Crusher Operation Analysis for Separating Movement and Grasping
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Solution Overview
Problem
Conventional methods for analyzing dismantling operations by crushers in end-of-life vehicle dismantling machines are inefficient, requiring significant time and being ineffective for unskilled operators, as they rely on manual analysis of operation images.
Innovation Solution
An operation analysis method that records position and open/close information of the crusher during the dismantling process, identifies key points, calculates distances, and separates movement and grasping data to automate the analysis of dismantling operations, allowing for efficient evaluation of operator skill and operation efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual analysis of operation images is used to evaluate dismantling operations, then detailed observation of operator actions is possible, but the analysis time becomes excessively long and efficiency is reduced
Solution Approach 1:
The patent replaces manual visual analysis with an automated image processing system that uses computer vision algorithms to detect and analyze crusher operations. The system automatically processes operation images to extract meaningful data about grasping actions and movements, eliminating the time-consuming manual review process while maintaining or improving analysis accuracy through consistent algorithmic evaluation.
Solution Approach 2:
The patent creates a digital representation of the dismantling operation by capturing images and extracting key features automatically. Instead of manually reviewing original operation images, the system generates processed data copies that contain the essential information needed for evaluation, enabling rapid analysis without losing critical operational details.
2Ease of operation
If unskilled operators perform dismantling operations, then operational flexibility is maintained, but wasteful operations increase and efficiency decreases
Solution Approach 1:
The patent implements an automated evaluation system that provides immediate feedback on operator performance by analyzing operation images in real-time or near-real-time. The system identifies wasteful operations such as unnecessary movements or incorrect grasping techniques and can provide guidance to improve efficiency, enabling unskilled operators to learn and improve while maintaining operational flexibility.
Solution Approach 2:
The system enables operators to self-evaluate their performance through automated analysis of their own operation images. By providing objective metrics and identification of wasteful operations, the system allows operators to independently improve their skills without requiring constant supervision from skilled operators, thereby maintaining flexibility while improving overall efficiency.
3Loss of information
If comprehensive operation data is collected for analysis, then detailed evaluation of dismantling processes is achieved, but data processing complexity and time requirements increase
Solution Approach 1:
The patent extracts only the essential features from comprehensive operation images using automated image processing. Instead of analyzing entire images in detail, the system identifies and extracts key elements such as crusher position, open/close states, and movement trajectories. This extraction approach maintains information completeness for evaluation purposes while dramatically reducing data processing complexity and time requirements.
Solution Approach 2:
The patent divides the complex operation analysis into distinct segments: image capture, feature detection, operation identification, and evaluation. By segmenting the data processing pipeline, the system can handle comprehensive operation data efficiently through specialized processing steps, reducing overall complexity while maintaining complete information capture for accurate evaluation.
Data Source
AI summary
Based on operation trajectory data an operation analysis device identifies all open points indicating positions at which the crusher is opened during the operation period and all close points indicating positions at which a crusher is closed during an operation period, calculates, as a shortest distance, a distance between each open point of the all open points and a close point nearest to the each open point, and identifies, as a sorting destination open point, an open point at which the shortest distance exceeds a first threshold value, identifies data until the crusher grasping the dismantling part moves to the sorting destination and returns to the dismantling target again from among the operation trajectory data as movement data of the crusher having moved in the dismantling operation, and identifies data in which the movement data has been removed from the operation trajectory data as grasping operation data.