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LiDAR-Based Automated Volume Measurement for Aggregate Transport Trucks

Construction · Philippines · 预计阅读 3 分钟

LiDAR-Based Automated Volume Measurement for Aggregate Transport Trucks

Business Scenario

Application Scenarios

Load volume measurement and transport data management for bulk aggregate trucks. The system is deployed in the vehicle passage area of the customer's yard, scanning dump trucks in and out in 3D to capture loading status and automatically calculate the loaded material volume.

Project Background

The customer has long handled bulk aggregate transport, with about 100 dump trucks entering and leaving the yard daily. Previously, the customer relied on weighbridges for weight data, but weight alone does not reflect spatial occupation of materials. In the high-frequency transport environment, the traditional stop-and-record data collection was inefficient and could not meet fast passage and digital management needs. To improve data collection in transport, the customer adopted the Neuvition dynamic truck volume measurement system, which uses LiDAR 3D scanning to automatically obtain loaded material volume and links vehicle information with measurement results.

业务场景 · 现场实拍 / 部署示意

Customer Challenge

Core Customer Problem

1. Traditional weighing only reflects weight, lacking intuitive volume data.
2. Vehicle measurement required stopping, disrupting continuous transport.
3. Manual recording is inefficient and data management is inconvenient.
4. No integrated management of vehicles, measurement results and history.

Solutions

Implementation Plan

Deployed a dynamic truck volume measurement system for the customer's transport scenario: one LiDAR as the core measurement device, integrated with LPR license plate recognition, an electrical control cabinet and a volume measurement software platform. Vehicles pass through the detection area at about 5–10 km/h without stopping; the system captures empty-load and full-load 3D point clouds, compares spatial changes and calculates the loaded material volume within seconds, linking plate number, scan time and results into complete transport records.

Deployment & Installation

One dynamic truck volume measurement system is deployed on site. The measurement equipment is installed in the vehicle passage area so vehicles can be measured without stopping. Vehicles pass through the detection area at about 5–10 km/h, and the system generates volume results within seconds after scanning.

System Integration

The system integrates LPR license plate recognition to automatically match vehicle identity with measurement data. The software platform supports point cloud viewing, scan status, volume result queries, historical data management and data export.

解决方案 · 设备安装 / 系统架构

Case Value

Case Highlights

1. Non-stop dynamic measurement: vehicles are scanned during normal transport flow without extra stops, improving throughput.
2. 3D point-cloud-based calculation: load volume is computed automatically by comparing empty-load and full-load spatial data.
3. Vehicle-info binding: LPR recognition ties each vehicle to its measurement results for easy later queries.
4. Built for high-frequency transport: the system supports the customer's daily data collection of about 100 vehicles.

Project Results

After go-live, the customer achieved automated load-volume measurement, reducing manual measurement and recording work and improving on-site transport data collection efficiency. Combined vehicle recognition, 3D measurement and data management let the customer grasp loading information intuitively, providing digital support for bulk material transport management.

Quantifiable Results

~100/day
Daily vehicles
±2%
Measurement accuracy
5–10 km/h
Pass-through speed (no stop)
Seconds
Result generation
量化数据 · 效果图表 / 系统界面

Customer Concerns

Customer Concerns

1. How to complete measurement without affecting vehicle transport efficiency
2. How to obtain load volume information more intuitive than weight data
3. How to reduce manual recording and improve on-site management efficiency
4. How to track vehicles against measurement data

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