首页> 外文会议>ASME International Mechanical Engineering Congress and Exposition >PARTICIPATORY NOISE MAPPING: HARNESSING THE POTENTIAL OF SMARTPHONES THROUGH THE DEVELOPMENT OF A DEDICATED CITIZEN-SCIENCE PLATFORM
【24h】

PARTICIPATORY NOISE MAPPING: HARNESSING THE POTENTIAL OF SMARTPHONES THROUGH THE DEVELOPMENT OF A DEDICATED CITIZEN-SCIENCE PLATFORM

机译:参与式噪声映射:通过开发专用公民 - 科学平台来利用智能手机的潜力

获取原文

摘要

This paper presents results of an ongoing project which aims to develop a purpose-built platform for using smart phones as alternative to sound level meters for citizen-science based environment noise assessment. In order to manage and control environmental noise effectively, the extent of the problem must first be quantified. Across the world, strategic noise maps are used to assess the impact of environmental noise in cities. Traditionally, these maps are developed using predictive techniques, but some authors have advocated the use of noise measurements to develop more reliable and robust noise maps. If adopted correctly, smartphones have the capability to revolutionize the manner in which environmental noise assessments are performed. The development of smartphone technology, and its impact on environmental noise studies, has recently begun to receive attention in the academic literature. Recent research has assessed the capability of existing smartphone applications (apps) to be utilized as an alternative low-cost solution to traditional noise monitoring. Results show that the accuracy of current noise measurement apps varies widely relative to pre-specified reference levels. The high degree of measurement variability associated with such apps renders their robustness questionable in their current state. Further work is required to assess how smartphones with mobile apps may be used in the field and what limitations may be associated with their use. To overcome the above issues, this project is developing a platform specifically for citizen science noise assessment. The platform consists of a smartphone app that acquires a sound signal and transfers the data to a server via a web based API for post processing purposes. This then returns key information to the user, as well as logging the data for use in a massive noise mapping study. The structure of the proposed platform maintains a clear separation between client (phone) and server. This approach will allow implementation of future open source client side apps for both Android and iOS operating systems.
机译:本文提出一种正在进行的项目旨在开发使用智能手机作为替代声级计基于公众科学环境噪音评估一个专用平台,其结果。为了有效地管理和控制环境噪声,该问题的程度必须首先进行量化。在世界范围内,战略噪声地图是用来评估环境噪声在城市的影响。传统上,这些地图是使用预测技术的发展,但一些学者主张用噪声测量的开发更可靠和稳定的噪声地图。如果采用正确的,智能手机有可能彻底改变其环境噪声评估进行的方式的能力。智能手机技术,及其对环境噪声的影响研究的发展,最近已开始得到重视学术文献。最近的研究已评估为被用来作为一种替代低成本的解决方案,以传统的噪声监视现有的智能手机的应用程序(应用程序)的能力。结果表明,电流噪声测量应用的精度广泛相对于预先规定的基准电平而变化。高度与此类应用相关联的测量的变异性使得它们的稳健性有问题的在其当前状态。需要进一步努力,以评估如何与移动应用程序的智能手机可以在现场使用,哪些限制可能与其使用有关。为了克服上述问题,该项目是专门开发一个平台,为公民科学噪音评估。该平台包括获取通过后处理目的的基于Web的API的声音信号和数据到服务器传输智能手机应用程序。这则返回键信息给用户,以及将数据记录在一个巨大的噪声地图研究使用。拟议平台的结构,维护客户端(电话)和服务器之间的明确分工。这种方法将允许执行两个Android和iOS操作系统的未来开源客户端应用程序。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号