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 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, 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 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 determine a non-existent link, a weak link, or a strong link between the curated temperature measurement data and the curated vibration measurement data;
wherein the at least one fusion engine is operable to fuse the curated temperature measurement data and the curated vibration measurement data based in part on the strong link and the at least one query to create 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 temperature sensor and/or the at least one vibration sensor;
wherein the at least one computer processor is operable to instruct a torch of an advanced manufacturing machine to move based on the at least one new data set; and
wherein the advanced manufacturing machine welds the at least one workpiece.
2 . The system of claim 1 , 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.
3 . The system of claim 1 , wherein the at least one fusion engine is further operable to fuse 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.
4 . The system of claim 3 , wherein the at least one temperature property and/or the at least one temperature sub-property is different than the at least one vibration property and/or the at least one vibration sub-property.
5 . The system of claim 1 , wherein the at least one fusion engine is operable to fuse the curated temperature measurement data and the curated vibration measurement data in real-time.
6 . The system of claim 1 , wherein the at least one new data set further includes a prediction about a future event.
7 . The system of claim 1 , wherein the at least one query is user and/or computer generated.
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 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, linking by the at least one link engine the curated temperature measurement data and the curated vibration measurement data, determining at least one inference by the at least one inference engine 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;
determining by the at least one link engine a non-existent link, a weak link, or a strong link between 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 based in part on the strong link and the at least one query to create 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 temperature sensor and/or the at least one vibration sensor;
instructing by the at least one computer processor a torch of an advanced manufacturing machine to move based on the at least one new data set; and
welding by the advanced manufacturing machine the at least one workpiece.
9 . The method of claim 8 , further comprising predicting a future event based in part on the fused data.
10 . The method of claim 8 , further comprising dynamically adjusting via the at least one link engine a threshold for the non-existent link, the weak link, and/or the strong link depending in part on the at least one query.
11 . The method of claim 8 , wherein the at least one query is user and/or computer generated.
12 . The method of claim 8 , further comprising fusing via the at least one fusion engine 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.
13 . The method of claim 12 , wherein the at least one temperature property and/or the at least one temperature sub-property is different than the at least one vibration property and/or the at least one vibration sub-property.
14 . The method of claim 8 , wherein fusing the curated temperature measurement data and the curated vibration measurement data occurs in real-time.
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, the at least one link engine is operable to link 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 iteratively calculate a non-existent link, a weak link, or a strong link between the curated temperature data and the curated vibration data;
wherein the at least one fusion engine is operable to fuse the curated temperature data, the curated vibration data, 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 based in part on the strong link and/or the at least one query to create 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 two sensors;
wherein the at least one computer processor is operable to instruct movement of a torch of an advanced manufacturing machine based on the at least one new data set; and
wherein the advanced manufacturing machine is operable to weld the at least one workpiece.
16 . The system of claim 15 , wherein the at least one new data set further includes a prediction about a future event.
17 . The system of claim 15 , wherein the system is operable to store only the fused data.
18 . The system of claim 15 , wherein the at least one fusion engine is operable to fuse the curated temperature data, the curated vibration data, 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 in real-time.
19 . The system of claim 15 , 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.
20 . The system of claim 15 , wherein the at least one temperature property and/or the at least one temperature sub-property is different than the at least one vibration property and/or the at least one vibration sub-property.