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We digitize and datafy sound, making the condition of rotating machinery and other equipment "visible." This allows for easy condition diagnosis through sound, achieving equipment diagnostics that do not rely on experience. This product is a device condition diagnosis tool that anyone can use via a smartphone or PC app. It can directly capture the sound of the target equipment without being affected by surrounding noise. The captured sound data is visualized in graphs, enabling "visibility" of sound without relying on the knowledge or experience of the operator. It allows for the sharing of sound data, which was not possible before. Thresholds for abnormal sound inspections, which varied from person to person, can be qualitatively defined by graphing the sound.

In the infrastructure industry, early detection of anomalies and rapid response are emphasized for accident prevention and environmental conservation. Capturing subtle changes in sound and accurately understanding those changes is essential for identifying signs of malfunctions. However, traditional diagnostic methods often rely heavily on the intuition of experienced personnel, making objective judgment and information sharing challenging. The electronic listening device Kirari Muse addresses these issues by digitizing sound and making it "visible," providing an environment where anyone can easily conduct objective equipment condition diagnostics. 【Usage Scenarios】 - Inspection of rotating machinery and piping in infrastructure facilities - Identification of areas with signs of malfunction - Regular equipment diagnostics 【Benefits of Implementation】 - Reduced accident risks and emergency responses through early detection of malfunctions - Improved judgment accuracy through qualitative and standardized diagnostic criteria - Rapid information transmission and response through sharing of sound data - Establishment of a diagnostic system that does not rely on specialized knowledge