Provided is a simulation technique that allows the program verification to be more efficiently performed. The simulation system includes a memory that stores a program to control one or more devices; a processor that executes simulation of an operation of the one or more devices enabled by the program; and a display that displays a simulation screen. The simulation screen includes a display of a three-dimensional (3D) space for display of a position of the one or more devices in the 3D space, and a display of a value of one or more variables referred to by the program. The simulation screen updates, for each step of the program, the display of the 3D space and the display of the value of the one or more variables.

A machine tool including a fixed cover and a movable cover for covering at least part of a machining region includes a cover control device that includes a driving circuit for driving the movable cover, an abnormality detection device that detects an abnormality while the movable cover is driven, a self-diagnosis device that performs evaluation on whether the abnormality detection device is normal, and an output device that outputs a result of the evaluation by the self-diagnosis device. The self-diagnosis device is configured to perform the evaluation on whether the abnormality detection device is normal based on an operating state of the abnormality detection device at a time when a pseudo abnormality is generated on the movable cover by driving the movable cover via the driving circuit.

An apparatus includes a debugger circuit, debug pins, and a test controller circuit. The test controller circuit is configured to, in a programming mode, determine a subset of the debug pins used in programming the apparatus. The test controller circuit is further configured to save a designation of the subset of the debug pins. The test controller circuit is further configured to, in a test mode subsequent to the programming mode, use the designation to route the subset of the debug pins used in programming the apparatus to the debugger circuit for debug input and output with the server.

Provided is a numerical controller having a function for dynamically analyzing a machining program. The numerical controller provided with a subprogram calling function that calls a subprogram in a machining program includes: a program interpretation unit that notifies information related to the call of the subprogram when the subprogram is called; a program calling information storage unit that aggregates and stores the information related to the call of the subprogram that is notified by the program interpretation unit; a program execution unit that notifies information related to execution of a subprogram when executing the subprogram; and a program execution information storage unit that aggregates and stores the information related to the execution of the subprogram that is notified by the program execution unit.

Disclosed is an approximate physical simulation integrated debugging method based on digital twinning, which includes the following steps of: a production line simulation model building step, a twinning step, a system debugging step, a hardware-in-the-loop debugging step, and a device-in-the-loop debugging step. The approximate physical simulation integrated debugging system based on digital twinning includes a production line simulation model building module, a twinning module, a system debugging module, a hardware-in-the-loop debugging module, and a device-in-the-loop debugging module. According to the approximate physical simulation integrated debugging method and system based on digital twinning, since a local component twin after being successfully debugged is replaced with an entity component, when a problem occurs after replacement, only the local component twin needs to be debugged and optimized again, thus saving time and reducing cost.

A method for diagnosing a user program for controlling movement and positioning tasks of drives operated to execute a movement path of an apparatus, wherein the apparatus and movement path are depicted as a three-dimensional view in a first output element, to depict the movement path, a graphic element formed as a polygonal chain is generated for movement sections, which is operated in a force sensitive manner so that a user can select a location on the polygonal chain with a pointer device and obtain a display of an output field with a line of code that has the program instruction that is responsible through the execution for reaching the location within the movement section of the apparatus or position vector, and a recording method was performed in which the current position vector and the associated line of code or a code line index are recorded at sampling time points.

A method (1000) of diagnosis of operation of a machine tool (10, 100) that includes one or more axes (X, Y, Z) moved by one or more actuators (101, 102, 104) and at least one sensor (30) coupled to the machine tool (10, 100), the method (1000) comprising operations of: generating (1200) a programming sequence of movement of the axes (X, Y, Z) of the machine tool (10, 100); controlling (1210) the movement of the axes (X, Y, Z) of the machine tool (10, 100) according to the programming sequence; receiving (1220) a read-out signal (S) of the at least one sensor (30) coupled to the machine tool (10, 100); and processing (1230) the read-out signal (S) of the at least one sensor (30) coupled to the machine tool (10, 100). The programming sequence comprises instructions that are such as to apply (T) at least one single impulsive variation of a kinematic quantity that regards one or more actuators (101, 102, 104). The operation (1230) of processing the read-out signal (S) comprises processing a response of the machine tool (10, 100) to at least one single impulsive variation. The operation (1230) of processing the read-out signal (S) comprises artificial-neural-network processing (206) via one or more artificial neural networks (206, 2060) configured for analysing operating profiles in particular, one or more signals indicative of the status of the machine tool (W) in the read-out signal (S).

This system is a data collection system collecting a robot operation-related data/signal from a robot controller. The data collection system includes a data collection condition setting unit setting a collection condition of the robot operation-related data/signal from the robot controller and a data storage unit storing the robot operation-related data/signal collected from the robot controller. A shared memory inside which the data storage unit and the data collection condition setting unit are formed is formed in a substrate which can be mounted on an expansion slot of the robot controller. According to this system, a data collection function can be post-installed to an existing robot controller so as to arbitrarily select and collect various data on the robot operation.

A computer program product providing an environment in which control software controlling at least one physical process is executed, wherein the control software is comprised of modular blocks termed actions, wherein the control software is defined through graph connections between the actions, wherein the computer program product provides for a monitoring functionality, wherein physical sub-processes of the at least one physical process influenced by an action may be monitored. A method for choosing which physical sub-processes are to be monitored is provided, wherein a user places a debug point on an action.

A system is provided for distributed execution of a sequence processing chain. The system comprises an interface adapted to set a measurement sequence for a plurality of measurement sites, each comprising a sequence runner. The system further comprises a sequencer repository adapted to be accessed locally from the plurality of measurement sites. Moreover, the system comprises a sequence state manager adapted to receive measurement sequence states from at least one sequence runner and further adapted to distribute the measurement sequence states to other sequence runners via a network. In this context, the measurement sequence states are associated with data and/or results through the sequence processing chain.