Efficient blast design facilitation systems and methods

Abstract

Respective embodiments disclosed herein include methods and apparatuses (1) for surveying a mine bench or other material body using at least seismic data obtained via geophone and measurement module data synchronized via a wireless link; (2) for generating hyperspectral panoramic imaging data of a blast hole or other borehole; or (3) for allowing a neural network to facilitate a differential blast design that targets a first bench part more weakly than the differential blast design targets a second bench part (along the same mine bench) at least partly based on data indicative of a much higher concentration of a valuable material in the second bench part than in the first.

1 - 11 . (canceled) 
     
     
         12 . An energy-conscious differential blast implementation method comprising:
 obtaining seismic-while-drilling data acquired while drilling numerous blast holes distributed along a mine bench each in association with XYZ location data;   selectively allowing a neural network to configure a differential blast design that targets a first bench part along the mine bench more weakly than the differential blast design targets a second bench part along the mine bench at least partly based on the seismic-while-drilling data acquired while drilling the numerous blast holes along the mine bench, wherein the differential blast design associates a first aggregate blast energy density (“D 1 ”) with the first bench part, wherein the differential blast design associates a second aggregate blast energy density (“D 2 ”) with the second bench part, wherein the differential blast design targets the first bench part more weakly insofar that D 1 <0.7*D 2  as a conditional response to a geometric model indicating both a low aggregate concentration of a first target mineral in the first bench part and a high aggregate concentration of the first target mineral in the second bench part, and wherein the high aggregate concentration is more than twice the low aggregate concentration; and   allowing the differential blast design to be transmitted to a remote resource.   
     
     
         13 . The energy-conscious differential blast implementation method of  claim 12 , further comprising:
 obtaining measurement-while-drilling data that depicts one or more blast holes of the numerous blast holes along the mine bench, wherein the allowing the neural network to configure the differential blast design that targets the first bench part along the mine bench more weakly than the differential blast design targets a second bench part along the mine bench at least partly based on the seismic-while-drilling data acquired while drilling the numerous blast holes along the mine bench is configured selectively to allow the neural network to configure the differential blast design that targets the first bench part along the mine bench more weakly than the differential blast design targets a second bench part along the mine bench partly based on the seismic-while-drilling data acquired while drilling the numerous blast holes along the mine bench and partly based on the measurement-while-drilling data acquired while drilling at least some of the numerous blast holes along the mine bench.   
     
     
         14 . The energy-conscious differential blast implementation method of  claim 13 , comprising capturing interior image data that depicts the one or more blast holes of the numerous blast holes distributed along the mine bench by:
 withdrawing a first drill from a first blast hole of the one or more blast holes using a first drill rig;   capturing a first component of interior image data using a photographic apparatus in the first blast hole; and   moving the first drill rig away from the first blast hole only after capturing the first component of the interior image data using the photographic apparatus in the first blast hole.   
     
     
         15 . The energy-conscious differential blast implementation method of  claim 14 , comprising:
 obtaining a seismic spatial model of one or more geological properties of a material body by synchronizing an onboard indication and a geological signal across one or more wireless signal paths spanning one or more free space media between a first electromagnetic transducer operably coupled to one or more vibration sensors aboard the movable part of the drill rig and a second electromagnetic transducer operably coupled to one or more geophones mechanically coupled to the material body, wherein the geometric model comprises the seismic spatial model.   
     
     
         16 . An energy-conscious differential blast implementation system comprising:
 means for obtaining seismic-while-drilling data acquired while drilling numerous blast holes distributed along a mine bench each in association with XYZ location data;   means for selectively allowing a neural network to configure a differential blast design that targets a first bench part along the mine bench more weakly than the differential blast design targets a second bench part along the mine bench at least partly based on the seismic-while-drilling data acquired while drilling the numerous blast holes along the mine bench, wherein the differential blast design associates a first aggregate blast energy density (“D 1 ”) with the first bench part, wherein the differential blast design associates a second aggregate blast energy density (“D 2 ”) with the second bench part, wherein the differential blast design targets the first bench part more weakly insofar that D 1 <0.7*D 2  as a conditional response to a geometric model indicating both a low aggregate concentration of a first target mineral in the first bench part and a high aggregate concentration of the first target mineral in the second bench part, and wherein the high aggregate concentration is more than twice the low aggregate concentration; and   means for allowing the differential blast design to be transmitted to a remote resource.   
     
     
         17 . An energy-conscious differential blast implementation system comprising:
 means for obtaining seismic-while-drilling data acquired while drilling numerous blast holes distributed along a mine bench each in association with XYZ location data; and   means for selectively allowing a neural network to configure a differential blast design that targets a first bench part along the mine bench more weakly than the differential blast design targets a second bench part along the mine bench at least partly based on the seismic-while-drilling data acquired while drilling the numerous blast holes along the mine bench, wherein the differential blast design associates a first aggregate blast energy density (“D 1 ”) with the first bench part, wherein the differential blast design associates a second aggregate blast energy density (“D 2 ”) with the second bench part, wherein the differential blast design targets the first bench part more weakly insofar that D 1 <0.7*D 2  as a conditional response to a geometric model indicating both a low aggregate concentration of a first target mineral in the first bench part and a high aggregate concentration of the first target mineral in the second bench part, and wherein the high aggregate concentration is more than twice the low aggregate concentration.