Abstract: A computer-implemented method to control technical equipment that performs a production batch-run of a production process, the technical equipment providing data in a form of time-series from a set of data sources, the data sources being related to the technical equipment, includes: accessing a reference time-series with data from a previously performed batch-run of the production process, the reference time-series being related to a parameter for the technical equipment; and while the technical equipment performs the production batch-run: receiving a production time-series with data, identifying a sub-series of the reference time-series, and comparing the received time-series and the sub-series of the reference time-series, to provide an indication of similarity or non-similarity, in case of similarity, controlling the technical equipment during a continuation of the production batch-run, by using the parameter as control parameter.

Abstract: An anomaly detection module is configured to apply a plurality of machine learning models to received technical status data to detect one or more indicators of an abnormal technical status prevailing in the industrial process system. The plurality of machine learning models are trained on historic raw or pre-processed sensor data and the anomaly detection module configured to generate the anomaly alert based on the one or more indicators. The received technical status data is assigned to signal groups and the generated anomaly alert is a vector with each vector element representing a group anomaly indicator for the respective signal group. Each vector element is determined by applying a respective group specific machine learning model.

Abstract: A computer system is configured to process alarm activations received from technical systems, where an alarm activation represents a deviation of the technical status of a technical system from normal. The system includes: a data storage interface for receiving alarm activations in data storage, where the recorded alarm activations correspond to alarms; a data processor for: determining, from the recorded alarm activations, time intervals for alarm analysis; and computing similarity measures between the time intervals that depend on the occurrence of the recorded alarm activations in the time intervals, and where the contribution of an alarm activation to the similarity of two time intervals is reduced with an increasing occurrence of the alarm in the time intervals; and a user interface configured to provide pairs of time intervals to an operator of the one or more technical systems that include time intervals with similarity measures indicating similar alarm.

Abstract: An alarm handling system in plant process automation with a data processing device includes: at least one interface for accessing and/or processing one or more process signals and for determining corresponding process variables; an alarm configuration device for accessing and/or providing alarm configuration information including at least one setpoint for one or more determined process variables; and a prediction device for determining and processing a current rate of change of at least one process variable to predict how long it will take and/or a period until and/or predict at which date and/or time a provided setpoint and/or threshold is reached and/or crossed, and/or for determining whether and/or when at least one of the monitored and/or determined process variable values will cross the respective setpoint.

Abstract: The disclosure relates to a method and system for intelligent visualization in the monitoring of process and/or system data used in technical processes and in the operation of technical systems. The behavior of signals in the past is analyzed and used for a future optimized visualization. Continuously running online algorithms support the system operator by detecting and correspondingly highlighting deviations from the historically observed signal patterns.

Abstract: A method for sorting alarm-messages of a plant having at least one alarm-area each having at least two plant-devices connected by at least one connection, wherein the at least one alarm-area is defined so that the plant-devices and the respective connection provide a directed graph, involves: providing at least one database containing alarm-data and topology-data; wherein the topology-data describe a directed graph having at least one connection with a related flow direction between the respective plant-devices of the respective assigned alarm-area; generating at least one partly complete first alarm-order of the alarm-messages of the at least one alarm-area by sorting the alarm-messages according to the flow direction of the directed graph.

Abstract: The disclosure relates to a safety device and a method for detecting and evaluating the degree of attention of an operator of a technical installation or a technical process, which includes a first module which records values of predefined physiological parameters of the operator and determines a first characteristic number from the recorded values, compares the determined first characteristic number with a predefined first characteristic value, which activates a second module which records further values provided by a checking or triggering mechanism. The second module determines a second characteristic number for the degree of attention of the operator from the recorded further values, compares the second characteristic number with at least one second predefined characteristic value, which triggers an activation module in order to take countermeasures which increase the attention of the operator of the installation.

Abstract: A display system includes a processing device for graphic representation of alarm reports from measured values of a technical plant or process. Measurement points of the measured values each respectively have a hierarchically structured identifier held in the processing device. The processing device decomposes the hierarchically structured identifiers into hierarchical levels of different significance, selects the identifiers of the hierarchical levels with the highest significance, and transmits them to a preconfigured mass alarm display unit. The identifiers of the hierarchical levels with the highest significance can be assigned to a correspondingly identified area within an overview image of the plant or process of the preconfigured mass alarm display unit.

Abstract: An exemplary logging system and a method are for detecting, conditioning and presenting installation-specific and/or process-specific operator control actions, process reports, alarm reports, system events, installation parameters and digital text messages for a technical installation or a technical process. The logging system having at least one input apparatus that automatically converts audible and/or spoken information and information that is present in written form into digital text messages and provides the information, together with information relating to operator control actions, information relating to navigation steps performed and further text information that is present in digitized form, for a processing unit, that can automatically attribute timestamps.

Abstract: A logging system and a method are disclosed for detecting, conditioning and presenting installation-specific and/or process-specific operator control actions, process reports, alarm reports, system events, installation parameters and digital text messages for a technical installation or a technical process having at least one input apparatus that automatically converts audible and/or spoken information and information that is present in written form into digital text messages and provides the information, together with information relating to operator control actions, information relating to navigation steps performed and further text information that is present in digitized form, for a processing unit, that can automatically attribute timestamps.

Abstract: An exemplary alarm management system and method for the management of alarm messages of a technical installation or of a technical process are disclosed. A data processing system receives alarm messages. A plurality of display modules display the alarm messages. The data processing system includes a module for creating alarm channels for different ways of representing the pending alarm messages. Each alarm channel created by the module is associated with one of the display modules, and the display modules present the pending alarm messages as ate least one of lists, alarm clouds, and displays in conjunction with at least one of acoustic signals and alarm records.

Abstract: An operation and observation system of a technical plant and/or a technical process and associated method are provided for operating components and for displaying measurement readings, process variables and/or status messages of the components of the plant and/or process. The system includes at least one large screen for displaying the components of the technical process and/or technical plant, and a plurality of operator workstations. A movement detection and movement control component is installed on the screen and on the operator workstations, which allows an operation and/or polling of the components, the measurement readings, the process variables and/or the status messages of the components of the technical plant or of the technical process by means of a body movement of an operator.

Abstract: The disclosure relates to a safety device and a method for detecting and evaluating the degree of attention of an operator of a technical installation or a technical process, which includes a first module which records values of predefined physiological parameters of the operator and determines a first characteristic number from the recorded values, compares the determined first characteristic number with a predefined first characteristic value, which activates a second module which records further values provided by a checking or triggering mechanism. The second module determines a second characteristic number for the degree of attention of the operator from the recorded further values, compares the second characteristic number with at least one second predefined characteristic value, which triggers an activation module in order to take countermeasures which increase the attention of the operator of the installation.

Abstract: The disclosure relates to a method and device for identification of correlations between alarm messages in an alarm system of a technical installation or a technical process and/or correlations between such alarm messages and operator actions, using a data processing device which has access to recorded historical data which relates to alarm messages and operator actions. The data processing device can use market basket analysis methods to deal with and analyze historical data, which occurs at defined intervals, as a market basket. Quality characteristics can be formed from a relationship between respective operator actions before and after an occurrence of a respective alarm message, and/or from correlations between alarm messages and operator actions, via the data processing device, which has access to the recorded historical data which relates to alarm messages and operator actions.

Abstract: The disclosure relates to a method and system for intelligent visualization in the monitoring of process and/or system data used in technical processes and in the operation of technical systems. The behavior of signals in the past is analyzed and used for a future optimized visualization. Continuously running online algorithms support the system operator by detecting and correspondingly highlighting deviations from the historically observed signal patterns.

Abstract: An alarm analysis system for providing statistics on alarms collected by a process control system including an alarm server receiving and storing alarms from one or more processes supervised by the control system. The alarm analysis system is run on the alarm server and the alarm analysis system is adapted to automatically produce and display the statistics in real time based on the alarms stored in the alarm server.

Abstract: The disclosure relates to a method and device suitable in which historical process measurement values are evaluated and used for the generation of alarm suppression rules. In connection with predetermined requirements, alarm configuration parameters are tested, evaluated and optimized. The historical process measurement values are further used to identify predictive alarms. Results obtained in generating the alarm suppression rules and/or evaluating the alarm configuration parameters are utilized for the configuration of optimized alarm configuration parameters and alarm suppression rules in control systems.

Abstract: An exemplary alarm management system and method for the management of alarm messages of a technical installation or of a technical process are disclosed. A data processing system receives alarm messages. A plurality of display modules display the alarm messages. The data processing system includes a module for creating alarm channels for different ways of representing the pending alarm messages. Each alarm channel created by the module is associated with one of the display modules, and the display modules present the pending alarm messages as ate least one of lists, alarm clouds, and displays in conjunction with at least one of acoustic signals and alarm records.

Abstract: A system and method are provided for the simplified operation of an automation system. The system and method link knowledge-based and/or empirical and historical data to real-time data, such as alarm messages and/or event messages, in cooperation with a control system, such as a process control system. Data and/or links or references to data and/or process states are acquired and stored by means of a first data processing device and can be made available to at least one second data processing device for further processing via at least one allocated communication link, such as a network or bus system.

Abstract: The disclosure relates to a method and to a corresponding device for storing data belonging to an alarm or event message containing multiple attributes. A fixed table directly stores a first part of the attributes belonging to an alarm or event message in a standardized manner. Additionally, both the first part and a remaining second part of the attributes are stored as an availability dataset.