CN202048980U - Audio-based mechanical failure detection device - Google Patents
Audio-based mechanical failure detection device Download PDFInfo
- Publication number
- CN202048980U CN202048980U CN2011201360364U CN201120136036U CN202048980U CN 202048980 U CN202048980 U CN 202048980U CN 2011201360364 U CN2011201360364 U CN 2011201360364U CN 201120136036 U CN201120136036 U CN 201120136036U CN 202048980 U CN202048980 U CN 202048980U
- Authority
- CN
- China
- Prior art keywords
- module
- processing module
- mechanical fault
- sends
- audio frequency
- 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.)
- Expired - Fee Related
Links
Images
Landscapes
- Emergency Alarm Devices (AREA)
Abstract
The present utility model discloses an audio-based mechanical failure detection device. Noises given out by the operation of engineering mechanical equipments are collected, converted into sound data, and sent to a processing module by an audio acquisition module; mechanical failure information is determined according to the received sound data and sent to an alarm module by the processing module; and the mechanical failure information is displayed to users by the alarm module. Thus, by adopting the device, the failure information can be obtained and an alarm can be given out in real time, the real-time performance is good. and the success rate of failure identification can be substantially increased. Moreover, the device opens a new way in the field of engineering mechanical equipment failure identification, and has high practical values.
Description
Technical field
The utility model relates to mechanical fault detection technique field, relates in particular to a kind of mechanical fault pick-up unit based on audio frequency.
Background technology
On engineering mechanical device, in when, such as bearing, motor etc. mechanical fault taking place, generally engineering mechanical device is carried out fault detect and warning by methods such as single-phase steady state test, single-phase starting test, three-phase current steady state test and vibration-testings, but need the physical quantity measured more in these methods, instantaneity is relatively poor, and accuracy is not high yet.
The utility model content
The technical problems to be solved in the utility model is, a kind of mechanical fault pick-up unit based on audio frequency is provided, and overcomes the defective that existing mechanical fault detection method real-time is relatively poor, accuracy is not high.
The technical solution adopted in the utility model is that described mechanical fault pick-up unit based on audio frequency comprises: audio collection module, processing module and alarm module, wherein,
The audio collection module is gathered the noise that sends when engineering mechanical device turns round and is converted into voice data and sends to processing module, processing module is determined mechanical fault information and sends to alarm module that based on the voice data that receives alarm module represents mechanical fault information to the user.
Further, described audio collection module comprises: the sound transducer of Lian Jieing, amplifying circuit and sound acquisition chip successively, wherein,
Sound transducer collects the analogue noise signal and sends it to amplifying circuit, amplifying circuit sends to the sound collection chip after the analogue noise signal is amplified, and the sound collection chip carries out analog to digital conversion to the analogue noise signal after amplifying and obtains the digital noise signal.
Further, described sound transducer is a condenser type sound transducer.
Further, the sample frequency of described sound transducer is made as 8kHz～18kHz.
Further, described sound collection chip adopts the TLV320AIC23B chip of TI company.
Further, this device also comprises: the outer memory modules of the sheet that links to each other with described processing module.
Further, described outer memory modules is a storer.
Further, described processing module adopts the TMS320V-C5509 chip of TI company.
Further, as a kind of optional technical scheme, described alarm module comprises: warning processing module and GSM (Global System of Mobile communication, global system for mobile communications) module, wherein,
Processing module sends to warning processing module in the alarm module with mechanical fault information, and the warning processing module sends to mechanical fault information by gsm module user's server.
Further, as the optional technical scheme of another kind, described alarm module comprises: warning processing module, GPS (Global Positioning System, GPS) module and gsm module, wherein,
The GPS module gets access to the velocity information of engineering machinery and sends to the warning processing module, and the warning processing module sends to processing module with described velocity information,
Processing module receives described velocity information, determines mechanical fault information according to the voice data of described velocity information and described reception, and mechanical fault information is sent to the warning processing module,
The warning processing module sends to mechanical fault information by gsm module user's server.
Adopt technique scheme, the utility model has following advantage at least:
Mechanical fault pick-up unit based on audio frequency described in the utility model, the audio collection module is gathered the noise that sends when engineering mechanical device turns round and is converted into voice data and sends to processing module, processing module is determined mechanical fault information and sends to alarm module that based on the voice data that receives alarm module represents mechanical fault information to the user.Therefore, can obtain failure message and warning in real time, real-time is good, and can significantly improve the success ratio of Fault Identification.The utility model has been opened up the new approaches of engineering mechanical device Fault Identification, has very high practical value.
Description of drawings
Fig. 1 is that the described mechanical fault pick-up unit based on audio frequency of the utility model first embodiment is formed synoptic diagram;
Fig. 2 is that the described mechanical fault pick-up unit based on audio frequency of the utility model second embodiment is formed synoptic diagram.
Embodiment
For further setting forth the utility model is to reach technological means and the effect that predetermined purpose is taked, below in conjunction with accompanying drawing and preferred embodiment, to the utility model be elaborated as after.
The utility model first embodiment, a kind of mechanical fault pick-up unit based on audio frequency, as shown in Figure 1, comprise: audio collection module 10, DSP (Digital Signal Processing, digital signal processor) module 20 and alarm module 40, wherein, audio collection module 10 comprises: the sound transducer 11 of Lian Jieing, amplifying circuit 12 and sound acquisition chip 13 successively.Alarm module 40 comprises: warning processing module 41 and gsm module 42.
Preferably, with the sample frequency collection of analogue noise signal with 8kHz～18kHz, and the length of image data is made as 16bit, the analogue noise signal has become 16 digital noise signal after the A/D conversion like this.
The analogue noise signal is converted into after the digital noise signal, and sound collection chip 13 transfers data to DSP module 20 again, and DSP module 20 is cores of whole device.DSP module 20 can adopt the TMS320V-C5509 chip of TI company, this chip is supported unified addressing space, the total volume of internal memory is 320kB on the sheet, RAM (the Random-access memory that comprises 128k * 16bit, and can be the outer memory headroom of sheet of 8M * 16bit to the maximum random access storage device) and the ROM of 32k * 16bit (Read-Only Memory, ROM (read-only memory)), according to user's one of needs expansion, adopt a storer 30 to realize, such as flash memory etc.Can be from the sheet of this chip when DSP module 20 needs deal with data outside internal memory or the sheet memory headroom read corresponding data.In the present embodiment, stored the noise threshold when engineering mechanical device normally moves in the DSP module 20 in advance, itself and the digital noise signal that is converted to through collection are compared, if the digital noise signal surpasses this threshold values, mechanical fault has taken place in then current engineering mechanical device, mechanical fault information is sent to warning processing module 41 in the alarm module 40, and warning processing module 41 is reported to the police to user's server 50 by gsm module 42 again; If the digital noise signal does not surpass this threshold values, then belong to non-fault noise.
The utility model second embodiment, a kind of mechanical fault pick-up unit based on audio frequency, device is roughly the same described in the present embodiment and first embodiment, and difference is: alarm module 40 comprises: warning processing module 41, gsm module 42 and GPS module 43, wherein,
In the present embodiment,, further mentioned the accuracy that mechanical fault information is judged because DSP module 20 has been considered the digital noise signal that receives and the velocity information of engineering machinery simultaneously when determining mechanical fault information.
Introduce below and adopt device described in the utility model to carry out the effect of mechanical fault test experiments:
The experiment sample that adopts adds up to 200, is divided into fault sample and non-fault sample two classes, and every class all is 100 samples.Fault sample is collected in the Test to Failure of mechanical manufacturer, and fault sample is collected in on-the-spot operation voice signal.Wherein the length of fault sample is 10 seconds, comprises the sound of initial 10 seconds processes of complete fault, and other etc. common noise.The length of non-fault sample is 20 seconds.
Mechanical fault pick-up unit based on audio frequency described in the utility model is tested under the environment of a simulation, and and document in existing test effect contrast, experimental result is shown in table 1.Whole success ratio is meant: the ratio of judicious total sample number and experiment sample sum.
Table 1 test result contrast table
By experimental result as can be seen, also be non-fault sample no matter to fault sample, experimental result is all very accurate.
Explanation by embodiment, should be to reach technological means and the effect that predetermined purpose takes to be able to more deeply and concrete understanding to the utility model, yet appended diagram only provide with reference to the usefulness of explanation, be not to be used for the utility model is limited.
Claims (10)
1. the mechanical fault pick-up unit based on audio frequency is characterized in that, comprising: audio collection module, processing module and alarm module, wherein,
The audio collection module is gathered the noise that sends when engineering mechanical device turns round and is converted into voice data and sends to processing module, processing module is determined mechanical fault information and sends to alarm module that based on the voice data that receives alarm module represents mechanical fault information to the user.
2. according to the described mechanical fault pick-up unit of claim 1, it is characterized in that described audio collection module comprises based on audio frequency: the sound transducer of Lian Jieing, amplifying circuit and sound acquisition chip successively, wherein,
Sound transducer collects the analogue noise signal and sends it to amplifying circuit, amplifying circuit sends to the sound collection chip after the analogue noise signal is amplified, and the sound collection chip carries out analog to digital conversion to the analogue noise signal after amplifying and obtains the digital noise signal.
3. according to the described mechanical fault pick-up unit of claim 2, it is characterized in that described sound transducer is a condenser type sound transducer based on audio frequency.
4. according to claim 2 or 3 described mechanical fault pick-up units, it is characterized in that the sample frequency of described sound transducer is made as 8kHz～18kHz based on audio frequency.
5. according to the described mechanical fault pick-up unit of claim 2, it is characterized in that described sound collection chip adopts the TLV320AIC23B chip of TI company based on audio frequency.
6. according to the described mechanical fault pick-up unit of claim 1, it is characterized in that described device further comprises: the outer memory modules of the sheet that links to each other with described processing module based on audio frequency.
7. according to the described mechanical fault pick-up unit of claim 6, it is characterized in that described outer memory modules is a storer based on audio frequency.
8. according to the described mechanical fault pick-up unit of claim 1, it is characterized in that described processing module adopts the TMS320V-C5509 chip of TI company based on audio frequency.
9. according to the described mechanical fault pick-up unit of claim 1, it is characterized in that described alarm module comprises based on audio frequency: warning processing module and global system for mobile communications gsm module, wherein,
Processing module sends to warning processing module in the alarm module with mechanical fault information, and the warning processing module sends to mechanical fault information by gsm module user's server.
10. according to the described mechanical fault pick-up unit of claim 1, it is characterized in that described alarm module comprises based on audio frequency: warning processing module, global position system GPS module and gsm module, wherein,
The GPS module gets access to the velocity information of engineering machinery and sends to the warning processing module, and the warning processing module sends to processing module with described velocity information,
Processing module receives described velocity information, determines mechanical fault information according to the voice data of described velocity information and described reception, and mechanical fault information is sent to the warning processing module,
The warning processing module sends to mechanical fault information by gsm module user's server.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2011201360364U CN202048980U (en) | 2011-05-03 | 2011-05-03 | Audio-based mechanical failure detection device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2011201360364U CN202048980U (en) | 2011-05-03 | 2011-05-03 | Audio-based mechanical failure detection device |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN202048980U true CN202048980U (en) | 2011-11-23 |
Family
ID=44989286
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN2011201360364U Expired - Fee Related CN202048980U (en) | 2011-05-03 | 2011-05-03 | Audio-based mechanical failure detection device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN202048980U (en) |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102945012A (en) * | 2012-10-22 | 2013-02-27 | 三一重工股份有限公司 | Concrete pump truck and monitoring system and monitoring method |
| CN105118516A (en) * | 2015-09-29 | 2015-12-02 | 浙江图维电力科技有限公司 | Identification method of engineering machinery based on sound linear prediction cepstrum coefficients (LPCC) |
| CN107963239A (en) * | 2017-11-16 | 2018-04-27 | 北京宇航系统工程研究所 | A kind of booster failure detection device and detection method based on audio |
| CN108784932A (en) * | 2017-05-02 | 2018-11-13 | 中国石油化工股份有限公司 | A kind of preventing noise ear cover based on spectrum analysis |
| CN110023646A (en) * | 2016-12-09 | 2019-07-16 | 舍弗勒技术股份两合公司 | For carrying out the method that state determines to vehicle torsional vibration damper |
| CN110969805A (en) * | 2018-09-30 | 2020-04-07 | 杭州海康威视数字技术股份有限公司 | Safety detection method, device and system |
-
2011
- 2011-05-03 CN CN2011201360364U patent/CN202048980U/en not_active Expired - Fee Related
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102945012A (en) * | 2012-10-22 | 2013-02-27 | 三一重工股份有限公司 | Concrete pump truck and monitoring system and monitoring method |
| CN102945012B (en) * | 2012-10-22 | 2015-10-28 | 三一重工股份有限公司 | Concrete mixer and supervisory system, method for supervising |
| CN105118516A (en) * | 2015-09-29 | 2015-12-02 | 浙江图维电力科技有限公司 | Identification method of engineering machinery based on sound linear prediction cepstrum coefficients (LPCC) |
| CN110023646A (en) * | 2016-12-09 | 2019-07-16 | 舍弗勒技术股份两合公司 | For carrying out the method that state determines to vehicle torsional vibration damper |
| CN108784932A (en) * | 2017-05-02 | 2018-11-13 | 中国石油化工股份有限公司 | A kind of preventing noise ear cover based on spectrum analysis |
| CN107963239A (en) * | 2017-11-16 | 2018-04-27 | 北京宇航系统工程研究所 | A kind of booster failure detection device and detection method based on audio |
| CN110969805A (en) * | 2018-09-30 | 2020-04-07 | 杭州海康威视数字技术股份有限公司 | Safety detection method, device and system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN202048980U (en) | Audio-based mechanical failure detection device | |
| CN101122636B (en) | Method of estimating sound arrival direction and apparatus of estimating sound arrival direction | |
| Santini et al. | On the use of sensor nodes and mobile phones for the assessment of noise pollution levels in urban environments | |
| US11085814B2 (en) | Integrated sensor system | |
| CN109087655A (en) | A kind of monitoring of traffic route sound and exceptional sound recognition system | |
| CN106523928B (en) | Pipeline leakage detection method based on the screening of sound wave real time data two level | |
| CN110837091B (en) | Differential data processing method and receiver testing method | |
| CN102967419A (en) | Linear array type ultrasonic leak detection device and method | |
| CN104244162A (en) | Noise detecting method and device of loudspeaker | |
| CN105445697A (en) | Low-cost low-power sound source orientation method | |
| CN213519242U (en) | Simple and easy portable bird sound identification system in woods | |
| CN103454970A (en) | Remote monitoring system of numerically-controlled machine tool | |
| CN101738487A (en) | Virtual instrument technology-based motor experimental system scheme | |
| CN206235390U (en) | A kind of hand-held vibration noise measuring instrument with writing function | |
| CN215811620U (en) | Multichannel bearing state remote monitoring device | |
| CN206313861U (en) | A kind of audio detection system based on the control of NI boards serial ports | |
| CN103745506A (en) | CNS/GPS dual-mode remote real-time monitoring automobile driving recorder | |
| CN114113903A (en) | System and method for positioning line loss of distribution network line | |
| CN113936645A (en) | Method, system, device and storage medium for acquiring mistakenly awakened audio | |
| CN203931094U (en) | Warning system | |
| CN205620145U (en) | Equipment trouble acoustic frequency detecting system | |
| CN107548007A (en) | A kind of detection method and device of audio signal sample equipment | |
| CN212007510U (en) | Noise detection system | |
| Pierleoni et al. | Earthquake early warning services based on very low-cost internet of things devices | |
| CN104749508A (en) | Online partial discharge detector of power capacitor |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| C17 | Cessation of patent right | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20111123 Termination date: 20130503 |