Sorting Destination Determination Using Slewing Angle Analysis
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Solution Overview
Problem
Existing methods for determining the sorting destination of dismantled parts in car dismantling machines are inaccurate due to the release point of the nibbler being away from the intended sorting destination, leading to inefficiencies in sorting operations.
Innovation Solution
A sorting destination determining device that acquires operational data from a car dismantling machine, extracts relevant records indicating slewing angles and holding states, and uses machine learning algorithms, specifically a random forest, to determine the sorting destination based on slewing angles and positional coordinates, improving accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the sorting destination is determined based on the coordinate of the release point of the nibbler, then the determination process is simple, but the accuracy is insufficient due to momentum of slewing causing the part to be released away from the sorting destination
Solution Approach 1:
The invention extracts and analyzes slewing angle data before the release point to identify the sorting destination. By performing preliminary analysis of operational data including slewing angles and holder states, the system determines the sorting destination in advance, compensating for the inaccuracy caused by momentum-induced release displacement.
Solution Approach 2:
The system uses chronologically registered operational data including slewing angles and holder states to provide feedback on the sorting operation. By analyzing the sequence of operations and detecting reversal points in slewing direction, the system accurately identifies the intended sorting destination despite the physical displacement during release.
2Measurement precision
If manual video analysis is used to determine sorting destinations, then accurate designation information can be obtained, but considerable time and effort are required
Solution Approach 1:
The system enables automatic determination of sorting destinations by processing operational data from the working machine itself. The extraction unit automatically analyzes chronologically registered data including slewing angles and holder states, eliminating the need for manual video analysis while maintaining high accuracy in sorting destination identification.
Solution Approach 2:
The invention replaces manual video analysis with automated computational processing of operational data. By substituting human observation and manual designation with algorithmic analysis of slewing angles, holder states, and operational sequences, the system achieves accurate sorting destination determination without time-consuming manual intervention.
Data Source
AI summary
A sorting destination determining device extracts first records indicating a reversal to a slewing direction of a slewing body, extracts from records before the first records a second record indicating opening of an opening/closing state, extracts from the first records a third record immediately before which the second record is registered, and determines a sorting destination of a dismantled part on the basis of a slewing angle registered in the third record.