A method of fabrication for a component to be installed in a facility, the facility being represented by an electronic design model, the method including extracting, at a computing device and from the model, details of the component and controlling a plurality of stations with the computing device to fabricate and track the component.

Provided is an analysis apparatus comprising: a variation model storage unit configured to store a plurality of variation models indicating variation in characteristics of a plant corresponding to an operating condition of the plant; a model extraction unit configured to acquire structure information indicating a structure model of an analysis target plant and to extract the variation model corresponding to the structure model; and an analysis unit configured to analyze the analysis target plant, based on the structure model of the analysis target plant and the variation model extracted by the model extraction unit.

A method of fabrication for a component to be installed in a facility, the facility being represented by an electronic design model, the method including extracting, at a computing device and from the model, details of the component and controlling a plurality of stations with the computing device to fabricate and track the component.

Methods, apparatus, systems, and articles of manufacture are disclosed for automatically updating artificial intelligence models operating on data of a first factory production line, the apparatus comprising, an intelligent trigger circuitry to trigger an automated model update process, an automated model search circuitry to, in response to a model update, generate a plurality of candidate artificial intelligence models, and an intelligent model deployment circuitry to output a prediction of an artificial intelligence model combination to improve prediction performance over time.

A robot system models the behavior of a user when the user occupies an operating zone associated with a robot. The robot system predicts future behaviors of the user, and then determines whether those predicted behaviors interfere with anticipated behaviors of the robot. When such interference may occur, the robot system generates dynamics adjustments that can be implemented by the robot to avoid such interference. The robot system may also generate dynamics adjustments that can be implemented by the user to avoid such interference.

There is provided a design support system including a designer terminal, a maintenance personnel terminal, and a design support device, in which the design support device includes a failure causal model database, a failure causal model updating unit that updates the failure causal model based on an assumed cause of a failure of the input target equipment, a maintenance support unit that estimates a type of a failure having a high occurrence probability and the cause thereof based on a symptom of the input target equipment and the failure causal model, and outputs the estimated result to the maintenance personnel terminal, a maintenance record database that stores authenticity information input from the maintenance personnel terminal for the estimated type of the failure and the cause, and a failure cause analysis unit that updates the failure causal model based on the authenticity information stored in the maintenance record database, estimates a failure cause of the target equipment based on the updated failure causal model, and outputs the estimated result to the designer terminal.

A system is configured to receive a first selection of a first object corresponding to a first portion of computer code that defines a first operation of a first industrial automation device from a library, receive a second selection of a second object corresponding to a second portion of computer code that defines a second operation of a second industrial automation device from the library, and generate an industrial automation project code file. Generating the industrial automation project code file includes modifying the first portion of computer code to enable the first industrial automation device to operate in conjunction with the second industrial automation device, modifying the second portion of computer code to enable the second industrial automation device to operate in conjunction with the first industrial automation device, and combining the modified first portion of computer code and the modified second portion of computer code.

Provided herein are systems, methods, and software for facilitating message sessions. In one implementation, a method for building a type-based reporting model associated with an industrial automation environment includes interrogating a system control to acquire a data structure programmed therein, the data structure comprising properties of a component of the industrial automation environment. The method also includes correlating the data structure to a type package object, and generating a model object based on the correlation of the data structure to the type package object, the model configured to visually display the properties of the component on a report.

A system is configured to receive a first selection of a first object corresponding to a first portion of computer code that defines a first operation of a first industrial automation device from a library, receive a second selection of a second object corresponding to a second portion of computer code that defines a second operation of a second industrial automation device from the library, and generate an industrial automation project code file. Generating the industrial automation project code file includes modifying the first portion of computer code to enable the first industrial automation device to operate in conjunction with the second industrial automation device, modifying the second portion of computer code to enable the second industrial automation device to operate in conjunction with the first industrial automation device, and combining the modified first portion of computer code and the modified second portion of computer code.

A method of process monitoring of an industrial process involving a tangible run an industrial facility includes providing an integrated facility digital twin (DT) implemented by a computer system which implements an aggregation algorithm that utilizes models including a plurality of inter-related static models for the industrial facility including an asset model that describes devices and systems in the industrial facility including sensors coupled to processing equipment and a flowsheet model, and dynamic models of the industrial facility including calculation models, symptom and fault models, dynamic simulation models, and machine learning models. The aggregation algorithm using outputs from the static models and dynamic model, generates an aggregated view including performance alerts for at least one of the process equipment and industrial process based on a current performance of the industrial process.