Abstract: Predetermined Key Performance Indicators (KPIs) of an industrial process may be predicted. A plurality of tags each identify a corresponding KPI of the industrial process and historical values for the KPIs that are identified by the plurality of tags. A KPI forecast model is trained for each of the KPIs that are identified by the plurality of tags, wherein each of the KPI forecast models is trained based at least in part on the received historical values for at least some of the KPIs that are identified by the plurality of tags. A forecasted KPI value is generated for each of the KPIs identified by the plurality of tags based at least in part on the corresponding KPI forecast model that corresponds to the respective KPI.

Abstract: A plurality of tags each identify a corresponding process parameter of an industrial process and historical values for the process parameter. A parameter forecast model is trained for each of the parameters that are identified by the plurality of tags, wherein each of the parameter forecast models is trained based at least in part on the received historical values for at least some of the parameters that are identified by the plurality of tags. A forecasted parameter value is generated for each of the parameters identified by the plurality of tags based at least in part on the corresponding parameter forecast model that corresponds to the respective parameter. A plurality of forecasted steady state periods and a plurality of forecasted transient state periods are predicted for each of one or more of the identified parameters.

Abstract: Predetermined Key Performance Indicators (KPIs) of an industrial process may be predicted. A plurality of tags each identify a corresponding KPI of the industrial process and historical values for the KPIs that are identified by the plurality of tags. A KPI forecast model is trained for each of the KPIs that are identified by the plurality of tags, wherein each of the KPI forecast models is trained based at least in part on the received historical values for at least some of the KPIs that are identified by the plurality of tags. A forecasted KPI value is generated for each of the KPIs identified by the plurality of tags based at least in part on the corresponding KPI forecast model that corresponds to the respective KPI.

Abstract: A method and device is provided that uses historical process data for an industrial process run by an industrial process control and automation system having processing equipment and identified by tag names. The tag names and process data are stored in a database, and a processor and a memory implement a Key Performance Indicator (KPI) tag system, that identifies primary and secondary KPIs from the list of tag names and data values stored in the database and extracts a set of KPI tags from the primary and secondary KPIs storing the extracted KPI tags in the memory. In another embodiment the KPI tag system imports all of the Human Machine Interface (HMI) display files used in the industrial process and identifies the display file tag names and links to other HMI display files. Using an asset model of the process plant and the links to the other HMI displays, the Level 1 HMI displays are identified and KPI tag system generates and stores the KPI tags for the identified Level 1 HMI displays.

Abstract: 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.

Abstract: A method includes monitoring an industrial process for an occurrence of a particular process abnormality and in response to finding the occurrence of the particular process abnormality, monitoring a control action response provided by a particular process operator. A determination is made as to whether the control action response provided by the particular process operator meets a benchmark control action response. When the control action response provided by the particular process operator does not meet the benchmark control action response, a simulation profile is created that when entered into a process simulator that is configured to simulate the industrial process, recreates the occurrence of the particular process abnormality in the process simulator to allow the particular process operator to practice providing control action responses in response to the particular process abnormality.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: A method, an electronic device and computer readable medium is provided. The method includes information associated with operational changes by personnel that operate an industrial plant. The method also includes identifying episodes of the operational changes, wherein each episode includes a triggering event and operational changes. The method also includes generating a causal pairing matrix that categorizes the identified episodes into a plurality of groupings, based on the triggering event of each of the at least two episodes being similar. The method further includes analyzing the at least two episodes to identify one of the at least two episodes as a bench mark episode, within each group. The method also includes comparing each of the at least two episodes to the identified bench mark episode to rank the at least two episodes, within each of the groups. The method further includes generating a report for the plurality of groupings.

Abstract: A field device firewall includes a processor that runs a cyber-protection algorithm, and a memory storing a list of device types, requests and commands. The field device firewall is adapted for use in a communications network between a field network communication interface coupled to a field device and a process controller. The field device firewall does not support any native communications with the field device and also lacks an IP address. The cyber-protection algorithm implements comparing information in a received packet to the stored list, allowing transmission of the received packet to the field device if the comparing determines the information is on the stored list, and blocking transmission of the received packet to the field device if the comparing determines the information is not on the stored list.

Abstract: A field device firewall includes a processor that runs a cyber-protection algorithm, and a memory storing a list of device types, requests and commands. The field device firewall is adapted for use in a communications network between a field network communication interface coupled to a field device and a process controller. The field device firewall does not support any native communications with the field device and also lacks an IP address. The cyber-protection algorithm implements comparing information in a received packet to the stored list, allowing transmission of the received packet to the field device if the comparing determines the information is on the stored list, and blocking transmission of the received packet to the field. device if the comparing determines the information is not on the stored list.

Abstract: An apparatus includes at least one processing device configured to generate a three-dimensional (3D) virtual object corresponding to an industrial asset and map data to the 3D virtual object to generate a virtual representation of the industrial asset. The apparatus also includes a display configured to display the virtual representation. The at least one processing device may be configured to generate the 3D virtual object using at least one image of the industrial asset. The at least one processing device may be configured to generate the virtual representation identifying multiple sub-components of the industrial asset and to map the data to different sub-components of the industrial asset.

Abstract: The present invention is directed to the selective provision of interference canceled signal streams to demodulating fingers in a communication receiver. According to the present invention, potential interferer signal paths are identified. Signal streams having one or more potential interferer signals removed or canceled are created, and a correlation is performed to determine whether the strength of a desired signal path increased as a result. If the correlation indicates that the strength of a desired signal path was increased by the signal cancellation, the interference canceled signal stream is provided to the demodulation finger assigned to track the desired signal path. If the correlation determines that the strength of the desired signal path did not increase as a result of performing interference cancellation, the raw or a different interference canceled signal stream is provided to the demodulation finger.

Abstract: A system and method for wireless device synchronization is provided. A default connection is established between a first wireless device and a second wireless using default connection values. Unique address information is exchanged over the default connection. A unique connection is established between the first wireless device and the second wireless device.

Abstract: Disclosed is a knitted article, and a method of producing such an article, having at least one PTFE fiber with oriented fibrils forming multiple fiber cross-over points wherein PTFE fiber is self-bonded in at least one of the cross-over points.

Abstract: A method for remote control of devices. A remote control device receives a graphical user interface from a controlled device. The graphical user interface is periodically updated with controlled device data. The controlled device data is interrupted by command data from the remote control device. The controlled device responds to the command data and updates the graphical user interface.

Abstract: A receiver employs low-rate processing to synthesize the effect of high-rate interference in a received multi-rate signal. Each high-rate subchannel is analyzed on its low-rate descendents to produce symbol estimates for each low-rate symbol interval. The symbol estimates are applied to low-rate descendent subchannels, which are then combined to synthesize the effects of the high-rate interference. An interference canceller processes the synthesized interference with the received signal for producing an interference-cancelled signal. Alternatively, analogous steps may be applied at high-rate to analyze, synthesize, and cancel the effects of low-rate interference in a multi-rate signal.

Abstract: The present invention is directed to the selective provision of interference canceled signal streams to demodulating fingers in a communication receiver. According to the present invention, potential interferer signal paths are identified. Signal streams having one or more potential interferer signals removed or canceled are created, and a correlation is performed to determine whether the strength of a desired signal path increased as a result. If the correlation indicates that the strength of a desired signal path was increased by the signal cancellation, the interference canceled signal stream is provided to the demodulation finger assigned to track the desired signal path. If the correlation determines that the strength of the desired signal path did not increase as a result of performing interference cancellation, the raw or a different interference canceled signal stream is provided to the demodulation finger.