CN203786875U - Machine fault intelligent early warning system - Google Patents
Machine fault intelligent early warning system Download PDFInfo
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- CN203786875U CN203786875U CN201420039845.7U CN201420039845U CN203786875U CN 203786875 U CN203786875 U CN 203786875U CN 201420039845 U CN201420039845 U CN 201420039845U CN 203786875 U CN203786875 U CN 203786875U
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- 238000001514 detection method Methods 0.000 claims abstract description 38
- 238000012545 processing Methods 0.000 claims abstract description 27
- 238000004891 communication Methods 0.000 claims description 3
- 238000004519 manufacturing process Methods 0.000 abstract description 6
- 230000007175 bidirectional communication Effects 0.000 abstract 1
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 6
- 238000012423 maintenance Methods 0.000 description 4
- 230000006378 damage Effects 0.000 description 3
- 238000012544 monitoring process Methods 0.000 description 3
- 238000013459 approach Methods 0.000 description 2
- 206010000372 Accident at work Diseases 0.000 description 1
- 230000002159 abnormal effect Effects 0.000 description 1
- 230000005856 abnormality Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 230000006866 deterioration Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000013467 fragmentation Methods 0.000 description 1
- 238000006062 fragmentation reaction Methods 0.000 description 1
- 239000000314 lubricant Substances 0.000 description 1
- 230000000630 rising effect Effects 0.000 description 1
- 238000005096 rolling process Methods 0.000 description 1
- 230000035939 shock Effects 0.000 description 1
- 230000007704 transition Effects 0.000 description 1
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Abstract
A machine fault intelligent early warning system comprises a detection module, a processing module, an A/D converter and an alarm module, wherein the detection module and the processing module are connected, and the connection mode is bidirectional communication connection; the processing module is connected with the A/D converter, the A/D converter is connected with the alarm module, and the alarm module comprises a display device and a sound device. The machine fault intelligent early warning system is simple in use and clear in display, and enables the efficiency to be improved and the production cost to be reduced.
Description
Technical field
The utility model relates to a kind of pick-up unit, a kind of especially mechanical disorder intelligent early-warning system.
Background technology
General machinery and equipment in use, because a variety of causes is all likely out of order, once but some important machine be out of order suddenly, will quit work immediately or cannot normally work, and causing serious industrial accident and economic loss.
And in traditional machinery and equipment, be provided with warning system, but this warning system only can break down cannot work time at machine, just sends audible alarms such as " ticking " to cause operator's attention, if user is not the people in this field, need to ask professional person to detect maintenance; Due to meeting the warning of general machine, can not show concrete abort situation, so even professional person also needs to carry out some parts of machine are detected and just can find trouble spot and keep in repair; Moreover now fault occurs, loss causes; So, even if maintenance is good, in the serviceable life of also wasting time and energy and having reduced machine, increase production cost, affect production etc., and can cause some other unnecessary loss.
If there is a set of mechanical disorder intelligent early-warning system, can be in the time that machine moves the situation in serviceable life of the vitals of monitoring machinery, the vitals of machine approaches while damage soon, sends the warning before fault, prompting maintenance personnel safeguard in time or change.Will allow so the safe and reliable operation of machine, avoid loss, increase work efficiency and reduce production costs.
Utility model content
In order to overcome the deficiencies in the prior art, the utility model provides a kind of mechanical disorder intelligent early-warning system simple, that show clearly, raise the efficiency and reduce production costs that uses.
The utility model solves the technical scheme that its technical matters adopts: a kind of mechanical disorder intelligent early-warning system, comprise detection module, processing module, A/D converter and alarm module, wherein: described detection module is connected with processing module, described processing module is connected with A/D converter, described A/D converter is connected with alarm module, and described alarm module contains display device and audio unit.
As further improvement of the utility model: described detection module contains vibration detection sensor, frequency detecting sensor, temperature detection sensor, press detection sensor, voltage detecting sensor and current detection sensor.
As further improvement of the utility model: described processing module adopts single-chip microcomputer or PLC system.
Compared with prior art, the beneficial effects of the utility model are: used after the utility model, the situation in serviceable life of the vitals of monitoring machinery when machine operation, the vitals of machine approaches while damage soon, send the warning before fault, and pointing out out the abnormity point of vitals accurately, handled easily person keeps in repair or changes it; This system makes the operation that machine can be safe and reliable, effectively avoids machine in purposes, to damage making, thereby produces all unnecessary losses, increases work efficiency and reduces production costs.
Brief description of the drawings
Fig. 1 is the utility model workflow diagram.
Embodiment
Below in conjunction with drawings and Examples, the utility model is further illustrated.
With reference to Fig. 1, a kind of mechanical disorder intelligent early-warning system, comprise detection module, processing module, A/D converter and alarm module, it is characterized in that: described detection module is connected with processing module, described processing module is connected with A/D converter, described A/D converter is connected with alarm module, and described alarm module contains display device and audio unit.It between processing module and detection module, is both-way communication; Processing module is known the duty of the each parts of machine by detection module, by A/D converter, analog-signal transitions is become to digital data transmission to alarm module; Described detection module contains vibration detection sensor, frequency detecting sensor, temperature detection sensor, press detection sensor, voltage detecting sensor and current detection sensor.Described audio unit adopts the equipment such as loudspeaker or hummer.Described display device adopts display device.Described processing module adopts single-chip microcomputer or PLC system.
Principle of work is as follows:
Detection module includes the sensor that the collecting device working conditions such as vibration detection sensor, frequency detecting sensor, temperature detection sensor, press detection sensor, voltage detecting sensor, current detection sensor, flow detection sensor and speed pickup are used, and is both-way communication between described processing module and detection module; The duty of knowing the each parts of machine by detection module is transferred to processing module; Processing module adopts the processor chips equipment such as single-chip microcomputer or PLC system, in processor, input normal working value scope or the fault-signal value scope of each parts, then detection module is in the time that machine operates, the function situation of the each parts of Real-Time Monitoring, and feed back in processing module, processing module is compared to the data that feed back and setting value, after noting abnormalities, the mode of voice or word or voice and word that changes into by A/D converter is by user of service or the maintainer of the announcements such as loudspeaker, display screen; When omen that user of service or maintenance personal can have an accident at machine by voice message, handling failure hidden danger rapidly.
Case study on implementation
On motor, be equipped with a kind of mechanical fault intelligent early-warning system, on bearing, be equipped with detection module.On motor casing, be equipped with temperature detection sensor, the signal that makes it to detect is entered in the processing module of the machine mechanical fault intelligent early-warning system, and in processing module, set bearing non-normal working shock value, and bearing non-normal working temperature value, and motor complete machine non-normal working temperature value (such as bearing working temperature is normally normal 60-90 degree Celsius of left and right).If bearing temperature can hurried rising, may be that deterioration of lubricant or rolling body fragmentation are split etc.Temperature detection sensor and vibration detection sensor detect that bearing temperature abnormal high temperature or vibrations are too fierce, processing module receives signal, as long as there is correlation parameter to reach off working state value, processing module is output alarm information immediately, and A/D converter receives the warning simulating signal that processing module sends and changed into voice or word or voice and word.Alarm module receives the information of warning, by the display screen of display device or the loudspeaker of audio unit or both and with informing maintainer, makes maintainer change in advance bearing, handling failure hidden danger.
In sum; those of ordinary skill in the art reads after the utility model file; make other various corresponding conversion scheme according to the technical solution of the utility model and technical conceive without creative brainwork, all belong to the scope that the utility model is protected.
Claims (3)
1. a mechanical disorder intelligent early-warning system, comprise detection module, processing module, A/D converter and alarm module, it is characterized in that: described detection module is connected with processing module, its connected mode is that both-way communication connects, described processing module is connected with A/D converter, described A/D converter is connected with alarm module, and described alarm module contains display device and audio unit.
2. a kind of mechanical disorder intelligent early-warning system according to claim 1, is characterized in that: described detection module contains vibration detection sensor, frequency detecting sensor, temperature detection sensor, press detection sensor, voltage detecting sensor and current detection sensor.
3. a kind of mechanical fault intelligent early-warning system according to claim 1, is characterized in that: described processing module adopts single-chip microcomputer or PLC system.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201420039845.7U CN203786875U (en) | 2014-01-22 | 2014-01-22 | Machine fault intelligent early warning system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201420039845.7U CN203786875U (en) | 2014-01-22 | 2014-01-22 | Machine fault intelligent early warning system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN203786875U true CN203786875U (en) | 2014-08-20 |
Family
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Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201420039845.7U Expired - Lifetime CN203786875U (en) | 2014-01-22 | 2014-01-22 | Machine fault intelligent early warning system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN203786875U (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106327806A (en) * | 2016-08-19 | 2017-01-11 | 北海市蕴芯电子科技有限公司 | Seeder fault alarm system |
-
2014
- 2014-01-22 CN CN201420039845.7U patent/CN203786875U/en not_active Expired - Lifetime
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106327806A (en) * | 2016-08-19 | 2017-01-11 | 北海市蕴芯电子科技有限公司 | Seeder fault alarm system |
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| Date | Code | Title | Description |
|---|---|---|---|
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| CX01 | Expiry of patent term |
Granted publication date: 20140820 |
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| CX01 | Expiry of patent term |