Acoustic Space Monitoring with Reliability-Based Situation Detection
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Solution Overview
Problem
Existing space monitoring systems face challenges in accurately and efficiently determining space situations due to variable normal states, difficulty in setting reference values, noisy environments, and excessive data accumulation, which affect the reliability and speed of data interpretation.
Innovation Solution
A method and system for constructing a database by generating and comparing measured value information over time, evaluating reliability, and organizing it in a multidimensional data table to facilitate quick and accurate space situation determination using acoustic signals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If measured value information is cumulatively stored over time, then data volume increases, but data interpretation becomes more complex and time-consuming
Solution Approach 1:
The system performs preliminary actions by pre-calculating and storing reliability evaluation results alongside measured value information. This allows the situation determination unit to quickly assess data reliability without performing complex real-time analysis, significantly reducing interpretation time while maintaining high determination accuracy.
Solution Approach 2:
The patent segments the cumulative data into individual time-point measurements, each with its own reliability evaluation. This segmentation allows the system to process and interpret data point-by-point rather than analyzing the entire cumulative dataset simultaneously, reducing complexity and interpretation time.
2Reliability
If measured value information is cumulatively stored over time, then more data is available for analysis, but the amount of stored data becomes huge
Solution Approach 1:
The system extracts and stores only the essential elements needed for reliable situation determination: measured value information paired with its corresponding reliability evaluation. By taking out only these critical components rather than storing all raw measurement data, the system maintains determination accuracy while significantly reducing data volume.
3Measurement precision
If reference value is set to match variable normal state, then comparison accuracy improves, but reference value setting becomes difficult
Solution Approach 1:
Instead of adjusting the reference value to match the variable normal state, the patent inverts the approach by evaluating the reliability of each measured value against the reference. This inversion eliminates the complexity of dynamically setting reference values while maintaining comparison accuracy through reliability-based filtering.
Solution Approach 2:
The system enables self-service by automatically evaluating the reliability of measured values without requiring manual reference value adjustment. The reliability evaluation mechanism autonomously determines which measurements are trustworthy, eliminating the need for complex reference value setting procedures.
4Reliability
If noise is present in measured frequency-specific sound pressure information, then data interpretation reliability decreases, but noise filtering increases processing complexity
Solution Approach 1:
The patent introduces reliability evaluation information as an intermediary that mediates between noisy measured values and situation determination. This intermediary layer filters out unreliable data points without requiring complex noise filtering algorithms, maintaining interpretation reliability while keeping processing simple.
Data Source
AI summary
The present invention relates to a space monitoring system and space monitoring method using an acoustic signal. The present invention presents technology for creating a database by organizing frequency responses in a monitored space and related data so that a situation in the space can be determined easily, rapidly, and accurately, and technology for monitoring the space using same.