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.

A display device that displays productivity of a manufacturing facility that performs processes to manufacture products, wherein the manufacturing facility includes constituent element groups, each including constituent elements, constituent elements selected from the constituent element groups perform a corresponding one of the processes. The display device includes: an obtainer that obtains manufacturing log information from the manufacturing facility; a calculator that calculates an indicator showing productivity of each combination of a first constituent element and a second constituent element, based on the manufacturing log information; and a display that displays the indicator showing the productivity of each combination at a position of an intersection point corresponding to the combination on a productivity indicator map including a vertical axis along which first constituent elements are arranged and a horizontal axis along which second constituent elements are arranged.

A geometric model-based evaluation method, system, and apparatus for a key performance indicator in a production procedure are disclosed. The method includes extracting a geometric characteristic and a characteristic attribute thereof from a product model; converting the geometric characteristic into a process characteristic so as to obtain the steps of a process related to a whole production procedure of producing a product, and devices corresponding to the steps of the process; and based on the steps of the process related to the production procedure and the devices corresponding to the steps of the process, simulating the whole industrial manufacturing procedure of the product, and outputting the KPI of the industrial manufacturing. At least one embodiment can evaluate the KPI of the whole industrial manufacturing procedure of the product according to the product model.

A system includes a computer numerical control (CNC) machining system configured to perform a machining operation to define a feature on a workpiece and a machine edge controller disposed external of the machining system and in communication with the CNC machine system. The machine edge controller is configured to perform a machining evaluation during the machining operation. In executing the machining evaluation, the machine edge controller is configured to acquire data indicative of characteristics of the CNC machining system during the machining operation and compare the data with one or more machining baseline parameters associated with the machining operation to determine an abnormal operation of the CNC machining system. The one or more machining baseline parameters define a nominal response of the CNC machining system for performing the machining operation.

A simulation device that estimates a behavior of a system including a control device that controls a target includes a program execution module, a three-dimensional virtualization module, a setting module, and a reception module. The program execution module executes a simulation program estimating the behavior. The three-dimensional virtualization module virtually constructs the system in a three-dimensional virtual space. The setting module executes setting generating or updating data referred to during the execution of the simulation program. The reception module receives a user operation to the simulation device. The setting module selectively executes setting based on a position in a three-dimensional virtual space or setting based on an operating condition according to the user operation.

Provided is a plant data display processing device including: a data classification unit that classifies operation data into categories according to similarity; an evaluation index calculation unit that calculates an evaluation index of a category from a value of the operation data; and a classification result display processing unit that calculates a representative value of the operation data for each of the categories from the operation data contained in each of the categories, maps identification information of each of the categories to two-dimensional space in accordance with similarity of a representative value of the operation data, and generates three-dimensional image data in which the identification information of each of the categories is shown on a plane formed of a first axis and a second axis, and the evaluation index of the category is shown on a third axis.

An evaluation value prediction unit predicts an evaluation value at a time point after a given time passes from a predetermined evaluation time based on input data related to an operation of a factory at the evaluation time using a learned prediction model. The prediction model is a learned model that is learned so that the evaluation value related to the operation of the factory at a time point after the given time passes from one time point is output by inputting a plurality of kinds of data related to the operation of the factory at one time point. An evaluation value output unit outputs information related to the evaluation value.

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.

Training data sets which are obtained by controlling the machine by different control systems are read in, the training data sets each including a state data set and an action data set. Furthermore, a performance evaluator is provided and determines, for a control agent, a performance for controlling the machine by the control agent. A control-system-specific control agent for the different control systems is respectively trained to reproduce an action data set on the basis of a state data set. In addition, a respective environment is delimited on the basis of a distance dimension in a parameter space of the control-system-specific control agents. Test control agents, for each of which a performance value is determined by the performance evaluator, are then generated within the environments. Depending on the determined performance values, a performance-optimizing control agent is finally selected from the test control agents and is used to control the machine.

Provided is a work management apparatus that is capable of allowing actual work to be continued without stopping a system as a whole even in the case where work start and completion times are lost. The work management apparatus according to the present invention recognizes content of work of a worker on the basis of a recognition result of a motion of the worker and a recognition result of an operation status of an object used by the worker and identifies a start time and a completion time according to the content of the work, to thereby confirm whether or not there is any missing content of the work.