Automated inspection system
US-2024420305-A1 · Dec 19, 2024 · US
US2022057789A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2022057789-A1 |
| Application number | US-202017413417-A |
| Country | US |
| Kind code | A1 |
| Filing date | Jan 30, 2020 |
| Priority date | Feb 15, 2019 |
| Publication date | Feb 24, 2022 |
| Grant date | — |
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A manufacturing monitoring assistance device includes: a model creation unit creating a computation model when a product as a sample is normal, based on a three-dimensional form acquired from the product; a simulation unit creating a corrective computation model when the product is abnormal, by adding a sample of an abnormal portion in the product to the created computation model, and performing a simulation on each of the computation model and the corrective computation model; and a monitoring method determination unit determining a method for monitoring a manufacturing process for the product, based on an abnormality index being a difference between an output from a sensor as a result of the simulation performed on the computation model and an output from a sensor as a result of the simulation performed on the corrective computation model, and causing an output device to display the determined method and the abnormality index.
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We claim: 1 . A manufacturing monitoring assistance device comprising: a model creation unit configured to create a computation model in a case where a product as a sample is normal, based on a three-dimensional form acquired from the product; a simulation unit configured to create a corrective computation model in a case where the product is abnormal, by adding a sample of an abnormal portion in the product to the created computation model, and to perform a simulation on each of the computation model and the corrective computation model; and a monitoring method determination unit configured to determine a method for monitoring a manufacturing process for the product, based on an abnormality index being a difference between an output from a sensor as a result of the simulation performed on the computation model and an output from a sensor as a result of the simulation performed on the corrective computation model, and to cause an output device to display the determined method and the abnormality index. 2 . The manufacturing monitoring assistance device according to claim 1 , wherein the product comprises a plurality of members welded together, and the manufacturing process comprises a welding process. 3 . The manufacturing monitoring assistance device according to claim 1 , wherein the model creation unit acquires a surface form of the product from one or more cameras, and creates the computation model, based on the acquired surface form. 4 . The manufacturing monitoring assistance device according to claim 1 , wherein the model creation unit acquires a density distribution of the product from an X-ray computed tomography apparatus, and creates the computation model, based on the acquired density distribution. 5 . The manufacturing monitoring assistance device according to claim 2 , wherein the simulation unit accepts entries, by user, of a state of an abnormality in the product, a position of the abnormality in the product, a condition of occurrence of the abnormality, and a degree of importance of the abnormality in association with a sort of the product, and regards the accepted state of the abnormality as the sample of the abnormal portion. 6 . The manufacturing monitoring assistance device according to claim 5 , wherein the simulation unit accepts entries, by the user, of measurement values by the sensors, placeable positions of the sensors, a number of the sensors used, and a cost in association with types of the sensors, and regards the accepted types of the sensors as candidates for the sensors in the simulations. 7 . The manufacturing monitoring assistance device according to claim 6 , wherein the monitoring method determination unit causes the output device to display a sensor placement as the determined method, and the abnormality index corresponding to the sensor placement. 8 . The manufacturing monitoring assistance device according to claim 7 , wherein the monitoring method determination unit determines the sensor placement that maximizes a difference obtained by subtracting the cost from the abnormality index. 9 . A manufacturing monitoring assistance method implemented by a manufacturing monitoring assistance device, the manufacturing monitoring assistance method comprising: causing a model creation unit of the manufacturing monitoring assistance device to create a computation model in a case where a product as a sample is normal, based on a three-dimensional form acquired from the product; causing a simulation unit of the manufacturing monitoring assistance device to create a corrective computation model in a case where the product is abnormal, by adding a sample of an abnormal portion in the product to the created computation model, and to perform a simulation on each of the computation model and the corrective computation model; and causing a monitoring method determination unit of the manufacturing monitoring assistance device to determine a method for monitoring a manufacturing process for the product, based on an abnormality index being a difference between an output from a sensor as a result of the simulation performed on the computation model and an output from a sensor as a result of the simulation performed on the corrective computation model, and to cause an output device to display the determined method and the abnormality index. 10 . A non-transitory computer-readable storage medium including a manufacturing monitoring assistance program stored therein, the manufacturing monitoring assistance program, when executed by one or more processors included in a manufacturing monitoring assistance device, causing: a model creation unit of the manufacturing monitoring assistance device to execute processing of creating a computation model in a case where a product as a sample is normal, based on a three-dimensional form acquired from the product; a simulation unit of the manufacturing monitoring assistance device to execute processing of creating a corrective computation model in a case where the product is abnormal, by adding a sample of an abnormal portion in the product to the created computation model, and performing a simulation on each of the computation model and the corrective computation model; and a monitoring method determination unit of the manufacturing monitoring assistance device to execute processing of determining a method for monitoring a manufacturing process for the product, based on an abnormality index being a difference between an output from a sensor as a result of the simulation performed on the computation model and an output from a sensor as a result of the simulation performed on the corrective computation model, and causing an output device to display the determined method and the abnormality index.
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