Automatic Monitoring System on Embedded Platform for Environmental Noise Detection

Abstract:

A novel system based on embedded platform for environmental noise monitoring is presented in this paper. The system is designed by ARM and DSP to implement data collection and processing respectively, as a substitute for conventional MCU and DSP structure. The DSP is used as the core processor to implement a high precision IIR filter for 1/3 octave band spectral analysis in real time. The noise data detected beyond the reference value can be processed and stored automatically, and the noise pollution sources can be identified in time by the images captured by an USB camera on the terminal. Then the data and images acquired by the system will be transmitted to the sever computer through GPRS , and the users can obtain the real time noise data and pollution sources images when they explore the website of noise monitoring center. All the properties of 1/3 octave filters can meet the International Electrotechnical Commission Standard IEC61260-2001 class I. The system has the capability of high accuracy and stable performance at all time compared with the conventional system, indicating that it has great significance to the control of a city’s noise pollution condition.

• Periodical: Advanced Materials Research (Volumes 403-408)
• Pages: 1507-1510
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.403-408.1507
• Online since: November 2011
• Authors: Yi Xiao Wang, Ya Nan Li, Yi Wang, Xiao Dong Chen, Dao Yin Yu
• Keywords: 1/3 Octave Band, Embedded Platform, Noise Monitoring

References

[1] Q. Tan, X. Liu, X. Chen and D. Yu, Digital Environmental Noise Monitoring System Based on B/S Architecture and Floating-Point DSP, in proceedings of the 2009 2nd International Congress on Image and Signal Processing (CISP), (2009).

DOI: 10.1109/cisp.2009.5304705

[2] Electroacoustics – Sound level meters – Part 1: Specifications, IEC 61672-1-2002, (2002).

[3] Q. shen, Q. Yao, S. Chen, J. Tong and Y. Zhou: Design and Implementation of One-third Octave Filter Based on DSP for Sound Level Meter, Journal of Audio Engineering, July. 2008, vol. 32, pp.33-35. (In Chinese).

[4] S3C2440A RISC Microcontriller, Samsung Electronics, (2004).

[5] TMS320C6713B Floating-point Digital Signal Processor, Texas Instruments Co., (2006).