CN103163141A - Strip steel surface online detection system and method based on embedded image processing system - Google Patents
Strip steel surface online detection system and method based on embedded image processing system Download PDFInfo
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- CN103163141A CN103163141A CN2011104189362A CN201110418936A CN103163141A CN 103163141 A CN103163141 A CN 103163141A CN 2011104189362 A CN2011104189362 A CN 2011104189362A CN 201110418936 A CN201110418936 A CN 201110418936A CN 103163141 A CN103163141 A CN 103163141A
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Abstract
The invention provides a strip steel surface on-line detection system and method based on an embedded image processing system, wherein the detection system mainly comprises an encoder (1) arranged on an S roller, fixed frames (10) positioned above and below a detected conveying strip steel, a linear LED light source (2) and a linear array CCD camera (3) which are arranged on the fixed frames, the embedded image processing system connected with the encoder and the CCD camera through a gigabit Ethernet, a server (5) connected with the embedded image processing system (4) through a switch (7), a storage (6) and a display (8). The invention ensures that the data acquisition of the surface quality information of the cold-rolled strip steel can be accurately carried out in real time by using few devices and a bus mode, saves a large amount of system resources, and has the advantages of simple structure and convenient maintenance. The method solves the problems that the pure software detection method based on the PC is relatively slow in operation speed, adopts multiple DSPs to process data in parallel, and is complex in system, high in cost and the like.
Description
Technical field
The present invention relates to a kind of surface of cold-rolled steel plate quality information online measuring technique, specifically a kind of surface of cold-rolled steel plate quality on-line detection system and method based on Embedded Image Processing System.
Background technology
China is iron and steel big producing country, current steel main line product such as Automobile Plate, stainless steel decorated sheet etc., and its surface quality plays decisive role to its oeverall quality and even the market competitiveness.At present, surface of cold-rolled steel plate mass defect detects the artificial visually examines of employing method, perhaps simple mechanical ﹠ electrical technology or optical technology detection method more.The manual detection mode has the shortcomings such as impact that detection effective velocity scope is little, visual sensitivity is low, be subjected to the bodily fuctions aspect, and the craftsmenship that requires of check system such as EDDY CURRENT is high timely based on simple mechanical ﹠ electrical technology or optics, and polished surface or rough surface can affect testing result.Flux-leakage detection method can not detect coarse surface, can not precisely identify defective.Laser detecting method is difficult to safeguard.
At present, it (is 200510010049.6 as number of patent application that the method that adopts charge coupled sensor to gather the strip surface quality defective also needs special-purpose image pick-up card and signal conversion equipment, name is called the analog-digital converter that uses in " image type online flaws detection equipment in line array for surface of strip steel and detection method thereof ", optical fiber translation interface etc.), can cause time-delay in defect information transmission and the consumption of system resource for high-speed cruising with steel.
Embedded system is a kind of " embedding controlled device inside fully; the dedicated computer system that designs for application-specific ", based on Embedded image processing techniques, can be described as again " machine vision ", with the image of measurand as information carrier, therefrom extract the purpose that Useful Information reaches measurement, have advantages of noncontact, high speed acquired information.
Occasion industrial monitoring, as online in plate surface quality the detection can be used a large amount of data of some complicated algorithm process, and volume, power consumption and the real-time of system had very high requirement.Traditional image processing system based on " video camera-image pick-up card-universal PC " is difficult to meet the demands, and the method that detects for plate surface quality at present mainly contains two kinds: based on the pure software detection method of PC, this method travelling speed is relatively slow.Another kind method is to adopt many DSP parallel data processing, and system is numerous and jumbled, and cost is higher.
Summary of the invention
The object of the present invention is to provide a kind of belt steel surface on-line detecting system and method based on Embedded Image Processing System, the means that employing machine vision and embedded digital information processing combine are to the cold rolling steel strip surface defect information of high speed, solution is relatively slow based on the pure software detection method travelling speed of PC, and numerous and jumbled based on system under the Cold-strip Steel Surface defective acquisition method of machine vision, device category is many, system resources consumption high etc. problem; To produce signal by scrambler and be combined with defect detecting system, effectively and accurately to defect information position and analyzing defect belong to which kind of type, satisfy under the cold-strip steel high-speed motion state steel strip surface defect information real-time collection and identification.
The object of the present invention is achieved like this, a kind of belt steel surface on-line detecting system based on Embedded Image Processing System, mainly comprise the scrambler that is arranged on on the S roller of travelling belt steel, be positioned at the fixed frame of detected travelling belt steel up and down, be arranged on linear LED light source and linear array CCD camera on fixed frame, the Embedded Image Processing System that is connected with scrambler, CCD camera by gigabit Ethernet, the server, storage and the display that are connected with Embedded Image Processing System by switch; Described Embedded Image Processing System mainly contains digital signal processing DSP and programmable logic device (PLD) FPGA forms.the linear red LED light source irradiation of detection method employing is upper in cold-strip steel, lower surface, by the high speed linear array CCD camera to the Cold-strip Steel Surface information, the information that collects is switched through at the camera internal direct and is changed to numerical information, and import Embedded Image Processing System into by gigabit Ethernet, in Embedded Image Processing System, the cold-strip steel image that collects is carried out pre-service, the pre-service of image refers to (comprise the boundary search algorithm by image processing algorithm, filtering is processed, algorithm for image enhancement etc.), whether the band steel image that judgement collects has those suspected defects, there is suspect image to enter in the server of acquisition system as finding, method by pattern-recognition further judges suspicious image information, by extraction and the feature selecting to eigenwert, defect information is determined and classification.
In the present invention; adopt linear red LED light source irradiation in the upper and lower surface of cold-strip steel; for CCD provides bright visual field; clearly collect the image of cold-rolled steel sheet; in the present invention; the position of designing red linear LED light source is adjustable by the knob in protective device; can guarantee that so in time adjusting LED light source is positioned at most suitable position and angle; make linear array CCD camera can collect a greater variety of steel strip surface defect images, can make image demonstrate exactly the characteristic information of defective simultaneously.Red linear LED light source has characteristics such as reaching fast illumination steady state (SS), the output of high illumination, high uniformity, and the wavelength of lighting source and the peak wavelength of CCD device are complementary simultaneously, make ccd sensor complete opto-electronic conversion with very high sensitivity.The linear light source of high strength can reduce the noise that natural light produces, the therefore red linear LED light source optimal selection that is the surface of cold-rolled steel plate defects detection.
In the present invention, adopt and a kind ofly directly picture signal is imported into the method for the transmission in Embedded Image Processing System by gigabit Ethernet, be different from the existing method of image processing system of image information being imported into by image pick-up card, the present invention greatly reduces the complicacy of system.Embedded Image Processing System is that main devices consists of by ready-made programmable gate array FPGA and digital signal processor DSP.Based on Embedded image processing system from process based on the image of PC different, pointed strong, low in energy consumption, the characteristics such as stability is good, and processing power is strong.FPGA is born parallel computation person, DSP is as the digital signal processor of special use simultaneously, be combined the real-time operation processing that walk abreast to the steel plate image information that gathers with FPGA, solved PC and carried out image and process and need to carry out the preservation of image, the signal lag that a series of processes such as compression and decompression are brought do not possess the problem of real-time detection.
From take optical fiber transmission signal different in other inventions, the present invention adopts Ethernet to carry out signal transmission, selects GigE Vision camera, GigE Vision is a kind of camera interface standard based on the exploitation of gigabit Ethernet communication protocol.In the application of industrial machine vision product, GigE Vision allows user's (100 meters) on very long distance to carry out the rapid image transmission with cheap standard cable.In the digital signal that the camera transfer is finished changing directly enters the embedded image pretreatment system by Ethernet, carry out the pre-service of cold-strip steel image, do not need so loaded down with trivial details signal conversion process, save a large amount of devices and the equipment such as analog-digital converter spare that need in signal conversion process, also saved a large amount of system resource simultaneously.
adopted a kind of pretreated method of image in the present invention, at first by the information from rotary encoder in system, doubtful defective image is selected and located, this provides convenience to Surface Defects in Steel Plate analysis and the classification of carrying out later, the mode that the defect image pretreatment system adopts DSP to combine with FPGA, FPGA carries out the sequential andlogic control to the whole system peripheral components, DSP carries out Boundary Detection to the band steel image information that collects, the figure image intensifying, area-of-interest (ROI) detection etc., with doubtful defective image and normal band steel Images Classification, doubtful defective image is passed at a high speed system server by gigabit Ethernet and is carried out further defect analysis and classification, thereby guarantee the real-time of Cold-strip Steel Surface defective data acquisition system.Whole system only uses gigabit Ethernet as the high speed data transfer mode, makes system can efficiently carry out real-time data acquisition.On server, doubtful defective steel strip surface defect is carried out recognition and classification, scrambler in system is connected with Embedded Image Processing System, carrying out coil of strip information in Embedded Image Processing System is the collection of production information (steel reel number, coil of strip positional information etc.), and rotary encoder provides the positional information of defective accurately for system.Import above-mentioned information into system server by Ethernet and demonstrate type, physical location, the degree of depth and the image information of steel strip surface defect on display interface, these information also will be kept in special-purpose mass memory simultaneously, facilitate the staff at any time defect information to be reviewed and analyzed.
Use a plurality of linear array CCD cameras to carry out synchronous acquisition in the present invention, reach the effect that covers whole cold-rolled steel sheet width, guaranteed the integrality of cold-rolled steel sheet image acquisition.The cold-rolled steel sheet image information of a plurality of collected by cameras embedded image pre-service platform by is separately respectively carried out the parallel processing of image, and the image information after by switch, a plurality of embedded image pretreatment systems being processed is uploaded to system server and carries out classification and the location that the defect image secondary analysis is steel plate defect.
The major defect type that forms in the steel plate rolling process detected, as: scratch, cohere band, plumage line, hickie, roll marks, rust staining, Coolant Stains, crackle, bubble etc.The cold-strip steel linear velocity scope that detects: 20m/min~800m/min, detection position: upper surface of steel plate and lower surface detect, the time range of system works: round-the-clock, and all the period of time, accuracy of detection: 0.30mm * 0.30mm, Detection accuracy>95%.
The present invention use few equipments and devices and bus mode guarantee to the data acquisition of Cold-strip Steel Surface quality information can be in real time, carry out exactly, saved a large amount of system resource, have advantages of simple in structure, easy to maintenance.Solved relatively slow based on the pure software detection method travelling speed of PC and adopted many DSP parallel data processing, the problem such as system is numerous and jumbled, and cost is higher.
Description of drawings
Fig. 1 is based on the plate surface quality on-line detecting system structural representation of embedded processing systems;
The embedded steel plate image processing system of Fig. 2 workflow diagram.
Embodiment
In conjunction with Fig. 1, concrete real-time mode is described: it by 1 speed measuring device rotary encoder, 2 linear LED light sources, 3 linear array CCD cameras, 4 embedded special digital image pre-service platforms (DSP+FPGA), 5 servers, 6 storage systems, 7 switches, 8 display systems, 9 print systems form and 10 protective devices form.Linear LED red light source is fixed on the top of protective device by the adjustable support of angle; by adjusting knob, linear LED red light source is fixed to the optimum position, guarantees that linear array CCD camera can collect more complete and Cold-strip Steel Surface defect characteristic accurately on bright market.The driving signal of linear array CCD camera is provided by programmable logic controller (PLC) spare FPGA on Embedded Image Processing System, the control line array CCD camera gathers the Cold-strip Steel Surface image information, image information is completed analog quantity to the conversion of digital quantity in linear array CCD camera inside, the cold-strip steel image information that conversion is good, the output signal that is linear array CCD camera is passed through Ethernet incoming image pretreatment system, carries out the pre-service of strip surface quality image and pre-judgement of merging, Boundary Detection, filtering and the ROI detection of image in DSP.Rotary encoder on the figure central roll is controlled the frequency acquisition of camera by the variation of the movement velocity of cold-strip steel, its output signal is as the trigger pip of linear array CCD camera.Programmable logic controller (PLC) spare FPGA in the image pretreatment system controls the data acquisition of Cold-strip Steel Surface quality, comprise and control linear CCD collected by camera Cold-strip Steel Surface image, control the transmission of linear CCD camera signal, in control special image pretreatment system, DSP to the pre-service of Cold-strip Steel Surface image and the pre-judgement of defective, controls pretreated cold-strip steel image information and is transferred to system server by Ethernet.System server is further analyzed, is judged and classification image, and the formation document deposits mass memory in, convenient playback at any time and printing.
the step of Cold-strip Steel Surface quality information acquisition method is (referring to Fig. 2): according to the frequency acquisition of the output signal drive wire array CCD camera of the scrambler on the S roller, under the driving of the programmable logic controller (PLC) spare of linear array CCD camera in the band steel surface image pretreatment system to the surface image information of cold-strip steel, fixing red linear LED light source, control irradiating angle and the light intensity of light source, for linear array CCD camera provides good visual field, the Cold-strip Steel Surface image information that collects by linear array CCD camera is imported digital information processing system (DSP) in the embedded image pretreatment system into by Ethernet and is carried out Cold-strip Steel Surface mass defect and judge in advance, merge through image, after noise processed and figure image intensifying etc. are processed, doubtful defective image and flawless image area are separated and divide by Ethernet interface be transferred on system server, server carries out the secondary judgement to doubtful defective image information by the method for pattern-recognition, for Cold-strip Steel Surface mass defect is analyzed and classifies, and by rotary encoder, defective is positioned, after completing above step, server is stored Cold-strip Steel Surface mass defect and is tabulated, information is deposited in the mass memory of system.Convenient various information of adjusting back at any time cold-strip steel.Demonstrate simultaneously the full detail of Cold-strip Steel Surface mass defect fully on display interface.
Wherein linear array CCD camera is selected the SG-11-02K80 model camera of Canadian DASLA company, scrambler is selected Japanese Nemicon rotary encoder OVW2-25-MD-2500, FPGA (Field Programmable Gate Array) control module device in the image pretreatment system is selected the Cyclone Series FPGA of U.S. altera corp, and digital signal processing unit is selected the TMS320DM648DSP of American TI Company.
Claims (2)
1. belt steel surface on-line detecting system based on Embedded Image Processing System, it is characterized in that: mainly comprise the scrambler (1) that is arranged on on the S roller of travelling belt steel, be positioned at the fixed frame (10) of detected travelling belt steel up and down, be arranged on linear LED light source (2) and linear array CCD camera (3) on fixed frame, by gigabit Ethernet and scrambler, the Embedded Image Processing System that the CCD camera is connected, the server (5) that is connected with Embedded Image Processing System (4) by switch (7), storage (6) and display (8), described Embedded Image Processing System mainly contains digital signal processing DSP and programmable logic device (PLD) FPGA forms.
2. one kind is utilized the described method that detects based on the belt steel surface on-line detecting system of Embedded Image Processing System of claim 1, it is characterized in that: adopt upper in cold-strip steel of linear red LED light source irradiation, lower surface, by the high speed linear array CCD camera to the Cold-strip Steel Surface information, the information that collects is switched through at the camera internal direct and is changed to numerical information, and import Embedded Image Processing System into by gigabit Ethernet, in Embedded Image Processing System, the cold-strip steel image that collects is passed through boundary search, the image processing algorithm of filtering processing and figure image intensifying carries out pre-service, whether the band steel image that judgement collects has those suspected defects, there is suspect image to enter in the server of acquisition system as finding, method by pattern-recognition further judges suspicious image information, by extraction and the feature selecting to eigenwert, defect information is determined and classification.
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