Data collection system, data collection apparatus, data collection method, and data collection program

1 . A data collection system comprising:

a first substrate processing apparatus having a first processing space,

a second substrate processing apparatus having a second processing space different from the first processing space, and

a data collection apparatus connected to the first substrate processing apparatus and the second substrate processing apparatus, the data collection apparatus including a processor, wherein

the data collection apparatus is configured to:

compare observed data observed when substrates having the same or similar shapes are processed under the same processing conditions in the first processing space and the second processing space, respectively, and calculate a correction amount for correcting the observed data observed when being processed in the second processing space, and

correct, based on the correction amount, the observed data observed when being processed while changing a processing condition in the second processing space and collect the corrected observed data as the observed data observed when being processed in the first processing space,

wherein the second substrate processing apparatus is additionally provided with a sensor that is not installed in the first substrate processing apparatus.

2 . The data collection system according to claim 1 , wherein

the first processing space is the same as a reference processing space,

the data collection apparatus is further configured to calculate a calibration amount based on a machine difference from observed data observed when substrates having the same or similar shapes are processed under the same processing conditions in the reference processing space and the first processing space, respectively, and

the observed data observed when being processed in the first processing space to be compared with when the data collection apparatus calculates the correction amount is observed data calibrated based on the calibration amount.

3 . The data collection system according to claim 1 , wherein

the data collection apparatus collects measured data detected by the additionally installed sensor when searching for the processing condition by processing substrates while changing the processing condition in the second processing space.

4 . The data collection system according to claim 1 , wherein

the second substrate processing apparatus includes at least one of

a substrate processing apparatus additionally provided with a sensor configured to measure plasma in the second processing space,

a substrate processing apparatus additionally provided with a sensor configured to measure a consumption amount of a component in the second processing space, or

a substrate processing apparatus additionally provided with a sensor configured to measure a particle in the second processing space.

5 . The data collection system according to claim 3 , wherein

when searching for the processing condition by processing substrates while changing the processing condition in the second processing space, the data collection system displays measured data measured by the additionally provided sensor.

6 . The data collection system according to claim 1 , wherein the data collection apparatus is further configured to perform a learning process on a virtual measurement model, using, as input data, the corrected observed data collected by the data collection apparatus and using, as ground truth data, the measured data collected by the data collection apparatus.

7 . The data collection system according to claim 6 , wherein

the first substrate processing apparatus includes the learned virtual measurement model, and

the first substrate processing apparatus displays measurement data predicted by inputting the observed data observed when being processed in the first processing space into the learned virtual measurement model.

8 . The data collection system according to claim 6 , wherein the data collection apparatus is further configured to perform a learning process on a shape simulation model, using, as input data, the corrected observed data collected by the data collection apparatus, the measured data collected by the data collection apparatus, and the processing condition for processing the substrates in the second processing space, and using, as ground truth data, shape data of processed substrates obtained by processing the substrates while changing the processing condition in the second processing space.

9 . The data collection system according to claim 8 , further comprising:

the learned shape simulation model,

wherein the data collection apparatus is further configured to, when searching for the processing condition by processing substrates while changing the processing condition in the second processing space, narrow processing conditions to cause shape data of a processed substrate predicted by the learned shape simulation model to approach target shape data.

10 . The data collection system according to claim 9 , wherein the data collection apparatus is further configured to narrow processing conditions for collecting corrected observed data and measured data used for performing a relearning process on the learned shape simulation model, based on prediction accuracy of the shape data of the processed substrate predicted by the learned shape simulation model.

11 . The data collection system according to claim 9 , wherein the data collection apparatus is further configured to, when searching for the processing condition by processing substrates while changing the processing condition in the second processing space, predict the shape data of the processed substrate using the learned shape simulation model, thereby determining whether a processing condition under which a difference from the target shape data is less than a predetermined threshold value can be found.

12 . The data collection system according to claim 8 , wherein

the first substrate processing apparatus includes the learned shape simulation model, and

the first substrate processing apparatus displays shape data of a processed substrate predicted by inputting, into the learned shape simulation model, the observed data observed when being processed in the first processing space, measurement data predicted by inputting the observed data into the learned virtual measurement model, and the processing condition for processing the substrate in the first processing space.

13 . The data collection system according to claim 1 , wherein the sensor is configured to measure data related to the second substrate processing apparatus.

14 . A data collection apparatus for being connected to a first substrate processing apparatus having a first processing space and a second substrate processing apparatus having a second processing space different from the first processing space, the data collection apparatus comprising:

a processor; and

a memory storing program instructions that cause the processor to:

compare observed data observed when substrates having the same or similar shapes are processed under the same processing conditions in the first processing space and the second processing space, respectively, and calculate a correction amount for correcting the observed data observed when being processed in the second processing space, and

correct, based on the correction amount, the observed data observed when being processed while changing a processing condition in the second processing space based on the correction amount, and collect corrected observed data as the observed data observed when being processed in the first processing space,

wherein the second substrate processing apparatus is additionally provided with a sensor that is not installed in the first substrate processing apparatus.

15 . A data collection method for a data collection apparatus connected to a first substrate processing apparatus having a first processing space and a second substrate processing apparatus having a second processing space different from the first processing space, the data collection apparatus including a processor, the data collection method comprising:

comparing observed data observed when substrates having the same or similar shapes are processed under the same processing conditions in the first processing space and the second processing space, respectively, and calculating a correction amount for correcting the observed data observed when being processed in the second processing space, and

correcting, based on the correction amount, the observed data observed when being processed while changing a processing condition in the second processing space, and collecting corrected observed data as the observed data observed when being processed in the first processing space,

wherein the second substrate processing apparatus is additionally provided with a sensor that is not installed in the first substrate processing apparatus.

16 . A non-transitory computer-readable recording medium having stored therein a data collection program for causing a computer of a data collection apparatus connected to a first substrate processing apparatus having a first processing space and a second substrate processing apparatus having a second processing space different from the first processing space, the data collection apparatus including a processor, to perform:

comparing observed data observed when substrates having the same or similar shapes are processed under the same processing conditions in the first processing space and the second processing space, respectively, and calculating a correction amount for correcting the observed data observed when being processed in the second processing space, and

correcting, based on the correction amount, the observed data observed when being processed while changing a processing condition in the second processing space, and collecting corrected observed data as the observed data observed when being processed in the first processing space,

wherein the second substrate processing apparatus is additionally provided with a sensor that is not installed in the first substrate processing apparatus.