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사례 연구: 고소음 환경에서의 가스 누출 검출 (말레이시아)

이 사례 연구에서 HERTZINNO 음향 카메라가 말레이시아의 고소음 기계실에서 안정적인 가스 누출 위치 파악을如何实现하는지 보여드립니다.
사례 연구: 고소음 환경에서의 가스 누출 검출 (말레이시아),Hertzinno
사례 세부 정보

Background: The Challenge of Industrial Noise

In heavy industrial facilities—such as the turbine rooms and engine bays found in manufacturing and processing plants across Malaysia—identifying gas leaks is a critical task for operational safety and efficiency. However, the severe background noise generated by large machinery often exceeds 90 dB(A), completely drowning out the high-frequency hiss of a gas leak. For field technicians relying on traditional listening methods or basic acoustic tools, these leaks remain entirely undetectable by ear.gas leak located by acoustic camera from hertzinno

Case Study: Visualizing the Unheard in a Malaysian Plant

A recent field application at a manufacturing facility in Malaysia highlights how the HERTZINNO acoustic camera overcomes these extreme acoustic conditions. During an inspection inside the plant's high-noise engine room, the raw audio recording showed that the gas leak was completely masked by the low-frequency rumble of the machinery. To the human ear, the leak was undetectable.

However, on the HERTZINNO display, the leak location was captured instantly and remained perfectly stable, providing the maintenance team with precise visual coordinates.

This reliable performance in high-noise environments relies on two core technical capabilities:

  • Spatial Filtering (Beamforming Technology): Instead of measuring total sound pressure at a single point, the HERTZINNO microphone array utilizes advanced beamforming algorithms. By calculating the phase differences of sound waves arriving at each microphone, the system applies precise spatial filtering—effectively isolating the exact direction of the leak while suppressing ambient noise from other directions.

  • Frequency Discrimination: Mechanical background noise from engines and turbines is predominantly concentrated in the low-to-mid frequency bands. In contrast, pressurized gas leaks produce high-frequency and ultrasonic signals. HERTZINNO allows users to filter out the heavy, low-frequency rumble, focusing exclusively on the specific high-frequency bands where the leak occurs.
    Gas leak specturm from hertzinno acoustic camera.

Conclusion

Industrial background noise should not compromise safety, efficiency, or environmental compliance. This successful application in Malaysia demonstrates that by combining advanced hardware with robust signal processing, HERTZINNO transforms complex acoustic data into clear, actionable visual insights, ensuring stable and accurate leak detection under the harshest operating conditions.

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