Provided is a control apparatus comprising a control unit configured to control a control target by a control model machine-learned so as to output an operation amount of the control target according to a state of equipment provided with the control target; a simulation unit configured to simulate, by using a simulation model, the state of the equipment in a case where the operation amount, which is output by the control model, is given to the control target; and a stop unit configured to stop control of the control target by the control model, based on a simulation result.

The present disclosure relates to a mining machine adapted for extraction of material from a deposit and a method for controlling operation of such a mining machine. According to an embodiment, the mining machine includes a data handling unit and a control unit. The data handling unit is arranged to receive, from an external storage medium, a data file representative of a user-defined cutting path, and to send, to the control unit, data corresponding to a cutting path selected among the user-defined cutting path and one or more machine-predefined cutting paths. The control unit is configured to control operation of the mining machine using an automatic cutting cycle in accordance with the selected cutting path corresponding to the data received from the data handling unit.

This machine tool system uses a plurality of mobile robots to convey workpieces to a plurality of machine tools, the machine tool system being provided with: machine tool control unit that issues work requests to the machine tools; a mobile robot control unit that determines workable times for the mobile robots on the basis of the work requests; and a determining unit that compares the workable times which are for the mobile robots and respectively planned by the mobile robots, and causes the mobile robot with the fastest workable time to execute the requested work.

A method includes defining a manufacturing transformation for a mobile workpiece based on mobile workpiece state information of the mobile workpiece, where the manufacturing transformation is an automated operation to be performed on the mobile workpiece. The method includes selecting a set of one or more manufacturing systems from among the one or more manufacturing systems for the mobile workpiece based on the manufacturing transformation and manufacturing system state information associated with the one or more manufacturing systems, where the manufacturing system state information provides data related to at least one of availability, capability, and constraints of the of the one or more manufacturing systems. The method includes defining manufacturing process steps of the manufacturing transformation based on the set of one or more manufacturing systems. The method includes defining a location for performing the manufacturing process steps on the mobile workpiece.

The machining station can include a table; at least three robots each having a multi-axis mover secured to the table, and a gripper opposite the table, the robots being interspaced from one another on the table; and a controller. The controller controls the robots to hold a workpiece in a coordinated manner. The computer numerical command (CNC) machine-tool system machines the workpiece while the workpiece is held by the robots. The workpiece can be moved into and out from the machining station with a trolley which slidingly engages a trolley path formed within the table.

Provided is a deployment platform for deployment of an industrial application on an edge computing device, ECD, connected to the controller of a machine tool, MT, the deployment platform including a model management component, MMC, adapted to instantiate a generic machine tool model, GMTM, stored in a memory to provide a machine instance model, MIM, of the respective machine tool, MT, on the basis of a machine tool data report, MTDR, received by the model management component, MMC, from the edge computing device, ECD, of the respective machine tool, MT, and further adapted to convert generic data requirements, gR, of a generic industrial application into machine tool specific requirements, mtsR, using the machine instance model, MIM, of the respective machine tool, MT, wherein an instantiated industrial application for the machine tool, MT, is provided by instantiating the generic industrial application by extending its configuration data with machine tool specific requirements.

Learning related to a device having a driving unit is performed more easily. An information processing device includes: a storage unit that stores a machining program for operating a motor of a machine tool, a robot, or an industrial machine; and a generation unit that generates a learning program for performing learning based on operating characteristics of the motor by extracting a partial machining program including a characteristic element from the machining program stored in the storage unit.

A program analysis device divides a machining program into processes, obtains a command speed from the divided machining program for each process, and measures an actual speed of an axis for each process obtained when machining based on the machining program is performed. Then, the program analysis device calculates an integral value of the difference between the command speed and the actual speed, rearranges the order of the processes based on the calculated integral value, and creates screen data for displaying the sorted processes in order. Provided is an assistive technology for effectively improving the difference between the command speed of the machining program and the actual speed of an axis movement of a machine tool, based on the screen data.

A multi-scale data acquiring and processing device and method for an aluminum oxide production process. The device includes a production index and variable configuring module, a data acquiring module, a data storing module, a main control module, a display module, a data processing module and a data transmitting module. The main control module is used for emitting a command, acquiring production indexes and variables generated in the aluminum oxide production process by different process control devices, and is used for performing unified processing, storage and display on the data, and further the data is transmitted through a transmitting module to systems or devices using the data.

An industrial installation having an automated sheet metal bending cell and an automated magazine, having a spatial and functional organization for automating flows of materials entering and leaving the cell, aimed at increasing, in a reduced enclosure, autonomy of operation of the cell without human assistance, as well as flexibility and productivity of the cell, the installation including: a press brake; a bending robot; a rail, generally called a track, on which a carriage supporting the robot moves; a system for dropping off and retrieving parts during operation; a mechanical or optical system for controlling indexing of parts to be bent; a magazine or a set of racks for bending tools comprising punches and dies; at least one attachment device for grippers; a programming and monitoring system for the press brake; a control console; an automated magazine; and a supply area for parts to be bent.