Andrew W Locke

US Patent:

20220245574, Aug 4, 2022

Filed:

Apr 15, 2022

Appl. No.:

17/722130

Inventors:

- Fort Lauderdale FL, US
Andrew Cardno - San Diego CA, US
Jenna Parenti - Denver CO, US
Andrew S. Locke - Farmington MI, US

International Classification:

G06Q 10/08
G06F 9/451

Abstract:

A digital product network system generally includes a set of digital products each having a product memory, a product network interface, and a product processor programmed with product instructions; a product network control tower having a control tower memory, a control tower network interface, and a control tower processor programmed with control tower instructions; and a digital twin system defined at least in part by at least one of the product instructions or the control tower instructions to encode a set of digital twins representing the set of digital products.

US Patent:

20230127651, Apr 27, 2023

Filed:

Sep 9, 2022

Appl. No.:

17/942069

Inventors:

- Fort Lauderdale FL, US
Andrew Cardno - San Diego CA, US
Jenna Parenti - Denver CO, US
Andrew S. Locke - Farmington MI, US

International Classification:

G06Q 10/06
G06Q 10/08
G06Q 30/02

Abstract:

A digital product network system includes a set of digital products each having a product memory, a product network interface, and a product processor programmed with product instructions. The digital product network system includes a product network control tower having a control tower memory, a control tower network interface, and a control tower processor programmed with control tower instructions. The digital product network system includes a digital twin system defined at least in part by at least one of the product instructions or the control tower instructions to encode a set of digital twins representing the set of digital products

US Patent:

20230102209, Mar 30, 2023

Filed:

Sep 9, 2022

Appl. No.:

17/942075

Inventors:

- Fort Lauderdale FL, US
Andrew Cardno - San Diego CA, US
Jenna Parenti - Denver CO, US
Andrew S. Locke - Farmington MI, US
Teymour S. El-Tahry - Detroit MI, US

International Classification:

G06F 16/2458
G06F 16/27

Abstract:

A method for processing a query for data stored in a distributed database includes receiving, at an edge device, the query for data stored in the distributed database from a query device. The query is a request for data stored at the edge device and for data stored at other edge devices. The method includes executing, by the edge device, the query to find partial query results comprising the data stored at the edge device. The method includes generating, by the edge device, statistical information based on the partial query results. The method includes determining, by the edge device, a statistical confidence associated with the partial results based on the statistical information. The method includes generating, by the edge device, an approximate response to the query based on the statistical information. The method includes transmitting the approximate response to the query device.

US Patent:

20230079074, Mar 16, 2023

Filed:

Sep 9, 2022

Appl. No.:

17/942073

Inventors:

- Fort Lauderdale FL, US
Andrew Cardno - San Diego CA, US
Jenna Parenti - Denver CO, US
Andrew S. Locke - Farmington MI, US
Teymour S. El-Tahry - Detroit MI, US

International Classification:

G06F 16/2455
G06F 16/182

Abstract:

A method for processing a query for data stored in a distributed database includes receiving, at an edge device, the query for data stored in the distributed database from a query device. The method includes causing, by the edge device, the query to be stored on a dynamic ledger maintained by the distributed database. The method includes detecting, by the edge device, that summary data has been stored on the dynamic ledger. The method includes generating, by the edge device, an approximate response to the query based on the summary data stored on the dynamic ledger. The method includes transmitting, to the query device, the approximate response.

US Patent:

20230080545, Mar 16, 2023

Filed:

Sep 9, 2022

Appl. No.:

17/942078

Inventors:

- Fort Lauderdale FL, US
Andrew Cardno - San Diego CA, US
Jenna Parenti - Denver CO, US
Andrew S. Locke - Farmington MI, US

International Classification:

G05B 19/4099

Abstract:

An information technology system for a distributed manufacturing network includes an additive manufacturing management platform configured to manage process workflows for a set of distributed manufacturing network entities associated with the distributed manufacturing network. A modeling stage of a process workflow includes a digital twin modeling system defined by a product instruction or a control tower instruction to encode a set of digital twins representing a product for use by the additive manufacturing management platform. The information technology system includes an artificial intelligence system executable by a data processing system. The artificial intelligence system is trained to generate process parameters for the process workflows managed by the additive manufacturing management platform using data collected from the distributed manufacturing network entities. The information technology system includes a control system configured to adjust the process parameters during an additive manufacturing process performed by at least one of the distributed manufacturing network entities.

US Patent:

20230083724, Mar 16, 2023

Filed:

Sep 9, 2022

Appl. No.:

17/942076

Inventors:

- Fort Lauderdale FL, US
Andrew Cardno - San Diego CA, US
Jenna Parenti - Denver CO, US
Andrew S. Locke - Farmington MI, US

International Classification:

G06Q 10/08

Abstract:

A digital product network system includes a set of digital products each having a product processor, a product memory, and a product network interface. The digital product network system includes a product network control tower having a control tower processor, a control tower memory, and a control tower network. The product processor and the control tower processor collectively include non-transitory instructions that program the digital product network system to generate product level data at the product processor, transmit the product level data from the product network interface, receive the product level data at the control tower network interface, encode the product level data as a product level data structure configured to convey parameters indicated by the product level data across the set of digital products, and write the product level data structure to at least one of the product memory and the control memory.