EP1737587B1 - Procede de preparation de donnees de surface, procede et dispositif d'evaluation de qualite et de gestion de qualite d'un materiau en bande - Google Patents

Procede de preparation de donnees de surface, procede et dispositif d'evaluation de qualite et de gestion de qualite d'un materiau en bande Download PDF

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EP1737587B1
EP1737587B1 EP05715548.3A EP05715548A EP1737587B1 EP 1737587 B1 EP1737587 B1 EP 1737587B1 EP 05715548 A EP05715548 A EP 05715548A EP 1737587 B1 EP1737587 B1 EP 1737587B1
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Prior art keywords
data
strip material
strip
quality
spreadsheet
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German (de)
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EP1737587A1 (fr
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Falk-D. KÜBLER
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Isra Parsytec GmbH
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Parsytec Computer GmbH
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Priority claimed from DE200410010479 external-priority patent/DE102004010479A1/de
Priority claimed from DE200410022607 external-priority patent/DE102004022607A1/de
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    • BPERFORMING OPERATIONS; TRANSPORTING
    • B21MECHANICAL METAL-WORKING WITHOUT ESSENTIALLY REMOVING MATERIAL; PUNCHING METAL
    • B21CMANUFACTURE OF METAL SHEETS, WIRE, RODS, TUBES OR PROFILES, OTHERWISE THAN BY ROLLING; AUXILIARY OPERATIONS USED IN CONNECTION WITH METAL-WORKING WITHOUT ESSENTIALLY REMOVING MATERIAL
    • B21C51/00Measuring, gauging, indicating, counting, or marking devices specially adapted for use in the production or manipulation of material in accordance with subclasses B21B - B21F

Definitions

  • the present invention relates to a method for processing data related to coordinates of a surface, referred to below as surface data, to a method and a device for quality evaluation of strip material, and to a method for quality management of strip materials (see, for example, US Pat US-A-4 211 132 ).
  • control of the nature and / or surface of the strip material must be made, in particular, for anomalies, prior to winding into coils.
  • a Surface inspection is regularly carried out by specially trained personnel, who either control the surface themselves (ie observe them continuously) or use an automatic surface inspection system.
  • Such systems monitor the surface of the strip material by way of example with cameras, various monitoring principles being known.
  • other data that does not necessarily describe anomalies such as thickness of the material, surface roughness, temperature profile of a heat treatment, etc., can be determined by different measuring methods and assigned to the individual surface points.
  • All of these systems have the advantage of collecting significantly more data and detecting surface anomalies than the "visual" inspection by an inspector.
  • the visual control usually causes 2 to 5 anomalies per coil, exceptionally more than 20 anomalies.
  • the number of registered anomalies is regularly more than a factor 100 higher for a comparable coil.
  • this is an advantage because significantly more anomalies can be detected, but at the same time it presents the operator with virtually insurmountable hurdles: Due to the large number of registered anomalies (average hundreds to several thousand per coil), the observer can be practical due to the large volume of data no longer distinguish which of the registered anomalies are relevant for achieving a certain quality standard of the end product to be produced from the strip material and which are not.
  • the inventive method is used for processing data of a strip material, in particular of metal and / or paper tapes, wherein the data in the form of assignable by coordinates of the strip surface records and information about the nature of the tape and / or its surface and / or an optionally include existing anomaly.
  • At least a portion of the data sets are grouped and stored in cells based on predetermined grouping rules whose geometric arrangement on a screen or other visualization medium has a topological similarity to a tape surface, the contents of the cells for further electronic processing and / or association with other cells
  • the content of a cell may not only be one-dimensional but may contain and provide source data, grouping rules and / or processing formulas.
  • a topological similarity between the surface of the tape and the representation of the data helps a user to intuitively manipulate the content of the cell and its links.
  • a topological similarity does not have to mean the true-to-scale mapping of the entire band surface, but may refer to a distorted representation of the whole or part of the surface. It is important that the part just shown corresponds approximately to the constellation of the considered surface points or surface areas on the strip surface.
  • Particularly preferred according to the invention is the representation of such cells, in particular on a screen, in the form of at least one spreadsheet with a plurality of cells arranged in rows and columns.
  • Spreadsheets for displaying and manipulating data are widely used and can be used without programming knowledge.
  • An anomaly refers to the deviation of the surface from a desired nominal state. In the case of steel strips, this may be, for example, a roll impression or an oil stain. In the case of paper tapes, this can also be a discoloration or a thickening, for example. For paper webs, for example, even further information can be obtained by fluoroscopy, which provides additional information about material anomalies.
  • a grouping of the surface data can take place in such a way that a spatial grouping of the data records takes place, which can be spatially assigned to a later end product.
  • a grouping rule may be applied which summarizes the surface data corresponding to the part of the surface of a steel strip which later forms the surface of the hood. This group of surface data then includes all the anomalies that have been noticed in this spatial area during the surface inspection of the strip material.
  • the grouping rules can be used to create a kind of map on the strip material which images the position of the end products to be produced later from the strip material on the strip material.
  • the user of the surface inspection system is therefore provided with a tool with which he can focus his attention on the areas of the strip material that are relevant for the future end product.
  • irrelevant areas such as marginal areas of the strip material, which are generally cut off and discarded, so before deciding whether a certain quality standard can be achieved, can be discarded. Mistakes in these areas, no matter how numerous and severe, may in this case be left aside in the decision-making process.
  • an end product in the sense of this invention represents an end product relative to the strip material, that is to say that an end product in the sense of this invention can also be an intermediate which is subjected to further processing steps.
  • the system will easily allow the possibility of checking whether other quality standards can be met. This is done, for example, by simply applying a different grouping rule.
  • a different grouping rule For example, after deciding that the steel strip does not meet the quality standard of a bonnet, for example, by applying the appropriate grouping rule, it could be checked whether one quality standard of another the end product to be produced in the strip material can be fulfilled. For example, it can be checked whether the steel strip is suitable for producing mudguards.
  • the processed data can be made available in a simple form to third parties.
  • the data can be made available to a purchaser or processor of the steel strips. It can thus check the quality level assignment by the steel manufacturer, but can also independently apply its own grouping rules to check whether the steel strip can be used with less scrap for another end product.
  • grouping rules can be done in a simple manner by programming formulas in individual cells of a spreadsheet, as is known from conventional spreadsheets.
  • grouping can mean, for example, that the sum of the errors in an area that can be assigned to specific spatial coordinates, such as a final product, is formed.
  • the comparison with quality standards to be met can be done by means of such formulas. For example, a formula "if the group comprises less than two type X errors and the surface roughness is less than a value Y" could result in a certain quality standard being assigned only if all relevant groups or a predeterminable proportion of the relevant groups do so Fulfill the formula. Also, a summary comparison of all anomalies in the groups with predetermined limits is possible.
  • the surface data comprise a surface roughness, flatness, a refining temperature and / or a thickness of the strip material.
  • the surface roughness and surface planarity have a decisive importance for the further processing of end products, in particular in the production of steel strips.
  • a finishing temperature for example, for steel strips to understand a annealing temperature that has an influence on the brittleness of the steel.
  • Such tempering temperatures can have a decisive influence on the subsequent further processing of the material and consequently also on the classification into quality standards.
  • inhomogeneities in these parameters can be taken into account in an advantageous manner.
  • further data about the nature of the tape and / or the surface may be included in the surface data according to the invention.
  • a data set of a surface anomaly comprises at least one anomaly type, anomaly size, and / or an anomaly severity.
  • a correlation in the sense of a grouping according to a) is understood to be any kind of mathematical correlation, ie any kind of mathematical operation in which a dependence between two quantities is generated.
  • spatially adjacent anomalies can be grouped together. For example, this allows the detection of production defects in the production of the strip material, through which adjacent surface anomalies or correlated, such as periodic surface defects occur. This can be done, for example, in the direction of movement of the Bandes be continuous scratches or periodic imprints of the rolling tools.
  • the grouping according to b) allows the aggregation of data sets that are relevant for compliance or overachievement of a certain quality standard.
  • the quality level designates a quality indication generally assigned to the strip material, while the quality standards of this strip material represent independent standards, for example set by the customers.
  • a quality standard I could represent the quality that must have the surface of a steel sheet in order to serve for the production of engine hoods can.
  • a quality standard II could represent the quality that the surface of a steel sheet must have in order to serve for the production of washing machine parts.
  • the quality level of a particular sheet may then simply be defined as not sufficient to meet quality standard I, but to meet quality standard II.
  • the grouping according to b) can represent both a pure spatial grouping in adaptation to the end products to be produced as well as a correlation of surface anomaly data with other parameters such as surface roughness and the like.
  • a grouping according to b) is not limited to these examples, but a grouping in adaptation to the quality standards just needed can be done in any possible way.
  • the grouping of records according to c), for example, allows the summary of surface anomalies in areas that generally represent rejects due to the production process of the strip material and / or the end product, e.g. B. edge or end portions of the tape.
  • Another example is the possibility described above of grouping regions on the strip surface which are assigned to the end product to be produced.
  • a grouping of records according to d) allows a summary of substantially the same or similar surface anomalies.
  • a grouping according to e) allows an estimation of defects in the production process of the strip material in which surface anomalies of a certain degree of anomaly are grouped in the manner of a map with contour lines.
  • regions of the strip material are taken into account which can be assigned to at least a partial area of the end product to be produced from the strip material.
  • the individual cells of the spreadsheet are adaptable to the geometric condition of the strip material and / or the position and / or spatial extent of the anomalies and / or the groups on the strip surface, at least with regard to position and size.
  • This function allows, for example, a substantially to scale reproduction of the strip material in the spreadsheet, in which the size ratios of the groups on the strip material substantially correspond to the size ratios of the individual cells with each other.
  • the assignment of the quality level takes place relative to predefinable quality criteria.
  • the quality level can be present as a list of all fulfilled quality standards.
  • the assignment of the quality level is absolute.
  • a simple case of an absolute assignment of the quality level is, for example, the specification of the number of anomalies that have occurred, optionally weighted with the anomaly severity and / or the range of occurrence on the surface of the strip material.
  • the assignment is based on a formula in the spreadsheet.
  • the formula may consist of a statement that states: "Assume grade I quality if the number of X type anomalies is less than Y, and if the tempering temperature in all groups is greater than Z.”
  • Other formulas, as are customary in common spreadsheets, are possible and according to the invention.
  • At least one data set or at least one group is at least partially represented in a cell of a spreadsheet.
  • in parts means that only parts of the data set or the group are displayed, in particular, the user can choose what he wants to be displayed by which record.
  • the number of surface anomalies registered in this group, the average annealing temperature, the average tape thickness and / or the average surface roughness, etc. of the group or data set can be respectively represented in single cells or in common.
  • the representation of only the number of anomalies of a certain Anomalienart the group or the data set is possible and according to the invention.
  • the representation or a corresponding filtering in the manner of a standard spreadsheet is possible.
  • the respective coordinates on the strip material or also any information to be adapted by the user can be used.
  • a plurality of spreadsheets with different representations of the surface data are formed.
  • the spreadsheets can be linked together.
  • a link for example, in the manner of a hyperlink in the Internet, be programmed between different tables, so that, for example, a cell is linked to a group of records with the location of a list of all individual records that the first record of the group or the first record corresponds to the group with a surface anomaly.
  • Any links between the tables are possible and according to the invention.
  • the amounts of data to be displayed can be considerably reduced if, for example, data that is present (eg the refining temperature) but not of importance for the final product to be produced from the strip material are not displayed.
  • data that is present eg the refining temperature
  • the data, not shown should be able to be made visible again at any time, in that the memory structure assigned to the cells contains the entire database and the links that have been made.
  • Outline here is the structure and the division of the spreadsheet to understand, so for example, the definition in which column which part of the data sets and / or groups is displayed, in which line what is shown, and so on
  • One or more spreadsheets can be configured, each representing data in a form that meets a particular problem. This can be customized by each user, just as it is possible in common spreadsheets.
  • representations can be linked to individual cells, which at least partially shows the data of the group linked to this cell or of the data set associated with this cell, in particular at least with a graphical representation of a corresponding surface anomaly.
  • the surface data are at least partially obtained from the signals of at least one transducer, preferably a camera, particularly preferably a CCD or CMOS camera.
  • a method for quality assessment of the surface of moving strip materials, in particular of metal or paper tapes is proposed, are prepared in the surface data by the inventive method for the preparation of surface data and on the basis of this data the strip material Quality level, which is preferred relative to one or more specifiable quality standards.
  • This method according to the invention makes it possible, on the basis of the data prepared as described above, to easily assign a quality level to the strip material already during production or even before further processing of the strip material, which is preferably oriented to predefinable quality standards.
  • the invention also allows a customer of tape material to group and evaluate the existing data in a variety of ways until he finds a way to compile data that is relevant to his needs. He can always make adjustments and improvements.
  • the relevant type of compilation found can then each automatically be used without reassessment by an inspector for the evaluation of further coils and / or given to the manufacturer of the strip material in order to automatically obtain the desired quality during the production there, or to sort out coils, which do not have this quality.
  • a method for quality management of strip materials in particular metal or paper tapes is proposed in which the quality of the strip material according to the quality assessment method according to the invention is assigned and based on this quality level, the strip material is fed to a certain quality level requiring processing step.
  • quality management is here to be understood as a complex, multi-dimensional process. This does not only include the assignment of a quality level to a particular coil material, although this forms the basis of further quality management. Rather, this term is an iterative Adjustment process over several bands taking into account a plurality of possible end products, possibly also to understand a plurality of possible end products from different manufacturers of different industries, each taking into account the respective industry and manufacturer-specific quality requirements and standards. Such a quality management is effectively possible for the first time using the method according to the invention for the preparation of surface data.
  • This quality management can be done on the one hand on the part of the manufacturer of the strip material, in which a list of the orders is carried out comprehensively to meet the quality standards to be met and the size and requirements of the final products to be produced and a multi-dimensional adaptation is carried out on the basis of the band material to be considered. In this case, a minimization of the Committee takes place while maximizing the maintainable quality standards, for example by maximizing the possible price to be achieved.
  • parameters of variation here are in particular parameters "outside" of the strip material, ie a different grouping depending on the finished product, as well as parameters "within” a strip material, so for example a shift of the grouping in the longitudinal direction, ie in the direction of movement of the strip material and / or across.
  • control means are preferably connected to a marking device, in particular for coloring, punching or Perforation of a band according to specifiable criteria and / or in places with special anomalies.
  • a marking device in particular for coloring, punching or Perforation of a band according to specifiable criteria and / or in places with special anomalies.
  • the device is at least suitable for carrying out at least one of the methods according to the invention.
  • the latter has at least one transducer, preferably a camera, particularly preferably a CCD or CMOS camera, which records surface data, wherein the transducer is connected to the evaluation unit via data connections and transmits the surface data to the evaluation unit.
  • a transducer preferably a camera, particularly preferably a CCD or CMOS camera, which records surface data, wherein the transducer is connected to the evaluation unit via data connections and transmits the surface data to the evaluation unit.
  • evaluation means are formed, which determine surface anomalies on the surface of the strip material based on the surface data.
  • Fig. 1 schematically shows a section of a strip material 1, for example, a section of a steel strip 1. It is intended to produce 1 car doors 2 from this steel strip.
  • An outline of a car door 2 to be produced is indicated by way of example on the steel strip 1, which is the area of the steel strip 1 assigned to the car door 2 to be produced, that is to say when viewing the steel strip 1 during production of the strip or before production of the strip
  • Car door 2 is in this case initially a purely virtual assignment, in which in particular no physical marking of the steel strip 1 takes place.
  • the car door 2 has a door area 3 and a window area 4
  • Each data set thus represents the surface texture of a surface unit at a position given by the corresponding coordinates on the tape surface.
  • these data sets comprise the Data from surface anomalies, ie deviations of the actual state of the surface of the steel strip 1 from the desired target state of the surface.
  • this problem is solved by grouping the data records on the basis of predefinable grouping rules.
  • a grouping of the data records that form the door area 3 and a further grouping of the data sets that form the window area 4 can take place.
  • the data sets which form the door area 3 can be combined in a single group, but it is also possible to form a plurality of groups which each form approximately rectangular subregions of the door area 3.
  • the data grouped in this way is provided as part of at least one spreadsheet.
  • Such a spreadsheet is exemplary in Fig. 2 shown.
  • Fig. 2 shows a section of a spreadsheet 9, which in a conventional manner in columns 10 and 11 lines forming cells 12 is divided, which are shown for the sake of clarity only by way of example.
  • the surface data of a steel strip 1 are shown, which has been divided into several groups.
  • each cell 12 comprises a group of surface data.
  • the size and location of the cells corresponds to the location and extent of the corresponding groups of surface data, as shown by a comparison with the corresponding section of the steel strip 1, which is shown in FIG Fig. 3 is shown.
  • Fig. 3 schematically shows a section of a steel strip 1. This has first product areas 13 and second product areas 14 which will form the surface of end products to be produced from the steel strip 1. Furthermore, there are third product areas 15, which will belong to the surface of the end product after the production of the end products. In addition, intermediate regions 16 are formed which lie between product regions 13, 14, 15 which will not contribute to the end product, and edge regions 8 which, together with the intermediate regions 16, form the scrap of steel which does not amount to the end product to be produced.
  • first groups of surface data adapted to the first product area 13 have been formed. That is, the first groups of surface data include only datasets that can be spatially assigned to the coordinates of the first product region 13.
  • second groups of surface data are formed, which can be assigned to the spatial coordinates of the second product area 14, and third groups, spatially the third product areas 15 can be assigned.
  • intermediate groups and edge groups are formed, which can be spatially assigned to the intermediate regions 16 and the edge regions 8.
  • each group is represented in a separate cell.
  • the first group is shown in each case in a first cell 17, the second group in a second cell 18 and the third group in a third cell 19.
  • the intermediate areas 16 correspond to intermediate cells 20, the edge areas 8 edge cells 21.
  • the spreadsheet 9 is divided according to the division into product areas 13, 14, 15 of the steel strip 1.
  • the cells 17, 18, 19, 20, 21 in this illustration contain the number of surface anomalies in the respective region 13, 14, 15, 16, 8 of the steel strip 1.
  • the cells 17, 18, 19, 20, 21 of the spreadsheet 9 are colored with different background color, indicating the relevance of the errors contained in the cells 17, 18, 19, 20, 21 for the assignment of a quality level of the steel strip 1.
  • Quality level is understood to mean compliance with certain quality standards required for the production of the final product.
  • the relevance for the quality level determination is determined by predefinable criteria, which can be given in the form of a formula in the spreadsheet as exemplified above. For example, despite the relatively high number of thirty-two surface anomalies in the first cell 17, the relevance of these errors to the final product to be produced is low.
  • FIG. 12 shows a first embodiment of a spreadsheet-like view with a first spreadsheet 22, a second spreadsheet 23, a third spreadsheet 24, a fourth spreadsheet 25, and a fifth spreadsheet 26.
  • the first spreadsheet 22 contains a list of all band materials present, each one different Parameters of each strip material such as an identification number, a start time of production, the length, width, thickness and weight of the strip material is listed in individual cells. Other parameters are the steel grade, as well as the intended use, the roughness and the customer of the strip material. Additional parameters can be easily and quickly supplemented in the manner of a spreadsheet by adding rows and / or columns.
  • the second 23, third 24, fourth 25 and fifth 26 spreadsheets each contain geometric views of the strip material currently selected in the first spreadsheet 22 with the corresponding groupings.
  • the relevance of the detected surface anomalies is for another quality standard to be maintained
  • the entire relevance is summarized in the summary cells 27.
  • the number of relevant errors can be read on the basis of the cell content and, on the other hand, on the basis of the staining of the cell, the overall relevance for compliance with the respective quality standard.
  • the use corresponding to the third spreadsheet 24 would be the most critical, while the use corresponding to the second 23 and fifth spreadsheets 26 would be less critical.
  • an optimization of the achievable revenue can be achieved in this way.
  • Fig. 5 show a second embodiment of a spreadsheet view with a first spreadsheet 22, a second spreadsheet 23, a third spreadsheet 24, a fourth spreadsheet 25, a fifth spreadsheet 26, a sixth spreadsheet 28 and a seventh spreadsheet.
  • the first spreadsheet 22 contains a list of all available strip materials with parameters such as an identification number of the inspection record, the production line on which the strip material is produced, the starting time of the production, the duration of the production, the length of the strip material, the cold strip from which the steel strip was made, the roughness of the material, the thickness, width, weight, etc.
  • the third spreadsheet 24, the fourth spreadsheet 25, and the fifth spreadsheet 26 contain representations adapted to the geometric relationships of the strip material ,
  • the rows each represent data at a particular longitudinal coordinate, ie in the direction of movement of the strip material, while the columns indicate the transverse coordinate of the strip material.
  • the number of surface anomalies per group of data sets assigned to each cell is indicated, while in the fourth spreadsheet 25 the deviation of the flatness of each group from the mean flatness is indicated.
  • the fifth spreadsheet 26 is the deviation of the refining temperature each group is represented by an average refining temperature.
  • the sixth spreadsheet 28 presents the summary of the parameters relevant to quality, namely the number of defects, ie the surface anomalies that would prevent classification into a quality standard, as well as the mean flatness of the strip material, the refining temperature, the average width and the quality level resulting therefrom.
  • the deviation from the mean width of the strip material is shown dissolved for the longitudinal coordinate of the strip material.
  • the second spreadsheet 23 contains individual representations of surface anomalies.
  • the spreadsheets 22, 23, 24, 25, 26, 28, 29 are interlinked so that, for example, clicking the computer's mouse into one of the cells of the spreadsheets 24, 25, 26 will display the corresponding mappings of the anomalies in that cell Spreadsheets 24, 25, 26 in the second spreadsheet 23 indicates.
  • a click in another column of the first spreadsheet 22 results in the corresponding data of this now selected strip material being displayed in the other spreadsheets 23, 24, 25, 26, 28, 29, and so on.
  • any spreadsheets with different representations, filtering and / or grouping can be combined with each other. This is done in a simple manner in the manner of a spreadsheet, which can also perform essentially untrained users. The assignment of the quality level thus becomes reproducible and more transparent for third parties.
  • Fig. 6 shows an embodiment of an inventive device 30 for controlling the processing of strip materials 1 with an evaluation unit 31.
  • This comprises at least memory means 32, grouping means 33 and comparison means 34.
  • the evaluation unit 31 in the present example comprises evaluation means 35, which are optional.
  • To connect the individual components 32, 33, 34, 35 are data connections 36 trained. These can advantageously represent an addressable bus system, so that via a common data connection 36 all connected components 32, 33, 34, 35, as well as other connected components can be addressed individually addressed.
  • the data connections can be formed both as a wire or at least partially wireless.
  • Data can be stored in the storage means 32, namely at least surface data and / or quality standard data that can be assigned to an end product to be produced from the strip material 1.
  • the surface data are in the form of datasets that can be assigned to coordinates of the strip surface, each of which includes surface data, in particular a surface roughness, flatness, a refining temperature and / or a thickness of the strip material 1 and possibly the data of at least one surface anomaly present.
  • the storage of further data is possible and according to the invention.
  • the grouping means 33 serve the grouping of surface data on the basis of specifiable grouping rules. Based on the comparison means 34, the surface data is compared with at least one predefinable quality standard.
  • the result of the grouping in the grouping means 33 and the comparison in the comparison means 34 can be transmitted via the data connection 36 to other components connected to it.
  • the result of the comparison as well as the grouped surface data can be transferred to the storage means 32 and stored in these.
  • input means 37 and output means 38 are formed, by means of which commands can be input and at least the surface data can be output, input and output of at least one spreadsheet being made.
  • the input and output means 38 are likewise connected to the data connection 36, so that the data stored in the storage means 32 as well as the data output by the grouping means 33 and comparison means 34 can be used for input and output.
  • Input means 37 may advantageously be formed a keyboard and / or a computer mouse or the like, as output means 38 in an advantageous manner, in particular a monitor.
  • the input means 37 can also advantageously be used to enter and / or specify the grouping rules and / or the quality standards and / or the comparison rules for comparing the groups with at least one quality standard.
  • the device 30 has control means 39 which, depending on the comparative data supplied by the comparison means 34 trigger a certain processing of the strip material 1 to produce a final product or discard the strip material 1 - for example, as unusable. Alternatively or additionally, an intervention by a user can take place here.
  • a specific processing process is to be understood as meaning, in particular, the feeding of the strip material for the production of a specific end product.
  • the control means may supply the strip material to production of a first end product (eg fender) or production of a second end product (eg hood).
  • the implementation of the supply to a specific processing process can be carried out by an optional control output 43, in which the control commands of the control means 39 are passed on to appropriate apparatuses.
  • the surface data can be stored in the storage means 32 or stored there by a data carrier which serves, for example, as accompanying material for the strip material 1.
  • a data carrier which serves, for example, as accompanying material for the strip material 1.
  • the direct connection of the evaluation unit to a transducer 40 via the data link 36 is possible and according to the invention.
  • the optical transducer 40 preferably a camera, particularly preferably a CCD or CMOS camera, surface data of a surface 41 of a strip material 1, which optionally moves in a movement direction 42, can be recorded.
  • the discovery of anomalies can be done by the evaluation means 35.
  • the device shown here may be implemented at least in part in an integrated circuit and / or a computer.
  • the device shown here is preferably suitable for carrying out the method according to the invention.

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Claims (25)

  1. Procédé de traitement de données d'une matière en bande (1), en particulier de bandes de métal et/ou de papier, les données se présentant sous la forme d'ensembles de données pouvant être associés à la surface de la bande selon les coordonnées, et comportant des informations sur l'état de la bande et/ou de sa surface et/ou d'une anomalie (5, 6, 7) éventuellement existante,
    au moins une partie des ensembles de données étant regroupée et mémorisée, selon des règles de regroupement prédéterminées, en cellules (12, 17, 18, 19, 21, 29) dont la disposition géométrique sur un écran ou un support de visualisation présente une similitude topologique avec une surface de la bande, le contenu des cellules étant disponible pour un traitement électronique ultérieur et/ou une combinaison avec d'autres cellules ou d'autres données, en particulier le contenu d'une cellule non seulement pouvant être unidimensionnel, mais contenant des données source, des règles de regroupement et/ou des formules de traitement et pouvant être disponibles, un ensemble de données d'une anomalie (5, 6, 7) comportant au moins un type d'anomalie, un paramètre d'anomalie et/ou une épaisseur d'anomalie, caractérisé en ce que les regroupement suivants sont effectués selon les règles de regroupement :
    - regroupement d'ensembles de données qui correspondent à des anomalies (5, 6, 7) spatialement adjacentes et/ou corrélées,
    - regroupement d'ensembles de données qui comportent des anomalies (5, 6, 7) qui permettent seuls ou en combinaison avec d'autres anomalies (5, 6, 7) et/ou d'autres données, en particulier la rugosité ou la planéité de surface, l'attribution d'un niveau de qualité par rapport à au moins une norme de qualité, notamment celle du produit final (2) qui doit être fabriqué à partir de la matière en bande (1).
  2. Procédé selon la revendication 1, caractérisé en ce que les données sont mémorisées et disponibles sous la forme d'au moins une feuille de tableur (22, 23, 24, 25, 26, 28, 29) qui comprend une pluralité de cellules (12, 17, 18, 19, 29, 21) disposées en lignes (11) et en colonnes (10).
  3. Procédé selon la revendication 1 ou 2, caractérisé en ce que les données comportent de données de matière, des données de couleur, des valeurs de rugosité de surface, des valeurs de planéité de surface, une température de transformation et/ou des valeurs d'épaisseur de la matière en bande (1).
  4. Procédé selon l'une des revendications précédentes, caractérisé en ce qu'au moins un des regroupements suivants est effectué selon les règles de regroupement :
    a) regroupement d'ensembles de données qui peuvent être associés spatialement à des zones prédéterminées (13, 14, 15, 16, 8) de la matière en bande (1) ;
    b) regroupement d'ensembles de données qui correspondent à des anomalies similaires (5, 6, 7) ;
    c) regroupement d'ensembles de données qui correspondent à des anomalies de surface (5, 6, 7) ayant une épaisseur d'anomalie qui est située dans une gamme de valeurs prédéterminées de l'épaisseur d'anomalie.
  5. Procédé selon la revendication 4, caractérisé en ce que, dans un regroupement selon b) et/ou c) des zones (13, 14, 15, 16, 8) de la matière en bande (1) sont prises en compte qui peuvent être attribuées au moins à une zone partielle (13, 14, 15, 16, 8) de la matière en bande (1) du produit final (2) qui doit être fabriqué à partir de la matière en bande (1).
  6. Procédé selon l'une quelconque des revendications 5 ou 6, caractérisé en ce que, pour un regroupement selon b), l'état géométrique de la matière en bande (1) est formé en particulier par rapport à des zones de déchets dues au procédé de production de la matière en bande (1).
  7. Procédé selon l'une des revendications précédentes, caractérisé en ce que les cellules individuelles (12, 17, 18, 19, 20, 21) de la feuille de tableur (22, 23, 24, 25, 26, 28, 29) sont adaptables au moins par rapport à la position et au paramètre de l'état géométrique de la matière en bande (1) et/ou de la position et/ou l'étendue spatiale des anomalies (5, 6, 7) et/ou des groupements sur la surface de la bande.
  8. Procédé selon les revendications I à 7, caractérisé en ce que les cellules individuelles (12, 17, 18, 19, 29, 21) sont adaptables par rapport à au moins une des paramètres suivants :
    A) couleur de l'arrière-plan ;
    B) couleur du contenu de la cellule ;
    C) hachure de la cellule ;
    D) la police du contenu de la cellule ;
    E) accentuation des caractères du contenu des cellules ; ou
    F) taille des caractères du contenu cellulaire
    de sorte que ces paramètres A) à F) représentent la pertinence pour l'attribution du niveau de qualité du produit final (2) qui doit être fabriqué à partir de la matière en bande (I).
  9. Procédé selon l'une des revendications I à 8, caractérisé en ce que l'attribution du niveau de qualité est effectuée par rapport à des critères de qualité prédéterminables.
  10. Procédé selon l'une des revendications 1 à 8, caractérisé en ce que l'attribution du niveau de qualité est effectuée de façon absolue.
  11. Procédé selon la revendication 9 ou 10, caractérisé en ce que l'attribution est effectuée sur la base d'une formule dans le tableur.
  12. Procédé selon l'une des revendications précédentes, caractérisé en ce qu'au moins un ensemble de données ou au moins un regroupement est au moins partiellement représenté dans une cellule (12, 17, 18, 19, 20, 21) d'une feuille de tableur (22, 23, 24, 25, 26, 28, 29).
  13. Procédé selon l'une des revendications précédentes, caractérisé en ce qu'une pluralité de feuilles de tableur (22, 23, 24, 25, 26, 28, 29) sont formées avec des représentations différentes des données de surface.
  14. Procédé selon la revendication 13, caractérisé en ce que les feuilles de tableur (22, 23, 24, 25, 26, 28, 29) peuvent être combinées entre elles.
  15. Procédé selon l'une des revendications précédentes, caractérisé en ce que l'on peut prédéterminer quelles parties des données d'un groupe ou d'un ensemble de données peuvent être représentées dans une feuille de tableur (22, 23, 24, 25, 26, 28, 29).
  16. Procédé selon l'une des revendications précédentes, caractérisé en ce que l'on peut prédéterminer dans lequel regroupement les données d'un groupe ou d'un ensemble de données peuvent être représentées.
  17. Procédé selon l'une des revendications précédentes, caractérisé en ce que l'on peut combiner à chaque cellule (12, 17, 18, 19, 20, 21) des représentations qui indiquent au moins partiellement les données du groupe combiné à cette cellule (12, 17, 18, 19, 20, 21) ou de l'ensemble de données combiné à cette cellule (12, 17, 18, 19, 20, 21), en particulier au moins avec une représentation graphique d'une anomalie surface (5, 6, 7) correspondante.
  18. Procédé selon l'une des revendications précédentes, caractérisé en ce que les données de surface sont obtenues au moins partiellement à partir des signaux d'au moins un capter de valeur de mesure, de préférence une caméra, de façon particulièrement préférée une caméra CCD.
  19. Procédé d'évaluation de la qualité de la surface de matières en bande (1) en mouvement, en particulier de bandes de métal ou de papier, dans lequel des données de surface sont traitées conformément au procédé selon l'une des revendications 1 à 18 et un niveau de qualité, qui se rapporte de préférence à une ou plusieurs normes de qualité prédéterminables, est attribué à la matière en bande (1) sur la base de ces données.
  20. Procédé de gestion de la qualité des matières en bande (1), en particulier de bandes de métal ou de papier, caractérisé en ce qu'un niveau de qualité est attribué à la matière en bande (1) conformément au procédé de la revendication 19 et, sur la base de ce niveau de qualité, la matière en bande (1) est amenée à une étape de traitement nécessitant un certain niveau de qualité.
  21. Procédé de gestion de la qualité de matière en bande (1), en particulier de bande de métal ou de papier, caractérisé en ce que les données de surface sont traitées conformément au procédé selon l'une des revendications I à 18 et, sur la base de ces données de surface, le procédé de fabrication et/ou de traitement de la matière en bande (1) est conçu de façon à réduire au minimum les déchets produits lors de la fabrication d'un produit final (2) à partir de la matière en bande (1).
  22. Dispositif (30) de commande du traitement de matières en bande (1), en particulier de bandes de métal ou de papier, qui comprend
    une unité d'évaluation (31) qui comporte au moins
    a) des moyens de mémorisation (32) destinés à mémoriser des données de surface pouvant être associées à la surface (41) de la bande selon les coordonnées et/ou des données de norme de qualité pouvant être associées à un produit final (2) à fabriquer,
    b) des moyens de regroupement (33) destinés à regrouper les données de surface en fonction de règles de regroupement prédéterminables, un groupe comportant au moins un ensemble de données des données de surface, et
    c) des moyens de comparaison (34) destinés à comparer des groupes de données de surface avec au moins une norme de qualité prédéterminable,
    des moyens d'entrée (37) et des moyens de sortie (38) qui servent à entrer des instructions et au moins délivrer des données de surface à partir de l'unité d'évaluation (31) et qui sont reliés à l'unité d'évaluation (31) par des liaisons de données (36) correspondantes,
    des moyens de commande (39) qui sont reliés par des liaisons de données (36) au moins à l'unité d'évaluation (31), aux moyens d'entrée (37) et/ou aux moyens de sortie (38), lesdits moyens d'entrée (37) et les moyens de sortie (38) coopérant de façon à effectuer l'affichage et le traitement des données de surface et l'entrée correspondante des règles de regroupement et/ou des règles de comparaison pour comparer les groupes avec au moins une norme de qualité sous la forme d'au moins une feuille de tableur (22, 23, 24, 25, 26, 28, 29),
    les moyens de commande (39) déclenchant un procédé de traitement spécifique de la matière en bande (1) pour la fabrication d'un produit final (2) ou le rejet de la matière en bande (1) sur la base des données de comparaison délivrées par les moyens de comparaison (34) et/ou d'une entrée d'un utilisateur, caractérisé en ce que le dispositif est approprié et destiné à mettre en oeuvre le procédé selon l'une des revendications 1 à 21.
  23. Dispositif selon la revendication 22, caractérisé en ce que les moyens de commande (39) sont reliés à un dispositif de repérage (44), en particulier par coloration ou perçage d'une matière en bande (1) selon des critères prédéterminables et/ou à des emplacements d'anomalies particulières.
  24. Disposition selon la revendication 22 ou 23, caractérisé en ce que le dispositif comprend au moins un capteur de valeurs de mesure (40), de préférence une caméra, de façon particulièrement préférée une caméra CCD ou CMOS, qui enregistre des données de surface, le capteur de valeurs de mesure (40) étant relié à l'unité d'évaluation (31) par des liaisons de données (36) et transmettent les données de surface à l'unité d'évaluation (31).
  25. Dispositif selon la revendication 24, caractérisé en ce que des moyens d'évaluation (35) sont configurés pour détecter des anomalies de surface (5, 6, 7) sur la surface (41) de la matière en bande (1) sur la base des données de surface.
EP05715548.3A 2004-03-04 2005-02-25 Procede de preparation de donnees de surface, procede et dispositif d'evaluation de qualite et de gestion de qualite d'un materiau en bande Active EP1737587B1 (fr)

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DE200410010479 DE102004010479A1 (de) 2004-03-04 2004-03-04 Verfahren zur Aufbereitung von Oberflächendaten, Verfahren und Vorrichtung zur Qualitätsbewertung und zum Qualitätsmanagement von Bandmaterial
DE200410022607 DE102004022607A1 (de) 2004-05-07 2004-05-07 Verfahren zur Aufbereitung von Oberflächendaten, Verfahren und Vorrichtung zur Qualitätsbewertung und zum Qualitätsmanagement von Bandmaterial
PCT/EP2005/002007 WO2005084844A1 (fr) 2004-03-04 2005-02-25 Procede de preparation de donnees de surface, procede et dispositif d'evaluation de qualite et de gestion de qualite d'un materiau en bande

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DE102016124522A1 (de) 2016-12-15 2018-06-21 Thyssenkrupp Ag Verfahren zur Inspektion eines Stahlbands

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WO2009038196A1 (fr) * 2007-09-21 2009-03-26 Osaka Prefecture University Public Corporation Procédé d'allocation de matériau préfabriqué, programme d'ordinateur pour le procédé d'allocation de matériau préfabriqué et support d'enregistrement lisible par un ordinateur
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DE102016124522A1 (de) 2016-12-15 2018-06-21 Thyssenkrupp Ag Verfahren zur Inspektion eines Stahlbands

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