Blast triangulation
AssigneeApplied Research Associates, Inc.
InventorsSuthee Wiri, Charles E. Needham, David J. Ortley
Life of this patent
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Abstract
A method, system, and computer-readable media for collecting blast exposure data relating to a blast exposure event from one or more blast sensors and performing a blast exposure analysis that results in identifying the source of the blast exposure event using the blast exposure data. The one or more blast sensors may be communicatively coupled to at least one user device. Such a blast exposure analysis is provided in response to the blast exposure event such that operators may be notified of the blast exposure in real-time.
Claims20
A method for identifying and triangulating blast exposure data, the method comprising:
- training a machine learning model based on a set of historical blast data corresponding to a plurality of types of blast sources;
- receiving, from each of a plurality of blast sensors, the blast exposure data corresponding to a blast exposure, the blast exposure data comprising pressure trace data over time;
- receiving location data associated with the plurality of blast sensors;
- triangulating the blast exposure using the blast exposure data and the location data to locate a source of the blast exposure;
- estimating a yield of the blast exposure from the blast exposure data;
- identifying a blast signature of the blast exposure based on the yield from the blast exposure data;
- performing a comparison of the blast signature with one or more predefined blast signature profiles;
- identifying, using the machine learning model, the source of the blast exposure based on the comparison of the blast signature;
- and
- notifying one or more operators of the blast exposure.
A system for identifying and triangulating blast exposure data, the system comprising:
- one or more blast sensors;
- and
- a user device communicatively coupled to the one or more blast sensors, the user device comprising:
- one or more microphones;
- one or more location sensors;
- at least one processor;
- and
- at least one non-transitory memory storing computer executable instructions that when executed by the at least one processor, perform a method for identifying and triangulating the blast exposure data, the method comprising:
- receiving, from the one or more blast sensors, the blast exposure data corresponding to a blast exposure, the blast exposure data comprising pressure trace data over time;
- receiving audio data from the one or more microphones;
- receiving location data from the one or more location sensors;
- applying a clock synchronization technique to remove clock drift from the blast exposure data and the audio data from the one or more microphones using a shared global clock as a baseline;
- triangulating the blast exposure data from the one or more blast sensors and the location data to locate a source of the blast exposure based at least in part on additional blast exposure data and additional location data from a further user device;
- identifying a blast signature of the blast exposure based on the blast exposure data from the one or more blast sensors and the audio data from the one or more microphones;
- performing a comparison of the blast signature with one or more predefined blast signature profiles;
- and
- identifying the source of the blast exposure based on the comparison of the blast signature.
One or more non-transitory computer-readable media storing computer-executable instructions that, when executed by at least one processor, perform a method for identifying and triangulating blast exposure data, the method comprising:
- receiving, from each of a plurality of blast sensors, the blast exposure data corresponding to a blast exposure, the blast exposure data comprising pressure trace data over time;
- receiving location data associated with each respective blast sensor of the plurality of blast sensors;
- applying a clock synchronization technique to remove clock drift from the blast exposure data;
- triangulating the blast exposure data from two or more of the plurality of blast sensors and the location data to locate a source of the blast exposure;
- identifying a blast signature of the blast exposure based on the blast exposure data;
- performing a comparison of the blast signature with one or more predefined blast signature profiles;
- and
- identifying, using a machine learning model, the source of the blast exposure based on the comparison of the blast signature.
Dependencies are inferred from the claim text.