CN114299990A - Method and system for controlling abnormal sound identification and audio injection of range hood - Google Patents
Method and system for controlling abnormal sound identification and audio injection of range hood Download PDFInfo
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Abstract
The invention provides a method and a system for controlling abnormal sound identification and audio injection of a range hood, wherein the method comprises the following steps: acquiring a target sound signal generated by the target range hood during operation; performing wavelet packet decomposition on the target sound signal based on wavelet packet analysis to obtain a target feature vector; judging whether the target sound signal is abnormal noise or not based on the ratio between the preset feature vector and the target feature vector; if so, determining a target regulating sound corresponding to the target characteristic vector in a preset regulating sound database, and masking the target sound signal by playing the target regulating sound; the preset control sound database comprises a plurality of control sounds, and each control sound corresponds to a characteristic vector range. The invention solves the technical problems that the abnormal sound can not be effectively identified and the noise reduction treatment can not be carried out aiming at the generated abnormal sound in the prior art.
Description
Technical Field
The invention relates to the technical field of range hood control, in particular to a method and a system for controlling abnormal sound identification and audio injection of a range hood.
Background
With the popularization and development of intelligent technologies, more and more kitchen heat products pursue intellectualization and high-end. The performance of the range hood, as a member of household appliances closely related to the life of people, has gradually become a key point of attention of people. At present, the range hood in the prior art cannot effectively identify the abnormal sound and can not perform noise reduction treatment on the generated abnormal sound because other abnormal sound characteristics such as buzzing and the like can be generated due to uncertain factors in the operation process of the range hood.
Disclosure of Invention
In view of the above, the present invention provides a method and a system for controlling abnormal sound recognition and audio injection of a range hood, so as to solve the technical problems in the prior art that the abnormal sound cannot be effectively recognized and the noise reduction processing cannot be performed on the generated abnormal sound.
In a first aspect, an embodiment of the present invention provides a method for controlling abnormal sound identification and audio injection of a range hood, including: acquiring a target sound signal generated by the target range hood during operation; the target sound signal comprises a target sound frequency spectrum signal and a target vibration signal; performing wavelet packet decomposition on the target sound signal based on wavelet packet analysis to obtain a target feature vector; the target feature vector comprises a target sound frequency spectrum peak value and a target vibration amplitude; judging whether the target sound signal is abnormal noise or not based on the ratio of a preset feature vector to the target feature vector; if so, determining a target regulating sound corresponding to the target characteristic vector in a preset regulating sound database, and masking the target sound signal by playing the target regulating sound; the preset control sound database comprises a plurality of control sounds, and each control sound corresponds to a characteristic vector range.
Further, the method further comprises: acquiring a background sound signal generated by the target range hood during normal operation; the background sound signal comprises a background sound frequency spectrum signal and a background vibration signal; performing wavelet packet decomposition on the background sound signal based on wavelet packet analysis to obtain the preset feature vector; the preset feature vector comprises a preset sound frequency spectrum peak value and a preset vibration amplitude value.
Further, the preset feature vector comprises a preset sound frequency spectrum peak value and a preset vibration amplitude value; judging whether the target sound signal is abnormal noise or not based on the ratio between a preset feature vector and the target feature vector, wherein the judging step comprises the following steps: judging whether the ratio of the preset sound spectrum peak value to the target sound spectrum peak value is smaller than a first preset threshold value or not; if yes, determining that the target sound signal is abnormal noise; if not, judging whether the ratio of the preset vibration amplitude to the target vibration amplitude is smaller than a second preset threshold value or not; if yes, determining that the target sound signal is abnormal noise.
Further, the method further comprises: and if the ratio of the preset sound spectrum peak value to the target sound spectrum peak value is greater than or equal to the first preset threshold value, and the ratio of the preset vibration amplitude to the target vibration amplitude is greater than or equal to the second preset threshold value, determining that the target sound signal is a normal sound signal.
In a second aspect, an embodiment of the present invention further provides a control system for abnormal sound identification and audio injection of a range hood, including: the device comprises an acquisition module, an analysis module, a judgment module and a playing module; the acquisition module is used for acquiring a target sound signal generated by the target range hood during operation; the target sound signal comprises a target sound frequency spectrum signal and a target vibration signal; the analysis module is used for carrying out wavelet packet decomposition on the target sound signal based on wavelet packet analysis to obtain a target feature vector; the target feature vector comprises a target sound frequency spectrum peak value and a target vibration amplitude; the judging module is used for judging whether the target sound signal is abnormal noise or not based on the ratio between a preset feature vector and the target feature vector; the playing module is used for determining a target regulating and controlling sound corresponding to the target characteristic vector in a preset regulating and controlling sound database if the target sound signal is abnormal noise, and masking the target sound signal by playing the target regulating and controlling sound; the preset control sound database comprises a plurality of control sounds, and each control sound corresponds to a characteristic vector range.
Further, the obtaining module is further configured to: acquiring a background sound signal generated by the target range hood during normal operation; the background sound signal comprises a background sound frequency spectrum signal and a background vibration signal; performing wavelet packet decomposition on the background sound signal based on wavelet packet analysis to obtain the preset feature vector; the preset feature vector comprises a preset sound frequency spectrum peak value and a preset vibration amplitude value.
Further, the preset feature vector comprises a preset sound frequency spectrum peak value and a preset vibration amplitude value; the judging module is further configured to: judging whether the ratio of the preset sound spectrum peak value to the target sound spectrum peak value is smaller than a first preset threshold value or not; if yes, determining that the target sound signal is abnormal noise; if not, judging whether the ratio of the preset vibration amplitude to the target vibration amplitude is smaller than a second preset threshold value or not; if yes, determining that the target sound signal is abnormal noise.
Further, the determining module is further configured to: and if the ratio of the preset sound spectrum peak value to the target sound spectrum peak value is greater than or equal to the first preset threshold value, and the ratio of the preset vibration amplitude to the target vibration amplitude is greater than or equal to the second preset threshold value, determining that the target sound signal is a normal sound signal.
In a third aspect, an embodiment of the present invention further provides an electronic device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor implements the steps of the method according to the first aspect when executing the computer program.
In a fourth aspect, the present invention further provides a computer-readable medium having non-volatile program code executable by a processor, where the program code causes the processor to execute the method according to the first aspect.
The invention provides a method and a system for controlling abnormal sound identification and audio injection of a range hood, wherein a sound signal generated when a target range hood operates is processed by a wavelet packet analysis method to obtain a target characteristic vector, whether the sound signal is abnormal noise is judged by setting a preset characteristic vector, and proper regulation and control sound is selected to mask the abnormal noise, so that the technical effects of reducing noise interference of the range hood and improving sound quality can be achieved, and the technical problems that the abnormal sound cannot be effectively identified and the noise reduction cannot be performed on the generated abnormal sound in the prior art are solved.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a flowchart of a control method for abnormal sound identification and audio injection of a range hood according to an embodiment of the present invention;
fig. 2 is a schematic diagram of a control system for abnormal sound identification and audio injection of a range hood according to an embodiment of the present invention;
fig. 3 is a schematic diagram of another control system for abnormal sound identification and audio injection of a range hood according to an embodiment of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the accompanying drawings, and it should be understood that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The first embodiment is as follows:
fig. 1 is a flowchart of a method for controlling abnormal sound recognition and audio injection of a range hood according to an embodiment of the present invention. As shown in fig. 1, the method specifically includes the following steps:
step S102, acquiring a target sound signal generated when the target range hood operates; the target sound signal includes a target sound spectrum signal and a target vibration signal.
Optionally, the target sound spectrum signal and the target vibration signal of the target range hood during operation are detected by a sound sensor and a piezoelectric sound vibration sensor mounted on the target range hood.
Step S104, performing wavelet packet decomposition on the target sound signal based on wavelet packet analysis to obtain a target feature vector; the target feature vector includes a target sound spectral peak and a target vibration amplitude.
Specifically, wavelet packet decomposition is performed on the target sound signal based on a wavelet packet analysis theory, and then a target feature vector can be extracted through a neural network algorithm.
And step S106, judging whether the target sound signal is abnormal noise or not based on the ratio of the preset feature vector to the target feature vector.
Step S108, if the target sound signal is abnormal noise, determining a target regulation sound corresponding to the target characteristic vector in a preset regulation sound database, and masking the target sound signal by playing the target regulation sound; the preset control sound database comprises a plurality of control sounds, and each control sound corresponds to a characteristic vector range.
In the embodiment of the invention, a plurality of different types of regulated sounds are stored in a preset regulated sound database in advance, the regulated sounds of the same type comprise different small-type regulated sounds, for example, different water flow sounds (types) such as stream, waterfall, spring water (small types) and the like can be stored, the number of small-type sound samples of the same type is more than 5, and then each small-type regulated sound corresponds to a characteristic vector range. And after the target sound signal is determined to be abnormal noise, selecting the corresponding regulation and control sound according to the corresponding relation in the preset regulation and control sound database and the characteristic vector of the target sound signal, and realizing the masking effect on the target sound signal by playing the regulation and control sound so as to achieve the technical effect of weakening the noise.
The invention provides a control method for abnormal sound identification and audio injection of a range hood, which comprises the steps of processing a sound signal generated when a target range hood operates by a wavelet packet analysis method to obtain a target characteristic vector, judging whether the sound signal is abnormal noise or not by setting a preset characteristic vector, and masking the abnormal noise by selecting proper regulation and control sound, so that the technical effects of reducing noise interference of the range hood and improving sound quality can be achieved, and the technical problems that the abnormal sound cannot be effectively identified and the noise reduction processing cannot be performed on the generated abnormal sound in the prior art are solved.
Optionally, in the embodiment of the present invention, the method further includes a step of setting a preset feature vector, and specifically includes the following steps:
acquiring a background sound signal generated by the target range hood during normal operation; the background sound signal comprises a background sound frequency spectrum signal and a background vibration signal;
carrying out wavelet packet decomposition on the background sound signal based on wavelet packet analysis to obtain a preset feature vector; the preset feature vector comprises a preset sound frequency spectrum peak value and a preset vibration amplitude value.
Specifically, step S106 further includes the following steps:
step S1061, judging whether the ratio of the preset sound spectrum peak value to the target sound spectrum peak value is smaller than a first preset threshold value; if yes, go to step S1062; if not, step S1063 is performed.
In step S1062, the target sound signal is determined to be abnormal noise.
Step S1063, judging whether the ratio of the preset vibration amplitude to the target vibration amplitude is smaller than a second preset threshold value; if yes, go to step S1064; if not, step S1065 is performed.
In step S1064, the target sound signal is determined to be abnormal noise.
In step S1065, the target sound signal is determined to be a normal sound signal.
Optionally, in the embodiment of the present invention, the sound spectrum peak value and the vibration amplitude corresponding to the range hood when different abnormal noises are generated are collected and recorded as Ln and Kn, respectively, and the generated abnormal sound signal feature vector is compared with the feature vector of the signal generated under the normal operation of the range hood for analysis, and the features of the abnormal sound signal feature vector are recorded, so as to provide a data comparison basis for the subsequent determination threshold, and further determine the first preset threshold and the second preset threshold. For example, if the first preset threshold is set to 0.9 and the second preset threshold is set to 1, the process of determining whether the target sound signal is abnormal noise may be as shown in table 1:
TABLE 1 determination of abnormal noise
L0 in the table is the preset sound spectrum peak value, LP is the target sound spectrum peak value, K0 is the preset vibration amplitude, KP is the target vibration amplitude.
From the above description, the embodiment of the invention provides a control method for abnormal sound identification and audio injection of a range hood, and aims to solve the problem that most methods for analyzing abnormal noise in the prior art mainly depend on human experience to judge the analysis mode and lack effective and scientific theoretical methods to guide research bases; the method plays and controls the sound masking abnormal sound by using an audio injection mode, thereby reducing noise and improving sound quality; the technical problems that abnormal sounds cannot be effectively identified and noise reduction processing cannot be carried out on the generated abnormal sounds in the prior art are solved.
Example two:
fig. 2 is a schematic diagram of a control system for abnormal sound identification and audio injection of a range hood according to an embodiment of the present invention. As shown in fig. 2, the system includes: the system comprises an acquisition module 10, an analysis module 20, a judgment module 30 and a playing module 40.
The acquisition module 10 is used for acquiring a target sound signal generated by the target range hood during operation; the target sound signal includes a sound spectrum signal and a vibration signal.
The analysis module 20 is configured to perform wavelet packet decomposition on the target sound signal based on wavelet packet analysis to obtain a target feature vector; the target feature vector includes a sound spectral peak and a vibration amplitude.
And the judging module 30 is configured to judge whether the target sound signal is an abnormal noise based on a ratio between the preset feature vector and the target feature vector.
The playing module 40 is configured to determine a target modulation sound corresponding to the target feature vector in a preset modulation sound database if the target sound signal is an abnormal noise, and mask the target sound signal by playing the target modulation sound; the preset control sound database comprises a plurality of control sounds, and each control sound corresponds to a characteristic vector range.
The invention provides a control system for abnormal sound identification and audio injection of a range hood, which processes a sound signal generated when a target range hood operates by a wavelet packet analysis method to obtain a target characteristic vector, judges whether the sound signal is abnormal noise or not by setting a preset characteristic vector, and masks the abnormal noise by selecting proper regulating and controlling sound, so that the technical effects of reducing noise interference of the range hood and improving sound quality can be achieved, and the technical problems that the abnormal sound cannot be effectively identified and the noise reduction processing cannot be performed on the generated abnormal sound in the prior art are solved.
Optionally, the obtaining module 10 is further configured to:
acquiring a background sound signal generated by the target range hood during normal operation; the background sound signal comprises a background sound frequency spectrum signal and a background vibration signal;
carrying out wavelet packet decomposition on the background sound signal based on wavelet packet analysis to obtain a preset feature vector; the preset feature vector comprises a preset sound frequency spectrum peak value and a preset vibration amplitude value.
Optionally, the determining module 30 is further configured to:
judging whether the ratio of the preset sound spectrum peak value to the target sound spectrum peak value is smaller than a first preset threshold value or not; if yes, determining that the target sound signal is abnormal noise;
if not, judging whether the ratio of the preset vibration amplitude to the vibration amplitude is smaller than a second preset threshold value or not; if so, the target sound signal is determined to be abnormal noise.
Optionally, the determining module 30 is further configured to:
and if the ratio of the preset sound spectrum peak value to the target sound spectrum peak value is greater than or equal to a first preset threshold value, and the ratio of the preset vibration amplitude value to the vibration amplitude value is greater than or equal to a second preset threshold value, determining that the target sound signal is a normal sound signal.
Example three:
fig. 3 is a schematic diagram of another control system for abnormal sound identification and audio injection of a range hood according to an embodiment of the present invention. As shown in fig. 3, the system includes a wavelet packet analysis module, an audio injection module, an audio playback module, a vibration receiver, and a noise sensor.
Specifically, as shown in fig. 3, the wavelet packet analysis module and the audio injection module are integrally installed on the integrated panel of the range hood, the wavelet packet analysis module is respectively connected to the audio injection module, the noise sensor and the vibration receiver, and the audio injection module is connected to the audio playing module.
Wherein, the noise sensor and the vibration receiver are integrally arranged at the upper part of the inner shell of the range hood, and the other three sides are arranged. The audio playing module is in a cuboid shape at four bottom corners of the top.
Specifically, a neural network algorithm is built in the wavelet packet analysis module, and vibration amplitude and noise peak values of sound in time domain and frequency domain analysis states are mainly collected as main feature vectors.
Most audible sound frequencies, such as natural sound of water flow, rain, wind and various artificial synthetic sound frequencies of musical instruments such as piano and guitar, are integrated in the audio injection module, and each sound frequency corresponds to different vibration peak values and noise peak value characteristics.
Audio playback module includes the speaker, and the speaker setting is installed on four angles in the top of range hood, is the cuboid shape, and the sound diffusion direction all is towards the outside.
The vibration receiver is a piezoelectric sound vibration sensor, is arranged on the periphery of the inner wall of the range hood and is used for detecting the vibration amplitude.
The noise sensor is arranged on one side of the vibration receiver and used for collecting a noise frequency spectrum generated by the operation of the range hood.
Firstly, based on a wavelet packet theory, acquiring vibration amplitude and noise peak value of a cigarette machine in normal operation through a neural network algorithm as characteristic vectors, recording the characteristic vectors as L0 and K0, storing the characteristic vectors into a module, simultaneously recording vibration amplitude and noise peak value signals of different abnormal sounds generated by the cigarette machine based on an equivalent method, respectively and sequentially recording the vibration amplitude and noise peak value signals as L1-Ln and K1-Kn, comparing the recorded abnormal sound characteristic vectors Ln and Kn with L0 and K0 respectively, determining a threshold judgment condition based on the comparison result, and setting the threshold judgment condition into a built-in core module;
when the cigarette machine runs, the vibration characteristics of the structure of the cigarette machine are collected through a vibration receiver arranged on an inner shell of the cigarette machine, the generated noise value is collected in real time through a noise sensor, the collected information is transmitted to a wavelet packet analysis module, the wavelet packet analysis module extracts signals in the wavelet packet analysis module, mainly the noise peak value LP and the vibration amplitude value KP, the two signal characteristic vectors are decomposed and extracted step by step and are analyzed and compared with built-in initial values L0 and K0;
comparing and analyzing the collected characteristic vector signal values of the LP and the KP with the initial values one by one, and judging that no abnormal sound is generated when the ratio of L0/LP is more than or equal to 0.9 and K0/KP > is equal to 1; otherwise, the abnormal sound is judged to appear, the wavelet packet analysis module transmits the signal characteristics to the audio injection module, a control program in the audio injection module plays the regulation and control sound (such as flowing water sound, musical instrument sound, bird sound and the like) with corresponding characteristics according to the signal characteristics, the audio injection module transmits the selected regulation and control sound signals to the audio playing module, the speaker in the audio playing module positioned at the top of the cigarette machine plays the regulation and control sound selected, the regulation and control sound masks the generated abnormal sound in a time domain or a frequency domain, the operation noise of the cigarette machine is reduced, the probability that the abnormal sound enters human ears is greatly weakened, the interference of the abnormal sound to the body and mind of people is reduced, and the sound quality of the operation of the cigarette machine is improved.
The embodiment of the present invention further provides an electronic device, which includes a memory, a processor, and a computer program stored in the memory and capable of running on the processor, and when the processor executes the computer program, the steps of the method in the first embodiment are implemented.
The embodiment of the invention also provides a computer readable medium with a non-volatile program code executable by a processor, wherein the program code causes the processor to execute the method in the first embodiment.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (10)
1. A method for controlling abnormal sound identification and audio injection of a range hood is characterized by comprising the following steps:
acquiring a target sound signal generated by the target range hood during operation; the target sound signal comprises a target sound frequency spectrum signal and a target vibration signal;
performing wavelet packet decomposition on the target sound signal based on wavelet packet analysis to obtain a target feature vector; the target feature vector comprises a target sound frequency spectrum peak value and a target vibration amplitude;
judging whether the target sound signal is abnormal noise or not based on the ratio of a preset feature vector to the target feature vector;
if so, determining a target regulating sound corresponding to the target characteristic vector in a preset regulating sound database, and masking the target sound signal by playing the target regulating sound; the preset control sound database comprises a plurality of control sounds, and each control sound corresponds to a characteristic vector range.
2. The method of claim 1, further comprising:
acquiring a background sound signal generated by the target range hood during normal operation; the background sound signal comprises a background sound frequency spectrum signal and a background vibration signal;
performing wavelet packet decomposition on the background sound signal based on wavelet packet analysis to obtain the preset feature vector; the preset feature vector comprises a preset sound frequency spectrum peak value and a preset vibration amplitude value.
3. The method of claim 1, wherein the preset eigenvector comprises a preset sound spectral peak value and a preset vibration amplitude value; judging whether the target sound signal is abnormal noise or not based on the ratio between a preset feature vector and the target feature vector, wherein the judging step comprises the following steps:
judging whether the ratio of the preset sound spectrum peak value to the target sound spectrum peak value is smaller than a first preset threshold value or not; if yes, determining that the target sound signal is abnormal noise;
if not, judging whether the ratio of the preset vibration amplitude to the target vibration amplitude is smaller than a second preset threshold value or not; if yes, determining that the target sound signal is abnormal noise.
4. The method of claim 3, further comprising:
and if the ratio of the preset sound spectrum peak value to the target sound spectrum peak value is greater than or equal to the first preset threshold value, and the ratio of the preset vibration amplitude to the target vibration amplitude is greater than or equal to the second preset threshold value, determining that the target sound signal is a normal sound signal.
5. The utility model provides a control system that abnormal sound discernment and audio frequency of range hood pour into, its characterized in that includes: the device comprises an acquisition module, an analysis module, a judgment module and a playing module; wherein,
the acquisition module is used for acquiring a target sound signal generated by the target range hood during operation; the target sound signal comprises a target sound frequency spectrum signal and a target vibration signal;
the analysis module is used for carrying out wavelet packet decomposition on the target sound signal based on wavelet packet analysis to obtain a target feature vector; the target feature vector comprises a target sound frequency spectrum peak value and a target vibration amplitude;
the judging module is used for judging whether the target sound signal is abnormal noise or not based on the ratio between a preset feature vector and the target feature vector;
the playing module is used for determining a target regulating and controlling sound corresponding to the target characteristic vector in a preset regulating and controlling sound database if the target sound signal is abnormal noise, and masking the target sound signal by playing the target regulating and controlling sound; the preset control sound database comprises a plurality of control sounds, and each control sound corresponds to a characteristic vector range.
6. The system of claim 5, wherein the obtaining module is further configured to:
acquiring a background sound signal generated by the target range hood during normal operation; the background sound signal comprises a background sound frequency spectrum signal and a background vibration signal;
performing wavelet packet decomposition on the background sound signal based on wavelet packet analysis to obtain the preset feature vector; the preset feature vector comprises a preset sound frequency spectrum peak value and a preset vibration amplitude value.
7. The system of claim 5, wherein the preset eigenvector comprises a preset sound spectral peak and a preset vibration amplitude; the judging module is further configured to:
judging whether the ratio of the preset sound spectrum peak value to the target sound spectrum peak value is smaller than a first preset threshold value or not; if yes, determining that the target sound signal is abnormal noise;
if not, judging whether the ratio of the preset vibration amplitude to the target vibration amplitude is smaller than a second preset threshold value or not; if yes, determining that the target sound signal is abnormal noise.
8. The system of claim 7, wherein the determining module is further configured to:
and if the ratio of the preset sound spectrum peak value to the target sound spectrum peak value is greater than or equal to the first preset threshold value, and the ratio of the preset vibration amplitude to the target vibration amplitude is greater than or equal to the second preset threshold value, determining that the target sound signal is a normal sound signal.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the steps of the method of any of the preceding claims 1 to 4 are implemented when the computer program is executed by the processor.
10. A computer-readable medium having non-volatile program code executable by a processor, wherein the program code causes the processor to perform the method of any of claims 1-4.
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