Adaptive Drill Rig Control for Blasting Fragmentation Precision
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Solution Overview
Problem
In mining, quarrying, and construction, fragmented rocks often do not achieve the desired size and vibration control, leading to inefficiencies and safety concerns.
Innovation Solution
A system and method using a drill rig to collect data during drilling, determine drilling parameters, and adapt them for subsequent holes to achieve desired fragmentation and vibration reduction, incorporating additional data from probes for improved accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If traditional drilling methods are used without real-time data collection, then the drilling process is simpler and faster, but the fragmentation precision and vibration control are insufficient
Solution Approach 1:
The system performs preliminary data collection during the drilling of the first hole, gathering rock property information before the second hole is drilled. This preliminary action enables optimized drilling parameters to be determined in advance, improving fragmentation precision without requiring complex real-time adjustments during each drilling operation.
Solution Approach 2:
The system implements feedback by using data collected from drilling the first hole to determine optimized drilling parameters that are then applied to subsequent holes. This feedback loop continuously improves fragmentation precision and vibration control based on actual rock properties encountered during drilling.
2Manufacturing precision
If drilling parameters are determined without real-time rock data, then the drilling process is simpler, but the ability to meet desired size specifications is reduced
Solution Approach 1:
The drill rig serves dual purposes: it both drills the holes and collects rock data during the drilling process. This self-service approach eliminates the need for separate data collection operations, reducing overall system complexity while improving size specification accuracy through informed drilling parameter selection.
3Productivity
If no data is collected during drilling, then the operation is simpler and faster, but subsequent blasting results cannot be optimized
Solution Approach 1:
The system maintains continuous useful action by collecting rock data during the drilling process itself, rather than requiring separate data collection steps. This approach ensures that data collection does not add to the overall timeline, as the drill rig performs both drilling and data collection simultaneously, thereby optimizing subsequent blasting efficiency without time loss.
4Object-affected harmful factors
If drilling parameters are not adapted based on rock data, then the drilling process is more straightforward, but vibration control and safety are compromised
Solution Approach 1:
The system applies parameter changes by adjusting drilling parameters based on rock data collected during the drilling process. This enables optimized control of vibrations and fragmentation outcomes, improving safety and performance while maintaining reasonable system complexity through straightforward data-to-parameter mapping.
Data Source
AI summary
Method performed by a system for determining one or more parameters to use for drilling a subsequent hole in a rock to approach a target, wherein the target is related to a subsequent blasting of the rock. The system drills a first hole in the rock. The system collects data relating to the rock, which data is collected from a drill rig during drilling of a first hole in the rock. The system determines at least one drilling parameter, based on the collected data of the rock. The system drills a second hole in the rock using the at least one drilling parameter, thereby approaching the target.