Mining Vehicle Volume Measurement Equipment | Mining Truck LiDAR Automatic Volume Measurement System — Measure Without Stopping

Jinyun Robotics — A Professional Manufacturer of Mining-Grade LiDAR 3D Volume Measurement Equipment

How Exactly Should a Mining Truck's Load Volume Be Measured?

Hundreds of mining truck trips enter and leave an open-pit mine every day. The loaded volume is the core data for dispatching, settlement, and cost accounting. But traditional measurement methods each have fatal flaws:

• Manual Volume Estimation: Relying on visual experience, with errors of 15%–20%. Drivers and site operators argue endlessly, and settlement disputes never end.
• Weighbridge Weighing: A mining truck's own weight is often hundreds of tons, and queuing for the weighbridge is time-consuming. Moreover, fluctuations in ore moisture content can cause deviations of up to ±15% when converting tonnage to volume.
• Loader Counting: Only counting trips without measuring volume. Overloading and underloading cannot be detected, and profits quietly slip away.

Jinyun Robotics' Mining Truck LiDAR Automatic Volume Measurement System is purpose-built for mining scenarios — mining trucks pass through the detection lane at normal driving speed, without stopping, without contact, without queuing. 3D scanning, point cloud modeling, and volume calculation are completed within 3 seconds, with measurement error stably controlled at <3%, operating 24/7 unattended.

Core Technical Specifications

Working Principle

1. Laser Scanning: When a mining truck passes through the gantry detection lane, the solid-state LiDAR scans the truck bed in 360° 3D at a frequency of 300,000 points per second, collecting high-density point cloud data of the ore surface.
2. AI Segmentation: The algorithm automatically removes non-cargo areas such as the truck head, chassis, and tarp folds, accurately reconstructing the true form of the ore inside the truck bed.
3. Volume Calculation: The loaded point cloud is registered against the empty-truck baseline point cloud to obtain the difference, yielding the ore height distribution map. The net loaded volume is calculated by integration.
4. Data Binding: Automatic license plate recognition binds the volume data with the vehicle number, timestamp, and captured image, uploading them to the cloud management platform in real time.

Core Product Advantages

• Measure Without Stopping: Mining trucks are measured as they pass at normal driving speed, with no need to stop or queue. Hundreds of trips can be processed per day, boosting transport efficiency several times over.
• Volume in 3 Seconds: From scanning to volume output takes only 3 seconds, over 50 times more efficient than manual measurement (15 minutes per truck).
• Error <3%: Multiple accuracy grades available (<1%/<2%/<3%), far superior to the 15%–20% error rate of manual estimation.
• All-Weather Operation: Operates across the full -30°C to 60°C temperature range. Measurement accuracy is unaffected by rain, snow, dust, or nighttime darkness.
• Closed-Loop Anti-Fraud: License plate recognition + volume binding + image capture for evidence. Empty loads are automatically identified and not counted, eliminating false reporting of empty trips.
• Unattended: 24-hour uninterrupted operation replaces multiple shifts of measurement personnel, significantly cutting labor costs.

Deployment Case

A Large Open-Pit Iron Mine — Automatic Volume Measurement for 500 Truck Trips per Day, Payback in Half a Year

Pain Points: The iron mine produces over 10 million tons of ore annually, with more than 500 mining truck trips in and out per day. Previously, it relied on weighbridge weighing followed by density conversion to volume. Ore moisture content fluctuated sharply with the seasons, and conversion deviations exceeded 15% during the rainy season, making financial reconciliation difficult. During peak hours, weighbridge queues were severe, with each truck waiting more than 10 minutes, affecting transport turnover efficiency.Solution: Two sets of Jinyun Robotics' LiDAR volume measurement systems were installed on the main haul road of the mining area in a dual-lane deployment. Mining trucks automatically completed volume measurement as they passed without stopping. A cloud management backend was simultaneously launched, allowing the mine manager, dispatcher, and finance staff to view real-time per-truck volume, trip statistics, and daily/weekly/monthly reports on their mobile devices.Results: After deployment, measurement error stabilized at <3%, completely eliminating the interference of rainy-season moisture content. The time for a single truck to pass through the lane was compressed from a 10-minute weighbridge queue to a 3-second pass, significantly improving transport turnover efficiency. The three-shift positions of 6 measurement personnel were replaced by the system. Within half a year, the combined savings in labor costs and measurement dispute losses covered the equipment investment, achieving payback.

Typical Application Scenarios

About Jinyun Robotics

Jinyun Robotics focuses on the R&D, production, and application of LiDAR 3D measurement and intelligent metering equipment. Its core products include the Mining Truck LiDAR Automatic Volume Measurement System, Vehicle Volume Measurement Equipment, Vehicle Automatic Counting Robots, and other series, widely used in open-pit mines, sand and gravel yards, earthwork projects, muck transport, port bulk cargo, and other scenarios.

The company adheres to independent R&D. Its core 3D point cloud acquisition algorithms, intelligent point cloud processing algorithms, and volume measurement models are all independently developed, with key components achieving domestic substitution. Its products have been deployed at scale in multiple mining and engineering scenarios, with cumulative automated measurement and detection of hundreds of thousands of truck trips. Measurement accuracy and system stability have been fully verified.