摘要:
A cloud-based analytics engine that analyzes data relating to an industrial automation system(s) to facilitate enhancing operation of the industrial automation system(s) is presented. The analytics engine can interface with the industrial automation system(s) via a cloud gateway(s) and can analyze industrial-related data obtained from the industrial automation system(s). The analytics engine can determine correlations between respective portions or aspects of the system(s), between a portion(s) or aspect(s) of the system(s) and extrinsic events or conditions, or between an employee(s) and the system(s). The analytics engine can determine and provide recommendations or instructions in connection with the industrial automation system(s) to enhance system performance based on the determined correlations. The analytics engine also can determine when there is a deviation or potential of deviation from desired system performance by an industrial asset or employee, and provide a notification, a recommendation, or an instruction to rectify or avoid the deviation.
摘要:
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.
摘要:
A cloud-based industrial automation site operation system leverages 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 are 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 control. 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.
摘要:
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.
摘要:
The technology disclosed herein enables presentation of a risk overview based off of the product lifecycles for components in an industrial environment. In a particular embodiment, a method includes, in a lifecycle management system, identifying components of an industrial system having a product lifecycle and determining the product lifecycles for the components. The method further includes determining a number of replacements for the components in an inventory for the industrial system. The method also includes presenting a risk overview for the industrial system based on the product lifecycles and the number of replacements.
摘要:
The technology disclosed herein enables automation of component sourcing when designing a process system in an industrial environment. In a particular embodiment, a method includes receiving design specifications of a process system in an industrial environment via a system design application. The method further includes determining components to implement the process system from the design specifications and identifying a first subset of the components for sourcing from an external provider. The method also includes populating the first subset into a component sourcing application.
摘要:
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 he 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.
摘要:
A system may include an industrial automation device, a computing device configured to receive a first set of data associated with the industrial automation device, and a cloud-computing system. The cloud-computing system may receive the first set of data from the computing device, identify a second set of data associated with the industrial automation device based on the first set of data, and send the second set of data to the computing device when the second set of data is relevant to the first set of data.
摘要:
Cloud-based backup provides a back up of an industrial plant comprising an industrial automation system(s) (IAS(s) 104). A cloud-based backup component (102) comprising a modeler component (110 ) can generate a model of industrial assets of the IAS(s) and relationships between industrial assets based on information obtained from the industrial assets via cloud gateways, a communication device associated with the IAS(s), or another source. The cloud-based backup component can store the model in a data store (124) to be employed as a backup of the IAS(s) or to be used to configure a new IAS that is the same as or similar to the IAS(s). The model can be stored in the data store in a standardized or an agnostic format, wherein the backup component can translate the model to a format suitable to an IAS for which it is to be implemented based on characteristics associated with the IAS.
摘要:
A cloud-based modeler component (102) that generates interactive models (104) of an industrial automation system(s) (IAS(s)) is presented. An interactive model facilitates remote viewing of, interaction with, troubleshooting of problems with, or optimization of industrial assets of an IAS. The modeler component (102) polls industrial assets via cloud gateways to obtain information relating to the industrial assets to identify industrial assets of the IAS and relationships with other industrial assets or can receive information from a communication device that obtains information relating to legacy industrial assets to identify those legacy assets and their relationships. The modeler component generates an interactive model of the industrial assets of the IAS based on the information. The modeler component also can discover new industrial assets added to the IAS, can receive a pre-deployed model of an industrial asset from the industrial asset or another source, and can incorporate the pre-deployed model in the interactive model.