Coal Analyzer Image Processing Inertinite Ratio
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Solution Overview
Problem
Conventional methods for measuring the ratio of microstructural component groups in coal, such as inertinite, are complex, time-consuming, and heavily dependent on human identification, making them inefficient for coke production.
Innovation Solution
A coal analyzer is developed, comprising an image acquisition unit, an identification unit, and a calculation unit, which acquires a surface image of a coal sample, identifies microstructural component groups based on reflectance, and calculates their ratios, including the total inert amount.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional microscopic identification methods are used to measure microstructural component ratios, then measurement precision can be maintained, but the measurement process becomes extremely complex and time-consuming
Solution Approach 1:
The patent replaces the manual mechanical microscopic identification system with an automated image processing system. The system captures images of coal samples and uses computer-based image analysis to automatically identify and quantify microstructural components, eliminating the need for manual microscope operation and human visual identification while maintaining measurement accuracy
Solution Approach 2:
The patent creates digital copies (images) of the coal sample microstructure and performs analysis on these copies rather than directly examining the physical sample under a microscope. This allows multiple analyses to be performed on the same sample without additional manual intervention and enables automated processing of the visual information
2Measurement precision
If manual microscopic identification is used to determine microstructural components, then accurate identification can be achieved, but the process becomes heavily dependent on human operators and is time-consuming
Solution Approach 1:
The system performs self-service by automatically analyzing the images without requiring continuous human intervention. The image processing algorithms independently identify microstructural components, calculate their ratios, and generate results, making the measurement process independent of human operators while maintaining consistent accuracy
Solution Approach 2:
The automated image processing system enables continuous analysis of multiple samples without the interruptions inherent in manual methods. The system can process images sequentially without requiring operators to reposition samples, adjust microscopes, or take breaks, thereby dramatically reducing total measurement time while maintaining identification accuracy
3Loss of information
If individual identification of microstructural components is performed, then detailed analysis is possible, but the measurement process becomes overly complicated
Solution Approach 1:
The patent merges the identification of multiple individual microstructural components into a unified automated image analysis process. The system simultaneously identifies different component types (vitrinite, inertinite, exinite) and calculates their ratios in a single integrated operation, preserving complete information while eliminating the complexity of separate identification steps
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
The coal analyzer enables easy and accurate determination of the ratio of microstructural component groups, reducing the complexity and time required for measurements, and improving the efficiency of coke production by providing reliable data for coal blending.
Implementation Method 1
an identification unit that identifies a microstructural component group included in the surface image based on a reflectance of the microstructural component group
Data Source
AI summary
An information processing device including a target person information acquisition unit configured to acquire target person information about a target person, an exercise evaluation information acquisition unit configured to acquire exercise evaluation information indicating evaluation of an exercise of the target person, a storage unit configured to store a trained model that outputs instruction content in which, when the target person information and the exercise evaluation information are input, evaluation of exercise information of the target person is estimated to be improved, and a report output unit configured to input the target person information and the exercise evaluation information to the trained model and output an instruction report including the instruction content output from the trained model.