Acoustic noise monitoring for smart cities

智慧城市的声学噪声监测

• 批准号: 525893-2018
• 负责人: Spachos, Petros
• 金额: $ 1.75万
• 依托单位: University of Guelph
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=665676
• 关键词: Acoustic; noise; monitoring; smart; cities

Acoustic noise generated by human activities and machinery pollutes the urban environment and has a series of health effects.**Exposure to high levels of noise may cause annoyance, hypertension, disturbance of sleep patterns, and hearing impairment. In**contrast, lower levels of noise are associated with improved well-being and performance in the workplace. In addition, good, quiet**spaces are critical in hospitals and schools.**Conventional indoor noise measurements do not provide fine time resolution or high accuracy at low intensity, do not collect**spectral content, and do not scale for measuring multiple locations at the same time.**This project will develop a noise monitoring system based on autonomous sensor nodes. The system will be scalable and each**node will operate for at least one month without need for recharging. Human intervention will be required only to install and**eventually remove the nodes, while the collection of noise data will proceed autonomously. The data will be stored locally. When**required, the data will be transferred to a base station that will compile a database. A dedicated Android application will be**developed to display the noise map with intensity levels, spectral content, and time sequences. The accuracy and the time and**space granularity of the collected data will allow to control noise pollution more effectively, and realize more pleasant and safer**workplace environments, where well-being and productivity are upgraded, more comfortable classrooms, where learning is**enhanced, and quieter hospital units, where rest and recovery are protected).**.**Ontario

人类活动和机械产生的声学噪声污染城市环境，并对健康产生一系列影响。**暴露在高水平的噪声中可能会导致烦躁、高血压、睡眠模式紊乱和听力障碍。相比之下，较低的噪音水平与改善工作场所的幸福感和表现有关。此外，良好、安静的**空间对医院和学校至关重要。**传统的室内噪声测量在低强度时不能提供精细的时间分辨率或高精度，不能收集**频谱内容，并且不能同时测量多个位置。**本项目将开发基于自主传感器节点的噪声监测系统。该系统将是可扩展的，每个**节点将至少运行一个月而不需要充电。只需人工干预即可安装和**最终移除节点，而噪声数据的收集将自动进行。数据将存储在本地。当**需要时，数据将被传输到将编译数据库的基站。将**开发一款专门的Android应用程序，以显示包含强度级别、光谱内容和时间序列的噪声图。收集的数据的准确性和时间和**空间粒度将允许更有效地控制噪音污染，并实现更舒适和更安全的**工作环境，其中福祉和生产力得到提升，更舒适的教室，其中学习得到**加强，以及更安静的医院单位，其中休息和恢复受到保护)。**。