The invention specifies a computerized method for configuring a technical system comprising a sequence (Pi) of system components (Si), whereby each sequence (Pi) of system components (Si) can be assigned to a sequence pattern and whereby the sequence comprises at least one system component (Si), whereby the method comprises the following steps: specifying a support threshold for sequence patterns (M1) by a user, starting the configuration of the technical system (M2) by choosing a sequence of system components (Si) by the user (U), analysing (M3) the chosen sequence (Pi) of system components (Si) and extracting sequence patterns by an automation unit (A), and introducing (M4) at least one further system component (Si) based on the extracted sequence pattern and according to the support threshold by the automation unit (A). The invention further specifies a computer program product and a computer-readable storage medium.

A method for visually displaying a facility mimic diagram of a technical facility which has an operator station server and an operator station client, wherein the method includes transferring the facility mimic diagram from the operator station server to the operator station client, where the facility mimic diagram includes an alarm signal indicator, communicating a duration for visually displaying the indicator, visually displaying the facility mimic diagram with the alarm signal indicator, informing the operator station client about an emergence of a new alarm signal in the management system via a message, determining a value an actual display time has to visually display the alarm signal indicator, determining whether a display time for the visual display of the alarm signal indicator with the new alarm signal would overshoot the value of the duration, limiting the visual display of the alarm signal indicator when the available duration is overshot.

Technologies are described for utilizing machine learning (“ML”) to adjust operational characteristics of a computing system based upon detected HID activity. Labeled training data is collected with user consent that includes data describing HID activity and data that identifies user activity taking place on a computing device when the data HID activity took place. A ML model is trained using the labeled training data that can receive data describing current HID activity and identify user activity currently taking place on another computing device based upon the current HID activity. The ML model can then select features of the other computing device that are beneficial to the identified user activity. The ML model can then cause one or more operational characteristics of the other computing device to be adjusted based upon the identified user activity, thereby saving valuable computing resources. A UI can also be presented that describes the identified features.

A method for efficiently managing configuration of modular control systems includes Detecting a communicative coupling between a workstation and a modular control system, determining whether an active project stored in a memory of the workstation matches a saved project stored in a memory of the modular control system, where each of the active project and the saved project includes a respective coordinated set of data for controlling operation of the modular control system, and when the active project and the saved project do not match, (i) determining whether the active project is correct for the modular control system, and (ii) when the active project is incorrect the modular control system, automatically providing, via an interactive user interface, a control for transferring at least a portion of the saved project from the memory of the modular control system to the active project in the memory of the workstation.

A first graph display processing unit displays, on a first graph, a temporal variation of first process data accumulated in a process data storage unit. A second graph display processing unit displays, on a second graph, a temporal variation of second process data accumulated in the process data storage unit, and moves a time range of the data displayed on the second graph in accordance with a change of the time pointed to by a second time cursor on the second graph. A time coordination unit stores the time Ta pointed to by a first time cursor and changes the time pointed to by the second time cursor to time Ta, and thereby causes second process data of the same time as that of the first process data displayed on the first graph to be displayed on the second graph.

A human-machine interface (HMI) development platform simplifies generation of an industrial visualization application by generating at least a portion of the visualization application based on analysis of digital engineering drawings of an automation system to be monitored and controlled. This drawing-based approach includes creation of HMI interface displays comprising animated graphics representing industrial assets represented in the drawings, and setting animation data sources for the graphics based on analysis of the drawings.

A furniture system with an electrically height-adjustable table which has at least one electrically height-adjustable frame, in particular an electrically height-adjustable table leg, with at least one electric motor via which a height adjustment of the table top is possible, and a motor control device for controlling the at least one electric motor as well as at least one sensor device for temporally detecting a value of at least one motor characteristic of the at least one electric motor, a communication module with a control and evaluation device, which is coupled to the at least one sensor device, for evaluating the values of the at least one motor characteristic, which values are detected by means of the at least one sensor device, with regard to a deviation from a respective motor characteristic reference value, which communication module is coupled to the motor control device via a data connection, and a remote computer, in particular server, preferably with a web interface, which can be connected to the communication module via a data network and has a data storage device as well as means for expanded remote fault diagnosis for the at least one electrically height-adjustable table.

Provided are embodiments of monitoring an industrial process that include determining a process structural model that defines operational characteristics of equipment used to perform the industrial process, determining an interface application to display a process flow diagram (PFD) for the process, obtaining an interface model for the interface application, determining (based on the process structural model) a grouped process structural model for the process, determining (based on the grouped process structural model) a routed process model for the process, and generating (based on the routed process model) the PFD for the process. The determining of the grouped process structural model including grouping sensors with associated process equipment, grouping process equipment, and grouping connections between pieces of equipment to determine an edge-grouped process structural model for the industrial process, and incorporating the interface model with the edge-grouped process structural model to determine the grouped process structural model.

A multi-site Building Management System (BMS) monitors performance of a local BMS at each of a plurality of remote sites. The multi-site BMS includes a controller that is configured to determine a plurality of local performance metrics associated with each local BMS based on the operational data received from each local BMS and to aggregate like ones of the plurality of local performance metrics, resulting in a plurality of aggregated performance metrics. The controller is configured to display on the display a plurality of panels, to display in each of the plurality of panels the corresponding one of the plurality of aggregated performance metrics and to display in each of the plurality of panels a ranking of one or more of the remote sites by their corresponding local performance metric.

System and methods for monitoring and control infrastructure equipment uses extended reality playback to monitor such infrastructure equipment. The system and method advantageously blends videos and images of physical equipment with computer-generated representations of events to enable playback of the events, including any user interactions with the equipment. The extended reality playback presents events captured by real-time event logs for the infrastructure equipment using extended reality media content. The playback is composed of a real-time sequence of media content depicting one or more equipment operations corresponding to the events as a continuous presentation. The real-time sequence can then be displayed in real time and stored for subsequent playback at any time by a user. The real-time sequence can also be compared to a verified “golden” sequence to detect errors in the infrastructure equipment.