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会污染城市环境，并具有一系列的健康影响。与**对比，较低的噪声水平与工作场所的福祉和表现的改善有关。此外，在医院和学校中，良好，安静的空间至关重要。该系统将是可扩展的，每个**节点将至少运行一个月，而无需充电。只需要安装人类干预，并且**最终要删除节点，而噪声数据的收集将自主进行。数据将在本地存储。当需要**时，数据将转移到将编译数据库的基站。将开发专用的Android应用程序，以显示具有强度级别，光谱内容和时间序列的噪声图。收集到的数据的准确性，时间和**空间粒度将允许更有效地控制噪声污染，并实现更愉快，更安全的**工作场所环境，在这些环境中，升级幸福感和生产力的升级，更舒适的课堂，学习的舒适性**增强，并且更安静的医院单位，休息和恢复的地方受到保护。** ** ** ** **。