Abstract: An industrial analytic system includes a device interface component. The device interface component is configured to collect data from a plurality of analytic appliances and transfer the data to an analytic component. Each of the plurality of analytic appliances is configured to collect data from a respective set of devices of a plurality of sets of devices. The plurality of sets of devices perform a plurality of operations in one or more industrial systems.

Abstract: Provided herein are techniques related to an industrial system that may have a plurality of industrial automation devices, a database that has a plurality of location datasets that correspond to the plurality of industrial automation devices, and a monitoring system that may communicate with the industrial automation devices via a network and the database. The monitoring system may send a first request to the industrial automation devices in the industrial system to identify an industrial automation device having an active maintenance status. The active maintenance status may be indicative of a maintenance request for the industrial automation device. The monitoring system may send a second request to the database for a location dataset associated with the industrial automation device, generate a visualization that includes the active maintenance status and the location dataset associated with the industrial automation device, and display the visualization via an electronic display.

Abstract: An industrial controller within an industrial automation environment is provided. The industrial controller includes a programming logic controller, configured to control an industrial device, and a predictive module, coupled with the programming logic controller. The predictive module is configured to receive configuration data from the programming logic controller, create a user-defined controller tag, and transfer the user-defined controller tag to the programming logic controller. The predictive module is also configured to receive operational data from the programming logic controller, and calculate operation monitoring data and value estimation data based on the operational data. The predictive module is further configured to write the operation monitoring data and value estimation data to the user-defined controller tag.

Abstract: A conversation interface system provides remote access to manufacturing operation information using plain language message exchange. A cloud-based conversation interface service is exposed to an instant messaging application, and receives plain language queries from via the instant messaging application's interface requesting information relating to one or more industrial systems. The cloud-based system synchronizes the queries to one or more on-premise conversation interface agent devices residing at one or more plant facilities. The on-premise agent devices translate the queries and apply the translated queries to local sources of manufacturing operation data. The on-premise agent devices then generate and return response messages based on the retrieved information, and the cloud-based system directs the response messages the originators of the queries via the instant messaging interface.

Abstract: Provided herein are techniques related to an industrial system that may have a plurality of industrial automation devices, a database that has a plurality of location datasets that correspond to the plurality of industrial automation devices, and a monitoring system that may communicate with the industrial automation devices via a network and the database. The monitoring system may send a first request to the industrial automation devices in the industrial system to identify an industrial automation device having an active maintenance status. The active maintenance status may be indicative of a maintenance request for the industrial automation device. The monitoring system may send a second request to the database for a location dataset associated with the industrial automation device, generate a visualization that includes the active maintenance status and the location dataset associated with the industrial automation device, and display the visualization via an electronic display.

Abstract: An industrial analytic system includes a device interface component. The device interface component is configured to collect data from a plurality of analytic appliances and transfer the data to an analytic component. Each of the plurality of analytic appliances is configured to collect data from a respective set of devices of a plurality of sets of devices. The plurality of sets of devices perform a plurality of operations in one or more industrial systems.

Abstract: A computing device for collecting and preserving data acquired from various devices in a data model with the respective context of acquired data. The computing device may provide a user interface to receive the context or information model associated with a dataset. By providing data with its context, different software platforms may synthesize or analyze the retrieved data more efficiently. Moreover, the computing device may include transaction conditions to define a workflow for transferring the datasets using data model associated with one or more datasets for transmission of data to a destination. The transaction conditions may detail a custom workflow for data communication through an industrial automation system using the data model.

Abstract: Provided herein are techniques related to an industrial system that may have a plurality of industrial automation devices, a database that has a plurality of location datasets that correspond to the plurality of industrial automation devices, and a monitoring system that may communicate with the industrial automation devices via a network and the database. The monitoring system may send a first request to the industrial automation devices in the industrial system to identify an industrial automation device having an active maintenance status. The active maintenance status may be indicative of a maintenance request for the industrial automation device. The monitoring system may send a second request to the database for a location dataset associated with the industrial automation device, generate a visualization that includes the active maintenance status and the location dataset associated with the industrial automation device, and display the visualization via an electronic display.

Abstract: An industrial controller within an industrial automation environment is provided. The industrial controller includes a programming logic controller, configured to control an industrial device, and a predictive module, coupled with the programming logic controller. The predictive module is configured to receive configuration data from the programming logic controller, create a user-defined controller tag, and transfer the user-defined controller tag to the programming logic controller. The predictive module is also configured to receive operational data from the programming logic controller, and calculate operation monitoring data and value estimation data based on the operational data. The predictive module is further configured to write the operation monitoring data and value estimation data to the user-defined controller tag.

Abstract: The subject matter disclosed herein relates generally to industrial automation systems, and, more particularly, to collecting video streams from a variety of video devices in an industrial environment, identifying and analyzing potential problems in the industrial environment using the video streams, and presenting the video streams and data associated with the potential problem to appropriate recipients.

Abstract: An industrial controller within an industrial automation environment is provided. The industrial controller includes a programming logic controller, configured to control an industrial device, and a predictive module, coupled with the programming logic controller. The predictive module is configured to receive configuration data from the programming logic controller, create a user-defined controller tag, and transfer the user-defined controller tag to the programming logic controller. The predictive module is also configured to receive operational data from the programming logic controller, and calculate operation monitoring data and value estimation data based on the operational data. The predictive module is further configured to write the operation monitoring data and value estimation data to the user-defined controller tag.

Abstract: A multi-platform industrial search system facilitates indexing and searching of plant-wide data residing on multiple different data platforms. The industrial search system automatically inventories industrial devices and other data sources located throughout a plant, and identifies available data items on each data source. The search 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 can also initiate automated searches of the federated data model in response to detected performance issues and deliver notifications and contextual information to plant personnel.

Abstract: An industrial controller within an industrial automation environment is provided. The industrial controller includes a programming logic controller, configured to control an industrial device, and a predictive module, coupled with the programming logic controller. The predictive module is configured to receive configuration data from the programming logic controller, create a user-defined controller tag, and transfer the user-defined controller tag to the programming logic controller. The predictive module is also configured to receive operational data from the programming logic controller, and calculate operation monitoring data and value estimation data based on the operational data. The predictive module is further configured to write the operation monitoring data and value estimation data to the user-defined controller tag.

Abstract: Provided herein are techniques related to an industrial system that may have a plurality of industrial automation devices, a database that has a plurality of location datasets that correspond to the plurality of industrial automation devices, and a monitoring system that may communicate with the industrial automation devices via a network and the database. The monitoring system may send a first request to the industrial automation devices in the industrial system to identify an industrial automation device having an active maintenance status. The active maintenance status may be indicative of a maintenance request for the industrial automation device. The monitoring system may send a second request to the database for a location dataset associated with the industrial automation device, generate a visualization that includes the active maintenance status and the location dataset associated with the industrial automation device, and display the visualization via an electronic display.

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 portion of the model to be accessed locally on the user's device without being online with the higher level indexing system.

Abstract: A multi-platform industrial search and notification system performs automated and manually initiate information searches across multiple disparate industrial data platforms. The search system is built on a search platform that unifies plant-wide control system information from multiple diverse sources under a common namespace, or federated data model. The system can monitor this federated data model for conditions that may warrant attention by plant personnel, and deliver proactive notifications and operational data to selected users via their personal devices. The system can customize presentation of this data based on the user's role, location, and/or other contextual information. To this end, the system can automatically generate user-specific and context-specific dashboards, widgets, or other visualizations, and render these custom visualizations to the user at appropriate times.

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: The subject matter disclosed herein relates generally to industrial automation systems, and, more particularly, to collecting video streams from a variety of video devices in an industrial environment, identifying and analyzing potential problems in the industrial environment using the video streams, and presenting the video streams and data associated with the potential problem to appropriate recipients.

Abstract: The subject matter disclosed herein relates generally to industrial automation systems, and, more particularly, to collecting video streams from a variety of video devices in an industrial environment, identifying and analyzing potential problems in the industrial environment using the video streams, and presenting the video streams and data associated with the potential problem to appropriate recipients.

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.