Present embodiments include an automation control system including one or more processors and memories with an application stored on the one or more memories and implemented by the one or more processors. The application includes an interface configured to communicate with automation devices via a communication subsystem. Further, the application includes an operation environment, a programming environment, and an emulation environment. The programming environment is configured to generate device elements corresponding to the automation devices within the operation environment in which the device elements are configured to functionally interact with the automation devices. The emulation environment is configured to automatically host an emulation model of the automation devices based on the device elements generated within the operation environment.

A peripheral device for a programmable controller includes a display unit; a program storage unit; a history information storage unit storing history information that is arithmetic processing information during execution of the user program in the programmable controller and recorded under a predetermined condition; a program display processing unit displaying a designated user program in a user program display area; a trend graph display processing unit displaying a first trend graph obtained by graphing first history information corresponding to the designated user program and a cursor indicating a position on the first trend graph, in a trend graph display area; and a cursor information acquisition unit acquiring a cursor position and acquiring arithmetic processing information corresponding to the cursor position from the first history information, wherein the program display processing unit displays the arithmetic processing information over the user program in the user program display area.

For equipment tutorial review audit, a processor synchronizes a plurality of equipment tutorials to a mobile device. Each equipment tutorial corresponds to an equipment instance of a plurality of equipment instances of specific equipment and each equipment instance corresponds to an equipment reference code. The processor receives a first equipment reference code for a first equipment instance at the mobile device. The processor retrieves a first equipment tutorial of the plurality of equipment tutorials that is indexed to the first equipment reference code at the mobile device. The processor displays the first equipment tutorial on the mobile device. In addition, the processor records a review of the first equipment tutorial by an operator to an audit report.

A method synchronizes first and second simulation systems, each operating in a free running operation thereby exchanging data to run the simulation systems. The method includes: a) providing the first simulation system (PLCSIM) being enabled to run in cycles at a linear speed determined by repeatably setting a scaling factor (s.sub.n); b) providing the second simulation system (Process Simulate) to run in cycles at different speeds; c) the second simulation system requests at the end of a cycle a virtual time stamp from the first simulation system; d) calculating on the basis of the virtual time stamp a virtual duration time At.sub.nfs and on the basis of the virtual time stamp after completion of the cycle of the second simulation system a virtual duration time At.sub.nss; and e) calculating an update sn+1 for the scaling factor according the most recent scaling factor s.sub.n multiplied by At.sub.nss/At.sub.nfs.

A method for operating an automated system, the system comprising: a controlled device for performing an action as a function of received control data; a first control device for receiving system data and generating control data for controlling the controlled device as a function of the received system data; and a second control device for receiving input data and generating output data as a function of the input data according to a computer-implemented mapping algorithm; wherein the method comprises: adapting the computer-implemented mapping algorithm such that the second control device, upon receiving the system data as input data generates output data that is similar to the control data generated by the first control device with a predetermined similarity degree, wherein the computer-implemented mapping algorithm includes a neural network algorithm and/or a machine learning algorithm.

Training apparatus and methods are disclosed for teaching practices for operation of machines. The apparatus comprises: a plurality of input selectors; a plurality of status indicators; an alarm; and a programmable controller switchable between programming and operator testing modes. In the programming mode, a sub-set of the control operators is used to select a testing program, and a second sub-set is used to select modifications to the testing program. Each program defines a sequence of input selections and a corresponding sequence of signals from the status indicators. In the testing mode, the controller is configured to receive input selections and to activate the alarm in response to deviation from the sequence of input selections of a selected testing program.

The present invention relates to the field of intelligent machining, in particular to a parallel control method based on multi-period differential sampling and digital twinning technologies, the method comprising the following steps of: a. detecting machining conditions of dotting machine equipment by using a multi-period differential sampling technology; b. establishing a digital twinning control model; and c. controlling a simulation model of the dotting machine equipment according to a detection judgment result so as to perform parallel control on the dotting machine equipment. According to the parallel control method based on multi-period differential sampling and digital twinning modelling provided by the present invention, for the digital twinning model of the dotting machine equipment, the parallel control method establishes a simulation model and a detection model of the dotting machine equipment by using a virtual-real synchronization technology; simulation dotting machine equipment operates in synchronization with the physical dotting machine equipment.

An information processing system and method that an environment in which the behavior of a drive device can be compared with the behavior of a simulator of the drive device are provided. The information processing system comprises: a drive device; a controller for controlling the drive device in accordance with a control program; an actuator emulator for emulating the behavior of the drive device; a controller emulator for controlling the actuator emulator in accordance with the control program; a first collection part for collecting first operation data for the drive device during the execution of the control program where a first control parameter group is input a second collection part for collecting second operation data for the actuator emulator during the execution of the control program where a second control parameter group is input and an output part for outputting the first and second operation data.

A method for computer-supported simulation of operation of a machine working in an automated manner, the machine being controllable during real operation via software on a programmable logic controller, wherein simulated control of the machine via software on a simulation computer is performed based on a predefined execution pattern, where the temporal execution sequence of processes executed by the software code and starting time points of processes are defined based on a virtual time and the execution time point of each process is set to zero in the virtual time in the predefined execution pattern, and during the simulation, the next process, which follows an ended process according to the execution sequence, is not started until a process in the real time of the simulation computer has ended, and where the virtual time is set to the starting time point of this next process when the next process is started.

A control system and a control method are provided. A control device in the control system includes a computation processing unit related to control of a control target, a collection unit that executes a process of collecting data associated with the control target, and a monitoring processing unit that executes a process of monitoring a state of the control target and includes a feature quantity generation unit that executes a process for generating a feature quantity from the collected data, and a detection unit that executes a for detecting an abnormality occurring in the control target using the generated feature quantity and an abnormality detection parameter suitable for detection of an abnormality occurring in the control target that is set based on a result of machine learning. An information processing device executes emulation of the monitoring process using the data associated with the control target from the control device.