CN205426485U - Range hood running state real -time supervision's device - Google Patents
Range hood running state real -time supervision's device Download PDFInfo
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- CN205426485U CN205426485U CN201520835620.7U CN201520835620U CN205426485U CN 205426485 U CN205426485 U CN 205426485U CN 201520835620 U CN201520835620 U CN 201520835620U CN 205426485 U CN205426485 U CN 205426485U
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- range hood
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Abstract
The utility model discloses a range hood running state real -time supervision's device, the device includes: signal acquisition element includes: be used for the vibration signal through installing the piezoelectric type acceleration sensor in range hood motor dead astern, when gathering the operation of range hood motor, the on -line monitoring unit, its with signal acquisition element connects, and it is right to be used for signal acquisition element gathers and obtains the vibration signal is handled, monitoring results early warning unit, its with the on -line monitoring unit connection, be used for based on the monitoring results that the on -line monitoring unit obtained carries out the early warning to range hood's running state. Range hood running state real -time supervision's device can overcome and maintain that the degree of difficulty is big among the prior art, waste time and energy and user experience subalternation defect to the advantage that the degree of difficulty is little, user experience is gone with by labour saving and time saving is maintained in the realization.
Description
Technical field
This utility model relates to household electrical appliance area of maintenance, in particular it relates to the device of a kind of range hood running state real-time monitoring.
Background technology
Range hood, as one of electrification kitchen indispensability facility, is increasingly subject to people's attention, and becomes the necessary of modern's life.The huge market demand is that the development of range hood industry brings unlimited business opportunity, also noise objective and stable operation to range hood are had higher requirement, and Chinese culinary art custom requires that range hood has Wind Volume while meeting noise objective.
Research shows, on the premise of air quantity is consistent, motor runs once to break down and can be greatly reinforced the noise of range hood, thus the combination property of extreme influence range hood and user's using effect.And when range hood runs and produces electrical fault, after-sales service personnel need to dismantle loom to search the source of trouble, and carry out maintenance replacing, this method not only bothers, and need to take a significant amount of time to tear machine Verify Repair open, wasting manpower and material resources, it is often more important that affect user's using effect and mood, thus affect consumer to the trust of product quality and evaluation.
In prior art, exist big to the range hood maintenance difficulties producing fault, waste time and energy and the defect such as poor user experience.
Utility model content
The purpose of this utility model is, for drawbacks described above, the device of a kind of range hood running state real-time monitoring is proposed, to solve to carry out fault anticipation by status real time monitor, failure judgement more accurately, promote maintenance efficiency, reduce the problem of maintenance difficulties, thus reach that maintenance difficulties is little, time saving and energy saving and the effect such as Consumer's Experience is good.
This utility model provides a kind of range hood running state real-time monitoring device, including: signal gathering unit, including: for the piezoelectric acceleration transducer by being arranged on range hood motor dead astern, gather vibration signal when range hood motor runs；On-line monitoring unit, it is connected with described signal gathering unit, processes for the described vibration signal collecting described signal gathering unit；Monitoring result prewarning unit, it is connected with described on-line monitoring unit, for the monitoring result obtained based on described on-line monitoring unit, the running status of range hood is carried out early warning.
Preferably, described range hood includes motor, and described motor produces described vibration signal when running.
Preferably, described on-line monitoring unit, including: the computer equipment of on-line monitoring.
Preferably, described monitoring result prewarning unit, including: sound and light alarm module and/or voice broadcast module and/or display module.
Scheme of the present utility model, while range hood runs, the state utilizing analysis method of wavelet packet (i.e. divided oscillation signal analysis method) to run lampblack absorber is monitored and Incipient Fault Diagnosis in real time.By the such real-time monitoring of state that lampblack absorber is run, corresponding anticipation rectification can be just carried out at the range hood electrical fault initial stage, reach to predict the most more accurately the purpose of fault, the most well run for range hood and provide safeguard, it is ensured that the good operational effect of range hood and the favorable comment of consumer and trust.Wherein, divided oscillation signal analysis method can include a lot of method, and analysis method of wavelet packet is exactly one therein, and in the solution of the present invention, divided oscillation signal analysis method refers to analysis method of wavelet packet.
Further, scheme of the present utility model, based on analysis method of wavelet packet, the HFS not having segmentation in other signal processing method analyses can be decomposed further, and according to the feature of range hood run signal, it is adaptive selected corresponding band, it is allowed to match with signal spectrum, thus improve time frequency resolution, range hood run signal fault features be can preferably extract, judgement, the most quickly and accurately monitoring range hood motor incipient failure accurately estimated, in case producing catastrophe failure further, and save the breakdown maintenance time.
Thus, scheme of the present utility model solution utilization state is monitored in real time and is carried out fault anticipation, failure judgement more accurately, promote maintenance efficiency, the problem reducing maintenance difficulties, thus, overcome in prior art that maintenance difficulties is big, waste time and energy and the defect of poor user experience, it is achieved the beneficial effect that maintenance difficulties is little, time saving and energy saving and Consumer's Experience is good.
Other features and advantages of the utility model will illustrate in the following description, and, partly become apparent from description, or understand by implementing this utility model.
Below by drawings and Examples, the technical solution of the utility model is described in further detail.
Accompanying drawing explanation
Accompanying drawing is used for providing being further appreciated by of the present utility model, and constitutes a part for description, is used for explaining this utility model, is not intended that restriction of the present utility model together with embodiment of the present utility model.In the accompanying drawings:
Fig. 1 is the structural representation of an embodiment of range hood running state real-time monitoring device in this utility model；
Fig. 2 is the structural representation of an embodiment of main eigen module in device of the present utility model；
Fig. 3 is the schematic diagram of an embodiment of WAVELET PACKET DECOMPOSITION in device of the present utility model；
Fig. 4 is the structural representation of an embodiment of acceleration transducer in this utility model；
Fig. 5 is the installation diagram of an embodiment of acceleration transducer in this utility model.
In conjunction with accompanying drawing, in this utility model embodiment, reference is as follows:
102-signal gathering unit；1022-piezoelectric acceleration transducer；104-on-line monitoring unit；1042-vibration signal pretreatment module；1044-main eigen module；10442-WAVELET PACKET DECOMPOSITION submodule；10444-decomposed signal reconstruct submodule；The main feature of 10446-obtains submodule；1046-spectrum analysis module；1048-spectrum analysis structure estimates judge module；106-monitoring result prewarning unit；1062-sound and light alarm module；1064-voice broadcast module.
Detailed description of the invention
For making the purpose of this utility model, technical scheme and advantage clearer, below in conjunction with this utility model specific embodiment and corresponding accompanying drawing, technical solutions of the utility model are clearly and completely described.Obviously, described embodiment is only a part of embodiment of this utility model rather than whole embodiments.Based on the embodiment in this utility model, the every other embodiment that those of ordinary skill in the art are obtained under not making creative work premise, broadly fall into the scope of this utility model protection.
According to embodiment of the present utility model, it is provided that a kind of range hood running state real-time monitoring device.The structural representation of one embodiment of device of the present utility model shown in Figure 1.This device at least includes:
Signal gathering unit 102, for gathering vibration signal when range hood motor runs.
In one embodiment, signal gathering unit 102 can gather vibration signal when range hood motor runs by being arranged on the piezoelectric acceleration transducer (sensor 1022 as shown in Figure 4) in range hood motor dead astern.Vibration signal when running by being arranged on the piezoelectric acceleration transducer Real-time Collection range hood motor in range hood motor dead astern, can improve accuracy and the reliability (as shown in Figure 4) of vibration signals collecting.
On-line monitoring unit 104, the described vibration signal for collecting signal gathering unit 102 carries out the wavelet packet analysis of on-line monitoring and processes.
In one embodiment, signal gathering unit 102 is gathered the described vibration signal of acquisition by on-line monitoring unit 104, in the equipment such as the computer (computer) being input to on-line monitoring, processed by wavelet packet analysis, it is reconstructed and draws the major error feature of vibration signal, and then carry out spectrum analysis.
Wherein, wavelet packet analysis, is a kind of time window and the most changeable Time-Frequency Analysis Method of frequency window.
Wherein, wavelet packet is the more commonly used method during fault-signal processes, and by wavelet packet signal reconfiguring method based on mathematical formulae, it is possible to decomposed successively by low-and high-frequency signal according to frequency, and chooses main frequency range and is reconstructed, removes interference.In the scheme of the present embodiment, it is that the analysis method of wavelet packet is applied in lampblack absorber monitoring running state, mainly can be monitored by programming virtual platform.
Wherein, the FFT of main characteristic frequency spectrum analysis and utilization signal is just.
This analysis method mainly utilizes wavelet basis function that non-stationary signal carries out high-frequency decomposition and low frequency decomposes, i.e. in low frequency part, there is higher frequency resolution and relatively low temporal resolution, at HFS, there is higher temporal resolution and relatively low frequency resolution, therefore at time-frequency domain, all there is the strongest ability characterizing signal local feature, thus, range hood motor rotation failure non-stationary signal feature extraction can be played good effect by it.Such as: utilize this wavelet packet analysis to process, described vibration signal is carried out frequency decomposition and feature extraction, described vibration signal is carried out feature extraction and reconstructs, it is thus achieved that main feature (example: major error feature).
Further, the HFS not having segmentation in other signal processing method analyses can be decomposed by this analysis method further, and according to the feature of analyzed signal, it is adaptive selected corresponding band, it is allowed to match with signal spectrum, thus improves time frequency resolution, thus, it can also preferably extract and reconstruct range hood signal fault feature, carries out estimating judgement.Such as: utilize this wavelet packet analysis to process, especially to main feature (example: the major error feature extracted in this vibration signal), spectrum analysis is carried out.Wherein, the FFT of main characteristic frequency spectrum analysis and utilization signal is just.
In one example, the wavelet packet analysis process that the schematic diagram of the embodiment carrying out signal decomposition is described further the on-line monitoring of on-line monitoring unit 104 is specifically combined in wavelet packet analysis shown in Fig. 3.
In one embodiment, this on-line monitoring unit 104 also includes: main eigen module 1044, spectrum analysis module 1046, spectrum analysis structure estimate judge module 1048.
Wherein, main eigen module 1044, it is used for using analysis method of wavelet packet, extracts the main feature in the described vibration signal that signal gathering unit 102 collects.
In one embodiment, this on-line monitoring unit 104 can also include vibration signal pretreatment module 1042.The vibration signal first using vibration signal pretreatment module 1042 first to collect signal gathering unit 102 carries out pretreatment, this pretreatment at least includes signal filtering process and/or signal processing and amplifying, vibration signal during by running range hood motor before wavelet packet analysis processes carries out pretreatment, the burr in original vibration signal can be removed, improve wavelet packet analysis and process the reliability of signal used.Thus, further, main eigen module 1044 can use analysis method of wavelet packet, extracts the main feature in pretreated vibration signal.
Further, in one embodiment, main eigen module 1044 uses analysis method of wavelet packet to extract main feature (as shown in Figure 2) in vibration signal, the most such as:
This main eigen module 1044 may include that
WAVELET PACKET DECOMPOSITION submodule 10442, is used for utilizing wavelet basis function, and vibration signal carries out WAVELET PACKET DECOMPOSITION, and high-frequency decomposition and low frequency the most successively decompose.
Wherein, the formula of this WAVELET PACKET DECOMPOSITION is:
S=AAAn+DAAn+ADAn+DDAn+AADn+DADn+ADDn+DDDn；
Wherein, S represents that original signal, A represent that low frequency signal, D represent that high-frequency signal, n represent the number of plies of decomposition, and n is natural number.Such as: wavelet packet may be defined as: during WAVELET PACKET DECOMPOSITION, the decomposition space in multiresolution analysis is investigated:This expression formula shows that multiresolution analysis is space L according to different scale factors j2R is decomposed into subspace Wj(j ∈ Z) sum, wherein WjFor wavelet functionClosure (wavelets Subspace).
Decomposed signal reconstruct submodule 10444, for after WAVELET PACKET DECOMPOSITION submodule 10442 completes vibration signal is carried out multilamellar decomposition, multilamellar is decomposed gained signal and is reconstructed by decomposed signal reconstruct submodule 10444.Wherein, Decomposition order is unrestricted, is typically based on signal processing experience, decomposes 3 layers the most much of that, primarily to raising efficiency.
Main feature obtains submodule 10446, for after multilamellar being decomposed the reconstruct of gained signal through described decomposed signal reconstruct submodule 10444, main feature obtains submodule 10446 and obtains the main feature in vibration signal, i.e. range hood motor rotation failure non-stationary signal feature (such as: major error feature).
Utilize wavelet basis function that non-stationary signal carries out high-frequency decomposition and the low frequency decomposition of multilamellar, range hood motor rotation failure non-stationary signal feature extraction can be played good effect, be conducive to improving the reliability of on-line monitoring and through parasexuality.
Wherein, spectrum analysis module 1046, carry out spectrum analysis for the main feature that main eigen module 1044 is extracted.Wherein, spectrum analysis is exactly Fourier transformation process (FFT process) of signal.
Wherein, spectrum analysis structure estimates judge module 1048, for based on the spectrum analysis module 1046 result of spectrum analysis to main feature, range hood run signal fault features being estimated judgement.Wherein, fault-signal has intrinsic frequecy characteristic, so just can failure judgement according to feature.
Vibration signal when being run range hood motor by analysis method of wavelet packet carries out on-line monitoring, the HFS not having segmentation in other signal processing method analyses can be decomposed further, and according to the feature of range hood run signal, it is adaptive selected corresponding band, it is allowed to match with signal spectrum, thus improve time frequency resolution, it is possible to preferably extract range hood run signal fault features, accurately estimate judgement.
Monitoring result prewarning unit 106, processes the result of the monitoring obtained, the running status of range hood is carried out early warning based on described on-line monitoring unit 104 wavelet packet analysis.
In one embodiment, monitoring result prewarning unit 106, the result obtained based on wavelet packet analyzing and processing in described on-line monitoring unit 104 on-line monitoring, export this result and report to the police.Such as: the type of alarms such as display, acousto-optic, voice.Such as: based on this result, carry out sound and light alarm when range hood run signal exists initial failure hidden danger, remind user to safeguard in time；And/or, based on this result, when range hood run signal does not exist initial failure, on-line monitoring result being carried out voice broadcast, the prompting current run signal of user's range hood is normal.
In one embodiment, monitoring result prewarning unit 106 may include that sound and light alarm module 1062, for based on this result, carries out sound and light alarm when range hood run signal exists initial failure hidden danger, reminds user to safeguard in time.In one embodiment, monitoring result prewarning unit 106 can include voice broadcast module 1064, for based on this result, on-line monitoring result carrying out when range hood run signal does not exist initial failure voice broadcast, the prompting current run signal of user's range hood is normal.
Thus, by the result of on-line monitoring is carried out early warning, user can be reminded in time to safeguard in time when there is initial failure hidden danger, it is also possible to informing that when there is not initial failure hidden danger user can relieved use, hommization is good.
Through substantial amounts of verification experimental verification, use the technical solution of the utility model, by range hood being run on-line monitoring based on analysis method of wavelet packet, the HFS not having segmentation in other signal processing method analyses can be decomposed further, and according to the feature of range hood run signal, be adaptive selected corresponding band, it is allowed to match with signal spectrum, thus improve time frequency resolution, it is possible to preferably extract range hood run signal fault features, accurately estimate judgement.
The foregoing is only embodiment of the present utility model, be not limited to this utility model, for a person skilled in the art, this utility model can have various modifications and variations.All within spirit of the present utility model and principle, any modification, equivalent substitution and improvement etc. made, within should be included in right of the present utility model.
Claims (4)
1. the device of a range hood running state real-time monitoring, it is characterised in that including:
Signal gathering unit, including: for the piezoelectric acceleration transducer by being arranged on range hood motor dead astern, gather vibration signal when range hood motor runs；
On-line monitoring unit, it is connected with described signal gathering unit, processes for the described vibration signal collecting described signal gathering unit；
Monitoring result prewarning unit, it is connected with described on-line monitoring unit, for the monitoring result obtained based on described on-line monitoring unit, the running status of range hood is carried out early warning.
Device the most according to claim 1, it is characterised in that described range hood includes motor, described motor produces described vibration signal when running.
3. according to the device one of claim 1-2 Suo Shu, it is characterised in that described on-line monitoring unit, including:
The computer equipment of on-line monitoring.
4. according to the device one of claim 1-2 Suo Shu, it is characterised in that described monitoring result prewarning unit, including:
Sound and light alarm module and/or voice broadcast module and/or display module.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201520835620.7U CN205426485U (en) | 2015-10-23 | 2015-10-23 | Range hood running state real -time supervision's device |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201520835620.7U CN205426485U (en) | 2015-10-23 | 2015-10-23 | Range hood running state real -time supervision's device |
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| CN205426485U true CN205426485U (en) | 2016-08-03 |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108810147A (en) * | 2018-06-14 | 2018-11-13 | 江西科力厨房无油烟科技有限公司 | Oil smoke early warning maintenance system and its control method |
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- 2015-10-23 CN CN201520835620.7U patent/CN205426485U/en not_active Expired - Fee Related
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108810147A (en) * | 2018-06-14 | 2018-11-13 | 江西科力厨房无油烟科技有限公司 | Oil smoke early warning maintenance system and its control method |
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| CF01 | Termination of patent right due to non-payment of annual fee | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20160803 Termination date: 20211023 |