A numerical control (NC) program is converted regardless of a machining form of a workpiece. An NC program conversion processing method is an NC program conversion processing method for converting a conversion source NC program that controls a first machining center into a conversion destination NC program that controls a second machining center, which includes: a determination step of determining a machining form of a workpiece by the conversion source NC program; a decision step of deciding a correction method to be one-direction correction or two-direction correction according to the determined machining form of the workpiece; and a conversion step of converting the conversion source NC program into the conversion destination NC program using the decided correction method.

A drive apparatus which controls a speed or a torque of a servo motor of a processing machine according to a command obtained by converting an external command input from outside includes a machine learning apparatus which learns appropriate conversion from the external command to the command. The machine learning apparatus includes: a state observing unit which observes the external command, the command, and a state of the processing machine or the servo motor as state variables that represent a present state of an environment; a determination data acquiring unit which acquires determination data indicating an evaluation result of processing by the processing machine; and a learning unit which learns the external command and the state of the processing machine or the servo motor, and the command, in association with each other using the state variables and the determination data.

A method includes receiving topic names from a metrology interface device, where the topic names correspond to data generated by metrology devices associated with a manufacturing operation. The method also includes accessing a data stream from the metrology interface device. The data stream includes converted metrology data (in a common format) from the metrology devices and corresponding topic names. The method further includes extracting first converted metrology data from the data stream based on a first topic name of the topic names. The first converted metrology data is generated by converting first metrology data from a first metrology device of the metrology devices to the first converted metrology data having the common format. The method also includes comparing the first converted metrology data to a specification, detecting a condition based on the comparison, and sending a command to a manufacturing device based on the condition.

A method includes receiving topic names from a metrology interface device, where the topic names correspond to data generated by metrology devices associated with a manufacturing operation. The method also includes accessing a data stream from the metrology interface device. The data stream includes converted metrology data (in a common format) from the metrology devices and corresponding topic names. The method further includes extracting first converted metrology data from the data stream based on a first topic name of the topic names. The first converted metrology data is generated by converting first metrology data from a first metrology device of the metrology devices to the first converted metrology data having the common format. The method also includes comparing the first converted metrology data to a specification, detecting a condition based on the comparison, and sending a command to a manufacturing device based on the condition.

A drive apparatus which controls a speed or a torque of a servo motor of a processing machine according to a command obtained by converting an external command input from outside includes a machine learning apparatus which learns appropriate conversion from the external command to the command. The machine learning apparatus includes: a state observing unit which observes the external command, the command, and a state of the processing machine or the servo motor as state variables that represent a present state of an environment; a determination data acquiring unit which acquires determination data indicating an evaluation result of processing by the processing machine; and a learning unit which learns the external command and the state of the processing machine or the servo motor, and the command, in association with each other using the state variables and the determination data.