Functions

LiDAR Scanner for Stockpile Volume Measurement

Accurate inventory counting of bulk materials has long been a pain point for mines, power plants, waste-to-energy facilities, ports and raw material yards. Traditional manual surveying carries safety risks, low efficiency and large calculation errors.

LiDAR scanners provide an efficient, automatic solution for stockpile scanning and volume measurement.

Mounted on fixed supports, gantries or mobile platforms, industrial LiDAR continuously scans bulk stockpiles including coal, ore, grain, solid waste and aggregates. The device collects high-density 3D point cloud data to reconstruct real, three-dimensional contours of material piles.

After data processing, the system automatically calculates the real-time stock volume, generates inventory reports and supports data docking with plant control systems.

Core Advantages

High adaptability to harsh environments

Stable operation in dusty, high-humidity and low-light scenarios such as waste bunkers, coal silos and open stock yards.

Non-contact & safe measurement

No need for personnel to approach stacked materials, avoiding risks of collapse, dust inhalation and mechanical collision.

Automatic & continuous monitoring

Supports scheduled cyclic scanning, realizing unattended regular inventory and real-time material level tracking.

3D visualization & digital twin

Restore complete point cloud models of stockpiles, intuitively display material stacking status, slope changes and abnormal accumulation.

Accurate volume calculation

Effectively reduce manual statistical deviation, provide reliable data basis for production scheduling, cost accounting and intelligent management.

Typical Application Scenarios

Waste bunker volume monitoring in waste-to-energy plants

Coal pile inventory for thermal power plants

Ore stock measurement in mining sites

Grain and bulk solid storage silo detection

Aggregate stockyard management at ports and building material factories

Working Flow

LiDAR performs omnidirectional scanning to acquire original point cloud data

Filter invalid noise points caused by dust and obstacles

Reconstruct 3D surface model of the stockpile

Calculate volume based on preset ground base plane

Output inventory data, charts and 3D models to upper management platform