipelines is calculated as: , in: is the total number of pipelines in the first N layers.
[0016] Compared with the prior art, the present invention provides a tree filter array layout method, which has the following beneficial effects: 1. The present invention adds a random phase change to the sound wave signal at each pipeline port. This change is independent of the basic phase, ensuring that the phase of each signal is different. A specific random number generation algorithm is used. These algorithms can ensure that the generated values are evenly distributed within the range. When the sound wave signals of all pipelines reach the central synthesis cavity, due to the randomness of the phase of each signal, the sound waves will superimpose on each other in the synthesis cavity, and the sound waves of different phases will interfere, thereby weakening or canceling the sound wave signals of some frequencies. By introducing these different random phases, the interference effect of the sound wave can effectively reduce the noise of a specific frequency, thereby increasing the randomness of the noise phase propagated to the central synthesis cavity, and achieving the uniform distribution of the phase of all noises between 0 and 2π as much as possible. The closer the noise phase distribution is to uniformity, the better the noise reduction effect.
[0017] 2. The present invention allows sound waves to propagate along different paths to the central synthesis cavity by using a tree-like structure layout. This reduces the coherence between signals, making the propagation distance, phase and interference characteristics of each path different, thereby further improving the noise reduction effect. The diversity and complexity of this structure further strengthens the independence of signals in different paths, achieving a beneficial effect of noise reduction that is higher than that of existing designs. BRIEF DESCRIPTION OF THE DRAWINGS
[0018] Figure 1 This is a schematic diagram of the tree-shaped pipeline array design of the present invention; Figure 2 This is a schematic diagram of the filter array of the tree-like infrasound sensor; DETAILED DESCRIPTION
[0019] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.
[0020] See also Figure 1 , a tree filter array layout method, comprising the following steps: Step 1: Determine the central synthesis cavity: regard the central synthesis cavity at the front end of the infrasound sensor as the root of the tree; Step 2: Design the trunk pipeline: The first pipeline connected to the central synthetic cavity serves as the trunk of the tree; Step 3: Branch pipe design: Multiple secondary synthesis chambers are extended outward from the central synthesis chamber. Each secondary synthesis chamber is connected to several branch pipes. The sound wave signals transmitted from each pipe are further processed. Branch pipes are derived from the main pipe to simulate the branching process of trees. Step 4: Follow the Fibonacci sequence: In terms of pipeline distribution, the number of pipelines is determined according to the distance to the central synthesis cavity. Following the Fibonacci sequence, the number of pipelines extending outward from the central synthesis cavity is 1, 2, 3, 5, 8...; Step 5: Construct a tree-like pipe array structure: form a pipe array structure similar to a tree, ensuring that the number and distribution of pipes conform to the law of the Fibonacci sequence; Step 6: Flexible layout: According to actual needs, set up multiple trunk pipelines outside the sensor box to form a more complex array. Choose to arrange the trunk pipelines evenly or centrally to adapt to different usage scenarios.
[0021] Specifically, the sound wave of a certain frequency transmitted from any pipe port in step 6 is:
[0022] in: For the The sound pressure value of the pipe outlet is for The amplitude of is the angular frequency, and the expression is , is the frequency, For the The phase of the sound wave of this frequency at the pipe outlet.
[0023] Specifically, the total sound pressure of the sound wave of this frequency at the step synthesis cavity is calculated as: Assume that the phase change of the sound wave of this frequency during the entire propagation process is , then the sound pressure of the sound wave of this frequency at the central synthesis cavity is:
[0024] in: is the total sound pressure of the sound wave of this frequency in the central synthesis cavity, is the number of pipelines.
[0025] Specifically, the distances from the pipes derived from the same secondary synthesis cavity to the synthesis cavity are different, the distances from all secondary synthesis cavities to the previous synthesis cavity are different, and the distances from all pipe openings to the central synthesis cavity are also different. Different propagation distances will lead to changes in relative phase, that is, is no longer a constant. At this time, the sound pressure of the sound wave of this frequency in the central synthesis cavity is expressed as:
[0026] in For the The phase change caused by the transmission from the pipe mouth to the central synthesis cavity is a random value between 0 and 2π.
[0027] Specifically, Another random number is introduced based on , which is used to further increase the randomness of the noise phase propagated to the central synthesis cavity based on the originally low correlation of the various noise sources.
[0028] Specifically, the length of the trunk pipeline is calculated as:
[0029] in: The branch spacing is the length of each branch; The number of pipeline layers or branches.
[0030] Specifically, the number of secondary synthesis cavities in step 3 is calculated as:
[0031] in: is the total number of secondary synthesis cavities; The number of secondary synthesis chambers derived from each main pipeline; The number of main pipelines.
[0032] Specifically, the acoustic wave signal processing calculation is:
[0033] in: For the The acoustic wave signal of each branch pipe passing through; For the The amplitude of the branch pipeline signal; For the The phase of each branch pipe.
[0034] Specifically, the number of pipelines in step 4 is calculated as:
[0035] in: Indicates The number of pipelines in the layer; the number of Fibonacci numbers item.
[0036] Specifically, the total number of pipelines is calculated as:
[0037] in: is the total number of pipelines in the first N layers. Embodiment 1
[0038] Parameter setting: total number of pipelines n=5 Amplitude of each pipeline :
[0039]
[0040]
[0041]
[0042]
[0043] Phase of each pipeline (expressed in radians):
[0044]
[0045]
[0046]
[0047]
[0048] Random phase changes Numerical value (taking random value as an example):
[0049]
[0050]
[0051]
[0052]
[0053] Frequency f=100Hz, corresponding angular frequency ; Calculation results: The total sound pressure p in the central synthetic cavity is calculated as follows:
[0054] Calculate p item by item: Calculate for t=0: ; ; ; ; ; Total sound pressure p:
[0055] Embodiment 2 Parameter settings: Total number of pipelines n=6 Amplitude of each pipeline :
[0056]
[0057]
[0058]
[0059]
[0060]
[0061] Phase of each pipeline (expressed in radians):
[0062]
[0063]
[0064]
[0065]
[0066]
[0067] Random phase change \Delta\theta_i value (taking random value as an example):
[0068]
[0069]
[0070]
[0071]
[0072]
[0073] frequency (Corresponding angular frequency ) Calculation results: The total sound pressure p in the central synthetic cavity is calculated as follows: Calculate for t=0: Calculate p item by item:
[0074]
[0075]
[0076]
[0077]
[0078]
[0079] Total sound pressure p:
[0080] Through the above two embodiments, we can see the performance of the tree-like tube array structure under different pipeline conditions and how the introduction of phase randomness affects the calculation of the final sound pressure.
[0081] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.
Claims
1. A tree filter array layout method, characterized in that: The following steps are involved: Step 1: Determine the central synthesis cavity: regard the central synthesis cavity at the front end of the infrasound sensor as the root of the tree; Step 2: Design the trunk pipeline: The first pipeline connected to the central synthetic cavity serves as the trunk of the tree; Step 3: Branch pipe design: Multiple secondary synthesis chambers are extended outward from the central synthesis chamber. Each secondary synthesis chamber is connected to several branch pipes. The sound wave signals transmitted from each pipe are further processed. Branch pipes are derived from the main pipe to simulate the branching process of trees. Step 4: Follow the Fibonacci sequence: In terms of pipeline distribution, the number of pipelines is determined according to the distance to the central synthesis cavity. Following the Fibonacci sequence, the number of pipelines extending outward from the central synthesis cavity is 1, 2, 3, 5, 8...; Step 5: Construct a tree-like pipe array structure: form a pipe array structure similar to a tree, ensuring that the number and distribution of pipes conform to the law of the Fibonacci sequence; Step 6: Flexible layout: According to actual needs, set up multiple trunk pipelines outside the sensor box to form a more complex array. Choose to arrange the trunk pipelines evenly or centrally to adapt to different usage scenarios.
2. A tree filter array layout method according to claim 1, characterized in that: The sound wave of a certain frequency transmitted from any one of the pipe ports in step 6 is: ， in: For the The sound pressure value of the pipe outlet is for The amplitude of is the angular frequency, and the expression is , is the frequency, For the The phase of the sound wave of this frequency at the pipe outlet.
3. The tree filter array layout method according to claim 2, characterized in that: The total sound pressure of the sound wave of this frequency at the synthesis cavity is calculated as: Assume that the phase change of the sound wave of this frequency during the entire propagation process is , then the sound pressure of the sound wave of this frequency at the central synthesis cavity is: , in: is the total sound pressure of the sound wave of this frequency in the central synthesis cavity, is the number of pipelines.
4. The tree filter array layout method according to claim 3, characterized in that: The distances from the pipelines derived from the same secondary synthesis cavity to the synthesis cavity are all different, the distances from all secondary synthesis cavities to the previous synthesis cavity are all different, and the distances from all pipeline ports to the central synthesis cavity are also different. Different propagation distances will lead to changes in relative phase, that is, is no longer a constant. At this time, the sound pressure of the sound wave of this frequency in the central synthesis cavity is expressed as: ， in For the The phase change caused by the transmission from the pipe mouth to the central synthesis cavity is a random value between 0 and 2π.
5. The tree filter array layout method according to claim 1, characterized in that: Said Another random number is introduced based on , which is used to further increase the randomness of the noise phase propagated to the central synthesis cavity based on the originally low correlation of the various noise sources.
6. The tree filter array layout method according to claim 1, characterized in that: The length of the trunk pipeline is calculated as: ， in: The branch spacing is the length of each branch; The number of pipeline layers or branches.
7. The tree filter array layout method according to claim 1, characterized in that: The number of secondary synthesis cavities in step 3 is calculated as: ， in: is the total number of secondary synthesis cavities; The number of secondary synthesis chambers derived from each main pipeline; The number of main pipelines.
8. A tree filter array layout method according to claim 7, characterized in that: The acoustic wave signal processing calculation is: ， in: For the The acoustic wave signal of each branch pipe passing through; For the The amplitude of the branch pipeline signal; For the The phase of each branch pipe.
9. A tree filter array layout method according to claim 8, characterized in that: The number of pipelines in step 4 is calculated as: ， in: Indicates The number of pipelines in the layer; the number of Fibonacci numbers item.
10. A tree filter array layout method according to claim 9, characterized in that: The total number of pipelines is calculated as: ， in: is the total number of pipelines in the first N layers.