Abstract: An industrial workflow tracking and identification system captures optimal employee workflows for addressing maintenance issues or operating industrial systems, and renders these workflows at appropriate times in order to guide operators and maintenance personnel through optimal sequences for carrying out operations or addressing maintenance issues. The system monitors and indexes both plant-wide system data as well as employee behaviors, and identifies correlations between operational outcomes and user workflows. In this way, the system tracks and captures optimal employee workflows for addressing particular maintenance issues, performing certain procedures, or achieving preferred production outcomes.

Abstract: An industrial control program development system allows a user to set metadata attributes for respective data items in the controller that indicate which of the data tags are to be monitored and collected by a separate industrial data historian system. When the industrial controller is deployed on a plant network, the data historian system reads the metadata attributes for the respective data items (e.g., data tags or data logs) defined in the controller and configures itself to collect and store data associated with the subset of data items that have been flagged for data collection. This system mitigates the need to manually configure the data historian with the identities of the data items that are to be monitored and collected for historical or reporting purposes.

Abstract: An industrial search and diagnosis system discovers available data items across heterogeneous data platforms that make up an industrial enterprise and indexes the data items in a unified searchable namespace. The system also indexes non-textual or multimedia input, including image data, video data, and audio data. This multimedia data can be indexed by the system in association with the relevant industrial systems (e.g., machines, automation systems, devices, production lines, etc.) so that the system can provide the multimedia data to the user when the relevant industrial systems are searched or invoked. The system also accepts and processes multimedia data from as search criteria or for diagnostic analysis. In an example analysis, users can submit images, audio, or video of an industrial machine or automation system, and the diagnosis system can identify an operational abnormality based on comparative analysis performed on the multimedia information.

Abstract: A industrial visualization system generates augmented reality presentations for rendering on a user's wearable computer as the user traverses an industrial facility. The system can leverage data indexed in a federated data model that unifies plant-wide data from multiple diverse sources under a common namespace. By leveraging the unified plant data and interacting with a wearable computer worn by a user, the augmented reality presentation system provides automation system data, notifications, and proactive guidance to a user via modification of the user's view of his or her immediate surroundings. Such modifications can include superimposing data values or indicators on the user's view of a machine or automation system through the user's wearable computer. The system can customize presentation of this information based on the user's role, location, line of sight, type of wearable device, and/or other contextual information.

Abstract: A industrial visualization system generates augmented reality presentations for rendering on a user's wearable computer as the user traverses an industrial facility. The system can leverage data indexed in a federated data model that unifies plant-wide data from multiple diverse sources under a common namespace. By leveraging the unified plant data and interacting with a wearable computer worn by a user, the augmented reality presentation system provides automation system data, notifications, and proactive guidance to a user via modification of the user's view of his or her immediate surroundings. Such modifications can include superimposing data values or indicators on the user's view of a machine or automation system through the user's wearable computer. The system can customize presentation of this information based on the user's role, location, line of sight, type of wearable device, and/or other contextual information.

Abstract: An industrial data indexing system facilitates discovery and indexing of plant-wide data residing on multiple different data platforms. The indexing system automatically inventories industrial devices and other data sources located throughout a plant, and identifies available data items on each data source. The indexing system indexes the discovered data items in a federated data model that can subsequently be searched to locate data items or tags of interest. The federated data model records references to data items found on different types of data sources, including but not limited to industrial controller programs, human-machine interface applications, data historians, device documentation stores, inventory tracking systems, and other such data sources. The search system also caches selected portions of the data model to a user's personal device to allow these potions of the model to be accessed locally on the user's device without being online with the higher level indexing system.

Abstract: An industrial workflow tracking and identification system captures optimal employee workflows for addressing maintenance issues or operating industrial systems, and renders these workflows at appropriate times in order to guide operators and maintenance personnel through optimal sequences for carrying out operations or addressing maintenance issues. The system monitors and indexes both plant-wide system data as well as employee behaviors, and identifies correlations between operational outcomes and user workflows. In this way, the system tracks and captures optimal employee workflows for addressing particular maintenance issues, performing certain procedures, or achieving preferred production outcomes.

Abstract: An industrial search and diagnosis system discovers available data items across heterogeneous data platforms that make up an industrial enterprise and indexes the data items in a unified searchable namespace. The system also indexes non-textual or multimedia input, including image data, video data, and audio data. This multimedia data can be indexed by the system in association with the relevant industrial systems (e.g., machines, automation systems, devices, production lines, etc.) so that the system can provide the multimedia data to the user when the relevant industrial systems are searched or invoked. The system also accepts and processes multimedia data from as search criteria or for diagnostic analysis. In an example analysis, users can submit images, audio, or video of an industrial machine or automation system, and the diagnosis system can identify an operational abnormality based on comparative analysis performed on the multimedia information.

Abstract: A cloud-based remote industrial automation site operation system leverages a wide array of configuration and operational data generated by industrial assets of an industrial enterprise to facilitate remote control of automation systems from a cloud platform. Status and operational data generated by industrial assets on the plant floor is migrated to the cloud platform where the remote site operation system resides. The system performs substantially real-time control functions for one or more plant-side automation systems from the cloud platform based on the collected data and one or more control programs that execute on the cloud platform. In this way, the cloud-based services can allow geographically diverse industrial systems to be collectively controlled using a centralized, cloud-based virtual controller. The system can also provide control backup services, allowing control to be switched from a local controller to the cloud-based control in the event of a failure at the local controller.

Abstract: A cloud-based diagnosis and maintenance system facilitates discovery and indexing of plant-wide data residing on various data platforms across multiple industrial facilities. The system includes an indexing system that automatically inventories industrial devices and other data sources located throughout the facilities, and identifies available data items on each data source. The indexing system indexes the discovered data items in a federated data model that can subsequently be searched to locate data items or tags of interest. The diagnosis and maintenance system also includes analysis tools that facilitate cross-facility analysis of the data model, allowing performance metrics to be compared across similar automation systems at different facilities. The system can also generate recommendations for improving performance metrics based on results of the comparative analysis.

Abstract: An industrial control program development system allows a user to set metadata attributes for respective data items in the controller that indicate which of the data tags are to be monitored and collected by a separate industrial data historian system. When the industrial controller is deployed on a plant network, the data historian system reads the metadata attributes for the respective data items (e.g., data tags or data logs) defined in the controller and configures itself to collect and store data associated with the subset of data items that have been flagged for data collection. This system mitigates the need to manually configure the data historian with the identities of the data items that are to be monitored and collected for historical or reporting purposes.