CN101556145A - Device and method for monitoring slow-speed and over-load rotor eccentricity image - Google Patents
Device and method for monitoring slow-speed and over-load rotor eccentricity image Download PDFInfo
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- CN101556145A CN101556145A CNA2009100313397A CN200910031339A CN101556145A CN 101556145 A CN101556145 A CN 101556145A CN A2009100313397 A CNA2009100313397 A CN A2009100313397A CN 200910031339 A CN200910031339 A CN 200910031339A CN 101556145 A CN101556145 A CN 101556145A
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Abstract
The invention relates to a device and a method for monitoring slow-speed and over-load rotor eccentricity image. The device consists of a standard circular component, a high-resolution camera, an image capture card and an image processing system, wherein, the standard circular component is arranged on the revolving shaft of a rotor to be tested, and the image processing system outputs a processed result. The method comprises the following steps: the standard circular component is arranged at the revolving shaft of the rotor to be tested; the high-resolution camera is arranged in the right front of the sectional plane of the standard circular component; the high-resolution camera shoots the turning standard circular component; the image capture card captures image transmitted by the high-resolution camera; and the image processing system compares the image captured by the image capture card with the image of the built-in standard component without eccentric position and counts the eccentricity of the tested rotor and the maximal eccentricity during around-turning. The device is simple in structure, the method is convenient, and the eccentricity at different positions during the around-turning of the rotor can be monitored and counted.
Description
Technical field
The present invention relates to a kind of monitoring method and device, especially a kind of low speed rotor that is lower than 500 rev/mins that is applicable to is made the low-speed heave-load rotor eccentricity image monitoring device and the method for gyration.
Background technology
Gyration is a kind of mode of motion the most common in the plant equipment, except utilizing eccentric stiffener realization Centrifugal vibration such as vibratory pump specially or realizing the mechanisms such as certain movement conversion such as eccentric wheel, most of slew gear all has higher requirement to the right alignment of rotary hole and axle, mainly be that the rotary vibration that produces in the gyration is limited within certain scope, otherwise vibration can produce very big noise, even can produce damaging influence to plant equipment, especially the off-centre revolution that goes beyond the limit of low-speed heave-load apparatus for rotating may do great damage and heavy losses.The eccentric generation of revolution may be because equipment attrition is bigger, also may be that installation is insecure, all may lead to grave consequences.Therefore to monitor revolving shaft, in time find the abnormal deviation degree of revolving shaft, and provide warning so that take measures to the desirable centre of gyration.
Monitoring of eccentricity device at present commonly used mainly adopt be installed on the revolving shaft or revolving shaft near various sensors the running status of revolving shaft is carried out signals collecting, adopt software that signal data is analyzed then, provide certain result.Since adopt sensor acquisition to signal often contain a large amount of undesired signals such as noise, follow-up processing is had very big influence, can only when offset is big, provide prompting or report to the police, be difficult to provide offset numerical value more accurately.
Summary of the invention
The objective of the invention is to overcome deficiency of the prior art, provide a kind of simple in structure, can monitor and calculate the low-speed heave-load rotor eccentricity image monitoring device and the method for diverse location offset in the rotor turning course in real time.
Low-speed heave-load rotor eccentricity image monitoring device of the present invention, comprise the standard circular part that is installed on the measured rotor revolving shaft, be located at the high-resolution camera in dead ahead, standard circular part cross section, high-resolution camera is connected with image pick-up card, is connected with the image processing system of the result's output that will handle on the image pick-up card.
The diameter of described standard circular part is about 50mm, and thickness is about 10mm; The resolution of described high-resolution camera is 1280 pixels * more than 800 pixels.
Low-speed heave-load rotor eccentricity image monitoring method of the present invention:
A. the standard circular part with the end face painted black is installed on the measured rotor revolving shaft;
B. high-resolution camera is located at dead ahead, standard circular part cross section;
C. around the mounting base of camera, dig out the degree of depth and be about 0.5 meter vibration isolation strip;
D. with high-resolution camera the standard circular part in rotating is taken, and the image that high-resolution camera transmits is gathered by image pick-up card;
E. image processing system image and the built-in part of location criteria without acceptance of persons circle part image that image pick-up card is collected compared, the maximum eccentricity amount when calculating the eccentric throw of measured rotor and revolution;
Report to the police when f. maximum eccentricity surpasses setting value.
Beneficial effect: low speed rotor eccentricity image monitoring device of the present invention is simple in structure, method is convenient, can monitor in real time and calculate diverse location offset in the rotor turning course by image processing system, and by the real-time display eccentric amount of display, when offset surpasses certain value, provide audible alarm by loudspeaker.
Description of drawings
Fig. 1 is a structural representation of the present invention;
Fig. 2 is the principle schematic that the present invention obtains the image border;
As scheming: 1-standard circular part, 2-high-resolution camera, 3-image pick-up card, 4-image processing system, 5-display, 6-loudspeaker.
Embodiment
Below in conjunction with the example in the accompanying drawing the present invention is further described:
Shown in Figure 1, low-speed heave-load rotor eccentricity image monitoring device, mainly constitute by standard circular part 1, high-resolution camera 2, image pick-up card 3, image processing system 4, display 5 and loudspeaker 6, standard circular part 1 is installed on the tested revolving shaft, the diameter of standard circular part 1 is about 50mm, and thickness is about 10mm.High-resolution camera 2 is located at positive the place ahead, standard circular part 1 cross section, and the resolution of high-resolution camera 2 is 1280 pixels * more than 800 pixels.2 pairs of revolving shaft ends of high-resolution camera standard circular part 1 is made a video recording, high-resolution camera 2 connects image pick-up card 3, image pick-up card 3 connects image processing system 4, handle after display 5 is exported the result by image processing system 4, if offset surpasses setting value, loudspeaker 6 provides audible alarm.Camera adopts fixing the isolation to install, and promptly digs out 0.5 meter vibration isolation strip around the mounting base of camera, prevents revolution and external vibration effect image acquisition effect, and testing result is exerted an influence.
Low-speed heave-load rotor eccentricity image monitoring method of the present invention, for the ease of image is handled and is calculated, adopt the high precision standard circular part 1 of special processing, it is contained on the revolving shaft, the end face blacking, and maintain the standard circular piece 1 and revolving shaft are coaxial, like this when measuring, as long as the revolution off-centre of measurement standard circular piece 1 can obtain the off-centre of revolving shaft.Camera 2 is installed in the dead ahead of standard circular part 1, is subjected to the ectocine minimum when taking, around the pedestal that camera is installed, dig out about 0.5 meter dark about 0.1 meter wide ditch, be used for isolating equipment under test and external vibration for guaranteeing camera.Take with the standard circular part 1 in 2 pairs of rotations of high-resolution camera, and gather by the image that 3 pairs of high-resolution cameras of image pick-up card 2 transmit, the images acquired number is determined according to on-the-spot actual needs, as gathering piece image, return common collection 12 width of cloth images that circle every 30 degree; Gather piece image every 60 degree, return common collection 6 width of cloth images that circle; The image of gathering is many more, and result of calculation is accurate more.Software module by image processing system 4 is handled the standard round image that collects, and calculates the central coordinate of circle (x of each circle
0i, y
0i), calculate each central coordinate of circle again and arrive the centre of gyration (x without acceptance of persons
0, y
0) distance be eccentric distance e.
(x
0i, y
0i) to (x
0, y
0) the computing method apart from e:
Earlier image is removed noise processed, obtain the quality better image, be converted to gray level image then, image is carried out rim detection, obtain complete single pixel circular edge bianry image.Traversal non-zero pixels point in image, note the coordinate of each point and only record once add up the number of non-zero pixels simultaneously, utilize centroid method to calculate centre coordinate (x of each circle
0i, y
0i).
Broken circle among Fig. 2 is the standard circular part edge schematic images without acceptance of persons the time, (x
0, y
0) be its center of circle; Central coordinate of circle adopts the barycenter method to be calculated as follows:
N is the number of pixels on the rotating without acceptance of persons standard round part image edge.
The standard circular part edge image of a certain position when the solid line circle turns round for off-centre, (x
0i, y
0i) be its center of circle.After camera installed, shooting distance was identical, so the demarcation of camera is also identical, and the actual range that identical pixel distance is represented is also identical.Utilize centroid method to determine the center of circle of this location criteria circle part, computing method are as follows:
(x
j, y
j) be this location criteria rounded edge pixel coordinate, m altogether of pixel.
Calculate (x
0, y
0) and (x
0i, y
0i) Euclidean distance promptly can obtain the eccentric throw of rotor when this position, shown in e among Fig. 2:
Pixel unit is converted to metric unit (millimeter) again according to camera calibration.
Eccentric image to diverse location carries out identical processing, calculates a plurality of eccentric throws, and maximal value wherein is exactly to turning round the factor that imbalance has the greatest impact, and when this eccentric throw maximal value surpassed setting value, image processing system 4 was reported to the police by loudspeaker 6.
Claims (4)
1. low-speed heave-load rotor eccentricity image monitoring device, it is characterized in that: it comprises the standard circular part (1) that is installed on the measured rotor revolving shaft, be located at the high-resolution camera (2) in standard circular part (1) dead ahead, cross section, high-resolution camera (2) is connected with image pick-up card (3), be connected with the image processing system (4) of its information of calculating on the image pick-up card (3), the result who handles through image processing system (4) exports and warning by coupled display (5), loudspeaker (6).
2. low-speed heave-load rotor eccentricity image monitoring device according to claim 1 is characterized in that: the diameter of described standard circular part (1) is about 50mm, and thickness is about 10mm.
3. low-speed heave-load rotor eccentricity image monitoring device according to claim 1 is characterized in that: the resolution of described high-resolution camera (2) is 1280 pixels * more than 800 pixels.
One kind according to claim 1 the device low-speed heave-load rotor eccentricity image monitoring method, it is characterized in that:
A. the standard circular part (1) with the end face painted black is installed on the measured rotor revolving shaft;
B. high-resolution camera (2) is located at standard circular part (1) dead ahead, cross section;
C. around the mounting base of camera, dig out the degree of depth and be about 0.5 meter vibration isolation strip;
D. use high-resolution camera (2) that the standard circular part (1) in rotating is taken, and the image that high-resolution camera (2) transmits is gathered by image pick-up card (3);
E. image processing system (4) image that image pick-up card (3) is collected is compared with location criteria circle part image without acceptance of persons, calculates the eccentric throw of measured rotor in real time and returns the maximum eccentricity that circles;
Report to the police when f. maximum eccentricity surpasses setting value.
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CNA2009100313397A CN101556145A (en) | 2009-04-29 | 2009-04-29 | Device and method for monitoring slow-speed and over-load rotor eccentricity image |
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CNA2009100313397A CN101556145A (en) | 2009-04-29 | 2009-04-29 | Device and method for monitoring slow-speed and over-load rotor eccentricity image |
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CN102353349A (en) * | 2011-09-30 | 2012-02-15 | 广东工业大学 | Machine vision based micro-sound film concentricity online testing system and testing method |
CN102455170A (en) * | 2010-10-15 | 2012-05-16 | 三星科技股份有限公司 | Method and device for measuring eccentric distance of small pole |
CN102645161A (en) * | 2012-03-31 | 2012-08-22 | 安徽大学 | Motor rotor position detection method based on image phase correlation algorithm |
CN105157619A (en) * | 2015-07-10 | 2015-12-16 | 中国科学院西安光学精密机械研究所 | System and method of detecting parallelism error between lathe turning axle and lathe knife rest guide rail |
CN105352591A (en) * | 2015-12-04 | 2016-02-24 | 东华大学 | Vibration characteristic test method of spinning spindle |
CN105405122A (en) * | 2015-10-26 | 2016-03-16 | 东南大学 | Circle detection method based on data stationarity |
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CN107631702A (en) * | 2017-09-15 | 2018-01-26 | 广东工业大学 | A kind of non-contact type rotary shaft coaxiality error detection method and device |
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CN109163679A (en) * | 2018-07-27 | 2019-01-08 | 东莞市凯融光学科技有限公司 | A kind of measurement method of image-type mode mechanical eccentric |
CN109186953A (en) * | 2018-07-27 | 2019-01-11 | 东莞市凯融光学科技有限公司 | A kind of measurement method of image-type optical mirror slip mechanical eccentric |
CN109737912A (en) * | 2019-03-21 | 2019-05-10 | 博奥生物集团有限公司 | A kind of eccentric detection method and Accentric detector |
CN110057830A (en) * | 2019-05-30 | 2019-07-26 | 核工业理化工程研究院 | Magnetic steel component measuring device based on LABVIEW |
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CN110243312A (en) * | 2019-05-09 | 2019-09-17 | 上海联影医疗科技有限公司 | Rack the coaxial degree measurement, device, method and storage medium |
CN110714869A (en) * | 2019-09-30 | 2020-01-21 | 华能四川水电有限公司 | Method and device for detecting central offset of rotor, storage medium and equipment |
WO2020051794A1 (en) * | 2018-09-12 | 2020-03-19 | 大连理工大学 | Method for calculating rotor assembly axis eccentricity based on radial run-out measurement |
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2009
- 2009-04-29 CN CNA2009100313397A patent/CN101556145A/en active Pending
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CN102353349A (en) * | 2011-09-30 | 2012-02-15 | 广东工业大学 | Machine vision based micro-sound film concentricity online testing system and testing method |
CN102353349B (en) * | 2011-09-30 | 2014-01-15 | 广东工业大学 | Machine vision based micro-sound film concentricity online testing system and testing method |
CN102645161A (en) * | 2012-03-31 | 2012-08-22 | 安徽大学 | Motor rotor position detection method based on image phase correlation algorithm |
CN102645161B (en) * | 2012-03-31 | 2015-01-28 | 安徽大学 | Motor rotor position detection method based on image phase correlation algorithm |
CN105157619A (en) * | 2015-07-10 | 2015-12-16 | 中国科学院西安光学精密机械研究所 | System and method of detecting parallelism error between lathe turning axle and lathe knife rest guide rail |
CN105405122A (en) * | 2015-10-26 | 2016-03-16 | 东南大学 | Circle detection method based on data stationarity |
CN105352591A (en) * | 2015-12-04 | 2016-02-24 | 东华大学 | Vibration characteristic test method of spinning spindle |
CN106441166A (en) * | 2016-09-28 | 2017-02-22 | 南京春辉科技实业有限公司 | Optical fiber connector coaxiality detection method and device thereof |
CN107631702A (en) * | 2017-09-15 | 2018-01-26 | 广东工业大学 | A kind of non-contact type rotary shaft coaxiality error detection method and device |
CN107687823A (en) * | 2017-10-20 | 2018-02-13 | 中核(天津)科技发展有限公司 | A kind of axiality adjusting apparatus and method of adjustment based on image detection |
CN109163679A (en) * | 2018-07-27 | 2019-01-08 | 东莞市凯融光学科技有限公司 | A kind of measurement method of image-type mode mechanical eccentric |
CN109186953A (en) * | 2018-07-27 | 2019-01-11 | 东莞市凯融光学科技有限公司 | A kind of measurement method of image-type optical mirror slip mechanical eccentric |
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US11307015B2 (en) | 2018-09-12 | 2022-04-19 | Dalian University Of Technology | Method for calculating eccentricity of rotor assembly axis based on radial runout measurement |
CN109737912A (en) * | 2019-03-21 | 2019-05-10 | 博奥生物集团有限公司 | A kind of eccentric detection method and Accentric detector |
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