A system of far-field sound pressure prediction based on Hadoop

For larger distributed noise sources, such as plants, the sound pressure levels have to be controlled under the standard limits. Therefore, the far-field sound pressures are usually monitored. In this case, It is inconvenient to set the sensors in the far field. Cheng[1] presented a new method for monitoring far-field noise level with a few near-field sensors. This method employs the ideas of frequency response function measurement, and it first measures the response-response matrix from the neighboring sensors to microphones at the desired location under different operational conditions. In this solution, the huge data mass were got from the distributed sensor network for near-field monitoring and were processed. It brought together end-great storage and calculation of pressure, and the distributed acquisition and effective use of resources at the end of it.