US 12,393,648 B2
Systems and methods of sensor data fusion
Armando Montalvo, Winter Garden, FL (US)
Assigned to Digital Global Systems, Inc., Tysons Corner, VA (US)
Filed by Digital Global Systems, Inc., Tysons Corner, VA (US)
Filed on Apr. 21, 2025, as Appl. No. 19/184,626.
Application 19/184,626 is a continuation of application No. 18/990,145, filed on Dec. 20, 2024, granted, now 12,314,868.
Application 18/990,145 is a continuation of application No. 18/988,120, filed on Dec. 19, 2024, granted, now 12,314,346.
Prior Publication US 2025/0244721 A1, Jul. 31, 2025
This patent is subject to a terminal disclaimer.
Int. Cl. G05B 13/02 (2006.01); G05D 111/67 (2024.01); G06F 18/21 (2023.01); G06F 18/2431 (2023.01); G06F 18/25 (2023.01); G06N 5/022 (2023.01); G06V 10/80 (2022.01); G08B 29/18 (2006.01); H04L 67/12 (2022.01); G06F 17/18 (2006.01); G06F 18/213 (2023.01)
CPC G05B 13/0205 (2013.01) [G06F 18/217 (2023.01); G06F 18/2431 (2023.01); G06F 18/25 (2023.01); G06F 18/251 (2023.01); G06N 5/022 (2013.01); H04L 67/12 (2013.01); G05D 2111/67 (2024.01); G06F 17/18 (2013.01); G06F 18/213 (2023.01); G06F 18/256 (2023.01); G06V 10/80 (2022.01); G08B 29/188 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A system for sensor data fusion for sensor management and utilization, comprising:
at least one computer processor including a memory;
at least one curation engine, at least one link engine, at least one fusion engine, at least one inference engine, and at least one validation engine;
at least one first sensor, being of a first sensor type, operable to measure a first parameter of an environment and/or a machine; and
at least one second sensor, being of a second sensor type, operable to measure a second parameter of the environment and/or the machine;
wherein the at least one computer processor is operable to analyze the first parameter and the second parameter;
wherein the at least one computer processor receives at least one query;
wherein the at least one curation engine is operable to curate the first parameter and the second parameter, the at least one link engine is operable to link the first parameter and the second parameter, the at least one fusion engine is operable to fuse the first parameter and the second parameter, the at least one inference engine is operable to determine at least one inference from the first parameter and the second parameter, and the at least one validation engine is operable to validate the first parameter and the second parameter;
wherein the at least one link engine is operable to calculate a zero link or non-zero link via calculating a conditional entropy between the first parameter and the second parameter;
wherein the at least one fusion engine is operable to fuse the first parameter and the second parameter in real-time based in part on the non-zero link, thereby creating fused data;
wherein the fused data includes at least one new data set;
wherein the at least one new data set includes an accuracy value for the at least one first sensor and/or the at least one second sensor; and
wherein the at least one inference engine includes an artificial intelligence engine operable to conduct an assessment of internal components of the at least one first sensor and the at least one second sensor based on the accuracy value.