Paper
18 July 2023 The design of embedded environmental noise real-time monitoring device
Author Affiliations +
Proceedings Volume 12744, Second International Conference on Advanced Manufacturing Technology and Manufacturing Systems (ICAMTMS 2023); 127442O (2023) https://doi.org/10.1117/12.2688879
Event: Second International Conference on Advanced Manufacturing Technology and Manufacturing Systems (ICAMTMS 2023), 2023, Nanjing, China
Abstract
An embedded real-time environmental noise monitoring device is designed for long-term monitoring of environmental noise and noise information processing. The STM32F407 is used as the processing core of the device. A microphone signal conditioning circuit is designed for signal amplification. The ADC embedded in the STM32 is used for signal acquisition. Simultaneously, a BeiDou GNSS module and a 5G module are integrated on the device, and these modules allow the device to upload noise location information, time information, and noise monitoring calculation results to a cloud server. The designed acquisition circuit's sensitivity is calibrated with a reference sound source. The findings of the tests indicate that the noise monitoring device that is designed has the capability to gather and analyze noise data in real-time while also satisfying the practical demands of environmental noise monitoring.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jiaxuan Chen, Wenjie Zhang, Zhenhua Chen, and Haitao Su "The design of embedded environmental noise real-time monitoring device", Proc. SPIE 12744, Second International Conference on Advanced Manufacturing Technology and Manufacturing Systems (ICAMTMS 2023), 127442O (18 July 2023); https://doi.org/10.1117/12.2688879
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Environmental monitoring

Design and modelling

Analog to digital converters

Power supplies

Sensors

Signal processing

Pollution

Back to Top