To facilitate work for creating a data utilization program for collecting control data held by a PLC and a dashboard for displaying the control data. A setting device receives selection of a dashboard, receives designation of collection target data, creates setting data including a set of a template of the dashboard and a template of a data utilization program, and transfers the setting data to a PLC. A second executing section of the PLC executes, based on the setting data, predetermined data processing on the collection target data to generate display target data. The display target data is linked with a graph display component included in the template of the display data of the dashboard.

Techniques to facilitate device identification in a human machine interface (HMI) associated with an industrial automation environment are disclosed herein. In at least one implementation, the HMI is configured to display a plurality of graphical elements that represent one or more industrial devices. A user query selection of at least one query-building element is received. One or more of the graphical elements in the HMI that represent the one or more industrial devices that correlate to the at least one query-building element is identified. The one or more of the graphical elements that correlate to the at least one query-building element is visually distinguished distinctly from a remainder of the graphical elements that do not correlate to the at least one query-building element.

Various embodiments of the present technology generally relate to industrial automation environments. More specifically, embodiments include systems and methods to visualize machine learning model status in an industrial automation environment. In some examples, a machine learning component receives process inputs associated with industrial devices in the industrial automated environment. The machine learning component processes the inputs to generate machine learning outputs and transfers the machine learning outputs to influence one or more functions of the industrial devices. The machine learning component reports operational data characterizing the machine learning outputs. A Human Machine Interface (HMI) component displays a visualization of the machine learning component and receives the operational data from the machine learning component. In response to a user selection, the HMI component displays an expanded view of the machine learning component that comprises the operational data and that indicates relationships between the machine learning component and the industrial devices.

A method and a device for planning a specific process system, wherein during the planning of a specific process system, which consists of primary technology formed as components of the system that are interconnected with respect to process and at least one secondary technology that depends on the primary technology and enables operation of the system together with the primary technology, the primary technology is planned as a flow diagram of the system via a system planning tool, where configuration data formed as requirements, guidelines for operation of the system, system-specific basic conditions and/or specifications are added to the flow diagram, and where a data-processing device evaluates the flow diagram to which the configuration data have been added and automatically creates, optionally by accessing an archive having standard planning solutions, a specific planning solution for a secondary technology that meets the various requirements together with the planned primary technology.

Systems and Methods for Documenting and Managing Execution of Procedures in a Graphical Interface Environment, for example, in a Graphical User Interface (GUI), to control multiple, diverse systems. The presently disclosed subject matter relates generally to documenting procedures, and more particularly to graphically documenting and structuring the automated performance of and execution of the procedures to reduce human factor risks and accidents with improved connectivity between the systems running the procedures and the systems being controlled or monitored by the procedures.

Embodiments herein are directed to an assembly having a plurality of machines, a first programmable logic controller device and a second programmable logic controller device commutatively coupled to the first programmable logic controller device. The second programmable logic controller device includes a human machine interface having a display and displaying a plurality of user inputs. A processing device communicatively coupled to the display and a storage medium. The storage medium includes one or more programming instructions that, when executed, cause the processing device to prompt a user to select a desired program, to input a desired line speed time, and to input a plurality of line control data. The data is converted into a simulated data and transferred to the first programmable logic controller device, which causes at least one machine of the plurality of machinery to move in a predetermined manner based on the simulated data.

Disclosed is a graphical user interface to quickly build a graphical representation defining the set of instructions in a protocol without the user needing the programming knowledge to encapsulate those instructions in executable code. The graphical representation may include an arrangement of one or more graphical elements, with each graphical element corresponding to instructions or program logic. The user may also specify the set of parameters associated with each of the graphical elements. The arrangement of the one or more graphical elements, along with the set of parameters for each of the graphical elements, may be used to translate the graphical representation of the protocol into executable code for the protocol. The executable code for the protocol may then be executed by various flow cytometry machines in order to perform the protocol.

A hybrid rendering HMI terminal device (32) is provided with a web browser (321) and an HMI Web Runtime (322). The web browser (321) displays an HMI screen on which a first part and a second part that represent the state of a monitoring target device (7) are arranged. When signal data from the monitoring target device (7) is analog numerical data, a WebGL rendering processing unit (322i) renders the first part associated with the signal data by WebGL rendering. When signal data from the monitoring target device (7) is data other than analog numerical data, an SVG rendering processing unit (322h) renders the second part associated with the signal data by SVG rendering.

Techniques described herein may involve modification of playback based on the proximity of a user to a playback device. An example technique involves a device determining that a listener is within a given proximity of a first playback device and based on determining that the listener is within the given proximity of the first playback device, causing the first playback device to begin playback of first media and causing a second playback device to modify playback of second media.

A display unit of an injection molding machine that displays an order of operations of elements operating during clamp close or open of the injection molding machine, the display unit including a condition setting unit that sets a start condition of the operation; a group setting unit that sets the elements operating in conjunction with each other to be associated with the same group, based on the set start conditions; an order setting unit that sets the order of the operations of the elements associated with the same group, based on the set start conditions; and a display control unit that controls a display unit to display a field showing the group, and to display symbols indicating the operations of the elements associated with the groups in the fields, to show a before and after relationship in accordance with the set order of the operations.