Digital Oracle Bone Language System Using Odd-Even Pinyin Processing
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Solution Overview
Problem
Existing digital restoration methods for oracle bone inscriptions face challenges with low efficiency and accuracy, especially when dealing with complex and large-scale data, and lack a deep understanding of the intrinsic structure and laws of oracle bone inscriptions.
Innovation Solution
A digital graphical language system comprising a sentence collection module, odd-even classification module, odd number processing module, even number processing module, database module, and graphical display module, which classifies Chinese vocabulary into odd and even classes, applies specific Pinyin reorganizing methods, and supports multiple output formats for accurate and efficient restoration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If image processing methods are used for digital restoration of oracle bone inscriptions, then restoration can be performed, but the calculation amount becomes large and accuracy becomes unstable when dealing with complex and large-scale data
Solution Approach 1:
The patent segments the restoration process into distinct modules: sentence collection module, odd-even classification module, odd number processing module, even number processing module, database module, and graphical display module. Each module handles specific aspects of the restoration task, dividing the complex image processing into manageable steps that improve both accuracy and efficiency.
Solution Approach 2:
The patent changes the approach from direct image processing to a multi-step parameter-based restoration process. By classifying sentences into odd and even categories and applying different processing methods to each, the system transforms the restoration parameters dynamically based on the input characteristics, thereby improving accuracy without proportionally increasing computational burden.
2Reliability
If existing digital restoration methods are used, then some restoration can be achieved, but they lack in-depth exploration and utilization of the intrinsic structure and laws of oracle bone inscriptions
Solution Approach 1:
The patent implements preliminary classification of collected sentences into odd and even categories before processing. This preliminary action based on the intrinsic structure of oracle bone inscriptions allows the system to apply appropriate processing methods in advance, improving reliability by respecting the inherent patterns of the inscriptions without requiring overly complex real-time decision-making.
Solution Approach 2:
The patent introduces intermediate processing modules (odd-even classification module, odd number processing module, even number processing module) that act as mediators between data collection and final restoration. These intermediaries systematically analyze and transform the data according to the intrinsic laws of oracle bone inscriptions, enhancing reliability while keeping each module's complexity manageable.
3Measurement precision
If comprehensive processing of all Chinese vocabulary is performed, then restoration completeness improves, but processing time and computational resources increase
Solution Approach 1:
The patent segments vocabulary processing into parallel paths for odd and even classified sentences. By dividing the comprehensive processing task into two independent processing streams, the system can handle all Chinese vocabulary with different specialized methods simultaneously, improving completeness while reducing overall processing time through parallel execution.
Data Source
AI summary
A digital graphical language system for oracle bone inscriptions comprises a sentence collection module, an odd-even classification module, an odd number processing module, an even number processing module, a database module, and a graphical display module. The system first transmits the collected information to the odd-even classification module through the sentence collection module for classification; then, the information is separately sent to the odd number processing module or even number processing module for reorganizing of Pinyin letters; finally, the corresponding oracle bone inscription image is obtained and displayed through the graphical display module. The odd-even classification module is used to classify all Chinese vocabulary into odd and even categories; the odd number processing module is used to apply a specific Pinyin reorganizing method to odd class vocabulary to obtain the corresponding oracle bone inscription.