CN107907217A - A kind of Novel welder transformer On-line Fault monitoring system and monitoring method - Google Patents
A kind of Novel welder transformer On-line Fault monitoring system and monitoring method Download PDFInfo
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- CN107907217A CN107907217A CN201711109548.XA CN201711109548A CN107907217A CN 107907217 A CN107907217 A CN 107907217A CN 201711109548 A CN201711109548 A CN 201711109548A CN 107907217 A CN107907217 A CN 107907217A
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 29
- 238000000034 method Methods 0.000 title claims abstract description 15
- 238000003909 pattern recognition Methods 0.000 claims abstract description 7
- PXFBZOLANLWPMH-UHFFFAOYSA-N 16-Epiaffinine Natural products C1C(C2=CC=CC=C2N2)=C2C(=O)CC2C(=CC)CN(C)C1C2CO PXFBZOLANLWPMH-UHFFFAOYSA-N 0.000 claims description 7
- 238000001514 detection method Methods 0.000 claims description 5
- 238000004891 communication Methods 0.000 claims description 4
- 238000012545 processing Methods 0.000 claims description 4
- 238000001816 cooling Methods 0.000 claims description 3
- 230000003287 optical effect Effects 0.000 claims description 3
- 238000005057 refrigeration Methods 0.000 claims description 3
- 238000005070 sampling Methods 0.000 claims description 3
- 238000004088 simulation Methods 0.000 claims description 3
- 230000000007 visual effect Effects 0.000 claims description 3
- 230000003321 amplification Effects 0.000 claims 1
- 238000003709 image segmentation Methods 0.000 claims 1
- 238000003199 nucleic acid amplification method Methods 0.000 claims 1
- 230000002787 reinforcement Effects 0.000 claims 1
- 238000003466 welding Methods 0.000 abstract description 6
- 238000005516 engineering process Methods 0.000 abstract description 5
- 238000001931 thermography Methods 0.000 abstract description 3
- 230000005540 biological transmission Effects 0.000 abstract description 2
- 238000005457 optimization Methods 0.000 description 2
- 238000011161 development Methods 0.000 description 1
- 230000002708 enhancing effect Effects 0.000 description 1
- 239000011159 matrix material Substances 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
Classifications
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J5/00—Radiation pyrometry, e.g. infrared or optical thermometry
- G01J5/0096—Radiation pyrometry, e.g. infrared or optical thermometry for measuring wires, electrical contacts or electronic systems
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J5/00—Radiation pyrometry, e.g. infrared or optical thermometry
- G01J2005/0077—Imaging
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- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Spectroscopy & Molecular Physics (AREA)
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Abstract
The present invention discloses a kind of Novel welder transformer On-line Fault monitoring system, belongs to transformer monitoring technical field；The present invention includes transformer infrared image acquisition device, image denoising device, master control set, image intensifier device, image segmenting device, pattern recognition device and infrared picture data storehouse, transformer infrared image acquisition device, image denoising device, master control set, image intensifier device, image segmenting device, pattern recognition device establish a connection successively, and master control set output terminal is established a connection by feeding back with transformer infrared image acquisition device.Present invention simultaneously discloses its monitoring method, including Image Acquisition, analysis and Control and later stage to optimize three steps.The present invention is combined by infrared thermal imaging technique with Bluetooth wireless transmission technology, and the failure of butt welding machine transformer is monitored in real time, and simple in structure, monitoring data precision height, system stability and reliability are high, realize monitoring in real time, and service life is grown, it is easy to accomplish.
Description
Technical field
A kind of transformer fault monitors system and method, belongs to transformer monitoring technical field, relates generally to a kind of new
Welder transformer On-line Fault monitors system and monitoring method.
Background technology
Greatly developed with the development and social progress, welding profession of science and technology, can only more and more be welded
Equipment has entered into daily life, becomes the indispensable equipment of people's productive labor.However, welding equipment is rapidly
Develop that the requirement of butt welding machine transformer is higher and higher, become that people pay close attention to the on-line monitoring of transformer fault asks
Topic.For the failure of butt welding machine transformer mainly by personal monitoring, labor intensity is big, monitoring data precision is low, and cannot be real at present
Monitored when real, it is impossible to meet the daily demand of people.
The content of the invention
To solve the above-mentioned problems, the invention discloses a kind of Novel welder transformer On-line Fault monitoring system and monitoring
Method, simple in structure, monitoring data precision height, system stability and reliability are high, realize monitoring in real time, and service life is grown.
The object of the present invention is achieved like this：
A kind of Novel welder transformer On-line Fault monitors system, including transformer infrared image acquisition device, image are gone
Make an uproar device, master control set, image intensifier device, image segmenting device, pattern recognition device and infrared picture data storehouse, it is described
Transformer infrared image acquisition device, image denoising device, master control set, image intensifier device, image segmenting device, image
Identification device establishes a connection successively, and master control set output terminal is established by feedback and transformer infrared image acquisition device
Connection relation.
The transformer infrared image acquisition device includes infrared optical system, the infrared scan to establish a connection successively
System, infrared detection system, signal processing system and picture signal output system.
The infrared detection system is cooled down by refrigeration machine cooling.
The master control set includes main control chip and the display device and communicator that are connected with main control chip, described logical
T unit includes bluetooth communication.
The bluetooth communication module is BRF6100.
A kind of Novel welder transformer On-line Fault monitoring method, comprises the following steps：
Step 1：Using transformer infrared image acquisition device, the thermal infrared imager in infrared image capturing system is utilized
Realize the comprehensive long-range monitoring to transformer, realize the uninterrupted thermometric to unit under test, dock received target information into
Row denoising, enhancing, dividing processing, then make trickleer and analyze in all directions, the image of transformer is done rotate, tilt,
Brightness increase and the operation of partial enlargement, by the transformer image collected through denoising device denoising.
Infrared thermal imaging collection system among there is more noise source, and each between be that independent statistics are deposited
, while disclosure satisfy that in the requirement of second sufficient and necessary condition in also limiting law again under normal conditions, then
It will be considered that the regularity of distribution of noise present in noise source meets Gaussian Profile rule, the density formula of its probability is：
In formula, δ is standard deviation.
The denoising device uses the denoising mode of mean filter, its principle is：Choose target pixel points (x, y) and its week
While the pixel closed on forms single template, the average value obtained is assigned to (x, y) again, all pixels of such original image
Value is all replaced forming new gray level image by average.Then g (x, y)=1/m ∑ f (x, y), m represents of the pixel in template
Number.
The signal-to-noise ratio of the denoising device is 75-77dB.
Step 2：Change the camera of a simulation, control the shooting visual angle of this camera, so as to obtain complete affine constant
Image.
For affine matrix
It can be decomposed into：
In formula, what ψ was represented is camera itself institute rotational angle parameter value, and what t was represented is known as absolute tilt quantity, φ
What is represented is the longitude angle value that analogue camera has, and what λ was represented is the size of the focal length value of analogue camera.
Step 3：The image photographed according to step 2, fills through image intensifier device, image segmenting device and image recognition
Optimization is put, is analyzed with the transformer image comparison in infrared picture data storehouse, is matched corresponding position, draw transformer
Operating status, and realized and monitored in real time by display device.
Shooting process includes in the step 2：(1) sampling is acquired to the longitude and latitude of shooting time and analogue camera；
(2) obtained sampled value is gone out to the longitude and latitude numerical value of given image through formula scales；(3) by the given image in (2) along up time
Pin direction rotates 45 degree of angles, and is strengthened by brightness and oblique placement, determines the number with given image match point, so that
Obtain complete affine constant image.
Compared with prior art, the present invention having the advantages that, of the invention is rational in infrastructure, passes through infrared thermal imaging
Technology is combined with Bluetooth wireless transmission technology, and the failure of butt welding machine transformer is monitored in real time, simple in structure, monitoring number
It is high according to precision height, system stability and reliability, realize monitoring in real time, service life is grown, it is easy to accomplish.
Brief description of the drawings
Fig. 1 is the overall structure figure of the present invention；
Fig. 2 is the structure chart of the transformer infrared image acquisition device of the present invention.
Embodiment
The specific embodiment of the invention is described in further detail below in conjunction with the accompanying drawings.
A kind of Novel welder transformer On-line Fault monitors system, including transformer infrared image acquisition device, image are gone
Make an uproar device, master control set, image intensifier device, image segmenting device, pattern recognition device and infrared picture data storehouse, it is described
Transformer infrared image acquisition device, image denoising device, master control set, image intensifier device, image segmenting device, image
Identification device establishes a connection successively, and master control set output terminal is established by feedback and transformer infrared image acquisition device
Connection relation.
The transformer infrared image acquisition device includes infrared optical system, the infrared scan to establish a connection successively
System, infrared detection system, signal processing system and picture signal output system.
The infrared detection system is cooled down by refrigeration machine cooling.
The master control set includes main control chip and the display device and communicator that are connected with main control chip, described logical
T unit includes bluetooth communication.
A kind of Novel welder transformer On-line Fault monitoring method, comprises the following steps：
Step 1：Using transformer infrared image acquisition device, the image of transformer is done and rotates, tilt, brightness increase
With the operation of partial enlargement, by the transformer image collected through denoising device denoising；
Step 2：Change the camera of a simulation, control the shooting visual angle of this camera, so as to obtain complete affine constant
Image；
Step 3：The image photographed according to step 2, fills through image intensifier device, image segmenting device and image recognition
Optimization is put, is analyzed with the transformer image comparison in infrared picture data storehouse, is matched corresponding position, draw transformer
Operating status, and realized and monitored in real time by display device.
Shooting process includes in the step 2：(1) sampling is acquired to the longitude and latitude of shooting time and analogue camera；
(2) obtained sampled value is gone out to the longitude and latitude numerical value of given image through formula scales；(3) by the given image in (2) along up time
Pin direction rotates 45 degree of angles, and is strengthened by brightness and oblique placement, determines the number with given image match point, so that
Obtain complete affine constant image.
The signal-to-noise ratio of the denoising device is 75-77dB.
It should be understood that above description is to illustrate rather than to be limited.By reading above-mentioned retouch
State, many embodiments outside the example provided and many applications all will be for a person skilled in the art it is aobvious and
It is clear to.Therefore, the scope of the present invention should not be determined with reference to foregoing description, but should with reference to preceding claims with
And these claims four corners of equivalent for being possessed determines.For comprehensive purpose, all articles and with reference to bag
The disclosure of patent application and bulletin is included all by reference to being incorporated herein.Omitted in preceding claims disclosed herein
Any aspect of theme is not intended to abandon the body matter, also should not be considered as applicant and is not thought of as the theme
A part for disclosed application theme.
Those listed above it is a series of describe in detail only for the application feasibility embodiment specifically
Bright, they are simultaneously not used to the protection domain of limitation the application, all equivalent implementations made without departing from the application skill spirit
Or change should be included within the protection domain of the application.
Claims (7)
1. a kind of Novel welder transformer On-line Fault monitors system, including transformer infrared image acquisition device, image denoising
Device, master control set, image intensifier device, image segmenting device, pattern recognition device and infrared picture data storehouse, its feature exist
In：The transformer infrared image acquisition device, image denoising device, master control set, image intensifier device, image segmentation dress
Put, pattern recognition device establishes a connection successively, master control set output terminal pass through feedback with transformer infrared image acquisition fill
Put and establish a connection.
A kind of 2. Novel welder transformer On-line Fault monitoring system according to claim 1, it is characterised in that：The change
Depressor infrared image acquisition device includes infrared optical system, infrared scanning system, the infrared acquisition to establish a connection successively
System, signal processing system and picture signal output system.
A kind of 3. Novel welder transformer On-line Fault monitoring system according to claim 2, it is characterised in that：It is described red
Outer detection system is cooled down by refrigeration machine cooling.
A kind of 4. Novel welder transformer On-line Fault monitoring system according to claim 2, it is characterised in that：The master
Control device includes main control chip and the display device and communicator that are connected with main control chip, and the communicator includes bluetooth
Communication module.
A kind of 5. Novel welder transformer On-line Fault monitoring method, it is characterised in that：Comprise the following steps：
Step 1：Using transformer infrared image acquisition device, the image of transformer is done rotate, tilt, brightness increases drawn game
The operation of portion's amplification, by the transformer image collected through denoising device denoising；
Step 2：Change the camera of a simulation, control the shooting visual angle of this camera, so as to obtain complete affine constant figure
Picture；
Step 3：The image photographed according to step 2, it is excellent through image intensifier device, image segmenting device and pattern recognition device
Change, analyzed with the transformer image comparison in infrared picture data storehouse, match corresponding position, draw the operation shape of transformer
State, and realized and monitored in real time by display device.
A kind of 6. Novel welder transformer On-line Fault monitoring method according to claim 5, it is characterised in that：The step
Shooting process includes in rapid two：(1) sampling is acquired to the longitude and latitude of shooting time and analogue camera；(2) adopted what is obtained
Sample value goes out the longitude and latitude numerical value of given image through formula scales；(3) given image in (2) is rotated in a clockwise direction 45 degree
Angle, and by brightness reinforcement and oblique placement, the number with given image match point is determined, so as to obtain complete affine constant figure
Picture.
A kind of 7. Novel welder transformer On-line Fault monitoring method according to claim 5, it is characterised in that：It is described to go
The signal-to-noise ratio of device of making an uproar is 75-77dB.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711109548.XA CN107907217A (en) | 2017-11-11 | 2017-11-11 | A kind of Novel welder transformer On-line Fault monitoring system and monitoring method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711109548.XA CN107907217A (en) | 2017-11-11 | 2017-11-11 | A kind of Novel welder transformer On-line Fault monitoring system and monitoring method |
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| Publication Number | Publication Date |
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| CN107907217A true CN107907217A (en) | 2018-04-13 |
Family
ID=61845080
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| CN201711109548.XA Pending CN107907217A (en) | 2017-11-11 | 2017-11-11 | A kind of Novel welder transformer On-line Fault monitoring system and monitoring method |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110189313A (en) * | 2019-05-27 | 2019-08-30 | 福建省特种设备检验研究院 | The pre-judging method of electric fault image recognition based on infrared thermal imaging technique |
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