CN102565625B - Method for intelligently diagnosing thermal defects of high-voltage transmission line based on infrared image - Google Patents
Method for intelligently diagnosing thermal defects of high-voltage transmission line based on infrared image Download PDFInfo
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Abstract
The invention relates to a method for intelligently diagnosing thermal defects of a high-voltage transmission line based on an infrared image, being a method for automatically detecting thermal defects of a transmission line in a shot infrared image in a sports mode. The method comprises the following operating steps of: 1, adopting parts in a clustering recognition line based on line object perception; effectively removing the influence of heating of automobiles running on the ground, ground heat sources and reflecting heat of pole towers in complex natural scenery to thermal defect diagnosis of lines; 2, and adopting a relative temperature difference method to diagnose whether the recognized line part has thermal defects, eliminating the influence of additional temperature rise due to solar radiation, and meanwhile reducing errors due to inaccurate parameters of detected distance, environmental temperature, humidity, wind speed and the like. According to the method, the efficiency of detection for the thermal defects of the transmission line can be effectively increased. The method is effectively applied to inspection business of vehicle-mounted or helicopter transmission lines.
Description
Technical field
The present invention relates to a kind of method based on thermal-induced imagery Intelligent Measurement ultra-high-tension power transmission line thermal defect.Specially refer to the thermal defect method that Intelligent Measurement transmission line of electricity exists from the infrared image photographing under motion state, the method can effectively improve the efficiency that transmission line of electricity thermal defect is detected.The method can effectively be applied in vehicle-mounted or helicopter polling transmission line business.
Background technology
Ultra-high-tension power transmission line is the artery of electric system, its running status directly determines the operation of safety and the national economy of electric system, the features such as infrared detection has at a distance, does not have a power failure, does not contact, do not disintegrate, can find the pyrogenicity defect of multiple power equipment, a kind of advanced means is provided to circuit on power system status monitoring.
Thermal infrared imager is that the infrared energy distribution pattern that utilizes infrared eye, optical imagery object lens and focal plane photoinduction system to accept measured target is reflected in the photosensitive unit of infrared eye, between optical system and infrared eye, photoinduction system in focal plane focuses on the infrared thermal imagery of testee on infrared eye, convert infrared energy to electric signal by detector, show Infrared Thermogram through amplifying processing, conversion or vision signal by TV screen or monitor.
A lot of in the outdoor factor that affects infrared heat image instrument measuring precision.As high Xiao Ming, affect the factor analysis of infrared heat image instrument measuring precision, magnificent power technology, in November, 2008, the 30th volume o. 11th, has analyzed these several factors: the radiance of different testees is different.The radiance of object is all between 0 ~ 1, and the material of its size and object, surfaceness, shape, degree of oxidation, color, thickness etc. all have certain relation.For transmission line of electricity metal material, surface state is larger on the impact of radiance, and the radiance of general rough surface and oxidated rear surface is the several times of polished surface; Radiance is relevant with the angle of measurement, and the angle of measurement is larger, and error is larger; Environment is larger on the impact of infrared measurement of temperature work: in the transmitting procedure of infrared radiation, due to the absorption of atmosphere, always have certain energy attenuation, in subaerial atmosphere, the gas that absorbs infrared energy mainly contains water vapor, carbon dioxide.Existing most of thermal infrared imagers do not have the compensatory device for atmospheric attenuation; In the time of sunshine or strong light-illuminating, due to reflection and the diffuse reflection of light, can greatly affect the normal work of thermal infrared imager and accurately judgement, simultaneously, light irradiates and causes the temperature rise of testee to be slightly added on the stable temperature rise of equipment under test, directly cause measuring error, therefore infrared measurement of temperature work is preferably chosen in the cloudy day that there is no sunlight; When testee is in outdoor and while having wind, the mobile of air can accelerate the heat radiation on thermal objects surface, and body surface temperature is reduced; Dust in atmosphere and suspended particles are another reasons of infrared radiation energy attenuation in communication process; The impact of adjacent object heat radiation on thermometric, testee temperature is lower or radiance is less, is subject to the thermal-radiating impact of adjacent object larger, larger on the impact of temperature measurement accuracy; In the time there is overheating defect in a certain parts in transmission line of electricity series loop, operating electrical connector parts conduction towards periphery heat, cause the miscellaneous part heating near heat spot in loop, but due to lossy in heat transfer process, these temperature than heat spot are lower, therefore, and in the time carrying out thermometric, must accomplish accurate location, find real pyrotoxin.
Thermal infrared imager detects the normal measuring method adopting of transmission line of electricity defect to be had, as Cheng Yulan, and infrared diagnostics practical technology [M]. Beijing: China Machine Press, 2002,4.Similar relative method: parts same circuit diverse location, same type are carried out to temperature rise ratio, and then judge whether to exist thermal defect; Historical comparison method: to same circuit different times, the heat picture of taking the parts of same position same type carries out temperature rise ratio, and then judges whether to exist thermal defect.Similar relative method, these two kinds of thermal defect analysis method comparisons of historical comparison method are reliable but efficiency is lower, need a large amount of measurement data to analyze.Absolute temperature police circles temperature rise method: according to wire type, a temperature threshold of load current regulation, exceed this temperature threshold, may have thermal defect, because environment is larger on testee impact, as the temperature rise that solar radiation causes, therefore this method unreliable, also inaccurate.
Hu Shizheng, relative temperature difference determining method and the criterion of Infrared Diagnosis for Electric Equipment, electric power network technique, in October, 1998, the 22nd the 10th phase of volume.Relative temperature difference refers to the temperature difference between two corresponding measuring points of two status of equipments identical or basic identical (referring to unit type, infield, environment temperature, surface appearance and payload), and wherein compared with the percentage of temperature rise of hot spot ratio.
Guo Xianxiao, Li Wei, Cai Hansheng, Primary Investigation on Infrared Diagnosis of HV Transmission Lines, HIGH VOLTAGE ENGIINEERING, June.1999, Vol.25, No.2.In the time of transmission line of electricity infra-red heat defects detection, often adopt absolute temperature difference method: getting near the wire of the 1m of the measurand normal operation in place far away or the maximum temperature of line hardware is reference temperature
t a , the temperature of measured object is
t,
△ T=
t-
t a , according to
△ Tjudge thermal defect situation, this method can be eliminated the impact of the additional temperature rise that solar radiation causes.Meanwhile, the error of bringing due to same tropism, detection distance, environment temperature, humidity, the isoparametric inaccuracy of wind speed has also reduced.At full capacity time, high-tension line heating judgement is got
△ Texceed 5
.when C, can think and have slight contact hidden danger (general thermal defect),
△ Texceed 15
.c is significant deficiency,
△ Texceed 40
.c is urgent defect.
Yu Deming, Shen Jian, Wang Jun, Yao Wenjun, Chen Fangdong, skill in martial arts, helicopter and manual patrol Contrast on effect are analyzed, China Power, in November, 2008, the 41st volume o. 11th.Present Domestic is all set about the cruising inspection system of research based on helicopter and robot outward, analyzes the relative merits that compare helicopter routing inspection and manual inspection, points out that helicopter tour is having incomparable advantage aspect inspection equipment inner-defect ability.In helicopter routing inspection technology, China, owing to being subject to the hysteresis that interferes with the development of air traffic control, just really starts research and development at the beginning of 21 century.And be the future development synthetic towards multispectral image in the outfit of equipment of detection defective FRU, the diagnosis detection technique of high-tension line parts develops towards intelligent direction.
Adopting helicopter to carry out while patrolling and examining business, thermal infrared imager is the important means of a detection line thermal defect.Wish to adopt thermal infrared imager can automatically find circuit thermal defect.Owing to disturbed by earth background, the impact of automobile, ground heater and the shaft tower reflection heating itself of for example ground run, automatically find that circuit thermal defect is a very difficult thing, the present invention adopts infrared image identification and relative temperature difference method combination technology, Intelligent Recognition circuit parts on infrared image, on the basis of identification component, find maximum temperature, then adopt the judgement of relative temperature difference method whether to have the parts of thermal defect.Intelligent Measurement high-tension line thermal defect when the method can effectively be applied to helicopter or vehicle-mounted patrolling and examining.
Summary of the invention
In view of this, object of the present invention is exactly in the time of helicopter routing inspection or vehicle-mounted patrolling and examining, the infrared image intelligent diagnostics being collected by thermal infrared imager goes out the thermal defect that circuit exists, a kind of method based on infrared image intelligent high-pressure transmission line of electricity thermal defect is provided, in the time that high-tension line is patrolled and examined, can effectively improve thermal defect diagnosis efficiency.
For achieving the above object, design of the present invention is as follows: the present invention requires can effectively get rid of background interference in the time of helicopter routing inspection or vehicle-mounted patrolling and examining, the thermal source that for example in natural complex background, the automobile of ground run or ground heater send, shaft tower is the heating under the long-time irradiation of the sun originally, these thermal source objects are superimposed upon on infrared image together with circuit parts heating, usually affect the judgement to actual track part temperatures, and then cause a large amount of erroneous judgements.On transmission line of electricity, infra-red heat defect often appears at wire, drainage thread, insulator and these parts thereof and connects contact site.Therefore identifying wire in transmission line of electricity, drainage thread, insulator part, the thermal defect of reliable diagnosis circuit automatically.
The present invention is combined the identification of infrared image circuit parts with relative temperature difference Technology of Judgment, intelligence realizes the diagnosis to circuit parts thermal defect.In each part temperatures region of identification, automatically find out maximum temperature, using this maximum temperature pixel as Seed Points, adopt region growing method, spend as edge judgment condition lower than maximum temperature 5, generate a highest temperature region, peanut as large in this highest temperature region is approximate consistent with this part temperatures area size number, and this part temperatures is normal; Peanut as large in highest temperature region is significantly less than this part temperatures area size number, using this parts highest temperature region exterior pixel as a region, calculates medial temperature in highest temperature region; Calculate except maximum temperature exterior domain medial temperature, adopt relative temperature difference method, diagnose these parts whether to have thermal defect.Relative temperature difference method can be eliminated the impact of the additional temperature rise that solar radiation causes, and, the inaccurate errors of bringing of parameter such as detecting distance, environment temperature, humidity, wind speed is also reduced meanwhile.
From helicopter, thermal infrared imager is taken transmission line of electricity scenery: be made up of natural background and transmission line of electricity.Form structure from transmission line of electricity: formed by the wire between straight line pole, strain rod tower, shaft tower and ground wire.
Due to the object of some heatings in natural scene, the automobile travelling, shaft tower itself heating under solar radiation, these heating objects usually disturb the diagnosis of thermal infrared imager to circuit thermal defect, cause erroneous judgement, directly affect correctness and the reliability of infra-red heat defect diagonsis.As adopt professional infrared analysis software to analyze the thermal defect of circuit on infrared image, need a large amount of interactive operations, first rely on human eye to find out line facility from infrared image, adopt region maximum temperature analytic approach to find whether there is thermal defect, during due to helicopter routing inspection, adopt in real time a large amount of infrared picture data, adopt interaction analysis diagnosis, working strength is very high, and thermal defect diagnosis efficiency is lower.
In order to improve the efficiency of infra-red heat defect diagonsis, in the time of helicopter routing inspection or vehicle-mounted patrolling and examining, realize and gather infrared image on one side, diagnose thermal defect on circuit on one side, and then improve infra-red heat defect diagonsis efficiency.Therefore need to identify from infrared image the circuit parts of current loading, as the contact area of wire, drainage thread, insulator and these parts, in each component area of identification, adopt again the thermal defect of relative temperature difference method deagnostic package.
Identification circuit parts on infrared image, the position relationship between the knowledge model of model circuit and parts are upper and lower.High-tension line can be regarded as by the line segment of different directions and form: wire is made up of multistage parallel lines object, drainage thread is reclinate curve, shaft tower is made up of the line segment splicing of different directions, and insulator is connected with the stable relation that wire, drainage thread, shaft tower high pressure have fixed position.
The infrared image of collection is classified.Because thermal infrared imager can not all be filmed 500 corridors, rice noodles road between two shaft towers, therefore the circuit thermal-induced imagery of collection is divided three classes: in first kind infrared image, there is no shaft tower, only there is wire, wire is made up of many parallel straight line objects, and runs through infrared image whole process; In Equations of The Second Kind infrared image, both there is wire, had again shaft tower and for straight line pole; The 3rd class infrared image is defined as: in image, both had wire, and had again shaft tower and for strain rod tower.
According to foregoing invention design, the present invention adopts following technical proposals: a kind of method based on infrared image intelligent diagnostics high-tension line thermal defect, is characterized in that operation steps is as follows:
1, adopt based on line object perceptual grouping algorithm identified circuit parts, concrete steps are as follows:
1-1, boundary operator with direction are processed infrared image, extract horizontal line section, vertical line segment, oblique line section, segment of curve, generate infrared bianry image by two poor methods between maximum kind, are designated as IB (i, j) and represent infrared bianry image;
1-2, on the infrared bianry image of step 1-1, calculate slope and the intercept of each level, inclination, vertical little line segment, by little line segment identical with intercept slope, merge and be connected to long straight line line segment; The mode that is total to end points by analyzing little line segment is carried out matched curve section;
1-3, on the infrared bianry image of step 1-2 perpendicular bisected region, analyze the little line segment distribution density of three classes in each region; As there is level simultaneously, the region that vertical, inclined line segment distribution density is higher, confirm as the infrared image that comprises shaft tower; Comprise straight line pole infrared image as not having curve in shaft tower image, confirming as; In shaft tower image, there is curve, confirm as and comprise strain rod tower infrared image;
1-4, by horizontal line section and inclined line segment, slope is approximate identical, the line segment that intercept is different classifies as sets of parallel; And confirm as wire group;
1-5, according to step 1-3 and step 1-4, in the infrared image that comprises straight line pole in confirmation, as there are two groups of parallel wires, judge adjacent end points degree of closeness, relatively expand wire simultaneously, these two groups of wires are intersected, have composite insulator in the vertical direction of intersection point, infer composite insulator position, as the composite insulation subassembly of identification; As there is one group of parallel wire, the end points adjacent with shaft tower region, by its end points of 16*8 size pixel area extension, makes it effectively expand to the contact area between circuit parts;
1-6, according to step 1-3 and step 1-4, in the infrared image that comprises strain rod tower in confirmation, as there is parallel wire group, judgement and curve adjacent wires end points, on the parallel extending direction of this end points, there is glass insulation subassembly, infer glass insulator position, as the glass insulation subassembly of identification;
1-7, by identification wire, drainage thread, independently connected region structure management for insulator position coordinates, specifically adopt following structure management, for the management to identification component;
struct part_object {
PART_NAME part_ID;
unsigned int elements_number;
vector<struct Element> elements;
// parts circumscribed rectangular region coordinate
int leftx, lefty;
int topx, topy;
int rightx, righty;
int bottomx, bottomy;
}
On infrared image, will identify each component area position coordinates subject area BLOB and manage, set up the mapping between each component area pixel and corresponding actual temperature, and then set up each part temperatures region.
2, identifying in each component area, adopt relative temperature difference method to diagnose its thermal defect, concrete thermal defect diagnosis adopts following process:
2-1, read each component area of identification, according to its area pixel coordinate, from infrared temperature image I W(i, j) upper, read temperature value actual in this region, adopt piecemeal automatically to find out maximum temperature value to wire guiding member, insulator part, according to connectedness, is found out to maximum temperature value automatically, be designated as T
max_hot;
2-2, taking maximum temperature pixel as Seed Points, adopt region growing method, to spend as boundary judgment condition lower than maximum temperature 5, generate the connected region of maximum temperature, peanut as large in this highest temperature region is approximate consistent with the large peanut of this component area, this part temperatures is normal, finishes diagnosis; Peanut as large in highest temperature region is significantly less than the large peanut of this component area, using this parts highest temperature region exterior pixel as a region, proceeds to step 2-3;
2-3, to this component area at infrared temperature image I W(i, j) upper generate two temperature connected regions: one is the connected region of maximum temperature, and another is by the temperature connected region forming except maximum temperature exterior pixel.Calculate the mean value AVG_T of temperature in maximum temperature connected region
max, calculate the mean value AVG_T except temperature in the temperature connected region of maximum temperature exterior pixel composition
ref, do following calculating:
2-4, foundation
diagnose this parts thermal defect:
As:
, these parts have slight contact hidden danger (general thermal defect);
As:
, these parts have significant deficiency;
As:
, these parts are urgent defect;
2-5, according to above-mentioned steps 2-1 to step 2-4, other identification components are carried out to thermal defect diagnosis;
The present invention compared with prior art, there is following apparent outstanding substantive distinguishing features and remarkable advantage: the present invention adopts based on line object perceptual grouping algorithm identified circuit parts, can effectively get rid of the impact that car heating, ground-level finding object and the reflecting heat of shaft tower own of ground run in the complicated scenery of nature are diagnosed circuit thermal defect.The present invention adopts relative temperature difference method deagnostic package thermal defect, can eliminate the impact of the additional temperature rise that solar radiation causes, and reduces the inaccurate errors of bringing of parameter such as detecting distance, environment temperature, humidity, wind speed.The present invention effectively improves the efficiency that transmission line of electricity thermal defect is detected, and can effectively be applied in vehicle-mounted or helicopter polling transmission line business.
Brief description of the drawings
Fig. 1 is Intelligent Measurement thermal defect hardware effort environment map of the present invention;
To be the present invention identify the method for high-tension line parts from infrared gray level image to Fig. 2;
Fig. 3 is the method that the parts that identify from Fig. 2 carry out absolute temperature difference method diagnosis thermal defect;
Fig. 4 is the infrared image that has thermal defect on actual acquisition wire of high-tension line;
Fig. 5 is the wire parallel line group of extracting identification from Fig. 4 infrared image;
Fig. 6 is the method that maximum temperature is found out in sectioning search from each wire of Fig. 5 identification;
Fig. 7 expands wire diagnosis contact area thermal defect exemplary plot from the infrared image of actual acquisition.
Embodiment
Below in conjunction with accompanying drawing, the preferred embodiments of the present invention are described in further detail.The present embodiment is implemented under taking technical scheme of the present invention as prerequisite, provided detailed embodiment, but protection scope of the present invention is not limited to following embodiment.
As shown in Figure 1, the applicable hardware environment of method of infrared image Intelligent Measurement high-tension line thermal defect of the present invention, can, helicopter routing inspection or vehicle-mounted patrolling and examining under working environment, detect thermal defect.The resolution of thermal infrared imager is 320 ╳ 240 or 640 ╳ 480, the output interface of thermal infrared imager is simulation PAL/NTSC video data or digital network video flowing, every the corresponding temperature pattern of infrared gray-scale map image-tape gathering, every collection one width infrared image is realized infra-red heat defect diagonsis simultaneously.
As shown in Figure 2, this method based on infrared image intelligent diagnostics ultra-high-tension power transmission line thermal defect, its operation steps is as follows:
1, adopt based on line object perceptual grouping algorithm identified circuit parts, its concrete steps are as follows:
1-1, the infrared image collecting is carried out to pre-service comprise: adopt 3 ╳ 3 medium filtering noise reductions, sharp-edged infrared gray level image is obtained in histogram equalization processing, Prewiit operator by four direction carries out edge extracting to infrared gray level image, generates infrared bianry image by two poor methods between maximum kind.Be designated as IB (i, j) and represent infrared bianry image; Fig. 4 is the infrared image of actual acquisition, and Fig. 5 is the infrared bianry image generating through processing;
1-2, on bianry image extraction level, inclination, the little line segment of vertical three class.Inclination angle scope exists
straight line formed by the little line segment of level; Inclination angle scope exists
straight line by tilt little line segment form; Inclination angle scope exists
straight line formed by vertical little line segment.On bianry image by 8 search mark levels, inclination, vertical little line segment, define three list structure Hsegment, Vsegment, Ssegment be used for depositing level, vertically, little line segment tilts;
1-3, the slope that calculates each level, inclination, vertical little line segment and intercept, by little line segment identical with intercept slope, be connected to long straight line line segment; The mode that is total to end points by analyzing little line segment is carried out matched curve section; Adopt following structure to represent line segment:
struct Segment{
Point startP; // line segment starting point coordinate
Point endP; // line segment end point coordinate
Double slope; // line segment slope
Double intercept; // line segment intercept
Int length; // line segment length
Int locate; // whether be curved segments
}
1-4, on bianry image perpendicular bisected region, analyze the little line segment distribution density of three classes in each region; As there is the region of higher level distribution simultaneously, vertical, inclined line segment, confirm as shaft tower region, in shaft tower image, whether exist curve to distinguish Equations of The Second Kind image or the 3rd class image, as there not being curve in shaft tower image, confirm as Equations of The Second Kind infrared image; In shaft tower image, there is curve, confirm as the 3rd class infrared image;
The parallel relation of 1-5, analysis level, vertical, inclined line segment, slope is approximate identical, and the line segment cluster that intercept is different is sets of parallel; And confirm as wire group.By following representation sets of parallel:
struct Parallel{
Int Group;
Int size;
Point startP;
Point endP;
Double slope;
Int left_edge;
Int right_edge;
Int bottom_edge;
Int up_edge;
}
1-6, foundation identify the position of wire, detect the width of wire.In Equations of The Second Kind infrared image (on the upright position at two parallel fold lines breakpoint places) and position (at the parallel extending direction of parallel wire terminal) in the 3rd class infrared image, derive the approximate location of insulator according to insulator.
1-7, on the basis of two-value template image that generates wire, drainage thread, insulator, adopt the connected region of two-value to manage in each wire, drainage thread, insulator.In order effectively to detect the contact area of wire and circuit miscellaneous part, the connected region of expansion two-value can effectively expand to the contact area between parts.Adopt following structure to manage the parts that identify:
struct part_object {
PART_NAME part_ID;
unsigned int elements_number;
vector<struct Element> elements;
// parts circumscribed rectangular region coordinate
int leftx, lefty;
int topx, topy;
int rightx, righty;
int bottomx, bottomy;
}
2, as shown in Figure 3, on the basis of infrared image identification high-tension line parts, carry out infra-red heat defect diagonsis, its concrete steps are as follows:
Each parts coordinate of 2-1, identification, adopt object connected region BLOB management, according to its pixel coordinate, from infrared temperature image, record in this region actual temperature value, adopt piecemeal automatically to find out maximum temperature value to wire guiding member, to insulator part according to connectedness, automatically find out maximum temperature value, be designated as T
max_hot, adopting as shown in Figure 6 wire method of partition, the maximum temperature of automatically finding out, with green color box mark;
2-2, taking maximum temperature pixel as Seed Points, adopt region growing method, to spend as boundary judgment condition lower than maximum temperature 5, generate the connected region of maximum temperature, as approximate consistent with this part temperatures area size in this highest temperature region size, this part temperatures is normal, finishes the diagnosis to these parts; As highest temperature region size is significantly less than this part temperatures area size, using this parts highest temperature region exterior pixel as a region;
2-3, to this component area at infrared temperature image I W(i, j) upper generate two temperature connected regions: one is the connected region of maximum temperature, and another is by the temperature connected region forming except maximum temperature exterior pixel.Calculate the mean value AVG_T of temperature in maximum temperature connected region
max, calculate the mean value AVG_T except temperature in the temperature connected region of maximum temperature exterior pixel composition
ref, do following calculating:
2-4, foundation
diagnose this parts thermal defect:
As:
, these parts have slight contact hidden danger (general thermal defect);
As:
, these parts have significant deficiency;
As:
, these parts are urgent defect;
As shown in Figure 7, the defective infrared image of actual acquisition, T
max=48
.C, T
ref= 18
。c,
=150%, this defect belongs to emergency heat defect;
2-5, according to above-mentioned steps 4-1 to step 4-4, other identification components are carried out to thermal defect diagnosis, adopt following structure to manage the thermal defect parts of diagnosis:
struct tagIRFault
{
FAULT_PART_NAME IrFaultPart;
The defective FRU title of // infrared diagnostics, for: NULL_FAULT: there is no defect; Otherwise the following is defect area
RECT IrFaultRect; // infrared defect area
Int highesttemperature; // maximum temperature;
Int DiffTempe; // relative temperature difference;
}。
Claims (2)
1. the method based on infrared image intelligent diagnostics ultra-high-tension power transmission line thermal defect, is characterized in that operation steps is as follows:
Step 1, employing are based on line object perceptual grouping algorithm identified circuit parts, and concrete steps are as follows:
Step 1-1, boundary operator with direction are processed infrared image, extract horizontal line section, vertical line segment, oblique line section, segment of curve, generate infrared bianry image by maximum variance between clusters, are designated as IB (i, j) and represent infrared bianry image;
Step 1-2, on the infrared bianry image of step 1-1, calculate slope and the intercept of each level, inclination, vertical little line segment, by little line segment identical with intercept slope, merge and be connected to long straight line line segment; The mode that is total to end points by analyzing little line segment is carried out matched curve section;
Step 1-3, on the infrared bianry image of step 1-2 perpendicular bisected region, analyze the little line segment distribution density of three classes in each region; As there is level simultaneously, the region that vertical, inclined line segment distribution density is higher, confirm as the infrared image that comprises shaft tower; Comprise straight line pole infrared image as not having curve in shaft tower image, confirming as; In shaft tower image, there is curve, confirm as and comprise strain rod tower infrared image;
Step 1-4, by horizontal line section and inclined line segment, slope is identical, the line segment that intercept is different classifies as sets of parallel; And confirm as wire group;
Step 1-5, according to step 1-3 and step 1-4, in the infrared image that comprises straight line pole in confirmation, as there are two groups of parallel wires, judge adjacent end points degree of closeness, relatively expand wire simultaneously, these two groups of wires are intersected, have composite insulator in the vertical direction of intersection point, infer composite insulator position, as the composite insulation subassembly of identification; As there is one group of parallel wire, the end points adjacent with shaft tower region, by its end points of 16*8 size pixel area extension, makes it effectively expand to the contact area between circuit parts;
Step 1-6, according to step 1-3 and step 1-4, in the infrared image that comprises strain rod tower in confirmation, as there is parallel wire group, judgement and curve adjacent wires end points, on the parallel extending direction of this end points, there is glass insulation subassembly, infer glass insulator position, as the glass insulation subassembly of identification;
Step 1-7, by identification wire, drainage thread, independently connected region structure management for insulator position coordinates;
Step 2, circuit parts to identification, adopt relative temperature difference method to diagnose its thermal defect.
2. the method based on infrared image intelligent diagnostics ultra-high-tension power transmission line thermal defect as claimed in claim 1, is characterized in that the circuit parts of described step 2 to identification, adopts relative temperature difference method to diagnose the concrete steps of its thermal defect as follows:
Step 2-1, read each component area of identification, according to its area pixel coordinate, from infrared temperature image I W(i, j) upper, read temperature value actual in this region, adopt piecemeal automatically to find out maximum temperature value to wire guiding member, insulator part, according to connectedness, is found out to maximum temperature value automatically, be designated as T
max_hot;
Step 2-2, taking maximum temperature pixel as Seed Points, adopt region growing method, to spend as boundary judgment condition lower than maximum temperature 5, generate the connected region of maximum temperature, peanut as large in this highest temperature region is consistent with the large peanut of this component area, this part temperatures is normal, finishes diagnosis; Peanut as large in highest temperature region is less than the large peanut of this component area, using this parts highest temperature region exterior pixel as a region, proceeds to step 2-3;
Step 2-3, to this component area at infrared temperature image I W(i, j) two temperature connected regions of upper generation: is the connected region of maximum temperature, another calculates the mean value AVG_T of temperature in maximum temperature connected region by the temperature connected region forming except maximum temperature exterior pixel
max, calculate the mean value AVG_T except temperature in the temperature connected region of maximum temperature exterior pixel composition
ref, do following calculating:
；
Step 2-4, foundation
diagnose this parts thermal defect:
As:
, these parts have slight contact hidden danger, i.e. general thermal defect;
As:
, these parts have significant deficiency;
As:
, these parts are urgent defect;
Step 2-5, according to above-mentioned steps 2-1 to step 2-4, other identification components are carried out to thermal defect diagnosis.
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| CN102928742B (en) * | 2012-11-22 | 2014-11-12 | 重庆市电力公司检修分公司 | Infrared image automatic fault identifying method for high-voltage equipment |
| CN103413139B (en) * | 2013-06-28 | 2015-05-20 | 广东电网公司电力科学研究院 | Electric equipment abnormal heating detection method based on infrared inspection video data of power line inspection |
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