Safety monitoring system based on internet of things tailings dam

Author:

Li Xiaowen1,Li Jianwei2,Liu Cheng3,Chen Chuanbin3

Affiliation:

1. College of Mathematics and Information Engineering, Longyan University, Fujian, China

2. College of Physics and Information Engineering, Fuzhou University, Fujian, China

3. Shuikou Power Generation Group Co., Ltd, Fujian, China

Abstract

The tailings dam safety monitoring system is a system that plays an important role in disaster prevention and reduction. This paper divides the whole network of mine dam safety monitoring systems into two parts, that is, the basic wireless network and GPRS network from the gateway to the monitoring center. First, it’s the hardware of the design module, the network is divided into uplink communication and downlink communication, uplink communication is to upload the dam data collected by the terminal node to the gateway through the network. Downlink communication is the instruction sent by the gateway to the monitoring center, send to terminal nodes through data conversion between protocols. Secondly, the gateway also needs to solve the data conversion between the network and GPRS network protocol, so that the entire security monitoring system can communicate accurately. The communication between gateway and monitoring center is realized through the GPRS network, this requires adding the GPRS communication module to the gateway module. To increase the diversity of communications, communication between GSM short message communication methods and monitoring centers has also increased. The experimental results prove that the system in this paper can be applied to the mine dam safety monitoring system, meet the design requirements.

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference10 articles.

1. Genome sequence of the acid-tolerant Desulfovibrio sp. DV isolated from the sediments of a Pb-Zn mine tailings dam in the Chita region;Kovaliova;Russia. Genomics Data,2017

2. A relationship-based and object-oriented software for monitoring management during geotechnical excavation;Wang;Advances in Engineering Software,2014

3. Automatic monitoring system for the safety of earth-rockfill dams based on the Internet of Things;Gan-wu;Yantu Gongcheng Xuebao/Chinese Journal of Geotechnical Engineering,2014

4. Research on tailings pond online safety monitoring system based on zigbee sensor network;Zhang;Applied Mechanics and Materials,2014

5. Numerical analysis and geophysical monitoring for stability assessment of the Northwest tailings dam at Westwood Mine;Yaya;International Journal of Mining Science and Technology,2017

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3