An intelligent identification and warning method for an uncertain object of a production line in a digital twin environment, includes: establishing a model library for uncertain physical objects from a non-production line system; adding attribute data to the uncertain physical objects from the non-production line system; importing an established model library and added attribute data for the uncertain physical objects from the non-production line system into a model library of an existing DT production line system; performing auto-detection on an uncertain physical object entering a production line system; performing auto-detection on an actual size of the uncertain physical object entering the production line system; warning a danger for an unsafe object by means of voice prompting, system alarming and information pushing; matching a corresponding three-dimensional (3D) model in the established model library for a safe object; and loading a matched 3D model to the DT production line system.

A system, method, and apparatus is provided for production processes to coordinate the utilization of the operational zone for process variables and automate the execution of the target settings to maximize the production goals without requiring human intervention.

A solution is proposed for managing one or more industrial products. A method, computer system, and computer program product for creating a reference model providing a formal representation of reference policies according to reference artifacts and creating corresponding activity models providing a formal representation of activities (to be performed on the industrial products) according to corresponding activity artifacts; alignment indicators indicative of an alignment of the activities with the reference policies are calculated according to a comparison between the corresponding activity models and the reference model.

Methods, devices, and systems for production controls of process sequences in industrial processing of workpieces supported by indoor localization are provided. In one aspect, an indoor location system includes a plurality of mobile transceivers and an analyzer. At least one mobile transceiver is configured to determine a position of a selected mobile transceiver in a three-dimensional space. Each mobile transceiver is spatially assignable to a corresponding object from a group of objects within a framework of process sequences. Each object is movable in one or more dimensions in the three-dimensional space. The analyzer is configured to determine the position of the selected mobile transceiver based at least on run times of electromagnetic signals between the mobile transceivers in a position determination process and to perform tracking of a movement of a target object assigned to the selected mobile transceiver based on the position of the selected mobile transceiver.

A control device includes a control unit configured to acquire target data indicating a production target in a factory and detect production progress in the factory, compare the production target indicated by the acquired target data with the detected production progress, and predict, based on an obtained comparison result, a finishing time period within which one or more users working in the factory are expected to finish work and adjust, based on the predicted finishing time period, a time period within which one or more vehicles for commuting are expected to transport the one or more users.

An intelligent identification and warning method for an uncertain object of a production line in a digital twin environment, includes: establishing a model library for uncertain physical objects from a non-production line system; adding attribute data to the uncertain physical objects from the non-production line system; importing an established model library and added attribute data for the uncertain physical objects from the non-production line system into a model library of an existing DT production line system; performing auto-detection on an uncertain physical object entering a production line system; performing auto-detection on an actual size of the uncertain physical object entering the production line system; warning a danger for an unsafe object by means of voice prompting, system alarming and information pushing; matching a corresponding three-dimensional (3D) model in the established model library for a safe object; and loading a matched 3D model to the DT production line system.

A production control system (1) having an arrangement of manufacturer-specific modules, comprising modules for controlling production units, modules for controlling logistics units and/or modules for providing and/or processing product data (6). Proprietary data models of manufacturer-specific modules are linked via at least one ontology unit.

A system, method, and apparatus is provided for production processes to coordinate the utilization of the operational zone for process variables and automate the execution of the target settings to maximize the production goals without requiring human intervention.

A production control system (1) having an arrangement of manufacturer-specific modules, comprising modules for controlling production units, modules for controlling logistics units and/or modules for providing and/or processing product data (6). Proprietary data models of manufacturer-specific modules are linked via at least one ontology unit.

Methods, devices, and systems for production controls of process sequences in industrial processing of workpieces supported by indoor localization are provided. In one aspect, an indoor location system includes a plurality of mobile transceivers and an analyzer. At least one mobile transceiver is configured to determine a position of a selected mobile transceiver in a three-dimensional space. Each mobile transceiver is spatially assignable to a corresponding object from a group of objects within a framework of process sequences. Each object is movable in one or more dimensions in the three-dimensional space. The analyzer is configured to determine the position of the selected mobile transceiver based at least on run times of electromagnetic signals between the mobile transceivers in a position determination process and to perform tracking of a movement of a target object assigned to the selected mobile transceiver based on the position of the selected mobile transceiver.