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US 12,007,295 B2Granted
Blast exposure assessment system
AssigneeApplied Research Associates, Inc.
InventorsSuthee Wiri, Charles E. Needham, David J. Ortley, Christina DeVito Wagner, Tim Walilko, Andrea A. Gonzales, Sara T. Wofford
Life of this patent
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Abstract
A method, system, and computer-readable media for analyzing blast exposure data in which one or more spurious data features are identified, flagged, and removed from a set of pressure data received from a blast sensor. Pressure data sets are grouped based on waveform features to determine one or more incident overpressure parameters associated with a blast exposure event.
Claims20
A method for analyzing blast exposure data, the method comprising:
- receiving a plurality of sets of raw pressure data, each set of raw pressure data of the plurality of sets of raw pressure data collected by a respective blast sensor of a plurality of blast sensors;
- for each set of raw pressure data of the plurality of sets of raw pressure data:
- applying one or more filters and a baseline shift to the set of raw pressure data to generate a set of filtered data, the baseline shift removing a bias from the set of raw pressure data;
- identifying one or more spurious features within the set of filtered data;
- responsive to identifying the one or more spurious features, flagging one or more portions of the set of filtered data that include the one or more spurious features;
- removing the one or more flagged portions of the set of filtered data;
- automatically identifying one or more waveform features within the set of filtered data;
- grouping two or more sets of filtered data from respective sets of raw pressure data of the plurality of sets of raw pressure data into a blast event data grouping based at least in part on the one or more identified waveform features;
- and
- estimating an incident blast overpressure based on the two or more sets of filtered data within the blast event data grouping.
7 more elements
A system for analyzing blast exposure data, the system comprising:
- a data store;
- and
- at least one processor programmed to perform a blast exposure analysis method, the method comprising:
- receiving a plurality of sets of raw pressure data, each set of raw pressure data of the plurality of sets of raw pressure data collected by a respective blast sensor of a plurality of blast sensors;
- for each set of raw pressure data of the plurality of sets of raw pressure data:
- applying one or more filters and a baseline shift to the set of raw pressure data to generate a set of filtered data, the baseline shift removing a bias from the set of raw pressure data;
- identifying one or more spurious features within the set of filtered data;
- responsive to identifying the one or more spurious features, flagging one or more portions of the set of filtered data that include the one or more spurious features;
- removing the one or more flagged portions of the set of filtered data;
- automatically identifying one or more waveform features within the set of filtered data;
- grouping two or more sets of filtered data from respective sets of raw pressure data of the plurality of sets of raw pressure data into a blast event data grouping based at least in part on the one or more identified waveform features;
- estimating an incident blast overpressure based on the two or more sets of filtered data within the blast event data grouping;
- and
- storing one or more files comprising the estimated incident blast overpressure within the data store.
11 more elements
One or more non-transitory computer-readable media storing computer-executable instructions that, when executed by at least one processor, perform a method for analyzing blast exposure data, the method comprising:
- receiving a plurality of sets of raw pressure data, each set of raw pressure data of the plurality of sets of raw pressure data collected by a respective blast sensor of a plurality of blast sensors;
- for each set of raw pressure data of the plurality of sets of raw pressure data:
- applying one or more filters and a baseline shift to the set of raw pressure data to generate a set of filtered data, the baseline shift removing a bias from the set of raw pressure data;
- identifying one or more spurious features within the set of filtered data;
- responsive to identifying the one or more spurious features, flagging one or more portions of the set of filtered data that include the one or more spurious features;
- removing the one or more flagged portions of the set of filtered data;
- automatically identifying one or more waveform features within the set of filtered data;
- grouping two or more sets of filtered data from respective sets of raw pressure data of the plurality of sets of raw pressure data into a blast event data grouping based at least in part on the one or more identified waveform features;
- and
- estimating an incident blast overpressure based on the two or more sets of filtered data within the blast event data grouping.
7 more elements
Dependencies are inferred from the claim text.