Wireless low-cost fast noise detection and noise reduction analysis method and system
By collecting noise signals from a smartphone and wirelessly transmitting them to a computer for analysis and simulation, this technology solves the problems of high cost and poor flexibility in existing noise analysis and reduction technologies, achieving low-cost and rapid noise detection and reduction effects.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- IRIDING SHENZHEN TECH CO LTD
- Filing Date
- 2022-12-12
- Publication Date
- 2026-07-24
AI Technical Summary
Existing technologies cannot perform noise analysis and reduction in a low-cost and flexible manner, and professional equipment is expensive and lacks flexibility in use.
Noise signals are collected using smartphones and wirelessly transmitted to a computer for analysis. Signal processing is performed using Matlab software, and noise reduction simulation experiments are conducted using simulation software until the desired effect is achieved. Then, a noise reduction product sample is made.
It achieves low-cost and flexible noise analysis and denoising, saves prototyping costs and R&D time, enables rapid design changes, and provides high accuracy in software simulation models.
Smart Images
Figure CN116070413B_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of noise analysis and noise reduction technology, specifically to a wireless, low-cost, and rapid noise detection and noise reduction analysis method and system. Background Technology
[0002] Air pumps primarily generate two types of noise during operation: vibration noise and aerodynamic noise. Aerodynamic noise is a sound produced directly by the airflow within the pump, characterized by chaotic amplitude and frequency, and statistically irregular patterns. Vibration noise is generated by the vibration of the motor and other mechanical components (such as motors and gears) during operation. Both types of noise, regardless of their specific nature, can create a sense of dissatisfaction and significantly impact the user experience when using the air pump. Therefore, a practical and convenient noise analysis and reduction technology is urgently needed to improve the user experience of air pumps.
[0003] Currently, when solving the above problems, relevant technicians generally use highly specialized noise signal acquisition equipment to collect noise, and then use specialized noise analysis equipment to analyze the noise, thereby finding corresponding noise reduction measures and methods.
[0004] However, while professional noise acquisition and analysis equipment can obtain relatively accurate noise analysis results to a certain extent, such equipment is expensive and generally requires precise and complex wiring, making it highly susceptible to limitations imposed by the venue and equipment, resulting in poor flexibility in its use. Summary of the Invention
[0005] (a) Technical problems to be solved
[0006] To address the shortcomings of existing technologies, this invention provides a wireless, low-cost, and rapid noise detection and denoising analysis method and system, solving the problem that existing technologies cannot perform noise analysis and denoising in a low-cost and flexible manner.
[0007] (II) Technical Solution
[0008] To achieve the above objectives, the present invention provides the following technical solution:
[0009] In a first aspect, the present invention also proposes a low-cost, fast wireless noise detection and denoising analysis method, the method comprising:
[0010] Noise signals of moving parts at different speeds are collected using noise acquisition equipment;
[0011] The noise acquisition device transmits the acquired noise signal wirelessly to the noise signal processing device for analysis, thereby determining the noise type and source corresponding to the noise signal;
[0012] Based on the noise type and source, select the appropriate simulation software to conduct noise reduction simulation experiments until the simulation effect reaches the expected level, then stop and produce a noise reduction product sample.
[0013] Preferably, the noise acquisition device includes a smartphone; the noise signal processing device includes a computer.
[0014] Preferably, the wireless transmission method includes Bluetooth transmission.
[0015] Preferably, analyzing the noise signal to determine the noise type and source includes:
[0016] S21. Perform Bass filtering on the time-domain signal of the noise signal using Matlab software;
[0017] S22. Convert the filtered time-domain signal into a frequency-domain signal using Fourier transform;
[0018] S23. Perform A / B / C weighting and correction on the frequency domain signal, and obtain the spectrum of the noise signal;
[0019] S24. Obtain the noise type based on the spectrum diagram, and determine the noise source by combining multibody dynamics simulation analysis.
[0020] Preferably, the noise type includes vibration noise and aerodynamic noise.
[0021] Secondly, the present invention also proposes a wireless, low-cost, and rapid noise detection and denoising analysis system, the system comprising:
[0022] The noise signal acquisition module is used to acquire noise signals of moving parts at different speeds using noise acquisition equipment.
[0023] The noise signal analysis module is used by the noise acquisition device to transmit the acquired noise signal to the noise signal processing device via wireless transmission for analysis, and to determine the noise type and source corresponding to the noise signal.
[0024] The noise reduction simulation module is used to select simulation software based on the noise type and source to conduct noise reduction simulation experiments until the simulation effect reaches the expected level, and then to sample the noise reduction product.
[0025] Preferably, the noise acquisition device includes a smartphone; the noise signal processing device includes a computer.
[0026] Preferably, the wireless transmission method includes Bluetooth transmission.
[0027] Preferably, the noise signal analysis module analyzes the noise signal to determine the noise type and source corresponding to the noise signal, including:
[0028] S21. Perform Bass filtering on the time-domain signal of the noise signal using Matlab software;
[0029] S22. Convert the filtered time-domain signal into a frequency-domain signal using Fourier transform;
[0030] S23. Perform A / B / C weighting and correction on the frequency domain signal, and obtain the spectrum of the noise signal;
[0031] S24. Obtain the noise type based on the spectrum diagram, and determine the noise source by combining multibody dynamics simulation analysis.
[0032] Preferably, the noise type includes vibration noise and aerodynamic noise.
[0033] (III) Beneficial Effects
[0034] This invention provides a low-cost, rapid method and system for wireless noise detection and denoising analysis. Compared with existing technologies, it has the following advantages:
[0035] 1. This invention first uses noise acquisition equipment to collect noise signals from moving parts at different speeds; then, it analyzes the noise signals to determine the corresponding noise types; finally, based on the noise type, it selects simulation software to conduct noise reduction simulation experiments until the simulation effect reaches the expected level, at which point it stops, and the noise-reduced product is prototyped. The initial signal acquisition cost of this invention is low and convenient to use; the subsequent noise reduction optimization design of the product is confirmed in the simulation software before prototyping, which saves prototyping costs and development time.
[0036] 2. This invention utilizes smartphones to collect noise signals, which is less expensive than existing professional noise collection equipment. Furthermore, no signal transmission line is required during noise signal transmission, enabling rapid noise signal collection without being limited by equipment size or location, thus offering greater flexibility.
[0037] 3. In this invention, Matlab software is used to process noise signals. It has stronger scalability. After A / B / C weighted processing of the noise signal, a frequency domain signal spectrum can be plotted. This spectrum can be compared with the spectrum made by the subsequent improvement scheme to judge the improvement effect. It has strong processing capability and faster signal processing speed.
[0038] 4. In this invention, Matlab software and simulation analysis software work together. After the product noise reduction optimization design changes, the optimization effect can be confirmed in the software first. After verifying that the effect meets the expectations in the software, prototyping can be carried out. The design and development cycle is shorter, the design changes are faster, the software simulation model has higher accuracy, and the prototyping cost is lower. Attached Figure Description
[0039] To more clearly illustrate the technical solutions in the embodiments of the present 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 only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.
[0040] Figure 1 This is a flowchart of a wireless low-cost and fast noise detection and denoising analysis method according to the present invention;
[0041] Figure 2 This is a flowchart of noise signal analysis in an embodiment of the present invention;
[0042] Figure 3 This is a system block diagram of a wireless, low-cost, and fast noise detection and reduction analysis system according to the present invention. Detailed Implementation
[0043] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention are described clearly and completely. 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.
[0044] This application provides a wireless, low-cost, and rapid noise detection and reduction analysis method and system, which solves the problem that existing technologies cannot perform noise analysis and reduction in a low-cost and flexible manner. It achieves the goal of analyzing and reducing noise of moving parts at a low cost, thereby improving the user experience.
[0045] The technical solution in this application is to solve the above-mentioned technical problems, and the general idea is as follows:
[0046] To overcome the problems of high cost and poor flexibility in existing noise analysis and denoising technologies, this application's technical solution utilizes a smartphone to collect noise signals from moving parts at different speeds, transmits them wirelessly to a computer, and then uses Matlab software on the computer to analyze the noise signals to obtain the noise type and source. Finally, denoising simulation experiments are conducted using simulation software corresponding to different noise types until the simulation effect reaches the expected level, at which point the simulation stops, and a denoising-reduced product prototype is produced. This application's technical solution utilizes a smartphone to collect signals, resulting in almost zero cost and eliminating the need for wiring, making it convenient and fast. Furthermore, after noise reduction optimization, the product can be verified in the software first, and prototyping can only proceed after the effect meets expectations, shortening the design and development cycle. The software simulation model has high accuracy, saving prototyping costs and development time.
[0047] To better understand the above technical solutions, the following will provide a detailed explanation of the technical solutions in conjunction with the accompanying drawings and specific implementation methods.
[0048] Example 1:
[0049] Firstly, this invention proposes a low-cost, fast wireless noise detection and denoising analysis method, see [link to relevant documentation]. Figure 1 The method includes:
[0050] S1. Collect noise signals of moving parts at different speeds using noise acquisition equipment;
[0051] S2. The noise acquisition device transmits the acquired noise signal to the noise signal processing device via wireless transmission for analysis, and determines the noise type and source corresponding to the noise signal;
[0052] S3. Based on the noise type and source, select simulation software to conduct noise reduction simulation experiments until the simulation effect reaches the expected level, and then stop and produce a noise reduction product sample.
[0053] As can be seen, this embodiment first uses noise acquisition equipment to collect noise signals of moving parts at different speeds; then it analyzes the noise signals to determine the corresponding noise types; finally, based on the noise type, it selects simulation software to conduct noise reduction simulation experiments until the simulation effect reaches the expected level, and then stops and the noise-reduced product is prototyped. In this embodiment, the initial signal acquisition cost is low and the process is convenient and quick; the subsequent noise reduction optimization design of the product is confirmed in the simulation software to achieve the expected effect before prototyping, which can save prototyping costs.
[0054] The following is in conjunction with the appendix Figure 1-2 The following details the implementation process of an embodiment of the present invention, including explanations of the specific steps S1-S3.
[0055] S1. Use noise acquisition equipment to collect noise signals of moving parts at different speeds.
[0056] For components with periodic motion, the motion period is varied, and noise signals are measured multiple times at different motion speeds. In existing technologies, professional noise acquisition equipment is generally used to collect noise. However, professional noise signal acquisition equipment is expensive, and there are complex and precise wiring and connections between it and subsequent noise analysis equipment, making it easily limited by site and space constraints, resulting in poor flexibility. To solve these problems, in this embodiment, to save costs and enhance the flexibility of signal transmission between the noise signal acquisition and processing equipment, a smartphone (e.g., an iPhone) can be directly used as the noise signal acquisition device. When a mobile phone records noise, the acquired noise signal is a time-domain signal, and the mobile phone's audio signal sampling frequency is very high, essentially the same as the sampling frequency of professional audio acquisition equipment. Furthermore, almost everyone owns a mobile phone, so the cost of using a mobile phone for noise signal acquisition is practically zero.
[0057] In this embodiment, an iPhone is used as a noise signal acquisition device. For periodically moving parts (such as motors, gears, etc.), the motion cycle is changed, and the noise signal is measured multiple times at different motion speeds.
[0058] S2. The noise acquisition device transmits the acquired noise signal to the noise signal processing device via wireless transmission for analysis, and determines the noise type and source corresponding to the noise signal.
[0059] To address the limitations of venue and space in data transmission between professional signal acquisition equipment and subsequent noise analysis equipment, which restricts flexibility, an iPhone transmits the acquired noise signal to a computer via Bluetooth. The noise signal is then processed using Matlab software on the computer. (See also...) Figure 2 The main function of the program is to analyze and process noise signals to determine the noise type corresponding to each type of noise signal. The specific steps are as follows:
[0060] S21. Perform Bass filtering on the time-domain signal of the noise signal using Matlab software.
[0061] Matlab performs Bass filtering on the time-domain signal of noisy signals. The algorithm in the Matlab software program can automatically filter out ambiguous signals in the time-domain signal.
[0062] S22. The filtered time-domain signal is converted into a frequency-domain signal through Fourier transform.
[0063] The algorithm uses Fourier transform to convert the filtered time-domain signal into a frequency-domain signal, and then corrects the amplitude of the converted frequency-domain signal based on empirical values.
[0064] S23. Perform A / B / C weighting and correction on the frequency domain signal, and obtain the spectrum of the noise signal.
[0065] The above frequency domain signals are weighted and corrected using A / B / C methods, and then processed using one-third octave bands.
[0066] S24. Obtain the noise type based on the spectrum diagram, and determine the noise source by combining multibody dynamics simulation analysis.
[0067] MATLAB software automatically plots the frequency domain signal spectrum, i.e., the spectrum diagram, after A / B / C weighting and correction. Analyzing the spectrum diagram clearly reveals the fundamental frequency and harmonics of the noise. Specifically, noise is divided into vibration noise and aerodynamic noise. The frequency of vibration noise is basically consistent with the frequency of periodic motion. When the motion frequency changes, the frequency of vibration noise also changes synchronously. Noises with essentially unchanged frequencies on the spectrum can be identified as aerodynamic noise.
[0068] Then, by combining multibody dynamics simulation analysis, the source of noise can be basically determined. For example, by using Adams software to analyze the frequency of mechanical vibration, the noise source of the mechanical vibration can be located.
[0069] S3. Based on the noise type and source, select simulation software to conduct noise reduction simulation experiments until the simulation effect reaches the expected level, and then stop and produce a noise reduction product sample.
[0070] After identifying the sources of aerodynamic and motion noise based on the analysis results in S2, targeted improvements are made to the noise source areas to reduce noise.
[0071] After design changes to the noise source location, noise reduction simulations were first performed in simulation software. Once the simulation results confirmed that the expected effects were achieved, the simulation experiment was stopped, and then a prototype was tested. Specifically:
[0072] 1) To improve aerodynamic noise, we use aerodynamic noise simulation software. We design a silencer cavity using the simulation software, placing it on the product's air outlet pipe to absorb a fixed frequency. Then, we use simulation experiments to determine the noise reduction effect of the simulated silencer cavity. If the noise reduction effect is unsatisfactory, we continue to improve the design and verify the noise reduction effect... This process of designing and verifying the silencer cavity continues until the expected noise reduction effect is achieved, at which point we stop improving. The aerodynamic noise simulation software we use is Actran.
[0073] 2) To improve vibration and noise, we use vibration and noise simulation software. We combine simulation with the mechanical structure's vibration to reduce the vibration amplitude and change the product's vibration frequency through software control. Similarly, we adjust the product's vibration amplitude and frequency design to verify the noise reduction effect until the expected noise reduction effect is achieved, at which point we stop designing and improving the product's vibration amplitude and frequency. Actran software can also be used for vibration and noise simulation.
[0074] In this embodiment, the initial noise value of the product is 80dB. When the overall noise level is reduced by 5-6dB, or when the noise amplitude at around 3000Hz is reduced by 10dB, we consider the noise reduction effect to have reached the expected level. At this point, we stop the improvement and start prototyping the corresponding noise reduction product.
[0075] After the design changes, the frequency domain signal spectrum generated by A / B / C weighted processing of the noise signal can be compared with the spectrum generated after the noise reduction improvement scheme to determine the improvement effect. The optimization effect can be confirmed in simulation software. Prototyping can only proceed after verifying that the noise reduction effect meets the expected requirements in the software. This results in a shorter design and development cycle, higher accuracy of the software simulation model, and lower prototyping costs. Experiments show that after optimization of the noise analysis and improvement algorithm, the signal processing time in this embodiment is approximately 5 minutes, demonstrating strong noise detection and noise reduction analysis capabilities and faster noise signal processing speed.
[0076] This completes the entire process of the wireless low-cost and fast noise detection and denoising analysis method of Embodiment 1.
[0077] Example 2:
[0078] Secondly, the present invention also provides a wireless, low-cost, rapid noise detection and denoising analysis system, see [link to relevant documentation]. Figure 3 The system includes:
[0079] The noise signal acquisition module is used to acquire noise signals of moving parts at different speeds using noise acquisition equipment.
[0080] The noise signal analysis module is used by the noise acquisition device to transmit the acquired noise signal to the noise signal processing device via wireless transmission for analysis, and to determine the noise type and source corresponding to the noise signal.
[0081] The noise reduction simulation module is used to select simulation software based on the noise type and source to conduct noise reduction simulation experiments until the simulation effect reaches the expected level, and then to sample the noise reduction product.
[0082] Optionally, the noise acquisition device includes a smartphone; the noise signal processing device includes a computer.
[0083] Optionally, the wireless transmission method includes Bluetooth transmission.
[0084] Optionally, the noise signal analysis module analyzes the noise signal to determine the noise type and source corresponding to the noise signal, including:
[0085] S21. Perform Bass filtering on the time-domain signal of the noise signal using Matlab software;
[0086] S22. Convert the filtered time-domain signal into a frequency-domain signal using Fourier transform;
[0087] S23. Perform A / B / C weighting and correction on the frequency domain signal, and obtain the spectrum of the noise signal;
[0088] S24. Obtain the noise type based on the spectrum diagram, and determine the noise source by combining multibody dynamics simulation analysis.
[0089] Optionally, the noise type includes vibration noise and aerodynamic noise.
[0090] It is understood that the wireless low-cost rapid noise detection and noise reduction analysis system provided in this embodiment of the invention corresponds to the wireless low-cost rapid noise detection and noise reduction analysis method described above. The explanations, examples, and beneficial effects of the relevant content can be referred to the corresponding content in the wireless low-cost rapid noise detection and noise reduction analysis method, and will not be repeated here.
[0091] In summary, compared with existing technologies, it has the following beneficial effects:
[0092] 1. This invention first uses noise acquisition equipment to collect noise signals from moving parts at different speeds; then, it analyzes the noise signals to determine the corresponding noise types; finally, based on the noise type, it selects simulation software to conduct noise reduction simulation experiments until the simulation effect reaches the expected level, at which point it stops, and the noise-reduced product is prototyped. The initial signal acquisition cost of this invention is low and convenient to use; the subsequent noise reduction optimization design of the product is confirmed in the simulation software before prototyping, which saves prototyping costs and development time.
[0093] 2. This invention utilizes smartphones to collect noise signals, which is less expensive than existing professional noise collection equipment. Furthermore, no signal transmission line is required during noise signal transmission, enabling rapid noise signal collection without being limited by equipment size or location, thus offering greater flexibility.
[0094] 3. In this invention, Matlab software is used to process noise signals. It has stronger scalability. After A / B / C weighted processing of the noise signal, a frequency domain signal spectrum can be plotted. This spectrum can be compared with the spectrum made by the subsequent improvement scheme to judge the improvement effect. It has strong processing capability and faster signal processing speed.
[0095] 4. In this invention, Matlab software and simulation analysis software work together. After the product noise reduction optimization design changes, the optimization effect can be confirmed in the software first. After verifying that the effect meets the expectations in the software, prototyping can be carried out. The design and development cycle is shorter, the design changes are faster, the software simulation model has higher accuracy, and the prototyping cost is lower.
[0096] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.
[0097] The above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. 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. Such 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. A low-cost, rapid wireless noise detection and denoising analysis method, characterized in that, The method includes: Noise signals of moving parts at different speeds are collected using noise acquisition equipment; The noise acquisition device transmits the acquired noise signal wirelessly to the noise signal processing device for analysis, thereby determining the noise type and source corresponding to the noise signal; Based on the noise type and source, select simulation software to conduct noise reduction simulation experiments until the simulation effect reaches the expected level, then stop and produce a noise reduction product sample. Analyzing the noise signal to determine its type and source includes: S21. Perform Bass filtering on the time-domain signal of the noise signal using Matlab software; S22. Convert the filtered time-domain signal into a frequency-domain signal using Fourier transform; S23. Perform A / B / C weighting and correction on the frequency domain signal, and obtain the spectrum of the noise signal; S24. Obtain the noise type based on the spectrum diagram, and determine the noise source by combining multibody dynamics simulation analysis; wherein, when the motion frequency changes, if the frequency on the spectrum diagram also changes synchronously, the noise type is determined to be vibration noise, and if the frequency on the spectrum diagram remains basically unchanged, the noise type is determined to be aerodynamic noise.
2. The method as described in claim 1, characterized in that, The noise acquisition device includes a smartphone; the noise signal processing device includes a computer.
3. The method as described in claim 1, characterized in that, The wireless transmission method includes Bluetooth transmission.
4. The method as described in claim 1, characterized in that, The noise types include vibration noise and aerodynamic noise.
5. A wireless, low-cost, rapid noise detection and reduction analysis system, characterized in that, The system includes: The noise signal acquisition module is used to acquire noise signals of moving parts at different speeds using noise acquisition equipment. The noise signal analysis module is used by the noise acquisition device to transmit the acquired noise signal to the noise signal processing device via wireless transmission for analysis, and to determine the noise type and source corresponding to the noise signal. The noise reduction simulation module is used to select simulation software based on the noise type and source to conduct noise reduction simulation experiments until the simulation effect reaches the expected level, and then to sample the noise reduction product. Analyzing the noise signal to determine its type and source includes: S21. Perform Bass filtering on the time-domain signal of the noise signal using Matlab software; S22. Convert the filtered time-domain signal into a frequency-domain signal using Fourier transform; S23. Perform A / B / C weighting and correction on the frequency domain signal, and obtain the spectrum of the noise signal; S24. Obtain the noise type based on the spectrum diagram, and determine the noise source by combining multibody dynamics simulation analysis; wherein, when the motion frequency changes, if the frequency on the spectrum diagram also changes synchronously, the noise type is determined to be vibration noise, and if the frequency on the spectrum diagram remains basically unchanged, the noise type is determined to be aerodynamic noise.
6. The system as described in claim 5, characterized in that, The noise acquisition device includes a smartphone; the noise signal processing device includes a computer.
7. The system as described in claim 5, characterized in that, The wireless transmission method includes Bluetooth transmission.
8. The system as described in claim 5, characterized in that, The noise types include vibration noise and aerodynamic noise.