System(s) and method(s) are provided for peer-to-peer exchange of data in a control system. Decentralized storage and multi-access paths provide complete sets of data without dependence on a specific or pre-defined data source or access paths. Data is characterized as data resources with disparate granularity. The control system includes a plurality of layers that act as logic units communicatively coupled through access network(s). Server(s) resides in a service layer, whereas client(s) associated with respective visualization terminal(s) are part of a visualization layer. Peer-to-peer distribution of data resource(s) can be based on available access network(s) resources and optimization of response time(s) in the control system. When client requests a data resource, all the locations of the data resource and the quickest source to retrieve it are automatically determined. The client stores copy of data resource. Peer-to-peer distribution of data resource(s) can be implemented within the service layer or the visualization layer.

A device supporting big data in a process plant includes an interface to a communications network, a cache configured to store data observed by the device, and a multi-processing element processor to cause the data to be cached and transmitted (e.g., streamed) for historization at a unitary, logical centralized data storage area. The data storage area stores multiple types of process control or plant data using a common format. The device time-stamps the cached data, and, in some cases, all data that is generated or created by or received at the device may be cached and/or streamed. The device may be a field device, a controller, an input/output device, a network management device, a user interface device, or a historian device, and the device may be a node of a network supporting big data in the process plant. Multiple devices in the network may support layered or leveled caching of data.

A device supporting big data in a process plant includes an interface to a communications network, a cache configured to store data observed by the device, and a multi-processing element processor to cause the data to be cached and transmitted (e.g., streamed) for historization at a unitary, logical centralized data storage area. The data storage area stores multiple types of process control or plant data using a common format. The device time-stamps the cached data, and, in some cases, all data that is generated or created by or received at the device may be cached and/or streamed. The device may be a field device, a controller, an input/output device, a network management device, a user interface device, or a historian device, and the device may be a node of a network supporting big data in the process plant. Multiple devices in the network may support layered or leveled caching of data.

System(s) and method(s) are provided for peer-to-peer exchange of data in a control system. Decentralized storage and multi-access paths provide complete sets of data without dependence on a specific or pre-defined data source or access paths. Data is characterized as data resources with disparate granularity. The control system includes a plurality of layers that act as logic units communicatively coupled through access network(s). Server(s) resides in a service layer, whereas client(s) associated with respective visualization terminal(s) are part of a visualization layer. Peer-to-peer distribution of data resource(s) can be based on available access network(s) resources and optimization of response time(s) in the control system. When client requests a data resource, all the locations of the data resource and the quickest source to retrieve it are automatically determined. The client stores copy of data resource. Peer-to-peer distribution of data resource(s) can be implemented within the service layer or the visualization layer.

Blockchain-enabled industrial devices and associated systems are configured to support the use of industrial blockchains in connection with product and machine tracking, subscription-based industrial services, device lifecycle management, and other functions. Collections of industrial devices can collectively serve as an industrial blockchain system, with multiple such systems within a supply chain yielding an industrial blockchain ecosystem. This architecture can create distributed, decentralized, tamper-proof records of manufacturing statistics for a product, a product's history within the larger supply chain, industrial asset usage histories that can be leveraged in connection with lifecycle management, machine usage history for use in connection with subscription-based machine operation, and other such information. The blockchain-enabled industrial devices can be configured to generate multiple versions of a product or machine's blockchain having respective different access permissions, allowing public and private industrial data to be segregated between public and private industrial blockchains.

System(s) and method(s) are provided for peer-to-peer exchange of data in a control system. Decentralized storage and multi-access paths provide complete sets of data without dependence on a specific or pre-defined data source or access paths. Data is characterized as data resources with disparate granularity. The control system includes a plurality of layers that act as logic units communicatively coupled through access network(s). Server(s) resides in a service layer, whereas client(s) associated with respective visualization terminal(s) are part of a visualization layer. Peer-to-peer distribution of data resource(s) can be based on available access network(s) resources and optimization of response time(s) in the control system. When client requests a data resource, all the locations of the data resource and the quickest source to retrieve it are automatically determined. The client stores copy of data resource. Peer-to-peer distribution of data resource(s) can be implemented within the service layer or the visualization layer.

A system for storing data in an industrial production environment includes a distributed database stored on a plurality of intelligent programmable logic controller devices. Each respective intelligent programmable logic controller device includes a volatile computer-readable storage medium comprising a process image area; a non-volatile computer-readable storage medium; a control application; an input/output component; a historian component; and a distributed data management component. The control application is configured to provide operating instructions to a production unit. The input/output component is configured to update the process image area during each scan cycle with data associated with the production unit. The historian component is configured to store automation system data comprising the operating instructions and contents of the process image area on the non-volatile computer-readable storage medium. The distributed data management component is configured to facilitate distributed operations involving the automation system data by the plurality of intelligent programmable logic controller devices.