An industrial IDE supports development of control programming using an industrial domain-specific language (DSL) that allows control programming to be written using a scripted programming language having features catered to the industrial domain. The industrial DSL can simplify and streamline development of industrial control code relative to using conventional graphics-based control programming formats such as ladder logic, since a script-based industrial DSL can be used to write programming code using fewer mouse clicks relative to traditional control programming environments. Editing tools inherent to the industrial DSL can provide dynamic programming feedback that guides the developer through the process of developing control code. A development interface of the industrial IDE can comprises two editing windows that render the control program in a graphical format and in a text-based format simultaneously, allowing the user to edit the program in either format on the same interface.

A design support device includes a project data storage unit, a specification data storage unit, and a device profile generation unit. The project data storage unit stores project data including device information and monitoring information about a monitoring item, linked to the device information, the project data having information necessary for controlling a device. The specification data storage unit stores specification data in which a specification serving as a design guideline of a device profile is defined and an operated monitoring item name defined by a first calculation formula is included. Based on the project data, a device profile is generated, which include: device-monitoring item information having the monitoring information; and operation information by which a second calculation formula obtained from the first calculation formula using the monitoring item is associated with a label attached to a result of operation of the second calculation formula.

An industrial integrated development environment (IDE) includes analytic features that generate control project telemetry data based on analysis of a control system design and uses this project telemetry data as the basis for control system design guidance and recommendations. The IDE system can analyze the control system design and identify industrial devices use by the control project, device features that are utilized by the control project, resource utilizations, and other such project telemetry. The IDE system can generate recommendations for improving the control system design based on this project telemetry. The project telemetry data can also be provided to product vendors, offering insights into how the vendors' products are being used by end customers.

Implementations herein leverage knowledge about historical process automation facilities to automate designing a new process automation facility. A first level design input may be processed to generate a first embedding that encodes design aspect(s) of the requested process automation facility with a degree of detail commensurate with a first level of a hierarchy reflected by design documents typically used to design a process automation facility. The first embedding may be used to find first level reference embeddings that encode design aspects of reference process automation facilities. Second level reference embedding(s) may be identified based on mapping(s) from the selected first level reference embedding(s). Each second level reference embedding may encode design aspect(s) of a respective reference process automation facility with a degree of detail that is commensurate with a second level of the design document hierarchy. Based on the second level reference embedding(s), template design document(s) may be provided.

The production line design apparatus includes a memory unit configured to store resource configuration information defining production resources constituting a production line to be designed, resource arrangement constraint information defining an arrangement constraint on the production resources, a production condition to be satisfied by the production line, work allocation information including a workpiece allocated to the production resources and a number of the workpiece, work order information including the production resources used in setup works of the production line and an order of the setup works, and resource candidate information defining a specification of the production resources; a layout generation unit configured to generate a plurality of layout candidates for each of the resource configuration information, where the layout candidate satisfies the arrangement constraint and the production condition; and a setup time calculation unit configured to calculate a setup time for each layout candidate.

A system construction assistance program causes a computer to execute a history creation step, an input step, a storage step, a search step, and a display step of displaying action information searched. The history creation step is for receiving a plurality of pieces of setting information indicating settings of production devices and storing the setting information. The input step is for receiving an input of action information indicating an action against an abnormality. The storage step is for storing the action information and the change content of the setting information accompanying occurrence of the abnormality in association with each other. The search step is for searching, in a case of occurrence of an abnormality in the production devices, for the action information for the abnormality occurring in the production devices from among the stored action information, using as a search condition the change content of the setting information.

An industrial IDE supports development of control programming using an industrial domain-specific language (DSL) that allows control programming to be written using a scripted programming language having features catered to the industrial domain. The industrial DSL can simplify and streamline development of industrial control code relative to using conventional graphics-based control programming formats such as ladder logic, since a script-based industrial DSL can be used to write programming code using fewer mouse clicks relative to traditional control programming environments. Editing tools inherent to the industrial DSL can provide dynamic programming feedback that guides the developer through the process of developing control code. A development interface of the industrial IDE can comprises two editing windows that render the control program in a graphical format and in a text-based format simultaneously, allowing the user to edit the program in either format on the same interface.

A system and method generating a 3D plant layout model departing from 2D schema of the layout provide access to a plant catalogue of identifiers of 3D plant objects. At least one 3D plant object identifier is associated with a 2D plant object identifier. Data on a given 2D schema of a layout are received as input data. A function trained by machine learning algorithm is applied to the input data for detecting a set of 2D plant objects. A set of identifier and location data on the detected 2D plant object set is provided as output data. A set of 3D plant objects is selected from the plant catalogue with identifiers associated with the set of 2D plant objects identifiers of the output data. A 3D model of the layout is generated by arranging the selected set of 3D plant objects according to location data of the output data.

A method of predicting sequence for a manufacturing process to assemble a product based on a target plan for the manufacturing process includes retrieving, from a historical process database, a plurality of surrogate process segments based on the target plan, determining, for each surrogate process segment from the plurality of surrogate process segments, a segment similarity value based on a data analysis model, and generating a target process defining a process sequence for performing the manufacturing process based on the segment similarity values of the plurality of surrogate process segments and a sequence inference model that classifies the process segment of the target plan to sequences defined by the plurality of surrogate process segments. The target process includes data that defines a plurality of selected process steps and one or more workstations for the process segment of the target plan.

A method of automatically determining interconnections between control and instrumentation (C&I) systems within an industrial facility (IF). A data collection system including a data collection algorithm that provides a data collection block and a data agents block is coupled to the IF which has C&I systems collectively utilizing different data formats each including C&I devices, where the C&I systems are coupled to field devices coupled to processing equipment configured for implementing an industrial process. A data collection process is initiated using respective data formats for obtaining engineering configuration data used in the C&I systems stored therein. The engineering configuration data from each C&I system is used to determine connections within and interconnections between the C&I systems. The format of the engineering configuration data can be converted to common format engineering configuration data and then be stored.