SYSTEMS AND METHODS FOR DISTRIBUTED CONTROL OF MANUFACTURING PROCESSES

    公开(公告)号:US20210349449A1

    公开(公告)日:2021-11-11

    申请号:US16867524

    申请日:2020-05-05

    IPC分类号: G05B19/418 H04L9/32

    摘要: Embodiments of the present disclosure provide systems and methods for controlling a manufacturing process in a manner that protects sensitive information from misuse by different entities involved in the manufacturing process. According to the present disclosure, a blueprint providing information regarding subcomponents of a product to be manufactured may be provided to a synthesizer device. The synthesizer device may engage in two-party computation with IP providers to generate a set of machine commands, which may be encrypted, and then provide a message including the set of machine commands to a manufacturer device. The manufacturer device may obtain authorization from the IP provider(s) based on the message, where the authorization may enable the manufacturer device to configure a manufacturing process in accordance with the set of machine commands to manufacture the subcomponents of the product.

    Knowledge Enabled Data Management System
    5.
    发明申请

    公开(公告)号:US20190102430A1

    公开(公告)日:2019-04-04

    申请号:US16151811

    申请日:2018-10-04

    IPC分类号: G06F17/30 G06N7/00

    摘要: A knowledge enabled data management system ingests data and stores the data as an instance in a knowledge graph according to a domain specific ontology. The instance includes stored relationships of the entities in the instance. A query regarding the data may be parsed to derive a first query entity that is used to search the knowledge graph for a first graph entity corresponding to the first query entity. Results may be returned including a first identification of the first graph entity, a second identification of at least a second graph entity related to the first graph entity stored within the knowledge graph, and additional data corresponding to the first graph entity and to the second graph entity. The additional data may include a probabilistic measure of the relationship of the first graph entity to the second graph entity.