Abstract: A controller acquires data related to a mechanical configuration, data related to a workpiece, and data related to an operating condition of an industrial machine, and creates machine learning data used for processing of machine learning based on the acquired data. A command is given to perform processing of machine learning for estimating data related to tension in a conveying section of the industrial machine based on the created machine learning data. Then, processing of machine learning for estimating data related to tension in the conveying section is performed based on this command. In this way, the controller can adjust tension of the conveying section according to a designated condition during actual operation without a tension sensor.

Abstract: Embodiments of the present application provide a method and a device for controlling train formation tracking, the method comprising: obtaining a current distance between a first train and a second train in a train formation, wherein the first train is adjacent to the second train and located behind the second train; determining a target tracking mode of the first train based on the current distance, wherein the target tracking mode is one of a speed tracking mode, a distance tracking mode and a braking mode; and tracking the second train, by the first train based on the target tracking mode. Tracking efficiency is improved according to the method of the embodiments of the present application.

Abstract: A machine learning device performs machine learning on a numerical control device which, when a first command including a corner portion, composed of two blocks in the machining program, generates a second command in which the two blocks are replaced with m or more blocks. The machine learning device comprises: a state information acquisition unit for acquiring state information including the first command, coordinate values of each block in the m or more blocks, and location information of the machining path and the machining time; an action information output unit for outputting action information; a reward output unit for outputting a reward value based on the inward turning amount in the corner portion; and a value function updating unit for updating a value function based on the value of the reward outputted from the reward output unit, the state information and the action information.

Abstract: A machine learning device performs machine learning on a numerical control device which, when a first command including a corner portion, composed of two blocks in the machining program, generates a second command in which the two blocks are replaced with m or more blocks. The machine learning device comprises: a state information acquisition unit for acquiring state information including the first command, coordinate values of each block in the m or more blocks, and location information of the machining path and the machining time; an action information output unit for outputting action information; a reward output unit for outputting a reward value based on the inward turning amount in the corner portion; and a value function updating unit for updating a value function based on the value of the reward outputted from the reward output unit, the state information and the action information.

Abstract: A numerical controller includes a motion start point determination unit that calculates a cycle motion start point where the screw thread cutting cycle is to be started, an acceleration/deceleration control unit that moves the tool from the cycle motion start point to a screw thread cutting start point with motions of a plurality of axes overlapped, and a control unit that controls motions of a machining device based on control instructions received from an instruction analysis unit and the acceleration/deceleration control unit. The cycle motion start point is a point from which acceleration or deceleration of a first axis and a second axis orthogonal to the first axis is started so as to make a speed of the first axis reach a specified cutting feed speed and to make a speed of the second axis substantially become zero at time of arrival at the screw thread cutting start point.

Abstract: A numerical controller includes a motion start point determination unit that calculates a cycle motion start point where the screw thread cutting cycle is to be started, an acceleration/deceleration control unit that moves the tool from the cycle motion start point to a screw thread cutting start point with motions of a plurality of axes overlapped, and a control unit that controls motions of a machining device based on control instructions received from an instruction analysis unit and the acceleration/deceleration control unit. The cycle motion start point is a point from which acceleration or deceleration of a first axis and a second axis orthogonal to the first axis is started so as to make a speed of the first axis reach a specified cutting feed speed and to make a speed of the second axis substantially become zero at time of arrival at the screw thread cutting start point.