Various types of subway station noise monitoring data
收藏DataONE2024-09-05 更新2025-08-23 收录
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In this study, comprehensive monitoring was conducted on the noise environment on the platforms during operational hours at four distinct types of subway stations within the capital's metro network. To ensure precise data collection, four different noise and sound pressure measurement points were strategically positioned in the middle and at both ends of each station platform. Subsequently, the platform noise data was continuously monitored throughout the day, yielding a time series of original data on sound pressure levels for standardized continuous monitoring of the platform. The collected results spanning the entire operation period were organized into hourly sets, encompassing information on noise sources such as vehicles entering and leaving the station, the opening and closing of train doors, and platform announcements. This dataset provides original data on noise sources at subway platforms throughout the all-day train operation period, aiding researchers in understanding the so..., , , # Various types of subway station noise monitoring data
[https://doi.org/10.5061/dryad.qz612jmqz](https://doi.org/10.5061/dryad.qz612jmqz)
## Description of the data and file structure
The raw data is organized in a zipped file named \"Various types of subway station noise monitoring data\". The file size is 300GB(546GB before compression).It comprises samples collected from continuous monitoring of subway trains across nine stations during the entire operational period. The raw data was initially extracted from the RYS-INV3062C data acquisition system in .sts and .tsp formats, which include sound signals from actual measurements and details such as the time of measurement. The measurement points, located at the center of each stationâs platform and equipped with four sensors, serve as the actual samples. Samples from sensors oriented in the same direction were selected to compile the final dataset, segmenting the continuous monitoring data into one-hour time-series samples. The origin...
创建时间:
2025-08-04



