A method includes determining an artificial intelligence function in an engineering framework system. An inference path is defined for generation of an AI model by a computation graph. An AI function and the inference path are converted into a processing format. The converted AI function is sent and exported to an extraction and extension module of an AI workbench module. The extended computation graph of the inference path is transmitted from the extraction and extension module to an AI framework module. The method includes communicating of a communication adapter with the processing module continuously by using a supporting communication protocol for receiving training data as input for the AI function and forwarding the training data to the AI framework module. Learned parameters of the AI model are transferred from an API interface of the AI framework module to the communication adapter for updating the AI model.

Method for creating and managing programmable logic controller (PLC) solution comprises connecting existing PLC solution to a cloud network, and connecting from a user device to a virtualization server. A graphical representation of a pin layout of a PLC is displayed on a GUI on the user device. An input comprising selection of a first pin, a sensor or an actuator configured to be coupled with the PLC via the first pin, and a parameter for the operation of the selected sensor or the selected actuator is received on the GUI. The received input is sent from the user device to the virtualization server. An executable PLC application for execution on the PLC is received on the user device. The PLC application is configured to operate and/or monitor the PLC according to the received input. The PLC application is sent to the PLC for being deployed on the PLC.

A control device is configured to cause an output of a target device to be servo-controlled to follow a predetermined command in a predetermined working coordinate system. The control device includes: a target model controller that possesses a target model in which the target device is modeled based on the predetermined working coordinate system and simulates and outputs an output according to the predetermined working coordinate system by using the target model; a model predictive controller that possesses a predictive model in which a correlation between a predetermined state variable that is related to the target model possessed by the target model controller and based on the predetermined working coordinate system and a control input to the target model controller is defined in a form of a predetermined state equation based on the predetermined working coordinate system; and a calculator that calculates a target command from the output of the target model controller, based on the predetermined working coordinate system for each control axis and in accordance with a geometric relationship of a machine structure of the target device. The control device supplies the target command to the target device. This configuration can perform the model predictive control to supply a target command for causing the output of the target device to appropriately follow a predetermined command.

A control device is configured to cause an output of a target device to be servo-controlled to follow a predetermined command in a predetermined working coordinate system. The control device includes: a target model controller that possesses a target model in which the target device is modeled based on the predetermined working coordinate system and simulates and outputs an output according to the predetermined working coordinate system by using the target model; a model predictive controller that possesses a predictive model in which a correlation between a predetermined state variable that is related to the target model possessed by the target model controller and based on the predetermined working coordinate system and a control input to the target model controller is defined in a form of a predetermined state equation based on the predetermined working coordinate system; and a calculator that calculates a target command from the output of the target model controller, based on the predetermined working coordinate system for each control axis and in accordance with a geometric relationship of a machine structure of the target device. The control device supplies the target command to the target device. This configuration can perform the model predictive control to supply a target command for causing the output of the target device to appropriately follow a predetermined command.

An interconnection device, a communication method, and a system including a robot are disclosed. In an embodiment, the interconnection device includes a first OPC UA interface, configured to establish connection between the interconnection device and an OPC UA device; and an ROS interface, in communication with the first OPC UA interface. The ROS interface includes: at least one ROS node module, configured to perform communication between the OPC UA device and an ROS device; an ROS client library module, configured to provide a function library to be called when the ROS node module performs the communication; and an ROS core module, configured to manage the ROS node module in the ROS interface unit and a node module in the ROS device. Communication between the OPC UA device and the ROS device is achieved via the interconnection device and the communication method.

A system and method for detecting a failure in a redundant signal path during operation of the redundant path is disclosed. A test signal is sequentially injected into each signal path while an input signal is conducted by the other signal path not receiving the test signal. The test signal is selected at a frequency to verify operation of a filter connected in series along each path. A processor generates the test signal, injects the test signal at the input of the filter, and receives the output of the filter. The processor then generates a frequency response of the filter in each signal path as a function of the output from the filter and of the original test signal. The frequency response obtained along each of the redundant signal paths is compared to each other to detect a failure of one of the filters present along the respective signal paths.

A process monitoring system includes a control unit connected to a server that includes an alarm household, an alarm list that includes alarm messages and a visualization service that includes a variable household, wherein the visualization service is configured to supply the control unit with process values and alarm messages, the first control unit is configured to indicate a process object with its process values in an input/output window and indicate a message sequence display with alarm messages, the input/output window includes an input field and activation area, a manager creates an alarm instance for a process object assigned to the input field when a short message is input and an activation area is activated, and the first control unit stores the assigned short message as a further alarm message in the alarm list, where the message sequence display is extended to indicate the further alarm messages as short messages.

A highly versatile process control or factory automation field device is configured with an interface and communication connection structure and security features that enable the field device to operate as a data server that communicates with and supports multiple different applications or clients, either directly or indirectly, while simultaneously performing standard process and factory automation control functions in a highly secure manner. The security features include a root of trust component, a secure boot component, secure memory components, secure communication components, security audit components, secure provisioning components and endpoint identity components, making the field device communications and operations secure and trustworthy. Moreover, various different process control and factory automation network architectures and, in particular, communication architectures, support the versatile field device to enable the versatile field device to simultaneously communicate with multiple different client devices or applications (each associated with a different system) via a common communication network infrastructure in a very secure manner, using the same or different communication protocols.

Example implementations described herein are directed to systems and methods for deploying function packages onto machines connected to an Internet of Things (IoT) network. The function packages can include updates for machine functions or sensor functions, and can be triggered for deployment while the factory floor is running. Through the example implementations described herein, appropriate function packages can be scheduled and deployed to corresponding machines or sensors in response to an event occurring on the factory floor.

Examples of a diagnostic tool include a LAN port, a human-machine interface (HMI), and a CPU configured to transmit a command issued from the HMI by a user to a connection destination of the LAN port, wherein the diagnostic tool is configured to be incapable of wireless communication.