Research On Acoustic Information Acquisition And Sound Field Visualization Based On Intelligent Communication Terminal

Environmental acoustic information and location information is one of the important parts of ubiquitous information,which can be used in the research of sound field visualization.In recent years,acoustic field visualization research has become a hot topic in acoustic research.The research work cannot be separated from information collection.With the development of Internet and communication technology,information collection methods are more and more diversified.Due to the problems of long data acquisition time,limited data samples,difficult to carry,high price and high labor cost of professional information acquisition instruments,information acquisition technology has gradually developed from professional and authoritative to mass acquisition technology system.The organic combination of sound information and location information data makes people free from time and space constraints,and can collect information data at any position in the space at any time,which can be applied to monitoring,video conference,car whistle capture and other practical application scenarios.According to the characteristics of spatial location information,the research of sound field visualization can be divided into outdoor and indoor.The location information of outdoor sound field visualization research can be obtained by satellite navigation with full coverage.However,when pedestrians are in the building or enclosed space,the GPS signal is weak or even no signal.At this time,in order to obtain the current indoor space position state,it is necessary to describe the indoor motion trajectory.Based on the actual application requirements,this paper uses Android system to develop information collection platform.The function design of the application software includes the function design of sound information collection and location information collection.The development of the information collection software based on Android system lays the foundation for the research of sound field visualization and the realization of indoor location.For the sake of big data analysis value,a standard sound level meter can be set in these areas as a calibration point because the sound pressure level of the built-in sound sensor of the intelligent communication terminal has little fluctuation in a stable sound field,Through the data association between the intelligent communication terminal and the calibration point,the reliability of the sound pressure level data of the built-in sound sensor in the intelligent communication terminal can be improved.Firstly,the calibration value of professional acoustic sensor to the built-in acoustic sensor of intelligent communication terminal is calculated in the anechoic room with ideal acoustic environment.In order to further study the correctness of the calibration value,the above experimental steps are repeated from the ideal acoustic environment to the complex acoustic environment.The experimental results are consistent with the theoretical derivation.Research on outdoor sound field visualization based on spatial interpolation algorithm.Based on the position information data and sound information data collected by intelligent communication terminal equipment,three kinds of interpolation algorithms are compared and analyzed.The results show that different methods are sensitive to different scenes and application schemes.From the user's point of view,the positioning method has good robustness.Based on the research of indoor sound field visualization and pedestrian navigation positioning.Many researchers put forward various methods for the indoor GPS signal is weak,unable to locate the pedestrian location,but most of the positioning methods need to lay the base station in advance,the operation is cumbersome,so how to realize the indoor location simply and effectively is particularly important.The MEMS inertial device is fixed on the foot,and the pedestrian navigation algorithm is used to describe the indoor pedestrian trajectory,which is easy to operate,low cost and high autonomy.By setting different number of sound sources to collect the sound pressure level data at each position,the indoor sound field distribution map and pedestrian trajectory can be obtained after the inverse distance weight interpolation algorithm.