Information Processing for Construction Waste Estimation and Vendor Matching
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Solution Overview
Problem
Existing waste disposal systems face challenges in efficiently matching waste generation details with appropriate disposal vendors, leading to inefficient waste management.
Innovation Solution
An information processing apparatus and method that estimates waste generated by a work based on work information and assists in selecting a vendor for disposal by analyzing construction details, vendor capabilities, and disposal requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If waste disposal is carried out without detailed work information analysis, then the disposal process is simple, but waste estimation accuracy deteriorates
Solution Approach 1:
The system performs preliminary analysis of work information (construction plans, specifications, budgets) before waste disposal to estimate the types and amounts of waste that will be generated. This advance estimation enables accurate waste categorization and appropriate vendor selection, resolving the contradiction by preparing necessary information in advance rather than during the disposal process itself.
Solution Approach 2:
The system introduces an intermediary waste estimation module that processes work information and generates waste predictions. This intermediary component bridges the gap between simple disposal requests and complex waste analysis requirements, providing accurate waste estimates without requiring the entire disposal system to be inherently complex.
2Reliability
If multiple vendors are evaluated for waste disposal, then vendor selection accuracy improves, but the selection process time increases
Solution Approach 1:
The system replaces manual vendor evaluation processes with automated information processing that analyzes work details, waste characteristics, and vendor capabilities. This substitution of mechanical/manual evaluation with automated computational analysis maintains high selection accuracy while significantly reducing the time required for vendor selection.
Solution Approach 2:
The system creates standardized profiles and evaluation criteria for vendors based on their capabilities and past performance. These copied templates enable rapid comparison and selection of appropriate vendors without requiring exhaustive re-evaluation of each vendor for every waste disposal task, thus maintaining accuracy while reducing time consumption.
3Measurement precision
If detailed work information is collected for waste estimation, then waste categorization accuracy improves, but information processing complexity increases
Solution Approach 1:
The system segments work information into distinct categories (construction type, materials used, project scale, location) and processes each segment separately to estimate different waste characteristics. This segmentation allows accurate waste categorization by focusing on specific relevant details rather than processing all information uniformly, reducing overall processing complexity while maintaining accuracy.
Solution Approach 2:
The system develops a universal information processing framework that handles multiple types of work information (construction plans, specifications, budgets, site data) through a common estimation algorithm. This multi-functional approach enables accurate waste categorization across diverse project types without requiring separate complex processing systems for each information type.
Data Source
AI summary
An information processing apparatus of the present disclosure includes: a receiving unit that receives input of waste information representing the details of waste; and an adopting unit that adopts a vendor to ask to dispose of the waste included by the waste information based on vendor information including information on the details of business of a vendor that performs business related to disposal of waste.