Abstract:
A system for providing access to locally stored process image data to other devices in an industrial production environment includes a plurality of controller devices and a process image backbone. Each respective controller device comprises the following: a volatile computer-readable storage medium comprising a process image area; a non-volatile computer-readable storage medium; a control program configured to provide operating instructions to a production unit; an input/output component configured to update the process image area during each scan cycle or upon the occurrence of one or more events with process image data items associated with the production unit; and a historian component configured to locally store the process image data items of the process image area as time series data in the non-volatile computer-readable storage medium. The process image backbone provides the plurality of controllers with uniform access to the process image data items of each programmable logic device.
Abstract:
A system for implementing automation functions through abstraction layers includes a control application and an automation equipment abstraction framework executable in a runtime environment. The control application is designed to communicate with automation equipment using one or more automation functions. Each automation function comprises one or more equipment-agnostic instructions. During execution of the control application, the automation equipment abstraction framework receives an equipment-agnostic instructions and an indication of a particular unit of automation equipment. The automation equipment abstraction framework translates the equipment-agnostic instructions into equipment-specific automation instructions executable on the particular unit of automation equipment. These equipment-specific automation instructions may then be sent to the particular unit of automation equipment.
Abstract:
A method of operating an intelligent programmable logic controller over a plurality of scan cycles includes creating, by the intelligent programmable logic controller, a process image area in a volatile computer-readable storage medium operably coupled to the intelligent programmable logic controller. The intelligent programmable logic controller then updates the process image area during each scan cycle with contents comprising data associated with a production unit. The contents of the process image area are stored by the intelligent programmable logic controller during each scan cycle on a non-volatile computer-readable storage medium operably coupled to the intelligent programmable logic controller. The intelligent programmable logic controller annotates the contents of the process image area with automation system context information to generate contextualized data.
Abstract:
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.
Abstract:
Real-time programmable logic controller software is executed on a multicore processor system. An organizational block executer is executed on a first core, and system service functions associated with the programmable logic controller software are executed on the second core. The organizational block executer includes I/O scanning and logic solving in a single-threaded execution. Core-switch operations may be cyclically performed to move execution of the organizational block executer from the first core to the second core and back to the first core.
Abstract:
Industrial automation systems are often inflexible, which can result in delays or downtimes that are costly and inconvenient. In particular, it is recognized herein that the engineering phase of automation system implementation currently represents a significant portion of the overall cost of an automation system. As described herein, automation system configurations can be automatically generated in accordance with various policies that can be implemented at runtime.
Abstract:
A system for using digital twins to interact with physical objects in an automation system includes a plurality of controller devices, a process image backbone, and a registry comprising a plurality of digital twins. Each respective controller device comprises a volatile computer-readable storage medium comprising a process image area. The process image backbone provides the controllers with uniform access to the process image area of each controller. Each digital twin in the registry corresponds to a physical device controllable via one of the controllers devices via a corresponding process image area.
Abstract:
Current approaches to integrating industrial ecosystems, for instance integrating automation functions across different vendors, lack efficiencies and capabilities. For example, system integrators are often required to develop special software that functions as a proxy or adaptor between different systems. In such cases, the proxy or adaptor is often specific to a particular set of equipment or vendors, and which can limit reusability, among other technical drawbacks. Embodiments described herein overcome e one or more of the described-herein shortcomings or technical problems by providing methods, systems, and apparatuses for automatically generating interfaces, for instance glue code, that enables interoperability between different ecosystems in automated industrial systems.
Abstract:
A method for executing a machine learning model with a controller includes a processor within the controller writing input values to a process image within the controller. The term process image refers to a predefined address space within volatile memory of the controller. A co-processor connected to the controller reads the input values from the process image and applies a machine learning model to the input values to generate output values. The co-processor writes output values to the process image and the processor reads those output values from the process image. The process can then execute an application program that utilizes the one or more output values.
Abstract:
A system for managing physical assets in a manufacturing system includes a plurality of product controllers corresponding to physical assets in the manufacturing system. Each product controller is configured to store a desired product state for a physical asset and collect sensor data received from other digital companions. Furthermore, each product controller determines an actual product state based on the collected sensor data, as well as one or more actions to be performed on one or more physical assets in the manufacture system to yield the desired product state. Once the actions are determined, the product controller transmits control instructions for performing the one or more actions to one or more operation controllers in the manufacturing system.