Abstract:

Coal preparation plants fail to monitor noise in the work area and provide early warning for equipment failure based on noise in real time. To address this issue, a noise management diagnosis system based on BS architecture was designed, which consisted of a noise acquisition subsystem and a noise time-frequency analysis processing module. The noise acquisition subsystem utilized a pickup array to collect noise, while the noise time-frequency analysis processing module employed array technology and time-frequency analysis algorithms to reduce and locate noise. To facilitate the management and analysis of noise data, a user management and analysis interface based on BS architecture was developed. The results show that the noise management diagnosis system is capable of analyzing and processing noise data from various types of equipment, locating the noise, and displaying noise levels in real time. It can also generate detailed comparative analysis reports and identify noise pollution that exceeds standard thresholds, thus facilitating the diagnosis or repair of equipment.

Key words: pickup array, coal preparation plant, noise management diagnosis, browser/server (BS) architecture, time-frequency analysis