Rule-Based Binary Data Compression for Faster Transmission
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Solution Overview
Problem
Current data compression methods split data into multiple splits of the same size, lacking regularity, which results in inefficient data transmission and increased time for compression, hindering the improvement of data transmission speed.
Innovation Solution
A method for data compression based on a preset rule, where original data is converted to binary, scanned for matching with a preset rule, separated into data splits, and then abbreviated, with the abbreviated data sent, utilizing a system comprising an acquiring, converting, scanning, abbreviating, and sending module.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If data is split into multiple splits of the same size, then data can be processed in parallel, but the data lacks regularity which increases compression time and reduces transmission efficiency
Solution Approach 1:
The patent divides data into multiple data splits based on preset rules during binary conversion, where each split contains binary data that matches specific patterns. This segmentation allows parallel processing while maintaining regularity within each split, resolving the contradiction between parallel processing capability and data regularity for efficient compression.
Solution Approach 2:
The patent changes the parameters of data splitting from fixed equal-size divisions to rule-based divisions during binary conversion. By adjusting the splitting parameters to follow preset patterns in binary data, the system achieves both regularity for fast compression and parallelizability for high productivity.
2Speed
If data is split into multiple splits of the same size, then data processing can be simplified, but transmission speed is hindered due to lack of regularity and increased compression time
Solution Approach 1:
The patent performs preliminary binary conversion and rule-based splitting before compression. By establishing regular patterns in advance through preset rules during the conversion phase, the system simplifies subsequent compression operations while achieving high transmission speed, as the regularity is already built into the data structure.
Solution Approach 2:
The patent transforms data parameters from raw format to binary format with embedded regularity patterns. This parameter change during conversion creates data structures that are both simple to process and optimized for high-speed transmission, resolving the contradiction between simplicity and speed.
Data Source
AI summary
A method for data compression based on a preset rule, a device, and a medium are provided. The method includes the following. Original data is acquired. A binary conversion on the original data is performed to obtain a binary data. The binary data is scanned, the binary data is matched with the preset rule, and binary data that is successfully matched with the preset rule is separated into a data split. The data split is abbreviated to obtain an abbreviated data split. Abbreviated data is sent, where the abbreviated data includes the abbreviated data split.