SYSTEMS AND METHODS OF SENSOR DATA FUSION

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 a temperature measurement of at least one workpiece; and

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

wherein the at least one computer processor is operable to analyze the temperature measurement and the vibration measurement;

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 and the vibration measurement, the at least one link engine is operable to link the temperature measurement and the vibration measurement, the at least one fusion engine is operable to fuse the temperature measurement and the vibration measurement, the at least one inference engine is operable to determine at least one inference from the temperature measurement and the vibration measurement, and the at least one validation engine is operable to validate the temperature measurement and the vibration measurement;

wherein the at least one inference engine is operable to determine a second inference;

wherein the at least one validation engine is operable to use artificial intelligence to compare the at least one inference to the second inference;

wherein the at least one validation engine validates the at least one inference when the comparison between the at least one inference and the second inference exceeds a predefined threshold; and

wherein the at least one computer processor is operable to instruct the at least one workpiece to move based on the comparison exceeding the predefined threshold.

2 . The system of claim 1 , wherein the predefined threshold includes the at least one inference being within about 0.5% or less of the second inference.

3 . The system of claim 1 , wherein the system is operable to store the temperature measurement and the vibration measurement after the at least one validation engine validates the at least one inference.

4 . The system of claim 1 , wherein the at least one validation engine is operable to validate the at least one inference passively and/or actively.

5 . The system of claim 4 , wherein passive validation includes not modifying an orientation of the at least one workpiece.

6 . The system of claim 4 , wherein active validation includes modifying an orientation of the at least one workpiece.

7 . The system of claim 1 , wherein the at least one validation engine is operable to use artificial intelligence to dynamically adjust the predefined threshold based in part on types of data sources, environmental factors, and/or learning from previous analyses conducted by the at least one validation engine.

8 . 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 a temperature measurement of at least one workpiece;

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

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

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

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

determining by the at least one inference engine a second inference;

comparing by the at least one validation engine via artificial intelligence the at least one inference to the second inference;

validating by the at least one validation engine the at least one inference when the comparison between the at least one inference and the second inference exceeds a predefined threshold; and

instructing by the at least one computer processor the workpiece to move based on the comparison exceeding the predefined threshold.

9 . The method of claim 8 , wherein the predefined threshold includes the at least one inference being within about 0.5% or less of the second inference.

10 . The method of claim 8 , further comprising validating the at least one inference passively and/or actively.

11 . The method of claim 10 , wherein validating passively includes not modifying an orientation of the at least one workpiece.

12 . The method of claim 10 , wherein validating actively includes modifying an orientation of the at least one workpiece.

13 . The method of claim 8 , further comprising adjusting via the at least one validation engine using artificial intelligence the predefined threshold based in part on types of data sources, environmental factors, and/or learning from previous analyses conducted by the at least one validation engine.

14 . The method of claim 8 , further comprising storing the temperature measurement and the vibration measurement after the at least one validation engine validates the at least one inference.

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 a temperature of at least one workpiece and a second of the at least two sensors operable to measure a vibration of the at least one workpiece;

wherein the at least one computer processor is operable to analyze the temperature and the vibration;

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 and the vibration, the at least one link engine is operable to link the temperature and the vibration, the at least one fusion engine is operable to fuse the temperature and the vibration, the at least one inference engine is operable to determine at least one inference from the temperature and the vibration, and the at least one validation engine is operable to validate the temperature and the vibration;

wherein the at least one inference engine is operable to determine a second inference;

wherein the at least one validation engine is operable to use artificial intelligence to compare the at least one inference to the second inference;

wherein the at least one validation engine validates the at least one inference when the comparison between the at least one inference and the second inference exceeds a predefined threshold;

wherein the at least one validation engine is operable to use artificial intelligence to dynamically adjust the predefined threshold based in part on types of data sources, environmental factors, and/or learning from previous analyses conducted by the at least one validation engine; and

wherein the at least one computer processor is operable to instruct movement of the at least one workpiece based on the comparison exceeding the predefined threshold.

16 . The system of claim 15 , wherein the predefined threshold includes the at least one inference being within about 0.5% or less of the second inference.

17 . The system of claim 15 , wherein the at least one validation engine is operable to validate the at least one inference passively and/or actively.

18 . The system of claim 17 , wherein passive validation includes not modifying a parameter.

19 . The system of claim 17 , wherein active validation includes modifying at least one parameter.

20 . The system of claim 15 , wherein the system is operable to store the temperature and the vibration after the at least one validation engine validates the at least one inference.