A machining time estimating apparatus is stored with mechanical configuration-time data, which are control parameters relating to respective machining times of a plurality of numerically-controlled machine tools, and is provided with a machining time estimation unit, configured to estimate the machining time required for machining performed based on an NC command in a first one of the plurality of numerically-controlled machine tools, and a mechanical configuration difference time calculation unit configured to calculate machining times required for machining performed based on the NC command in the other ones of the plurality of numerically-controlled machine tools than the first numerically-controlled machine tool, based on the respective mechanical configuration-time data of the plurality of numerically-controlled machine tools.

A camera photographs a part to be estimated, which is produced by cutting a sheet metal in advance, and a dimension reference marker. An image processing unit generates edge data by extracting an edge of the part photographed by the camera, and enlarges or reduces the edge data based on a size of the dimension reference marker photographed by the camera such that a size of the edge corresponds to an actual size of the part. A machining time calculation unit calculates a length of a cutting line for cutting out the part from the sheet metal based on the edge of the edge data corresponding to the actual size of the part, and calculates a machining time for producing the part by cutting the cutting line in accordance with a material and a thickness of the sheet metal.

A machining program editing device calculates an editable time for a block of a machining program, makes editable only those of a plurality of blocks in the machining program which have the editable time left remaining, and locally writes only edited portions into a machining program used for control.

A machine learning device of a finish-machining amount prediction apparatus observes, as state variables expressing a current state of an environment, finish-machining amount data indicating finish-machining amounts of the respective parts of a component and accuracy data indicating the accuracy of the respective parts of a machine, to which the component is attached. Then, the machine learning device acquires determination data indicating propriety determination results of the accuracy of the respective parts of the machine, to which the component after being subjected to finish machining is attached. After that, the machine learning device learns the finish-machining amounts of the respective parts of the component in association with the accuracy data by using the state variables and the determination data.

A machining control device according to an aspect of the present disclosure includes: a machining step extraction unit that analyzes a machining program to extract a plurality of machining steps in each of which a feed rate of a tool is changeable; a precedence setting unit that sets precedence to the machining steps extracted by the machining step extraction unit; a machining time period calculation unit that calculates a machining time period of each of the machining steps based on the machining program; and a set value changing unit that changes set values of the feed rates of the tools in descending order of the precedence set by the precedence setting unit such that a sum of the machining time periods calculated by the machining time period calculation unit approaches a target value.

A numerical controller performs control for changing a tool mounted on a spindle to another tool stored in a tool magazine based on a machining program. The numerical controller analyzes a command by a block of the machining program, predicts a time required for machining by the analyzed command, and selects a tool changeable before a tool change command, during tool selection, based on the predicted time.

To highly accurately predict remaining machining time required for cutting, a controller of a machining time prediction device includes a storage in which a machining program is stored, a simulator that performs a simulation in which a cutting machine cuts a workpiece in accordance with the machining program to generate a control pattern in which control information of a spindle and a holder is recorded, a machining time calculator that generates, based on the control pattern, a machining time table in which remaining machining time for each step of the machining program, a machining time acquirer that acquires a step of the machining program cutting of which is performed by the cutting machine at a current time point and acquires the remaining machining time for the step of the machining program, which has been acquired, from the machining time table, and a display controller that displays the remaining machining time that has been acquired by the machining time acquirer on a display screen.

A camera photographs a part to be estimated, which is produced by cutting a sheet metal in advance, and a dimension reference marker. An image processing unit generates edge data by extracting an edge of the part photographed by the camera, and enlarges or reduces the edge data based on a size of the dimension reference marker photographed by the camera such that a size of the edge corresponds to an actual size of the part. A machining time calculation unit calculates a length of a cutting line for cutting out the part from the sheet metal based on the edge of the edge data corresponding to the actual size of the part, and calculates a machining time for producing the part by cutting the cutting line in accordance with a material and a thickness of the sheet metal.

Prediction of a machining time at higher accuracy considering a machine delay generated in a machine is allowed by a numerical controller of the invention. The numerical controller includes a reference machining time prediction unit for predicting a reference machining time corresponding to a machining time not considering a delay time of servo control and machine motion based on the machining program, a program analysis unit for extracting a combination of at least one program command included in the machining program, a data storage unit for storing information related to an actual delay time of servo control and machine motion measured for each combination of program command types, a correction time calculation unit for calculating a correction time for correction of the reference machining time based on the combination of the program commands extracted by the program analysis unit and the information stored in the data storage unit, and a machining time prediction unit for calculating a predicted machining time obtained by correcting the reference machining time using the correction time.

A machining program editing device calculates an editable time for a block of a machining program, makes editable only those of a plurality of blocks in the machining program which have the editable time left remaining, and locally writes only edited portions into a machining program used for control.