Abb Schweiz Ag

Abb Research Ltd.

Abb Ag

Abb Technology Ag

Jens Doppelhamer

Pablo Rodriguez

Marcel Dix

Benjamin Kloepper

Heiko Koziolek

Somayeh Malakuti

Prerna Juhlin

Michael Vach

Hadil Abukwaik

Martin Hollender

Katharina Stark

Benedikt Schmidt

Kristoffer Husoy

Torgeir Enkerud

Johannes Schmitt

Mikko Rissanen

Yauheni Veryha

Andreas Burger

Arzam Muzaffar Kotriwala

Divyasheel Sharma

Sylvia Maczey

Zaijun Hu

Marco Gaertler

Andrea Macauda

Matthias Berning

Reuben Borrison

Nicolas Coppik

Raja Sivalingam

Stefan H Leitner

Simon Hallstadius Linge

Jens Heuschkel

Gayathri Gopalakrishnan

Wolfgang Mahnke

Chandrika K R

Eckhard Kruse

Dawid Ziobro

Roland Braun

Prerna Bihani

Ruomu Tan

An industrial plant operator intervention system for use in an industrial plant includes a processing unit configured to monitor and analyze industrial plant operation data to detect an anomaly in the industrial plant operation data that warrants initiating an operator intervention, and in response to detecting the anomaly, automatically determine a user interface configuration of a user interface to be presented to a designated operator who is to perform the operator intervention. The user interface configuration is determined on the basis of technical context data, including industrial plant operation data associated with the anomaly, and on the basis of operator data pertaining to the designated operator, in such a manner that an anomaly-related and operator-specific user interface configuration is obtained.

Industrial plant operator intervention system for use in an industrial plant

A system for optimal drive configuration using machine learning; the system includes: a data collector configured to collect data and establish correlations among the collected data; a training data set generator configured to compute configuration sets based on the collected data and based on the established correlations, further configured to compute measured success values for the configuration sets, further configured to generate training data sets that include the configuration sets together with corresponding measured success values; a machine learning module, configured to predict predicted success values for calculated configuration sets using the training data sets provided by the training data set generator using machine learning algorithm; and an optimization module, configured to order the calculated configuration sets, including a simulation module, configured to simulate the calculated configuration sets.

System and method for optimal drive configuration using machine learning

A computer-implemented method for retrieving data that relates to at least one industrial asset includes the steps of: receiving, from a requesting entity, a query for data objects from one or more lifecycle phases of the at least one industrial asset; mapping the query to one or more types of data objects that are available from one or more given data sources relating to the at least one industrial asset; obtaining, from the one or more data sources, one or more data objects of the one or more types; producing, from the one or more data objects, a response to the query; and transmitting the response to the requesting entity.

Retrieving industrial asset data from disparate data sources

An edge utility management method includes receiving an application to be deployed on an edge device, wherein the application comprises a plurality of separately-deployable application parts; obtaining application profiles for one or more of the applications parts; obtaining hardware profiles for one or more hardware resources of the edge device; deploying the application parts to selected hardware resources based on the application profiles and the hardware profiles; and facilitating communication between the deployed application parts during execution of the application.

Edge utility management

A system and method provides an impact list of affecting equipment elements that affect an industrial sub-process. The method comprises the steps of selecting, in a topology model, the sub-process, wherein the sub-process is an equipment element that is a part of an industrial plant or process, and wherein the topology model is a graph, whose nodes represent equipment elements and whose edges represent interconnections between the equipment elements; traversing the nodes of the topology model, wherein the traversing starts from the selected sub-process and uses a traversing strategy; and for each of the at least one equipment elements, if the equipment element affects the industrial sub-process by an affecting degree greater than a first predefined affecting degree, adding the equipment element to the impact list of affecting equipment elements.

Method for providing a list of equipment elements in industrial plants

A method for an automatic generation of industrial process graphics includes: receiving engineering data, device data, and sensor data of an industrial plant having a plurality of field devices, the engineering data, device data, and sensor data being assigned to a single or multiple field devices; extracting field device information for each field device of a plurality of the field devices from the assigned engineering data, device data, and sensor data; and generating a plurality of process graphics for each field device of the plurality of the field devices. The plurality of process graphics for each field device covers a plurality of different abstraction levels of the industrial plant.

Automatic process graphic generation

A method for auto-layouting graphic objects includes: receiving input data including input image data, library data, and screen parameter data as received input data; and analyzing the received input data and creating output image data based on reshaping of the input image data based on the library data and the screen parameter data, the output image data being optimized for a specific screen defined by the screen parameter data.

Responsive auto-layouting of industrial process graphics

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.

Device and method for the gesture control of a screen in a control room

The disclosure relates to a method and to corresponding systems for visualizing an address space and for organizing automation-related data, wherein according to a first method variant the user interface of a display device of a computer system is divided into a plurality of configurable address space display regions. Each address space display region is divided into a first partial region and into a second partial region, wherein the address space display regions all represent a same address space that can be chosen by a user. In the first partial regions, the node network of the address space is visualized in different display modes. In the second partial regions, details of a node chosen by the user are displayed. When the user navigates in one of the first partial regions and carries out a change to the node network, the structure of the node network and relations between the nodes in all first partial regions are automatically synchronized.

System and method for visualizing an address space

The management and transmission of events from a server to at least one client via a communication connection includes a server that has at least one server event service communicating with at least one client via a communication connection and at least one unit interface communicating with the at least one server event service. The client includes at least one client event server communicating with the server via the communication connection. Logging of possible events takes place in both the client event server and the server event service. Incident events are passed from the unit interface to the server event service. A client event service initiates requests to the server event service and, based on a submitted request to the server event service, the recorded events are transmitted to the client event service. Events received from the client event service are transmitted to a client application.

Method and system for event transmission

Growing community of inventors

Ladenburg, Germany

Jens Doppelhamer