A method creates numerical control data sets for controlling machine tools. The control data sets are read from the machine tools. A first component data set representing a first component design model is received. A first numerical control data set is created for the first component data set using control program generation software, having an assessment routine using a trained machine learning algorithm with settable parameters. A first additional training data set is compiled from the component data set and the created numerical control data set. The first additional training data set is output to a training database. The machine learning algorithm is updated by setting usage-environment-specific values for the parameters determined by training the machine learning training algorithm using the training database.

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.

In an aspect an apparatus for analyzing machinability of a part for manufacture, wherein the apparatus comprises a processor. The processor is configured to receive a representative part model of a part for manufacture. The processor may also be configured to extract a semantic datum from the print of the part for manufacture. A machinability datum is determined as a function of the semantic datum. A manufacturing quote is generated as a function of the machinability datum.

A computer-implemented method for retrieving data that relates to at least one industrial asset includes the steps of: receiving, from a requesting entity, a query for data objects from one or more lifecycle phases of the at least one industrial asset; mapping the query to one or more types of data objects that are available from one or more given data sources relating to the at least one industrial asset; obtaining, from the one or more data sources, one or more data objects of the one or more types; producing, from the one or more data objects, a response to the query; and transmitting the response to the requesting entity.

The present invention relates to a computer-implemented method for performing a chemical engineering process, in particular in an air separation plant or a natural gas plant, wherein a multiplicity of process simulations are performed simultaneously, in the course of each of which the process in the process plant is in each case simulated for a particular application case, wherein each application case is characterized by values of process plant variables and/or values of process parameters, wherein, in the multiplicity of process simulations, values for the process plant variables and/or for the process parameters are determined such that at least one predefined condition is met, wherein free values for process plant variables and/or process parameters are determined, and wherein dependent values for process plant variables and/or process parameters are determined from the free values for process plant variables and/or process parameters.

An abnormality inspection system S1 according to an embodiment includes: an image acquisition unit configured to acquire a plurality of pieces of continuous pickup data of a component such that an identical spot of the component is contained in mutually different regions of the plurality of pieces of continuous pickup data; and a determination unit configured to detect presence or absence of abnormality in the plurality of pieces of continuous pickup data, and to determine that the component is abnormal, in a case where the abnormality is detected in all of the plurality of pieces of pickup data.

The invention relates to the field of operating, monitoring and controlling mills of the mining industry. It specifically relates to a system and a method for in-line determination of the characteristics of worn balls and pieces thereof, which have been ejected from a semi-autogenous mineral grinding (SAG) mill to the external classifiers.

An engineering assistant system 1 includes: an engineering server 10 that issues a work list including information related to work necessary for performing the engineering of a process control system 100; and an at least one engineering client 20 that grants work authority for each worker based on the work list issued by the engineering server 10 and makes it possible to perform work on a constituent apparatus that constitutes the process control system 100 within a range of granted work authority.

Process knowledge creation, development, and management techniques allow for and enable the creation of a universal process definition (UPD) of an industrial process, the automatic conversion or transformation of the UPD into different site-specific process definitions, and the implementation of the site-specific process definitions at different manufacturing, production, and/or automation sites. Typically, the UPD is site- and equipment-agnostic, and the transformation may generate and provide a set of site-specific process definition implementation files or routines to configure and/or govern the behavior of various site-specific execution systems, e.g., as site-specific operational instances of the UPD. The techniques may utilize feedback and information generated by site-specific operational instances to generate learned knowledge and update the UPD accordingly so that subsequent instantiations of the UPD may incorporate (and reap the benefits of) the learned knowledge. The techniques may automatically select a most suitable site for a particular instantiation of the UPD.

A line configuration planning device determine a task sequence during production of the to-be-produced product and the task time by the worker or the automatic machine for each task on the basis of the task information and the task time information. The line configuration planning device determine a required cycle time for producing the to-be-produced product on the basis of the production plan information. The line configuration planning device generate, on the basis of the determined task sequence, task time, and required cycle time, an allocation proposal for the worker and the automatic machine such that an estimated cycle time for producing the to-be-produced product is less than or equal to the required cycle time. The line configuration planning device determine a production line configuration for the to-be-produced product on the basis of the allocation proposal and the equipment configuration information.