IP Library › Granted Patent US 12,554,232
Granted Patent B2
US 12,554,232 · App. 19/252,894 · Granted Feb 17, 2026

Systems and methods of sensor data fusion

Inventor: Armando Montalvo (Winter Garden, FL)
Assignee: Digital Global Systems, Inc.
G05B13/0205B25J9/163B25J9/1694B60R19/483B60W10/18B60W30/085B60W30/09B60W60/00B60W60/0018B60W60/00186G01C3/00G01C21/1652G01C21/3804G01C21/3811G01C21/3848G01C22/00G01S5/14G01S7/4808G01S13/08G01S13/103G01S15/08G01S17/08G06F16/24G06F16/245G06F16/2455G06F16/903G06F16/90335G06F16/9035G06F18/217G06F18/2431G06F18/25G06F18/251G06N5/022G06N5/04G06N5/046G06N20/00G06T7/521G06V10/764G06V20/56G08G1/0133G08G1/04G08G1/042H04L67/12H04W4/38B60W2050/0052B60W2420/00B60W2420/40B60W2420/50B60W2510/069B60W2510/18B60W2520/04B60W2540/12B60W2556/35B60W2710/18G01S2013/93185G05D2101/15G05D2111/50G05D2111/67G06F17/18G06F18/213G06F18/256G06T2207/20024G06V10/80G08B29/188
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Quick Facts
Patent No.
US 12,554,232
App. No.
19/252,894
Granted
Feb 17, 2026
Kind
B2
Abstract

Systems and methods of sensor data fusion including sensor data capture, curation, linking, fusion, inference, and validation. The systems and methods described herein reduce computational demand and processing time by curating data and calculating conditional entropy. The system is operable to fuse data from a plurality of sensor types. A computer processor optionally stores fused sensor data that the system validates above a mathematical threshold.

Claims (59)

1 . A system for sensor data fusion for sensor management and utilization in advanced manufacturing, 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 temperature sensor operable to capture temperature measurement data of at least one workpiece; and

at least one vibration sensor operable to capture vibration measurement data of the at least one workpiece;

wherein the at least one computer processor is operable to analyze the temperature measurement data and the vibration 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 temperature measurement data and the vibration measurement data, creating curated temperature measurement data and curated vibration measurement data, the at least one link engine is operable to link the curated temperature measurement data and the curated vibration measurement data, the at least one fusion engine is operable to fuse the curated temperature measurement data and the curated vibration measurement data, the at least one inference engine is operable to determine at least one inference from the curated temperature measurement data and the curated vibration measurement data, and the at least one validation engine is operable to validate the curated temperature measurement data and the curated vibration measurement data;

wherein the at least one link engine is operable to link the curated temperature measurement data and the curated vibration measurement data based in part on at least one temperature property and/or at least one temperature sub-property and at least one vibration property and/or at least one vibration sub-property;

wherein the at least one link engine is operable to calculate a conditional entropy between the at least one temperature property and/or the at least one temperature sub-property and the at least one vibration property and/or the at least one vibration sub-property based in part on the at least one query;

wherein the at least one link engine is operable to determine if the link between the at least one temperature property and/or the at least one temperature sub-property and the at least one vibration property and/or the at least one vibration sub-property is a non-existent link, a weak link, or a strong link via the conditional entropy;

wherein the at least one fusion engine creates at least one new data set;

wherein the at least one computer processor is operable to instruct at least one torch to move based on the at least one new data set; and

wherein the at least one torch welds the at least one workpiece.

2 . The system of claim 1 , wherein the at least one curation engine is operable to use artificial intelligence to determine the at least one temperature property and/or the at least one temperature sub-property and the at least one vibration property and/or the at least one vibration sub-property for the at least one link engine to calculate the conditional entropy.

3 . The system of claim 1 , wherein the non-existent link is a conditional entropy of 1, the weak link is a conditional entropy of between less than 1 and greater than or equal to 0.17, and the strong link is a conditional entropy of between less than 0.17 and 0.

4 . The system of claim 1 , wherein the at least one query is user and/or computer generated.

5 . The system of claim 1 , wherein the at least one link engine is operable to iteratively calculate the conditional entropy of the weak link until the at least one link engine calculates the non-existent link or the strong link.

6 . The system of claim 1 , wherein the at least one link engine is operable to link the curated temperature measurement data and the curated vibration measurement data in real-time.

7 . The system of claim 1 , wherein the system does not store the curated temperature measurement data and/or the curated vibration measurement data unless the at least one validation engine validates fused sensor data.

8 . The system of claim 1 , wherein the at least one vibration sensor is operable to include a piezoelectric accelerometer and the at least one temperature sensor is operable to include a thermocouple and/or an infrared sensor.

9 . A method for sensor data fusion for sensor management and utilization in advanced manufacturing, 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 temperature sensor capturing temperature measurement data of at least one workpiece;

at least one vibration sensor capturing vibration measurement data from the at least one workpiece;

analyzing by the at least one computer processor the temperature measurement data and the vibration measurement data;

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

curating by the at least one curation engine the temperature measurement data and the vibration measurement data, to create curated temperature measurement data and curated vibration measurement data, linking by the at least one link engine the curated temperature measurement data and the curated vibration measurement data, fusing by the at least one fusion engine the curated temperature measurement data and the curated vibration measurement data, determining by the at least one inference engine at least one inference from the curated temperature measurement data and the curated vibration measurement data, and validating by the at least one validation engine the curated temperature measurement data and the curated vibration measurement data;

linking by the at least one link engine the curated temperature measurement data and the curated vibration measurement data based in part on at least one temperature property and/or at least one temperature sub-property and at least one vibration property and/or at least one vibration sub-property;

calculating by the at least one link engine a conditional entropy between the at least one temperature property and/or the at least one temperature sub-property and the at least one vibration property and/or the at least one vibration sub-property based in part on the at least one query;

determining by the at least one link engine if the link between the at least one temperature property and/or the at least one temperature sub-property and the at least one vibration property and/or the at least one vibration sub-property is a non-existent link, a weak link, or a strong link via the conditional entropy;

creating by the at least one fusion engine at least one new data set;

instructing by the at least one computer processor a torch to move based on the at least one new data set; and

welding by the torch the at least one workpiece.

10 . The method of claim 9 , wherein the non-existent link is a conditional entropy of 1, the weak link is a conditional entropy of between less than 1 and greater than or equal to 0.17, and the strong link is a conditional entropy of between less than 0.17 and 0.

11 . The method of claim 9 , further comprising categorizing via the at least one curation engine the at least one temperature property and/or the at least one temperature sub-property and the at least one vibration property and/or the at least one vibration sub-property for the at least one link engine to calculate the conditional entropy based in part on historical accuracy of previous categorizations using artificial intelligence.

12 . The method of claim 9 , wherein the at least one query is user and/or computer generated.

13 . The method of claim 9 , further comprising iterating calculations so that the at least one link engine continuously calculates the conditional entropy of the weak link until the at least one link engine calculates the non-existent link or the strong link.

14 . The method of claim 9 , further comprising dynamically adjusting via the at least one link engine a threshold for the non-existent link, the weak link, or the strong link depending in part on the at least one query.

15 . A system for sensor data fusion for sensor management and utilization in advanced manufacturing, 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, a first of the at least two sensors operable to measure temperature data of at least one workpiece and a second of the at least two sensors operable to measure vibration data of the at least one workpiece;

wherein the at least one computer processor is operable to analyze the temperature data and the vibration 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 temperature data and the vibration data, creating curated temperature data and curated vibration data, the at least one link engine is operable to link the curated temperature data and the curated vibration data, the at least one fusion engine is operable to fuse the curated temperature data and the curated vibration data, the at least one inference engine is operable to determine at least one inference from the curated temperature data and the curated vibration data, and the at least one validation engine is operable to validate the curated temperature data and the curated vibration data;

wherein the at least one link engine is operable to link the curated temperature data and the curated vibration data based in part on at least one temperature property and/or at least one temperature sub-property and at least one vibration property and/or at least one vibration sub-property;

wherein the at least one temperature property and/or the at least one temperature sub-property is the same as the at least one vibration property and/or the at least one vibration sub-property;

wherein the at least one link engine is operable to calculate a conditional entropy between the at least one temperature property and/or the at least one temperature sub-property and the at least one vibration property and/or the at least one vibration sub-property based in part on the at least one query;

wherein the at least one link engine is operable to determine if the link between the at least one temperature property and/or the at least one temperature sub-property and the at least one vibration property and/or the at least one vibration sub-property is a non-existent link, a weak link, or a strong link via the conditional entropy;

wherein the at least one fusion engine creates at least one new data set;

wherein the at least one computer processor is operable to instruct movement of a torch based on the at least one new data set; and

wherein the torch is operable to weld the at least one workpiece.

16 . The system of claim 15 , wherein the non-existent link is a conditional entropy of 1, the weak link is a conditional entropy of between less than 1 and greater than or equal to 0.17, and the strong link is a conditional entropy of between less than 0.17 and 0.

17 . The system of claim 15 , wherein the at least one link engine is operable to link the curated temperature data and the curated vibration data in real-time.

18 . The system of claim 15 , wherein the at least one query is user and/or computer generated.

19 . The system of claim 15 , wherein the system does not store the curated temperature data or the curated vibration data unless the at least one validation engine validates fused sensor data.

20 . The system of claim 15 , wherein the at least one link engine is operable to dynamically adjust a threshold for the non-existent link, the weak link, and/or the strong link depending in part on the at least one query.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 11, 2025
From: MONTALVO, ARMANDO
To: DIGITAL GLOBAL SYSTEMS, INC.
Reel/Frame 071681/0420 →
Continuity (5)
Continuation 19249288 · Jun 25, 2025
Continuation In Part 19237662 · Jun 13, 2025
Continuation 18990121 · Dec 20, 2024
Continuation 18988120 · Dec 19, 2024
Related Publication 20250334933A1 · Oct 30, 2025
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