Rock Specimen Image Acquisition with Controlled Lighting and Dust

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Solution Overview

Problem

The challenges of rock image acquisition in construction sites include dust and varying lighting conditions, which affect the quality and quantity of images, posing difficulties for deep learning-based rock identification.

Innovation Solution

A full-automatic rock specimen image acquisition device and method featuring a lighting system with adjustable light intensity, a dust system for controlled dust concentration, and a rock mass attitude control system for multi-angle imaging, ensuring consistent lighting and dust environments for image capture.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If deep learning technologies are applied for rock identification, then identification accuracy and speed are improved, but the requirement for large volume of high-quality images increases, which is difficult to meet in actual construction environments

Engineering Contradiction:
Improverock identification accuracyVSAvoidvolume of rock images
Core Design Contradiction:
Measurement precisionVSQuantity of substance

Solution Approach 1:

The system dynamically adjusts lighting intensity through controllable light sources and rotates the rock specimen at different angles using a rotating stage, enabling diverse image acquisition under varying conditions to generate sufficient training data

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The invention changes multiple parameters including light intensity, dust concentration, and rock rotation angle to capture images under diverse conditions, thereby generating large volumes of varied high-quality images for deep learning training

Inventive Principle:
Principle #35Parameter changes

2Device complexity

If images are acquired in natural lighting conditions, then equipment complexity is reduced, but image quality varies due to changing light intensity and weather conditions

Engineering Contradiction:
Improvelighting system complexityVSAvoidimage quality consistency
Core Design Contradiction:
Device complexityVSManufacturing precision

Solution Approach 1:

The system pre-arranges controllable light sources and a rotating stage before image acquisition, enabling consistent lighting conditions and systematic multi-angle imaging to ensure uniform image quality

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The invention replaces reliance on natural lighting with an artificial controllable lighting system, substituting unpredictable environmental light with stable, adjustable light sources to maintain consistent image quality

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

3Adaptability or versatility

If dust is present in the construction environment, then the authenticity of construction conditions is maintained, but dust creates pattern noises that degrade image quality

Engineering Contradiction:
Improveenvironmental condition representationVSAvoidimage quality
Core Design Contradiction:
Adaptability or versatilityVSManufacturing precision

Solution Approach 1:

The system controls dust concentration as a variable parameter, allowing images to be acquired under different dust conditions including dust-free environments for high-quality imaging and dust-containing environments for training robustness

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The dust concentration in the chamber can be dynamically adjusted during image acquisition, enabling the system to transition between clean and dusty conditions to generate diverse training data while maintaining image quality

Inventive Principle:
Principle #15Dynamics

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 multi-angle automatic image acquisition and provides high-quality data for deep learning technologies by controlling light intensity and dust concentration, enhancing the accuracy of rock feature identification.

Implementation Method 1

control the dust concentration in the lighting chamber through an electrostatic precipitator

Methodology Applied
Scientific EffectElectrostatic precipitation: Electrostatic Deposition

Implementation Method 2

diffuse the dust into the lighting chamber through an air compressor

Methodology Applied
Scientific EffectDiffusion: Diffusion

Data Source

PatentUS11293878B2Full-automatic rock specimen image acquisition device and method
Publication Date: 2022.04.05 SHANDONG UNIV
  • US11293878B2 patent drawing
  • US11293878B2 patent drawing
  • US11293878B2 patent drawing

AI summary

A full-automatic rock specimen image acquisition device and method, the device includes a central controller and a lighting system, a rock mass attitude control system, a dust system and an image acquisition system connected to the central controller respectively; the lighting system includes a lighting chamber and light sources with adjustable light intensities, and the light sources with adjustable light intensities are uniformly arranged in the lighting chamber; the rock mass attitude control system includes a rotating stage disposed in the lighting chamber for carrying the rock, a rock holder disposed on the stage, and a rotating gripper disposed above the stage for turning over the rock; and the dust system is connected to the lighting chamber, and can diffuse the dust into the lighting chamber through an air compressor and control the dust concentration in the lighting chamber through an electrostatic precipitator.