CN202523078U - Slab automatic identifying and tracking system based on coded image of steel slab - Google Patents
Slab automatic identifying and tracking system based on coded image of steel slab Download PDFInfo
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- CN202523078U CN202523078U CN2012201271401U CN201220127140U CN202523078U CN 202523078 U CN202523078 U CN 202523078U CN 2012201271401 U CN2012201271401 U CN 2012201271401U CN 201220127140 U CN201220127140 U CN 201220127140U CN 202523078 U CN202523078 U CN 202523078U
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Abstract
The utility model discloses a slab automatic identifying and tracking system based on the coded image of a steel slab, which comprises a CCD camera (1), an optical transmitter (2), an optical receiver (3), a video distributor (4), a monitoring screen (5), a digital video recorder (6), an acquisition card (7), an industrial personal computer (8), a display (9) and a local PLC (10). The CCD camera (1) is used for shooting the video of a slab. The slab automatic identifying and tracking system based on the coded image of a steel slab is high in degree of automation.
Description
Technical field
The utility model relates to a kind of automatic recognition and tracking of slab system based on iron and steel slab coded image.
Background technology
Development along with industrial automation; In steel industry; The requirement to the logistics management automatization level has progressively improved in enterprise; Iron and steel slab information is that iron and steel slab coding is the important information of iron and steel enterprise's logistics management and production run, adopts certain letter or number and assembly coding thereof to represent usually, obtains iron and steel slab information automatically and the slab tracking in the logistics management and enterprise automation and information-based is produced significant.Slab tracking is meant the slab cutting information and the information of weighing of the slab management information picture automatic reception continuous casting level two in the steel-making side material module in the MES system.
At present, domestic most of steel plant, the identification of iron and steel slab coding also rests on the basis of artificial cognition, lacks the measure that iron and steel slab coding is discerned automatically.Simultaneously; Existing character recognition technologies is mainly used in the simple occasion of optical imagery background; And the slab production line of iron and steel sheet and plate exists circumstance complication, photoenvironment to change; The influence of abominable factors such as the character imaging background complicacy of slab side, existing character recognition technologies can't be advantageously applied to iron and steel slab code identification.In addition, the inefficiencies of artificial cognition has a strong impact on automatization level and enterprise production system perfect of the slab tracking in the logistics management.
At present, slab tracking is mainly realized the tracking to front and back two-step slab in the MES system.This semi-automatic slab tracking system can not be accurately and real-time follow-up be sent to the slab situation of hot rolling mill from the converter shed; To the information change that produces in this transfer process; The MES system is not revised in real time; Make that information and actual slab information in the MES system are variant, operation logistics consistent with information in kind before and after can not really realizing, the slab that does not have really to realize a level system is from motion tracking.
The utility model content
The utility model technical matters to be solved provides a kind of automatic recognition and tracking of slab system based on iron and steel slab coded image; Should have the automaticity height, the characteristics that code identification efficient is high based on the automatic recognition and tracking of the slab system of iron and steel slab coded image.
The technical solution of utility model is following:
A kind of automatic recognition and tracking of slab system based on iron and steel slab coded image, what comprise ccd video camera, light end transmitter, light end receiver, display, band capture card is used to realize said iron and steel slab the coding industrial computer and the on-the-spot PLC of identification automatically; The output terminal of ccd video camera is connected with the input end of light end transmitter, and the output terminal of light end transmitter is connected through optical fiber with the input end of light end receiver; Capture card is connected with industrial computer through the PCI slot; Display is connected with industrial computer, and on-the-spot PLC is connected with the COM1 of industrial computer.
The described automatic recognition and tracking of slab system based on iron and steel slab coded image also comprises video distributor, monitoring screen and DVR, and light end receiver links to each other with capture card through video distributor; The input end of monitoring screen and DVR all is connected with the output terminal of video distributor.
Beneficial effect:
The automatic recognition and tracking of the slab system based on iron and steel slab coded image of the utility model; Iron and steel slab code identification is carried out in alternative manual work; Avoid effectively because the iron and steel slab coding mistake identification that workman's subjective reason causes; Strengthen the automatization level of Inner Logistics Management, improved the production efficiency of enterprise, and reduced labor intensity of operating personnel.Iron and steel slab after identification coding is passed to the MES system, realize automatically, all fronts of iron and steel slab information are followed the tracks of, improve the logistics management level between two factories thereby reach to the tracking of iron and steel slab information between converter shed and hot rolling mill.The human-computer interaction interface simplicity of design of this system is convenient to the site operation personnel and is used.This system recognition rate is high, and speed is fast, and working stability is reliable, has stronger practical.To the character-coded characteristic of slab, adopt a kind of new method to carry out feature extraction, improved comprehensive that image information features extracts, it is simple to have a feature extraction, and computing is convenient, and can realize the identification of iron and steel slab coding effectively.
Description of drawings
Fig. 1 is the hardware architecture block diagram based on the automatic recognition and tracking of the slab system of iron and steel slab coded image;
Fig. 2 is the principle of work block diagram based on the automatic recognition and tracking of the slab system of iron and steel slab coded image;
Fig. 3 is the software flow pattern based on the automatic recognition and tracking of the slab system of iron and steel slab coded image.
Embodiment
Below will combine accompanying drawing and specific embodiment that the utility model is explained further details:
Embodiment 1:
In the present embodiment based on the automatic recognition and tracking of the slab system of iron and steel slab coded image by ccd video camera 1, light end transmitter 2, light end receiver 3, video distributor 4, monitoring screen 5, DVR 6, capture card 7, industrial computer 8 and display 9; And on-the-spot PLC10 forms; As shown in Figure 1, ccd video camera 1 is responsible for taking the slab video.Fiber optic is the equipment that light signal and electric signal are changed each other, and light end transmitter 2 is to receive electric signal, converts light signal to; Light end receiver 3 is receiving optical signals, converts electric signal to; Effect is to convert video information to optical information, realizes video transmission through optical fiber, and Optical Fiber Transmission has advantages such as low, the anti-interference and capacity of loss is big; Thus, reduce the loss of vision signal, strengthen antijamming capability and transmission real-time; Guarantee in the transmission course quality of vision signal.On-the-spot PLC10 is connected with industrial computer 8 communications, is used for to industrial computer 8 transmission iron and steel slab codings.
Monitoring screen 5, the just real-time shooting picture that shows ccd video camera 1 belongs to auxiliary facility, and is irrelevant with the system identification function.
Ccd video camera 1 through light end transmitter and light end receiver, sends the video that collects to monitoring screen 5, DVR 6 and capture card 7 respectively by video distributor 4.[photoelectric detection system is made up of infrared transmitting device and receiving trap, when slab arrives and blocks infrared ray, causes receiving trap can't receive infrared ray when the motion slab triggers photoelectric detection system generation arrival signal; At this moment, output slab arrival signal is promptly realized triggering]; System start-up capture card 7; Images acquired from the video that collects obtains the single frames original image successively, obtains the multiframe original image through after a while.
The iron and steel slab coding automatic identifying method that the utility model relates to is following:
A kind of iron and steel slab coding automatic identifying method obtains continuous multiframe original image at the transmission scene of iron and steel slab, since the first frame original image, successively each frame original image is discerned iron and steel slab coding according to the following steps automatically:
Step 1: original image is carried out the image pre-service; Described pre-service comprises that gray processing is handled, mean filter is handled and difference processing; Described difference processing refers to filtered image and Background are made difference processing, obtains the difference gray-scale map; Said Background is meant when not having slab in system's judgement original image, background picture is preserved or be updated to filtered image;
Step 2: pretreated image is carried out binaryzation, again the binary map of gained is carried out slab code detection and coding site location, the projection process method is adopted in described slab code detection and coding site location;
Step 3: original image is carried out cutting according to the boundary coordinate that aforesaid coding site location obtains, obtain a plurality of monocase images, said monocase image is meant and only contains a character-coded image; Each monocase image is all carried out character recognition, thereby accomplish the slab code identification in the current frame original image;
Returning step 1 pair next frame original image handles.
The process of the slab code detection in the step 2 is: pretreated image is carried out binary conversion treatment obtain binary map; Binary map is carried out vertical projection; If there are intersection point in resulting vertical projection curve and preset level line; Then judge and contain the slab coding in the present image, otherwise do not have the slab coding in the explanation present image;
Described vertical projection refers to calculate the Y axial coordinate value of the quantity of the white pixel point of each row in the binary map as the vertical projection curve, with the X axial coordinate value of the pixels across point sequence number in the binary map as the vertical projection curve, forms the vertical projection curve.
In the step 2, the threshold value of said binary conversion treatment is avg+N, and the N value is the arbitrary value in 20～70; Avg is the mean value of gray-scale map entire image grey scale pixel value after the difference.
Slab coding site location process in the step 2 is:
(1) binary map is carried out horizontal projection, obtain the horizontal projection curve; Two intersection points of horizontal projection curve and preset level line are the up-and-down boundary point;
(2) vertical projection curve and preset level line intersect, and form many antinodes, and each is to the border, the left and right sides of the promptly corresponding monocase of adjacent intersection point;
(3) based on the border, the left and right sides of described up-and-down boundary point and each monocase, binary map is carried out cutting, obtain a plurality of monocase images;
Described horizontal projection, the quantity of white pixel point that refers to calculate in the binary map each row be as the Y axial coordinate value of horizontal projection curve, with the sequence number of the vertical pixel in the binary map X axial coordinate value as the horizontal projection curve, formation horizontal projection curve.
The preset level line is 15 at the ordinate of the coordinate system at horizontal projection curve and vertical projection curve place.
Described monocase image character identification may further comprise the steps:
Step a: the monocase image is carried out gray processing, obtain the monocase gray-scale map;
Step b: said monocase gray-scale map is carried out Filtering Processing, obtain filtered monocase gray-scale map;
Step c: said filtered monocase gray-scale map is carried out binary conversion treatment, obtain the monocase binary map;
Steps d: said monocase binary map is carried out size normalization handle, obtain normalization monocase binary map;
Step e: said normalization monocase binary map is pursued the pixel feature extraction, obtain eigenvectors matrix; Describedly be meant by the pixel feature extraction: normalization monocase binary map is scanned line by line; To the white pixel point in the normalization monocase binary map; Getting eigenwert is 1, and to the black pixel point in the normalization monocase binary map, getting eigenwert is 0; Obtain an eigenvectors matrix at last, the dimension of eigenvectors matrix equals the total number of pixel in the normalization monocase binary map;
Step f: pursue the pixel template matches:
Described eigenvectors matrix and a plurality of Character mother plate are mated, obtain a plurality of similarities, similarity refers to that the identical element number accounts for the ratio of total element number; With the matching result of the maximum pairing character of Character mother plate of similarity as current monocase image; The number of elements that comprises in number of elements in each Character mother plate and the eigenvectors matrix is identical.
Among the described step f; Said eigenvectors matrix and Character mother plate matching way are: each element in the comparative feature vector matrix and the corresponding element in the character masterplate successively; Judge whether identical; And the number of statistics identical element, the ratio that the number of identical element is accounted for total element number is as the similarity of current monocase image with this current Character mother plate.
Among the described step f; The manufacturing process of said Character mother plate is following: at first obtain the slab coded image, be encoded to one group to comprise all single slabs, choose the monocase image of one group of slab coding; Through the processing of step a to step e; Obtain one group and slab coded image characteristic of correspondence vector matrix, this stack features is stored as file, be one group and slab coded image corresponding characters template.
The binary conversion treatment of carrying out described monocase gray-scale map adopts big Tianjin method;
Described size normalization processing is meant and converts binary map into 50 * 60 Pixel Dimensions sized images;
Described Character mother plate is many groups;
The character that described Character mother plate corresponding characters group comprises is at least a in digital 0-9, English capitalization, english lower case, the Chinese character.
In the code identification process, whenever identify a character, then that this character is corresponding degree of confidence increases by 1, and the degree of confidence initial value is 0; After last coding completion code identification to any iron and steel slab, if the corresponding a plurality of identification characters of some codings are then got the highest identification character of degree of confidence as final recognition result.
Claims (2)
1. the automatic recognition and tracking of slab system based on iron and steel slab coded image; It is characterized in that, comprise the industrial computer (8) and the on-the-spot PLC (10) that are used to realize the automatic identification of said iron and steel slab coding of ccd video camera (1), light end transmitter (2), light end receiver (3), display (9), band capture card (7); The output terminal of ccd video camera (1) is connected with the input end of light end transmitter (2), and the output terminal of light end transmitter (2) is connected through optical fiber with the input end of light end receiver (3); Capture card (7) is connected with industrial computer (8) through the PCI slot; Display (9) is connected with industrial computer (8), and on-the-spot PLC (10) is connected with the COM1 of industrial computer (8).
2. the automatic recognition and tracking of the slab system based on iron and steel slab coded image according to claim 1; It is characterized in that; Also comprise video distributor (4), monitoring screen (5) and DVR (6), light end receiver (3) links to each other with capture card (7) through video distributor (4); The input end of monitoring screen (5) and DVR (6) all is connected with the output terminal of video distributor (4).
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2012201271401U CN202523078U (en) | 2012-03-30 | 2012-03-30 | Slab automatic identifying and tracking system based on coded image of steel slab |
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| CN2012201271401U CN202523078U (en) | 2012-03-30 | 2012-03-30 | Slab automatic identifying and tracking system based on coded image of steel slab |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105547257A (en) * | 2015-12-10 | 2016-05-04 | 武汉钢铁(集团)公司 | Snapshotting apparatus for image of running state of railway freight car, and application method thereof |
| CN110197179A (en) * | 2019-03-14 | 2019-09-03 | 北京三快在线科技有限公司 | Identify method and apparatus, storage medium and the electronic equipment of card number |
-
2012
- 2012-03-30 CN CN2012201271401U patent/CN202523078U/en not_active Expired - Fee Related
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105547257A (en) * | 2015-12-10 | 2016-05-04 | 武汉钢铁(集团)公司 | Snapshotting apparatus for image of running state of railway freight car, and application method thereof |
| CN110197179A (en) * | 2019-03-14 | 2019-09-03 | 北京三快在线科技有限公司 | Identify method and apparatus, storage medium and the electronic equipment of card number |
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| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20121107 Termination date: 20150330 |
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| EXPY | Termination of patent right or utility model |