Jason D Stewart

US Patent:

20230007852, Jan 12, 2023

Filed:

Feb 7, 2022

Appl. No.:

17/666300

Inventors:

- Boston MA, US
Jason Thomas Stewart - Venice IL, US
Rohin Wood - Perth, AU

International Classification:

G05D 11/13
G05B 17/02
B01F 35/83
B01F 35/22
B01F 23/60

Abstract:

Methods, systems, and computer storage media for providing a blending flow configuration for a material processing system that blends a material from multiple sources. A blending flow configuration identifies an arrangement of components and settings of the components in the material processing system to support blending a material. The blending flow configuration can support optimizing outcomes of different types of downstream processes. The material properties data are identified based on different types of measurements. For example, block models, lab assays, and on-stream analyzers can be used to determine a composition of the material. Grinding line performance data (or grinding line operation data) that estimates the grinding line performance or capacity can also be accessed. A description of a conveyance network design of the material processing system is generated. The conveyance network design can specifically help identify source nodes, sink nodes, transshipments nodes, and network arcs of the material processing system.

US Patent:

20230008357, Jan 12, 2023

Filed:

Feb 7, 2022

Appl. No.:

17/666320

Inventors:

- Boston MA, US
Jason Thomas Stewart - Venice IL, US
Rohin Wood - Perth, AU

International Classification:

G05B 19/418

Abstract:

Methods, systems, and computer storage media for providing an overflow management configuration for a material processing system that blends a material from multiple sources. The overflow management configuration identifies an arrangement of components and settings of the components in the material processing system to support blending a material while reducing a risk of overflow. The blending flow configuration can support optimizing outcomes of different types of downstream processes. The material properties data are identified based on different types of measurements. For example, block models, lab assays, and on-stream analyzers can be used to determine composition of the material. Grinding line performance data that estimates the grinding line performance or capacity can also be accessed. A description of a conveyance network design of the material processing system is generated. The conveyance network design can specifically help identify source nodes, sink nodes, transshipments nodes, and network arcs of the material processing system.