A plurality of hierarchy information management devices include a first hierarchy information management unit managing first hierarchy information in which information on instruments is represented in a hierarchy structure, and each hierarchy information management device manages the first hierarchy information of a different one of the instruments. A monitoring device includes: a second hierarchy information management unit generating second hierarchy information based on a plurality of different pieces of the first hierarchy information acquired from the hierarchy information management devices, the second hierarchy information being hierarchy information in which the first hierarchy information is connected in a hierarchy structure; a display unit displaying information; and a display processing unit performing a process of switching between a plurality of different monitoring screens for display on the display unit, the different monitoring screens corresponding to different layers in the second hierarchy information and showing the operating state of the monitoring targets.

Provided herein are techniques related to an industrial system that may have a plurality of industrial automation devices, a database that has a plurality of location datasets that correspond to the plurality of industrial automation devices, and a monitoring system that may communicate with the industrial automation devices via a network and the database. The monitoring system may send a first request to the industrial automation devices in the industrial system to identify an industrial automation device having an active maintenance status. The active maintenance status may be indicative of a maintenance request for the industrial automation device. The monitoring system may send a second request to the database for a location dataset associated with the industrial automation device, generate a visualization that includes the active maintenance status and the location dataset associated with the industrial automation device, and display the visualization via an electronic display.

A method for controlling an industrial process includes: determining, by a process controller, based at least in part on a set of current values and/or past values of state variables of the industrial process, a set of control outputs to be applied to at least one actor and/or lower-level controller configured to cause a performing of at least one physical action on the process; querying, based on at least a subset of the set of current values and/or past values of state variables and on at least a subset of the set of control outputs, a trained machine-learning model configured to output a classification value, and/or a regression value, that is indicative of a propensity of a watching human operator to at least partially override the control outputs delivered by the process controller; and determining that the classification value, the regression value, and/or the propensity, meets a predetermined criterion.

The present invention relates to a service platform implemented by one or more computers. The platform comprises one or more micro-services, each micro-service having a standardized generic structure comprising: a subservice implementing a business function, a messaging sub-service. The platform also includes a communication system for exchanging data and messages, referred to as unified communication system.

A production system, including an engineering device configured to set a higher-level control device capable of controlling a control device configured to control one or more industrial machines, wherein the engineering device is configured to: display a name of each of a plurality of variables stored in the higher-level control device; receive specification of a variable to be subjected to at least one of collection or rewriting from among the plurality of variables; and perform setting of the at least one of the collection or rewriting of the specified variable.

In one embodiment, a condition monitoring circuit can include a circuit controller and a node. The node can include a gate controller, a node controller and one or more gates. The node can be configured to detachably couple to a bus of a monitoring system associated with an industrial machine. The circuit controller can be configured to identify an operating parameter associated with the industrial machine. The gate controller can be configured to transfer, via the one or more gates, one or more data packets including data characterizing the operating parameter from the bus in the monitoring system. The one or more gates can be configured to prevent transfer of an outgoing data packet to the bus via the node.

Provided in an embodiment of the present disclosure is a method for acquiring data of a data source associated with a production line, including: acquiring a semantic model, the semantic model including semantic relationships between respective semantic units and data source identifiers corresponding to one or more production lines; receiving production line identifiers and acquiring one or more semantic units; converting, based upon the semantic model, the one or more semantic units to data source identifiers corresponding to production lines indicated by the production line identifiers; and acquiring data of data sources indicated by the data source identifiers. Implementing the embodiments disclosed in the present disclosure simplifies a configuration file required for a virtual model of a production line, thereby greatly reducing configuration workload, and enhancing convenience of acquiring data of a data source.

Provided is a production system including: an industrial machine configured to execute each of a plurality of processes; and a circuitry, the circuitry being configured to: detect an abnormality that has occurred in the industrial machine; receive, when the abnormality is detected, a specification of one or more processes to be executed in order to perform recovery, based on process information associating, for each of the plurality of processes, at least a name of the each of the plurality of processes with a variable representing an operation of the industrial machine and indicating that at least one of refer or change is to be performed by a process program to be executed in the each of the plurality of processes; and record recovery process information indicating the received one or more processes.

A software defined (SD) process control system (SDCS) includes a method executed by a discovery service for inferring information regarding a physical or logical asset of a process plant. The method includes obtaining an announcement indicative of a presence of a physical or logical asset of the process plant. The method also includes obtaining, from a context dictionary, one or more parameters retrievable from the physical or logical asset or one or more services associated with the physical or logical asset that were not indicated in the announcement. Furthermore, the method includes storing a record of the discovered physical or logical asset in a discovered item data store. The record includes an indication of the identity of the physical or logical asset and the one or more parameters or one or more services associated with the physical or logical asset that were not indicated in the announcement.

An I/O server service interacts with multiple containerized controller services each implementing the same control routine to control the same portion of the same plant. The I/O server service may provide the same controller inputs to each of the containerized controller services (e.g., representing measurements obtained by field devices and transmitted by the field devices to the I/O server service). Each containerized controller service executes the same control routine to generate a set of controller outputs. The I/O server service receives each set of controller outputs and forwards an “active” set to the appropriate field devices. The I/O server service and other services, such as an orchestrator service, may continuously evaluate performance and resource utilization in the control system, and may dynamically activate and deactivate controller services as appropriate.