A system and method for providing a configuration for data extraction from an automation system includes a signal selection agent configured to: receive a user selection of at least one module of the automation system; generate, for display to the user, a user interface identifying one or more selectable signals associated with the selected module and displaying one or more guidance elements comprising data mined from data sources pertaining to the automation system for guiding the user in the selection of relevant signals; receive a user selection of one or more of the selectable signals; and automatically generate the configuration for data extraction on the basis of the selected signals.

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.

A distributed control system may include a main processing unit, a distributed control module, and a controllable component. The distributed control module may be configured to receive a nominal command reference from the main processing unit, determine a series of cumulating command references based at least in part on the nominal command reference; and output a series of cumulating control commands to the controllable component. The series of cumulating control commands may be based at least in part on the series of cumulating command references.

A system for preventing inadvertent or untimely parameter changes to an active online field device from a secondary system different from a distributed control system application providing control instructions to the field device, where the parameter changes may cause detrimental effects to a plant process or activity. A request for a parameter change from the secondary system may be intercepted before the request is received by a field device or a controller for evaluation by an operator of the distributed control system. The validation process may provide a plant operator with override authority to approve or deny a set of critical parameter changes to an active field device or other active plant device.

A system is provided. The system includes a first platform including a first platform level agent configured to direct one or more actions of the first platform based on at least one of a selected target or a selected goal. The system also includes a computer system in communication with the first platform level agent. The computer system programmed to a) execute a supervisor level agent configured to select at least one of a target or a goal for one or more platforms including the first platform, b) receive targeting information including one or more targets, c) receive platform information for the one or more platforms, d) select, by the supervisor level agent, a target of the one or more targets based on the target information and the platform information, and e) transmit, to the first platform level agent, the selected target.

An apparatus is disclosed that is used in an industrial process control and automation system that operates using an open platform data communication protocol. The apparatus includes a processor and a memory, and a communications interface connected to at least one process instrument and arranged to transmit instructions to and receive data from the at least one process instrument and to a data network of the industrial process control and automation system that communicates using the open platform data communication protocol. The apparatus memory contains a system repository file containing process data information sent to the apparatus from the at least one process instrument, a stored function block definition file containing function blocks that define a control strategy for controlling the at least one process instrument and an engineering repository containing the characteristics and parameters for the function blocks associated with the at least one process instrument. The processor operates to communicate the process data from the system repository file to the industrial process control and automation system using the open platform data communication protocol and to receive instructions from the industrial process control and automation system to execute the control strategy.

The present invention relates to a method and a system for controlling a process of a process plant. Hie system is configured to control a process in the process plant by recommending control operations and perform the control operations. The system obtains the control operations and detects availability of control room operators using historical data related to actions performed by the control room operators, sensory parameters of the control room operators and a status associated with the process. The system provides queries related to the control operations, the plant parameters, status of the process to the control room operators upon detecting the availability. Hie queries are validated by the control room operators. The system thereafter autonomously controls tire control room based on the validated data.

A distributed multi-node control system (100) and method, relating to the field of control technology. The distributed multi-node control system (100) comprises: a first control node (11), a second control node (12), a plurality of servo nodes (20) and a plurality of execution devices (30), the first control node (11) and the second control node (12) being respectively communicationally connected to the plurality of servo nodes (20), the servo nodes (20) being electrically connected to the execution devices (30) and configured to control operating states of the corresponding execution devices (30), the first control node (11) being configured to control an operating state of at least one first servo node (21) among the plurality of servo nodes (20), the second control node (12) being configured to control an operating state of at least one second servo node (22) among the plurality of servo nodes (20).

A distributed motor control system includes motor control devices that individually control motors that coordinately drive an industrial machine. Each of at least two motor control devices of the motor control devices includes processing circuitry that performs sharing processing including sharing coordinated control data, used in coordinated driving of the industrial machine between the at least two motor control devices, via data communication, and control a corresponding motor using the coordinated control data shared via the sharing-processing.

High availability and data migration in a distributed process control computing environment. Allocation algorithms distribute data and applications among available compute nodes, such as controllers in a process control system. In the process control system, an input/output device, such as a fieldbus module, can be used by any controller. Databases store critical execution information for immediate takeover by a backup compute element. The compute nodes are configured to execute algorithms for mitigating dead time in the distributed computing environment.