Intelligent vibration digital twin systems and methods for industrial environments
US-2021157312-A1 · May 27, 2021 · US
US12416604B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-12416604-B2 |
| Application number | US-202217690305-A |
| Country | US |
| Kind code | B2 |
| Filing date | Mar 9, 2022 |
| Priority date | Mar 12, 2021 |
| Publication date | Sep 16, 2025 |
| Grant date | Sep 16, 2025 |
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A management device includes: an acquisition unit that acquires inspection result data indicating an inspection result of each of a plurality of workpieces and processing condition data indicating a processing condition used for processing each of the plurality of workpieces; an analysis unit that selects a specific parameter correlated with the inspection result among a plurality of processing parameters; and a prediction unit that predicts predict whether or not the processing device will become abnormal in future based on a temporal change in a value of the specific parameter.
Opening claim text (preview).
What is claimed is: 1. A management device for managing a shot peening device that sequentially processes a plurality of workpieces under a processing condition including a plurality of processing parameters, the management device comprising: a controller configured to acquire inspection result data indicating an inspection result of each of the plurality of workpieces and processing condition data indicating the processing condition used for shot peening processing each of the plurality of workpieces, the inspection result including electromagnetic characteristics and residual stress before and after shot peening processing, the processing condition data measured by a sensor provided in the shot peening device, wherein the controller is further configured to select, as a specific parameter, a processing parameter of which an absolute value of a correlation coefficient between the inspection result and the processing parameter is larger than a correlation threshold value, among the plurality of processing parameters; and the controller is further configured to predict whether or not the shot peening device will become abnormal in future based on a temporal change in a value of the specific parameter. 2. The management device according to claim 1 , wherein the controller predicts that the shot peening device will become abnormal in future when the value of the specific parameter indicates an increasing tendency or a decreasing tendency. 3. The management device according to claim 2 , wherein the shot peening device includes components respectively associated with the plurality of processing parameters, and wherein the controller predicts whether or not a component associated with the specific parameter will become abnormal in future. 4. The management device according to claim 3 , wherein the controller predicts a time when the inspection result indicates an abnormality based on a temporal change in the inspection result. 5. The management device according to claim 4 , wherein the controller determines whether or not a sudden abnormality has occurred in the shot peening device based on the inspection result. 6. The management device according to claim 3 , wherein the controller determines whether or not a sudden abnormality has occurred in the shot peening device based on the inspection result. 7. The management device according to claim 2 , wherein the controller predicts a time when the inspection result indicates an abnormality based on a temporal change in the inspection result. 8. The management device according to claim 7 , wherein the controller determines whether or not a sudden abnormality has occurred in the shot peening device based on the inspection result. 9. The management device according to claim 2 , wherein the controller determines whether or not a sudden abnormality has occurred in the shot peening device based on the inspection result. 10. The management device according to claim 1 , wherein the shot peening device includes components respectively associated with the plurality of processing parameters, and wherein the controller predicts whether or not a component associated with the specific parameter will become abnormal in future. 11. The management device according to claim 10 , wherein the controller predicts a time when the inspection result indicates an abnormality based on a temporal change in the inspection result. 12. The management device according to claim 11 , wherein the controller determines whether or not a sudden abnormality has occurred in the shot peening device based on the inspection result. 13. The management device according to claim 10 , wherein the controller determines whether or not a sudden abnormality has occurred in the shot peening device based on the inspection result. 14. The management device according to claim 1 , wherein the controller predicts a time when the inspection result indicates an abnormality based on a temporal change in the inspection result. 15. The management device according to claim 14 , wherein the controller determines whether or not a sudden abnormality has occurred in the shot peening device based on the inspection result. 16. The management device according to claim 1 , wherein the controller determines whether or not a sudden abnormality has occurred in the shot peening device based on the inspection result. 17. The management device according to claim 16 , wherein the controller sets a normal range based on an inspection result of a workpiece processed normally, and determines that the sudden abnormality has occurred when the inspection result indicated by the inspection result data is out of the normal range. 18. The management device according to claim 1 , further comprising an output unit configured to output a prediction result by the controller. 19. A management method of managing a shot peening device that sequentially processes a plurality of workpieces under a processing condition including a plurality of processing parameters, the management method comprising: a step of acquiring inspection result data indicating an inspection result of each of the plurality of workpieces and processing condition data indicating the processing condition used for shot peening processing each of the plurality of workpieces, the inspection result including electromagnetic characteristics and residual stress before and after shot peening processing, the processing condition data measured by a sensor provided in the shot peening device; a step of selecting, as a specific parameter, a processing parameter of which an absolute value of a correlation coefficient between the inspection result and the processing parameter is larger than a correlation threshold value, among the plurality of processing parameters; and a step of predicting whether or not the shot peening device will become abnormal in future based on a temporal change in a value of the specific parameter. 20. A non-transitory computer-readable recording medium recording a management program that causes a computer to operate so as to manage a shot peening device that sequentially processes a plurality of workpieces under a processing condition including a plurality of processing parameters, the management program configured to cause a computer to execute: a step of acquiring inspection result data indicating an inspection result of each of the plurality of workpieces and processing condition data indicating the processing condition used for shot peening processing each of the plurality of workpieces, the inspection result including electromagnetic characteristics and residual stress before and after shot peening processing, the processing condition data measured by a sensor provided in the shot peening device; a step of selecting, as a specific parameter, a processing parameter of which an absolute value of a correlation coefficient between the inspection result and the processing parameter is larger than a correlation threshold value, among the plurality of processing parameters; and a step of predicting whether or not the shot peening device will become abnormal in future based on a temporal change in a value of the specific parameter.
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