Multi-LiDAR Volume Measurement for Real-Time Raw Material Inventory

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Solution Overview

Problem

Existing methods for measuring the volume of raw materials in large warehouses are inaccurate and lack real-time monitoring capabilities, necessitating a more precise and timely inventory management solution.

Innovation Solution

A volume measurement system utilizing multiple LiDAR sensors to acquire data, integrate it through a volume data integration calculator, and process it to create a three-dimensional point cloud for accurate volume calculation, with noise filtering and area setting, enabling real-time monitoring and data display.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If visual inspection or single laser measuring device is used, then device complexity is low, but measurement precision is insufficient

Engineering Contradiction:
Improvevolume measurement accuracyVSAvoidsystem complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The system divides the measurement task into multiple segments by deploying multiple LiDAR sensors at different positions and orientations. Each sensor captures a portion of the raw material volume, and the volume data integration calculator combines these segmented measurements into a complete three-dimensional point cloud, achieving high measurement precision without requiring a single overly complex device

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The volume data integration calculator merges data from multiple LiDAR sensors by integrating their respective three-dimensional point clouds into a unified coordinate system. This combining approach consolidates multiple simple sensor measurements into a single comprehensive volume measurement, resolving the contradiction between using multiple sensors and system complexity

Inventive Principle:
Principle #5Merging (Combining)

2Productivity

If traditional measurement methods are used, then device complexity is low, but real-time monitoring capability is lacking

Engineering Contradiction:
Improvereal-time monitoring capabilityVSAvoidsystem complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The LiDAR sensors continuously scan the raw materials in the storage space, maintaining an ongoing measurement process rather than periodic or manual inspections. The volume data integration calculator continuously processes the incoming data streams, providing uninterrupted real-time volume information for inventory management

Inventive Principle:
Principle #20Continuity of useful action

Solution Approach 2:

The system replaces traditional mechanical measurement devices and manual visual inspection with optical LiDAR technology. This substitution enables non-contact, automated, continuous measurement capabilities, achieving real-time monitoring while the electronic processing system manages the complexity rather than mechanical components

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

3Measurement precision

If multiple LiDAR sensors are deployed, then measurement precision and real-time capability improve, but device complexity increases

Engineering Contradiction:
Improvevolume measurement accuracyVSAvoidnumber of sensors and integration system
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The volume data integration calculator serves multiple functions simultaneously: it receives data from multiple LiDAR sensors, synchronizes their coordinate systems, integrates their three-dimensional point clouds, filters noise, calculates volumes, and provides real-time monitoring outputs. This multi-functionality consolidates what would otherwise be separate complex components into a single universal processing unit

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The volume data integration calculator acts as an intermediary between the multiple LiDAR sensors and the final volume measurement output. It mediates the coordination and integration of data from various sensors, managing the complexity of multiple devices through a central processing interface that standardizes and harmonizes their combined measurements

Inventive Principle:
Principle #24Intermediary (Mediator)

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

Enables highly accurate real-time volume measurement and monitoring of raw materials, facilitating efficient inventory management and asset operation through precise volume data integration and display.

Implementation Method 1

a plurality of LiDAR sensors configured to acquire data of volume measurement targets

Methodology Applied
Scientific EffectLiDAR: LIDAR

Implementation Method 2

acquire data of volume measurement targets by means of a plurality of LiDAR sensors

Methodology Applied
Scientific EffectLaser: Laser

Data Source

PatentUS20250334696A1Volume measurement method and system using lidar
Publication Date: 2025.10.30 ISSOFT CO LTD
  • US20250334696A1 patent drawing
  • US20250334696A1 patent drawing
  • US20250334696A1 patent drawing

AI summary

Disclosed is a volume measurement method and system using LiDAR, including: a plurality of LiDAR sensors configured to acquire data of volume measurement targets; and a volume data integration calculator configured to calculate the volume of the volume measurement targets by integrating the data acquired by the plurality of LiDAR sensors. Therefore, the volume measurement method and system using LiDAR according to the present disclosure can obtain highly accurate volume measurement results in real time by measuring volume on the basis of data acquired from multiple LiDAR sensors, can monitor in real time a storage space for raw materials, which are the volume measurement targets, through control of all operations such as operation control and data acquisition, and can use periodically acquired result data as a foundation for various fields, such as inventory management and asset operation.