Provided is a control system comprising a control apparatus including a learning processing unit for generating a control model by learning, the control model being for calculating control data for controlling a facility according to state data detected by at least one sensor for measuring a state of the facility, and a model transmission unit for transmitting the generated control model to a controller for controlling the facility; and a controller including a model receiving unit for receiving the learned control model from the control apparatus, a state receiving unit for receiving the state data from the at least one sensor, a calculation unit for calculating control data for controlling the facility according to the state data, which is a processing target, by using the control model received by the model receiving unit, and a control unit for controlling the facility by using the calculated control data.

Provided is a control system comprising a control apparatus including a learning processing unit for generating a control model by learning, the control model being for calculating control data for controlling a facility according to state data detected by at least one sensor for measuring a state of the facility, and a model transmission unit for transmitting the generated control model to a controller for controlling the facility; and a controller including a model receiving unit for receiving the learned control model from the control apparatus, a state receiving unit for receiving the state data from the at least one sensor, a calculation unit for calculating control data for controlling the facility according to the state data, which is a processing target, by using the control model received by the model receiving unit, and a control unit for controlling the facility by using the calculated control data.

A safety network controller is comprised in an electronic safety system. The safety network controller comprises a first serial port and a second serial port, each of which is configured to communicatively connect to a redundant safety network controller via a respective daisy chain network. Each daisy chain network comprises at least one safety device controller that is controlling a corresponding safety device. The safety network controller further comprises network circuitry configured to communicatively connect to the redundant safety network controller via a packet-switched network. The safety network controller further comprises processing circuitry configured to exchange, with the redundant safety network controller: serial communication via each of the daisy chain networks; packets via the packet-switched network; and responsibility for control over one or more of the safety device controllers in response to detecting a failure.

In order to output a given text string from a ladder program that has been analyzed, this PLC device is provided with a text data output unit for reading text data from a storage device, a display unit for outputting the given prescribed text string to a display device, and a communication unit for carrying out text communication with a network server by means of a prescribed command. In addition, the text data output unit is able to implement general-purpose protocol communication (HTTP communication) with a PLC program by determining, on the basis of a keyword included in the text data, whether the text data is to be output to the display unit or the communication unit, and outputting the text data to the display unit or the communication unit, on the basis of the determination result.

An input unit (20) is connectable to a programmable controller (10) and an output unit (30) to share a shared time with the programmable controller (10) and the output unit (30). The input unit (20) includes a data sharer (220) that shares, in a periodic time segment defined by the shared time, data in a storage area (214) with the programmable controller (10) and the output unit (30), and an input (240) that acquires input information input from an input device (20A). The data sharer (220) transmits, in the periodic time segment, transmission information to the output unit (30). The transmission information is the input information or indicates a result of a predetermined computation process performed on the input information.

This controller system includes: a program acquisition unit that acquires, by turning on the controller system, a control program from a server in which the control program is stored; a main storage device that stores the control program acquired by the program acquisition unit while electric power is supplied to the controller system; and a program execution unit that executes the control program stored in the main storage device.

Secure data transmission between an input device and both industrial controllers in a high-availability system utilizes a secure connection established between the primary industrial controller and the input device. Data required to establish the secure connection is stored on the primary controller as part of the connection data corresponding to the secure connection. The input device transmits data to the primary controller over the secure connection according to the desired level of security. The primary controller transmits the connection data defining the secure connection to the secondary controller. If a failure occurs in the primary controller, the secondary controller establishes a connection to the input device using the connection data for the secure connection, such that the secondary controller may assume responsibility for the controller end of the secure connection. The primary controller transmits the input signals to the secondary controller via the dedicated connection between controllers.

Various embodiments of the present technology generally relate to industrial automation environments. More specifically, embodiments include systems and methods for applying machine learning techniques to industrial control code to detect errors, perform optimizations, and generate predictions. In some embodiments, a design application in an industrial automation environment generates a functional block diagram configured for implementation by a programmable logic controller. The design application generates feature vectors that represent the functional block diagram configured for ingestion by a machine learning model. The design application supplies the feature vectors to the machine learning model. The design application receives a machine learning output that comprises the recommendation feedback generated by the machine learning model and responsively modifies the functional block diagram based on the recommendation feedback.

Various embodiments of the present technology generally relate to industrial automation environments. More specifically, embodiments include systems and methods to optimize a target variable in an industrial automation environment. In some examples, a design application generates a control program configured and selects a program tag that represents a target variable in an industrial process. A processing application identifies a set of available program tags that represent independent variables in the industrial process and determines correlations between ones of the independent variables and the target variable. The processing application selects available program tags that represent independent variables correlated with the target variable and generates a recommendation that indicates the selected available program tags. The design application modifies the control program using the selected available program tags to optimize the target variable. The design application transfers the control program for implementation by the programmable logic controller.

An apparatus and method for establishing triggers for the opening of one or multiple gates to a mold cavity of an injection molding system, followed by a sequence of predetermined valve pin movements over the course on an injection cycle. In one embodiment, the invention provides a graphical user interface and control system enabling a user to select from and arrange a plurality of virtual icons into a user-defined virtual sequence that define associated triggering events and actuator controlled pin movements over the course of an injection cycle. In various embodiments, the apparatus and method allows the system operator to view a simulated profile of such triggers and movements and to compare the simulated profile to an actual profile to access differences and make adjustments to the triggers and sequencing more quickly and efficiently. This is particularly useful in sequential molding systems where multiple gates need to be programmed and adjusted to compensate for variations from a predetermined sequence.