论文标题
一种用于智能城市应用程序的动力有效的音频采集系统
A Power-Efficient Audio Acquisition System for Smart City Applications
论文作者
论文摘要
声学对人类活动有不利影响。除了听力障碍和与压力有关的疾病外，它还可以干扰口语交流，降低人类绩效并影响生活质量。随着城市化的加剧，在智能城市环境中降低噪声污染的潜在好处是广泛的。可以使用无线传感器网络收集和分析噪声水平，该网络可以使用麦克风来监视噪声水平。但是，每个无线系统都在连续数据收集和监视所需的电池需求方面挣扎。在本文中，介绍了针对智能麦克风系统的测试床的设计。为了节省功率，微控制器和模数转换器（ADC）响应环境噪声，在高功率模式和低功率模式之间动态切换。具体而言，高功率组件是由声学水平的尖峰触发的。检查了三种无线技术，即WiFi（2.4 GHz），蓝牙低能（BLE）4.0和Zigbee。根据结果，基于测试床时闲置时，节点的功耗可以降低97％。
Acoustic noise has adverse effects on human activities. Aside from hearing impairment and stress-related illnesses, it can also interfere with spoken communication, reduce human performance and affect the quality of life. As urbanization is intensifying, the potential benefits of reducing noise pollution in smart-city environments are extensive. Noise levels can be collected and analyzed using a wireless sensor network which can monitor the noise level by using microphones. However, every wireless system struggles in terms of the battery requirements needed for continuous data collection and monitoring. In this paper, the design of a testbed for a smart microphone system is presented. To save power, a microcontroller and an Analog-to-Digital Converter (ADC) dynamically switch between high and low power modes in response to environmental noise. Specifically, the high powered components are triggered by a spike in the acoustic noise level. Three wireless technologies, WiFi (2.4 GHz), Bluetooth Low Energy (BLE) 4.0 and Zigbee were examined. According to the results, the power consumption of a node can be lowered by 97% when idle based on the testbed.
