A field device, method, and non-transitory computer readable medium provide for cost of lost opportunity to operators in real-time using an advance process control. The field device includes a memory and a processor operably connected to the memory. The processor receives current values and average values for controlled variables and manipulated variables; determines costs of lost opportunity for each of controlled variable variance issues, limit issues, model quality issues, inferential quality issues, and variable model issues based on the current values and the average values of the controlled variables; and stores the costs of lost opportunity for the field device.

A field device, method, and non-transitory computer readable medium provide for cost of lost opportunity to operators in real-time using an advance process control. The field device includes a memory and a processor operably connected to the memory. The processor receives current values and average values for controlled variables and manipulated variables; determines costs of lost opportunity for each of controlled variable variance issues, limit issues, model quality issues, inferential quality issues, and variable model issues based on the current values and the average values of the controlled variables; and stores the costs of lost opportunity for the field device.

An operation control device for controlling operation of an operation device with respect to an operation object includes: operation logic unit that stores in advance an operation logic related to sensor information; virtual object setting unit that sets an operation object to be estimated based on sensor information, as a virtual operation object having an attribute related to presence probability and an operation-related attribute; virtual object operation determination unit that determines whether it is possible to perform an operation with respect to the virtual operation object, based on the attribute related to a presence probability and the operation-related attribute; and operation control unit that controls an operation of the operation device with respect to the operation object by using an operation logic stored in the operation logic means, based on sensor information output from the sensor and a determination result by the virtual object operation determination unit.

A method and system for automatically determining a processing path is provided. The method includes generating an input criteria associated with performing a hardware apparatus implemented process. Metadata describing the input criteria is generated and stored. Weighting factors associated with the metadata are generated and a specialized hardware apparatus executing the hardware apparatus implemented process is enabled. Measurement characteristics associated with conditions resulting from the specialized hardware apparatus executing the hardware apparatus implemented process are retrieved from a plurality of hardware sensors. A resource database catalog for hardware based data processing resources is queried and an optimization process for determining an optimized processing path for processing the metadata with respect to the resource database hardware based data and the measurement characteristics is executed. The optimized processing path is executed resulting in specified control decisions associated with controlling the specialized hardware apparatus.

A method and system for automatically determining a processing path is provided. The method includes generating an input criteria associated with performing a hardware apparatus implemented process. Metadata describing the input criteria is generated and stored. Weighting factors associated with the metadata are generated and a specialized hardware apparatus executing the hardware apparatus implemented process is enabled. Measurement characteristics associated with conditions resulting from the specialized hardware apparatus executing the hardware apparatus implemented process are retrieved from a plurality of hardware sensors. A resource database catalog for hardware based data processing resources is queried and an optimization process for determining an optimized processing path for processing the metadata with respect to the resource database hardware based data and the measurement characteristics is executed. The optimized processing path is executed resulting in specified control decisions associated with controlling the specialized hardware apparatus.

A system that predicts an apparatus state of a plasma processing apparatus including a processing chamber in which a sample is processed is configured to have a data recording unit that records emission data of plasma during processing of the sample and electrical signal data obtained from the apparatus during the plasma processing, an arithmetic unit that includes a first calculation unit for calculating a first soundness index value of the plasma processing apparatus and a first threshold for an abnormality determination using a first algorithm with respect to the recorded emission data and a second calculation unit for calculating a second soundness index value of the plasma processing apparatus and a second threshold for the abnormality determination using a second algorithm with respect to the electrical signal data recorded in the data recording unit, and a determination unit that determines soundness of the plasma processing apparatus using the calculated first soundness index value and the first threshold and the calculated second soundness index value and the second threshold.

An electronic controller of a valve actuator predictively calculates motor inputs that will cause the actuator to apply desired forces or torques to a valve. A force/torque sensor of the actuator measures applied force or torque at the motor output and/or valve to verify the applied force or torque and enable updating of calibration settings as needed. Upon failure of the force/torque sensor, embodiments continue predictive operation without sensor verification or calibration updates. Upon failure of the predictive control, embodiments continue valve actuation under reactive control via the force/torque sensor. Connection to a calibration valve simulator enables embodiments to perform an initial self-calibration using the force/torque sensor of the actuator. The motor can be a variable frequency driven AC motor or a DC motor. The calibration can incorporate mechanical properties of an actuator gear train.

Systems and methods are described for unified processing of indexed and streaming data. A system enables users to query indexed data or specify processing pipelines to be applied to streaming data. In some instances, a user may specify a query intended to be run against indexed data, but may specify criteria that includes not-yet-indexed data (e.g., a future time frame). The system may convert the query into a data processing pipeline applied to not-yet-indexed data, thus increasing the efficiency of the system. Similarly, in some instances, a user may specify a data processing pipeline to be applied to a data stream, but specify criteria including data items outside the data stream. For example, a user may wish to apply the pipeline retroactively, to data items that have already exited the data stream. The system can convert the pipeline into a query against indexed data to satisfy the users processing requirements.

Systems and methods are described for unified processing of indexed and streaming data. A system enables users to query indexed data or specify processing pipelines to be applied to streaming data. In some instances, a user may specify a query intended to be run against indexed data, but may specify criteria that includes not-yet-indexed data (e.g., a future time frame). The system may convert the query into a data processing pipeline applied to not-yet-indexed data, thus increasing the efficiency of the system. Similarly, in some instances, a user may specify a data processing pipeline to be applied to a data stream, but specify criteria including data items outside the data stream. For example, a user may wish to apply the pipeline retroactively, to data items that have already exited the data stream. The system can convert the pipeline into a query against indexed data to satisfy the users processing requirements.

Implementations are described herein for offline computation and caching of precalculated joint trajectories. In various implementations, an instruction may be obtained to move an end effector of a robot between start and target positions. A first type of trajectory planning may be performed in real time or online to calculate a first joint trajectory of the robot that moves the end effector from the start to target position. The robot may then implement the first joint trajectory. A second type of trajectory planning may be performed offline, e.g., during downtime of the robot, to precalculate a second joint trajectory of the robot to move the end effector from the start to target position. The second type of trajectory planning may require more resources than were required by the first type of trajectory planning. Data indicative of the precalculated second joint trajectory of the robot may be stored for future use.