CPS: Frontier: SONYC: A Cyber-Physical System for Monitoring, Analysis and Mitigation of Urban Noise Pollution

该前沿奖支持SONYC项目，这是一个智能城市倡议，专注于开发用于监测、分析和缓解城市噪声污染的网络物理系统（CPS）。噪音污染是美国城市居民最关心的生活质量问题之一，它对健康、教育、经济和环境都有影响。然而，大多数城市缺乏持续监测噪音和了解单个来源的贡献的资源，缺乏分析城市范围内噪音污染模式的工具，也缺乏授权城市机构采取有效的数据驱动行动来缓解噪音的手段。SONYC项目推进了有助于满足这些需求的新技术和社会技术解决方案。SONYC包括一个由传感器和人员组成的分布式网络，用于大规模的噪声监测。该传感器采用低成本、低功耗技术和尖端的机器聆听技术，可以产生校准的声学测量结果，并实时识别单个声源。公民科学方法用于帮助城市居民与城市机构以及彼此联系，了解他们的噪音足迹，并促进报告和自我监管。至关重要的是，SONYC利用大数据解决方案来分析、检索和可视化来自传感器和市民的信息，创建一个全面的城市声学模型，可用于识别噪音污染的重要模式。这些数据反过来可以用来推动城市机构执行噪音法规的战略应用，以最佳方式减少噪音污染。整个系统集成了网络、物理和社会基础设施，形成了一个对环境持续感知、分析和驱动的闭环。SONYC是纽约大学和俄亥俄州立大学研究人员之间的跨学科合作项目。它为各级学生提供多种教育机会，包括K-12 STEM教育的外展倡议。该项目以纽约市为重点，与纽约市环境保护部、健康和心理卫生部、曼哈顿下城商业改善区以及世界环境声学领导者之一的ARUP合作。SONYC是网络物理系统在智慧城市领域的创新和高影响力应用，并有可能成为工程、数据科学和社会科学交叉领域新的CPS研究的催化剂。它为缓解噪音污染提供了一个蓝图，可以应用于美国和国外的城市，可能影响数百万人的生活质量。

This Frontier award supports the SONYC project, a smart cities initiative focused on developing a cyber-physical system (CPS) for the monitoring, analysis and mitigation of urban noise pollution. Noise pollution is one of the topmost quality of life issues for urban residents in the U.S. with proven effects on health, education, the economy, and the environment. Yet, most cities lack the resources for continuously monitoring noise and understanding the contribution of individual sources, the tools to analyze patterns of noise pollution at city-scale, and the means to empower city agencies to take effective, data-driven action for noise mitigation. The SONYC project advances novel technological and socio-technical solutions that help address these needs.SONYC includes a distributed network of both sensors and people for large-scale noise monitoring. The sensors use low-cost, low-power technology, and cutting-edge machine listening techniques, to produce calibrated acoustic measurements and recognizing individual sound sources in real time. Citizen science methods are used to help urban residents connect to city agencies and each other, understand their noise footprint, and facilitate reporting and self-regulation. Crucially, SONYC utilizes big data solutions to analyze, retrieve and visualize information from sensors and citizens, creating a comprehensive acoustic model of the city that can be used to identify significant patterns of noise pollution. This data can in turn be used to drive the strategic application of noise code enforcement by city agencies, in a way that optimally reduces noise pollution. The entire system, integrating cyber, physical and social infrastructure, forms a closed loop of continuous sensing, analysis and actuation on the environment. SONYC is an interdisciplinary collaboration between researchers at New York University and Ohio State University. It provides multiple educational opportunities to students at all levels, including an outreach initiative for K-12 STEM education. The project uses New York City as its focal point, involving partnerships with the city's Department of Environmental Protection, Department of Health and Mental Hygiene, the business improvement district of Lower Manhattan, and ARUP, one of the world's leaders in environmental acoustics. SONYC is an innovative and high-impact application of cyber-physical systems to the realm of smart cities, and potentially a catalyst for new CPS research at the intersection of engineering, data science and the social sciences. It provides a blueprint for the mitigation of noise pollution that can be applied to cities in the US and abroad, potentially affecting the quality of life of millions of people.