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基于Wi-Fi和LTE的地震勘探无线传感器系统

Seismic Exploration Wireless Sensor System Based on Wi-Fi and LTE.

作者信息

Yin Zhiyuan, Zhou Yan, Li Yongxin

机构信息

School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China.

出版信息

Sensors (Basel). 2020 Feb 13;20(4):1018. doi: 10.3390/s20041018.

DOI:10.3390/s20041018
PMID:32070013
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7070576/
Abstract

In present seismic exploration wireless sensor systems with large acquisition channels, it is difficult to achieve a high data rate, high reliability and long distance in wireless data transmission simultaneously. In this paper, a wireless seismic exploration system using a dual-layer network is proposed. The dual-layer network is designed based on Wi-Fi and LTE, so that long-distance high-rate seismic data transmission with a high reliability can be achieved. In the proposed system, the sensor array is composed of two kinds of nodes, the gateway node and the collecting node. Based on the proposed nodes, collecting node positioning, seismic data acquisition, seismic local data storage and quasi real-time remote seismic data transmission can be realized. Reliability mechanisms have been put forward to deal with the exceptions. An experiment was carried out to test the data transmission efficiency of the proposed system. The results show that the seismic exploration wireless sensor system with a dual-layer network structure can achieve quasi real-time remote seismic data transmission with no packet loss.

摘要

在目前具有大量采集通道的地震勘探无线传感器系统中,要在无线数据传输中同时实现高数据速率、高可靠性和远距离是困难的。本文提出了一种使用双层网络的无线地震勘探系统。该双层网络基于Wi-Fi和LTE设计,从而能够实现具有高可靠性的长距离高速率地震数据传输。在所提出的系统中,传感器阵列由两种节点组成,即网关节点和采集节点。基于所提出的节点,可以实现采集节点定位、地震数据采集、地震本地数据存储和准实时远程地震数据传输。已经提出了可靠性机制来处理异常情况。进行了一项实验来测试所提出系统的数据传输效率。结果表明,具有双层网络结构的地震勘探无线传感器系统能够实现无丢包的准实时远程地震数据传输。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ef9/7070576/42054704bc53/sensors-20-01018-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ef9/7070576/963f5a323a4a/sensors-20-01018-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ef9/7070576/035f1af9d6b9/sensors-20-01018-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ef9/7070576/ed07c8c3adc2/sensors-20-01018-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ef9/7070576/59361f13c62b/sensors-20-01018-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ef9/7070576/1104a3985aca/sensors-20-01018-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ef9/7070576/0f37d5cea379/sensors-20-01018-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ef9/7070576/09167030ecef/sensors-20-01018-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ef9/7070576/dc84e8d73e88/sensors-20-01018-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ef9/7070576/a01d1d388c38/sensors-20-01018-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ef9/7070576/42054704bc53/sensors-20-01018-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ef9/7070576/963f5a323a4a/sensors-20-01018-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ef9/7070576/035f1af9d6b9/sensors-20-01018-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ef9/7070576/ed07c8c3adc2/sensors-20-01018-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ef9/7070576/59361f13c62b/sensors-20-01018-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ef9/7070576/1104a3985aca/sensors-20-01018-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ef9/7070576/0f37d5cea379/sensors-20-01018-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ef9/7070576/09167030ecef/sensors-20-01018-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ef9/7070576/dc84e8d73e88/sensors-20-01018-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ef9/7070576/a01d1d388c38/sensors-20-01018-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3ef9/7070576/42054704bc53/sensors-20-01018-g010.jpg

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