Abstract: Cloud-aware industrial devices feed robust sets of data to a cloud-based data analyzer that executes as a service in a cloud platform. In addition to industrial data generated or collected by the industrial devices, the devices can provide device profile information to the cloud-based analyzer that identifies the device and relevant configuration information. The industrial devices can also provide customer data identifying an owner of the industrial devices, contact information for the owner, active service contracts, etc. The cloud-based data analyzer leverages this information to perform a variety of custom analytics on the data and generate reports or notifications catered to the particular industrial assets' optimal performance and business goals of the owner's industrial enterprise, as well as perform real-time decision making and control.

Abstract: A cloud-based virtualization generation service collects industrial-automation-system-related data from multiple industrial automation systems of multiple industrial customers for storage and analysis on a cloud platform. A virtualization management component analyzes the data and generates a virtualized industrial automation system of the industrial automation system based on the analysis results. The virtualization management component updates the virtualized industrial automation system based on operation of, and user interactions with, the industrial automation system. The virtualization management component receives user interactions with the virtualized industrial automation system to facilitate remotely interacting with and/or controlling the industrial automation system and/or generates corresponding control signals that it sends to the industrial automation system to facilitate controlling operation of the industrial automation system.

Abstract: A cloud-based simulation generation service collects industrial data from multiple industrial customers for storage and analysis on a cloud platform. The service employs a simulation generator component that analyzes data to facilitate generating a simulation model that simulates an industrial automation system, including simulating or emulating industrial devices, industrial processes, other industrial assets, or network-related assets or devices, and their respective interrelationships with each other. The simulation generator component also analyzes modification data to facilitate generating a modified simulation model that simulates the industrial automation system based on the modification.

Abstract: A cloud-based virtualization generation service collects industrial data from multiple industrial automation systems of multiple industrial customers for storage and analysis on a cloud platform. A virtualization management component (VMC) generates a virtualized industrial automation system of an industrial automation system based on data analysis results. The VMC facilitates remotely controlling the industrial automation system based on user interactions with the virtualized industrial automation system, and updates the virtualized industrial automation system based on collected data relating to the industrial automation system. The VMC customizes a user's view of the virtualized industrial automation system based on a user's role, authorization, location, or preferences, wherein different views of the virtualized industrial automation system with different data overlays are presented on different communication devices of different users.

Abstract: A remote technical support system leverages a cloud platform to automate technical support interactions, facilitating rapid diagnosis and solution of detected performance issues in industrial systems. The technical support system facilitates automated collection of relevant system data from a customer's industrial assets in the event of a detected performance issue requiring involvement of a technical support entity. The relevant system data can be sent to the cloud platform in response to a manual request for support at the plant floor, or automatically in response to detection of a possible device failure or performance issue. The cloud-based remote technical support system then routes the data to a suitable remote support representative, providing the representative with information about customer's industrial system and operations that may be relevant in connection with diagnosing the issue.

Abstract: A cloud-based predictive maintenance service collects industrial data from multiple industrial customers for storage and analysis on a cloud platform. The service analyzes data gathered from multiple customers across different industries to identify operational trends as a function of industry type, application type, equipment in use, device configurations, and other such variables. Based on results of the analysis, the predictive maintenance service predicts anticipated device failures or system inefficiencies for individual customers. Notification services alert the customers of impending failures or inefficiencies before the issues become critical. The cloud-based notification services also notify appropriate technical support entities to facilitate proactive maintenance and device management.

Abstract: A cloud-based performance enhancement service captures and collects data relating to interactions of users with industrial automation systems of multiple industrial customers for storage and analysis on a cloud platform.

Abstract: An industrial attestation service executing on a cloud platform collects industrial data from multiple levels of an industrial enterprise and identifies subsets of the industrial data that characterize normal operation. In the cloud platform, baselines are generated for diverse aspects of the industrial enterprise based on the identified subsets, where the baselines characterize normal operation. The baselines are used as a reference in connection with device and system attestation. Aspects of the industrial enterprise that deviate from their corresponding baselines are identified in the cloud platform. Attestation reports indicating aspects of the enterprise that have altered relative to their baselines are delivered to client devices via the cloud platform.

Abstract: A cloud-compatible industrial device is provided. The industrial device generates or collects raw industrial data in connection with monitoring and/or controlling an automation system, and includes a cloud interface that couples the industrial device to one or more cloud-based services running on a cloud platform. To reduce consumption of cloud-based resources such as bandwidth and storage utilization, the industrial device can transform the raw industrial data into refined data that is amenable for cloud-based storage, computing, or analysis. Exemplary transformations include filtering, pruning, re-formatting, compressing, summarizing. In one or more embodiments, the industrial device can also add contextual metadata to the raw data prior to delivery to the cloud.

Abstract: A cloud gateway for coupling an industrial system to a cloud platform is provided. The cloud gateway collects data from one or more industrial controllers, meters, sensors, or other devices comprising an industrial automation system. The cloud gateway optionally performs additional transformations on the data to add context, summarize, filter, reformat, and/or encrypt the data. The cloud gateway then sends data to a cloud platform for use by one or more cloud-based applications or services. The cloud gateway can facilitate cloud-based data collection from both fixed-location and mobile industrial systems. The cloud gateway can also support store-and-forward logic, allowing industrial data to be temporarily stored in local storage in the event that communication between the cloud gateway and the cloud platform is disrupted.

Abstract: A cloud-based operator interface system is provided that runs as a cloud service on a cloud platform. The cloud-based operator interface system collects industrial data from one or more industrial systems via respective cloud gateway devices. A set of predefined operator interface screens are stored on cloud storage associated with the operator interface system, and delivered to authorized Internet-capable client devices upon request. The industrial data received from the cloud gateways can be delivered to the client devices from the cloud platform via the operator interface screens. Additional cloud-side services can correlate and analyzes the industrial data on the cloud platform to facilitate additional reporting, alarming, and notification features.

Abstract: Disclosed are diagnostic utilities and complimentary interfaces that enable users to observe, from a remote location, the configuration and operation of data access servers and associated data source devices. The servers provide diagnostic data and server-specific diagnostic schema used by a diagnostic utility to analyze the received diagnostic data. Engines within servers supply data associated with diagnostic roots within each server. In an embodiment, the set of diagnostic root types is extensible. First, the diagnostic roots are extended by adding to the scope of data items provided by base diagnostic objects. Second, entirely new diagnostic object root types can be added for a particular server. A diagnostic utility development environment provides a set of class libraries for creating server-specific portions. Server developers use a class library to create customized diagnostic objects.

Abstract: A remote configuration utility architecture is disclosed for a manufacturing/process control system data access server. Server agents, located on remote nodes, notify a configuration console of existing data access servers on the system. The configuration utility includes a control console from which a user selects one of the identified data access servers. Thereafter, the configuration console, via remote interfaces, obtains configuration parameters and associated rules associated with the selected data access server. The configuration utility thereafter displays the retrieved configuration information within a user interface faceplate defined for a type of configuration node selected for display/editing from the selected DAS. Using various faceplates for selected node types, the user creates, clears, examines and/or manipulates hierarchically arranged nodes for a configuration associated with the selected data access server.

Abstract: A method and process control data server system architecture are disclosed for providing process data to a variety of client applications via a plurality of differing data sharing standards. The system architecture incorporates a ready platform for subsequently added client application data exchange protocols. In an exemplary embodiment, a set of standard interface definitions between client application data exchange protocol-specific plugins and a data access server engine supports incorporating new client application data exchange protocols by means of plugins designed to interface with the data access server engine according to the standard interface definitions.

Abstract: A method and process control data server system architecture are disclosed for providing process data to a variety of client applications via a plurality of differing data sharing standards. The system architecture incorporates a ready platform for subsequently added client application data exchange protocols. In an exemplary embodiment, a set of standard interface definitions between client application data exchange protocol-specific plugins and a data access server engine supports incorporating new client application data exchange protocols by means of plugins designed to interface with the data access server engine according to the standard interface definitions.

Abstract: A method and process control data server system architecture are disclosed for providing process data to a variety of client applications via a plurality of differing data sharing standards. The system architecture incorporates a ready platform for subsequently added client application data exchange protocols. In an exemplary embodiment, a set of standard interface definitions between client application data exchange protocol-specific plugins and a data access server engine supports incorporating new client application data exchange protocols by means of plugins designed to interface with the data access server engine according to the standard interface definitions.

Abstract: A remote configuration utility architecture is disclosed for a manufacturing/process control system data access server. Server agents, located on remote nodes, notify a configuration console of existing data access servers on the system. The configuration utility includes a control console from which a user selects one of the identified data access servers. Thereafter, the configuration console, via remote interfaces, obtains configuration parameters and associated rules associated with the selected data access server. The configuration utility thereafter displays the retrieved configuration information within a user interface faceplate defined for a type of configuration node selected for display/editing from the selected DAS. Using various faceplates for selected node types, the user creates, clears, examines and/or manipulates hierarchically arranged nodes for a configuration associated with the selected data access server.

Abstract: Disclosed are diagnostic utilities and complimentary interfaces that enable users to observe, from a remote location, the configuration and operation of data access servers and associated data source devices. The servers provide diagnostic data and server-specific diagnostic schema used by a diagnostic utility to analyze the received diagnostic data. Engines within servers supply data associated with diagnostic roots within each server. In an embodiment, the set of diagnostic root types is extensible. First, the diagnostic roots are extended by adding to the scope of data items provided by base diagnostic objects. Second, entirely new diagnostic object root types can be added for a particular server. A diagnostic utility development environment provides a set of class libraries for creating server-specific portions. Server developers use a class library to create customized diagnostic objects.