Abstract: An apparatus for alarm information determination includes: an input unit; a processing unit; and an output unit. The input unit provides the processing unit with historical process control data, the process control data including a plurality of data signals, a plurality of alarm data, and data relating to an event of interest. The processing unit determines a plurality of correlation scores for the plurality of data signals paired with the plurality of alarm data, a correlation score being determined for a data signal paired with an alarm data, a high correlation score indicating a higher degree of correlation than a low correlation score. The processing unit identifies at least one first alarm data from the plurality of alarm data, the identification including utilization of the data relating to the event of interest.

Abstract: A method for implementing a safety configuration for a manipulator comprising an end effector comprises: a) reading an action instruction from a manipulator control program, the instruction defining at least one of a path to be followed by the end effector, a target position to be reached by the end effector, a target pose to be assumed by the end effector and an action to be carried out by a tool wielded by the end effector; b) reading at least one constraint instruction from the manipulator control program, the constraint instruction defining a constraint to be observed while carrying out an action instruction; and c) carrying out the action instruction read in step a) while respecting the constraint defined in the at least one constraint instruction, or transferring the manipulator into a safety mode if violation of the at least one constraint is detected while carrying out the action instruction.

Abstract: A computer-implemented method for determining an abnormal technical status of a technical system includes: receiving, from the technical system, a plurality of signals, each signal being sampled over time and reflecting the technical status of at least one system component; computing, for each signal with associated high and low alarm thresholds obtained from an alarm management system, at every sampling time point, a univariate distance to its associated alarm thresholds as a maximum of the distances between a value of the respective signal and its associated alarm thresholds to quantify a degree of abnormality for the respective at least one system component; computing, at every sampling time point, based on the univariate distances at the respective sampling time points, an aggregate abnormality indicator reflecting the technical status of the technical system; and providing, to an operator, a comparison of the aggregate abnormality indicator with a predetermined abnormality threshold.

Abstract: A computer-implemented method is provided.

Abstract: A method for monitoring a continuous industrial process is described. The industrial process includes a number of processing stations for processing material and a material flow between the number of processing stations. Each processing station dynamically provides data representing a state of the processing station. The method includes providing, for each processing station, a processing station layout of the processing station. The method further includes providing, for each processing station, an interface model of the processing station. The method further includes generating an information metamodel from the processing station layout and the interface model of the number of processing stations. The method further includes generating an adaptive simulation model of the industrial process by importing the data representing the state of the processing station provided by the number of processing stations into the adaptive simulation model via the information metamodel.

Abstract: A method for controlling a virtual assistant for an industrial plant includes receiving by an input interface an information request, wherein the information request comprises at least one request for receiving information about at least part of the industrial plant; determining by a control unit a model specification using the received information request; determining by a model manager a machine learning model using the model specification; and providing by the control unit a response to the information request using the determined machine learning model.

Abstract: A robot application development system and method includes a robot application unit that determines a robot application, which defines the industrial robot in a robot workspace. An input interface receives robot application information. An object data interface receives work piece information. A gripper finger design unit determines a gripper finger design. The robot application unit determines the robot application using the robot application information. The gripper finger design unit determines the gripper finger design using the work piece information and the robot application information.

Abstract: A system and method for programming a robot includes providing a 3D representation of workpieces to be handled by the robot, and of a working environment; synthesizing and displaying a view of the working environment comprising an image of the workpieces at respective initial positions; identifying matching features of the selected workpiece and of the working environment which are able to cooperate to hold the workpiece in a final position in the working environment, and a skill by which the matching features can be brought to cooperate; identifying an intermediate position from where applying the skill to the workpiece moves the workpiece to the final position; and adding to a motion program for the robot a routine for moving the workpiece from its initial position to the intermediate position and for applying the skill to the workpiece at the intermediate position.

Abstract: A computer-implemented method for determining an abnormal technical status of a technical system includes: receiving, from the technical system, a plurality of signals, each signal being sampled over time and reflecting the technical status of at least one system component; computing, for each signal with associated high and low alarm thresholds obtained from an alarm management system, at every sampling time point, a univariate distance to its associated alarm thresholds as a maximum of the distances between a value of the respective signal and its associated alarm thresholds to quantify a degree of abnormality for the respective at least one system component; computing, at every sampling time point, based on the univariate distances at the respective sampling time points, an aggregate abnormality indicator reflecting the technical status of the technical system; and providing, to an operator, a comparison of the aggregate abnormality indicator with a predetermined abnormality threshold.

Abstract: An apparatus for alarm information determination includes: an input unit; a processing unit; and an output unit. The input unit provides the processing unit with historical process control data, the process control data including a plurality of data signals, a plurality of alarm data, and data relating to an event of interest. The processing unit determines a plurality of correlation scores for the plurality of data signals paired with the plurality of alarm data, a correlation score being determined for a data signal paired with an alarm data, a high correlation score indicating a higher degree of correlation than a low correlation score. The processing unit identifies at least one first alarm data from the plurality of alarm data, the identification including utilization of the data relating to the event of interest.

Abstract: This discloses systems and methods for transmitting and receiving data. The method includes: a source terminal, when detecting a copy operation, storing the copied data on a clipboard, transmitting the stored data to a server, the server transmitting a push message to a target terminal, the push messaging informing the target terminal to save the data onto a clipboard, the server transmitting the data to the target terminal, the target terminal, after receiving the data, placing the data onto a local clipboard, and pasting the data from the clipboard into a designated location of an application.

Abstract: Methods and systems for facilitating data sharing are provided. The method can include a hotspot terminal allocating at least one wireless resource based on a hotspot ID obtained from a hotspot creation interface and broadcasting the hotspot ID; at least one data-sharing terminal connecting to the hotspot terminal using the hotspot ID, the data-sharing terminal capable of sharing data; when receiving a first data from the data-sharing terminal, the hotspot terminal transmit the first data to a data-sharing application server using the at least one wireless resource allocated to the hotspot ID; when receiving a second data transmitted from the data-sharing application server, the hotspot terminal broadcast the second data to the at least one data-sharing terminal using the at least one wireless resource allocated to the hotspot ID. The can allow a user to create a hotspot on a terminal to connect to a network to facilitate data share when no network access point is available.