首页> 外文会议>International Congress on Sound and Vibration >TRAFFIC NOISE MONITORING IN THE CITY OF MILAN: CONSTRUCTION OF A REPRESENTATIVE STATISTICAL COLLECTION OF ACOUSTIC TRENDS
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TRAFFIC NOISE MONITORING IN THE CITY OF MILAN: CONSTRUCTION OF A REPRESENTATIVE STATISTICAL COLLECTION OF ACOUSTIC TRENDS

机译:米兰市交通噪声监测:建设声学趋势的代表性统计收集

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In the context of the European project DYNAMAP, a campaign of acoustic monitoring of road traffic noise was realized in the entire area of the city of Milan. The operations involve the collection of temporal trends of noise levels in order to create a statistically significant sample for post-processing analysis. The monitoring activities encompass the following steps: - collection and selection of previous noise data concerning the road sources; - identification and selection of monitoring sites based on specific criteria such as road geometric characteristics, the functional road classification (A, D, E, F), the type of traffic, the absence of other noise sources, etc.; - acquisition of the acoustic data by weekday using various types of units for the long-term noise monitoring; - correlation of acoustic data with weather data and deletion of data when levels of rainfall and wind speed exceeding threshold values; - identification and removal of abnormal events through sonogram analysis; - acquisition of series of equivalent sound levels, measured on different time intervals: 5, 10, 15, 20, 30 and 60 minutes; - acquisition of traffic flow data related to road stretches, via statistical modeling or on-site measurements. All acquired data are stored in a geodatabase useful for further processing, such as cluster analysis and the development of an acoustic model for the city of Milan. The acquisition of noise data will also provide useful indications to size a monitoring network of low-cost sensors, one of the main target of the DYNAMAP project.
机译:在欧洲项目动态的背景下,在米兰市的整个地区实现了道路交通噪声的声学监测的运动。该操作涉及收集噪声水平的时间趋势,以便在处理后分析的统计上显着的样本。监测活动包括以下步骤: - 收集和选择有关道路来源的先前噪声数据; - 基于道路几何特征等特定标准的监测网站的识别和选择,功能路分类(A,D,E,F),交通类型,缺少其他噪声源等; - 使用各种类型的单位用于长期噪声监测,通过各种单位获取声学数据; - 当降雨量和风速度超过阈值时,使用天气数据和数据删除的声学数据的相关性; - 通过超声图分析识别和去除异常事件; - 采集不同时间间隔测量的等效声级系列:5,10,15,20,30和60分钟; - 通过统计建模或现场测量获取与道路延伸相关的交通流数据。所有获取的数据都存储在地理数据库中,用于进一步处理,例如集群分析和米兰市的声学模型的开发。噪声数据的获取还将提供有用的指示,以尺寸为低成本传感器的监控网络,DAMAMAP项目的主要目标之一。

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