Project Specification Book Classification System
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Solution Overview
Problem
Conventional methods for preparing project specification books (PSB) are inefficient as they rely solely on specification section numbers, lacking classification by product types, design preferences, and geographic usage, which hinders data organization and utilization, particularly for manufacturers who lack insights into product popularity and usage patterns.
Innovation Solution
A system utilizing a computer network to classify and organize PSB creation through a service provider database, enabling classification by specification types, product types per geography, and standards, allowing for efficient preparation and utilization of PSB, and providing product type information on a geographic basis for manufacturers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional methods are used to prepare PSB based solely on specification section numbers, then the system structure remains simple, but data organization and utilization efficiency deteriorates
Solution Approach 1:
The patent segments the specification book into multiple classification dimensions: specification section numbers, product types, design preferences, and geographic locations. Each dimension is stored as separate metadata fields in the database, allowing flexible querying and combination without requiring a completely restructured system. This segmentation enables efficient data organization while maintaining manageable system complexity through modular data storage.
Solution Approach 2:
The database system is designed to serve multiple functions simultaneously: it stores specification data, classifies by multiple dimensions, enables advanced searching, and provides geographic reporting. The same database structure supports both designer needs (PSB preparation) and manufacturer needs (product usage analysis), eliminating the need for separate specialized systems and improving overall productivity.
2Loss of time
If manual filtering and searching of specification sections is performed, then the system remains simple to operate, but time consumption increases
Solution Approach 1:
The system implements feedback mechanisms through inverted index search that automatically processes search queries and returns relevant specification sections based on multiple classification dimensions. The database maintains index structures that enable rapid retrieval of specifications filtered by product type, geography, and other parameters, providing immediate feedback to users without requiring manual filtering operations.
Solution Approach 2:
The patent introduces an intermediary database layer with inverted indexes that mediates between user search queries and the stored specification data. This intermediary structure translates complex search requirements into efficient database queries, enabling fast retrieval of relevant specifications without requiring users to manually filter through large datasets, thus reducing time loss while maintaining ease of operation.
3Loss of information
If specification sections are classified only by specification section number, then the classification system remains simple, but useful information derivation is limited
Solution Approach 1:
The patent adds multiple new dimensions to the classification system: product type, design preference, and geographic location are stored as additional metadata fields alongside the traditional specification section number. This dimensional expansion enables derivation of valuable insights such as product usage patterns by geography and design preferences, transforming the classification system from a simple numbering scheme to a multi-dimensional organizational structure that unlocks valuable information.
Solution Approach 2:
The system performs preliminary classification and indexing of specification sections into multiple dimensions during data entry, rather than requiring complex analysis later. The inverted index structure is pre-built to support queries across all classification dimensions, enabling fast information derivation about product usage, geographic distribution, and design preferences without requiring time-consuming data processing during analysis phases.
4Adaptability or versatility
If manufacturers do not have product usage information, then the system remains simple, but marketing decision-making capability deteriorates
Solution Approach 1:
The database system serves dual purposes: it supports designer activities (PSB preparation, specification management) and manufacturer activities (product usage analysis, marketing insights) within a single unified platform. The same classification structure and data storage mechanisms that help designers organize specifications also enable manufacturers to query product usage by geography and type, providing versatile functionality that improves adaptability without requiring separate specialized systems.
Solution Approach 2:
The system provides feedback to manufacturers by automatically collecting and reporting product usage information from specification books. The inverted index structure enables efficient querying of product usage patterns, and the system can generate reports showing where products are used, usage frequency, and geographic distribution. This feedback mechanism transforms raw specification data into actionable marketing intelligence, improving adaptability while maintaining manageable system complexity through automated data collection and reporting.
Data Source
AI summary
A system for preparing PSB that classifies specification sections by specification type is described. The system prepares the PSB from an MSB with the specification sections classified according to the following specification types within each specification: specification section number, specification title, section part, specifications, and styles. The system also provides efficient preparation and utilization of a designer's preferred styles.A system for displaying product type information on a geographic basis for use by manufacturers is also described. This allows manufacturers to understand where their products are utilized on a geographic basis, as well as if those products are designer preferred products (base) or alternate preferred products (alternate).