SYSTEMS AND METHODS OF SENSOR DATA FUSION
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.
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, creating temperature measurement data; and
at least one vibration sensor operable to capture a vibration measurement of the at least one workpiece, creating vibration measurement data;
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 curation engine is operable to curate the temperature measurement data and the 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 curation engine is operable to curate the temperature measurement data by categorizing the temperature measurement data into at least one temperature property and/or at least one temperature sub-property;
wherein the at least one temperature property and/or the at least one temperature sub-property includes at least one first data point of the at least one workpiece;
wherein the at least one curation engine is operable to curate the vibration measurement data by categorizing the vibration measurement data into at least one vibration property and/or at least one vibration sub-property;
wherein the at least one vibration property and/or the at least one vibration sub-property includes the at least one first data point of the at least one workpiece and/or at least one second data point of the at least one workpiece;
wherein the at least one curation engine is operable to calculate a degree of certainty that the at least one temperature property and/or the at least one temperature sub-property is correlated to the at least one vibration property and/or the at least one vibration sub-property;
wherein the at least one computer processor is operable to instruct an advanced manufacturing machine to move the at least one workpiece; and
wherein the advanced manufacturing machine welds the at least one workpiece.
2 . The system of claim 1 , wherein 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 include a timestamp and/or a measurement over a common period of time.
3 . The system of claim 2 , wherein the at least one curation engine is further operable to curate the temperature measurement data and the vibration measurement data based in part on the timestamp and/or measurement over the common period of time.
4 . The system of claim 1 , wherein the at least one curation engine is operable to use artificial intelligence to automatically categorize the temperature measurement data into the at least one temperature property and/or the at least one temperature sub-property and the vibration measurement data into the at least one vibration property and/or the at least one vibration sub-property based in part on historical accuracy of previous categorizations by an artificial intelligence engine.
5 . The system of claim 1 , wherein the at least one curation engine is operable to curate heterogeneous, partially heterogeneous, or homogeneous properties and/or sub-properties.
6 . The system of claim 1 , wherein the at least one computer processor is located on or in a machine, an edge device, at least one server, and/or a cloud.
7 . The system of claim 1 , wherein the at least one temperature sensor is operable to include a thermocouple and the at least one vibration sensor is operable to include a piezoelectric accelerometer.
8 . The system of claim 1 , wherein the at least one temperature property and/or the at least one temperature sub-property is operable to include a temperature of the at least one workpiece and/or a position of a weld tip.
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 a temperature measurement of at least one workpiece, creating temperature measurement data;
at least one vibration sensor capturing a vibration measurement from the at least one workpiece, creating vibration measurement data;
analyzing by the at least one computer processor the temperature measurement data and the vibration measurement data;
curating by the at least one curation engine the temperature measurement data and the 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;
curating by the at least one curation engine the temperature measurement data by categorizing the temperature measurement data into at least one temperature property and/or at least one temperature sub-property;
wherein the at least one temperature property and/or the at least one temperature sub-property includes at least one first data point of the at least one workpiece;
curating by the at least one curation engine the vibration measurement by categorizing the vibration measurement data into at least one vibration property and/or at least one vibration sub-property;
wherein the at least one vibration property and/or the at least one vibration sub-property includes the at least one first data point of the at least one workpiece and/or at least one second data point of the at least one workpiece;
calculating by the at least one curation engine a degree of certainty that the at least one temperature property and/or the at least one temperature sub-property is correlated to the at least one vibration property and/or the at least one vibration sub-property;
instructing by the at least one computer processor an advanced manufacturing machine to move the workpiece; and
welding by the advanced manufacturing machine the at least one workpiece.
10 . The method of claim 9 , wherein the at least one temperature sensor is operable to include a thermocouple and the at least one vibration sensor is operable to include a piezoelectric accelerometer.
11 . The method of claim 9 , further comprising categorizing via the at least one curation engine using artificial intelligence 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 historical accuracy of previous categorizations by the at least one curation engine.
12 . The method of claim 9 , further comprising curating the temperature measurement data and the vibration measurement data in real-time.
13 . The method of claim 9 , wherein 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 include a timestamp and/or a measurement over a common period of time.
14 . The method of claim 13 , further comprising curating the temperature measurement data and the vibration measurement data based in part on the timestamp and/or measurement over the common period of time.
15 . The method of claim 9 , wherein the at least one temperature property, the at least one temperature sub-property, the at least one vibration property, and/or the at least one vibration sub-property are not associated with time.
16 . The method of claim 9 , further comprising curating heterogeneous, partially heterogeneous, or homogeneous properties and/or sub-properties.
17 . 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 curation engine is operable to curate the temperature and the vibration, the at least one link engine is operable to link the curated temperature and the curated vibration, the at least one fusion engine is operable to fuse the curated temperature and the curated vibration, the at least one inference engine is operable to determine at least one inference from the curated temperature and the curated vibration, and the at least one validation engine is operable to validate the curated temperature and the curated vibration;
wherein the at least one curation engine is operable to curate the temperature by categorizing the temperature into at least one temperature property and/or at least one temperature sub-property;
wherein the at least one temperature property and/or the at least one temperature sub-property includes at least one first data point of the at least one workpiece;
wherein the at least one curation engine is operable to curate the vibration by categorizing the vibration into at least one vibration property and/or at least one vibration sub-property;
wherein the at least one vibration property and/or the at least one vibration sub-property includes the at least one additional data point of the at least one workpiece and/or at least one second data point of the at least one workpiece;
wherein the at least one curation engine is operable to calculate a degree of certainty that the at least one temperature property and/or the at least one temperature sub-property is correlated to the at least one vibration property and/or the at least one vibration sub-property;
wherein the at least one computer processor is operable to instruct an advanced manufacturing machine to move the at least one workpiece; and
wherein the advanced manufacturing machine is operable to weld the at least one workpiece.
18 . The system of claim 17 , wherein the at least one curation engine is further operable to curate the temperature and the vibration based in part on a timestamp and/or a measurement over a common period of time.
19 . The system of claim 17 , wherein the at least one curation engine is operable to curate heterogeneous, partially heterogeneous, or homogeneous properties and/or sub-properties.
20 . The system of claim 17 , wherein the at least one curation engine is operable to use artificial intelligence to automatically categorize the temperature into the at least one temperature property and/or the at least one temperature sub-property and the vibration into the at least one vibration property and/or the at least one vibration sub-property based in part on historical accuracy of previous categorizations by an artificial intelligence engine.