Method for controlling a machining process

Abstract

Method for controlling a machining process, in particular a forming process, of blanks, wherein at least one semi-finished product property of at least one blank is detected and unique identification information is assigned to the blank, in particular is applied to the blank, wherein based on the at least one detected semi-finished product property an anomaly of the blank, in particular related to a target value and / or a target range and / or a coil providing the blank to a singulation process, is determined and the blank is identified in the machining process on the basis of the unique identification information and the machining process of the blank is controlled depending on the determined anomaly.

Description

[0001] The invention relates to a method for controlling a machining process, in particular a forming process, of blanks, wherein at least one semi-finished product property of at least one blank is detected and unique identification information is assigned to the blank, in particular is applied to the blank.

[0002] Methods for controlling machining processes, such as forming processes in which blanks are formed, for example, separated or formed, in particular drawn, into a desired geometry, are generally known from the prior art. In this process, a set of process parameters is usually set by an operator or user of a machining device to be used for machining the blanks.

[0003] Furthermore, it is known from the prior art that deviations in the semi-finished blank properties via the coil can lead to blanks with semi-finished blank properties that deviate from the target value of the semi-finished blank properties behaving differently during the processing process. It is known to record the semi-finished blank properties using suitable sensors and to provide the blanks with unique identification information, for example, to ensure traceability within the framework of quality management.

[0004] However, between the separation of the blanks from their coil and the actual processing, there are usually various process steps for sorting, intermediate storage, and the like. This means that a specific blank can, for example, be temporarily stored in a processing device between separation from the coil and the actual processing. When the blank is finally fed into the processing process, the effects of deviations in the semi-finished product properties on the processing process that go beyond the usual fluctuations in the semi-finished product properties can usually only be detected after the processing process has been completed.For example, if a deviation in a semi-finished blank property results in the processed blank not meeting specified quality requirements, this typically prompts the operator to make changes to the process parameters to counteract the sudden deviation in the machining process. Therefore, the process parameter adjustment, which involves downtime for the system, is usually performed by the system operator based on experience. Depending on how long it takes to find a suitable combination of process parameters, considerable costs can arise from the production downtime and the resulting scrap.

[0005] This typically also leads to further scrap, as the actual required change in the process parameter in response to the process change caused by the deviation in the blank's semi-finished product properties must first be determined. If the deviation in the semi-finished product properties represents only a "local anomaly," i.e., only one blank or a comparatively small group of blanks is affected by the anomaly, a regular blank, i.e., a blank that does not exhibit any deviations, may already be next in line after the sequence of anomalous blanks before the adjustment of the process parameters in response to the process change is completed.This, in turn, can lead to the originally controlled process for regular blanks being faulty due to the change in process parameters, so that the operator can change the process parameters again, possibly in the wrong direction. This leads to increased scrap and downtime for the processing equipment while the process parameters are adjusted.

[0006] The invention is based on the object of providing an improved method for controlling a machining process for circuit boards.

[0007] The object is achieved by a method according to claim 1. The dependent claims relate to possible embodiments.

[0008] As described, the invention relates to a method for controlling a machining process, for example, a forming process, such as deep drawing. In the method, at least one semi-finished product property of at least one blank is detected, for example, before or after the blank is or has been separated from the associated coil. Semi-finished product properties can, in principle, be understood as any geometric, physical, chemical, or mechanical properties of the blank. For example, semi-finished product properties can be understood as tribological properties, elasto-plastic properties, a lubricant quantity, a material, and the like.

[0009] Furthermore, the board is assigned unique identification information, such as a serial number, ID number, or UUID. This identification information allows the board to be traced. In other words, the identification information makes it possible to identify the board as an individual and, for example, determine which coil the board originates from, what material it is made of, which manufacturer it was sourced from, and the semi-finished product properties of the board.

[0010] The invention is based on the finding that, based on the at least one detected semi-finished product property, an anomaly of the blank is determined, in particular related to a target value and / or a target range and / or a coil providing the blank for a singulation process, and the blank is identified in the processing process using the unique identification information, and the processing process of the blank is controlled depending on the determined anomaly. Advantageously, it is therefore already possible to determine whether the blank has an anomaly when the semi-finished product properties are detected. The anomaly can, for example, be related to target values ​​and / or target ranges of the coil or coil. It is also possible for the semi-finished product properties of the blank to be related to the blanks adjacent to the coil in the strip direction.This makes it possible to determine whether there is an anomaly that affects individual boards and could potentially have a negative impact on the machining process.

[0011] For the purposes of this application, a target value is understood to mean, in particular, a value of a semi-finished product property that a blank exhibits without significant deviation. The target range can specify the value range of the semi-finished product properties that encompasses regular fluctuations in the semi-finished product properties. This means that a local anomaly exists if the corresponding semi-finished product property deviates from the corresponding target value by more than a normal fluctuation or leaves the value range defined by the target range.

[0012] The target range can particularly take into account the scatter of the values ​​of the semi-finished product properties, specifically related to a standard deviation, a mean value or a variance of the semi-finished product properties of the blanks. The target range can alternatively be defined absolutely. The target range can deviate from specification limits or be set based on them, whereby the target range and specification limits can be the same or different. In particular, the target range can be selected to be wider than the specification limits. The target value and / or the target range can be set or changed throughout operation. By defining, setting or adjusting the target value and / or target range, it can be determined how sensitively the process reacts to deviations in the semi-finished product properties, in particular at what point a local anomaly is detected.In other words, each semi-finished product property can be compared with its target range to determine whether the semi-finished product property deviates locally significantly from the average semi-finished product property of all blanks, in particular by more than a process-typical fluctuation.

[0013] Based on the specific anomaly for the board, which, as described, can be identified using the unique identification information, the board's processing process can be controlled depending on the specific anomaly. In other words, the link to the anomaly can be established as soon as the board is fed into the processing process. This allows, for example, an operator of the system or processing device to receive feedback that the upcoming board or the board currently being processed has an anomaly.If the machined blank subsequently does not meet the set boundary conditions, for example a required quality, the operator is not required to change the machining process by changing the process parameters of the machining device, since it is already known that the failure to meet the quality requirements is not due to the machining process, but to the anomaly.

[0014] In other words, knowing that the blank represents an anomaly means the processing process for the regular blanks can remain untouched. This allows, in particular, that even though the blank exhibiting the anomaly still delivers an unsatisfactory processing result, the remaining processing process for regular blanks can be maintained. Therefore, the processing process is not unnecessarily changed for a small number of blanks exhibiting the anomaly, which would subsequently require the processing process for the regular blanks to be adjusted, generating scrap. Instead, knowing about the specific anomaly means that the fact that the blanks exhibiting the anomaly may not be processed with optimal process parameters is accepted, but the processing process can subsequently continue as configured.This advantageously prevents downtime of the processing device and reduces the amount of waste produced.

[0015] As described, the machining process can basically comprise any processing of the blank, for example cutting, forming, and the like. In particular, the blanks are machined to produce body components or intermediate products for body components. The production of body components in press shops, for example, is divided into several process steps. First, blanks are cut from a coil on a blank cutting machine. In this context, a coil is a spool or roll made from a wound strip. This winding is used to transport the material cost-effectively. Based on the identification information, traceable stacks of blanks are created, which are temporarily stored in the press line prior to processing. In the press line, a flat sheet or the cut blank is usually deep drawn.This is followed by further process steps such as trimming or reshaping.

[0016] The blanks processed in press shops, such as thin sheets or semi-finished products, exhibit fluctuations in their semi-finished product properties. For example, sheet thickness, tribological properties such as the amount of lubricant, roughness, and elastoplastic material properties fluctuate. Depending on the extent of these fluctuations, it is necessary to adjust the processing parameters to achieve the required quality of the produced components.

[0017] For example, process parameters include the die cushion forces, the adjustment of the drawing aids, the determination of the position of the guides, the kinematics of the ram movement, and the application of additional lubricant. Furthermore, the setting of the straightening device on the coil line can also be adjusted via process parameters. The term process parameters can encompass all parameters that can be changed on tools, transport systems, and presses to influence the quality of the manufactured components.

[0018] Semi-finished product properties, indirect and direct data on component quality and the associated intermediate products, as well as the process parameters of the coil system and press line, can be recorded and assigned to a blank and a component. This assignment is made using identification information, such as a serial number, which is applied to the surface of the material during blank cutting. This data is stored in a database. The aforementioned data is available for each blank and / or each individual component produced. In principle, it is also possible to record the semi-finished product properties of the blanks and apply identification information immediately before processing in the press line.

[0019] In a further development of the method, it can be provided that at least one local anomaly is determined for at least two blanks and / or a group of blanks that are or were adjacent in a coil providing the blanks. As described, it is possible that at least one blank deviates from the target properties of the other blanks with regard to its semi-finished product properties. In the present embodiment, a local anomaly is to be detected or determined that affects at least two blanks that are adjacent to one another on the coil or strip. This can also result in a comparatively small group of blanks, for example 10 blanks that are adjacent in the strip and whose semi-finished product properties exhibit the aforementioned deviation. This creates a "local anomaly" with regard to the entire strip, which can be determined in order to control the blank processing process.

[0020] The semi-finished product properties of at least one blank can, for example, be understood as a field variable. An example of this would be the amount of lubricant applied by the supplier. This field does not necessarily have to be homogeneous. It is possible that the value of a field variable differs significantly from the values ​​of the remaining coil or strip locally, i.e. viewed at least on an individual blank or a comparatively small group in relation to the total number of blanks. If such a case occurs, it can happen that after the blanks have been cut, a few individual blanks have significantly different semi-finished product properties than the other blanks cut from this coil or strip. This is also referred to below as a local anomaly. The term "local" refers to the strip or coil / spool from which the blanks are cut.

[0021] For example, if ten boards stacked one above the other exhibit such a local anomaly, a quality issue may arise during the processing of these boards in the processing device with the corresponding boards exhibiting the aforementioned local anomaly on the original line. If this local anomaly is unknown, there is a risk that the system will stop processing the first of these boards. Subsequently, changes to the process parameters are made to enable the processing of subsequent boards.

[0022] In the worst case scenario, if a local anomaly occurs, it may not be possible to select the right process parameters to produce components that meet the quality requirements. Finding suitable process parameters can be time-consuming and therefore costly. For example, if a suitable setting is found after testing the eighth board, a quality problem may arise during processing of the eleventh board because this is again a normal board that does not exhibit a local anomaly. It may therefore be necessary to search for suitable process parameters again, which could lead to another plant downtime and thus high costs. Since, as suggested, the local anomaly is identified and thus known, it is possible to react accordingly and control the machining process.

[0023] For example, the local anomaly can be limited to those blanks that actually exhibit the local anomaly, so that the plant operator can be directly informed that the anomaly is locally limited to a small number of blanks and that there is therefore no “permanent” deviation that needs to be compensated for by changing the process parameters. For example, it is possible to determine which strip meters of the coil are affected by the local anomaly. Likewise, the location of the local anomaly can be related to the coil, for example to a start, a middle, an end, a weld point in the strip, and the like. Advantageously, it is thus identified that a deviation in a blank ortwo boards or a group of boards is merely a local deviation, which may not require a change in the machining process, in particular the process parameters.

[0024] As described above, the at least one semi-finished product property is recorded for the at least one blank. This can be done, for example, during separation from the coil or, for example, before feeding into the processing device. Specifically, it can be provided that the at least one semi-finished product property, in particular a set of semi-finished product properties, is recorded by means of a recording device, and the at least one semi-finished product property is linked to the at least one blank using data technology based on the identification information.

[0025] For example, an algorithm can be used that receives the recorded semi-finished product property. The algorithm reads the semi-finished product properties recorded during cutting or during feeding of the blanks to the processing device, such as the amount of lubricant. The algorithm then identifies local anomalies and saves the analysis results, for example, in a table. This table contains the identification information of the blank or the respective coil and the location of the local anomaly or several local anomalies. The anomaly or local anomalies can be stored, in particular, in a data storage device. When a blank is fed to the processing device, its unique identification information is read out.In addition to the unique identification information, it can then be determined whether the semi-finished product properties are within a target range or whether a (local) anomaly exists. The machining process can be controlled accordingly. In particular, it is possible to distinguish whether an anomaly exists or whether, for example, the semi-finished product properties are changing across the entire coil, necessitating a change in the process parameters.

[0026] As described, the identification information can be used to uniquely identify the circuit board. The identification information can, in particular, include the following information: - a tape position of the board on the reel; and / or - an identifying feature of the circuit board; and / or - an identifying feature of the coil; and / or - manufacturer information of the circuit board and / or coil; and / or - a position of a board in a board stack; and / or - at least one target semi-finished product property of the board.

[0027] According to a further embodiment of the method, it can be provided that upon identification of a blank for which an anomaly has been determined, warning information is output during the processing process and / or after the blank processing process, at least one piece of quality information about the blank is determined, in particular based on at least one quality control intensity. The embodiment thus proposes that, for a blank for which an anomaly has been determined, warning information can be output, in particular to the operator of the processing device. When the blank is fed to the processing device, the identification information is read in. Since the identification information is data-linked to the semi-finished product properties or the determined anomaly, it can be determined directly whether an anomaly has been determined for the blank or whether it has an anomaly.For example, the operator of the processing device can be given a visual, acoustic or other signal indicating that a board with an anomaly is currently being processed.

[0028] Additionally or alternatively, the embodiment proposes that quality information about the board is determined. This can be done, in particular, based on a quality control intensity. For example, if it is known that the board currently being processed has an anomaly, quality assurance can be increased. This adjustment of quality assurance can be determined by the quality control intensity. In particular, boards for which an anomaly has been identified can be subjected to increased quality control, in particular an individual inspection or a 100% inspection. While it is generally possible to remove boards for which an anomaly has been identified from the process, it may be more cost-effective to subject them to a quality control inspection at least once and to determine whether specified quality requirements are met despite the identified anomaly.This can be determined, for example, by the quality control intensity, which can indicate how intensively the quality control should be carried out.

[0029] In particular, the severity of the anomaly can be specified in the form of one or more anomaly indicators. The anomaly indicator therefore characterizes the anomaly of the board. The anomaly indicator could, for example, be the size of the local anomaly or the relative difference between the normal range and the local anomaly. It is also conceivable to store absolute values ​​of the local anomaly. For example, the mean value of the size within the local anomaly and the mean value of the size in the vicinity of the anomaly. This makes it possible, in particular, to determine how far the semi-finished product properties of the board deviate from their target values ​​and / or their target ranges. This can be used to determine the extent to which the quality information of the board should be determined, whether the board should be rejected, and the like.

[0030] If, for example, the identified anomaly is very close to a target range, it may be possible to forgo rejecting the board and increase quality control, although this does not require individual inspections. If the anomaly in the semi-finished product property is very far from its target range, the board can be rejected directly, particularly if supported by empirical values ​​or historical data. In other words, the critical boards can generally be removed in advance, or quality assurance can be intensified, as long as the critical boards, i.e. boards for which an anomaly has been identified, are being processed. By using the boards under possibly increased quality control, board scrap can be reduced, since not every local anomaly results in a component that violates the quality requirements.Depending on the production process, it is therefore necessary to consider whether a local anomaly can actually be considered relevant with regard to the quality of the produced components. This can be done, in particular, based on the anomaly index.

[0031] The described embodiment can be further developed, in particular, such that, based on historical information determined for a specific local anomaly in a group of boards, the warning information and / or the quality control intensity for at least one board in the group is changed. As described, the warning information is output and / or the quality information is generated when a board exhibiting an anomaly is processed. If quality information has already been determined for a board with a local anomaly, historical information is available in the form of historical data, which indicates, for example, that the local anomaly of the board in a group of boards did not impair the quality of the component. This can be exploited to weaken or reduce the warning information, or to forgo output of the warning information if necessary.For example, if it has been determined based on the history information that a specific local anomaly has had a significant impact on the quality of the component, quality assurance can either be further increased or the corresponding boards from the group of boards associated with the local anomaly can be directly eliminated.

[0032] After processing boards that exhibit a local anomaly, for example, an analysis is carried out to determine the extent to which this affected the quality of the produced components. For this purpose, the result of this analysis is assigned to each board based on its identification information. This analysis can also be referred to as a re-evaluation. This re-evaluation allows further refinement of the subsequent processing steps, particularly for boards that belong to the same group of boards, i.e. that exhibit the same local anomaly. If boards are due to be processed that come from an area on the line that exhibited a local anomaly, the plant operator is warned. The content of the warning depends on the extent to which the anomaly is expected to affect the quality of the produced components. The results of the re-evaluation are used for this purpose.Again, the warning message may also include information if a local anomaly has been detected and no assessment of its impact on component quality is available. Accordingly, further processing steps can be optimized to ensure the lowest possible scrap rate while maintaining the highest possible quality assurance.

[0033] As already described, at least one blank for which an anomaly has been identified can be processed in the machining process without changing the machining process and then discarded. Essentially, the embodiment proposes that, despite knowledge of the anomaly exhibited by the blank, the machining process is nevertheless carried out unchanged, and the machined blank is subsequently discarded, if necessary. This prevents a process downtime of the machining device, for example, a press line. Since such a process downtime is usually complex and expensive, it is preferable to accept that a defective blank is nevertheless processed and subsequently discarded.Compared to the procedure described at the beginning, which involves making short-term changes to the machining process for at least one anomalous board or group of boards, which are only required for the comparatively small number of boards, it is usually more economical to reject the comparatively few boards.

[0034] Furthermore, the method can provide for an anomaly index to be determined for at least one blank exhibiting an anomaly, which anomaly index describes a group size of the group of blanks exhibiting the anomaly and / or an absolute value or a difference value of the anomaly of the at least one semi-finished product property, in particular with respect to at least one anomaly of another blank or a deviation from a target value and / or a target range of the semi-finished product property. The described anomaly index can be stored in a table, for example. The determined anomaly can be identified or characterized by the anomaly index. For example, the anomaly index can comprise the group size of the group of blanks for which the anomaly is determined. In other words, the anomaly index can describe how far the local anomaly extends across the strip or how many blanks exhibit the anomaly.Or how far the anomaly affects the individual boards, or how much the anomaly fluctuates across the individual boards. This can also be used to determine the extent to which the quality information from one board is meaningful for the entire group.

[0035] In a further development of the method, it can be provided that, in particular by means of at least one statistical analysis method, at least one correlation is determined between at least one specific anomaly, in particular a plurality of anomalies, and at least one piece of manufacturing information. In other words, the data generated by the method can also be used for statistical analyses. For example, it is possible to identify certain properties of the blanks, for example materials, which particularly frequently exhibit local anomalies. As manufacturing information, for example, the manufacturer or supplier, a process route on which the blank or coil was manufactured, the material, a position of the blank in the strip and the like can be taken into account. Subsequently, it can be determined across the blank processing processes which the blanks exhibit anomalies.For example, it's easy to count which coils exhibit the most anomalies. It's also possible to filter, particularly based on unique identification information, to determine what commonalities the blanks exhibiting the anomalies have. For example, it's possible to determine that blanks that come from a specific supplier or from a specific process route, are made of a specific material, are located in a specific position in the coil, and so on, are more likely to exhibit anomalies.

[0036] In addition to the method, the invention relates to a processing device for processing, in particular forming, blanks, wherein the processing device has a detection device which is designed to detect at least one semi-finished product property of at least one blank and to assign unique identification information to the blank, in particular to apply it to the blank, wherein the processing device is designed to determine an anomaly of the blank, in particular related to a target value and / or a target range and / or a coil providing the blank to a singulation process, based on the at least one detected semi-finished product property, and to identify the blank in the processing process using the unique identification information and to control a processing process of the blank depending on the determined anomaly.

[0037] The processing device is particularly designed to carry out the previously described method in all details and with all features. All advantages, details, designs, and / or features described with regard to the method are fully transferable to the processing device.

[0038] The invention is explained using an exemplary embodiment with reference to the figures. The figure is a schematic representation and shows a basic diagram of a flow chart of a method for controlling a machining process of circuit boards according to an exemplary embodiment.

[0039] The figure shows schematically how the method for controlling a blank processing process, for example a forming process, can be carried out. The method starts in a block 1, in which semi-finished product properties of the blanks are recorded, in particular by means of a recording device of a processing apparatus. As described, any mechanical, geometric, physical, or chemical properties of the blanks, in particular a sheet thickness, tribological properties, for example a lubricant quantity, elasto-plastic properties, and the like, can be recorded as semi-finished product properties. Furthermore, in block 1, the blanks are marked. In particular, they are assigned identification information, for example a serial number.The identification information can be applied to a surface of the circuit boards, for example, inscribed into the surface by means of an energy beam, in particular a laser.

[0040] Based on the recorded semi-finished product properties, an anomaly of the blanks is determined in block 2. In other words, it can be determined which blanks exhibit an anomaly. The anomaly can, in particular, be related to a target value and / or a target range of at least one semi-finished product property. It is also possible to relate the anomaly to semi-finished product properties exhibited by a coil comprising the blank before singulation. The anomaly can, for example, be characterized using an anomaly index, which can also be determined in block 2. The anomaly index indicates, for example, the extent to which the semi-finished product property deviates from the corresponding target semi-finished product property, for example as a difference value or absolute value. Furthermore, the anomaly index can indicate a group size of blanks exhibiting the anomaly.For example, it can be determined whether a local anomaly exists in the coil strip in which the anomalous blank was located. In particular, it can be determined whether the local anomaly also affects the neighboring blanks and how severe it is in the neighboring blanks.

[0041] In block 3, for example, when a blank is fed to the processing device, the blank is identified using the previously described identification information applied to the blank. The previously determined anomaly, in particular the semi-finished product properties of the individual blank, can be stored in a data memory for this purpose and linked to the identification information. In other words, in block 3, it can be determined for the currently identified blank whether it has an anomaly. If the blank to be processed has an anomaly, a warning signal can be issued to an operator of the processing device in block 3. The warning signal can, for example, indicate that the blank currently being processed has an anomaly in the semi-finished product properties. This can prevent process parameters of the processing process from being changed unnecessarily. This can prevent downtimes of the processing device.

[0042] Depending on the anomaly identified, quality information can be determined for the board exhibiting the anomaly in Block 4. In particular, a quality assurance measure can be carried out for the board in Block 4, in particular, the intermediate product obtained by processing the board can be inspected. The quality information obtained from this can provide information about whether the board anomaly had an impact on the processing or whether it nevertheless led to a positive result. If the quality requirements are not met, the processed board can be rejected in Block 4. Likewise, if, for example, the anomaly index already indicates an excessively severe anomaly, it is possible to reject the board immediately without processing the board.

[0043] The quality information can also be analyzed in Block 5, for example, as part of a statistical analysis. For example, if Block 4 determines that despite the anomaly, the board can be processed to meet the quality requirements, the warning signal issued in Block 3 can be adjusted. This can also determine whether other boards affected by the local anomaly can also be processed. However, if the quality information indicates a negative processing result, this can also be used for the entire group of boards, for example, to reject them altogether.

[0044] In other words, feedback from post-processing, i.e., quality assurance, can be applied to the control process, allowing a branching from block 5 to block 3, where the control of the machining process can be adjusted. Furthermore, in block 5, it can be evaluated whether a correlation exists between the determined anomaly and at least one piece of manufacturing information. This can be determined, for example, for a large number of specific anomalies. For example, the semi-finished product properties or the manufacturing information of those blanks exhibiting an anomaly can be compared.This can lead to the conclusion, for example, that a certain combination of manufacturing information, for example a certain supplier, a certain process route, a certain material, a certain amount of lubricant and the like, has a higher frequency of anomalies than other (regular) boards with different manufacturing information.

[0045] Advantageously, this allows the occurrence of anomalies to be ruled out in advance, and identifying anomalies can prevent process downtimes and unnecessary adjustments to process parameters. Since the blanks exhibiting the anomaly can still be processed, unnecessary scrap can be largely prevented. If the components manufactured from the blanks exhibiting the anomaly meet the quality requirements, they can be used. If the quality requirements are not met, the blanks, and possibly all blanks in the same group, can be discarded. This results in an efficient processing process that is robust against anomalies in the semi-finished blank properties.

[0046] The processing device described herein is designed to carry out the previously described method in all its features and details. The above description is therefore fully applicable to the processing device. LIST OF REFERENCE SYMBOLS 1-5 blocks

Claims

[1] Method for controlling a machining process, in particular a forming process, of blanks, wherein at least one semi-finished product property of at least one blank is detected and the blank is assigned a unique identification information, in particular is applied to the blank, characterized by that based on the at least one detected semi-finished product property, an anomaly of the board, in particular related to a target value and / or a target range and / or a coil providing the board to a singulation process, is determined and the board is identified in the processing process on the basis of the unique identification information and the processing process of the board is controlled depending on the determined anomaly. [2] Method according to claim 1, characterized bythat at least one local anomaly of at least two boards and / or a group of boards that are or were adjacent in a coil providing the boards is determined. [3] Method according to claim 1 or 2, characterized by that the at least one semi-finished product property, in particular a set of semi-finished product properties, is detected by means of a detection device and the at least one semi-finished product property is linked to the at least one circuit board using data technology based on the identification information. [4] Method according to one of the preceding claims, characterized by that the identification information includes at least one of the following information: - a tape position of the board on the reel; and / or - an identifying feature of the circuit board; and / or - an identifying feature of the coil; and / or - manufacturer information of the circuit board and / or coil; and / or - a position of a board in a board stack; and / or - at least one target semi-finished product property of the board. [5] Method according to one of the preceding claims, characterized by that when a board for which an anomaly has been determined is identified, warning information is output in the processing process and / or after the processing of the board, at least one piece of quality information about the board is determined, in particular based on at least one quality control intensity. [6] Method according to claim 5, characterized by that based on historical information determined for a specific local anomaly of a group of boards, the warning information and / or the quality control intensity for at least one board of the group is changed. [7] Method according to one of the preceding claims, characterized bythat at least one board for which an anomaly has been identified is processed in the processing process without changing the processing process and then discarded. [8] Method according to one of the preceding claims, characterized by that for at least one board having an anomaly, an anomaly index is determined which describes a group size of the group of boards having the anomaly and / or an absolute value or a difference value of the anomaly of the at least one semi-finished product property, in particular with respect to at least one anomaly of a further board or a deviation from a target value and / or a target range of the semi-finished product property. [9] Method according to one of the preceding claims, characterized bythat, in particular by means of at least one statistical analysis method, at least one correlation is determined between at least one specific anomaly, in particular a plurality of anomalies, and at least one piece of manufacturing information. [10] Processing device for the processing, in particular the forming, of blanks, wherein the processing device has a detection device which is designed to detect at least one semi-finished product property of at least one blank and to assign to the blank a unique identification information, in particular to apply it to the blank, characterized bythat the processing device is designed to determine an anomaly of the board, in particular related to a target value and / or a target range and / or a coil providing the board to a singulation process, based on the at least one detected semi-finished product property, and to identify the board in the processing process using the unique identification information and to control a processing process of the board depending on the determined anomaly.

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