工
化
No.1
矿
自
动
V01.44
第44卷第1期
2018年1月
Jan.2018
and Mine Automation
Industry
文章编号:1671—251X(2018)01—0099—05
DOI:10.13272/j.issn.1671—251X.2018.01.2017070022
基于矿山物联网的井下物资管理系统设计
赵端1’2”,
高彬1’2’3,
丁恩杰1’2’3,
董飞1’2”,
张帝1’2’3
(1.中国矿业大学信息与控制工程学院,江苏徐州 221116;
2.矿山互联网应用技术国家地方联合工程实验室,江苏徐州 221008;
221008)
3.中国矿业大学物联网(感知矿山)研究中心,江苏徐州
摘要:针对井下物资管理混乱、物资消耗信息录入延迟且不准确、劳动力浪费等问题,设计了一套基于矿
山物联网的井下物资管理系统,给出了该系统的物联网架构,阐述了该系统功能模块的设计。该系统利用有
源RFID标签与智能手持终端从现场环境获取井下物资信息,并通过WiFi网关将数据上传到数据服务器
中,服务器将数据处理后转存到数据库中,通过Web技术访问、处理并显示数据,从而实现对井下物资生命
周期的实时监测与管理。
关键词:矿山物联网;物资管理;有源RFID;智能手持终端;WiFi
14:13
中图分类号:TD67
文献标志码:A
网络出版时间:2017—12—25
网络出版地址:http://kns.cnki.net/kcms/detail/32.1627.TP.20171225.0909.004.html
of
material
based on mine Internet of
management system
Design
underground
things
ZHAODuanl· 2一, ZHANGDil· 2· 3
GAOBinl'2一,DING
Feil· 2一,
Enjiel,2一,DONG
of
and
Technology
(1.School of Information and Control
Engineering,China University
Mining
National and Local
Joint
Engineering Laboratory
of Internet
Xuzhou 221
1
16,China;2.The
of
Mine,Xuzhou 221008,China;3.Internet
Mine)
Things(Perception
Technology
of
and
Technology,Xuzhou
Research Center,China
221008,China)
University
Mining
of disordered
material
and
Abstract:In order to solve
problems
underground
management,delayed
and wasted
material
inaccurate information of material
labour,an
of
consumption
underground
management
was
of
was
architecture of the
system
things
based
mine Internet
things
designed.Internet
system
given
from
of the
was described.Material information collected
system
and function module
design
is obtained
to
active RFID and
tag
handheld
intelligent terminal,and uploaded
environment
working
by
in the
database,and
sever
WiFi
data is in the server and stored
processed
data
through
gateway.The
data is
and
Web
by
technology.Therefore,real—time monitoring
processed
accessed,processed
displayed
be achieved.
of life
of
underground
material can
and
management
cycle
handheld
words:mine Internet of
terminal;
things;material management;active RFID;intelligent
Key
WiFi
收稿日期:2017-07—09;修回日期:2017—12-11;责任编辑:盛男。
基金项目:江苏省产学研联合创新资金前瞻性联合研究资助项目(BY2015023—04);江苏省研究生培养创新工程项目(KYLX一1385)。
作者简介:高彬(1992),男,安徽萧县人,硕士研究生,主要研究方向为大数据与人体姿态识别,E—mail:cumt—bingao@163.corn。
引用格式:高彬,丁恩杰,董飞,等.基于矿山物联网的井下物资管理系统设计EJ].工矿自动化,2018,44(1):99—103.
mine Internet of
Enjie,DONG
of
material based on
management system
things[JJ
GAOBin,DING
Fei,et a1.Design
underground
andMine Automation,2018,44(1):99—103.
Industry
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