Back to results
US 12,724,850 B2Granted
Systems and methods of sensor data fusion
AssigneeDigital Global Systems, Inc.
InventorArmando Montalvo
Life of this patent
Estimating the term…
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, comprising:
- at least one computer processor including a memory;
- at least one link engine, at least one fusion engine, and at least one inference engine;
- at least one first sensor, being of a first sensor type, operable to measure a first parameter of an environment and/or a machine;
- and
- at least one second sensor, being of a second sensor type, operable to measure a second parameter of the environment and/or the machine;
- wherein the at least one computer processor is operable to analyze the first parameter and the second parameter;
- wherein the at least one link engine is operable to link the first parameter and the second parameter, and wherein the at least one inference engine is operable to determine at least one inference from the first parameter and the second parameter;
- wherein the at least one link engine is operable to calculate a zero link or non-zero link via calculating a conditional entropy between the first parameter and the second parameter;
- wherein the at least one fusion engine is operable to fuse the first parameter and the second parameter in real-time based in part on the non-zero link, thereby creating fused data;
- and
- wherein the at least one inference engine includes an artificial intelligence engine operable to conduct an assessment of internal components of the at least one first sensor and the at least one second sensor based on the fused data.
8 more elements
A method for sensor data fusion for sensor management and utilization, comprising:
- providing at least one computer processor including a memory;
- providing at least one link engine, at least one fusion engine, and at least one inference engine;
- at least one first sensor, being of a first sensor type, measuring a first parameter of an environment and/or a machine;
- at least one second sensor, being of a second sensor type, measuring a second parameter of the environment and/or the machine;
- analyzing by the at least one computer processor the first parameter and the second parameter;
- linking the first parameter and the second parameter via the at least one link engine, and determining an inference from the first parameter and the second parameter via the at least one inference engine;
- calculating via the at least one link engine a zero link or non-zero link via calculating a conditional entropy between the first parameter and the second parameter;
- and
- fusing via the at least one fusion engine the first parameter and the second parameter in real-time based in part on the non-zero link thereby creating fused data;
- and
- the at least one inference engine including an artificial intelligence engine conducting an assessment of internal components of the at least one first sensor and the at least one second sensor based on the fused data.
8 more elements
A system for sensor data fusion for sensor management and utilization, comprising:
- at least one computer processor including a memory;
- at least one link engine, at least one fusion engine, and at least one inference engine;
- at least one first sensor of a first sensor type, operable to measure a first parameter of an environment and/or a machine;
- and
- at least one second sensor of a second sensor type, operable to measure a second parameter of the environment and/or the machine;
- wherein the at least one computer processor is operable to analyze data relating to the first parameter and the second parameter;
- wherein the at least one link engine is operable to link the first parameter and the second parameter, and wherein the at least one inference engine is operable to determine at least one inference from the first parameter and the second parameter;
- wherein the at least one link engine is operable to iteratively calculate a zero or non-zero link via calculating a conditional entropy between the first parameter and the second parameter;
- wherein the at least one fusion engine is operable to fuse the first parameter and the second parameter and at least one property and/or sub-property of the first parameter and the second parameter in real-time based in part on the non-zero link thereby creating fused data;
- and
- wherein the at least one inference engine includes an artificial intelligence engine operable to conduct an assessment of internal components of the at least one first sensor and the at least one second sensor based on the fused data.
8 more elements
Dependencies are inferred from the claim text.