城市噪声污染及监测方法综述
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1.河海大学物联网工程学院 常州 213022; 2.江苏省特种机器人技术重点实验室 常州 213022;3.常州市特种机器人与智能技术重点实验室 常州 213022

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TB533+.4

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Review of urban noise pollution and monitoring system
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1.Colleage of Internet of Things Engineering, Hohai University, Changzhou 213022, China; 2.Key Laboratory of Special Robotics of Jiangsu Province, Changzhou 213022, China; 3.Key Laboratory of Special Robots and Intelligent Technology of Changzhou, Changzhou 213022, China

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    摘要:

    噪声会导致一些短期和长期的健康问题,例如睡眠障碍、心血管效应、精神状态差、听力障碍等,进而影响人们的日常生活与工作。为了解、认识城市噪声污染来源、时空演化规律,研究人员及相关机构提出了相应的监测方法与监测系统,主要为在特定地点布置监测点,这种方法及系统存在局限性,即难以大范围的刻画城市的噪声时空分布规律。移动式监测系统操作方便,部署灵活,能够较好的改善监测效果。介绍并比较了目前常见的专用监测系统,基于WSN的监测系统以及基于智能手机的监测系统,并展望了移动式智能监测系统的发展方向。

    Abstract:

    Noise can lead to some shortterm and longterm health issues, such as sleep disorders, cardiovascular effects, poor mental state, hearing impairment, and thus affects people′s daily lives and work. In order to explore the sources of urban noise pollution, and the spatiotemporal chacteristics of urban noise pollution, researchers have developed various monitoring approaches and monitoring system, most of which are deployed in fixed sites. Therefore, these existing monitoring systems are difficult to chracterize in a large scale thespetiotemporal distribution of noise pollution in urban areas. In contrast, mobile monitoring systems can offer monitoring data with high spatial resolution. This article reviews the current common monitoring system, such as WSNbased monitoring system and smart phonebased monitoring system, and poionts out the future development of mobile monitoring systems.

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沈莘,刘小峰,向超胜.城市噪声污染及监测方法综述[J].电子测量技术,2017,40(11):201-207

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  • 在线发布日期: 2018-01-02
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