Smart Mining

Smart Mining: AI Safety Monitoring Solution

Building a Visual Perception–AI Warning–System Integration closed loop for underground safety, conveyor monitoring, longwall face operations, filling pipeline monitoring, and surface haul truck driver safety.

Pain Points

Industry Challenges

Wide Monitoring Scope

Underground, conveyor, longwall, filling, and surface transport scenarios are dispersed — manual monitoring cannot continuously cover all critical risk points.

Delayed Risk Detection

Personnel violations, equipment anomalies, pipeline leaks, and driving risks mostly rely on post-incident review — timely warning and response is difficult.

Insufficient System Integration

Video, centralized control, access control, audio/visual alarms, and work order systems are fragmented — recognition results cannot form on-site closed loops.

Data Difficult to Reuse

On-site alerts, response records, and equipment status lack structured accumulation — difficult to support continuous optimization and management review.

Architecture

Smart Mining Overall Solution

The solution integrates personnel behavior recognition, equipment status monitoring, environmental risk warning, and driving safety analysis algorithms to automatically identify and analyze core operations in underground and open-pit mines.

The system builds a digital safety closed loop around Detect–Warn–Handle–Trace, supporting integration with existing video systems, centralized control, audio/visual alarms, access control, and work order workflows.

Video Integration

Edge Analytics

Real-Time Warning

Closed-Loop Response

Value

Solution Value

Proactive Safety Warning

Shifting from post-incident tracing to real-time warning — personnel violations, environmental anomalies, and equipment risks are identified instantly.

Reduced Manual Monitoring

AI analysis covers high-frequency inspection scenarios, reducing manual monitoring intensity and improving critical event detection efficiency.

Management Closed Loop

Alerts, responses, reviews, and statistical reports are integrated, supporting safety supervision, production dispatch, and operations coordination.

Scenarios

Application Scenarios

Underground Safety Monitoring & Analysis

Video data from underground explosion-proof cameras, overlaid with personnel behavior, vehicle status, and environmental risk algorithms for multi-dimensional monitoring of people, environment, and vehicles.

Core Challenge

Personnel violations, vehicle-pedestrian conflicts, chock abnormalities, and ventilation door anomalies are detected too late, easily forming safety hazards.

Detect violations: no helmet, prohibited smoking, entering restricted zones
Monitor environmental anomalies: door status, standing water, smoke
Cover scenarios: pedestrian-vehicle separation, chock, vehicle over-hooking, illegal parking

Related Products: Mining Perception Analytics Platform, AI Analytics Server, GSmart Edge Computing Terminal

Conveyor Belt Intelligent Monitoring

The system connects cameras along the conveyor belt to continuously analyze transfer points, coal flow, rollers, belt edges, and key equipment status.

Core Challenge

Long conveyor routes make misalignment, coal pile-up, foreign objects, and temperature anomalies hard to detect promptly — risking belt tearing, production halt, and equipment damage.

Detect belt misalignment, coal pile-up, large coal chunks, foreign object intrusion
Monitor coal flow, transfer points, and temperature risks via video
Link severe anomalies to shutdown or push maintenance work orders

Related Products: Mining Perception Analytics Platform, AI Analytics Server, GSmart Edge Computing Terminal

Longwall Face Equipment Status Monitoring

For shearer, scraper conveyor, hydraulic support, and other key equipment, the system analyzes equipment posture, personnel position, and transfer point environment in real time via video.

Core Challenge

Longwall faces have dense equipment and complex environments — manual assessment of equipment status and safe distances from personnel is difficult to sustain.

Detect shearer drum posture, guard board status, and transfer point coal pile-up
Assist in judging personnel position and hazardous zone entry
Combined with live streaming and anomaly events for dispatch display

Related Products: Mining Perception Analytics Platform, AI Analytics Server, Mining Intrinsically Safe PTZ Dust-Removal Camera

Mining Filling Pipeline Monitoring

Deploy dual-spectrum intelligent terminals at key nodes such as elbows, flanges, and valve assemblies, using visible and infrared fusion analysis for 24/7 detection of slurry leaks, seepage, and spray risks.

Core Challenge

Filling pipelines are widely distributed with many connection nodes — early seepage is hidden and manual patrol cannot detect it in time.

Detect elbow flanges, ground-level flanges, vertical pipes, and elbow slurry spray/seepage
24-hour dual-spectrum monitoring
Anomaly alerts, crew response, and result feedback form a closed loop

Related Products: Non-Coal Mining Video Analytics Platform, AI Video Analytics Server, Dual-Spectrum Intelligent Monitoring Terminal

Surface Haul Truck / Heavy Truck Driver Safety Monitoring

Using in-vehicle intelligent terminals and driver status recognition algorithms to detect fatigue, distraction, smoking, phone use, and other behaviors in real time.

Core Challenge

Surface haul trucks and heavy trucks operate long hours on complex routes — traditional video review cannot intervene in driving risks in time.

Detect closed eyes, yawning, smoking, phone use, and other driving risk behaviors
In-vehicle voice alerts with events synced to platform for storage and review
Compatible with haul trucks, heavy trucks, and engineering transport vehicles

Related Products: Driver Health Monitoring System, In-Vehicle Touchscreen DMS Terminal

Learn About Smart Mining Deployment

We can evaluate algorithm deployment, edge node configuration, and platform integration paths based on existing video coverage, business systems, and key risk scenarios.

Request a Demo