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US 12,743,058 B2Granted
Systems and methods of sensor data fusion
AssigneeDigital Global Systems, Inc.
InventorArmando Montalvo
Life of this patent
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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.
Claims20
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, creating fused data, the at least one inference engine is operable to determine at least one inference from the fused data, and the at least one validation engine is operable to validate the fused data;
- 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 a robot controller to move a robotic component of an advanced manufacturing machine to a position, adjusting a desired distance between the robotic component and the at least one workpiece, based on the comparison exceeding the predefined threshold.
10 more elements
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, creating 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, creating fused data, determining at least one inference by the at least one inference engine from the fused data, and validating by the at least one validation engine the fused;
- 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 a robot controller to move a robotic component of an advanced manufacturing machine to a position, adjusting a desired distance between the robotic component and the at least one workpiece, based on the comparison exceeding the predefined threshold.
9 more elements
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, creating fused data, the at least one inference engine is operable to determine at least one inference from the fused data, and the at least one validation engine is operable to validate the fused data;
- 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 a robot controller to move a robotic component of an advanced manufacturing machine to a position, adjusting a desired distance between the robotic component and the at least one workpiece, based on the comparison exceeding the predefined threshold.
10 more elements
Dependencies are inferred from the claim text.