Compression method and compression device for one-dimensional sensing signal data
By using time-domain feature analysis and a segmented compression strategy, the problem of insufficient adaptability of the fixed compression strategy for one-dimensional sensing signals in the existing technology is solved. This achieves high-fidelity, high-compression-rate, and low-latency compression processing of high-frequency signals, meeting the real-time and accuracy requirements of industrial monitoring.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- SHENZHENSHI YUZHAN PRECISION TECH CO LTD
- Filing Date
- 2026-04-22
- Publication Date
- 2026-07-17
AI Technical Summary
In existing technologies, the fixed compression strategy for one-dimensional sensing signals cannot adapt to the dynamic characteristics of high-frequency sensing signals, resulting in the loss of key data, low signal reconstruction accuracy, and the consumption of core computing power of industrial control computers, which affects the real-time performance and accuracy of monitoring.
By analyzing time-domain features, the boundaries and types of the data stream are identified. The signal data stream is processed in segments, and an appropriate target compression strategy is selected to compress each data segment, generating the target compression result and splicing them into a complete compressed data stream.
It achieves high-fidelity, high-compression-rate, and low-latency signal compression, meeting the real-time and accuracy requirements of industrial scenarios and ensuring that critical information is not lost.
Smart Images
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