CPC G01H 3/12 (2013.01) [G01S 5/20 (2013.01)] | 20 Claims |
1. 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.
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