Abstract: Industrial automation data staging and transformation (e.g., using a computerized tool) is enabled.

Abstract: Industrial automation relational data extraction, connection, and mapping (e.g., using a computerized tool) is enabled. For example, a system can comprise: a memory that stores executable components, and a processor, operatively coupled to the memory, that executes the executable components, the executable components comprising: a device interface component that matches industrial relational data, accessible via an industrial asset model, to an industrial device represented in the industrial asset model, and in response to matching the industrial relational data to the industrial device, extracts the industrial relational data into the industrial asset model, and a model update component that updates the industrial asset model, resulting in an updated industrial asset model, wherein updating the industrial asset model comprises associating the industrial relational data with the industrial device.

Abstract: Industrial asset model versioning control and access (e.g., using a computerized tool) is enabled. For example, a system can comprise: a memory that stores executable components, and a processor, operatively coupled to the memory, that executes the executable components, the executable components comprising: a model update component that, based on a change to a first version of an industrial asset model, updates the industrial asset model, resulting in a second version of the industrial asset model, and a versioning component that stores the second version of the industrial asset model in an industrial asset model data store.

Abstract: Industrial automation data quality and analysis (e.g., using a computerized tool) is enabled. For example, a system can comprise: a memory that stores executable components, and a processor, operatively coupled to the memory, that executes the executable components, the executable components comprising: a device interface component that retrieves industrial data from an industrial device represented in an industrial asset model, wherein the industrial data comprises control data applicable to the industrial device and timestamp data generated by the industrial device concurrently with the control data, a quality component that, based on the control data and the timestamp data, determines a quality indicator applicable to the control data, and an output component that, based on the quality indicator, generates an output representative of a quality of the control data.

Abstract: Conditional industrial data source connection (e.g., using a computerized tool) is enabled. For example, a system can comprise: a memory that stores executable components, and a processor, operatively coupled to the memory, that executes the executable components, the executable components comprising: a model condition component that determines whether a defined data connection condition, applicable to an industrial asset model, has been satisfied; and a device interface component that in response to the defined data connection condition being determined to be satisfied, determines data path information representative of a data path to be traversed to obtain industrial data associated with the defined data connection condition, and establishes a data connection along the data path.

Abstract: Industrial data destination transformation (e.g., using a computerized tool) is enabled. For example, a system can comprise: a memory that stores executable components, and a processor, operatively coupled to the memory, that executes the executable components, the executable components comprising: a device interface component that, in response to determining a data path to be traversed to obtain industrial data, establishes a data connection along the data path from the industrial data to an industrial asset model, and a data transformation component that, in response to a determination that the industrial data comprises a first data format, converts the industrial data from the first data format to a second data format, wherein the second data format is compatible with the industrial asset model.

Abstract: Industrial asset model rollback (e.g., using a computerized tool) is enabled. For example, a system can comprise: a memory that stores executable components, and a processor, operatively coupled to the memory, that executes the executable components, the executable components comprising: a model condition component that determines whether a defined revert condition, applicable to an industrial asset model, has been satisfied, and a versioning component that, in response to the defined revert condition being determined to be satisfied, reverts the industrial asset model from a second version of the industrial asset model to a first version of the industrial asset model.

Abstract: Industrial data source writeback (e.g., using a computerized tool) is enabled. For example, a system can comprise: a memory that stores executable components, and a processor, operatively coupled to the memory, that executes the executable components, the executable components comprising: a change component that, using an industrial asset model, determines a change applicable to an industrial device represented in the industrial asset model, a model update component that, based on the change, updates the industrial asset model, resulting in an updated industrial asset model, and a device interface component that, based on the change and using the industrial asset model, applies the change to the industrial device.

Abstract: Industrial data extraction (e.g., using a computerized tool) is enabled. For example, a system can comprise: a memory that stores executable components, and a processor, operatively coupled to the memory, that executes the executable components, the executable components comprising: a device interface component that matches industrial data, accessible via an industrial asset model and determined not to be represented in the industrial asset model, to an industrial device represented in the industrial asset model, and in response to matching the industrial data to the industrial device, extracts the industrial data into the industrial asset model, and a model update component that updates the industrial asset model, resulting in an updated industrial asset model, wherein updating the industrial asset model comprises associating the industrial data with the industrial device.

Abstract: A cloud-based edge-as-as-service (EaaS) system allows edge gateways to be easily configured and deployed on the cloud for collection, contextualization, and egress of industrial data to downstream applications, including analytic applications, work order management systems, or visualization systems. The EaaS system uses predefined device profiles to automatically discover relevant data items on plant floor devices and present these data items to a user. Model configuration interfaces served by the EaaS system allow the user to map selected data items to predefined models for organizing or contextualizing the selected data, and for egressing the contextualized data to the target applications. These model configurations can be deployed on the cloud platform as edge gateways that use the resulting information models to collect and contextualize relevant items of device data during runtime and to export the modeled data to the target application.

Abstract: A cloud-based edge-as-as-service (EaaS) system allows edge gateways to be easily configured and deployed on the cloud for collection, contextualization, and egress of industrial data to downstream applications, including analytic applications, work order management systems, or visualization systems. The EaaS system uses predefined device profiles to automatically discover relevant data items on plant floor devices and present these data items to a user. Model configuration interfaces served by the EaaS system allow the user to map selected data items to predefined models for organizing or contextualizing the selected data, and for egressing the contextualized data to the target applications. These model configurations can be deployed on the cloud platform as edge gateways that use the resulting information models to collect and contextualize relevant items of device data during runtime and to export the modeled data to the target application.

Abstract: A cloud-based edge-as-as-service (EaaS) system allows edge gateways to be easily configured and deployed on the cloud for collection, contextualization, and egress of industrial data to downstream applications, including analytic applications, work order management systems, or visualization systems. The EaaS system uses predefined device profiles to automatically discover relevant data items on plant floor devices and present these data items to a user. Model configuration interfaces served by the EaaS system allow the user to map selected data items to predefined models for organizing or contextualizing the selected data, and for egressing the contextualized data to the target applications. These model configurations can be deployed on the cloud platform as edge gateways that use the resulting information models to collect and contextualize relevant items of device data during runtime and to export the modeled data to the target application.

Abstract: An industrial information hub (IIH) serves as a single industrial ecosystem platform where multiple participants can deliver repeatable and standardized services relevant to their core competencies. The IIH system can interface with a work order management system to facilitate automated creation and submission of work orders for maintenance tasks. To this end, the IIH system can monitor real-time data from industrial devices and identify conditions indicative of a performance issue requiring a maintenance action. When such a condition is identified, the IIH system can initiate creation of a work order in the work order management system for tracking and recording of the maintenance task.

Abstract: An industrial information hub (IIH) serves as a single industrial ecosystem platform where multiple participants can deliver repeatable and standardized services relevant to their core competencies. The IIH system can interface with a work order management system to facilitate automated creation and submission of work orders for maintenance tasks. To this end, the IIH system can monitor real-time data from industrial devices and identify conditions indicative of a performance issue requiring a maintenance action. When such a condition is identified, the IIH system can initiate creation of a work order in the work order management system for tracking and recording of the maintenance task.

Abstract: An industrial information hub (IIH) and an industrial development hub (IDH) serve as an industrial ecosystem platform where multiple participants can deliver repeatable and standardized services relevant to their core competencies. The IIH system is centered around the development of an ecosystem that creates and delivers value to users—including industrial enterprises, OEMs, system integrators, vendors, etc.—through the aggregation of digital content and domain expertise. The IIH system serves as a trusted information broker between the ecosystem and the OT environments of plant facilities, and provides a platform for connecting assets, contextualizing asset data and providing secure access to the ecosystem. As part of this ecosystem, the IIH system uses a secure remote access architecture to allow users to remotely access data on their plant floor assets via a virtual private network connection.