CN104634279A - Vision-based automatic aviation oil mist nozzle atomization angle detection device and method - Google Patents

Vision-based automatic aviation oil mist nozzle atomization angle detection device and method Download PDF

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Publication number
CN104634279A
CN104634279A CN201310574682.2A CN201310574682A CN104634279A CN 104634279 A CN104634279 A CN 104634279A CN 201310574682 A CN201310574682 A CN 201310574682A CN 104634279 A CN104634279 A CN 104634279A
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image
angle
industrial camera
binary image
detection device
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夏筱筠
刘飞
郭旭
李瑞福
江应栋
董秀丽
李树举
刘丽丽
崔东静
闫美润
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Shenyang Institute of Computing Technology of CAS
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Shenyang Institute of Computing Technology of CAS
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Abstract

The invention relates to a vision-based automatic aviation oil mist nozzle atomization angle detection device. A light source is arranged inside a tank, and an industrial camera is arranged on the outer side of the tank, connected with an explosion-proof computer through an internal digital I/O (input/output) trigger interface card and used for shooting spray of the oil mist nozzle fixed in the tank. A detection method includes the following steps that the industrial camera shoots a digital image of a spray cone angle by receiving an external trigger signal and sends the digital image to the explosion-proof computer; the explosion-proof computer preprocesses the digital image to obtain a binary image; the binary image is subjected to Hough transform to obtain a boundary of degrees of the cone angle and the degrees of the cone angle. By the device and method, the problem about randomness of manual measurement of the aviation nozzle is solved, accuracy is improved, reliability in measurement is guaranteed, and automation level is heightened.

Description

The aero oil atomizing nozzle atomization angle automatic detection device of view-based access control model and method
Technical field
The present invention relates to the application of computer vision technique at aviation nozzle angle detection field.The apparatus and method that the multiple technologies such as fused images process specifically, pattern-recognition, artificial intelligence, mathematics, vision-based detection detect aero oil atomizing nozzle atomization angle.
Background technology
Computer vision technique have been passed by the history of more than 40 year as a new branch of science, along with computer science, the development of present bussing technique, computer vision technique is also ripe day by day, the important component part that industry is indispensable now, at numerous areas such as scientific research, medical science, archaeology, satellite remote sensing, public security, building materials and chemical industry, intermetallic composite coating, electronic manufacture, packaging, automobile makings.Computer vision technique progressively substitutes the vision of people, tired in reduction, raise the efficiency and conveniently show very large advantage with continuity etc.Nozzle is the critical elements forming aeromotor house steward, is directly connected to burning efficiency and the operation stability of engine.
At present, the detection of aeromotor house steward oil thrower atomization angle still adopts artificial visually examine's method, namely the plexiglass tent outside nozzle has filled a protractor, on have pointer, nozzle side has one to be vertically connected with pointer with the examination cutter of pointer, try cutter also general vertical and atomizing edge simultaneously, from wide-angle to low-angle, pointer is adjusted by the range estimation of people, pointer and atomizing edge are probably overlapped, again gradually near atomizing edge, to try cutter drips, first fuel oil is as the criterion, read the scale registration on protractor, just for taking measurement of an angle, compared with the design angle that dispatches from the factory that nozzle is given, within error range, just assert that nozzle detects qualified, otherwise be defective.
This metering system depends on the range estimation of workman, and accuracy rate is lower, and its criterion is tangent with atomizing edge, utilization be any position on atomizing edge, so randomness is also larger, do not make full use of the information of whole atomizing edge.
Summary of the invention
In order to overcome above-mentioned the deficiencies in the prior art, the invention provides a kind of aero oil atomizing nozzle atomization angle automatic detection device based on computer vision technique and method.By image acquisition, image procossing, rim detection, finally calculates nozzle atomization angle.
The technical solution adopted for the present invention to solve the technical problems is: the aero oil atomizing nozzle atomization angle automatic detection device of view-based access control model, box house is provided with light source, industrial camera is arranged at outside casing, and be connected with anti-explosion computer by internal digital I/O trigger interface card, the spraying for the oil thrower to casing internal fixtion is taken pictures.
Described light source is two white led lamps, is separately fixed at the bottom of casing backboard and symmetrical relative to oil thrower.
Described industrial camera is placed in box body, and described box body is closed housing, is full of inert gas in housing; Described box body one side is glass, takes a picture for industrial camera.
The axial line of described industrial camera camera lens and the spreading of spray axial line of nozzle are vertical at same plane.
The aero oil atomizing nozzle atomization angle automatic testing method of view-based access control model, comprises the following steps:
Industrial camera by receiving the digital picture of outer triggering signal shooting spray cone angle, and sends to anti-explosion computer; Anti-explosion computer carries out pre-service to digital picture, obtains binary image; Again binary image is obtained to the boundary line of angle of taper by Hough transform, and obtain the angle of cone angle.
Described anti-explosion computer carries out pre-service to digital picture, obtains binary image and comprises the following steps:
Anti-explosion computer carries out medium filtering to digital picture and obtains filtered image, recycling background subtraction method carries out the atomization image that target detection obtains spray cone angle, utilize maximum entropy threshold algorithm to carry out binary conversion treatment to this image and obtain initial binary image, adopt morphological operator to carry out filtering noise to this binary image and obtain binary image.
The present invention has following beneficial effect and advantage:
1. computer vision technique is used for the detection of aviation nozzle atomization angle by the present invention, makes full use of the information of whole atomizing edge.Open the frontier of computer vision technique application.
2. the invention solves the randomness that aviation nozzle is measured manually, improve accuracy rate, ensure that the reliability of measurement, improve automaticity.
3. present system has used the current pandemic software through pictures development platform Labview of fields of measurement.IMAQ Vision Image semantic classification software package ensure that real-time and the high speed requirement of image procossing, and man-machine interaction is friendly, workable.
4. the present invention has the features such as rapidity, real-time, noncontact.
5. the present invention adopts explosion-proof camera and explosion-proof industrial computer, can prevent mist of oil from entering camera and industrial computer and this device open circuit caused, fault, even explode.
Accompanying drawing explanation
Fig. 1 is apparatus structure schematic diagram of the present invention;
Fig. 2 is method flow diagram of the present invention;
Fig. 3 is image pre-processing method process flow diagram;
Wherein, 1 light source, 2 industrial cameras, 3 anti-explosion computers, 4 oil throwers, 5 casings.
Embodiment
Below in conjunction with embodiment, the present invention is described in further detail.
The technical solution adopted in the present invention is: utilize image collecting device to obtain digital picture, based on Labview Software Development Platform write image processing algorithm to gather image strengthen, rim detection, binaryzation, remove the pre-service such as acnode and refinement, obtained two boundary lines of spray cone angle by the Hough transform in pattern-recognition, finally calculate the atomization cone angle of nozzle.Angle value is presented on human-computer interaction interface.
As shown in Figure 1, described image collecting device, is made up of the digital I/O trigger interface card of industrial camera 2 and inside thereof, light source 1, explosion-proof industrial computer 3.Industrial camera 2 accepts outer triggering signal, and shooting image, shooting terminates, and is preserved, get the digitized image of nozzle atomization angle by network interface card communication mode by image transmitting to computing machine.
Described industrial camera 2 is placed in metal case inside, and described box body is closed square casing, is full of inert gas in housing, such as argon gas; Box body one side is organic glass, and take a picture for industrial camera, such entirety constitutes explosion-proof camera.The industrial camera 2 of external box body is fixed on the outside of casing 5, and it is inner that light source 1 is fixed on casing 5.In the present embodiment, casing 5 is the square nozzle Performance Detection experiment cabinet with sliding door.
Should note in actual applications: the installation site of lighting source and direction should ensure that there is enough illumination visual field; The luminescence efficiency of lighting source, luminance brightness want high; Brightness is adjustable, and the life-span is long.The use of light source is that allow testee feature from complex background saliency out, the means of illumination of use has a lot, and relatively more conventional has: front light source, back side light source in order to obtain the best testing image of a width.In order to obtain clear nozzle atomization image, light source of the present invention selects the back side light source of white.In the present embodiment, light source and camera lay respectively at the both sides of nozzle, and casing backboard is below black, and backboard bottom is fixed with light source, and light source adopts two white led lamps, lay respectively at the backboard left and right sides and symmetrical relative to nozzle.
As shown in Figure 2, applied environment is severe, and background is complicated, and the image pattern come by image acquisition device can not be directly used in and calculate nozzle atomization angle, needs the pre-service carrying out image, finally obtains the image after binary conversion treatment.Write Hough algorithm based on Labview Software Development Platform and carry out the acquisition of image boundary line, by the boundary line of the atomized angle of classical Hough transforms, Hough transform is utilized to utilize the point one line duality of image space and Hough parameter space, the test problems of image space is transformed into parameter space, simple cumulative statistics is carried out by asking at parameter sky, then find the method detection of straight lines of totalizer peak value, carry out the calculating of atomization angle.Angle value is presented on human-computer interaction interface.
Spray cone angle image is due to its singularity, need to detect two edge lines in left and right, if taking out simple the straight line that in above-mentioned totalizer, front 2 maximal values are corresponding is the words on border, then two straight lines may be made to be the sideline (micro-angle difference) at same edge due to precision problem, therefore cause and detect unsuccessfully, avoid this situation the most simply and effective method is exactly image is divided into two parts in left and right process respectively, because the axial line of camera lens and the axial line of spreading of spray are substantially in a plane when mounted, therefore the width half place simply can getting image is the two-part separator bar in left and right.From above-mentioned discussion, the calculated amount of Hough transform is sizable, but when processing the image after refinement, because the quantity of impact point (white) greatly reduces in image, the process detected is also just suitable rapid, can reach the requirement calculated in real time completely.
As shown in Figure 3, pre-service comprises: median filtering algorithm carries out the enhancing denoising of image, Background Reconstruction, background subtraction method carries out target detection, maximum entropy threshold values binaryzation, utilizes morphologic vertical formwork and normalized to carry out removal acnode and the refinement of image.
Described writes Image semantic classification based on Labview Software Development Platform: LabVIEW is one and has revolutionary graphical development environment, is called as G language.Graphic programming mode has abandoned the complicacy of traditional software development scheme, and provide friendly development interface, Labview image processing tool bag IMAQ Vision, contains the function library of more than 300 kind of machine vision and scientific imagery process.The display of gray scale, colour and bianry image, process (statistics, filtering and geometric transformation), Model Matching, spot-analysis, calculating etc. are can be used to.Final user, system integrator and original equipment manufacturer can use IMAQ Vision to accelerate the exploitation of industrial vision and scientific imagery application software, and IMAQ Vision can be used for factory and laboratory etc. to be needed in the exploitation of the automatic visual system of high reliability, high speed.
Median filtering method is a kind of nonlinear smoothing technology, and the gray-scale value of each pixel is set to the intermediate value of all pixel gray-scale values in this some neighborhood window by it.Being usually used in for Protect edge information information, is the method for classical smooth noise.Gather the image pattern come and first will carry out medium filtering, remove noise.
Select and gather aimless image image as a setting, obtain target image by background subtraction method, complete target detection.
The binary conversion treatment of image selects the method for maximum entropy threshold values to carry out, and the design philosophy of maximum entropy is, selects suitable threshold value that image is divided into two classes, when the mean entropy sum of two classes is maximum, can obtains maximum fault information, determine optimal threshold with this from image.
According to principle above, the concrete steps of maximum entropy method are as follows:
Obtain the distribution probability of all pixels in image, p 0, p 1..., p 255(gradation of image distribution range 0 ~ 255);
p i = N i N image , ( i = 0,1 , · · · , 255 )
In formula, N ifor gray-scale value is the number of pixels of i; N imagefor the total pixel number of image.
A given initial threshold Th=Th 0, image is divided into C 1and C 2two classes;
Calculate the average relative entropy of two classes respectively
E 1 = - Σ i = 0 Th ( p i / p Th ) · ln ( p i / p Th ) ,
E 2 = - Σ i = Th + 1 255 ( p i / ( 1 - p Th ) ) · ln ( p i / ( 1 - p Th ) )
In formula, p Th = Σ i = 0 Th p i .
Select best threshold value Th=Th *, make image be divided into C according to this threshold value 1and C 2after two classes, meet
[ E 1 + E 2 ] | Th = Th * = max { E 1 + E 2 }
After finishing background subtraction and binaryzation, due to the existence of interference, noise, in image, usually also there is some little noise region and little cavity, make to carry out the data that atomization angle boundary line extracts inaccurate.Therefore, use the further filtering noise of morphological operator here and fill little cavity.Mathematical morphology represents based on form the mathematical tool that image is analyzed.Its basic thought goes to measure and extract correspondingly-shaped in image to reach the object to graphical analysis and identification with the structural element with certain form.Fundamentals of Mathematics and the language used of mathematical morphology are set theory.The application of mathematical morphology can simplified image data, keep the shape facility that they are basic, and remove incoherent structure.The algorithm of mathematical morphology has the structure of natural Parallel Implementation.Find in experiment, adopt vertical formwork, first closed operation is carried out to image, then it is best to carry out the effect that opening operation obtains.

Claims (6)

1. the aero oil atomizing nozzle atomization angle automatic detection device of view-based access control model, it is characterized in that: casing (5) inside is provided with light source (1), industrial camera (2) is arranged at casing (5) outside, and be connected with anti-explosion computer (3) by internal digital I/O trigger interface card, the spraying for the oil thrower (4) to casing (5) internal fixtion is taken pictures.
2. the aero oil atomizing nozzle atomization angle automatic detection device of view-based access control model according to claim 1, it is characterized in that: described light source (1) is two white led lamps, be separately fixed at the bottom of casing (5) backboard and symmetrical relative to oil thrower (4).
3. the aero oil atomizing nozzle atomization angle automatic detection device of view-based access control model according to claim 1, is characterized in that: described industrial camera (2) is placed in box body, and described box body is closed housing, is full of inert gas in housing; Described box body one side is glass, takes a picture for industrial camera (2).
4. the aero oil atomizing nozzle atomization angle automatic detection device of view-based access control model according to claim 1, is characterized in that: the axial line of described industrial camera (2) camera lens and the spreading of spray axial line of nozzle (4) are vertical at same plane.
5. the aero oil atomizing nozzle atomization angle automatic testing method of view-based access control model, is characterized in that comprising the following steps:
Industrial camera (2) by receiving the digital picture of outer triggering signal shooting spray cone angle, and sends to anti-explosion computer (3); Anti-explosion computer (3) carries out pre-service to digital picture, obtains binary image; Again binary image is obtained to the boundary line of angle of taper by Hough transform, and obtain the angle of cone angle.
6. the aero oil atomizing nozzle atomization angle automatic testing method of view-based access control model according to claim 5, is characterized in that: described anti-explosion computer (3) carries out pre-service to digital picture, obtains binary image and comprises the following steps:
Anti-explosion computer (3) carries out medium filtering to digital picture and obtains filtered image, recycling background subtraction method carries out the atomization image that target detection obtains spray cone angle, utilize maximum entropy threshold algorithm to carry out binary conversion treatment to this image and obtain initial binary image, adopt morphological operator to carry out filtering noise to this binary image and obtain binary image.
CN201310574682.2A 2013-11-13 2013-11-13 Vision-based automatic aviation oil mist nozzle atomization angle detection device and method Pending CN104634279A (en)

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CN109341597A (en) * 2018-11-21 2019-02-15 西安金普科技工程有限责任公司 A kind of aviation atomizer atomization angle check device
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Application publication date: 20150520