CN106679821A - Portable power equipment fault recognition detector based on infrared image, and operating method for portable power equipment fault recognition detector - Google Patents
Portable power equipment fault recognition detector based on infrared image, and operating method for portable power equipment fault recognition detector Download PDFInfo
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- CN106679821A CN106679821A CN201710075629.6A CN201710075629A CN106679821A CN 106679821 A CN106679821 A CN 106679821A CN 201710075629 A CN201710075629 A CN 201710075629A CN 106679821 A CN106679821 A CN 106679821A
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- 238000011017 operating method Methods 0.000 title abstract 2
- 238000012545 processing Methods 0.000 claims abstract description 16
- 230000003993 interaction Effects 0.000 claims description 18
- 238000004458 analytical method Methods 0.000 claims description 17
- 238000003745 diagnosis Methods 0.000 claims description 16
- 238000000034 method Methods 0.000 claims description 9
- 238000001931 thermography Methods 0.000 claims description 8
- 238000002405 diagnostic procedure Methods 0.000 claims description 6
- 239000011159 matrix material Substances 0.000 claims description 4
- 230000015654 memory Effects 0.000 claims description 4
- 230000007935 neutral effect Effects 0.000 claims description 4
- 238000012423 maintenance Methods 0.000 claims description 3
- 230000007257 malfunction Effects 0.000 claims description 3
- 238000005259 measurement Methods 0.000 claims description 3
- 230000011218 segmentation Effects 0.000 claims description 3
- 238000011156 evaluation Methods 0.000 abstract 1
- 238000007689 inspection Methods 0.000 description 5
- 230000006870 function Effects 0.000 description 3
- 238000013459 approach Methods 0.000 description 2
- 230000006399 behavior Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000009977 dual effect Effects 0.000 description 2
- 238000003331 infrared imaging Methods 0.000 description 2
- 230000019771 cognition Effects 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000009931 harmful effect Effects 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 230000002035 prolonged effect Effects 0.000 description 1
Classifications
-
- 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
- G01J5/02—Constructional details
- G01J5/0265—Handheld, portable
-
- 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
- G01J5/02—Constructional details
- G01J5/04—Casings
-
- 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)
- Image Processing (AREA)
Abstract
The invention discloses a detector, and especially relates to a portable power equipment fault recognition detector based on an infrared image, and an operating method for the portable power equipment fault recognition detector. The detector comprises a housing and an external equipment assembly, wherein the interior of the housing is provided with an image processing module and output equipment. One side end of the housing is provided with a USB interface and an SD card extension interface, and the other side end of the housing is provided with a power switch/resetting part, a power interface, and a thermal infrared imager interface. The detector is compact in structure, is portable, and has a function of displaying an evaluation result of an operation state of power equipment and a function of fault equipment alarm.
Description
Technical field
The present invention is a kind of detector, more particularly to a kind of portable power equipment fault identification inspection based on infrared image
Survey instrument and its operational approach.
Background technology
As electrical network scale constantly expands, the safe and stable operation of bulk power grid, efficient, accurate electrical equipment fault are ensured
Diagnostic method demand is further urgent.Because the failure of power equipment is showed in the form of generating heat mostly, therefore infrared image
Have a wide range of applications in Fault Diagnosis for Electrical Equipment.
Being currently based on the Fault Diagnosis for Electrical Equipment method of infrared image mainly has by the way of manual inspection, hand-held red
Outer thermal imaging system equipment judges the running status of power equipment with artificial experience, so as to find out failure and incipient fault equipment.
The existing electrical equipment fault method based on infrared image, a kind of by the way of manual inspection, hand-held infrared heat
As instrument equipment judges the running status of power equipment with artificial experience, so as to find out failure and incipient fault equipment.But people
Work experience is often all less identical, larger for the probability that the new hand for lacking experience just judges by accident, and artificial judgment speed also compared with
Slowly, for large-scale power station, artificial judgment not only inefficiency, prolonged work also results in False Rate and increases, and this is all right
Reliably operation causes harmful effect to power grid security;It is another kind of mainly by manual inspection when the infrared picture data that gathers upload
Data service center, fault diagnosis is carried out by computer with reference to experts database, diagnosis speed and accuracy compared with artificial cognition have compared with
Big lifting, but so generally requiring all to shoot power station equipment infrared image when patrolling and examining finishes, and brings back machine room upload
Data service center is analyzed diagnosis, then goes back to be further analyzed faulty equipment process, so cannot be when patrolling and examining
Accomplish real-time fault analysis, patrol officer cannot in real time obtain diagnostic result, and the promptness of fault discovery cannot be protected.
Separately there are a kind of electrical equipment fault analysis based on infrared imaging temperature measuring and diagnostic system, number of patent application:
201520493768, the technical scheme obtains power equipment infrared image by online infrared imaging temperature measuring instrument first, and exports
Infrared image analogue signal comprising measured temperature;Again infrared figure analogue signal is converted into into digital signal by A/D converter
And it is sent to monitoring computer;Data storage device is used to store infrared image;Data Analysis Services module is used for infrared figure
As carrying out fault analysis and handling.
The content of the invention
The present invention mainly solution the deficiencies in the prior art, compact conformation, when patrolling and examining mainly for power equipment
It is difficult to obtain the problem of failure condition in real time, by designing a kind of portable power equipment fault identification inspection based on infrared image
Instrument is surveyed, for patrol officer a kind of real-time fault diagnosis equipment is provided, faulty equipment is found in time, be conveniently marked and enter
A kind of portable power equipment fault identification detector and its operational approach based on infrared image that one step is safeguarded.
What the above-mentioned technical problem of the present invention was mainly addressed by following technical proposals:
A kind of portable power equipment fault identification detector based on infrared image, including housing and external equipment component, institute
Image processing modules and outut device are provided with the housing stated, a side of described housing is provided with USB interface and SD card extension
Interface, another side of described housing is provided with and off switch/reset, power interface and thermal infrared imager interface;
Described external equipment component and the image processing modules in housing in being unidirectionally connected, described image processing modules with it is defeated
It is in be bi-directionally connected to go out equipment;
Described external equipment component includes thermal infrared imager and extension SD card, and described thermal infrared imager connects with thermal infrared imager
Mouth is connected, and described extension SD card is inserted in SD card expansion interface;
Described image processing modules include processor, internal memory and high-speed image processor;
Described outut device includes man-machine interaction touch screen, and described man-machine interaction touch screen is embedded in housing.
A kind of diagnostic method of the portable power equipment fault identification detector based on infrared image, by being entered with step
OK:
(1), principle analysis:
First by the Freescale i.MX6Q of ARM A9 series, with powerful computational power, run Linux system and carry
QT human-computer interaction interfaces, by operation interface external thermal infrared imager is read, and using FLIR T630 thermal infrared imagers, precision is
0.040C, measurement range -400C -1500The power equipment infrared image of C or external SD card;Then call DSP6748 serial
Image processor, by infrared image Target Segmentation is carried out, and obtains the maximum temperature and mean temperature of ambient temperature and equipment, most
Afterwards accident analysis is carried out to infrared image using the diagnostic cast of matrix neutral net, and diagnostic result is included in touch screen
On, alarm logging is carried out to faulty equipment, remind the further analyzing and diagnosing of patrol officer;
(2), diagnostic method:
(1), patrol mode:
Patrol mode is selected by man-machine interaction touch screen after device power-up, connecting fault diagnostic device and FLIR T630 are red
Outer thermal imaging system, by thermal imaging system power equipment is directed at, and touch screen will display device maximum temperature, minimum temperature and average in real time
Temperature, and equipment running status are estimated, when assessed value less than 60 timesharing can also automatic alarm, remind patrol officer to set
It is standby to be in malfunction, need to be further analyzed it and maintenance;
(2), fault diagnosis model
Fault diagnosis model is selected by man-machine interaction touch screen after device power-up, while inserting SD RAM (random access memory) card, operating system
Interface, selection has the file of power equipment infrared image, clicks on diagnostic analysiss, and system can automatically to all red in file
Outer image carries out diagnostic analysiss, and its running status is estimated, and number of devices and its picture of the statistical estimation value less than 60
Title, is easy to operator to be further analyzed process.
Wherein:
External input module:Including thermal infrared imager and extension SD card, predominantly this equipment offer power equipment infrared image comes
Source, for equipment fault diagnosis initial data is provided;
Image processing module:Linux is run including ARM A9 dual core processors, system is provided for this equipment and is supported;DDR3 internal memories,
Realize infrared image high speed storing;DSP picture processing chips, realize the high speed processing of power equipment infrared image.
Human-computer interaction module:Comprising one piece of touch screen, human-computer interaction function is realized, patrol officer can operate screen to read
The running status of power equipment, and with fault alarm function.
Operation principle:Including external input module, image processing module and human-computer interaction module, linux is built by ARM
System, reads the power equipment infrared image of external thermal infrared imager or external SD card;Then DSP image processors are called,
Accident analysis is carried out to infrared image using the diagnostic cast of matrix neutral net;Finally diagnostic result is included in touch screen
On.
ARM is A9 dual core processors, and DSP is TMS320C6415 high-speed image processors, and whole device small volume is convenient
Carry.
When solving power equipment infrared image fault diagnosis, it is impossible to which obtaining analysis result, the diagnostic equipment in real time cannot be carry-on
Carry(Carrying with trouble-shooter can in real time obtain diagnostic result)The problems such as, invent it is a kind of based on infrared image just
Formula electrical equipment fault identification detector is taken, the diagnostic result of power equipment can be in real time obtained.
Therefore, a kind of portable power equipment fault identification detector and its behaviour based on infrared image that the present invention is provided
Make method, compact conformation, portable, the assessment result with display power equipment running status in real time, and faulty equipment report
The function such as alert.
Description of the drawings
Fig. 1 is the positive structure schematic of the present invention;
Fig. 2 is the left surface structural representation of the present invention;
Fig. 3 is the right flank structural representation of the present invention;
Fig. 4 is the system architecture diagram of the present invention;
Fig. 5 is the device Operation interface diagram of the present invention;
Fig. 6 is the patrol mode surface chart of the present invention;
Fig. 7 is the fault diagnosis model surface chart of the present invention.
Specific embodiment
Below by embodiment, and accompanying drawing is combined, technical scheme is described in further detail.
Embodiment:As shown in Figure 1, Figure 2, shown in Fig. 3, Fig. 4, Fig. 5, Fig. 6 and Fig. 7, a kind of portable electric based on infrared image
Power equipment fault identification detector, including housing 1 and external equipment component 2, in described housing 1 image processing modules 3 are provided with
With outut device 4, a side of described housing 1 is provided with USB interface 5 and SD card expansion interface 6, described housing 1 it is another
Side is provided with and off switch/reset 7, power interface 8 and thermal infrared imager interface 9;
Described external equipment component 2 is in unidirectionally to be connected with the image processing modules 3 in housing 1, described image processing modules 3
It is in be bi-directionally connected with outut device 4;
Described external equipment component 2 includes thermal infrared imager 10 and extension SD card 11, described thermal infrared imager 10 with it is infrared
Thermal imaging system interface 9 is connected, and described extension SD card 11 is inserted in SD card expansion interface 6;
Described image processing modules 3 include processor 12, internal memory 13 and high-speed image processor 14;
Described outut device 4 includes man-machine interaction touch screen 15, and described man-machine interaction touch screen 15 is embedded in housing 1.
A kind of diagnostic method of the portable power equipment fault identification detector based on infrared image, by being entered with step
OK:
(1), principle analysis:
First by the Freescale i.MX6Q of ARM A9 series, with powerful computational power, run Linux system and carry
QT human-computer interaction interfaces, by operation interface external thermal infrared imager is read, and using FLIR T630 thermal infrared imagers, precision is
0.040C, measurement range -400C -1500The power equipment infrared image of C or external SD card;Then call DSP6748 serial
Image processor, by infrared image Target Segmentation is carried out, and obtains the maximum temperature and mean temperature of ambient temperature and equipment, most
Afterwards accident analysis is carried out to infrared image using the diagnostic cast of matrix neutral net, and diagnostic result is included in touch screen
On, alarm logging is carried out to faulty equipment, remind the further analyzing and diagnosing of patrol officer;
(2), diagnostic method:
(1), patrol mode:
Patrol mode is selected by man-machine interaction touch screen after device power-up, connecting fault diagnostic device and FLIR T630 are red
Outer thermal imaging system, by thermal imaging system power equipment is directed at, and touch screen will display device maximum temperature, minimum temperature and average in real time
Temperature, and equipment running status are estimated, when assessed value less than 60 timesharing can also automatic alarm, remind patrol officer to set
It is standby to be in malfunction, need to be further analyzed it and maintenance;
(2), fault diagnosis model
Fault diagnosis model is selected by man-machine interaction touch screen after device power-up, while inserting SD RAM (random access memory) card, operating system
Interface, selection has the file of power equipment infrared image, clicks on diagnostic analysiss, and system can automatically to all red in file
Outer image carries out diagnostic analysiss, and its running status is estimated, and number of devices and its picture of the statistical estimation value less than 60
Title, is easy to operator to be further analyzed process.
Claims (2)
1. a kind of portable power equipment fault identification detector based on infrared image, it is characterised in that:Including housing(1)With
External equipment component(2), described housing(1)In be provided with image processing modules(3)And outut device(4), described housing(1)
A side be provided with USB interface(5)With SD card expansion interface(6), described housing(1)Another side be provided with and off switch/
Reset(7), power interface(8)With thermal infrared imager interface(9);
Described external equipment component(2)With housing(1)In image processing modules(3)In unidirectional connection, at described image
Reason component(3)With outut device(4)In being bi-directionally connected;
Described external equipment component(2)Including thermal infrared imager(10)With extension SD card(11), described thermal infrared imager
(10)With thermal infrared imager interface(9)It is connected, described extension SD card(11)It is inserted into SD card expansion interface(6)In;
Described image processing modules(3)Including processor(12), internal memory(13)And high-speed image processor(14);
Described outut device(4)Including man-machine interaction touch screen(15), described man-machine interaction touch screen(15)It is embedded in shell
Body(1)In.
2. a kind of diagnosis of the portable power equipment fault identification detector based on infrared image according to claim 1
Method, it is characterised in that by being carried out with step:
(1), principle analysis:
First by the Freescale i.MX6Q of ARM A9 series, with powerful computational power, run Linux system and carry
QT human-computer interaction interfaces, by operation interface external thermal infrared imager is read, and using FLIR T630 thermal infrared imagers, precision is
0.040C, measurement range -400C -1500The power equipment infrared image of C or external SD card;Then call DSP6748 serial
Image processor, by infrared image Target Segmentation is carried out, and obtains the maximum temperature and mean temperature of ambient temperature and equipment, most
Afterwards accident analysis is carried out to infrared image using the diagnostic cast of matrix neutral net, and diagnostic result is included in touch screen
On, alarm logging is carried out to faulty equipment, remind the further analyzing and diagnosing of patrol officer;
(2), diagnostic method:
(1), patrol mode:
Patrol mode is selected by man-machine interaction touch screen after device power-up, connecting fault diagnostic device and FLIR T630 are red
Outer thermal imaging system, by thermal imaging system power equipment is directed at, and touch screen will display device maximum temperature, minimum temperature and average in real time
Temperature, and equipment running status are estimated, when assessed value less than 60 timesharing can also automatic alarm, remind patrol officer to set
It is standby to be in malfunction, need to be further analyzed it and maintenance;
(2), fault diagnosis model
Fault diagnosis model is selected by man-machine interaction touch screen after device power-up, while inserting SD RAM (random access memory) card, operating system
Interface, selection has the file of power equipment infrared image, clicks on diagnostic analysiss, and system can automatically to all red in file
Outer image carries out diagnostic analysiss, and its running status is estimated, and number of devices and its picture of the statistical estimation value less than 60
Title, is easy to operator to be further analyzed process.
Priority Applications (1)
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CN201710075629.6A CN106679821A (en) | 2017-02-13 | 2017-02-13 | Portable power equipment fault recognition detector based on infrared image, and operating method for portable power equipment fault recognition detector |
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CN201710075629.6A CN106679821A (en) | 2017-02-13 | 2017-02-13 | Portable power equipment fault recognition detector based on infrared image, and operating method for portable power equipment fault recognition detector |
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Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109387286A (en) * | 2017-08-03 | 2019-02-26 | 阿自倍尔株式会社 | Radiation Environmental Assessment system and Radiation Environmental Assessment method |
Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2007133472A (en) * | 2005-11-08 | 2007-05-31 | Fuji Xerox Co Ltd | Fault diagnostic device and fault diagnostic method |
CN102169017A (en) * | 2010-12-25 | 2011-08-31 | 江西九江供电公司 | Online monitoring system for infrared thermal imaging of converting station |
CN202453085U (en) * | 2011-11-30 | 2012-09-26 | 黑龙江八一农垦大学 | Power transformer overheat fault detector |
CN104330723A (en) * | 2014-10-24 | 2015-02-04 | 陕西玉航电子有限公司 | Portable infrared circuit fault detection system |
CN104913851A (en) * | 2015-07-10 | 2015-09-16 | 江苏省电力公司苏州供电公司 | On-line infrared temperature-measurement expert diagnosis system for electric equipment |
CN105157845A (en) * | 2015-07-10 | 2015-12-16 | 江苏省电力公司苏州供电公司 | Electric equipment fault analysis and diagnosis method and system based on infrared imaging temperature measurement |
CN106324449A (en) * | 2015-07-01 | 2017-01-11 | 云南电网有限责任公司昆明供电局 | Partial discharge inspection system of portable switch cabinet |
-
2017
- 2017-02-13 CN CN201710075629.6A patent/CN106679821A/en active Pending
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2007133472A (en) * | 2005-11-08 | 2007-05-31 | Fuji Xerox Co Ltd | Fault diagnostic device and fault diagnostic method |
CN102169017A (en) * | 2010-12-25 | 2011-08-31 | 江西九江供电公司 | Online monitoring system for infrared thermal imaging of converting station |
CN202453085U (en) * | 2011-11-30 | 2012-09-26 | 黑龙江八一农垦大学 | Power transformer overheat fault detector |
CN104330723A (en) * | 2014-10-24 | 2015-02-04 | 陕西玉航电子有限公司 | Portable infrared circuit fault detection system |
CN106324449A (en) * | 2015-07-01 | 2017-01-11 | 云南电网有限责任公司昆明供电局 | Partial discharge inspection system of portable switch cabinet |
CN104913851A (en) * | 2015-07-10 | 2015-09-16 | 江苏省电力公司苏州供电公司 | On-line infrared temperature-measurement expert diagnosis system for electric equipment |
CN105157845A (en) * | 2015-07-10 | 2015-12-16 | 江苏省电力公司苏州供电公司 | Electric equipment fault analysis and diagnosis method and system based on infrared imaging temperature measurement |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109387286A (en) * | 2017-08-03 | 2019-02-26 | 阿自倍尔株式会社 | Radiation Environmental Assessment system and Radiation Environmental Assessment method |
CN109387286B (en) * | 2017-08-03 | 2021-02-23 | 阿自倍尔株式会社 | Radiation environment evaluation system and radiation environment evaluation method |
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