Conditional Signal Storage for Anomaly-Driven Memory Resolution
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Solution Overview
Problem
The high cost and resource-intensive nature of continuously sampling and storing signals, especially those with high frequency components, due to the large memory requirements for maintaining high resolution over extended periods, poses a significant challenge in monitoring and data management.
Innovation Solution
An apparatus and method that classify signals as anomalous or non-anomalous, saving anomalous signals at higher resolution and non-anomalous signals at lower resolution or omitting them, using circuitry to quantify and compare signals against references to determine similarity and adjust resolution accordingly, thereby optimizing storage and transmission resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If continuous high-resolution sampling is performed to accurately record signals, then measurement precision is improved, but memory requirements and storage costs increase significantly
Solution Approach 1:
The patent applies local quality by using different sampling resolutions for different portions of the signal based on their importance. Normal signal portions are sampled at lower resolution while anomalous signal portions are sampled at higher resolution, thereby optimizing the balance between measurement precision and memory requirements
Solution Approach 2:
The patent dynamically changes the sampling parameter (resolution) based on the signal characteristics. The system adjusts between low-resolution and high-resolution sampling modes according to whether the signal contains anomalies, allowing flexible adaptation to different recording scenarios
2Measurement precision
If high sampling rate is used to capture high frequency components, then measurement precision is improved, but data volume and processing costs increase
Solution Approach 1:
The patent applies local quality by using different sampling rates for different signal portions. High sampling rates are applied only to anomalous signal portions containing high frequency components, while normal portions use lower sampling rates, thereby reducing overall data volume while maintaining precision where needed
3Reliability
If extended period monitoring is performed with sufficient sampling density, then reliability is improved, but storage costs and communication bandwidth requirements increase significantly
Solution Approach 1:
The patent applies local quality by storing and transmitting only the necessary portions of long-term monitoring data at high resolution. Anomalous events are captured with high fidelity while normal periods use compressed low-resolution storage, maintaining monitoring reliability while significantly reducing storage and communication costs
Solution Approach 2:
The patent extracts and prioritizes only the critical anomalous portions of long-term signals for high-resolution storage and transmission. By separating normal and anomalous signal portions, the system focuses resources on the most valuable data while maintaining comprehensive monitoring coverage
Data Source
AI summary
An apparatus comprising: circuitry configured to classify a signal; and circuitry configured to control saving of the signal to a memory with a conditional resolution, wherein a signal that is classified as anomalous is saved at higher resolution as a higher resolution signal and a signal that is not classified as anomalous is saved at lower resolution as a lower resolution signal or is not saved.