Abb Schweiz Ag

Divyasheel Sharma

Dirk Schulz

Benjamin Kloepper

Marcel Dix

Benedikt Schmidt

Jens Doppelhamer

Karl Eric Harper

Pablo Rodriguez

Raoul Jetley

Arzam Muzaffar Kotriwala

Sylvia Maczey

Marco Gaertler

Matthias Berning

Reuben Borrison

Andrea Macauda

Hadil Abukwaik

Vadthyavath Ramu

Prabhat Shankar

Raja Sivalingam

Simon Hallstadius Linge

Dawid Ziobro

Roland Braun

Gayathri Gopalakrishnan

Aravindhan Gk

Anand Rath

Abdulla Puthan Peedikayil

Chandrika K R

Sudarshan M V

Mohak Sukhwani

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

The present invention relates to a method and a system for detecting anomalies in a robotic system in an industrial plant. The robotic system is associated with a computing system configured to detect an anomaly in the robotic system. The computer system monitors configuration parameters of the robotic system and process parameters associated with the robotic system. Further, the computing system detects an association between at least one configuration parameter and at least one process parameter for obtaining optimal configuration parameters and optimal process parameters. The optimal configuration parameters and optimal process parameters are analyzed for detecting an anomaly. At least one parameter among the configuration parameters and the process parameters is identified causing the anomaly. Thereafter, the detected anomaly is validated, valid setpoint is estimated and the estimated valid setpoint is updated in the analytics model. The updated analytics model is subsequently used to detect anomaly accurately.

Method and system for detecting anomalies in a robotic system

The invention relates to a method and system to generate control logic for performing industrial processes with a controller in a process plant. The method includes receiving a control narrative comprising one or more control requirements of the industrial process, and extracting a plurality of control entities and a plurality of set points, from the control narrative using one or more sets of predetermined regular expressions and one or more models. The method further includes identifying a set of inputs, outputs and control elements from the plurality of control entities using a domain dictionary, detecting a plurality of actions from the control narrative using an intent classifier, identifying a relationship between the set of inputs, outputs and control elements, the plurality of set points, and the plurality of actions, and generating based on the relationship identified the control logic for the controller to perform the process.

Method and system to generate control logic for performing industrial processes

Illustrative embodiments of systems and methods for providing interoperability between multiple data providers and/or customers are disclosed. In some embodiments, a method may include receiving, by a first server, a second gateway associated with a second server, wherein the second gateway is configured to translate data into a second protocol associated with the second server; deploying, by the first server, the second gateway on the first server; receiving, by the first server, a first request for first data from the second server; transferring, by the first server in response to receiving the first request, the first data into the second gateway; and translating, by the second gateway, the first data into the second protocol.

Cloud interoperability

The invention relates to managing a plurality of subsystems of a process plant. The process plant is controlled using a Distributed Control System (DCS) with a plurality of databases distributed within the process plant, wherein each database comprises information corresponding to at least one subsystem of the plurality of subsystems. The method comprises receiving a query at a human machine interface of the DCS, wherein the query is of a predetermined type and is associated with at least one of an operation and health of a subsystem. The method further comprises identifying at a server of the DCS, a database comprising information corresponding to the subsystem. Furthermore, the method comprises processing the query based on the information corresponding to the subsystem. In addition, the method comprises utilizing the DCS to control the operation of the subsystem by controlling process parameters of the process in one or more subsystems.

Method for managing subsystems of a process plant using a distributed control system

Growing community of inventors

Karnataka, India

Divyasheel Sharma