Research And Design Of High Accuracy Distributed Data Acquisition System Based On 3G Network

Data analysis plays an extremely important role in the current society,and the data acquisition system is the data source of data analysis.The precision and reliability of the data affect the successful implementation of the follow-up work.At present,there have been a large number of data acquisition systems on the market.But in terms of data collection of debris flow,these data acquisition systems can not meet the needs of communication mode and data security.A high accuracy and distributed data acquisition system based on 3G network is proposed in this thesis to meet the needs of data acquisition for debris flow.In this paper,the requirement of data collection system of debris flow data collection is analyzed firstly.And then the overall design scheme in combination with embedded technology and communication technology is put forward.In order to ensure the accuracy of the data acquisition system,a wavelet denoising algorithm is adopted.The Matlab software is used to test the proposed algorithm which is applied to the data acquisition system.In order to ensure the convenience and reliability of the communication,the 3G network is used as the communication mode.In order to ensure the distribution of the multi terminal distribution,the GPS module with a synchronization error of less than 20us is used to obtain the UTC clock as the synchronization time.24 bits of high-precision ADC chip ADS 1256 is used to achieve high precision original data acquisition.Through the concrete implementation of the scheme,the whole data acquisition system is designed.Infrasound sensor is used as input signal,the field data acquisition in the frequent occurrence area of debris flow landslide is realized.At present,the data acquisition system has been installed in the mountainous area of Chongqing,and the data collection is realized in the debris flow landslide disaster area.The data collection can work constantly for 24 hours without interruption,which satisfies the needs of disaster research and prediction.