Abstract: A numerical control device as a machining operation assisting device extracts an operation item whose necessity changes depending on the operating state of a machine tool, determines the necessity of the operation item based on the operating condition of the machine tool, adds the necessity to the operation item, and determines the presence or absence of an operation to be executed by an operator based on the necessity added to the operation item. Then, a screen of a display unit of the numerical control device as the machining assisting device, a terminal device of the operator, or a computer managing the machine tool in a factory, for example, is informed of the determined necessity of the operation item.

Abstract: An optimal timing to perform dressing on a grindstone is detected easily. A machine learning device includes: an input data acquisition unit that acquires input data including an arbitrary grinding condition for an arbitrary work material in a grinding process of an arbitrary grinding machine and grindstone information related to an arbitrary grindstone including at least a degree of necessity of dressing process indicating a degree of necessity of dressing before a grinding process is performed under the grinding condition; a label acquisition unit that acquires label data indicating the degree of necessity of dressing process of the grindstone after the grinding process is performed under the grinding condition included in the input data; and a learning unit that executes supervised learning using the input data acquired by the input data acquisition unit and the label data acquired by the label acquisition unit, and generates a learned model.

Abstract: A control device includes a setting detection unit that detects a setting operation on a value of a setting item related to control of the industrial machine and a notification unit configured to notify information related to the setting operation. The setting detection unit can detect a setting operation caused by execution of an MDI program, a setting operation caused by execution of a machining program, a setting operation caused by an external signal, and a setting operation caused by a higher-level management server. The notification unit provides a notification using a guidance message, a popup window, voice, an external signal, or information transmission via a network.

Abstract: In order to improve an operation rate of an industrial machine, a notification device includes: a determination unit that determines whether an operation of an industrial machine is interrupted; and a notification unit that, when it is determined that the operation of the industrial machine is interrupted, provides interruption information indicating that the operation of the industrial machine is interrupted before the operation of the industrial machine is interrupted.

Abstract: A controller displays a display-info-type selection screen displaying, for each of a plurality of split regions due to splitting of a display screen, as a list, a first displaying and a second displaying in association, the first displaying enabling visual specification of a position of the corresponding split region on the display screen, the second displaying indicating a list of information types displayable in the split region. The controller receives a selection operation to an information type included in the second displaying, selects, based on the selection operation, the information type to be displayed in the split region, and displays, based on the selection of the information type, information according to a predetermined information type in each of the plurality of split regions.

Abstract: A controller includes an offset value storage unit configured to store a plurality of tool offset values associated with a plurality of tools, respectively, an adjustment value storage unit configured to store an adjustment value used to adjust the plurality of tool offset values, and a calculation unit configured to calculate a plurality of adjustment offset values obtained by adjusting the plurality of tool offset values using the adjustment value.

Abstract: A controller includes a display control unit configured to switch information to be displayed in each of a plurality of split regions due to splitting of a display screen, an editing-screen display unit configured to display an editing screen displaying, for each of the plurality of split regions, as a list, a first displaying and a second displaying in association, the first displaying enabling visual specification of a position of the corresponding split region on the display screen, the second displaying indicating a list of information types displayable in the split region, and an editing unit configured to receive an editing operation to the second displaying, and edit, based on the editing operation, the list of information types displayable in the split region.

Abstract: Predicting a state of a mold after molding upon injection molding. A machine learning device includes: an input data acquiring unit that acquires input data including any molding condition including at least a type of resin, a type of additive, a blending ratio of the additive, and a temperature of the resin in molding any article molded by any injection molding machine, and state information indicating a wear amount of a mold before molding at the molding conditions; a label acquiring unit that acquires label data indicating state information of the mold after molding at the molding conditions included in the input data; and a learning unit that executes supervised learning using the input data acquired by the input data acquiring unit and the label data acquired by the label acquiring unit, and generates a learned model.

Abstract: During machining of a workpiece, a gripping force adjustment device takes into account the state of the machining and the state of the workpiece in order to set a more appropriate gripping force. The gripping force adjustment device acquires data indicating a machining state implemented by a machine tool and data relating to a gripping state realized on the workpiece by a jig, and creates data to be used in machine learning on the basis of the acquired data. The gripping force adjustment device then executes machine learning processing relating to the gripping force exerted on the workpiece by the jig in the environment in which the machine tool machines the workpiece on the basis of the created data.

Abstract: A cutting fluid amount adjusting device acquires at least data indicating a machining state of a machine tool and data relating to cutting fluid supplied from a cutting fluid supplying device, creates data used in machine learning based on the acquired data, and executes, based on the created data, processing of the machine learning relating to the discharge amount of the cutting fluid from a cutting fluid nozzle in an environment in which machining of a workpiece by the machine tool is performed.

Abstract: A control device is for controlling an industrial machine. The control device has a display control unit that divides a screen displayed on a display unit into a plurality of regions and displays representations, on the regions, concerning respective motion executions of the machine, a detection unit that, when a plurality of the representations are displayed in a combination, detects operation of a user on the machine or detects a time period in which a display pattern indicating the combination of representations has been displayed without change, and a saving unit that, when the detected operation is a predetermined operation having been set in advance or the display time period of the detected display pattern is equal to or longer than a predetermined time period having been set in advance, saves the display pattern when the detection has been performed as an intended display pattern.

Abstract: The objective of the present invention is to ascertain easily a positional relationship between a tool and a workpiece in a machining program, in order to stop a machine tool in accordance with the purpose. This control device for controlling a machine tool on the basis of a machining program is provided with an extracting unit for extracting, from blocks included in the machining program, a block of the machining program in which the tool and the workpiece in the machine tool are in a predetermined state, as a stopping position candidate, in accordance with the purpose of stopping the machine tool.

Abstract: A control device is provided with: an extraction unit which extracts, on the basis of a machine configuration including the number of axes and/or the number of systems in a machine tool, a plurality of task items included in setup work for the next process in the machine tool, as essential settings or optional settings; a determination unit which dynamically determines, in accordance with operation details of setup work performed on the machine tool during a period from the completion of the latest process by the machine tool to the present point in time, whether each of the plurality of task items extracted as an essential setting or optional setting corresponds to an essential setting or an optional setting; and an action control unit which does not permit a process action of the machine tool if there is an essential setting which has not been completed or updated.

Abstract: Operation of an NC device can be restricted during the time until processing requested by a transmitting side is completed by a receiving side. An information processing device communicatively connected to a controller of an industrial machine including a processing request transmission unit that transmits a processing request to the controller; a processing completion notification management unit that detects a processing completion notification, transmitted from the controller, which notifies of completion of processing according to the processing request; and an operation restriction control unit that restricts processing request operation of the controller for a next operation until the processing completion notification is detected by the processing completion notification management unit.

Abstract: A molding shrinkage ratio is predicted according to molding conditions set in advance in designing a mold. A machine learning device includes an input data acquiring unit that acquires input data including any molding condition including a type of resin, a type of additive, a blending ratio of the additive, a surface temperature of a mold, and a product of a holding pressure and a holding pressure time for any article molded by any injection molding machine, a label acquiring unit that acquires label data indicating a molding shrinkage ratio in a flow direction and a molding shrinkage ratio in a vertical direction perpendicular to the flow direction of a resin measured of the article molded at the molding condition, and a learning unit that executes supervised learning using the input data and the label data, and generates a learned model.

Abstract: A machine learning device includes an input data acquisition unit which acquires input data containing a machining condition for any wire-cut electrical discharge machining applied to any workpiece by any wire-cut electrical discharge machining machine and consumables information including the degree of degradation of at least one of an electrode wire, ion exchange resin, a power supply die, and an electrode wire guide roller before wire-cut electrical discharge machining. The device also includes a label acquisition unit which acquires label data indicating the degree of degradation of at least one of the electrode wire, the ion exchange resin, the power supply die, and the electrode wire guide roller after the wire-cut electrical discharge machining under the machining condition contained in the input data, and a learning unit which uses the input data and the label data to execute supervised learning, thereby generating a learned model.

Abstract: The state of a cutting fluid after machining is predicted. A machine learning device includes: an input data acquisition unit that acquires input data including arbitrary machining conditions for an arbitrary work in machining by an arbitrary machine tool and state information indicating a state of a cutting fluid before machining is performed under the machining conditions; a label acquisition unit that acquires label data indicating state information of the cutting fluid after the machining is performed under the machining conditions included in the input data; and a learning unit that executes supervised learning using the input data acquired by the input data acquisition unit and the label data acquired by the label acquisition unit to generate a learned model.

Abstract: A warm-up evaluation device includes: a temperature data acquisition unit that acquires temperature data before warm-up operation when a machine performs the warm-up operation; a parameter value acquisition unit that acquires parameter values set in a program for performing the warm-up operation; an evaluation data acquisition unit that acquires evaluation data for evaluating a result of the warm-up operation; a learning unit that learns a machine learning model which receives the temperature data and the parameter values as an input and outputs the evaluation data on the basis of a plurality of warm-up operations performed by the same or the same types of machines; and an evaluation unit that inputs candidates for the parameter values to the machine learning model together with the temperature data and outputs the evaluation data when the same or the same types of machines perform a new warm-up operation.

Abstract: A numerical controller that collects data from an industrial machine and writes data into a storage medium includes: an interval setting unit that sets a time interval between cycles in which one cycle involves collection of operation information indicating an operating state of the industrial machine and writing of the collected operation information to the storage medium; a reduced service life calculation unit that calculates a service life of the number of writes of the storage medium reduced by the writing on the basis of the set time interval as a reduced service life; a determining unit that determines whether the calculated reduced service life exceeds a prescribed threshold; and a signal output unit that outputs a signal indicating that the reduced service life exceeds the prescribed threshold when it is determined that the reduced service life exceeds the prescribed threshold.