Automatic Monitoring System on Embedded Platform for Environmental Noise Detection
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.