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US 12,656,752 B2Granted
Manufacturing cloud system with applied AI
AssigneeRockwell Automation Technologies, Inc.
InventorsDaniel A. Vanbrocklin, Matthew G. White, Joshua Searles, Jason W. Malzahn, Andrew M. Wilber, Alex G. Castle, Michael J. Pantaleano
Life of this patent
Estimating the term…
Abstract
A multi-tenant, cloud-based Software-as-a-Service (SaaS) manufacturing platform offers a variety of industrial applications to end customers—including but not limited to MES, ERP, quality management, supply chain management, and customer relationship management (CRM)—and implements associated architectural features that address a number of issues relating to data sharing, security, scalability, and other concerns.
Claims20
A system, comprising:
- a memory that stores executable components;
- and
- a processor, operatively coupled to the memory, that executes the executable components, the executable components comprising:
- internal services that implement a manufacturing cloud system, wherein the manufacturing cloud system is a multi-tenant Software-as-a-Service (SaaS) system that executes an industrial manufacturing execution system (MES) on a cloud platform, and the manufacturing cloud system collects and stores data from industrial systems owned by multiple customer entities;
- a tagging component configured to tag items of the data with metadata to yield tagged data, wherein the metadata for a data item, of the items of the industrial data, collected from a first customer entity of the customer entities identifies a data type of the data item and indicates whether the data item is sharable with a second customer entity, of the customer entities, that is upstream or downstream in a supply chain relative to the first customer entity;
- and
- an artificial intelligence (AI) component configured to infer a future status of a manufacturing process performed by an industrial system owned by the second customer entity based on a prediction of an event that occurs at the first customer entity, and to render the future status on a user interface delivered to a client device associated with the customer entity, wherein the artificial intelligence component predicts the event based on application of AI analysis to the tagged data.
4 more elements
A method, comprising:
- implementing, by a system comprising a processor, a manufacturing cloud system, wherein the manufacturing cloud system is a multi-tenant Software-as-a-Service (SaaS) system that executes an industrial manufacturing execution system (MES) on a cloud platform, and the manufacturing cloud system collects and stores data from industrial systems owned by multiple customer entities;
- tagging, by the system, items of the data with metadata to yield tagged data, wherein the metadata for a data item, of the items of the industrial data, collected from a first customer entity of the customer entities identifies a data type of the data item and indicates whether the data item is sharable with a second customer entity, of the customer entities, that is upstream or downstream in a supply chain relative to the first customer entity;
- inferring, by the system, a future status of a manufacturing process executed by an industrial system owned by the second customer entity based on a prediction of an event that occurs at the first customer entity, wherein the inferring comprises inferring the future status based on application of AI to the tagged data;
- and
- rendering, by the system, the future status on a user interface delivered to a client device associated with the customer entity.
2 more elements
A non-transitory computer-readable medium having stored thereon instructions that, in response to execution, cause system comprising a processor to perform operations, the operations comprising:
- implementing a manufacturing cloud system, wherein the manufacturing cloud system is a multi-tenant Software-as-a-Service (SaaS) system that executes an industrial manufacturing execution system (MES) on a cloud platform, and the manufacturing cloud system collects and stores data from industrial systems owned by multiple customer entities;
- tagging items of the data with metadata to yield tagged data, wherein the metadata for a data item, of the items of the industrial data, collected from a first customer entity of the customer entities identifies a data type of the data item and indicates whether the data item is sharable with a second customer entity, of the customer entities, that is upstream or downstream in a supply chain relative to the first customer entity;
- inferring a future status of a manufacturing process executed by an industrial system owned by the second customer entity based on a prediction of an event that occurs at the first customer entity, wherein the inferring comprises inferring the future status based on application of AI to the tagged data;
- and
- rendering the future status on a user interface delivered to a client device associated with the customer entity.
2 more elements
Dependencies are inferred from the claim text.