Data-acquisition-instruction generating method, data-acquisition-instruction generating device, and computer-readable recording medium

A data-acquisition-instruction generating method comprising:

• accepting, via an input unit from a user, information of requisite density wherein a combination of a plurality of control parameters is used for operating a device on which data is measured, a measurement target region includes data that is to be measured by changing each of the control parameters and the requisite density is a required density of measured data in the measurement target region, by a processor;
• first generating a plurality of change curves for the combination of control parameters that represents the requisite density, by the processor;
• second generating a data acquisition instruction to measure data by operating the device by changing the combination of control parameters according to the generated change curves in an order in which one control parameter among the control parameters is changed and then another control parameter among the control parameters is changed, by the processor;
• and
• third generating a model that predicts measured data on the device when changing the control parameters, based on measured data that are acquired according to the data acquisition instruction, by the processor.

A data-acquisition-instruction generating device comprising:

• a processor configured to:
• accept, via an input unit from a user, information of requisite density wherein a combination of a plurality of control parameters is used for operating a device on which data is measured, a measurement target region includes data that is to be measured by changing each of the control parameters and the requisite density is a required density of measured data in the measurement target region;
• generate a plurality of change curves for the combination of control parameters that represents the requisite density;
• generate a data acquisition instruction to measure data by operating the device by changing the combination of control parameters according to the generated change curves in an order in which one control parameter among the control parameters is changed and then another control parameter among the control parameters is changed;
• and
• generate a model that predicts measured data on the device when changing the control parameters, based on measured data that are acquired according to the data acquisition instruction.