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KMV1 Acoustic Camera Helps Customers With Vibration Damping Components Accurately Locate Noise Sources in Production Workshops, Improving Industrial Inspection Efficiency!

Workplace noise not only affects workers' physical and mental health, but also reduces production efficiency and can even lead to safety accidents. Long-term exposure to high-decibel levels can cause hearing loss, insomnia, and anxiety, leading to distraction and operational errors. Furthermore, noise disrupts communication and affects teamwork, further reducing overall productivity.

KM engineer visited a manufacturer of shock-absorbing components, where automated pneumatic machine was operating. Customers reported excessive noise levels in the production workshop, and they wanted to identify the source. KM engineer used KMV1 acoustic camera, measured ambient sound levels of approximately 70dB to 75dB. In two nearby workshops, they detected multiple noise sources reaching 90dB, ultimately pinpointing the source.

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KMV1 acoustic camera is a high-tech inspection device based on microphone array and acoustic imaging technology. Using an array of up to 96 high-precision microphones and advanced beamforming algorithms, it transforms invisible acoustic signals into intuitive color cloud images, enabling visual location of sound sources. The instrument can quickly and accurately locate gas leaks and electrical partial discharges. Its non-contact measurement method is safe and efficient, with a single measurement taking only seconds and displaying the sound field distribution in real time. This significantly improves the efficiency and accuracy of industrial inspections, fault diagnosis, and safety monitoring. The handheld design makes it easy to carry and operate, for even non-professionals to quickly master. It is widely used in various fields, including the power industry, petrochemicals, and manufacturing.

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KMV1 acoustic camera has significant advantages over traditional methods such as listening and point measurement. By visualizing sound, it changes the traditional way of noise and leak detection, greatly improving the efficiency and accuracy of industrial inspections, fault diagnosis and safety monitoring.

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