Security Monitoring Using Sound Field Spectrum Correlation

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Solution Overview

Problem

Existing security monitoring systems face challenges in reliably distinguishing between intrusion, fire, and temperature variation situations using sound field variations, due to inaccuracies in measuring reference sound field deviations and difficulties in quantifying sound field pattern changes, leading to vulnerabilities in detection reliability and accuracy.

Innovation Solution

A security monitoring apparatus and method that utilize correlation coefficients between sound field spectra to detect variations over time, allowing for the differentiation of intrusion, motion, and temperature variation situations by analyzing patterns in sound field changes, including daily temperature ranges and air conditioning/heating, through the use of multi-tone sound waves and correlation coefficient calculations.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If sound field variation is detected using average value and deviation measurements, then intrusion detection can be performed, but reliability is vulnerable to randomness of reference deviation and inaccuracy of sound field variation detection method

Engineering Contradiction:

Improveintrusion detection reliabilityVSAvoidsound field variation measurement precision

Core Design Contradiction:

ReliabilityVSMeasurement precision

Solution Approach 1:

The patent changes the measurement parameter from average value and deviation to correlation coefficient. This parameter transformation enables more reliable intrusion detection by measuring the similarity between current sound field spectrum and reference spectrum, thereby improving measurement precision and reducing vulnerability to randomness in reference deviation

Inventive Principle:

Principle #35Parameter changes

Solution Approach 2:

The patent replaces the mechanical measurement approach (direct sound field variation measurement) with a spectral analysis approach. By transforming sound field data into frequency domain and comparing spectral characteristics, the system achieves higher measurement precision and reliability in detecting intrusions

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Adaptability or versatility

If sound field pattern variation is analyzed to distinguish fire from intrusion, then fire detection is possible, but accurate quantitative determination is difficult due to inaccuracy in sound field variation detection and arbitrariness in pattern quantization methods

Engineering Contradiction:

Improvefire and intrusion situation distinction capabilityVSAvoidsound field pattern variation measurement precision

Core Design Contradiction:

Adaptability or versatilityVSMeasurement precision

Solution Approach 1:

The patent transforms the analysis parameter from sound field pattern shape and frequency movement to correlation coefficient between spectra. This enables accurate quantitative determination of fire versus intrusion situations by measuring spectral similarity, eliminating the arbitrariness in pattern quantization methods

Inventive Principle:

Principle #35Parameter changes

Solution Approach 2:

The patent introduces correlation coefficient as an intermediary parameter that mediates between raw sound field measurements and situation classification. This intermediary provides a precise, objective metric for distinguishing fire from intrusion based on spectral characteristics

Inventive Principle:

Principle #24Intermediary (Mediator)

3Reliability

If reference sound field deviation is obtained through multiple measurements, then detection can be performed, but time is consumed and reliability remains vulnerable due to limited measurement times

Engineering Contradiction:

Improvedetection reliabilityVSAvoidtime for reference value determination

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The patent performs preliminary spectral analysis to establish reference sound field spectrum before actual monitoring. This preliminary action captures the essential characteristics of the environment, enabling rapid subsequent comparisons without requiring multiple repeated measurements for reliability

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent changes from time-consuming average and deviation calculations to efficient correlation coefficient computation. This parameter transformation maintains high reliability while significantly reducing the time required for reference value determination and ongoing detection

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS9613508B2Security monitoring apparatus and method using correlation coefficient variation pattern of sound field spectrum

Publication Date: 2017.04.04 ELECTRONICS & TELECOMM RES INST

AI summary

Provided is a security monitoring method including outputting a multi-tone sound wave configured with a linear sum of sine waves having a plurality of frequency components inside a security monitoring space, receiving the multi-tone sound wave and calculating a sound field, calculating and storing sound field information according to frequency through the sound field, comparing reference sound field information according to frequency with the currently measured sound field information and determining whether a sound field variation occurs, and analyzing whether the sound field variation occurs collected for a certain predetermined period and distinguishing at least two events among intrusion, motion and temperature variation situations on the basis of correlation between the reference sound field spectrum and consecutive sound field spectra.