AI Agentic Blast Design Optimization System
Deploys a collaborative network of specialized AI agents that autonomously analyze geological data, optimize drill patterns, design explosive loading, sequence timing, and validate safety compliance. The system includes human-in-the-loop approval gateways for critical decisions and provides full explainability with confidence intervals for all predictions.
Problem Statement
The challenge addressed
Solution Architecture
AI orchestration approach
Mission Control interface showing blast project configuration with blast ID, location, estimated volume, rock formation selection, risk tolerance settings, budget limits, fragmentation targets using Rosin-Rammler distribution parameters, mission summary panel, and execution pipeline stages.
Agent Orchestration view displaying live multi-agent ReAct processing pipeline with real-time system telemetry including token usage, API calls, latency metrics, multiple specialized agents executing tasks with progress tracking, workflow pipeline stages, and tool invocation monitoring.
Design Studio showing AI-generated blast design with interactive drill pattern visualization using staggered variable pattern, metrics for total holes, explosives, and cost with 37% savings, 94% model confidence validated against historical blasts, ANFO and Emulsion explosive distribution, and agent activity audit trail.
End-of-Scenario Results Summary displaying mission success status with 94% overall confidence, execution summary of multi-agent collaboration, blast design optimization completion confirmation, key decision factors breakdown, and detailed scenario execution timeline with completed workflow stages.
AI Agents
Specialized autonomous agents working in coordination
Geological Analysis Agent
Blast design without detailed geological understanding results in inconsistent fragmentation, unexpected vibration, and wasted explosives. Manual geological interpretation is slow and may miss subsurface variations.
Core Logic
Analyzes geological survey data, drill cuttings, and historical performance to characterize rock formations. Identifies lithology variations, hardness zones, fracture patterns, and water table conditions. Creates geological models that inform explosive selection and loading patterns.
Drill Pattern Optimizer Agent
Suboptimal drill patterns result in poor fragmentation distribution, excessive drilling costs, and blast performance variability. Manual pattern design cannot efficiently optimize for multiple objectives simultaneously.
Core Logic
Optimizes drill hole placement, spacing, burden, depth, and angles based on geological conditions and fragmentation targets. Uses multi-objective optimization to balance drilling cost, explosive efficiency, and predicted fragmentation quality. Generates detailed drill plans with coordinates and sequences.
Explosive Loading Designer Agent
Incorrect explosive selection and loading patterns cause poor fragmentation, excessive vibration, or wasted materials. Calculating optimal powder factors and energy distribution requires complex modeling.
Core Logic
Designs explosive loading plans tailored to geological conditions and performance targets. Selects explosive types, calculates quantities per hole, determines stemming heights, and optimizes powder factors. Considers cost, availability, and safety characteristics of different explosive products.
Timing Sequence Optimizer Agent
Timing sequence design affects fragmentation quality, vibration control, muckpile shape, and flyrock risk. Manual timing design often uses standard patterns that do not optimize for site-specific conditions.
Core Logic
Optimizes detonation timing sequences to achieve target fragmentation while minimizing vibration and controlling muckpile throw. Designs inter-row and inter-hole delays based on rock properties and vibration constraints. Provides timing visualizations showing wave propagation.
Safety Validation Agent
Blast designs must comply with numerous safety regulations and site-specific constraints. Manual compliance checking is tedious and may miss violations that could result in incidents or regulatory penalties.
Core Logic
Performs comprehensive safety assessment against MSHA, EPA, and local regulations. Calculates predicted vibration (PPV), airblast levels, and flyrock ranges with confidence intervals. Determines exclusion zones, required PPE, and emergency procedures. Flags any design elements that approach or exceed safety thresholds.
Cost Optimization Agent
Blast costs include drilling, explosives, accessories, labor, and equipment. Without optimization, operations may overspend on materials or underspend resulting in poor downstream performance.
Core Logic
Performs detailed cost analysis of blast designs including all cost components. Calculates cost per ton and cost per cubic meter metrics. Compares designs against baseline performance to quantify savings. Optimizes for total cost of rock delivery including downstream processing impacts.
Prediction Validation Agent
Blast design predictions must be validated to build confidence and improve models over time. Without post-blast analysis, prediction accuracy cannot be assessed or improved.
Core Logic
Validates blast design predictions against actual outcomes after execution. Compares predicted vs actual fragmentation, vibration, and muckpile characteristics. Identifies model drift and recommends calibration adjustments. Maintains prediction accuracy metrics for continuous improvement.
Worker Overview
Technical specifications, architecture, and interface preview
System Overview
Technical documentation
Tech Stack
5 technologies
Architecture Diagram
System flow visualization