Computer-implemented method and apparatus for automatically generating identified image data and analysis apparatus for checking a component
The present disclosure relates to the automatic generation of characterized image data. For this purpose, a visual representation of a component is computed on the basis of existent structure data for the component, wherein the surface properties of the visual representation of the component may be varied based on predefined characteristic properties. Because, in the computation of such visual representations, both the component itself and the underlying characteristic surface properties are known, this information may be used for characterizing the corresponding parts in the visual representation in order to achieve automatic characterization of the computed visual representation.
1. A computer-implemented method for generating identified image data of components, the method comprising:
providing design data for a component;
providing specifications for possible surface properties of the component;
calculating a visual representation of the component using the provided design data and the provided specifications for the surface properties of the component; and
automatically allocating predetermined identifiers to the calculated visual representation of the component, the automatic allocation comprising:
(a) a multilevel hierarchical characterization of at least one part of the component, or
(b) a diagnosis for a predefined fault, possible damage, a prognosis for a probability of failure, a repair recommendation, or a combination thereof.
2. The method of claim 1 , wherein the provided specifications comprise characteristic textures for predetermined regions of a surface of the component.
3. The method of claim 2 , wherein the characteristic textures comprise properties selected from the group consisting of wear, aging, loading, contamination, potential probability of failure of the component, and combinations thereof.
4. A computer-implemented method for generating identified image data of components, the method comprising:
providing design data for a component;
providing specifications for possible surface properties of the component;
calculating a visual representation of the component using the provided design data and the provided specifications for the surface properties of the component; and
automatically allocating predetermined identifiers to the calculated visual representation of the component,
wherein the calculating comprises calculation of the visual representation along a predefined movement path.
5. The method of claim 1 , wherein the design data comprise computer aided design (CAD) data or manufacturing data for producing the component.
6. The method of claim 1 , wherein the automatically allocating comprises the multilevel hierarchical characterization of the at least one part of the component.
7. The method of claim 1 , wherein the automatically allocating comprises the diagnosis for the predefined fault, the possible damage, the prognosis for the probability of failure, the repair recommendation, or the combination thereof.
8. The method of claim 1 , further comprising:
storing the visual representation of the component together with the allocated identifier in a database; and
comparing a camera image of a component to be diagnosed with the stored visual representation.
9. An apparatus for automatically generating identified image data of components, the apparatus comprising:
a first database configured to provide design data for a component;
a second database configured to provide specifications for possible surface properties of the component; and
an image data generator configured to calculate a visual representation of the component along a predefined movement path using the design data provided by the first database and the specifications for possible surface properties provided by the second database, and to assign automatically predetermined identifiers to the calculated visual representation of the component.
10. An analysis apparatus for checking a component, the analysis apparatus comprising:
a first database configured to provide design data for a component;
a second database configured to provide specifications for possible surface properties of the component;
an image data generator configured to calculate a visual representation of the component using the design data provided by the first database and the specifications for possible surface properties provided by the second database, and to assign automatically predetermined identifiers to the calculated visual representation of the component; and
a reference image data memory configured to store the identified visual representations,
wherein the analysis appartus is configured to receive a camera image of a component to be checked and to compare the received camera image with the identified visual representations stored in the reference image data memory.
11. The analysis apparatus of claim 10 , wherein the analysis apparatus is further configured to identify a correspondence between at least part of the camera image and a part of the visual representations and to output an identifier which has been assigned to the identified correspondence in the visual representation.
12. The analysis apparatus of claim 10 , further comprising:
a control device configured to generate control commands depending on a result of the comparison with the identified visual representations and to output the generated control commands.
13. The analysis apparatus of claim 10 , wherein the analysis apparatus is further configured to carry out the comparison between the camera image and the stored identified visual representations based on artificial intelligence.
14. The analysis apparatus of claim 10 , further comprising:
an interface configured to receive at least one camera image of the component to be checked.
15. The analysis apparatus of claim 13 , wherein the artificial intelligence is a convolutional neural network.
16. The method of claim 4 , wherein the provided specifications comprise characteristic textures for predetermined regions of a surface of the component.
17. The method of claim 16 , wherein the characteristic textures comprise properties selected from the group consisting of wear, aging, loading, contamination, potential probability of failure of the component, and combinations thereof.
18. The method of claim 4 , wherein the design data comprise computer aided design (CAD) data or manufacturing data for producing the component.
19. The method of claim 4 , wherein the automatically allocating comprises a multilevel hierarchical characterization of at least one part of the component, or
wherein the automatically allocating comprises diagnosis for a predefined fault, possible damage, a prognosis for a probability of failure, a repair recommendation, or a combination thereof.
20. The method of claim 4 , further comprising:
storing the visual representation of the component together with the allocated identifier in a database; and
comparing a camera image of a component to be diagnosed with the stored visual representation.