CN103852338A - Abnormal noise fault detection method for air purifier - Google Patents
Abnormal noise fault detection method for air purifier Download PDFInfo
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- CN103852338A CN103852338A CN201410090271.0A CN201410090271A CN103852338A CN 103852338 A CN103852338 A CN 103852338A CN 201410090271 A CN201410090271 A CN 201410090271A CN 103852338 A CN103852338 A CN 103852338A
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Abstract
The invention provides an abnormal noise fault detection method for an air purifier. The method includes the steps that the single air purifier in an assembly line is started, and an upper computer is utilized to detect running signals of the single air purifier; when the upper computer detects the running signals of the single air purifier, the upper computer indicates an array type sound wave acquisition module to collect working sound waves of the single air purifier and background noise of the assembly line in real time and record the total running duration of the air purifier; an active array type noise reduction technology is adopted, phase inversion is carried out on original signals of the collected background noise of the assembly line, and then the signals subjected to phase inversion and the collected working sound waves of the air purifier are fused to obtain release signals; spectral analysis is carried out on the release signals through a fast Fourier transformation method, and the spectral characteristics of the collected different working sound waves of the air purifier on the fault-free and fault conditions are compared so as to obtain a fault warning threshold value; real-time detection of faults on a dust collection filter screen of the air purifier is carried out according to the fault warning threshold value.
Description
Technical field
The present invention relates to a kind of fault diagnosis technology, particularly a kind of fault detection method of the air purifier extraordinary noise based on fast fourier transform.
Background technology
In recent decades, along with providing of industrial expansion and personal lifestyle level, people are more and more higher to the attention rate of air quality.But, the statistical result showed of 2012, in 325 regions and above Area Ambient Air Quality, city up to standard ratio is only 40.9%; 113 environmental protection key cities ambient air quality standard attainment city ratios are only 23.9%.For improving air quality, people have proposed many effective methods and measure.Air purification series of products can adsorb, decompose or transform various air pollutants to a certain extent, thereby improve air cleanliness.Thereby for the IAQ (indoor air quality) improvement the closest with people's life, air purifier is a most frequently used and the most effective instrument.
Air purifier can produce certain noise in the time of work, in view of the size of its noise directly affects user's physical and mental health, a kind of working stamndard that level of noise when air purifier work is air purifier, country also has relevant standard to carry out strict control to its quality.
But in its quality control, the detection of air purifier running abnormal sound mainly adopts artificial mode to confirm by platform by tradesman on production line at present.But, because different tradesman there are differences the perception of abnormal sound, add the impact of stronger labour intensity and environmental background noise, often exist abnormal sound erroneous judgement and the situation such as fail to judge.
Summary of the invention
The present invention be directed to the problems referred to above, proposed to plant the fault detection method of the air purifier extraordinary noise based on fast fourier transform.The method can adopt the air purifier detecting on production line to send sound wave in trial run process, and whether have fault, and determine its fault type if detecting it.
In order to address the above problem, the invention provides a kind of air purifier extraordinary noise fault detection method that adopts detection system.Described detection system comprises: array sound collecting module, input and output monitoring module, host computer and fault alarm; Wherein, array sound collecting module, host computer and fault alarm link together and are arranged on streamline; And described detection method comprises the steps: first step: the separate unit air purifier of operation on streamline, utilizes the run signal of separate unit air purifier described in upper computer detection; Second step: when upper computer detection is during to the run signal of described separate unit air purifier, the work sound wave of separate unit air purifier and the ground unrest of described streamline record total duration of air purifier operation described in host computer instruction array sound collecting module Real-time Collection; Third step: adopt active array-type noise reduction technology, the original signal of the ground unrest of the streamline collecting in second step is carried out anti-phase, and make the signal after anti-phase merge to obtain release signal with the work sound wave of collection air purifier; The 4th step: by adopting the method based on fast fourier transform to carry out spectrum analysis to release signal, relatively non-fault and the spectral characteristic that has the different collection air purifier work sound wave under fault condition, to obtain fault alarm threshold value beta; The 5th step: utilize fault alarm threshold value beta, carry out the real-time detection of air purifier control of dust filter screen fault.
Preferably, described air purifier extraordinary noise fault detection method also comprises: the 6th step, for the basis of detecting in real time in fault, further analyze the spectral characteristic of release signal, and the fault of special frequency channel kind is positioned.
Preferably, described the 4th step comprises: setting ω is the frequency of operation of described separate unit air purifier, and the non-fault sound wave release signal of setting described separate unit air purifier is α (t), get δ (ω)=FFT[α (t)], wherein ω >=0, fault alarm threshold value
Preferably, described the 5th step comprises: utilize the acoustic signals α ' of described host computer by detecting described separate unit air purifier work (t), and get δ ' (ω)=FFT[α ' (t)], wherein ω>=0, threshold value
the size of compare threshold β ' and fault alarm threshold values β, in the time of threshold value beta ' be greater than fault alarm threshold values β, makes fault alarm send warning.
Preferably, the mode that array sound collecting module, host computer and fault alarm combine with wireless data transmission device by data transmission cable or wireless data transmission device or data transmission cable is connected.
Preferably, signal after anti-phase and the work sound wave of collection air purifier are merged refer to make the signal after anti-phase to be added with the work sound wave of collection air purifier.
Method provided by the invention adopts array active noise reduction technology, and the sound wave while simultaneously gathering air purifier operation and the ground unrest of streamline adopt rational active noise reduction algorithm to reduce the interference of ground unrest, and restore the work sound wave of air purifier.And then the work sound wave restoring is carried out to spectrum analysis, and adopt fast fourier transform, obtain its spectral characteristic.Then, by comparing air purifier at non-fault and out of order spectral power, obtain fault threshold, and according to the spectral characteristic difference fault type of its different faults, thereby realize air purifier abnormal state detection and localization of fault.
Beneficial effect of the present invention is: the present invention proposes and a kind ofly restore sound wave in order to realize diagnosis air purifier work whether abnormal fault detection technique by frequency-domain analysis air purifier, have again stronger sensitivity and robustness simultaneously.Can be widely used in the fault detect of all kinds of air cleaning facilities on streamline.
Brief description of the drawings
Fig. 1 is the principle schematic of the array active noise reduction of the air purifier extraordinary noise fault detection method realization of the embodiment of the present invention;
Fig. 2 is the process flow diagram of the air purifier extraordinary noise fault detection method of the embodiment of the present invention.
It should be noted that, accompanying drawing is used for illustrating the present invention, and unrestricted the present invention.
Embodiment
In order to make content of the present invention more clear and understandable, below in conjunction with specific embodiments and the drawings, content of the present invention is described in detail.
The air purifier that the air purifier extraordinary noise fault detection method that the embodiment of the present invention provides can detect on production line sends sound wave in trial run process, and whether detect it has fault, and determines its fault type.For example, particularly, first consider the ground unrest that must be mingled with factory's streamline in this work sound wave, can adopt array active noise reduction technology, sound wave while simultaneously gathering air purifier operation and the ground unrest of streamline, adopt rational active noise reduction algorithm to reduce the interference of ground unrest, and restore the work sound wave of air purifier.And then, can carry out spectrum analysis to the work sound wave restoring, adopt fast fourier transform, obtain its spectral characteristic.And, then can, by comparing air purifier at non-fault and out of order spectral power, obtain fault threshold, and according to the spectral characteristic difference fault type of its different faults, thereby realize air purifier abnormal state detection and localization of fault.
Particularly, in an embodiment of the present invention, provide a kind of air purifier extraordinary noise fault detection method that adopts detection system.Detection system comprises: interconnective array sound collecting module, host computer, fault alarm.
In this specific embodiment of the present invention, can obtain by the sound collecting device of point of fixity position layout (array sound collecting module) ground unrest of streamline.For example, array sound collecting module can comprise two Array Microphone; For example one of them Array Microphone is arranged in air purifier air outlet; And array sound collecting module can also comprise A/D D/A converter module.
Like this, as shown in Figure 1, set up array active noise reduction system, can not change on the integrally-built basis of air purifier streamline, install portable sound collecting device (array sound collecting module) additional at streamline air outlet, utilize the suitable communication mode of for example communication and so on to obtain the work sound wave of streamline.Obtain the ground unrest of streamline by the sound collecting device of point of fixity position layout.Can work out related software, computer acquisition, active noise reduction filtering, the sound wave that can realize sound wave raw data restore and data recording, and whether the work of real-time judge air purifier is abnormal.
Preferably, the mode that array sound collecting module, host computer and fault alarm combine with wireless data transmission device by data transmission cable or wireless data transmission device or data transmission cable is connected.Described detection method specifically comprises the steps:
First step S1: the separate unit air purifier of operation on streamline, utilizes the run signal of separate unit air purifier described in upper computer detection.
Second step S2: when upper computer detection is during to the run signal of described separate unit air purifier, the work sound wave of separate unit air purifier and the ground unrest of described streamline record total duration of air purifier operation described in host computer instruction array sound collecting module Real-time Collection.
Third step S3: adopt active array-type noise reduction technology, the original signal of the ground unrest of the streamline collecting in second step is carried out anti-phase, and make the signal after anti-phase merge to obtain release signal with the work sound wave of collection air purifier.Preferably, the signal after anti-phase is merged with the work sound wave of collection air purifier, refer to the signal making after anti-phase and be added with the work sound wave of collection air purifier.
The 4th step S4: by adopting the method based on fast fourier transform to carry out spectrum analysis to release signal, relatively non-fault and the spectral characteristic that has the different collection air purifier work sound wave under fault condition, to obtain fault alarm threshold value beta.For example, by adopting the method based on fast fourier transform to carry out spectrum analysis to release signal, can obtain amplitude versus frequency characte, phase-frequency characteristic, real characteristic, imaginary frequency characteristic and the spectral power frequently of release signal.
Preferably, described the 4th step S4 comprises: setting ω is the frequency of operation of described separate unit air purifier, and the non-fault sound wave release signal of setting described separate unit air purifier is α (t), get δ (ω)=FFT[α (t)], wherein ω >=0, fault alarm threshold value
The 5th step S5: utilize fault alarm threshold value beta, carry out the real-time detection of air purifier control of dust filter screen fault.
Preferably, described the 5th step S5 comprises: utilize the acoustic signals α ' of described host computer by detecting described separate unit air purifier work (t), and get δ ' (ω)=FFT[α ' (t)], wherein ω>=0, threshold value
the size of compare threshold β ' and fault alarm threshold values β, in the time of threshold value beta ' be greater than fault alarm threshold values β, makes fault alarm send warning.
The 6th step S6: on the basis of detecting in real time in fault, further analyze the spectral characteristic of release signal, the fault of special frequency channel kind is positioned.
The present invention proposes and a kind ofly restore sound wave in order to realize diagnosis air purifier work whether abnormal fault detection technique by frequency-domain analysis air purifier, there is again stronger sensitivity and robustness simultaneously.Can be widely used in the fault detect of all kinds of air cleaning facilities on streamline.
And, the contrast trend of sonic spectra power of working in non-fault with while having fault by the air purifier in the subsequent analysis embodiment of the present invention can be known, in the frequency range of 0-200Hz, the work under normal condition is obviously different from the spectral power that the air purifier of the work under abnormality restores sound wave.By preceding method, can obtain the Evaluation Strategy of the rate of appraising one's merits, further obtain fault detect threshold values, can realize the fault detect of air purifier control of dust filter screen.
The method is applied to the fault detect of relevant air purifier the most at last, its detection algorithm can complete by programming, the dirigibility that more can further reduce workman's labour intensity and improve detection, reliability and accuracy, thus reach comparatively desirable on-line fault diagnosis effect.
It should be noted that, unless otherwise indicated, otherwise the descriptions such as term " first " in instructions, " second ", " the 3rd " are only for distinguishing each assembly, element, step of instructions etc., instead of for representing logical relation or the ordinal relation etc. between each assembly, element, step.
Be understandable that, although the present invention discloses as above with preferred embodiment, but above-described embodiment is not in order to limit the present invention.For any those of ordinary skill in the art, do not departing from technical solution of the present invention scope situation, all can utilize the technology contents of above-mentioned announcement to make many possible variations and modification to technical solution of the present invention, or be revised as the equivalent embodiment of equivalent variations.Therefore, every content that does not depart from technical solution of the present invention,, all still belongs in the scope of technical solution of the present invention protection any simple modification made for any of the above embodiments, equivalent variations and modification according to technical spirit of the present invention.
Claims (6)
1. an air purifier extraordinary noise fault detection method that adopts detection system, is characterized in that, described detection system comprises: array sound collecting module, host computer and fault alarm; Wherein, array sound collecting module, host computer and fault alarm link together and are arranged on streamline; And described detection method comprises the steps:
First step: the separate unit air purifier of operation on streamline, utilizes the run signal of separate unit air purifier described in upper computer detection;
Second step: when upper computer detection is during to the run signal of described separate unit air purifier, the work sound wave of separate unit air purifier and the ground unrest of described streamline record total duration of air purifier operation described in host computer instruction array sound collecting module Real-time Collection;
Third step: adopt active array-type noise reduction technology, the original signal of the ground unrest of the streamline collecting in second step is carried out anti-phase, and make the signal after anti-phase merge to obtain release signal with the work sound wave of collection air purifier;
The 4th step: by adopting the method based on fast fourier transform to carry out spectrum analysis to release signal, relatively non-fault and the spectral characteristic that has the different collection air purifier work sound wave under fault condition, to obtain fault alarm threshold value beta;
The 5th step: utilize fault alarm threshold value beta, carry out the real-time detection of air purifier control of dust filter screen fault.
2. air purifier extraordinary noise fault detection method according to claim 1, characterized by further comprising: the 6th step, for the basis of detecting in real time in fault, further analyze the spectral characteristic of release signal, the fault of special frequency channel kind is positioned.
3. air purifier extraordinary noise fault detection method according to claim 1 and 2, it is characterized in that, described the 4th step comprises: setting ω is the frequency of operation of described separate unit air purifier, and the non-fault sound wave release signal of setting described separate unit air purifier is α (t), get δ (ω)=FFT[α (t)], wherein ω >=0, fault alarm threshold value
4. air purifier extraordinary noise fault detection method according to claim 1 and 2, it is characterized in that, described the 5th step comprises: utilize the acoustic signals α ' of described host computer by detecting described separate unit air purifier work (t), and get δ ' (ω)=FFT[α ' (t)], wherein ω>=0, threshold value
the size of compare threshold β ' and fault alarm threshold values β, in the time of threshold value beta ' be greater than fault alarm threshold values β, makes fault alarm send warning.
5. air purifier extraordinary noise fault detection method according to claim 1 and 2, it is characterized in that, the mode that array sound collecting module, host computer and fault alarm combine with wireless data transmission device by data transmission cable or wireless data transmission device or data transmission cable is connected.
6. air purifier extraordinary noise fault detection method according to claim 1 and 2, is characterized in that, signal after anti-phase and the work sound wave of collection air purifier is merged refer to make the signal after anti-phase to be added with the work sound wave of collection air purifier.
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Cited By (6)
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| CN106155050A (en) * | 2015-04-15 | 2016-11-23 | 小米科技有限责任公司 | The mode of operation method of adjustment of intelligent cleaning equipment and device, electronic equipment |
| CN109983311A (en) * | 2016-11-22 | 2019-07-05 | 三菱电机株式会社 | Deteriorate position estimation device, deterioration position estimating system and deterioration position estimation method |
| CN111933177A (en) * | 2020-07-23 | 2020-11-13 | 安徽声讯信息技术有限公司 | Intelligent fault analysis method and system based on machine sound wave recognition |
| CN113611278A (en) * | 2021-08-10 | 2021-11-05 | 中国工商银行股份有限公司 | Active noise reduction method and device for cabinet, computer equipment and storage medium |
| CN114262001A (en) * | 2021-12-07 | 2022-04-01 | 佛山市美的清湖净水设备有限公司 | Water purifier and noise monitoring method thereof |
| CN114295856A (en) * | 2022-01-28 | 2022-04-08 | 同济大学 | Acoustic-based centrifuge rotating speed non-contact type measuring method and device |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN111933177A (en) * | 2020-07-23 | 2020-11-13 | 安徽声讯信息技术有限公司 | Intelligent fault analysis method and system based on machine sound wave recognition |
| CN111933177B (en) * | 2020-07-23 | 2024-01-09 | 安徽声讯信息技术有限公司 | Intelligent fault analysis method and system based on machine acoustic wave identification |
| CN113611278A (en) * | 2021-08-10 | 2021-11-05 | 中国工商银行股份有限公司 | Active noise reduction method and device for cabinet, computer equipment and storage medium |
| CN114262001A (en) * | 2021-12-07 | 2022-04-01 | 佛山市美的清湖净水设备有限公司 | Water purifier and noise monitoring method thereof |
| CN114295856A (en) * | 2022-01-28 | 2022-04-08 | 同济大学 | Acoustic-based centrifuge rotating speed non-contact type measuring method and device |
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