This controller system includes: a program acquisition unit that acquires, by turning on the controller system, a control program from a server in which the control program is stored; a main storage device that stores the control program acquired by the program acquisition unit while electric power is supplied to the controller system; and a program execution unit that executes the control program stored in the main storage device.

Described are platforms, systems, and methods to combine counts of activity correlations over time with a link salience method to identify collections of digital devices in an automated environment to identify sub-systems comprised of portions of the overall environment. The platforms, systems, and methods detect activity in a plurality of data sources associated with an automation environment; determine correlation in the detected activity between two or more of the data sources; store records of determined correlation in the detected activity over time in a data storage system; apply a link salience algorithm to the stored records of determined correlation in the detected activity to determine a salience property; and identify one or more subsystems in the automation environment based on the salience property.

Described are platforms, systems, and methods to combine counts of activity correlations over time with a link salience method to identify collections of digital devices in an automated environment to identify sub-systems comprised of portions of the overall environment. The platforms, systems, and methods detect activity in a plurality of data sources associated with an automation environment; determine correlation in the detected activity between two or more of the data sources; store records of determined correlation in the detected activity over time in a data storage system; apply a link salience algorithm to the stored records of determined correlation in the detected activity to determine a salience property; and identify one or more subsystems in the automation environment based on the salience property.

An industrial integrated development environment (IDE) supports open or extensible application programming interfaces (APIs) that enable end users (e.g., plant asset owners, original equipment manufacturers (OEM), system integrators, etc.) to build upon the IDE's development platform to create custom views or to code custom functionality. This can include, for example, defining a control programming syntax supported by the industrial IDE, customizing a development environment view afforded by the IDE's interface, modifying or creating project editing functions, defining customized programming guardrails designed to guide compliance with in-house programming standards, or other such IDE customizations.

An industrial integrated development environment (IDE) supports open or extensible application programming interfaces (APIs) that enable end users (e.g., plant asset owners, original equipment manufacturers (OEM), system integrators, etc.) to build upon the IDE's development platform to create custom views or to code custom functionality. This can include, for example, defining a control programming syntax supported by the industrial IDE, customizing a development environment view afforded by the IDE's interface, modifying or creating project editing functions, defining customized programming guardrails designed to guide compliance with in-house programming standards, or other such IDE customizations.

A system and method is provided that facilitates threat impact characterization. The system may include a replica programmable logic controller (PLC) that corresponds to a production PLC in a production system and that may be configured to operate at an accelerated processing speed that is at least two times faster than a processing speed of the production PLC. The system may also include a data processing system configured to communicate with the replica PLC when executing malware infected PLC firmware and generate a simulation of the production system based on a virtual model of the production system operating at an accelerated processing speed that is at least two times faster than a processing speed of the physical production system. The simulation may include accelerated simulation of the production PLC based on communication with the replica PLC using the malware infected PLC firmware. The data processing system may also monitor: outputs from the replica PLC and the simulation of the production system to determine a possible threat to a hardware component of the production system caused by the production PLC executing the infected PLC firmware rather than a non-infected PLC firmware; and output data indicative of the possible threat thorough a display device.

A system and method is provided that facilitates threat impact characterization. The system may include a replica programmable logic controller (PLC) that corresponds to a production PLC in a production system and that may be configured to operate at an accelerated processing speed that is at least two times faster than a processing speed of the production PLC. The system may also include a data processing system configured to communicate with the replica PLC when executing malware infected PLC firmware and generate a simulation of the production system based on a virtual model of the production system operating at an accelerated processing speed that is at least two times faster than a processing speed of the physical production system. The simulation may include accelerated simulation of the production PLC based on communication with the replica PLC using the malware infected PLC firmware. The data processing system may also monitor: outputs from the replica PLC and the simulation of the production system to determine a possible threat to a hardware component of the production system caused by the production PLC executing the infected PLC firmware rather than a non-infected PLC firmware; and output data indicative of the possible threat thorough a display device.

Various systems and methods for implementing a software defined industrial system are described herein. For example, an orchestrated system of distributed nodes may run an application, including modules implemented on the distributed nodes. In response to a node failing, a module may be redeployed to a replacement node. In an example, self-descriptive control applications and software modules are provided in the context of orchestratable distributed systems. The self-descriptive control applications may be executed by an orchestrator or like control device and use a module manifest to generate a control system application. For example, an edge control node of the industrial system may include a system on a chip including a microcontroller (MCU) to convert IO data. The system on a chip includes a central processing unit (CPU) in an initial inactive state, which may be changed to an activated state in response an activation signal.

Systems and methods for sorting livestock including a livestock processing station, a computer network system, and a livestock routing mechanism. The livestock processing station confines the individual livestock, allowing individual livestock data to be collected and analyzed. The computer network system includes a programmable logic controller (PLC) for data input at the livestock processing station and a sorting application coupled to the PLC via a computer network, the sorting application for analyzing individual livestock data and assigning livestock to pens.

An apparatus includes multiple circuit paths configured to generate multiple electrical signals to be used to communicate with multiple devices. Each of the circuit paths is configured to use electrical energy from a different one of multiple independent power supplies. The apparatus also includes an I/O terminal configured to be coupled to a common electrical conductor that is coupled to the multiple devices. The I/O terminal is configured to pass the electrical signals to the common electrical conductor. The apparatus is configured to use each of the electrical signals to one of: receive input data from one of the multiple devices or provide output data to one of the multiple devices.