TRACKING AND TRACEABILITY OF PARTS OF A PRODUCT

    公开(公告)号:EP3620973A1

    公开(公告)日:2020-03-11

    申请号:EP19196261.2

    申请日:2019-09-09

    摘要: Systems, techniques, and computer-program products are provided for tracking and traceability of parts of a finished product. In some embodiments, the tracking and traceability generates streams of semantic data obtained from an imaging sensor system that records the execution of a manufacturing process in industrial equipment. The execution of the manufacturing process yields a finished product from initial materials and/or parts. The tracking and traceability also implements artificial reasoning about the execution of the manufacturing process to generate assertions that characterize the execution of the manufacturing process. Semantic data and assertions can be aggregated into a digital trace record that tracks a defined component of the finished product throughout the execution of the manufacturing process and permit tracing the component to a defined event within the manufacturing process.

    AUTOMATION AND CONTROL DISTRIBUTED DATA MANAGEMENT SYSTEMS

    公开(公告)号:EP3332296A1

    公开(公告)日:2018-06-13

    申请号:EP16754009.5

    申请日:2016-07-20

    IPC分类号: G05B19/05

    摘要: A system for storing data in an industrial production environment includes a distributed database stored on a plurality of intelligent programmable logic controller devices. Each respective intelligent programmable logic controller device includes a volatile computer-readable storage medium comprising a process image area; a non-volatile computer-readable storage medium; a control application; an input/output component; a historian component; and a distributed data management component. The control application is configured to provide operating instructions to a production unit. The input/output component is configured to update the process image area during each scan cycle with data associated with the production unit. The historian component is configured to store automation system data comprising the operating instructions and contents of the process image area on the non-volatile computer-readable storage medium. The distributed data management component is configured to facilitate distributed operations involving the automation system data by the plurality of intelligent programmable logic controller devices.

    AUTOMATIC COMPRESSION ALGORITHM SELECTION AND PARAMETER TUNING BASED ON CONTEXTUAL KNOWLEDGE

    公开(公告)号:EP3213162B1

    公开(公告)日:2018-11-28

    申请号:EP14799076.6

    申请日:2014-10-29

    IPC分类号: G05B19/418

    摘要: A method of compressing signal data in an intelligent programmable logic controller includes the controller creating a process image area in a volatile computer-readable storage medium operably coupled to the controller. The intelligent programmable logic controller updates the process image area with contents comprising signal data associated with a production unit and applies a compression algorithm to the contents to generate compressed signal data. The compressed signal data is stored on a non-volatile computer-readable storage medium operably coupled to the controller. The controller annotates the signal data with automation system context information to generate contextualized data. Next, the controller performs a statistical comparison of the signal data and the compressed signal data to generate statistical comparison results. Then, one or more compression parameters used by the compression algorithm may be automatically adjusted based on at least one of the statistical comparison and the contextualized data.

    SMART EMBEDDED CONTROL SYSTEM FOR A FIELD DEVICE OF AN AUTOMATION SYSTEM

    公开(公告)号:EP3403152A1

    公开(公告)日:2018-11-21

    申请号:EP16717294.9

    申请日:2016-04-07

    IPC分类号: G05B23/02

    摘要: An embedded control system for a field device of an automation system, comprising: a diagnostic application interface to a backend server for signal analytics information, complex event pattern information and diagnostic information; a physical process interface to a signal source for transferring signal data; a signal evaluation component for comparing received signal analytics information with received signal data to identify at a first and a second event; an event processing component for applying received event pattern information to at to the first and second identified events to identify at a first classified event; a diagnostic reasoning component for deriving causal dependencies between the first classified event and a further classified event with regard to diagnostic information to identify a root cause for the first classified event, or predict an impact of the first classified event. The diagnostic reasoning is pushed down to the field level with embedded data analytics functionality.