CN106996801A - A kind of mechanical disorder detection means - Google Patents
A kind of mechanical disorder detection means Download PDFInfo
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- CN106996801A CN106996801A CN201710265862.0A CN201710265862A CN106996801A CN 106996801 A CN106996801 A CN 106996801A CN 201710265862 A CN201710265862 A CN 201710265862A CN 106996801 A CN106996801 A CN 106996801A
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- 238000001514 detection method Methods 0.000 title claims abstract description 19
- 230000005236 sound signal Effects 0.000 claims abstract description 22
- 238000012545 processing Methods 0.000 claims abstract description 18
- 238000004891 communication Methods 0.000 claims abstract description 4
- 238000005520 cutting process Methods 0.000 claims description 3
- 230000006698 induction Effects 0.000 claims description 3
- 230000010355 oscillation Effects 0.000 claims description 2
- 238000012360 testing method Methods 0.000 abstract description 4
- 238000003860 storage Methods 0.000 abstract description 3
- 238000007689 inspection Methods 0.000 description 7
- 238000005516 engineering process Methods 0.000 description 2
- 230000000737 periodic effect Effects 0.000 description 2
- 238000009825 accumulation Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000007257 malfunction Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
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- 230000004048 modification Effects 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 230000000246 remedial effect Effects 0.000 description 1
- 210000000697 sensory organ Anatomy 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
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Classifications
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M99/00—Subject matter not provided for in other groups of this subclass
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Abstract
The invention discloses a kind of mechanical disorder detection means, belong to fault detection technique field.It includes audio signal reception device, audio converter, central processing unit, display, memory, alarm, the audio signal reception device is arranged on around the machinery equipment of operation, collecting robot equipment runs noise, audio signal reception device is also electrically connected with display, memory, alarm by audio converter and central processing unit connecting communication, the central processing unit.By placing audio signal reception device around machinery equipment, sound when machinery equipment is run is converted into electric signal, voice signal is input to by central processing unit by audio converter, real-time sound signal storage is carried out similarity comparison by central processing unit in holder, and with the sample signal of the normal operation in memory;Hardware foundation is provided for automatic detection failure, detection efficiency and accuracy in detection is improved, artificial testing cost is saved.
Description
Technical field
The present invention relates to a kind of mechanical disorder detection means, belong to fault detection technique field.
Background technology
At present, supermatic machinery equipment is increasingly popularized, fewer and fewer to artificial demand, but every machine is set
Received shipment row for a period of time after, all it is possible that failure, if failure can not be found and exclude in time, it will production is caused
Unpredictable loss.It is desirable to organize artificial timed patrol inspection, machine is judged by the personal experience of tour personnel
Whether equipment is normally run, for some more hidden trickle potential faults, and the sense organ for depending merely on people is not recognized, only
It can wait until that failure there occurs, can adopt remedial measures, and walkaround inspection efficiency comparison is low.According to the warp of daily accumulation
Test, it has been found that a kind of method that trouble saving occurs, general machinery equipment is in normal operation, and can all send uniqueness there are rule
Rule has periodic sound, because what machine done is all periodic action, once some part in machine weares and teares
Or damage, this rule will be broken.According to this feature, the sound collecting that each machinery equipment is normally run is stored
Come, and the sound that monitoring machinery equipment is sent in real time, two kinds of sound are subjected to similarity comparison, one is set according to test result
The numerical value that similarity judges, similarity is higher than setting value, then is judged as no failure, machine can be continued to run with;Similarity is low
In setting value, then it is judged as faulty hidden danger, it is necessary to shutdown inspection.
The content of the invention
The technical problems to be solved by the invention are:A kind of mechanical disorder detection means is provided, it solves current machine
Device equipment checks failure by manual patrol, and the degree of accuracy is not high enough, the problem of inefficiency.
The technical problems to be solved by the invention take following technical scheme to realize:
A kind of mechanical disorder detection means, it include audio signal reception device, audio converter, central processing unit, display, memory,
Alarm, the audio signal reception device is arranged on around the machinery equipment of operation, and collecting robot equipment operation noise, audio signal reception device passes through
Audio converter and central processing unit connecting communication, the central processing unit are also electrically connected with display, memory, alarm.
As preferred embodiment, the audio signal reception device is made up of horn-like cover body, vibrating diaphragm, permanent magnet, coil, horn-like cover body
Opening inner side is fixed with one layer of vibrating diaphragm, and vibrating diaphragm middle inside is fixed with permanent magnet, and coil is centered around permanent magnet surrounding, and is fixed on
On the inwall of horn-like cover body, work as diaphragm oscillations, permanent magnet is done in coil produces sensing in cutting magnetic induction line motion, coil
Electric current, audio converter input is accessed by the both positive and negative polarity of coil.
The beneficial effects of the invention are as follows:By placing audio signal reception device around machinery equipment, when machinery equipment is run
Sound is converted into electric signal, voice signal is input into central processing unit by audio converter, central processing unit will be real-time
Sound signal storage carries out similarity comparison, similarity in holder, and with the sample signal of the normal operation in memory
Less than setting value, then it is judged as faulty hidden danger, starts alarm, points out to need shutdown inspection, similarity is higher than setting value, then
It is judged as no failure, machine can be continued to run with;Display can show the state of many machinery equipments in real time, and prompting is
No faulty hidden danger;Hardware foundation is provided for automatic detection failure, detection efficiency and accuracy in detection is improved, artificial inspection is saved
Survey cost.
Brief description of the drawings
Fig. 1 is circuit connection diagram of the invention;
Fig. 2 is the structural representation of audio signal reception device in the present invention.
In figure:Horn-like cover body 1, vibrating diaphragm 2, permanent magnet 3, coil 4.
Embodiment
In order to which technological means, creation characteristic, reached purpose and effect to the present invention are easy to understand, with reference to tool
Body is illustrated, and the present invention is expanded on further.
As shown in figure 1, a kind of mechanical disorder detection means, it include audio signal reception device, audio converter, central processing unit,
Display, memory, alarm, the audio signal reception device are arranged on around the machinery equipment of operation, and the operation of collecting robot equipment is made an uproar
Sound, audio signal reception device by audio converter and central processing unit connecting communication, the central processing unit be also electrically connected with display,
Memory, alarm.
As shown in Fig. 2 audio signal reception device is made up of horn-like cover body 1, vibrating diaphragm 2, permanent magnet 3, coil 4, horn-like cover body 1 is opened
Intraoral side is fixed with one layer of vibrating diaphragm 2, and the middle inside of vibrating diaphragm 2 is fixed with permanent magnet 3, and coil 4 is centered around the surrounding of permanent magnet 3, and solid
On the inwall for being scheduled on horn-like cover body 1, when vibrating diaphragm 2 vibrates, permanent magnet 3 does cutting magnetic induction line motion, coil 4 in coil 4
Middle generation induced-current, audio converter input is accessed by the both positive and negative polarity of coil 4.
By placing audio signal reception device around machinery equipment, sound when machinery equipment is run is converted into electric signal, leads to
Cross audio converter and voice signal is input to central processing unit, central processing unit is by real-time sound signal storage in holder
In, and similarity comparison is carried out with the sample signal of the normal operation in memory, similarity is higher than setting value, is then judged as not having
Faulty, machine can be continued to run with, and similarity is less than setting value, then be judged as faulty hidden danger, start alarm, point out to need
Want shutdown inspection;Display can show the state of many machinery equipments in real time, and point out whether faulty hidden danger;For automation
Detect that failure provides hardware foundation, improve detection efficiency and accuracy in detection, save artificial testing cost.
The determination of similarity setting value:Collect the sound of substantial amounts of malfunction by early stage, and during with normal operation
Sound does similarity comparison, and similarity uses the numerical value between 0-1, and numerical value is bigger, and similarity is higher, is tested according to failed machines
One setting value is set.Once so live sound similarity is less than setting value, then it is judged as faulty hidden danger, starts alarm
Device, points out to need shutdown inspection;Live sound Similarity value is higher than setting value, then is judged as no failure, machine can continue
Operation.
The general principle and principal character and advantages of the present invention of the present invention has been shown and described above.The technology of the industry
Personnel are it should be appreciated that the present invention is not limited to the above embodiments, without departing from the spirit and scope of the present invention, this hair
Bright also to have various changes and modifications, these changes and improvements are both fallen within the scope of protection of present invention.Application claims
Protection domain is by appended claims and its equivalent thereof.
Claims (2)
1. a kind of mechanical disorder detection means, it is characterised in that:It includes audio signal reception device, audio converter, central processing unit, aobvious
Show device, memory, alarm, the audio signal reception device is arranged on around the machinery equipment of operation, collecting robot equipment operation noise,
Audio signal reception device is by audio converter and central processing unit connecting communication, and the central processing unit is also electrically connected with display, deposited
Reservoir, alarm.
2. a kind of mechanical disorder detection means according to claim 1, it is characterised in that:The audio signal reception device is by horn-like cover
Body, vibrating diaphragm, permanent magnet, coil are constituted, and horn-like cover body opening inner side is fixed with one layer of vibrating diaphragm, and vibrating diaphragm middle inside is fixed with forever
Magnet, coil is centered around permanent magnet surrounding, and is fixed on the inwall of horn-like cover body, works as diaphragm oscillations, and permanent magnet is online
Done in circle in cutting magnetic induction line motion, coil and produce induced-current, the both positive and negative polarity of coil is accessed into audio converter input.
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CN201710265862.0A CN106996801A (en) | 2017-04-21 | 2017-04-21 | A kind of mechanical disorder detection means |
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CN201710265862.0A CN106996801A (en) | 2017-04-21 | 2017-04-21 | A kind of mechanical disorder detection means |
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Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109144026A (en) * | 2018-06-28 | 2019-01-04 | 郑州轻工业学院 | The fault detection method and fault detection means of EPS controller |
CN110107461A (en) * | 2019-05-22 | 2019-08-09 | 华润新能源(太原)有限公司 | Fan trouble method for early warning, device, equipment and computer readable storage medium |
CN110779717A (en) * | 2019-11-17 | 2020-02-11 | 徐州乐泰机电科技有限公司 | Gear real-time detection system based on Internet of things technology and use method thereof |
CN116006876A (en) * | 2022-12-27 | 2023-04-25 | 江苏卫华海洋重工有限公司 | Automatic mechanical arm for detecting state of crane port machine through mechanism operation sound |
JP7631741B2 (en) | 2020-11-10 | 2025-02-19 | 日本電気株式会社 | Noise evaluation device, acoustic characteristic measuring device, noise evaluation method, acoustic characteristic measuring method, and noise evaluation program |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102494894A (en) * | 2011-11-17 | 2012-06-13 | 高丙团 | Audio monitoring and fault diagnosis system for wind generating set and audio monitoring and fault diagnosis method for same |
CN203984214U (en) * | 2014-06-18 | 2014-12-03 | 武汉理工大学 | Noise generating panel |
CN204767092U (en) * | 2015-07-03 | 2015-11-18 | 上海宝亚安全装备有限公司 | Respirator with recording function |
CN206919917U (en) * | 2017-04-21 | 2018-01-23 | 上海赛菲环境科技股份有限公司 | A kind of mechanical disorder detection means |
-
2017
- 2017-04-21 CN CN201710265862.0A patent/CN106996801A/en active Pending
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102494894A (en) * | 2011-11-17 | 2012-06-13 | 高丙团 | Audio monitoring and fault diagnosis system for wind generating set and audio monitoring and fault diagnosis method for same |
CN203984214U (en) * | 2014-06-18 | 2014-12-03 | 武汉理工大学 | Noise generating panel |
CN204767092U (en) * | 2015-07-03 | 2015-11-18 | 上海宝亚安全装备有限公司 | Respirator with recording function |
CN206919917U (en) * | 2017-04-21 | 2018-01-23 | 上海赛菲环境科技股份有限公司 | A kind of mechanical disorder detection means |
Non-Patent Citations (1)
Title |
---|
陈书旺: "《传感器原理及应用电路设计》", 30 November 2015, 北京邮电大学出版社, pages: 173 - 174 * |
Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109144026A (en) * | 2018-06-28 | 2019-01-04 | 郑州轻工业学院 | The fault detection method and fault detection means of EPS controller |
CN110107461A (en) * | 2019-05-22 | 2019-08-09 | 华润新能源(太原)有限公司 | Fan trouble method for early warning, device, equipment and computer readable storage medium |
CN110779717A (en) * | 2019-11-17 | 2020-02-11 | 徐州乐泰机电科技有限公司 | Gear real-time detection system based on Internet of things technology and use method thereof |
JP7631741B2 (en) | 2020-11-10 | 2025-02-19 | 日本電気株式会社 | Noise evaluation device, acoustic characteristic measuring device, noise evaluation method, acoustic characteristic measuring method, and noise evaluation program |
CN116006876A (en) * | 2022-12-27 | 2023-04-25 | 江苏卫华海洋重工有限公司 | Automatic mechanical arm for detecting state of crane port machine through mechanism operation sound |
CN116006876B (en) * | 2022-12-27 | 2023-09-08 | 江苏卫华海洋重工有限公司 | Automatic mechanical arm for detecting state of crane port machine through mechanism operation sound |
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