A guidance system provides step-wise, real-time or near real-time video guidance to a cutting machine operator to efficiently cut up a lift into multiple products, where determining an efficient sequence of steps is laborious for an ordinary operator. The display can advantageously show the operator where to temporarily store various logs that are cut off from the lift, and how and when to reinsert them into the cutting machine for further cuts, whether by themselves, in side-by-side manner, and/or in stacks. Camera feedback can be used to ensure that the operator is properly positioning and orienting the lift/logs. The display can alternatively or additionally use simulation to guide the operator.

A method and a device for simulating a machining process of a workpiece on an NC-controlled machine tool by means of a self-learning artificial neural network. Process parameters both from a machining process on a real machine tool located in a manufacturing section and a digital machine model implemented in a simulation section are provided to the artificial neural network to learn the behavior of the machine tool including the tools and workpieces used and are reformatted into input parameters by means of mathematical transformation. By learning the behavior of the machining process, the artificial neural network ca, send output files back to the simulation software of the simulation section and optimally adapt the behavior of the digital machine model to the conditions of the real machine tool by adapting the simulation parameters and make it more efficient in order to optimize the machining process on the machine tool.

A CNC machining device (1) comprises a control console (3) and a CNC machine (5). A training assembly (33) for training operation of the CNC machining device includes a training control console (35) substantially identical to the control console (3) of the CNC machining device (1); a digital twin (36) of the CNC machine (5), comprising a simulator (37) configured to simulate the effect of commands from the training control console (35) on the CNC machine (5); and a display device (39) configured for a trainee to view the current state of the simulator (37).

When carrying out an industrial process or during the operation of an industrial system or machine, relevant data is to be detected without additionally loading the control of the industrial process or the system or machine in question. For this purpose, the invention provides a control system (1, 4, 5; 1, 4, 5; 1, 4, 5) with a real control (1; 1; 1) for controlling an industrial process, a system or a machine; a virtual control (4; 4; 4) for simulating the control of the industrial process, the system, or the machine; synchronization means for synchronizing the real control (1; 1; 1) and the virtual control (4; 4; 4); and a higher-level processor unit (5; 5; 5) for detecting and/or generating operating data and/or state data with respect to the process, the system, or the machine, wherein the operating data and/or state data is based on data originating from the virtual control (4; 4; 4). By requesting the data from the virtual control (4; 4; 4), the real control (1; 1; 1) is not additionally loaded.

Provided is a monitoring device capable of easily ascertaining an abnormality. A monitoring device comprises: an acquisition unit which acquires actual operation data (53a) from a control device which controls an actual machine; a storage unit which stores reference operation data indicating reference operation of the actual machine, first related information and second related information; a timing chart generation unit which generates an actual operation timing chart and a reference operation timing chart, and displays the timing charts on a display device; and a simulation data generation unit which generates simulation data of a reference image and a real image.

A machine learning device acquires from a numerical controller information relating to machining when the machining is performed, and further acquires an actual delay time due to servo control and due to machine movement which are caused in the machining when the machining is performed. Then, the device performs supervised learning using the acquired machining-related information as input data, and using the acquired actual delay time due to servo control and due to machine movement as supervised data, and constructs a learning model, thereby predicting the machine delay time caused in a machine with high precision.

An interference determination method for machine tools which determines whether or not there will be interference between elements that move relative to each other, the method including: a setting procedure for setting a machine tool model obtained by combining the shape model of each of the elements including a work model corresponding to the work; a measurement procedure for measuring the position of the work attached to the work attachment part; a correction procedure for acquiring, at a predetermined timing, the position of the work measured in the measurement procedure, and correcting the machine tool model set in the setting procedure; and a determination procedure for determining whether or not there will be interference between the elements on the basis of the machine tool model corrected in the correction procedure.

A consequence determining device for assisting an operator of an automation system, where the automation system implements a process flow that is displayed to the operator through a number of linked graphical objects representing elements in the process flow. The device obtains current status data of the current operation of the automation system, where the current status data includes current automation system settings, receives a simulation selection from the operator, which simulation selection involves a selection of a simulation with automation system settings that differ from the automation system settings used in the current operation, determines a difference in operation between the automation system as operated with the current automation system settings and the simulation automation system settings and displays the difference through manipulating graphical objects corresponding to elements in the process flow that experience the difference in operation.

An evaluation device for evaluating a result of machining includes a numerical control simulation unit that simulates a numerical control device, and outputs a position command to a drive shaft of the machine tool. Further, there is a servo control simulation unit that simulates the servo control device based on the position command and outputs a torque command to the drive shaft; a drive shaft simulation unit that simulates the drive shaft based on the torque command, and a machining result evaluation unit that evaluates a machining result based on information corresponding to an operation of the drive shaft. The drive shaft simulation unit outputs position information indicating a position of the drive shaft, the servo control simulation unit performs feedback control of the drive shaft simulation unit by using the position information, and the machining result evaluation unit evaluates a machining result obtained when the feedback control is simulated.

The present disclosure provides a machining simulation device capable of obtaining a machine-tool transfer function without requiring data collection and expert knowledge. The machining simulation device includes: a transmission characteristic generation unit that generates a transmission characteristic of a machine tool; and a simulation execution unit that simulates behavior of the machine tool by using the transmission characteristic. The transmission characteristic generation unit includes: a control information acquisition unit that acquires motor information and a control parameter of a motor control system of the machine tool; a motor characteristic calculation unit that calculates a motor characteristics based on the motor information; a control characteristic calculation unit that calculates a control characteristic of the motor control system on the basis of the control parameter; and a transmission characteristic calculation unit that calculates the transmission characteristic satisfying a predetermined requirement on the basis of the motor characteristic and the control characteristic.