基于云服务的环境噪声智能监测系统研究

Research on Intelligent Monitoring System for Environmental Noise Based on Cloud Service

为了能够让环境噪声监测与互联网技术深度融合,系统以云服务端为核心、以24位48 kHz高精度高速PCM1865为采集端、用Ubuntu Core物联网操作系统来传输数据。云服务端对数据进行存储和算法处理改进,主要包括环境噪声评价、窗函数选择和三分之一倍频程的实现。客户访问Web可查看声环境质量状况。通过软件仿真和实践应用,结果表明系统具有一定的研究价值和实用价值。系统最大程度地降低了成本,加快了计算能力,兼容性大幅度提升。

In order to make the depth integration of environmental noise monitoring and Internet technology, the system takes the cloud server as the core, with 24-bit 48 kHz high-precision high-speed PCM1865 as the acqui- sition end, and uses the Ubuntu Core IoT operating system to transmit data. Cloud server pefforms data storage and algorithm processing improvement, including environmental noise evaluation, window function selection and one-third octave realization. Customers access Web to view the acoustic environment quality status. Through soft- ware simulation and practical application, the results show that the system has certain research value and practi- cal value, which minimizes system cost, speeds up computing power, and greatly enhances compatibility.