Granted Patent B2

US 12,541,575 · App. 19/252,836 · Granted Feb 3, 2026

Inventor: Armando Montalvo (Winter Garden, FL)

Assignee: Digital Global Systems, Inc.

G06F18/256G06F17/18G06F18/217G06F18/2431G06F18/25G06F18/251G06N3/02B60W2556/35G05D2111/67G06F18/213G06N5/04G06N20/00G08B29/188

Abstract

Claims (53)

1 . A system for sensor data fusion for sensor management and utilization in satellite command and control, 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 radio frequency (RF) power sensor operable to capture first power measurement data of at least one RF signal sent or received by a satellite; and

at least one second RF power sensor operable to capture second power measurement data of the at least one RF signal sent or received by the satellite;

wherein the at least one computer processor is operable to analyze the first power measurement data and the second power measurement data;

wherein the at least one computer processor is operable to receive at least one query;

wherein the at least one curation engine is operable to curate the first power measurement data and the second power measurement data, creating curated first power measurement data and curated second power measurement data, the at least one link engine is operable to link the curated first power measurement data and the curated second power measurement data, the at least one fusion engine is operable to fuse the curated first power measurement data and the curated second power measurement data, creating fused data, the at least one inference engine is operable to determine at least one inference from the curated first power measurement data and the curated second power measurement data, and the at least one validation engine is operable to validate the curated first power measurement data and the curated second power measurement data;

wherein the fused data includes at least one new data set;

wherein the at least one inference engine determines the at least one inference by using artificial intelligence based in part on the at least one new data set;

wherein the at least one inference engine is operable to respond to the at least one query based in part on the at least one inference; and

wherein the at least one computer processor is operable to instruct the satellite to adjust an orientation of the satellite based on the at least one new data set.

2 . The system of claim 1 , wherein the response to the at least one query includes the power of the at least one RF signal.

3 . The system of claim 1 , wherein the at least one inference engine is operable to determine the at least one inference in real-time.

4 . The system of claim 1 , wherein the at least one inference engine is operable to determine which of the at least one first RF power sensor and/or the at least one second RF power sensor the at least one computer processor responds to based in part on the at least one inference.

5 . The system of claim 1 , wherein the at least one inference includes a numerical value.

6 . The system of claim 1 , wherein the at least one inference includes a prediction of a future event based in part on the fused data.

7 . A method for sensor data fusion for sensor management and utilization in satellite command and control, comprising:

providing at least one computer processor including a memory;

providing 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 radio frequency (RF) power sensor capturing first power measurement data of at least one RF signal sent or received by a satellite;

at least one second RF power sensor capturing second power measurement data from the at least one RF signal sent or received by a satellite;

analyzing by the at least one computer processor the first power measurement data and the second power measurement data;

receiving by the at least one computer processor at least one query;

curating by the at least one curation engine the first power measurement data and the second power measurement data, creating curated first power measurement data and curated second power measurement data, linking by the at least one link engine the curated first power measurement data and the curated second power measurement data, fusing by the at least one fusion engine the curated first power measurement data and the curated second power measurement data, creating fused data, determining at least one inference by the at least one inference engine from the curated first power measurement data and the curated second power measurement data, and validating by the at least one validation engine the curated first power measurement data and the curated second power measurement data;

wherein the fused data includes at least one new data set;

determining via the at least one inference engine the at least one inference by using artificial intelligence based in part on the at least one new data set;

responding via the at least one inference engine to the at least one query based in part on the at least one inference; and

instructing by the at least one computer processor an adjustment of the orientation of the satellite based on the at least one new data set.

8 . The method of claim 7 , wherein responding via the at least one inference engine to the at least one query includes the power of the at least one RF signal.

9 . The method of claim 7 , wherein the at least one inference includes a numerical value.

10 . The method of claim 7 , further comprising predicting via the at least one inference engine a future event based in part on the fused data.

11 . The method of claim 7 , wherein determining the at least one inference occurs in real-time.

12 . The method of claim 7 , further comprising determining via the at least one inference engine which of the at least one first RF power sensor and/or the at least one second RF power sensor the at least one computer processor responds to based in part on the at least one inference.

13 . The method of claim 7 , further comprising validating the at least one inference by the at least one validation engine by comparing the at least one inference to a second inference.

14 . A system for sensor data fusion for sensor management and utilization in satellite command and control, 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; and

at least two sensors, each of the at least two sensors operable to measure a first power of at least one radio frequency (RF) signal sent or received by a satellite and a second power of the at least one RF signal sent or received by the satellite;

wherein the at least one computer processor is operable to analyze the first power and the second power;

wherein the at least one computer processor is operable to receive at least one query;

wherein the at least one curation engine is operable to curate the first power and the second power, creating a curated first power and a curated second power, the at least one link engine is operable to link the curated first power and the curated second power, the at least one fusion engine is operable to fuse the curated first power and the curated second power, creating fused data, the at least one inference engine is operable to determine at least one inference from the curated first power and the curated second power, and the at least one validation engine is operable to validate the curated first power and the curated second power;

wherein the fused data includes at least one new data set;

wherein the at least one inference engine determines the at least one inference by using artificial intelligence based in part on the at least one new data set;

wherein the at least one inference engine is operable to respond to the at least one query based in part on the at least one inference;

wherein the at least one validation engine is operable to validate the at least one inference by comparing the at least one inference to a second inference; and

wherein the at least one computer processor is operable to instruct the satellite to adjust an orientation of the satellite based on the at least one new data set.

15 . The system of claim 14 , wherein the response to the at least one query includes the power of the at least one RF signal.

16 . The system of claim 14 , wherein the at least one inference engine is operable to determine which of the at least two sensors the at least one computer processor responds to based in part on the at least one inference.

17 . The system of claim 14 , wherein the at least one inference includes a numerical value.

18 . The system of claim 14 , wherein the at least one inference engine is operable to determine the at least one inference in real-time.

19 . The system of claim 14 , wherein the at least one inference includes a prediction of a future event based in part on the fused data.

20 . The system of claim 14 , wherein the at least one new data set includes an accuracy value for each of the at least two sensors.

Assignments (1)

Continuity (4)

References Cited (183)