G05B2219/32043

Distributed dynamic architecture for error correction

Various systems and methods may be used to implement a software defined industrial system. For example, an orchestrated system of distributed nodes may run an application, including modules implemented on the distributed nodes. The orchestrated system may include an orchestration server, a first node executing a first module, and a second node executing a second module. In response to the second node failing, the second module may be redeployed to a replacement node (e.g., the first node or a different node). The replacement mode may be determined by the first node or another node, for example based on connections to or from the second node.

DISTRIBUTED DYNAMIC ARCHITECTURE FOR ERROR CORRECTION

Various systems and methods may be used to implement a software defined industrial system. For example, an orchestrated system of distributed nodes may run an application, including modules implemented on the distributed nodes. The orchestrated system may include an orchestration server, a first node executing a first module, and a second node executing a second module. In response to the second node failing, the second module may be redeployed to a replacement node (e.g., the first node or a different node). The replacement mode may be determined by the first node or another node, for example based on connections to or from the second node.

INTEGRATING CONTAINER ORCHESTRATION SYSTEMS WITH OPERATIONAL TECHNOLOGY DEVICES

A method may include receiving, via a first computing node of a cluster of computing nodes in a container orchestration system, a pod from a second computing node in the cluster of computing nodes. The method may also involve retrieving an image file that includes containers from a registry, such that the pod detail an indication of a location of the image file in the registry. The method then involves generating a package based on the one or more containers and one or more mapped commands implementable by a control system in an operational technology (OT) domain. The mapped commands correspond to operations performable by the control system that corresponds to commands specified in the containers. The method may then involve storing the package in a filesystem shared with the control system.

INDUSTRIAL AUTOMATION CONTROL PROGRAM UTILIZATION IN ANALYTICS MODEL ENGINE

An industrial device supports device-level data modeling that pre-models data stored in the device with known relationships, correlations, key variable identifiers, and other such metadata to assist higher-level analytic systems to more quickly and accurately converge to actionable insights relative to a defined business or analytic objective. Data at the device level can be modeled according to modeling templates stored on the device that define relationships between items of device data for respective analytic goals (e.g., improvement of product quality, maximizing product throughput, optimizing energy consumption, etc.). This device-level modeling data can be exposed to higher level systems for creation of analytic models that can be used to analyze data from the industrial device relative to desired business objectives.

DISTRIBUTED DYNAMIC ARCHITECTURE FOR ERROR CORRECTION

Various systems and methods may be used to implement a software defined industrial system. For example, an orchestrated system of distributed nodes may run an application, including modules implemented on the distributed nodes. The orchestrated system may include an orchestration server, a first node executing a first module, and a second node executing a second module. In response to the second node failing, the second module may be redeployed to a replacement node (e.g., the first node or a different node). The replacement mode may be determined by the first node or another node, for example based on connections to or from the second node.

Distributed dynamic architecture for error correction

Various systems and methods may be used to implement a software defined industrial system. For example, an orchestrated system of distributed nodes may run an application, including modules implemented on the distributed nodes. The orchestrated system may include an orchestration server, a first node executing a first module, and a second node executing a second module. In response to the second node failing, the second module may be redeployed to a replacement node (e.g., the first node or a different node). The replacement mode may be determined by the first node or another node, for example based on connections to or from the second node.

Control unit, data refresh method, and data refresh program

A control unit includes: a memory; a computation control part; and an input and output unit for connecting the computation control part to a device of an (FA) system. A system program includes a data refresh program for executing a data refresh of data of the device and the control data of the memory via the input and output unit. If the computation control part receives a change of a control program, the computation control part stops executing the control program. The computation control part executes the change of the control program while executing a part of the system program including the data refresh, and resumes executing the control program.

DISTRIBUTED SOFTWARE-DEFINED INDUSTRIAL SYSTEMS

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.

CONTROLLER, STORAGE MEDIUM, AND WIRELESS COMMUNICATION DEVICE
20200264587 · 2020-08-20 ·

The present invention has an object of providing a controller, a program, and a wireless communication device that can perform update or a setting operation of software more easily. A controller includes: a control program storage unit that stores a control program for controlling an operation of an industrial machine; a detection unit that detects a wireless communication device connected to a connection terminal; a control program acquiring unit that acquires a control program for storing in the control program storage unit via the wireless communication device; a storage executing unit that executes storing of an acquired control program in the control program storage unit; and an operation changing unit that allows the control program acquiring unit and the storage executing unit to be operated on a basis of detection of the wireless communication device.

Scalable edge compute in a distributed control environment

Various systems and methods may be used to implement a software defined industrial system. 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 to receive an activation signal from, for example, an orchestration server, and change to an activated state in response to receiving the activation signal.