The present invention provides a production system including: a base-unit-width specifier that specifies a base-unit width that is the common width of a plurality of base units on which a plurality of control devices and a plurality of controlled devices are mounted; a production controller that performs an operation test on the controlled devices in a first region; a disassembly condition determiner that determines a disassembly condition to disassemble the production system in units of modules such that each of the control devices and the corresponding one of the controlled devices are included in the same module, and that the dimension and weight of each module do not exceed an allowable dimension and an allowable load weight of a conveyance apparatus; and a transportation schedule setter that determines the order in which the plurality of modules are transported from the first region to a second region.

A method includes generating a workspace model having one or more robots and a plurality of image sensors, defining a plurality of pose scenarios of the one or more robots, and defining sensor characteristics of the plurality of image sensors. The method includes, for each of the plurality of pose scenarios, simulating a sensor operation of the plurality of image sensors within the workspace model based on the sensor characteristics and identifying an undetectable area within the workspace model based on the simulated sensor operation. The method includes performing a sensor placement control based on the undetectable areas associated with each of the plurality of pose scenarios.

Methods, apparatus, and processor-readable storage media for automatically migrating process capabilities using AI techniques are provided herein. An example computer-implemented method includes determining, for a process of an enterprise, process requirements by analyzing data related to the process and data related to the enterprise; generating a recommendation of process capabilities to be incorporated into the process by processing, using AI techniques, the analyzed data; forecasting behavior of the process in conjunction with portions of the recommended process capabilities by performing simulations of the process incorporating the portions of the recommended process capabilities; developing modified versions of the process, based on the forecasting, by migrating feature sets into portions of code associated with the process; testing the modified versions of the process by performing simulations of the modified versions; and deploying at least one of the modified versions of the process based on the testing.

A method of developing a production system that is aligned with the logical and physical requirements of the production system. The method includes building a logical control node as a structured data object containing a hierarchical list of design requirements associated with a portion of a production system. The logical control node is combined with other logical control nodes associated with other portions of the production system based on relationships between the respective requirements stored in the logical control nodes. The logical network is then converted into a physical model of the production system by converting the logical control nodes into their related physical nodes and confirming the arrangement of the physical nodes conforms to the relationships established in the logical network and any other relevant requirements stored in the logical control nodes.

A line designing device including a calculation unit and a storage unit, in which the storage unit holds facility information indicating a specification of each module, process design information indicating a component for manufacturing a product, work on the component, and a module used for the work, standard module information indicating a type of each of the modules and another module attachable thereto, and inter-module connection information indicating a connection specification between the modules, the module includes at least one of a facility and a device used for the work, and the calculation unit generates line configuration information identifying the module constituting a manufacturing line for manufacturing the product and connection between the modules based on the facility information, the process design information, the standard module information, and the inter-module connection information, and outputs information indicating a module constituting the manufacturing line and connection between the modules based on the line configuration information.

Disclosed are a self-adaptive configuration method and system for linkage response of a construction type, a motion type, a control type and an optimization type. The disclosure aims to provide the self-adaptive configuration method and system for linkage response of quick adjustment and design of a workshop production line. The self-adaptive configuration method comprises the following steps of step A: construction type configuration; step B: motion type design; step C: control type design; and step D: optimization type evolution, wherein the step D comprises first-level iterative optimization, second-level iterative optimization and third-level iterative optimization. A closed optimization cycle is formed by the first-level iterative optimization, the second-level iterative optimization and the third-level iterative optimization jointly, and the multi-level iterative optimization is performed on the production line linkage design framework, so that the workshop production line can be self-adaptively and quickly adjusted and designed.

A design support device includes: a memory; and a processor configured to execute a process, the process including: receiving a precedence restriction, a work time and advisability of a robot work, with respect to a product; calculating, as a first index, a continuous work number in a case where each work which a robot cannot perform is changed to a work which the robot can perform, on a basis of the precedence restriction and the advisability of the robot work; calculating, as a second index, an arrangement freedom in the case on a basis of the precedence restriction, the work time and the advisability of the robot work; associating information according to the first index and the second index with an object work of the first index and the second index; and presenting the information and the object work.

The present invention relates to the technical field of industrial automation, and in particular to a method and system for quick customized-design of an intelligent workshop. The method comprises the following steps: step A: acquiring design requirement information of a production line, and performing modeling in a simulation system according to the design requirement information; step B: performing action planning of a physical stand-alone device, performing logistics and motion planning of articles being processed, and compiling motion and action control scripts; step C: establishing, by the digital twin technology, a communication channel among a PLC system of the workshop digitization model, a PLC system of a physical workshop device and a host computer; and, step D: outputting a three-dimensional digital twin model as a blueprint for follow-up design and development of the stand-alone device, a control system and an execution system.

Embodiments herein describe forming clusters of network connected orchestration components (referred to herein as orchestrators) and distributing the management of a plurality of work cells among the orchestrators. That is, each cluster can include a plurality of work cell orchestration nodes which are the compute resources used to host an orchestrator for managing the work cells. Each cluster can be assigned to manage a particular type or version of a work cell. Because managing a work cell may use only a small fraction of the compute resources of the orchestration nodes, each orchestration node can manage multiple work cells. The embodiments herein describe distributing the work cells amongst the orchestration nodes using a work cell table which permits the orchestration nodes to assert ownership over new work cells and enable automated failover in case one of the orchestration nodes fails.

The present invention relates to the technical field of industrial automation, and in particular to a method and system for quick customized-design of an intelligent workshop. The method comprises the following steps: step A: acquiring design requirement information of a production line, and performing modeling in a simulation system according to the design requirement information; step B: performing action planning of a physical stand-alone device, performing logistics and motion planning of articles being processed, and compiling motion and action control scripts; step C: establishing, by the digital twin technology, a communication channel among a PLC system of the workshop digitization model, a PLC system of a physical workshop device and a host computer; and, step D: outputting a three-dimensional digital twin model as a blueprint for follow-up design and development of the stand-alone device, a control system and an execution system.