Mixed Iron Scrap Grading With Weighted Price Thresholds
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Solution Overview
Problem
Conventional methods for determining the grade of mixed iron scrap are inaccurate and time-consuming due to manual inspection and lack of precise measurement data, leading to inconsistencies in determining the grade and purchase unit price.
Innovation Solution
A device and method that utilize a processor to determine the grade of mixed iron scrap by calculating a weighted average unit price based on the percentages of different types of iron scrap and comparing it to a threshold value, using policy information to assign a first or second grade based on acceptable mixed loading criteria.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If manual inspection is used to determine iron scrap grade, then device complexity is reduced, but measurement precision and productivity deteriorate
Solution Approach 1:
The patent replaces manual mechanical inspection with an automated information processing system that uses a processor to calculate weighted average unit prices based on scrap type percentages and policy criteria, eliminating the need for manual physical inspection while achieving higher measurement precision
Solution Approach 2:
The system automatically determines scrap grades by processing input data (scrap type percentages) through predefined policy information and calculation algorithms, allowing the system to self-evaluate and determine grades without external manual intervention, thereby improving both precision and productivity
2Device complexity
If manual inspection is used to determine iron scrap grade, then device complexity is reduced, but productivity deteriorates
Solution Approach 1:
The patent replaces slow manual inspection processes with automated computational processing that instantly calculates weighted average unit prices and determines grades based on input data, dramatically improving productivity while maintaining simplicity through software-based processing
Solution Approach 2:
The system pre-establishes policy information and calculation algorithms before actual grading occurs, allowing rapid automated determination of grades by simply inputting scrap type percentages, thereby improving productivity without requiring complex real-time analysis
3Measurement precision
If accurate measurement data is collected for grade determination, then measurement precision improves, but device complexity and loss of time increase
Solution Approach 1:
The patent extracts only the essential measurement data needed for grade determination (scrap type percentages) from potentially complex measurement processes, focusing collection efforts on the critical parameter that directly impacts grading accuracy while avoiding unnecessary complex measurements
Solution Approach 2:
The system transforms raw measurement data (scrap type percentages) into meaningful grade determinations through mathematical operations (weighted average calculations), changing the parameter representation from simple composition data to evaluated grade categories, thereby achieving precision without requiring complex measurement equipment
4Measurement precision
If consistent grade determination criteria are applied, then measurement precision improves, but ease of operation deteriorates
Solution Approach 1:
The system incorporates policy information that defines acceptable mixed loading ratios and grade criteria as feedback mechanisms, automatically adjusting and validating grade determinations against established standards to ensure consistency while presenting simple user interfaces that mask the underlying complexity
Solution Approach 2:
The patent creates a universal grading system that handles multiple scrap types and mixed loading scenarios through a single integrated calculation framework, allowing the same simple process to accurately determine grades for various scrap compositions without requiring different operational procedures
Data Source
AI summary
A method for providing information related to a grade for mixed iron scrap includes obtaining policy information on a grade for mixed iron scrap for a first type of iron scrap and a second type of iron scrap; determining a normal purchase unit price for each type based on the policy information; determining a weighted average unit price for the mixed iron scrap based on a percentage of the first type of iron scrap, a percentage of the second type of iron scrap, and the normal purchase unit prices; and determining the grade for the mixed iron scrap to be a first grade corresponding to the first type of iron scrap or a second grade corresponding to the second type of iron scrap based on a result of comparing a threshold weighted average unit price determined based on the policy information with the weighted average unit price.