CN113847706A - Detection method for air supply device and air supply device - Google Patents
Detection method for air supply device and air supply device Download PDFInfo
- Publication number
- CN113847706A CN113847706A CN202111128654.9A CN202111128654A CN113847706A CN 113847706 A CN113847706 A CN 113847706A CN 202111128654 A CN202111128654 A CN 202111128654A CN 113847706 A CN113847706 A CN 113847706A
- Authority
- CN
- China
- Prior art keywords
- frequency domain
- air supply
- supply device
- frequency
- detection method
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/30—Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring
- F24F11/32—Responding to malfunctions or emergencies
- F24F11/39—Monitoring filter performance
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/50—Control or safety arrangements characterised by user interfaces or communication
- F24F11/52—Indication arrangements, e.g. displays
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/50—Control or safety arrangements characterised by user interfaces or communication
- F24F11/52—Indication arrangements, e.g. displays
- F24F11/526—Indication arrangements, e.g. displays giving audible indications
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
- F24F11/63—Electronic processing
- F24F11/64—Electronic processing using pre-stored data
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F7/00—Ventilation
- F24F7/003—Ventilation in combination with air cleaning
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F7/00—Ventilation
- F24F7/04—Ventilation with ducting systems, e.g. by double walls; with natural circulation
- F24F7/06—Ventilation with ducting systems, e.g. by double walls; with natural circulation with forced air circulation, e.g. by fan positioning of a ventilator in or against a conduit
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F8/00—Treatment, e.g. purification, of air supplied to human living or working spaces otherwise than by heating, cooling, humidifying or drying
- F24F8/10—Treatment, e.g. purification, of air supplied to human living or working spaces otherwise than by heating, cooling, humidifying or drying by separation, e.g. by filtering
Landscapes
- Engineering & Computer Science (AREA)
- Chemical & Material Sciences (AREA)
- Combustion & Propulsion (AREA)
- Mechanical Engineering (AREA)
- General Engineering & Computer Science (AREA)
- Signal Processing (AREA)
- Human Computer Interaction (AREA)
- Physics & Mathematics (AREA)
- Fuzzy Systems (AREA)
- Mathematical Physics (AREA)
- Air Conditioning Control Device (AREA)
Abstract
The invention discloses a detection method of an air supply device and the air supply device, wherein the detection method comprises the following steps: driving a fan of the air supply device to rotate at a test rotating speed, and acquiring an audio signal sent by the air supply device; acquiring a first frequency domain characteristic of the audio signal; carrying out similarity measurement on the first frequency domain characteristic and a preset second frequency domain characteristic, wherein the second frequency domain characteristic is a frequency domain characteristic of the fan running at the test rotating speed when the air supply device is in an abnormal working state; and feeding back abnormal working state information corresponding to the second frequency domain characteristic based on the similarity degree of the first frequency domain characteristic and the second frequency domain characteristic being greater than or equal to a preset degree. The technical scheme provided by the invention aims to solve the technical problem that the abnormal work of the filter screen in the fresh air machine or the air conditioner is difficult to detect in the prior art.
Description
Technical Field
The invention relates to the field of electrical equipment, in particular to a detection method of an air supply device and the air supply device.
Background
At present, users have higher and higher requirements for air quality, and a plurality of families use a fresh air blower or an air conditioner with a fresh air function to circulate indoor air and outdoor air so as to keep the indoor air fresh. The filter screen of the fresh air machine or the air conditioner is easily blocked by dust, and the user may forget to tear off the protective film on the filter screen when installing the filter screen, so that the wind path of the fresh air machine or the air conditioner is not smooth.
Disclosure of Invention
The invention mainly aims to provide a detection method of an air supply device and the air supply device, and aims to solve the technical problem that the abnormal work of a filter screen in a fresh air machine or an air conditioner in the prior art is difficult to detect.
In order to achieve the above object, a detection method of an air supply device according to an embodiment of the present invention includes:
driving a fan of the air supply device to rotate at a test rotating speed, and acquiring an audio signal sent by the air supply device;
acquiring a first frequency domain characteristic of the audio signal;
carrying out similarity measurement on the first frequency domain characteristic and a preset second frequency domain characteristic, wherein the second frequency domain characteristic is a frequency domain characteristic of the fan running at the test rotating speed when the air supply device is in an abnormal working state;
and feeding back abnormal working state information corresponding to the second frequency domain characteristic based on the similarity degree of the first frequency domain characteristic and the second frequency domain characteristic being greater than or equal to a preset degree.
In one exemplary embodiment, the first frequency-domain feature and the second frequency-domain feature are audio spectral features, LSP line spectral pair parameters, or mel-frequency cepstral coefficients.
In one illustrative embodiment, the first frequency-domain feature and the second frequency-domain feature are both audio spectral features;
obtaining a first frequency domain feature of the audio signal, comprising:
and carrying out fast Fourier transform on the audio signal to obtain the audio frequency spectrum characteristic of the audio signal.
In an exemplary embodiment, the similarity measure between the first frequency-domain feature and the preset second frequency-domain feature uses a distance function or a similarity coefficient function.
In an exemplary embodiment, the distance function is a euclidean distance.
In an exemplary embodiment, the air supply device has a plurality of abnormal operating states, the second frequency domain features have a plurality, and the plurality of second frequency domain features correspond to the plurality of abnormal operating states one by one;
when similarity measurement is carried out on the first frequency domain features and preset second frequency domain features, the similarity degree of the first frequency domain features and each second frequency domain feature is obtained;
and when the similarity degree of any one second frequency domain characteristic and the first frequency domain characteristic is more than a preset degree, feeding back abnormal working state information corresponding to the second frequency domain characteristic.
In an exemplary embodiment, the plurality of abnormal operating states are respectively that the air supply device is not provided with a filter screen, the filter screen of the air supply device is not provided with a protective film, and the filter screen of the air supply device is blocked by dust.
In an exemplary embodiment, the abnormal operation state information is fed back by displaying an icon or a text corresponding to the abnormal operation state information on a display panel or outputting a prompt voice corresponding to the abnormal operation state information.
The invention also provides an air supply device, which comprises;
the case is provided with a flow passage for air flow to pass through;
the fan is arranged on the flow channel and used for driving the airflow to move along the flow channel;
the filter screen is arranged on the flow passage;
the microphone is used for acquiring an audio signal sent by the air supply device;
and the controller is electrically connected with the microphone and the fan and is configured to execute the detection method.
In an exemplary embodiment, the air supply device is a fresh air blower, an air conditioner, or an air purifier.
When the similarity between the first frequency domain characteristic and the second frequency domain characteristic is more than the preset degree, the audio signal collected by the microphone and the abnormal audio signal corresponding to the second frequency domain characteristic belong to the same type of audio signal, namely, the air supply device is in the abnormal working state corresponding to the second frequency domain characteristic, and the controller feeds back the information of the abnormal working state to the user so that the user knows that the air supply device is in the abnormal working state.
Therefore, the detection method can realize automatic detection of the specific abnormal working state of the air supply device and feed back the detection result to a user, and when the abnormal working state of the air supply device is the abnormal working state of the filter screen of the air supply device, the abnormal working state of the filter screen can be detected on the premise of not opening the air supply device, so that the user can timely maintain the abnormal condition of the air supply device.
Drawings
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, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the structures shown in the drawings without creative efforts.
Fig. 1 is a schematic view of connection between electrical appliances of an air supply device according to an embodiment of the present invention;
fig. 2 is a flowchart of a detection method according to an embodiment of the invention.
The reference numbers illustrate:
| reference numerals | Name (R) | Reference numerals | Name (R) |
| 1 | Microphone (CN) | 2 | |
| 3 | Fan blower |
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. 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.
This embodiment provides an air supply arrangement, and this air supply arrangement can be new fan, have the air conditioner or the air purifier of new trend function. The air supply device comprises: the device comprises a case, a fan 3, a filter screen, a controller 2 and a microphone 1.
The case is provided with an air inlet, an air outlet and a flow passage. One end of the flow passage is connected with the air inlet, and the other end of the flow passage is connected with the air outlet. The fan 3 is disposed on the flow passage. The fan 3 is used for driving airflow in the flow channel, so that the airflow flows from the air inlet to the air outlet. The filter screen is arranged on the flow passage. The filter screen has a plurality of meshes. The filter screen is used for filtering solid impurities in the airflow.
As shown in fig. 1, the controller 2 is electrically connected to the fan 3. The controller 2 may be a controller. The controller 2 can control the start and stop of the fan 3 and the rotating speed of the fan 3. The microphone 1 is electrically connected to the controller 2. The microphone 1 may be mounted on a case. The microphone 1 may be a condenser microphone 1 or an electric microphone 1. The microphone 1 is electrically connected to the controller 2. The microphone 1 is used for collecting an audio signal sent by the air supply device, converting the audio signal into an electric signal by mechanical waves and then sending the electric signal to the controller 2. The controller 2 may store the audio signal in the form of an audio file after receiving the audio signal.
The embodiment also provides a detection method of the air supply device, which is implemented based on the air supply device and comprises the following steps:
step S1: receiving a starting instruction, driving a fan of the air supply device to rotate at a test rotating speed, and acquiring an audio signal sent by the air supply device;
the start instruction may instruct the controller 2 to start detection of whether the operation state of the air blowing device is abnormal. The start instruction may be sent to the controller 2 by a user through a control panel of the air supply device or a remote controller, or may be sent through a mobile terminal, and the mobile terminal and the controller 2 may be connected through a local area network or the internet. The mobile terminal can be a mobile phone or a tablet computer.
The controller 2 drives the fan 3 of the air supply device to rotate after receiving the starting instruction, and the rotating speed of the fan 3 is a preset test rotating speed. After the fan 3 rotates steadily at the testing rotation speed, the controller 2 collects the audio signal sent by the air supply device through the microphone 1. The air supply device usually makes a sound when the fan 3 rotates at a test speed, and the controller 2 records the sound through the microphone 1 to obtain an audio signal. The duration of each recording by the microphone 1 may be a few seconds or a dozen seconds. The audio signal collected by the microphone 1 is typically an analog signal, and the controller 2 converts the audio signal into a digital signal after receiving the audio signal.
The process of the controller 2 converting the audio signal into a digital signal generally includes three steps of sampling, quantizing, and encoding. The sampling step is to replace the original continuous signal in time with the sample value sequence of the signal at regular intervals, i.e. to discretize the analog signal in time. The quantization step is to use a finite number of amplitude values that approximate the original continuous variation to change the continuous amplitude of the analog signal into a finite number of discrete values at certain intervals. The encoding step is to represent the quantized discrete values by binary numbers.
The controller 2 converts the audio signal in the form of an analog signal into a digital signal, which facilitates the logic operation processing of the audio signal by the central processing unit of the controller 2 in the subsequent step, and also facilitates the storage of the audio signal in the form of an audio file.
Step S2: a first frequency domain feature of an audio signal is obtained.
A first frequency domain feature may be extracted from the audio signal. The first frequency domain feature describes a characteristic of the audio signal in terms of frequency. The first frequency domain feature may be an audio spectral feature, an lsp (linear Spectrum pair) line spectral parameter, or a mel-frequency cepstral coefficient.
Step S3: carrying out similarity measurement on the first frequency domain characteristic and a preset second frequency domain characteristic to obtain the similarity degree of the first frequency domain characteristic and the second frequency domain characteristic, wherein the second frequency domain characteristic is the frequency domain characteristic of the fan running at the test rotating speed under the abnormal working state of the air supply device;
this step may be performed directly in the controller 2, or may be performed in a server after the controller 2 uploads the audio signal to the server via a network.
When the fan 3 is driven at the same rotation speed, the sound emitted by the air supply device in the abnormal working state is different from the sound emitted by the air supply device in the normal working state, that is, the audio signal emitted by the air supply device in the abnormal working state is different from the audio signal emitted by the air supply device in the normal working state, and the audio signal emitted by the air supply device in the abnormal working state is an abnormal audio signal. The abnormal operation state may be an abnormal operation of the filter screen, for example, the filter screen is not installed in the air blowing device, the protective film is not removed from the filter screen, or the filter screen of the air blowing device is clogged with dust. And extracting frequency domain characteristics from abnormal audio signals emitted by the air supply device when the air supply device runs at a test rotating speed in an abnormal working state in advance, wherein the frequency domain characteristics are second frequency domain characteristics corresponding to the abnormal working state. The second frequency-domain feature may be an audio spectral feature, an lsp (linear Spectrum pair) line spectral parameter, or a mel-frequency cepstral coefficient, the second frequency-domain feature being of the same kind as the first frequency-domain feature.
And performing similarity measurement on the first frequency-domain feature and the second frequency-domain feature to determine the similarity degree between the first frequency-domain feature and the second frequency-domain feature, wherein the closer the first frequency-domain feature and the second frequency-domain feature are, the higher the similarity degree between the first frequency-domain feature and the second frequency-domain feature is. The similarity measurement method may use a distance function to calculate, where the distance function may be a euclidean distance, and the higher the similarity between the first frequency-domain feature and the second frequency-domain feature is, the smaller the euclidean distance is, and the lower the similarity between the first frequency-domain feature and the second frequency-domain feature is, the larger the euclidean distance is. The similarity measure may also be calculated using a similarity coefficient function, where a higher degree of similarity between the first frequency-domain feature and the second frequency-domain feature approximates the value of the similarity coefficient to 1, and a lower degree of similarity between the first frequency-domain feature and the second frequency-domain feature approximates the value of the similarity coefficient to 0.
Step S4: and feeding back abnormal working state information corresponding to the second frequency domain characteristic based on the similarity degree of the first frequency domain characteristic and the second frequency domain characteristic being greater than or equal to a preset degree.
Whether the similarity between the first frequency domain feature and the second frequency domain feature is greater than a preset degree is judged, which may be whether the euclidean distance between the first frequency domain feature and the second frequency domain feature is smaller than a preset distance, and when the euclidean distance between the first frequency domain feature and the second frequency domain feature is smaller than the preset distance, the similarity between the first frequency domain feature and the second frequency domain feature is considered to be greater than the preset degree. The predetermined distance may be experimentally calibrated.
Whether the similarity degree between the first frequency domain feature and the second frequency domain feature is above a preset degree or not is judged, whether the similarity coefficient value between the first frequency domain feature and the second frequency domain feature is greater than a preset value or not can also be judged, and when the similarity coefficient value between the first frequency domain feature and the second frequency domain feature is greater than the preset value, the similarity degree between the first frequency domain feature and the second frequency domain feature is above the preset degree. This predetermined value can be determined by experiment and is, for example, 0.8.
When the similarity between the first frequency domain feature and the second frequency domain feature is greater than the preset degree, it is determined that the audio signal acquired by the microphone 1 in step S1 and the abnormal audio signal corresponding to the second frequency domain feature belong to the same type of audio signal, that is, the air supply device is in the abnormal operating state corresponding to the second frequency domain feature, and the controller 2 feeds back the abnormal operating state information to the user so that the user knows that the air supply device is in the abnormal operating state.
The controller 2 may display an icon or text message corresponding to the abnormal operation state through the display panel to feed back the abnormal operation state information to the user, or the controller 2 may output a prompt voice corresponding to the abnormal operation state through the speaker to feed back the abnormal operation state information to the user.
Therefore, the detection method can realize automatic detection of the specific abnormal working state of the air supply device and feed back the detection result to the user, so that the user can maintain the abnormal condition of the air supply device in time.
In an exemplary embodiment, the air supply device has a plurality of abnormal operating states, for example, the plurality of abnormal operating states are that the air supply device is not provided with a filter screen, the filter screen of the air supply device is not provided with a protective film, and the filter screen of the air supply device is blocked by dust.
The second frequency domain features are provided in plurality, and the second frequency domain features are the same as the number of the abnormal working states of the air supply device. The second frequency domain characteristics correspond to abnormal operating states one to one. A plurality of second frequency-domain features may be combined into a frequency-domain feature library.
In step S3, performing similarity measurement on the first frequency-domain feature and each second frequency-domain feature respectively;
and carrying out similarity measurement on each second frequency domain feature in the frequency domain feature library and the first frequency domain feature in sequence to obtain the similarity degree of the first frequency domain feature and each preset second frequency domain feature.
In step S4, when the similarity between any one of the second frequency domain features and the first frequency domain feature is greater than or equal to the preset degree, the abnormal operation state information corresponding to the second frequency domain feature is fed back.
And comparing each obtained similarity with a preset degree in sequence, and feeding back abnormal working state information corresponding to any one second frequency domain characteristic if the similarity between the second frequency domain characteristic and the first frequency domain characteristic reaches above the preset degree.
Therefore, a plurality of specific abnormal working states can be automatically detected, and the detection result is fed back to the user, so that the user can timely maintain the abnormal condition of the air supply device.
In an exemplary embodiment, the first frequency-domain feature and the second frequency-domain feature are both audio spectral features.
The complex oscillation in the audio signal is decomposed into harmonic oscillations with different amplitudes and different frequencies, and the pattern of the amplitude values of the harmonic oscillations arranged according to the frequency is called audio frequency spectrum characteristics.
Step S2 includes: the audio signal is subjected to a fast fourier transform to obtain audio spectral features of the audio signal.
Fast Fourier Transform (FFT) is a generic name for an efficient and fast computational method that utilizes a computer to compute a Discrete Fourier Transform (DFT), referred to as FFT. The audio signal can be transformed into audio frequency spectrum characteristics by using a fast Fourier transform algorithm. The calculation amount of the fast Fourier transform is small, real-time processing of the audio signal can be realized by combining high-speed hardware, and the calculation is faster.
In an exemplary embodiment, the air supply device is an air conditioner with a fresh air function, and the microphone 1 wakes up only when the fresh air function of the air supply device is turned on, and is in a sleep state for the rest of time.
The microphone 1 is only awakened to work when the fresh air function of the air supply device is started, so that electricity can be saved and the service life of the microphone can be prolonged.
It should be noted that all the directional indicators (such as up, down, left, right, front, and rear … …) in the embodiment of the present invention are only used to explain the relative position relationship between the components, the movement situation, etc. in a specific posture (as shown in the drawing), and if the specific posture is changed, the directional indicator is changed accordingly.
In addition, the descriptions related to "first", "second", etc. in the present invention are only for descriptive purposes and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present invention, "a plurality" means at least two, e.g., two, three, etc., unless specifically limited otherwise.
In the present invention, unless otherwise expressly stated or limited, the terms "connected," "secured," and the like are to be construed broadly, and for example, "secured" may be a fixed connection, a removable connection, or an integral part; can be mechanically or electrically connected; they may be directly connected or indirectly connected through intervening media, or they may be connected internally or in any other suitable relationship, unless expressly stated otherwise. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
In addition, the technical solutions in the embodiments of the present invention may be combined with each other, but it must be based on the realization of those skilled in the art, and when the technical solutions are contradictory or cannot be realized, such a combination of technical solutions should not be considered to exist, and is not within the protection scope of the present invention.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the scope of the present invention, and all modifications and equivalents of the present invention, which are made by the contents of the present specification and the accompanying drawings, or directly/indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (11)
1. A detection method of an air supply device is characterized by comprising the following steps:
driving a fan of the air supply device to rotate at a test rotating speed, and acquiring an audio signal sent by the air supply device;
acquiring a first frequency domain characteristic of the audio signal;
carrying out similarity measurement on the first frequency domain characteristic and a preset second frequency domain characteristic, wherein the second frequency domain characteristic is a frequency domain characteristic of the fan running at the test rotating speed when the air supply device is in an abnormal working state;
and feeding back abnormal working state information corresponding to the second frequency domain characteristic based on the similarity degree of the first frequency domain characteristic and the second frequency domain characteristic being greater than or equal to a preset degree.
2. The detection method according to claim 1, wherein the first and second frequency-domain features are audio spectral features, LSP line spectral pair parameters, or mel-frequency cepstral coefficients.
3. The detection method of claim 1, wherein the first frequency-domain feature and the second frequency-domain feature are both audio spectral features;
obtaining a first frequency domain feature of the audio signal, comprising:
and carrying out fast Fourier transform on the audio signal to obtain the audio frequency spectrum characteristic of the audio signal.
4. The detection method according to claim 1, wherein the similarity measure between the first frequency-domain feature and the preset second frequency-domain feature is a distance function or a similarity coefficient function.
5. The detection method according to claim 4, wherein the distance function is Euclidean distance.
6. The detection method according to any one of claims 1 to 5, wherein the abnormal operation state is an abnormal operation of a filter screen of the air supply device.
7. The detection method according to any one of claims 1 to 5, wherein the air supply device has a plurality of abnormal operating states, the second frequency domain features have a plurality of, and the plurality of second frequency domain features correspond one-to-one to the plurality of abnormal operating states;
when similarity measurement is carried out on the first frequency domain features and preset second frequency domain features, the similarity degree of the first frequency domain features and each second frequency domain feature is obtained;
and when the similarity degree of any one second frequency domain characteristic and the first frequency domain characteristic is more than a preset degree, feeding back abnormal working state information corresponding to the second frequency domain characteristic.
8. The detection method according to claim 7, wherein the plurality of abnormal operating states are respectively that the filter screen of the air supply device is not installed, the protective film of the filter screen of the air supply device is not removed, and the filter screen of the air supply device is clogged with dust.
9. The detection method according to any one of claims 1 to 5, wherein the abnormal operation state information is fed back by displaying an icon or a character corresponding to the abnormal operation state information on a display panel or outputting a prompt voice corresponding to the abnormal operation state information.
10. An air supply device is characterized by comprising;
the case is provided with a flow passage for air flow to pass through;
the fan is arranged on the flow channel and used for driving the airflow to move along the flow channel;
the filter screen is arranged on the flow passage;
the microphone is used for acquiring an audio signal sent by the air supply device;
a controller electrically connected to the microphone and the fan, configured to perform the detection method of any one of claims 1 to 9.
11. The air supply arrangement of claim 10, wherein the air supply arrangement is a fresh air machine, an air conditioner, or an air cleaner.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111128654.9A CN113847706A (en) | 2021-09-26 | 2021-09-26 | Detection method for air supply device and air supply device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111128654.9A CN113847706A (en) | 2021-09-26 | 2021-09-26 | Detection method for air supply device and air supply device |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113847706A true CN113847706A (en) | 2021-12-28 |
Family
ID=78979495
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111128654.9A Pending CN113847706A (en) | 2021-09-26 | 2021-09-26 | Detection method for air supply device and air supply device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113847706A (en) |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1715801A (en) * | 2004-07-01 | 2006-01-04 | 三星电子株式会社 | The method of the noise of prediction air-conditioner and the method for using its manufacturing air-conditioner |
| CN107943653A (en) * | 2017-11-23 | 2018-04-20 | 英业达科技有限公司 | Fan detection method and fan detection system |
| CN108335699A (en) * | 2018-01-18 | 2018-07-27 | 浙江大学 | A kind of method for recognizing sound-groove based on dynamic time warping and voice activity detection |
| CN108469109A (en) * | 2018-03-01 | 2018-08-31 | 广东美的制冷设备有限公司 | Detection method, device, system, air conditioner and the storage medium of unit exception |
| CN113358214A (en) * | 2021-08-10 | 2021-09-07 | 陕西高速电子工程有限公司 | Fault detection method for jet fan structural body and related equipment |
-
2021
- 2021-09-26 CN CN202111128654.9A patent/CN113847706A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1715801A (en) * | 2004-07-01 | 2006-01-04 | 三星电子株式会社 | The method of the noise of prediction air-conditioner and the method for using its manufacturing air-conditioner |
| CN107943653A (en) * | 2017-11-23 | 2018-04-20 | 英业达科技有限公司 | Fan detection method and fan detection system |
| CN108335699A (en) * | 2018-01-18 | 2018-07-27 | 浙江大学 | A kind of method for recognizing sound-groove based on dynamic time warping and voice activity detection |
| CN108469109A (en) * | 2018-03-01 | 2018-08-31 | 广东美的制冷设备有限公司 | Detection method, device, system, air conditioner and the storage medium of unit exception |
| CN113358214A (en) * | 2021-08-10 | 2021-09-07 | 陕西高速电子工程有限公司 | Fault detection method for jet fan structural body and related equipment |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US7445665B2 (en) | Method for detecting the cleanliness of a filter | |
| WO2022227645A1 (en) | Air conditioner noise control method, system, and device, and storage medium | |
| US10359335B2 (en) | Methods and apparatus to analyze recordings in leak detection | |
| CN107677364B (en) | Air conditioner surge testing method and system | |
| EP2595153A1 (en) | Sound quality evaluation apparatus and method thereof | |
| US20140200837A1 (en) | Analysis of Component Having Engineered Internal Space for Fluid Flow | |
| CN104344535A (en) | Method and device for adaptively adjusting frequency of conditioner motor and air conditioner | |
| JPH09166483A (en) | Method and apparatus for monitoring equipment | |
| Grebenik et al. | Roller element bearing acoustic fault detection using smartphone and consumer microphones comparing with vibration techniques | |
| JP2004219417A (en) | Audible frequency adjusting type sound effect-based diagnostic system and method | |
| CN110660198A (en) | Alarm information processing method and device and household appliance | |
| CN108445367A (en) | Portable partial discharge detector based on ultrasound | |
| CN110513828B (en) | Purifier filter screen condition detection method and device, control equipment and purifier | |
| CN106323454B (en) | The recognition methods of air conditioner indoor unit abnormal sound and device | |
| CN113847706A (en) | Detection method for air supply device and air supply device | |
| CN101718269A (en) | Surge symptom identification method based on frequency band energy | |
| CN114242085A (en) | Fault diagnosis method and device for rotating equipment | |
| CN105698920A (en) | Method and device for detecting abnormal sound of air-conditioning indoor set | |
| CN207304925U (en) | A kind of parametric loudspeaker and performance testing device | |
| JP2010203866A (en) | Device for detection of abnormal condition in apparatus | |
| CN114754476A (en) | Air conditioner breathing control device and method and air conditioner system | |
| CN113883079B (en) | Air supply device and control method thereof | |
| JPH05187971A (en) | Acoustically diagnosing device for air-cooling fan | |
| JP2022160658A (en) | Measuring terminal, measuring system, measuring method, and program | |
| CN115052240A (en) | Method and device for automatically detecting active sound box fault, computer equipment and storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |