Abb Schweiz Ag

Raoul Jetley

Mario Hoernicke

Dirk Schulz

Katharina Stark

Shrikant Bhat

Divyasheel Sharma

Vadthyavath Ramu

Will Baylor Snipes

Aparajithan Vaidyanathan

Srini Ramaswamy

Abdulla Puthan Peedikayil

An intent-based automation engineering method for automation of a production process includes: receiving an intent model, correlating to process intent, including production process functions, constraints on measurable properties on the production process functions, and/or production process function sequences required for the production process, as a received intent model; receiving a process model, correlating to process knowledge including a production process behavior, as a received process model; determining a machine-readable production model linking the received intent model to the received process model as a provided production model; and determining a control strategy for controlling the production process dependent on the provided production model as a determined control strategy.

Intent-based automation engineering method

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

A method () for configuring one or more components of a process plant includes receiving () a change request () and receiving () a system dependency graph () corresponding to the process plant. The method () further includes selecting () a subset of components () among the plurality of components based on configuration of the process plant and identifying () a subset of nodes () among the plurality of nodes by traversing a path in the system dependent graph (). The method () also includes computing () an impact parameter () value based on a traversed path and computing () a plurality of change parameter values () based on the traversed path. The method () further includes determining () an effort estimate () based on the impact parameter () value and the plurality of change parameter values () using a machine learning technique.

System and method for effort estimation

In an embodiment, the present disclosure discloses a method and a module for controlling data transfer in a manufacturing plant. The IoT module is configured to receive a request for a plurality of parameters from a second application from one or more applications. The request is made by a first application from the one or more applications. The IoT module determines status of the requested parameters. The status indicates if the requested parameters are authorized for sharing. Further, the IoT module transfers only the authorized parameters to the first module based on the status. Thus, the present disclosure provides a method and a IoT module for sharing data securely within the manufacturing plant.

Method of controlling data transfer in a manufacturing plant and a system thereof

A method for detection of harmful process intent in an intent-based production process includes: providing a machine-readable production model linking an intent model, correlating to process intent, including production process functions, constraints on measurable properties on the production process functions, and/or production process function sequences required for the production process, and a process model, correlating to process knowledge comprising a production process behavior; determining a safety library of at least one safety process intent, the safety library being protected by security mechanisms to be maintained outside of regular intent-based engineering mechanisms and operation mechanisms; evaluating changes of process intent in view of potentially harmful process intent dependent on the at least one safety process intent; and providing a report of potentially harmful process intent for auditing based on the potentially harmful process intent.

Detection of harmful process intent in an intent-based production process

In aspects, the present invention discloses a method of configuring a plurality of devices of a control system using a configuration server connected to a plurality of data repositories using an engineering data gateway. The method comprises retrieving a first data set from a first data repository from the plurality of data repositories, retrieving a second data set associated with the first data set from a second data repositories from the plurality of data repositories, identifying at least one functional dependencies among the first data set and the second data set, generating a plurality of engineering artifacts including a configuration file, and transmitting the configuration file to a corresponding device from the plurality of devices.

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Karnataka, India

Raoul Jetley