Honeywell International Inc.

Prangya Priyadarsini

Ramakrishnan Ganapathi

Anand Narayan

Viraj Srivastava

Rakshitha Prabhu

Ananthapadmanabha Krishnamurthy

Prasad Panambur Kamath

Suresh Thombare

A system processes historical facility data that relate to facility states and modes of operation. The historical facility data are clustered into groups representing the facility states and the modes of operation. The groups are used to determine a current state and mode of the facility. When the facility is in a normal state, the system determines whether an event in the facility is an abnormality. If an abnormality is identified, the system transmits a signal indicating the abnormality.

Identification of facility state and operating mode in a particular event context

A method, electronic device and system are provided for collecting information associated with operational changes made by plant operators. Episodes of operational changes are identified that include a triggering event and the operational changes performed are reviewed and compared to standard operating data or historical data. The operational changes that differ from such standard operating data or historical data are classified as inadvertent operations based upon a set of pre-determined characteristics. Training may follow to avoid recurrence of such inadvertent operations in the future.

Method to detect skill gap of operators making frequent inadvertent changes to the process variables

A method and the corresponding apparatus are carried out to interpret custom graphics to compile all of the equipment and relationships of the equipment, controls, the relative hierarchy of the graphics and other elements in a manufacturing plant and to then use all of that information to produce a standard operating procedure.

Identification of process and control linkages from custom graphics for the purpose of backbuilding standard operating procedures

An apparatus, method, and non-transitory machine-readable medium provide for accurate automatic determination of alarm-operator action linkage for operator assessment and alarm guidance using custom graphics and control charts. The apparatus includes a memory and a processor operably connected to the memory. The processor receives process control system data regarding a field device in an industrial process control and automation system; extracts information from the process control system data; generates a tuple based on the extracted information; and performs a rectifying operation in the industrial process control and automation system based on the generated tuple of the field device.

System and method for accurate automatic determination of 'alarm-operator action' linkage for operator assessment and alarm guidance using custom graphics and control charts

A method includes receiving a plurality of legacy graphics files associated with a control system for an industrial process, each legacy graphics file comprising a plurality of legacy graphics objects. The method also includes parsing the legacy graphics files to identify primitive graphic objects in each legacy graphics file. The method also includes determining relationships among the identified primitive graphic objects to determine a group of primitive graphic objects that form one component of the industrial process. The method also includes determining one or more patterns among the identified primitive graphic objects. The method also includes saving the one or more patterns in a pattern library.

Objects aggregation and standardization for legacy graphics conversion

A method includes receiving one or more operating conditions from one or more field devices of one or more industrial plants in response to receiving one or more alarm signals. The method also includes determining one or more industrial plant states based on the one or more operating conditions. The method further includes identifying one or more historical alarm episodes stored in one or more data stores based on the one or more industrial plant states. In addition, the method includes identifying one or more recommended historical alarm episodes of the one or more historical alarm episodes based on one or more benchmark metrics of the one or more historical alarm episodes. The method also includes generating the one or more recommended historical alarm episodes for display on a user interface.

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Karnataka, India

Prangya Priyadarsini