CN109186748A - A kind of subsidiary engine vibration method for early warning and system based on big data digging technology - Google Patents
A kind of subsidiary engine vibration method for early warning and system based on big data digging technology Download PDFInfo
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- CN109186748A CN109186748A CN201810829276.9A CN201810829276A CN109186748A CN 109186748 A CN109186748 A CN 109186748A CN 201810829276 A CN201810829276 A CN 201810829276A CN 109186748 A CN109186748 A CN 109186748A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01H—MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
- G01H17/00—Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves, not provided for in the preceding groups
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Abstract
The present invention relates to a kind of, and the subsidiary engine based on big data digging technology vibrates method for early warning and system, wherein this method comprises: Auxiliary Machinery of Power Plant each measuring point historical vibration data A and vibration standard value B is compared with real-time vibration data C, obtains comparison result；If the comparison result are as follows: real-time vibration data C is greater than vibration standard value B, issues fault alarm prompt.The system includes: comparison module, for Auxiliary Machinery of Power Plant each measuring point historical vibration data A and vibration standard value B to be compared with real-time vibration data C, obtains comparison result；Warning module, for when the comparison result is that real-time vibration data C is greater than vibration standard value B, give warning in advance Auxiliary Machinery of Power Plant vibration fault, quickly elimination subsidiary engine vibration fault can be achieved the purpose that by issuing the fault alarm prompt present invention, ensure that the safe and stable operation of Auxiliary Machinery of Power Plant system.
Description
Technical field
The invention belongs to slewing vibrating failure diagnosis technical fields, more particularly to one kind to be based on big data digging technology
Subsidiary engine vibration method for early warning and system.
Background technique
The diagnosis and control of slewing vibration fault be a theory and practice combine closely, based on theory, with
It is practiced as approach, the synthesis sex work for the purpose of solving vibration problem.In power plant, slewing is numerous, all kinds of blowers,
The slewings such as water pump, motor are the important components in heat power generating system.The vibration fault of slewing has prominent
Hair property, endangers the features such as seriousness at duration.Each slewing belongs to some subsystem in power plant, therefore rotation is set
The standby operation for once developing vibration fault and directly affecting subsystem, or even influence the safe operation in entire power plant.Therefore, it is necessary to
A kind of subsidiary engine vibration early warning scheme guarantees the safe and stable operation of Auxiliary Machinery of Power Plant system.
Summary of the invention
The object of the present invention is to provide a kind of, and the subsidiary engine based on big data digging technology vibrates method for early warning and system, to protect
Demonstrate,prove the safe and stable operation of Auxiliary Machinery of Power Plant system.
The present invention provides a kind of, and the subsidiary engine based on big data digging technology vibrates method for early warning, comprising:
Auxiliary Machinery of Power Plant each measuring point historical vibration data A and vibration standard value B is compared with real-time vibration data C,
Obtain comparison result；
If comparison result are as follows: real-time vibration data C is greater than vibration standard value B, issues fault alarm prompt.
Further, if the comparison result are as follows: C/A>2<B issue abnormal vibration warning note.
Further, if comparison result are as follows: C/A > 2 > B issue maintenance prompt.
Further, this method further include:
The information of the prompt of fault alarm described in real-time display, abnormal vibration prompt and maintenance prompt.
The present invention also provides a kind of, and the subsidiary engine based on big data digging technology vibrates early warning system, comprising:
Comparison module is used for Auxiliary Machinery of Power Plant each measuring point historical vibration data A and vibration standard value B and real-time vibration number
It is compared according to C, obtains comparison result；
Warning module, for issuing fault alarm when comparison result is that real-time vibration data C is greater than vibration standard value B
Prompt.
Further, warning module is also used to:
When comparison result is C/A>2<B, abnormal vibration warning note is issued.
Further, warning module is also used to:
When comparison result is C/A > 2 > B, maintenance prompt is issued.
Further, the system further include:
Display module, the information for the prompt of real-time display fault alarm, abnormal vibration prompt and maintenance prompt.
Further, which further includes vibrating data collection system and each measuring point vibration historical data of Auxiliary Machinery of Power Plant
Library, vibrating data collection system are used to acquire the vibration data deposit historical data of each measuring point after Auxiliary Machinery of Power Plant system is built up
Library acquires the vibration data of each measuring point after Auxiliary Machinery of Power Plant system puts into operation in real time.
Further, vibrating data collection system includes vibrating speed sensors and key phase.
According to the above aspect of the present invention, vibrating method for early warning and system by the subsidiary engine based on big data digging technology, can reach
Give warning in advance Auxiliary Machinery of Power Plant vibration fault, the quick purpose for eliminating subsidiary engine vibration fault, ensure that Auxiliary Machinery of Power Plant system
Safe and stable operation.
The above description is only an overview of the technical scheme of the present invention, in order to better understand the technical means of the present invention,
And can be implemented in accordance with the contents of the specification, the following is a detailed description of the preferred embodiments of the present invention and the accompanying drawings.
Detailed description of the invention
Fig. 1 is the structural block diagram that a kind of subsidiary engine based on big data digging technology of the present invention vibrates early warning system.
Figure label:
Each measuring point of 1- Auxiliary Machinery of Power Plant vibrates historical data base；2- comparison module；3- display module；4- warning module；5-
Vibration processing scheme；6- motor；7- subsidiary engine equipment；8- first bearing；9- second bearing；10- 3rd bearing；The 4th axis of 11-
It holds；The vibrating sensor that 12- is horizontally mounted；The vertically arranged vibrating sensor of 13-；The photoelectric sensor that 14- is horizontally mounted；
15- reflective tape.
Specific embodiment
With reference to the accompanying drawings and examples, specific embodiments of the present invention will be described in further detail.Implement below
Example is not intended to limit the scope of the invention for illustrating the present invention.
Present embodiments provide a kind of subsidiary engine vibration method for early warning based on big data digging technology, comprising:
Auxiliary Machinery of Power Plant each measuring point historical vibration data A and vibration standard value B is compared with real-time vibration data C,
Obtain comparison result；Each measuring point historical vibration data A of Auxiliary Machinery of Power Plant can be the vibration data that auxiliary system starts for the first time and
The vibration data of stable operation.
If comparison result are as follows: real-time vibration data C is greater than vibration standard value B, issues fault alarm prompt.
If the comparison result are as follows: C/A>2<B issue abnormal vibration warning note.
If comparison result are as follows: C/A > 2 > B issue maintenance prompt.Vibration engineering teacher can use shutdown chance and overhaul.
After vibration engineering teacher receives warning note, as the case may be, comprehensive historical data, vibration standard value and vibration in real time
Dynamic data carry out overall merit to subsidiary engine vibrational state, provide vibration processing scheme.Reach the Auxiliary Machinery of Power Plant vibration that gives warning in advance
Failure, the purpose for quickly eliminating subsidiary engine vibration fault, guarantee the safe and stable operation of Auxiliary Machinery of Power Plant system.
In the present embodiment, this method further include:
The information of the prompt of fault alarm described in real-time display, abnormal vibration prompt and maintenance prompt.
Join shown in Fig. 1, the present embodiment additionally provides a kind of subsidiary engine vibration early warning system based on big data digging technology, packet
It includes:
Comparison module 2, for vibrating Auxiliary Machinery of Power Plant each measuring point historical vibration data A and vibration standard value B with real-time
Data C is compared, and obtains comparison result；Each measuring point historical vibration data A of Auxiliary Machinery of Power Plant can be auxiliary system and open for the first time
The vibration data of dynamic vibration data and stable operation.
Warning module 4, for issuing fault alarm when comparison result is that real-time vibration data C is greater than vibration standard value B
Prompt.
When comparison result is C/A>2<B, abnormal vibration warning note is issued.
When comparison result is C/A > 2 > B, maintenance prompt is issued.
In the present embodiment, the system further include:
Display module 3, the information for the prompt of real-time display fault alarm, abnormal vibration prompt and maintenance prompt.
In the present embodiment, which further includes vibrating data collection system and each measuring point vibration history number of Auxiliary Machinery of Power Plant
According to library 1, vibrating data collection system is used to acquire the vibration data deposit history of each measuring point after Auxiliary Machinery of Power Plant system is built up
Database acquires the vibration data of each measuring point after Auxiliary Machinery of Power Plant system puts into operation in real time.
In the present embodiment, vibrating data collection system includes vibrating speed sensors and key phase.
The Auxiliary Machinery of Power Plant system include motor 6, subsidiary engine equipment 7, first bearing 8, second bearing 9,3rd bearing 10,
Fourth bearing 11, key phase and vibrating sensor (vibrating sensor 12, the vertically arranged vibrating sensor being horizontally mounted
13, photoelectric sensor 14, the reflective tape 15 being horizontally mounted).On-site generated power machine subsidiary engine vibration velocity is by being mounted on 6 both ends of motor
The vibrating speed sensors of radial journal bearing and two radial journal bearings of subsidiary engine equipment side measure, and vibration phase value is sensed by vibration velocity
Device and key phase measure jointly.
After Auxiliary Machinery of Power Plant system is built up, history is stored in using the vibrating data collection system acquisition vibration data of each measuring point
Database, while vibration standard value is set in historical data base.After auxiliary system puts into operation, vibration acquisition system is adopted in real time
Collect vibration data compared with historical data, vibration standard value, when the amplitude and phase and historical data of the vibration data measured
When differing larger, On-line Tip alarm, vibration engineering teacher provides vibration processing scheme as the case may be, reaches the hair that gives warning in advance
Controlling Auxiliaries in Power Plants vibration fault, the purpose for quickly eliminating subsidiary engine vibration fault, guarantee the safe and stable operation of Auxiliary Machinery of Power Plant system.
The above is only a preferred embodiment of the present invention, it is not intended to restrict the invention, it is noted that for this skill
For the those of ordinary skill in art field, without departing from the technical principles of the invention, can also make it is several improvement and
Modification, these improvements and modifications also should be regarded as protection scope of the present invention.
Claims (10)
1. a kind of subsidiary engine based on big data digging technology vibrates method for early warning characterized by comprising
Auxiliary Machinery of Power Plant each measuring point historical vibration data A and vibration standard value B is compared with real-time vibration data C, is obtained
Comparison result；
If the comparison result are as follows: real-time vibration data C is greater than vibration standard value B, issues fault alarm prompt.
2. a kind of subsidiary engine based on big data digging technology according to claim 1 vibrates method for early warning, which is characterized in that
If the comparison result are as follows: C/A>2<B issue abnormal vibration warning note.
3. a kind of subsidiary engine based on big data digging technology according to claim 2 vibrates method for early warning, which is characterized in that
If the comparison result are as follows: C/A > 2 > B issue maintenance prompt.
4. a kind of subsidiary engine based on big data digging technology according to claim 3 vibrates method for early warning, which is characterized in that
Further include:
The information of the prompt of fault alarm described in real-time display, abnormal vibration prompt and maintenance prompt.
5. a kind of subsidiary engine based on big data digging technology vibrates early warning system characterized by comprising
Comparison module is used for Auxiliary Machinery of Power Plant each measuring point historical vibration data A and vibration standard value B and real-time vibration data C
It is compared, obtains comparison result；
Warning module, for issuing fault alarm when the comparison result is that real-time vibration data C is greater than vibration standard value B
Prompt.
6. a kind of subsidiary engine based on big data digging technology according to claim 5 vibrates early warning system, which is characterized in that
The warning module is also used to:
When the comparison result is C/A>2<B, abnormal vibration warning note is issued.
7. a kind of subsidiary engine based on big data digging technology according to claim 6 vibrates early warning system, which is characterized in that
The warning module is also used to:
When the comparison result is C/A > 2 > B, maintenance prompt is issued.
8. a kind of subsidiary engine based on big data digging technology according to claim 7 vibrates early warning system, which is characterized in that
Further include:
Display module, the information for the prompt of fault alarm described in real-time display, abnormal vibration prompt and maintenance prompt.
9. a kind of subsidiary engine based on big data digging technology according to claim 8 vibrates early warning system, which is characterized in that
It further include that vibrating data collection system and each measuring point vibration historical data base of Auxiliary Machinery of Power Plant, the vibrating data collection system are used
It is stored in the historical data base in the vibration data for acquiring each measuring point after Auxiliary Machinery of Power Plant system is built up, in Auxiliary Machinery of Power Plant system
After system puts into operation, the vibration data of each measuring point is acquired in real time.
10. a kind of subsidiary engine based on big data digging technology according to claim 9 vibrates early warning system, feature exists
In the vibrating data collection system includes vibrating speed sensors and key phase.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201810829276.9A CN109186748A (en) | 2018-07-25 | 2018-07-25 | A kind of subsidiary engine vibration method for early warning and system based on big data digging technology |
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| CN201810829276.9A CN109186748A (en) | 2018-07-25 | 2018-07-25 | A kind of subsidiary engine vibration method for early warning and system based on big data digging technology |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110907031A (en) * | 2019-12-04 | 2020-03-24 | 江苏方天电力技术有限公司 | Visual monitoring method for vibration variation of phase modulator based on data statistical analysis |
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| CN103321839A (en) * | 2012-03-20 | 2013-09-25 | 华锐风电科技(集团)股份有限公司 | Fan vibration monitoring method and system as well as fan monitor |
| CN105928611A (en) * | 2016-04-14 | 2016-09-07 | 中国神华能源股份有限公司 | Fault early-warning system and method of mechanical device |
| CN206638789U (en) * | 2017-04-20 | 2017-11-14 | 哈尔滨理工大学 | Intelligent electric machine vibration online monitoring and early warning system |
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Patent Citations (4)
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| CN103321839A (en) * | 2012-03-20 | 2013-09-25 | 华锐风电科技(集团)股份有限公司 | Fan vibration monitoring method and system as well as fan monitor |
| CN103245912A (en) * | 2013-03-23 | 2013-08-14 | 中国水利电力物资有限公司 | Analytical and diagnostic method for running states of wind turbines |
| CN105928611A (en) * | 2016-04-14 | 2016-09-07 | 中国神华能源股份有限公司 | Fault early-warning system and method of mechanical device |
| CN206638789U (en) * | 2017-04-20 | 2017-11-14 | 哈尔滨理工大学 | Intelligent electric machine vibration online monitoring and early warning system |
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| CN110907031A (en) * | 2019-12-04 | 2020-03-24 | 江苏方天电力技术有限公司 | Visual monitoring method for vibration variation of phase modulator based on data statistical analysis |
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Inventor after: Wang Fengliang Inventor after: Gao Yansong Inventor after: Qi Peng Inventor after: Lu Yuan Inventor after: Qiu Yonggang Inventor before: Gao Yansong Inventor before: Wang Fengliang Inventor before: Qi Peng Inventor before: Lu Yuan Inventor before: Qiu Yonggang |
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Application publication date: 20190111 |
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