EP4150567A1 - Procédé de mesure d'un objet mis en oeuvre par ordinateur - Google Patents

Procédé de mesure d'un objet mis en oeuvre par ordinateur

Info

Publication number
EP4150567A1
EP4150567A1 EP21726556.0A EP21726556A EP4150567A1 EP 4150567 A1 EP4150567 A1 EP 4150567A1 EP 21726556 A EP21726556 A EP 21726556A EP 4150567 A1 EP4150567 A1 EP 4150567A1
Authority
EP
European Patent Office
Prior art keywords
conformity
measurement data
digital representation
determining
analyzed
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
EP21726556.0A
Other languages
German (de)
English (en)
Inventor
Sören Schüller
Thomas Günther
Daniela Handl
Matthias Flessner
Christof Reinhart
Christoph Poliwoda
Sven Gondrom-Linke
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Volume Graphics GmbH
Original Assignee
Volume Graphics GmbH
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Volume Graphics GmbH filed Critical Volume Graphics GmbH
Publication of EP4150567A1 publication Critical patent/EP4150567A1/fr
Pending legal-status Critical Current

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • G06T7/0004—Industrial image inspection
    • G06T7/0006—Industrial image inspection using a design-rule based approach
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • G06T7/0004—Industrial image inspection
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/60—Analysis of geometric attributes
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/20—Image preprocessing
    • G06V10/25—Determination of region of interest [ROI] or a volume of interest [VOI]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10028—Range image; Depth image; 3D point clouds
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10072—Tomographic images
    • G06T2207/10081—Computed x-ray tomography [CT]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10116—X-ray image
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30108—Industrial image inspection
    • G06T2207/30164—Workpiece; Machine component

Definitions

  • the invention relates to a computer-implemented method for measuring an object.
  • the individual components are subject to manufacturing tolerances and possible defects.
  • measurements are carried out on the components.
  • a component to be measured is initially unknown during the measurement. This can affect the entire geometry of the component or only parts of the geometry of the component. Even if the target geometry is known, the component to be measured exhibits unknown deviations here from, whereby these deviations often have to be checked.
  • the object of the invention is therefore to provide a computer-implemented method that has increased efficiency.
  • the invention relates to a computer-implemented method for measuring an object, the method having the following steps: determining measurement data by means of a device for measuring the object, the measurement data being a digital representation of the object with a variety of image information from the Create object; and performing the following steps at least before ending the step of determining measurement data: analyzing at least part of the digital representation of the object to determine defects; If at least one defect is determined in the analyzed at least one part of the digital representation: Determining at least one conformity result for the at least one analyzed part of the digital representation of the object, the conformity result indicating how far the analyzed at least part of the digital representation is with the at least one defect identified meets at least one predefined conformity criterion for the object; and if no defect is determined in the analyzed at least part of the digital representation and sufficient measurement data have been recorded to determine that the analyzed at least part of the digital representation of the object meets the at least one conformity criterion: generating a conformity result for the at least one
  • a computer-implemented method for measuring an object which, during the determination of the measurement data, uses information that results from the determination of the measurement data in order to influence the determination of the measurement data after a preliminary analysis.
  • properties to be measured for which the tolerance is most likely not to be observed, can tend to be recorded earlier in the measurement data and evaluated in the preliminary evaluation. In this way, a possible termination of the measurement process occurs earlier on average.
  • the information about which properties these are to be measured can originate, for example, from a statistical evaluation of measurements of similar objects. In the case of series measurements, the sequence of the measurement process can thus be continuously adapted or optimized.
  • preliminary information about the geometry of the object, z. B. from CAD and / o the present measurement data can be used to avoid a collision of the object with an X-ray tube or a detector.
  • the measurement can be a radiographic measurement, e.g. B. with X-rays act.
  • the measurement may be an optical measurement, e.g. B. photogrammetry, fringe projection or the observation of an object or its surface with a camera, or measurements of the interior of an object with the help of ultrasound, or other types of measurements.
  • the analysis can be carried out on the basis of 2D radiographic images, a reconstructed 3D volume, or a combination of both.
  • the digital representation of the object can be a volume representation, a sectional representation, a projection representation and / or a surface representation.
  • the volume representation can, for. B. can be derived from a variety of projection representations.
  • the surface representation can, for. B. can be derived from a volume representation or in the case of photogrammetry and fringe projection from a large number of camera images or measurement images.
  • the radiographic measurement is carried out by means of a device which determines the measurement data from a radiographic geometry around the object.
  • the object is irradiated from different irradiation directions.
  • An irradiation geometry describes the direction in which the object is irradiated, but also the position of the irradiated area and the magnification.
  • the radiation geometry can be described by the position of the X-ray source and the detector in relation to the measurement object. This results in nine geometric degrees of freedom: for translation, three degrees of freedom for the tube and the detector, and for rotation, three degrees of freedom for the detector.
  • a radiation geometry can be defined with respect to the measurement object, but also with respect to the device for measuring the object.
  • the compliance result may have some uncertainty, e.g. B. at the beginning of the determination of the measurement data when, using the example of the radiographic measurement, only a few projections have been recorded.
  • z. B. By analyzing at least a part of the digital representation of the object to determine defects, z. B. a reconstruction, a segmentation and / or a surface Determination of the measurement data can be understood, which can be followed by a further analysis. Since z. B. a defect analysis, in particular for pores, voids, inclusions, cracks, porosity or structural loosening, both inside the object and on the surface, a dimensional analysis, in particular for size, shape, position, waviness, roughness, wall thickness, Target / actual comparison of defined geometries or in defined areas, and / or a material analysis, in particular a fiber composite analysis or a foam structure analysis, can be carried out. Furthermore, as an alternative or in addition, a recording of the surface, a recording of the component interior, ie the material or an analysis of the completeness of assemblies, e.g. B. after a missing element.
  • two-dimensional measurement data can be evaluated. This means that the radiating measurements can be analyzed directly, even without reconstruction. This can be done directly on unprocessed radiographic images. For this purpose, several radiographic images of different radiographic geometries can also be taken into account together.
  • a reference image can be used to better identify any defects in the images, e.g. B. a difference image with regard to a radiographic comparison measurement of a previous measurement of a similar object, which can be averaged, or a difference image with regard to a simulation of an at least similar radiography of the target geometry.
  • artificial intelligence can also be trained in order to identify the defects with great reliability. It can be advantageous to use local information from other sensors for the evaluation, in particular ultrasound for defect and other material analyzes or optical and tactile sensors for dimensional measurement technology.
  • the preliminary analysis of the measurement data that is already available is carried out, it can be examined, for example, in particular with regard to the question of whether the required quality of the measurement data has already been achieved, whereby this cannot necessarily be carried out globally, but also locally.
  • This can be a global minimum quality of the measurement data that is specified for the entire measurement volume, or a local minimum quality of the measurement data that is defined as a function of the location or of a property to be measured.
  • the minimum quality can also be checked automatically using the values specified in an evaluation plan Measured variables, possibly including tolerances, can be determined.
  • the position of the current measurement result with regard to the tolerance interval is also determined. If an estimate of the measurement uncertainty, e.g. B.
  • the quality of the measurement data can still be analyzed in order to identify those areas in which the quality of the measurement data is lowest.
  • This information can be used to decide whether a further measurement is necessary or whether the information available is sufficient to process the defined measurement task. If further information is required, optimized recording parameters can be determined for the following radiographs.
  • a tolerance range can be specified that is relevant for the decision on the conformity of the component.
  • the measurements to be carried out are often defined in an evaluation plan.
  • a conformity criterion can e.g. B. be a predetermined tolerance, which is checked.
  • the part of the digital representation of the object is formed from the measurement data determined so far.
  • the adaptation of the step of determining measurement data taking into account the at least one conformity result can result in optimized recording parameters.
  • recording parameters of a projection can be the radiation geometry of the projection, and / or setting options that can be set in the irradiation of an object, for example current, voltage and pre-filtering of the tube, the exposure time, the gain factor, the tube used, z. B. micro or nanofocus tube, the target used, e.g.
  • the decision as to whether the measurement task can be processed on the basis of the information available and the determination of the measurement data can thus be ended and / or whether or where further measurement different cases can arise.
  • the determination of the measurement data can be ended when this has been achieved everywhere.
  • it is sufficient that a critical quantity of the dimensional measurement is out of tolerance for a measured object to be treated as scrap.
  • the determination of the measurement data can be terminated if a critical variable is definitely outside the tolerance. The measurement results of the remaining quantities are then usually no longer relevant for the decision.
  • the determination of the measurement data can be continued despite the possibility of canceling the determination of the measurement data. In this case, the determination of the measurement data can be continued until they have a maximum permitted uncertainty. The measurement data are then no longer only used to judge the conformity of the object, but to regulate the manufacturing process.
  • the local uncertainty can be determined from the quality of the measurement data, which can be set in relation to the determined measurement result and a tolerance, as well as the position of the determined measurement result within this tolerance.
  • the local volume data can be analyzed in order to determine a local uncertainty of the measurement, e.g. B. estimate the position of the surface or on the surface of fitted geometry elements.
  • the resolution of the data, z. B. using the point spread function, and the noise, e.g. B. the signal-to-noise ratio can be used to determine the quality of the measurement data.
  • the question can be whether, in terms of the quality of the measurement data, the details of the defined variable, which usually cause gray value fluctuations in the measurement data, can even be reliably differentiated from the gray value fluctuations caused by noise and / or artifacts.
  • the quality of the measurement data can further be determined by analyzing the homogeneity of the data in order to e.g. B. to recognize streak or beam hardening artifacts, as well as other methods can be determined.
  • empirical values can be used for different analyzes in order to estimate the local quality of the measurement data and / or uncertainty.
  • a certain quality of the measurement data or uncertainty of the measurement data can be expected in a certain area if this area has been captured by a certain number of radiographs. This can e.g. B. derived from the specification of the CT system used who the.
  • an uncertainty can be derived from recording parameters such as the size of the X-ray spot or the resolution of the detector, for example.
  • parameters such as the noise or the contrast can be analyzed in the radiographic images.
  • the step of performing the following steps at least before ending the step of determining measurement data can be carried out several times in succession with additional or different measurement data obtained through the step of determining measurement data.
  • the step of adapting the step of determining measurement data taking into account the conformity result can have the following substep: Ending the step of determining measurement data if the conformity result indicates that the analyzed at least part of the digital representation with the determined at least one defect does not meet part of the at least one conformity criterion.
  • the step of adapting the step of determining measurement data, taking into account the conformity result can have the following substep: Ending the step of determining measurement data when sufficient measurement data have been recorded to determine that the analyzed at least part of the digital representation of the object that meets at least one conformity criterion.
  • the step of ending the step of determining measurement data can have the following substep: taking into account at least one uncertainty of the step of analyzing at least part of the digital representation of the object in order to determine defects.
  • the noise or the point spread function can be taken into account in order to assess whether a defect outside the tolerance has been reliably identified on the basis of the available data.
  • the contrast and the noise can be used in radiographic images. The uncertainty can relate to whether a defect is discovered or to what extent the geometry, e.g. B. diameter or volume, a detected defect was correctly recorded.
  • the step of determining a conformity result can for example have the following sub-step: determining at least one local uncertainty of the step Analyze at least a part of the digital representation of the object to determine defects for a part of the digital representation of the object that includes the analyzed at least one defect , wherein the local uncertainty is estimated by means of a local noise of the measurement data and / or that of the local image information in a surrounding area around already known further defects.
  • the step of determining at least one conformity result for the at least one analyzed part of the digital representation of the object can have the following substeps: Determining whether a global quality requirement for the measurement data of the at least one part of the digital representation of the object is met, The global quality requirement for the entire digital representation of the object is derived from an evaluation rule, and if the global quality requirement is not met: providing at least one conformity result that indicates that it is uncertain whether the at least part of the digital representation meets the predefined conformity criterion Fulfills.
  • the step of determining at least one conformity result for the at least one analyzed part of the digital representation of the object can have the following substeps: Determining whether a local quality requirement for the measurement data of the at least one part of the digital representation of the object is met, The at least one local quality requirement for a region of the digital representation of the object is derived from an evaluation rule, and if the local quality requirement is not met: providing at least one conformity result that indicates that it is uncertain whether the at least one part of the digital Representation meets the predefined conformity criterion.
  • the evaluation rule gives z. B. local minimum requirements for noise and point spread function, these may depend on the analyzes to be performed locally. If these are filled, the uncertainty z. B. viewed as small or negligible compared to the required tolerance. The uncertainty is determined locally and estimated with the help of the local noise and the available two- or three-dimensional image data of the individual spatial areas and already identified defects or their surroundings.
  • the step of determining at least one conformity result can have the following sub-step: providing a point spreading function determined from the measurement data; and estimating a security value for indicating how far a defect which does not meet the predefined conformity criterion for the object can be identified, taking into account a quality of the measurement data.
  • the point spread function which was determined from the measurement data, is also used here in order to be able to estimate whether defects outside the tolerance can be reliably identified on the basis of the quality of the measurement data.
  • a device for measuring the object can be used to carry out a radiographic measurement of the object, the step of adapting the step of determining measurement data taking into account the conformity result having the following substep: determining at least one region in the at least one Part of the digital representation of the object in which the at least one conformity result indicates that it is uncertain whether the at least one predefined conformity criterion is met or not; Changing a radiation geometry of the radiating measurement of the object in the step determining measurement data in such a way that further measurement data are determined for the determined region.
  • the measurement data can, among other things, also be projections that cover the relevant area, i. H.
  • the at least one region in the at least one part of the digital representation of the object in which the at least one conformity result indicates that it is uncertain whether the at least one predefined conformity criterion is met or not is mapped with a larger geometric magnification. This can be carried out, for example, in such a way that the corresponding areas in the projections to be recorded are mapped more frequently and / or in a larger geometric magnification.
  • the step of adapting the step of determining measurement data, taking into account the conformity result can further comprise the following substep: changing at least one setting option of a device for performing the step of determining measurement data taking into account the changed radiation geometry.
  • recording parameters or setting options are optimized, in particular voltage, current and / or exposure time, in order to achieve an ideal data quality for the radiation geometry.
  • the sub-step of changing an irradiation geometry of the irradiating measurement of the object in the step of determining measurement data can have the following Sub-sub-step: Changing the radiographic geometry of the radiating measurement of the object while avoiding a simultaneous radiating measurement of predefined and / or strongly absorbing areas of the object determined from the measurement data and the determined regions of the object in which the conformity result indicates that none It is possible to make a statement as to whether the analyzed at least part of the digital representation of the object with the identified defect fulfills or does not fulfill the at least one predefined conformity criterion.
  • the step of adapting the step of determining measurement data, taking into account the conformity result has the following substep: determining at least one region in the at least one part of the digital representation of the object in which the at least one conformity result indicates that it is unsafe is whether the at least one predefined conformity criterion is or is not fulfilled; Determining measurement data of a further measurement, which differs from the radiating measurement, from the determined region in such a way that further measurement data are determined for the determined region.
  • This example identifies the measured variables or areas for which reliable statements are not yet necessary.
  • the further measurement can, for. B. Runaway leads by means of an ultrasonic sensor.
  • the step of determining measurement data can further include the following step: generating a digital representation of the object only for those parts of the object in which the at least one predefined conformity criterion is defined.
  • a pre-alignment of the measurement data can be carried out, i. H. the measurement data can be provisionally aligned with a target geometry of the object. This can e.g. B. be performed on the basis of a one-time, rapid reconstruction. Only those areas are then reconstructed from this in which it has not yet been possible to make a reliable statement about conformity. Alternatively or additionally, the entire volume or larger areas can be reconstructed with low resolution and only those areas in which no clear statement is possible on the basis of the low resolution can be reconstructed in full resolution.
  • the spatial orientation ie the orientation, of the measurement data or of the object may initially be unknown. However, this is relevant in order to be able to approach any previously defined radiation geometries, for example trajectories. You can do this using the first Radiographic images determine the spatial orientation of the object in the device for measuring the object and the following radiographic geometries are approached accordingly.
  • the invention relates to a computer program product with instructions which can be executed on a computer and which, executed on a computer, cause the computer to carry out the method according to the preceding description.
  • a computer program product e.g. B. be understood as a data carrier on which a Com puterprogrammelement is stored, which has executable instructions for a computer.
  • a computer program product can also be understood to mean, for example, a permanent or volatile data memory, such as flash memory or working memory, which has the computer program element. Store other types of data that have the computer program element, but are not excluded.
  • FIG. 1 shows a flow diagram of the computer-implemented method.
  • the computer-implemented method for measuring an object is referenced below in its entirety as indicated in FIG. 1 with the reference symbol 100.
  • the method 100 comprises the determination of measurement data by means of a device for measuring the object.
  • the measurement data generate a digital representation of the object that has a large amount of image information about the object.
  • This can e.g. B. be a two-dimensional representation of the object or a three-dimensional representation of the object.
  • the digital representation of the object can also be derived from the measurement data, e.g. B. in radiographic measurements by a tomographic reconstruction.
  • a digital representation of the object can only be generated for those parts of the object in which the at least one predefined conformity criterion is defined. This means that only those that are relevant for conformity are shown Areas of the object used for generating the digital representation of the object. The remaining areas of the property are not displayed digitally. This reduces the amount of data for the evaluation. Since the simultaneous evaluation of measurement data places great demands on the computing power, the reduction in the amount of data to be evaluated is particularly advantageous, since it reduces the computing power required.
  • the measurement data can be aligned in advance, ie the measurement data can be tentatively aligned with a target geometry of the object. This can e.g. B.
  • the entire volume or larger areas can be reconstructed with low resolution and only those areas in which no clear statement is possible on the basis of the low resolution can be reconstructed in full resolution.
  • a further step 104 is carried out at least before step 102 is ended.
  • Step 104 can interrupt step 102.
  • step 104 can be carried out at the same time as step 102, i.e. while step 102 is being performed, before step 102 is ended. At this point in time, not all of the measurement data that are to be determined have been determined from the object. This means that only part of the digital representation of the object is available.
  • Step 104 includes steps 106, 108, 110 and 112.
  • step 106 at least part of the digital representation of the object is analyzed to determine defects. This is the part of the digital representation of the object that was previously determined by step 102, since step 102 has not yet ended when step 106 is carried out.
  • step 106 reveals whether a defect is present in the analyzed at least part of the digital representation of the object. If at least one defect has been determined in the analyzed at least part of the digital representation of the object, the path 107 is followed. Then step 108 is performed.
  • step 108 at least one conformity result is determined for the analyzed part of the digital representation of the object.
  • the conformity result indicates how far the analyzed at least one part of the digital representation with the determined defect or defects fulfills at least one predefined conformity criterion for the object.
  • a conformity criterion can be, for example, that the defects in the part of the digital representation of the object must have a size within a tolerance interval.
  • AI- Alternatively or additionally, the conformity criterion can require, for example, that only pores of a predefined number with a predefined size may be present in the part of the digital representation. Further conformity criteria are possible.
  • the conformity result can, for example, indicate that the defects only have a minor influence on the analyzed part and that all conformity criteria for the analyzed part are thus met.
  • the conformity result can indicate that the defects have a strong influence on the analyzed part, so that at least one conformity criterion for the analyzed part is not met.
  • the conformity criterion can indicate that further measurement data are required in order to determine whether the analyzed at least part of the digital representation of the object fulfills the at least one conformity criterion.
  • Step 108 can have several optional substeps.
  • a global quality requirement for the measurement data of the at least part of the digital representation of the object is met.
  • the global quality requirement for the entire digital representation of the object is derived from an evaluation rule.
  • the evaluation rule can be predefined or created later.
  • the evaluation rule can, for example, specify minimum requirements for the noise and the point spread function. On the one hand, it can be concluded that no problematic effects can be overlooked if this minimum requirement is met.
  • an uncertainty in the measurement data can be linked to the quality requirements. The uncertainty of the measurement data is viewed as small or negligible compared to the required tolerance, for example, if the quality requirements are met.
  • At least one conformity result can be provided that indicates that it is uncertain whether the at least part of the digital representation meets the predefined conformity criterion.
  • step 108 can have optional substeps 126 and 128.
  • sub-step 126 it is determined whether a local quality requirement for the measurement data of the at least part of the digital representation of the object is met.
  • the local quality requirement is derived from an evaluation rule for a region of the digital representation of the object. This means that the local quality requirement only applies to this region of the digital talen representation. Different local quality requirements apply to other regions of digital representation. In contrast to this, a global quality requirement applies to all regions of the digital representation, ie for the entire digital representation of the object.
  • the evaluation rule can, for example, specify local minimum requirements for the noise and the point spreading function as local quality requirements.
  • the local quality requirements can depend on the analyzes to be carried out locally.
  • the uncertainty of the measurement data is then viewed, for example, as small or negligible compared to the required tolerance if the minimum requirements are met.
  • the uncertainty applies locally in the region of the digital representation.
  • the uncertainty can be estimated with the help of the local noise and the available two- or three-dimensional image data of the individual regions and the defects that have already been identified or their surroundings.
  • a conformity result is provided in substep 128, which indicates that it is uncertain whether the at least part of the digital representation of the object meets the predefined conformity criterion. This means that the conformity result indicates again that the conformity criteria have been met or that they have not been met. Instead, the continuity result shows an intermediate state that requires the determination of further measurement data about the object.
  • step 108 can alternatively or additionally have the optional substeps 130 and 132.
  • a point spread function is determined from the measurement data and made available.
  • the point spread function is used in substep 132 to estimate how far a defect that does not meet the predefined conformity criterion for the object can be identified. This is done taking into account a quality of the measurement data. The estimate results in a safety value.
  • step 110 If no defect is determined in the analyzed at least part of the digital representation of the object and, at the same time, sufficient measurement data were recorded in step 102 to determine that the analyzed at least part of the digital representation of the object fulfills the at least one conformity criterion, the Followed path 109. Then step 110 is performed.
  • step 110 a conformity result is generated which indicates that the at least one analyzed part of the digital representation of the object fulfills the at least one predefined conformity criterion for the object.
  • step 102 is adapted according to the conformity result. That is, if the conformity result indicates that the identified defects influence the at least part of the digital representation of the object in such a way that it does not meet the at least one conformity criterion, the object is treated as scrap and, in step 112, step 102 is adapted according to the conformity result . Further determination of measurement data from other parts of the object will no longer change the conformity result in this case.
  • the conformity result indicates that the identified defects influence the at least one part of the digital representation of the object in such a way that it fulfills the at least one conformity criterion, further determination of measurement data from other parts of the object will also no longer change the conformity result.
  • the object can be treated as an orderly object.
  • step 102 can be ended. This means that the determination of the measurement data is ended as soon as the conformity result shows that the conformity criterion cannot be met with the previously measured part of the object or that the conformity criterion is definitely met with the previously measured part of the object. Further measurement of the object would no longer change the conformity result is therefore unnecessary. The time that is used for this further measurement can thus be saved.
  • the determination of the measurement data is continued in accordance with step 102.
  • the substep 114 can have the substep 118, in which at least one uncertainty of step 106 is taken into account in order to end step 102.
  • step 114 is only carried out if the conformity result indicates a reliable result, also taking into account the uncertainty, ie either the fulfillment of the at least one conformity criterion or the non-fulfillment of the conformity criterion.
  • the uncertainty of the measurement result or conformity result must therefore also lie within the range in which the conformity criterion is or is not fulfilled. If, due to the uncertainty, the conformity result should indicate a possible fulfillment and a possible non-fulfillment of the conformity criterion, step 114 is not carried out.
  • sub-step 120 can be provided in step 108.
  • at least one local uncertainty is determined that arises in step 106 when analyzing the at least part of the digital representation of the object to determine defects. The local uncertainty only affects that part of the digital representation of the object that is examined in the analyze step.
  • the local uncertainty can be estimated by taking into account local noise in the measurement data and / or the local image information in a surrounding area and other known defects.
  • step 102 can be carried out by means of a radiographic measurement of the object, so that the measurement data represent radiographic images of the object.
  • radiation is transported through the object by means of the device for measuring the object, the device for measuring the object and the object defining a transmission geometry.
  • Sub-steps 134 and 136 can then be provided in step 112, for example.
  • At least one region in the at least part of the digital representation of the object is determined by displaying an uncertain conformity result. This means that for this region it cannot be stated whether the at least one predefined conformity criterion is met or not. For example, this can be caused by an uncertainty of the conformity result, whereby the conformity result without the uncertainty would indicate that the predefined conformity criterion would certainly be fulfilled or would not be fulfilled, but the opposite result could also be fulfilled due to the uncertainty of the conformity result.
  • a radiographic geometry of the radiating measurement of the object is changed in such a way that further measurement data can be determined for the region determined in substep 134.
  • the radiation geometry for this region is adapted so that further measurement data that are recorded with the device for measuring the object in combination with the measurement data determined so far will likely allow a statement about the conformity of the object.
  • Sub-step 136 can further include sub-sub-step 140, in which the radiation geometry of the radiation measurement of the object is changed, avoiding regions of the object for which no statement about the conformity result is possible and strongly absorbing areas being irradiated at the same time , or that the strongly absorbing regions ons of the object cover the regions in the radiation where it was determined that no statement about conformity is possible.
  • the strongly absorbing areas can be predefined and / or determined from the measurement data. By avoiding simultaneous irradiation, the quality of the measurement data can be significantly improved. It is also avoided that the avoided regions and strongly absorbing areas of the object generate measurement data with which it is likewise not possible to determine whether the at least one conformity criterion is met or not. Therefore, measurement time can be saved, so that the computer-implemented method 100 becomes more efficient.
  • step 112 can further include substep 138.
  • substep 138 at least one setting option of a device for performing step 102 is changed. This step is carried out taking into account the changed radiation geometry from substep 136.
  • step 112 can further include substeps 142 and 144.
  • At least one region is determined in the at least part of the digital representation of the object in which the at least one conformity result is uncertain. This means that regions are identified in which further measurement data must be collected, since it is not clear whether the conformity criterion is met or not.
  • sub-step 144 a determination of measurement data with further measurements is then carried out. These further measurements differ from the radiographic measurement.
  • the radiographic measurement has been carried out using computed tomography, for example, the further measurements are carried out using ultrasound, for example.
  • Additional measurement data are determined for the region determined in substep 142.
  • the additional measurement data are intended to help ensure that a reliable conformity result can be determined for the determined region.
  • the computer-implemented method 100 can be executed on a computer by means of a computer program product.
  • the computer program product has a Computer executable instructions. When these instructions are executed on a computer, they cause the computer to perform the process.

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Quality & Reliability (AREA)
  • Geometry (AREA)
  • Multimedia (AREA)
  • Analysing Materials By The Use Of Radiation (AREA)
  • Image Processing (AREA)

Abstract

L'invention concerne un procédé de mesure d'un objet, comprenant les étapes suivantes, consistant à : acquérir (102) des données de mesure au moyen d'un dispositif de mesure de l'objet, les données de mesure générant une représentation numérique de l'objet comportant une pluralité de données d'images ; et réaliser (104) les étapes suivantes, au moins avant achèvement de l'étape d'acquisition (102), consistant à : analyser (106) au moins une partie de la représentation numérique afin d'identifier des défauts ; si au moins un défaut est identifié dans la partie analysée de la représentation numérique, déterminer (108) au moins un résultat de conformité relatif à la partie analysée de la représentation numérique, le résultat de conformité indiquant dans quelle mesure l'au moins une partie de la représentation numérique analysée présentant le défaut déterminé remplit au moins un critère de conformité prédéfini pour l'objet ; et si aucun défaut n'est identifié dans la partie analysée de la représentation numérique et que des données suffisantes de mesure ont été acquises pour déterminer que la partie analysée de la représentation numérique remplit l'au moins un critère de conformité, générer (110) un résultat de conformité relatif à la partie analysée de la représentation numérique, le résultat de conformité indiquant que l'au moins un critère de conformité prédéfini est rempli pour l'objet ; et adapter (112) l'étape d'acquisition (102), compte tenu du résultat de conformité.
EP21726556.0A 2020-05-11 2021-04-28 Procédé de mesure d'un objet mis en oeuvre par ordinateur Pending EP4150567A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
DE102020112650.6A DE102020112650A1 (de) 2020-05-11 2020-05-11 Computerimplementiertes Verfahren zur Messung eines Objekts
PCT/EP2021/061100 WO2021228551A1 (fr) 2020-05-11 2021-04-28 Procédé de mesure d'un objet mis en œuvre par ordinateur

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EP4150567A1 true EP4150567A1 (fr) 2023-03-22

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EP (1) EP4150567A1 (fr)
CN (1) CN116057569A (fr)
DE (1) DE102020112650A1 (fr)
WO (1) WO2021228551A1 (fr)

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Publication number Priority date Publication date Assignee Title
WO2011143143A2 (fr) 2010-05-12 2011-11-17 Kitware, Inc. Dispositif fantôme d'étalonnage et procédés d'analyse
US20140368500A1 (en) 2013-06-17 2014-12-18 Hexagon Metrology, Inc. Method and apparatus of measuring objects using selective imaging
WO2015088803A1 (fr) 2013-12-12 2015-06-18 General Electric Comapny Procédé pour la détection d'indications de défauts
DE102017208811A1 (de) 2017-05-24 2018-11-29 Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V. Verfahren und vorrichtung zur findung einer positionierung und zur datenfusion

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CN116057569A (zh) 2023-05-02
WO2021228551A1 (fr) 2021-11-18

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