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Novel wireless pervasive sensor network to improve the understanding of noise in street canyons

机译：新型无线普及型传感器网络可增进对街道峡谷中噪声的了解

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摘要

This paper presents the first results of the application of an array of up to 50 novel wireless pervasive sensors, referred to as motes, developed at Newcastle University in the project, MESSAGE (Mobile Environmental Sensing System Across Grid Environments). The motes measure noise, carbon monoxide, nitrogen dioxide, temperature, humidity and traffic occupancy/flow. The system has wireless communication (using ZigBee standard) to allow daisy-chaining of data from mote to mote (either static or dynamic) to router technology which forwards the data into a gateway. This passes the data through GPRS (or hard wired web link) to be captured in real-time into an Urban Traffic Management and Control, compliant database. Following a brief discussion of the health impacts associated with noise exposure and the policy context, the validation and proof of concept of the use of a pervasive sensor array to measure noise in an urban area is demonstrated through separate deployments in Leicester (UK) and Palermo (Italy). The motes provide real-time minute by minute, noise data [Leq in dB(A)] and their low cost and small size means that they can be pervasively deployed. From the two applications the results clearly show the potential of these motes to measure noise levels and to improve the understanding of the effect of traffic flow characteristics on the minute by minute variation in noise levels in busy urban streets. The distribution of one minute LAeq noise levels measured by the standard deviation were shown to exhibit consistent but different characteristics depending which of three measurement clusters, primary congested road and well ventilated secondary roads with busy traffic, tertiary roads without acoustic screening from busy roads and finally residential streets. Predictive relationships which allow the magnitude of the standard deviation to be expected depending on the noise level are presented. The results demonstrated a measurement system and predictive method that offers potential to explore more suitable noise parameters that correlate the human response to traffic related noise.
机译：本文介绍了纽卡斯尔大学在MESSAGE（跨网格环境中的移动环境传感系统）项目中开发的多达50个新颖的无线渗透传感器阵列的应用的第一个结果，这些传感器称为微粒。微粒测量噪声，一氧化碳，二氧化氮，温度，湿度和交通占用/流量。该系统具有无线通信（使用ZigBee标准），以允许将数据从节点到节点（静态或动态）以菊花链方式连接到路由器技术，该路由器技术将数据转发到网关。这将通过GPRS（或有线网络链接）传递数据，以将其实时捕获到符合城市交通管理和控制标准的数据库中。在简要讨论了与噪声暴露和政策环境有关的健康影响之后，通过分别在莱斯特（英国）和巴勒莫市的部署展示了使用普及型传感器阵列测量城市区域噪声的验证和概念证明。 （意大利）。微粒提供了每分钟的实时，噪声数据[Leq in dB（A）]，其低成本和小尺寸意味着它们可以被广泛部署。从这两个应用程序中，结果清楚地表明了这些微粒在测量噪声水平以及增进对繁忙城市街道中噪声水平的逐分钟变化的了解方面的潜力。通过标准偏差测量的一分钟LAeq噪声水平分布显示出一致但不同的特征，这取决于三个测量集群中的哪一个，交通拥挤的主要拥挤道路和通风良好的次要道路，没有从拥挤道路进行隔音的三级道路，最后住宅街道。给出了预测关系，该关系允许根据噪声水平预期标准偏差的大小。结果证明了一种测量系统和预测方法，为探索更合适的噪声参数提供了潜力，这些噪声参数将人类对交通相关噪声的响应相关联。

著录项

  • 来源
    《Applied Acoustics》 |2013年第1期|169-180|共12页
  • 作者

    Margaret Carol Bell; Fabio Galatioto;

  • 作者单位

    School of Civil Engineering and Ceosciences, Newcastle University, Cassie Building, Claremont Road, Newcastle upon Tyne NE1 7RU, United Kingdom;

    School of Civil Engineering and Ceosciences, Newcastle University, Cassie Building, Claremont Road, Newcastle upon Tyne NE1 7RU, United Kingdom;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    urban area; pervasive wifi noise sensors; traffic noise dB(A); road classification;

    机译：市区;普及的wifi噪声传感器;交通噪音[dB（A）];道路分类;

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