基于人工智能的智慧城市噪声监测系统设计  

Design of Intelligent City Noise Monitoring System Based on Artificial Intelligence

作　　者：高国强 GAO Guoqiang(Guizhou Siso Electronics Co.,Ltd.,Guiyang 5500081,China)

机构地区：[1]贵州思索电子有限公司,贵州贵阳550081

出　　处：《电声技术》2025年第2期26-28,共3页Audio Engineering

摘　　要：针对智慧城市噪声监测需求,提出一种基于人工智能的高效监测系统设计方案。该系统通过分布式传感网络采集信号,通过长距离广域网(Long Range Wide Area Network,LoRaWAN)传输数据,利用深度学习算法实现分类与预测。仿真实验结果显示,该系统的噪声分类准确率为98.8%,噪声预测准确率为96.3%,为城市噪声治理提供了有效的技术支持。Aiming at the demand of noise monitoring in smart cities,a design scheme of efficient monitoring system based on artificial intelligence is proposed.The system collects signals through distributed sensor network,transmits data through Long Range Wide Area Network(LoRaWAN),and uses deep learning algorithm to realize classification and prediction.The simulation results show that the accuracy of noise classification and noise prediction of the system is 98.8% and 96.3%,which provides effective technical support for urban noise control.

关 键 词：智慧城市 噪声监测 人工智能 

分 类 号：TP274[自动化与计算机技术—检测技术与自动化装置]