Urban Environmental Sound Monitoring Network Based on Combination of Mobile and Stationary Nodes

Abstract

Urban noise has posed a threat to people's physical and mental health. Significant progress has been made in noise monitoring related projects at home and abroad, but these projects usually utilize stationary monitoring equipment to measure noise whose deployment is susceptible to the cost and complex urban environment and thus they cannot effectively cover the monitored area. In this paper, a kind of joint mobile and stationary nodes based urban environmental sound monitoring network is proposed to achieve low-cost, high-precision, and high-flexibility noise monitoring. The network adopts NETTY framework, which effectively alleviates the impact of high concurrency on server performance in the context of large-scale sensor nodes. In addition, this paper designs a visual monitoring platform for the display of noise distribution and abnormal sound events. In order to verify the performance of the system, 10 mobile nodes and 50 stationary nodes are deployed in the campus environment. The experimental results show that the proposed system can realize urban environmental noise monitoring with high performance in real scenes.