• 专利附录
  • 专利说明
  • 权利要求
  • 类似技术
  • 同族专利
  • 引用文献
  • 法律状态
  • 优先权
    • 专利摘要:
    method and device for classifying individual grains of objects of bulk materials, the present invention is a method and device for classifying individual grains of objects (3.1) of bulk materials (3) in a conveyor device (1) and a controllable unloading unit (2)! and fraction separator. in the aforementioned device and method, the criterion of classification by the height of the object (3.1) and the expansion of a light source (4) is advantageously used, whereby a strip of light (4.1) is projected transversely on a plane in relation to the direction transport (1) of bulk materials (3). objects (3.1) are moved under the light band (4.1), a first part (4.1.1) of the light is reflected, a second part (4.1.2) of the light penetrates at an entry location (3.1-1. ) being spread and exiting again through an exit location (3.1.2), a spread spread (b) is captured by a camera (9) and the correlated areas are identified in stored lines (bz). the measured values are subjected to an evaluation and generation of reference values and, depending on the pre-set classification parameters, the unloading unit (2) is activated.
    公开号:BR112013012542B1
    申请号:R112013012542-0
    申请日:2011-11-24
    公开日:2021-09-14
    发明作者:Killmann Dirk
    申请人:Steinert GmbH；
    IPC主号:
    专利说明:

    APPLICATION FIELD
    [001] The present invention relates to a method and device for classifying individual grains of bulk material objects, specifically crushed mineral ores, synthetic materials from fractionated and unfractionated waste and crushed wood in a conveyor device, with a Controllable unloading unit that separates bulk material identified by type into fractions. FUNDAMENTALS OF THE INVENTION
    [002] Classification methods and devices of this type are known in materials preparation techniques.
    [003] According to the document EP0550944A, a device is described that serves to classify opaque foreign bodies between transparent bodies. In particular, they are opaque foreign bodies, such as stones or ceramic pieces made from a large number of transparent bodies, such as glass pieces from recovered glass fragments.
    [004] This device comprises elements known as - motion devices for moving individual bodies over a scan line, - devices for scanning objects on the scan line by a light beam, - optical sensing devices, comprising a large number of bodies solids, - image recording elements for determining light reflected by the object on the scan line, - an air supply source, and - means for determining the outputs of said solid state element images for evaluating each of the groups of image of solid state elements where the object on the scan line is a foreign body or one of a plurality of other bodies.
    [005] Said device is characterized by - a plurality of nozzle elements which are arranged in a line parallel to the scan line such that each nozzle element corresponds to a set of "n" state image recording elements solid of said optical scanning device, where "n" is a positive integer, - a plurality of valves arranged in individual relationship with respect to the nozzle elements and individually controllable to let air pass from the supply source of air, and - valve control means for controlling the valves so that when an object is recognized as an opaque foreign body by a certain element of the plurality of solid state imaging elements by the judgment means, one of the elements from the nozzle corresponding to the specific assembly and adjacent nozzles on the opposite side of the assembly, a jet of air is blown to blow the object out.
    [006] Beside the systems in which the material to be classified is exposed to X-rays and later classified according to the nature of the returning radiation used as a classification criterion, systems are also known in which the intensity and spectral composition of the visible light is used for a so-called color classification.
    [007] According to EP0737112B1 / DE69430386T2 and through - a conveyor device equipped with a uniformly contrasted background and with a controlled system of superior lighting for the particulates to be transported and classified, - a position sensor to determine the position of particulates, equipped with a logic system that divides the observation area into a matrix of cells with a certain number of pixels, having a first controller, - an image detector for capturing a color image, - an image processor for receiving data from the observation area, and - a separating device activated by a second controller, the waste particulates are classified according to colors and on the basis of their differentiating signals.
    [008] This system is based on a known and established technological process that uses sensor-based classification techniques, such as data collection, data calculation, classification decision and control of a conveyor device. The aforementioned solution applies for the classification of waste, only when the material color is the determining criterion. If a layer of impurities or production materials obscures the color of the material used as a classification criterion, these systems cannot be used.
    [009] The source "http://www.besttoratec.com/sorter/ Helius_laser-sorter.htm" describes a line laser used for lighting and as an emitter for a color camera, but without a recognition system. 3D images.
    [010] In addition, on page 3 of the source "http://www.sick.fi/cli/products/machinevision/ruler/de.toolboxpar.0008.file.tmp/Produktinformation _Ruler.pdf" is described the use of a laser width as "diffuse laser light" for classification purposes.
    [011] In addition, in material classification applications in the wood industry, there is a need to evaluate both the shapes and the surface characteristics of objects. In conjunction with measuring the contour of an object, a grayscale image or an image with information about the surface (called the diffused light effect or ribbing effect) can also be generated simultaneously. In the mentioned example of the classification of cut wood, the geometric shape which can be determined beforehand is measured, only defects such as holes in branches and resinous vesicles can be recognized. With this information, the cut woods are then classified according to the mentioned quality characteristics - and not according to non-definable formats.
    [012] In these types of applications, cut woods are subjected to measurement processes at high speed, but not according to the classification criteria of recognition of non-definable shapes of the objects to be classified.
    [013] In addition, from document US20100290032A1 the classification system for plastics, fabrics, food products, paper, glass and metals is known, with the use of a mirrored wheel and a Laser guided in the infrared spectrum, which, however, does not have ability to perform a continuous measurement in all positions as information is sent sequentially through the mirror to its spot sensor. This solution only allows object recognition based on a spectral composition.
    [014] An analysis of document US6914678B1 reveals a system for automatic recognition and classification of special types of plastics, with the use of lamps that emit visible or infrared light. This system uses a mirror that deflects visible or infrared light, and a camera as a recognition unit. Different wavelengths can be recognized, but only the composition of a non-infrared spectrum or the spectrum of reflected visible light can be used, and only spectral differences are recognized.
    [015] In another area of application, the recognition of differences in tissues of living organisms, such as people or animals, and according to the document WO2006/038876A1, non-visible lasers such as "Monolithic lasers" with lengths of Fast-changing wave as systems for the generation of T (tomography) O (optical) C (coherent) imaging using the interferometry method. This system is intended for distance recognition through wavelength modulation. The aforementioned system can also be used in material inspections to detect cracks or irregularities in materials. Due to the use of a modulated spot laser with deflection mirrors, the surface cannot be recognized but only the internal structure. DESCRIPTION OF THE INVENTION
    [016] The current state of the art systems that enable the recognition of objects use, on the one hand, the surface color as a classification criterion, and on the other hand, detect the internal structure of an object. If a layer of impurities or production materials obscures the color of the material used as a classification criterion, these systems cannot be used.
    [017] In contrast, the present invention aims, fundamentally maintaining the technological evolution of classification techniques supported by sensors, to reveal a method and a device for the classification of individual grains of bulk material objects, specifically crushed mineral ores, synthetic materials from fractionated and unfractionated waste and crushed wood, but also including both metallic and non-metallic mineral components, which have efficient application and a multidimensional classification criterion, such as the separation by height of an object to be classified and which uses the propagation of a light source on the polygonal surface in advance of an indeterminate object to be classified and using known cameras.
    [018] According to the present invention, the method uses for the recognition of material differences, the characteristic of light propagation on the surface of the materials to be classified, in such a way that the light from a light emitter is projected transversely in relation to the direction of transport over the plane of a conveyor device, such as a conveyor belt or chute, objects to be sorted and lying in said plane are moved through the light, a part of the light is reflected from the surface of the objects , another part corresponding with the topological nature of the surface of the objects penetrates the upper geometries of the material geometries and is dispersed and exits again by an adjacent entry point, and that reflected propagation of this type is detected in a visibly defined width. In this process, the physical perception is used, that translucent objects have a wide reflection and opaque objects a narrow reflection.
    [019] Consequently, the core of the method according to the present invention focuses on the following steps, which define that - as classification criteria are used the height distribution of objects to be classified in a conveyor device with first means to form signals of sensor-based recordings to control a discharge unit and the propagation of a light band of constant illumination, of a light source that generates such a band of constant illumination, over the non-definable polygonal surface of individual objects, - a light strip is projected onto a plane and a first part of the light generated by the surface of the objects is reflected, and a second part corresponding with the topological or polygonal nature of the individual object surface penetrates into the corresponding upper polygonal geometry of the material at a location of entrance, then being expanded and exiting again through an exit location, with the light moving through a c. path beneath the surface of the material, - for a second means to detect a propagation reflected in a definable width of the light band, said reflected and scattered propagation is captured as digital signals in a pattern with a step width per segment along the light band optically and time-related through several sequential lines, through the principle of Laser triangulation or polygonation, resolved and determined at a height at a measurement location, - the captured/capturable propagation of the light band is recorded , and presented, by third-party means, the corresponding areas of the lines stored for measurements are identified with the object image of the corresponding real object, and the boundaries of the real objects, - the data of all measurements of an object image of a real object are forwarded as characteristic values of object images and depending on the pre-set classification parameters for the character values stics, an unloading unit of the conveyor device is activated, - fourth means (8) for identifying corresponding areas using adjustable thresholds for measuring values of objects (3) as signals of classification parameters, by means of which the discharge unit (2) of the first means (5) can be controlled.
    [020] This method is formed by the propagation of the light band indicated in an image (10) stored, being the limits of the real objects identified in the stored image.
    [021] Signals formed on the first media of the sensor-supported recordings can be formed on the second media and processed on the third media, the image and the fourth media.
    [022] According to the present invention, the width of the light band is captured and determined by a camera through the principle used of laser triangulation, with a locally scaled frequency.
    [023] This laser triangulation defines that fixed points of the grains of the bulk product with a non-determinable shape beforehand are determined and measured in terms of position according to the principle of trigonometry in a reference system, through the widths and lengths of the quasi trigonometric individual grains and their quasi azimuths.
    [024] The camera captures the Laser width viewed in line mode and related to lines through an image format interface. Said image is processed in a computer system through software.
    [025] Regardless of the classification parameters selected, the software controls an unloading unit of said conveyor device, which separates the flow of bulk product into at least two fractions.
    [026] The process defines, therefore, as classification criteria, a laser line width determined locally and additionally a height at a measurement location, in which the Laser line width was determined.
    [027] This combination enables, surprisingly, mainly with bulk materials containing mineral components, a classification of individual grains, for example, of bulk materials with quartz and feldspar components.
    [028] On the other hand, the method can also be used with bulk materials containing grooves, such as shiny metals, which generate a narrower reflection than synthetic materials.
    [029] The advantage of the present invention related to the entry with the analyzed disadvantages, for example, of color classification, lies in the fact that the permeability of light depending on the depth of penetration into the surface of an object to be classified, can be used as a classification criterion. At the same time the topological characteristics of the surfaces of the objects that are not determinable beforehand can be determined.
    [030] The mentioned process allows, for example, that mineral materials of different structures such as, for example, quartz and feldspar or scraps of different formats are separated according to their formats.
    [031] The aforementioned process encompasses, therefore, the characteristic of "product of the past" as a classification criterion, as in many cases the classification cannot be performed only with the color, such as airbag cartridges loaded in crushers. scraps, as both have the same color. Airbag cartridges always have, depending on how they work in an automotive vehicle, similar or equal shapes, which differ from other scrap pieces and are not significantly modified in shape with the application of crusher force.
    [032] An additional advantage of the Laser triangulation used in the present invention lies in the fact that the space occupied by the material to be classified can be specifically limited on a conveyor belt through sensors, as the material projects anyway out and above the conveyor belt. To get around this problem, for example, in color recognition, a differentiation between the color of the conveyor belt itself and the color of the objects must be provided. However, this solution cannot always be implemented without additional costs, as the conveyor belt usually ends up acquiring the color of the material flow.
    [033] Regarding the methods and devices known from the prior art, the present invention stands out for the fact that, due to the new combination and the fusion of the so-called light halo effect and height triangulation, for a more classification efficient, more than just spectral differences of objects to be separated can be used for their recognition.
    [034] Even more in detail, the aforementioned processing method is characterized by the classification criterion with the separation by height of the objects to be classified in a conveyor device and the propagation of a light band from a light source on the polygonal surface of indeterminate advance of individual objects, and means for activating an unloading unit through the following concrete steps define that a) the light range of the constant light source is projected transversely to the direction of transport of the bulk materials at the level of the conveyor device, b) the real objects to be classified and deposited at this level on the conveyor device are moved through the light strip, c) the first part of the light generated by the light strip is reflected by the surfaces of the objects, and the second part corresponding to the topological or polygonal nature of the surface of the individual object penetrates the polyg geometry. corresponding upper layer of the material at an entry location, then being scattered and exiting again through an exit location, with the light traveling along a path beneath the surface of the material, d) said propagation reflected and scattered in a pattern it is optically captured with a step width and stored with reference to the location and time as digital signals of several sequential captured lines, with the propagation of the camera's light band being captured by the principle of Laser triangulation or polygonation with a frequency of at least 100 Hz, with a resolution of at most 10 mm/Pixel, preferably 0.1 and 10 mm/Pixel, resolved and determined at a height at a measurement location, and the captured/capturable propagation of the light band is recorded , stored and displayed at least on the basis of lines or time-related image, e) the corresponding areas of the stored lines the object image of the corresponding real object is identified through through adjustable threshold adjustment values, where the limits of real objects are identified in the stored image through image processing methods, f) the data together of all measured values of the object image are subjected to a statistical evaluation and characteristic values of the images of the objects, and consequently also of the real objects, eg) depending on the pre-set classification parameters for the characteristic values with which the unloading unit of the conveyor device is activated, the bulk product is separated into at least two real object fractions of the bulk product.
    [035] The method is advantageously applied and used when - a line Laser are used as a light source and a light line, - the width of the steps can be from 0.1 to 10 mm per segment along the light strip , - the resolution of the light range is in a range of 0.1 to 10 mm/Pixel, - the corresponding image of the object can be identified in the stored image by image processing methods, and/or - a sensor is used of area for the camera working according to the principle of Laser triangulation.
    [036] For the convenient execution of the method of the present invention, a program is used as software in a computing unit controlling the method, which has at least one of the following functions, such as - optical recognition of the propagation of reflected or scattered light. surfaces of objects, in a pattern with a certain step width along the light band, - location and time-related storage in several sequentially captured lines in the form of digital signals, - identification of the corresponding areas in these stored lines and evaluation with the use of adjustable thresholds for measurement values such as images of objects, and activation of the unloading unit for separating objects into fractions.
    [037] In these functions the data or characteristics of the use of the light source, such as the line laser with the line laser light range, the steps and lines, the heights of a measurement location, as well as the time-related recording, storage and display, are scaled or digitally integrated into an image, to ensure that the requirements of the method according to claims 1 to 7 are met along with the corresponding installation characteristics.
    [038] Correspondingly, a device is used for carrying out the method comprising a) a conveyor device with first means for providing a sensor supported signal capture for activation of the unloading unit with the first means, b) a source of light to generate a light swath for image illumination, c) second means for capturing the reflected propagation of light in a defined width of the light swath, d) third means for location- and time-related storage of digital signals of several sequential captured lines, and display in one image, e) fourth means for identifying corresponding areas using object measurement value thresholds as signals of classification parameters, with which the first means can be activated, f) the first means to the fourth means each have one of the following elements: - a sensor, - a constructive unit for the pad r, - a computing unit for receiving values, - processing/evaluating the values in data and providing signals to be used with the program, and/or - a camera.
    [039] The light source to form the beam of the continuously illuminated light strip is designed as a line laser with an immobile optical element.
    [040] The present invention will be described below using the drawings and in an exemplary embodiment. BRIEF DESCRIPTION OF THE DRAWINGS
    [041] Figure 1 illustrates the scheme of the method according to the present invention, showing the operating principle and main characteristics, and Figure 2 illustrates the device according to the present invention, schematically showing the execution of the method. BEST MODE FOR CARRYING OUT THE INVENTION
    [042] According to Figure 1, it is illustrated the way in which a light strip 4.1 as a light line of a Laser line emitter used as a light source 4 is projected transversely to a transport direction identified by a arrow, on objects contained in bulk materials 3 and which do not completely absorb laser radiation on a level of the conveyor device 1. Simultaneously the objects 3.1 deposited on this level are moved under the light band 4.1.
    [043] In this way, a first part 4.1.1 of the light generated by the light strip 4.1 is reflected by one of the surfaces of the objects 3.1 A second part 4.1.2 of the light penetrates, according to the unrecognizable topological or polygonal characteristics of the surface of the individual objects 3.1, in the corresponding upper polygonal geometry of the material at an input location 3.1.1, then being spread out and outputting again by another output 3.1.2. This means that light travels down a path under the surface of the material in a way not contemplated by the current state of the art.
    [044] The propagation B of the light strip thus reflected is determined as height h at a measurement location M. Furthermore, this propagation B is captured in a pattern R, with a given step width Bw, preferably of 0, 1 to 10 mm per segment, optically along the 4.1 light range by a camera 9 according to the principle of Laser triangulation or polygonation with a frequency of at least 100 Hz and with a resolution of at most 10 mm/Pixel, preferably with a resolution of 0.1 to 10 mm/Pixel, it is then evaluated and stored as digital signals of several lines Bz sequences captured related to location and time and presented in an image 10.
    [045] In these stored Bz lines, the correlated areas are identified with the help of adjustable thresholds of measured values as object 3.1. Then the data of all related and measured values of an object 3.1 are subjected to a statistical evaluation and defined as characteristic values of the 3.1 objects. In the mentioned process, an object image related to the real object 3.1 is identified, through the identification of the limits of the real objects 3.1 and through image processing methods in the stored image 10.
    [046] Depending on the pre-set classification parameters for the material values, an unloading unit 2 is activated in the transport direction 1, which separates bulk materials 3 into at least two fractions, such as recyclables and non-waste. usable objects 3.1 of bulk materials 3.
    [047] The device comprises, according to Figure 2, a conveyor device 1 with first means 5 for the controlled activation of an unloading unit 2. The light source 4 operating as a line laser generates the light strip 4, 1 as Laser line. The second means 6 captures the reflected and scattered propagation B (Figure 1) at a definable width of the light band 4.1, and the third means 7 stores the digital signals related to the location and time of several lines captured sequentially in an image 10. The fourth means 8 have the function of identifying correlated areas with the aid of adjustable thresholds of measured values of objects 3.1, as signals for the classification parameters, with which the first means 5 are activated.
    [048] For execution, the first to the fourth half 5, 6, 7, 8 can each have at least one of the following elements, such as sensors 11, a constructive unit 12 for the R pattern, a display screen 13 for viewing the image 10 and a computing unit 13 to be used with the program.
    [049] From the comparison - of the state of the art initially evaluated, as well as the disadvantageous aspects revealed in documents US 2010 0 290 032 AI and US 6 914 678 Bl, - of the new task of the invention and given the exemplary execution mode presented by the present invention it becomes surprisingly clear that through the present invention - during illumination, a laser line of continuous illumination is generated in the visible spectrum with constant wavelength, - a camera operating on the principle of laser triangulation, that is, a 2D sensor, is used to capture almost simultaneously the full propagation width of the Laser line, and differences in brightness are used in the camera image, - there is a geometric deviation of the Laser light over the surface and under the surface after its exit, such as so that - as the overall relevant effect, line-based height recognition and Laser width recognition are used with the so-called In the light halo effect, to differentiate objects present in the flow from the bulk material, and simultaneously to detect a height difference between the conveyor belt and the objects.
    [050] In this way, the present invention advantageously differs from the prior art, which essentially reveals the recognition of objects, by the fact that, as a classification criterion, on the one hand, the color of the surfaces is used and, on the other hand, detecting the internal structure of an object. INDUSTRIAL APPLICABILITY
    [051] As the present invention enables the classification with individual grain sensors of non-definable surfaces beforehand and also of different bulk materials, through the definition of location points on the grains and through electronic polygonation, the present invention represents a advantageous solution that guarantees wide commercial applicability and industrial use. REFERENCE LIST 1 = conveyor device 2 = unloading unit 3 = bulk product 3.1 = actual bulk product object 3 3.1.1 = entry location 3.1.2 = exit location 4 = light source, line laser 4.1 = light strip, laser line 4.1.1 = first reflected part of light 4.1.2 = second scattered part of light 5 = first means of activation of unloading unit 2 6 = second means 7 = third means 8 = fourth means 9 = camera 10 = image 11 = sensor 12 = constructive unit for pattern R 13 = display screen 14 = computation unit B = reflected and scattered propagation Bw = reflected and scattered step width Bz = captured and stored line H = height of measurement location MM = measurement location R = standard
    权利要求:
    Claims (10)
    [0001]
    1. METHOD FOR THE CLASSIFICATION OF INDIVIDUAL GRAIN OBJECTS OF BULK MATERIALS, characterized by the fact that - the distribution of the height of a plurality of objects (3.1) in a conveyor device (1) and the propagation of a light strip of illumination (4.1) temporarily constantly illuminating the polygonal surface of the individual object (3.1) that could not be previously identified is used as a classification criterion, - the light band (4.1) is projected onto a plane in which a first part ( 4.1.1) of the generated light is reflected by the surface of the objects (3.1), and a second part (4.1.2) corresponding to the topological or polygonal nature of the surface of the individual object (3.1) penetrates into the corresponding upper polygonal geometry of the material in an entry location (3.1.1), then being spread and exiting again through an exit location (3.1.2), with the light traveling along a path under the surface of the material, - the aforementioned propagation ref letite and scattered (B) is optically detected and resolved into a pattern (R) with one step width (Bw) per segment across the light band (4.1) optically and related to location and time through several lines sequential (Bz), through the principle of laser triangulation or polygonation, and is determined at a height (h) at a measurement location (M), - the captured/capturable propagation (B) of the light band (4.1) is recorded and presented as a stored (10) image, the corresponding areas of the stored lines (Bz) for measurements are identified with the object image of the corresponding real object (3.1), and the boundaries of the real objects are identified in the image (10) stored, - the data of all measurements of an object image of each real object (3.1) are converted into characteristic values of object images and, depending on the classification parameters preset for the characteristic values, an unloading unit ( 2) of the device tr ansporter (1) is triggered.
    [0002]
    2. METHOD according to claim 1, characterized in that in the classification of individual grains of objects (3.1) of bulk materials, specifically crushed mineral ores, synthetic materials from fractionated and unfractionated waste and crushed wood in a device conveyor (1) the following steps are performed: a) the light strip (4.1) illuminated temporarily from the light source (4) is projected transversely to the direction of transport (1) of the bulk materials (3) on the level of the conveyor device (1); b) the objects (3.1) to be classified and deposited at this level on the conveyor device are moved through the light strip (4.1); c) the first part (4.1.1) of the light generated by the light strip (4.1) is reflected by the surfaces of the objects (3.1), and the second part (4.1.2) corresponding to the topological or polygonal nature of the surface of the object individual (3.1) penetrates the corresponding upper polygonal geometry of the material at an entry location (3.1.1), then being spread and exiting again through an exit location (3.1.2); d) the reflected and scattered propagation (B) in a pattern (R) is optically captured with a step width (Bw) per segment along the light band (4.1) through a camera (9) and stored with reference to the location and time as digital signals of several sequential lines (Bz) captured, and the propagation (B) of the light band (4.1) is detected by the camera (9) through the principle of laser triangulation or polygonation with a frequency of at least 100 Hz, with a resolution of at most 10 mm/Pixel and determined at a height (h) at a measurement location (M), and the captured/capturable propagation (B) of the light band (4.1) is recorded in at least line by line and at least time-related and presented in an image (10); e) in these stored lines (Bz), the correlated areas are identified with the aid of adjustable thresholds of measured values for each object image (3.1.4) corresponding to the real object (3.1), by identifying the limits of the real objects shown in the stored image (10); f) the data together of all measured values of the object image of the real object (3.1) are subjected to a statistical evaluation and characteristic values of the object images and also of the objects themselves (3.1); eg) depending on the pre-set classification parameters the unloading unit (2) of the conveyor device (1) is activated, which separates the bulk materials (3) into at least two object fractions (3.1) of the bulk materials ( 3).
    [0003]
    3. METHOD according to any one of the preceding claims, characterized in that it uses a line laser as a light source (4) and a laser line as a light strip (4.1).
    [0004]
    4. METHOD according to any one of the preceding claims, characterized in that it uses a step width (Bw) from 0.1 to 10 mm per segment along the light strip (4.1).
    [0005]
    5. METHOD according to any one of the preceding claims, characterized in that the resolution of the light band (4.1) is in the range of 0.1 to 10 mm/Pixel.
    [0006]
    6. METHOD according to any one of the preceding claims, characterized in that the corresponding object image is identified in the stored image (10) through image processing methods.
    [0007]
    7. METHOD according to any one of the preceding claims, characterized in that it uses an area sensor for the camera (9) working in accordance with the principle of laser triangulation.
    [0008]
    8. METHOD according to any one of the preceding claims, characterized in that it uses a program as software in a computing unit (14) controlling the method, which has at least one of the following functions: - optical recognition of the propagation of reflected light or spread over the surfaces of objects (3.1), in a pattern with a certain step width along the light band (4.1), - location and time-related storage in several sequentially captured lines in the form of digital signals, - identification of the corresponding areas in these stored lines (Bz) and evaluation using adjustable thresholds for measurement values such as object images and control of the unloading unit (2) for the separation of objects (3.1) into fractions, in these functions, the data or light source usage characteristics (4), such as the line laser with the line laser light strip (4.1), the steps (Bw) and the lines (Bz), the heights. ras (h) of a measurement location (M) and the time-referenced recording, storage and display in an image (10) are integrated in a scaled or digitized form.
    [0009]
    9. DEVICE FOR THE CLASSIFICATION OF INDIVIDUAL GRAIN OBJECTS (3.1) OF BULK MATERIALS, characterized in that it comprises: a) a conveyor device (1) with first means (5) to provide the capture of signals supported by sensors for the activation of the unloading unit (2), b) a light source (4) for generating an illuminating light strip (4.1) for the illumination of the image, c) second means (6) for capturing the reflected propagation of light in a defined width (B) of the light band (4.1), d) third means (7) for the location and time-related storage of digital signals of several captured sequential lines (Bz), and display in one image (10), e) fourth means (8) for identifying corresponding areas using object measurement value thresholds (3) as signals of classification parameters, with which the first means (5) can be activated , where f) the first half to the fourth half (5, 6, 7, 8) have at least one of the following elements each: - a sensor (11), - a constructive unit (12) for the pattern (R), - a computing unit (14) for receiving values , - processing/evaluating data values and providing signals to be used with the program, - a camera (9).
    [0010]
    10. DEVICE according to claim 9, characterized in that the light source (4) to form a beam for the continuously illuminated light strip (4.1) is projected as a line laser with an immobile optical element.
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    CA2816162A1|2012-07-05|
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    CA2816162C|2014-07-15|
    CN103221151B|2014-10-22|
    WO2012089185A1|2012-07-05|
    CN103221151A|2013-07-24|
    RU2526103C1|2014-08-20|
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    法律状态:
    2018-12-18| B06F| Objections, documents and/or translations needed after an examination request according [chapter 6.6 patent gazette]|
    2019-02-05| B25D| Requested change of name of applicant approved|Owner name: STEINERT GMBH (DE) |
    2019-10-15| B06U| Preliminary requirement: requests with searches performed by other patent offices: procedure suspended [chapter 6.21 patent gazette]|
    2021-08-10| B09A| Decision: intention to grant [chapter 9.1 patent gazette]|
    2021-09-14| B16A| Patent or certificate of addition of invention granted [chapter 16.1 patent gazette]|Free format text: PRAZO DE VALIDADE: 20 (VINTE) ANOS CONTADOS A PARTIR DE 24/11/2011, OBSERVADAS AS CONDICOES LEGAIS. |
    优先权:
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    DE102010052338A|DE102010052338A1|2010-11-25|2010-11-25|Method and device for single-grain sorting of bulk materials of any kind|
    DE102010052338.0|2010-11-25|
    PCT/DE2011/002027|WO2012089185A1|2010-11-25|2011-11-24|Method and device for individual grain sorting of objects from bulk materials|
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