Granted Patent B2

US 12,399,137 · App. 17/924,335 · Granted Aug 26, 2025

Inventors: Sven Gondrom-Linke (Heidelberg, DE); Matthias Flessner (Heidelberg, DE); Thomas Günther (Heidelberg, DE); Christoph Poliwoda (Heidelberg, DE); Sören Schüller (Heidelberg, DE); Christof Reinhart (Heidelberg, DE); Daniela Handl (Heidelberg, DE)

Assignee: VOLUME GRAPHICS GMBH

G01N23/046G01N23/06G01N2223/04G01N2223/303G01N2223/419

Abstract

Claims (49)

1. A computer-implemented method for monitoring the status of a device for investigating objects, wherein the investigation of an object involves determining measurement data by measuring the object and operating data of the device is determined during the investigation of the object, wherein the method comprises the following steps:

determining measurement data of the object by means of the device;

determining operating data of the device during the step of determining measurement data of the object;

determining at least one quality parameter from the measurement data;

analyzing the operating data and the at least one quality parameter;

determining a status characteristic value based on the analysis of the operating data and the at least one quality parameter in order to monitor the status of the device, wherein the status characteristic value indicates a status of the device;

carrying out at least the step of determining measurement data of the object with a first object, wherein the measurement is a radiographic measurement;

carrying out at least the step of determining measurement data of the object with a second object, wherein the measurement is a radiographic measurement, wherein a different radiographic geometry is used than for the first object;

determining projection representations from the measurement data of the first object;

determining projection representations from the measurement data of the second object;

comparing at least one blurring between the projection representations of the first object and the projection representations of the second object; and

analyzing the at least one blurring to determine the status characteristic value.

2. The method as claimed in claim 1 , wherein the step of determining a status characteristic value further comprises the following sub-step:

comparing the operating data and the at least one quality parameter with predefined comparative values for the operating data and the at least one quality parameter for determining a status characteristic value.

3. The method as claimed in claim 1 , wherein the step of determining a status characteristic value further comprises the following sub-step:

comparing the operating data and the at least one quality parameter to predetermined sample data for the operating data, derived from training data, and for the at least one quality parameter for determining a status characteristic value.

4. The method as claimed in claim 3 , wherein the training data is generated from measurement data which is determined by means of the device by means of at least one measurement within a predefined time interval before and/or after determining measurement data of a reference object, wherein the reference object has a known geometry and/or a known property.

5. The method as claimed in claim 1 , wherein the step of determining a status characteristic value further comprises the following sub-step:

determining whether the status characteristic value indicates a fault state of the device.

6. The method as claimed in claim 5 , wherein the method further comprises the following steps if the status characteristic value indicates that a fault state of the device might be present:

determining measurement data of a reference object by means of the device; and

analyzing the measurement data of the reference object to determine information on whether the fault state of the device is present.

7. The method as claimed in claim 1 , wherein the method further comprises the following step:

determining a fault cause parameter at least from the status characteristic value, wherein the fault cause parameter indicates a possible cause of the fault for a fault state.

8. The method as claimed in claim 7 , wherein, if in the step of determining a fault cause parameter, a fault cause parameter is determined which indicates that a geometric calibration of the device has an accuracy value that is outside a predefined accuracy value interval, the method further comprises the following step:

calibrating the device.

9. The method as claimed in claim 8 , wherein the device comprises an automatic object exchange unit, wherein the method further comprises the following step:

substituting a reference object for the object in the device for investigating objects for determining measurement data relating to the reference object and/or substituting a calibration object for the object in the device for investigating objects to calibrate the device for investigating objects.

10. The method as claimed in claim 1 , wherein the method further comprises the following steps:

carrying out at least the step of determining measurement data of the object with a first object, wherein the measurement of the first object is a radiographic measurement;

carrying out at least the step of determining measurement data of the object with a second object, wherein the measurement of the second object is a radiographic measurement;

determining imaging parameter sets of the device which are identical for the determination of measurement data for the first object and for the determination of measurement data for the second object;

determining first projection representations from the measurement data for the first object by means of the determined imaging parameter sets and determining second projection representations from the measurement data for the second object by means of the determined imaging parameter sets; and

analyzing at least one first quality parameter assigned to one of the first projection representations, and at least one second quality parameter assigned to at least one of the second projection representations, for differences;

and/or

that the method further comprises the following steps if an imaging parameter set of a first object and an imaging parameter set of a second object are at least partly non-identical:

defining imaging parameter sets of the device for determining measurement data;

carrying out at least the step of determining measurement data of the object with a first object with the defined imaging parameter sets for determining first projection representations, wherein the measurement is a radiographic measurement;

carrying out at least the step of determining measurement data of the object with a second object, with the defined imaging parameter sets for determining second projection representations, wherein the measurement is a radiographic measurement; and

analyzing at least one first quality parameter assigned to one of the first projection representations, and at least one second quality parameter assigned to at least one of the second projection representations, for differences;

wherein a geometry of the second object deviates from a geometry of the first object within a predefined tolerance interval.

11. The method as claimed in claim 1 , wherein the method further comprises the following step:

determining an estimate of an uncertainty of a measurement variable of the object determined from the measurement data by means of the operating data and the at least one quality parameter.

12. The method as claimed in claim 1 , wherein during the step of determining measurement data of the object by means of the device, the following steps are carried out:

determining preliminary measurement data and/or at least one preliminary quality parameter from the measurement data; and

adapting the step of determining measurement data of the object by means of the device, taking the preliminary measurement data and/or the at least one preliminary quality parameter from the measurement data into account.

13. The method as claimed in claim 12 , wherein the method further comprises the following step:

determining whether a measurement variable of the object determined from the measurement data, preferably taking an uncertainty of the measurement variable into account, lies within a predefined tolerance range.

14. A non-transitory computer program product that contains instructions that can be executed on a computer, which when executed on a computer cause the computer to carry out the method as claimed in claim 1 .

Assignments (1)

Priority Claims (1)

Continuity (1)

References Cited (11)