TELKOM
NIKA Indonesia
n
Journal of
Electrical En
gineering
Vol.12, No.4, April 201
4, pp. 2875 ~ 2
8
8
1
DOI: http://dx.doi.org/10.11591/telkomni
ka.v12i4.4240
2875
Re
cei
v
ed Au
gust 10, 20
13
; Revi
sed O
c
t
ober 1
6
, 201
3; Acce
pted
No
vem
ber 2
2
,
2013
Process Model and Digitalization of the Coal Gas
Outburst Prevention
Hou Shao
-jie*
1,2,3
, Zhang
Yu-
w
e
i
1,4
, Cheng Yuan-ping
2
1
Computer C
e
nter, Hebe
i Uni
v
ersit
y
of Eco
n
o
mi
cs an
d Busi
ness, Xuefu R
oad 4
7
, Xi
nh
ua
District,
Shiji
azh
u
a
ng C
i
t
y
, He
bei Prov
i
n
ce, Chi
na 0
5
0
061, Ph.: +
86-182
33
103
20
2
2
Ke
y
L
abor
ator
y of Gas and F
i
re Contro
l for Coal Mi
nes, Mi
nistr
y
of Ed
uca
t
ion, Chi
na Un
i
v
ersit
y
of Min
i
n
g
&
T
e
chnol
og
y,
Da
xu
e Roa
d
1,
Quansha
n Dis
trict, Xuzho
u
Ci
t
y
, Jian
gsu Pro
v
ince, Ch
ina 2
211
16
3
Post-doctoral
Scientific Research Wo
rkstation, Shanxi Coking Coal Gro
up CO., L
T
D,
1th Block 1, Xinjinci
Roa
d
, W
anbol
i
n
District,
T
a
i
y
uan C
i
t
y
, Sha
n
x
i Prov
inc
e
, Ch
ina 0
3
0
024
4
Departme
n
t of Business, Shi
j
i
a
zhu
a
n
g
Vocat
i
on
al Co
lle
ge o
f
F
i
nance Eco
n
o
mics, Xu
efu R
oad 2
36,
Xi
nh
ua District,
Shiji
azhu
an
g Cit
y
,
He
ib
ei Pr
ovinc
e
, Chin
a 050
06
1
*Corres
p
o
ndi
n
g
author, e-ma
i
l
: shaoj
ho
u@1
63.com
A
b
st
r
a
ct
Regi
on
al coa
l
gas outb
u
rst preventi
on has
beco
m
e t
he pr
ereq
uisite of c
oal
min
i
n
g
in the most
Chin
a u
n
d
e
rgr
oun
d col
l
i
e
ries.
It touched
on
mi
ners
’
lives
s
o
clos
ely, but
espec
ial
l
y lack
ed of d
i
git
a
li
z
a
t
i
o
n
due
to th
e
host
ile
w
o
rking
e
n
v
i
ron
m
e
n
t, sig
h
t
l
ess strata
res
e
rves, co
mplic
ated
an
d l
o
n
g
-time w
o
rkflow
.
By
synthesi
z
i
ng t
h
e vital r
u
les
is
sued
by C
h
in
a
gover
n
m
ents
and v
a
rio
u
s te
chni
ques
of co
al g
a
s o
u
tburs
t
preve
n
tion,
w
e
pro
pose
d
a n
o
vel
proc
ess
mo
de
l for th
e
m
e
m
b
odi
ed
a
s
a
log
i
cal
w
o
rkflow
. T
he
mode
l
consiste
d of two oper
ation l
i
n
ks and tw
o jud
g
in
g nod
es
, an
d dea
lt w
i
th three types of dat
a. T
hen an eas
y-
use and
practical pr
ocess
dat
a manage
ment
software system
was developed.
By testing in
Qinan collier
y,
the system
was proved to
be
fully cons
id
ering user ex
perience a
nd helpful to prom
ote
digitali
z
a
tion of c
o
al
gas
o
u
tburst preve
n
tion. C
o
mpar
ed w
i
th
the traditi
on
al
ma
nag
e
m
e
n
t, the di
gital
i
z
a
t
i
on
might
hel
p
eng
ine
e
rs id
en
tify ano
mal
i
es
mor
e
qu
ickly a
nd avo
i
d g
a
s a
ccide
nts in time.
Ke
y
w
ords
:
di
g
i
tal min
e
, coal
gas outb
u
rst pr
event
i
on, proc
ess mo
de
l, data ma
na
ge
ment
Copy
right
©
2014 In
stitu
t
e o
f
Ad
van
ced
En
g
i
n
eerin
g and
Scien
ce. All
rig
h
t
s reser
ve
d
.
1. Introduc
tion
With the
u
n
d
e
rg
rou
nd
co
a
l
exploitation
extending
to
depth
ra
pidly in
Chin
a, hi
gh g
e
o
-
stre
ss, high
gas, hi
gh inh
o
moge
neo
us,
low pe
rm
e
a
b
ility and low coal m
a
ss
strength, na
m
e
ly
phen
omen
on
of three
hig
h
and t
w
o lo
w, ma
ke
s th
e problem
of coal
and
ga
s outb
u
rst ha
zard
become m
o
re and
more o
u
tstandi
ng. T
o
avoid tou
c
h
outbu
rst
coa
l
sea
m
cl
osel
y and elimi
n
a
t
e
gas
co
ntent, over the l
a
st
decade
s, a
serie
s
of
regio
nal ga
s p
r
e
-
d
r
aina
ge te
chn
i
que
s have
b
een
pre
s
ente
d
fro
m
a variety o
f
aspe
cts [1,
2], such a
s
g
r
oun
d bo
re
ho
les, alo
ng-se
am bo
reh
o
le
s,
cro
s
s-se
am
bore
hole
s
, g
ob pip
e
s, in
clination
road
way, etc. Fu
rther o
n
, ba
sed on
num
erous
fundame
n
tal
resea
r
ch and
widely practi
cal expe
rie
n
ces, several vi
tal rule
s are issued by
Chi
na
govern
m
ent
s:
“Coal
an
d G
a
s Outbu
r
st Prevention
Regulatio
ns” [3
], “Ga
s
Extra
c
tion P
r
ovisi
o
nal
Reg
u
lation
s f
o
r
Coal
Min
e
”
[4], “Coal
Mine Safety
Reg
u
lation
s”
[5], etc. Thro
ugh
nume
r
o
u
s
practice and sum
m
ary
over ten years in Chi
na
collieries, it has
been well
recognized
that
regio
nal
coal
gas outb
u
rst preve
n
tion i
s
on
e
spe
c
ial
indu
strial
proce
s
s [1, 6],
and i
s
o
b
viou
sly
different from
the pro
c
esse
s in other fiel
ds, embo
died
at least in four point
s as t
he followi
ng:
1)
Regi
onal
coal
gas o
u
tbu
r
st
preventio
n proc
e
s
s mu
st run for a
n
esp
e
cially lon
g
time,
often mo
re t
han
1 yea
r
,
even 2
-
3 ye
ars,
and
du
ri
ng the
pe
rio
d
, the
coal
mining
ha
s t
o
be
forbidd
en. So
the rational p
r
ocess ma
na
gement di
re
ctly facilitates coal pro
d
u
c
tio
n
efficien
cy;
2)
Although th
e
r
e exi
s
t dive
rsified
ga
s
c
ontrol m
e
a
s
u
r
es which h
a
s b
een
mai
n
ly
stand
ardi
ze
d
respe
c
tively, but it’s hard
to
synthesi
z
e them and
devel
op its
suppo
rt software
system b
e
ca
use of the l
o
w digital d
egree. No
w all
o
peratio
ns i
n
the process
such a
s
d
e
si
g
n
ing,
con
s
tru
c
tion,
manag
eme
n
t, etc, have
to
be im
pleme
n
ted ma
nuall
y
. Then ma
n-made
mista
k
es
happ
en inevit
ably, even lost some impo
rt
ant data;
3)
There a
r
e
se
veral pivotal v
a
lidation li
nks
in
the pro
c
e
s
s
to con
n
e
c
t adja
c
ent
p
r
o
c
ess
units. If the validation resu
lt is fail, then the c
oal ga
s outburst ha
zard ha
sn’t be
en eliminate
d
,
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ISSN: 23
02-4
046
TELKOM
NI
KA
Vol. 12, No. 4, April 2014: 2875 – 2
881
2876
and the pro
c
ess must ret
u
rn to the fro
n
t unit
and supply additio
nal mea
s
ures. So the
front unit
and validatio
n link form a l
oop which terminates u
n
til validating succee
ds;
4)
It must be po
inted out that
the pro
c
e
ss
manag
eme
n
t has
clo
s
ely related to mi
ner
lives, and any
mistake may lead to gas a
cci
dent
s.
With inform
ation tech
nolo
g
y
integrated i
n
to c
oal in
du
stry [7-14], m
any softwa
r
e
system
s
have sp
run
g
up in the last years [15]
, such a
s
Mi
cro
m
ine [16],
Minesig
ht32
D [17], Surp
ac
,
DataMine, AMSKAN, PENDM [18], etc
.
By them, coal
res
e
rves
c
a
lc
ulating,
produc
t
ion
planning,
material a
nd finan
cial man
ageme
n
t are
well supp
or
te
d [19, 20]. However, all the
y
have devoted
themselve
s
to coal p
r
od
uction system rather
than
co
al gas o
u
tburst preventio
n pra
c
tice.
Therefore, it
is n
e
cessa
r
y and
urgent
to
esta
blish the n
o
rm
ative and
goo
d-a
daptive
pro
c
e
ss m
o
d
e
l for coal g
a
s
outbu
rst p
r
evention and
control. Furth
e
r on, in orde
r to manag
e the
pro
c
e
s
s effectively, a sup
port
softwa
r
e
system
ba
sed o
n
the
no
vel model
was
develop
ed
, in
whi
c
h a
com
p
reh
e
n
s
ive d
a
ta stru
ctu
r
e
wa
s propo
se
d and th
e ke
y manage
me
nt function
was
impleme
n
ted
by several m
an-m
a
chine i
n
terfaces.
2. Process M
odeling for
Region
al Co
al Gas Outb
urst Prev
ention
Acco
rdi
ng to
“Co
a
l an
d Ga
s Outb
urst Preventi
on Reg
u
lation
s” [3], the indu
stri
al
pro
c
e
ss
of regi
onal
coal g
a
s
outb
u
rst
preventi
on mai
n
ly co
nsi
s
ts
of four se
que
ntial st
eps:
1)
predi
cting
coal
gas
out
burst dan
ger regio
nally; 2
)
implem
entin
g regi
onal
ga
s pre-drai
nag
e mea
s
u
r
e
s
; 3)
examining
co
al gas
outbu
rst da
nge
r re
gionally;
4) v
a
lidating the
resi
dual
ga
s pre
s
sure an
d
conte
n
t durin
g coal mini
ng
, as sho
w
n in
Figure 1.
Figure 1. Sch
e
matic Di
ag
ram of Regio
n
a
l
Coal G
a
s
Outburst Pre
v
ention Pro
c
e
s
s
In Figu
re 1, t
he first ste
p
i
s
a
de
cisi
on
node
used to
pre
d
ict
whet
her
co
al ma
ss in th
e
given re
gion
has g
a
s
outb
u
rst d
ang
er.
Whe
n
dan
ge
r exists, go to
the se
con
d
step, othe
rwi
s
e
dire
ctly turn
s to the fourt
h
step. In th
e se
co
nd
ste
p
, the suita
b
l
e
regi
onal
g
a
s p
r
e
-
draina
g
e
measures
wil
l
be implem
e
n
ted for a pl
anne
d long
ti
me. After that, regional
co
al gas
outbu
rst
dang
er is exa
m
ined in the third step. Li
king the fi
rst step, only pass the third steps succe
s
sfully
with con
c
lu
si
on “no g
a
s
o
u
tburst da
ng
er regio
na
lly”,
the fourth
st
ep can
start,
otherwise return
s
to the se
con
d
step
s an
d sup
p
ly additi
onal region
al
measure
s
u
n
til pass the
third ste
p
. In the
fourth ste
p
, accomp
anyin
g coal mi
nin
g
, the vali
dation of the re
sidu
al co
al g
a
s p
r
e
s
sure
and
resi
dual
coal
gas content
must
perfo
rm
at inte
rv
als o
f
a given
di
stance in
the
coal ma
ss.
When
dang
ero
u
s, must control gas pa
rtially
until
not
d
a
n
gero
u
s. F
o
r t
he fou
r
th ste
p
is
a pa
rticu
l
arly
node
that
e
x
presse
s an
other ind
u
strial p
r
o
c
e
s
s
of und
ergro
u
nd
coal
mini
ng that
is a
l
so
comp
re
hen
si
ve and com
p
l
e
x, and beyond the scope
of
region
al co
al gas outb
u
rst preventio
n, it
won’t be di
scussed in thi
s
pape
r.
3. Data S
t
ruc
t
ure Analy
s
is
As
same
a
s
t
he in
du
strial
pro
c
e
s
s in
va
riou
s field
s
such
a
s
el
ect
r
onics, p
e
tro
c
hemical
engin
eeri
ng a
nd me
chani
cal manufa
c
turing, etc, t
he pro
c
e
ss m
a
n
ageme
n
t of region
al co
al ga
s
Evaluation Warning : The document was created with Spire.PDF for Python.
TELKOM
NIKA
ISSN:
2302-4
046
Process Mod
e
l and Di
gitalization of the
Coal
G
a
s O
u
tburst Pre
v
ent
ion (Hou Sha
o
-jie
)
2877
outburst prevention mu
st deeply re
ly on the descri
p
tio
n
data pro
d
u
c
ed in the proce
s
s. Although
multifariou
s
g
a
s p
r
e-draina
ge mea
s
u
r
e
s
are different
in detail, but they mainly in
clud
e the three
kind
s of data,
defined a
s
follows:
T
y
p
e
1
:
Bas
i
c p
a
r
a
me
te
r
s
.
T
h
e
y
de
sc
r
i
be
c
o
a
l
r
e
s
e
r
v
es
, ga
s
occ
u
r
r
enc
es
, g
a
s
perm
eation
a
nd g
eolo
g
ic structu
r
e,
whi
c
h a
r
e
relati
vel
y
invariabl
e i
n
the
ra
nge
o
f
a
coal
minin
g
workin
g face
and u
s
ed a
s
the ba
sis of re
levant comp
u
t
ation;
Type 2:
Co
nstru
c
tion
p
a
ram
e
ters. T
hey co
ntain
the de
sig
n
i
ng an
d
con
s
tru
c
tion
para
m
eters o
f
coal
an
d
rock
roa
d
way,
wo
rking
face, drill
field,
variou
s
bore
hole
s
a
nd th
eir
spatial relatio
n
, all which make u
p
t
he infrast
r
u
c
ture of
gas pre-drai
nage;
Type 3: Gas
extraction
paramet
ers. The
y
reco
rd the
quantit
y of gas eliminatio
n
and a
r
e
comp
osed of
two asp
e
ct
s that are e
x
traction g
a
s in seale
d
p
i
pes a
nd wi
ndblo
w
n g
a
s in
roadway. By
the gas mo
ni
toring
system
installed in
most
China collieries, they
can be
gained
abun
dantly.
Becau
s
e
co
al
gas
outbu
rst
preventio
n p
r
ocess
i
s
con
t
inuou
s in vie
w
of time, am
ount of
Type 2 an
d Type 3 pa
ra
meters will fo
rm a nu
mbe
r
of dynamica
l
time seri
es.
In addition,
the
con
s
tru
c
tion
pro
c
e
s
s
i
s
al
so sp
atially
seque
ntial,
an
d
the Type 2
pa
ramete
rs will well refle
c
t
related
c
o
nstruc
tion ac
tivities
. In various
c
oal ga
s pre
-
d
r
ain
a
ge techni
qu
es, cross-se
am
boreholes constructed in
drill fields on side of floor ro
ck roadway, along
-seam borehol
e
s
c
o
ns
tr
uc
te
d in
co
a
l
r
o
ad
wa
y a
r
e w
i
ld
ly
u
s
ed
in Ch
in
a. Limits t
o
th
ese
two
ki
nd
s of bo
reh
o
le
s, we
establi
s
h d
a
ta stru
cture of coal g
a
s o
u
tb
urst p
r
eventio
n pro
c
e
ss a
s
sho
w
n in follo
wing Fig
u
re 2
.
Figure 2. Dat
a
Structu
r
e of
Regio
nal Co
al Gas O
u
tbu
r
st Preve
n
tion Process
As
a co
mp
le
x in
d
u
s
t
r
i
a
l
pr
oc
es
s
,
e
a
c
h
da
ta
item
i
n
Figure 2 is
com
posed of sev
e
ral sub-
items. For ex
ample, to elaborate
coal rese
rves
, a
c
cordin
g strata
modelin
g technolo
g
y [11], the
data item 1A need
contai
n a se
rie
s
of scatter point
th
at form the tri
angle n
e
two
r
k of 3D mo
d
e
l.
Each
point
re
cords a
point
identifier tha
t
will refe
r its sp
atial
coo
r
d
i
nate, an
d its type is defin
ed
as 0 o
r
1, in
whi
c
h 0 in
dicates lo
cating
on coal
seam
floor an
d 1
mean
s lying
on coal seam
roof.
The detail of other data item will be discussed in 4.1.
4. Dev
e
lopment of
the Da
ta Man
a
gem
e
nt Soft
w
a
r
e
Sy
stem
4.1. Data M
o
deling
Corre
s
p
ondin
g
to data
structure sho
w
n
in Fi
gu
re 2,
each data ite
m
is defin
ed
as o
n
e
entity; each sub-item i
s
def
ined a
s
a p
r
o
perty belo
n
g
s
to its father
entity. Furthe
r on, we
defi
n
e
the de
pen
de
nce
of
entitie
s a
s
rel
a
tion
s. In this
way, all item
s are
tran
sformed
into entitie
s
a
n
d
relation
s, na
mely E-R dia
g
ram
sho
w
n i
n
Figure 3.
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ISSN: 23
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TELKOM
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Vol. 12, No. 4, April 2014: 2875 – 2
881
2878
Figure 3. E-R Model of Re
gional
Coal
G
a
s Outb
urst Prevention Pro
c
e
s
s
In Figure 3, item 1A has b
een ela
borate
d
above, and
others are de
sc
ribe
d as foll
owin
g:
1)
Item 1B re
co
rds the
determined val
ue
by sc
ientific
rese
arch i
n
stit
ution at
sele
cted
positio
ns of the given coal
mass. The value co
n
s
ist
s
of position
co
ordin
a
te and
gas p
r
e
s
sure;
2)
Item 1C is u
s
ed to sto
r
e
the data of
gas pe
rme
abili
ty and embo
died a
s
a set
of
records, an
d each re
co
rd contain
s
temp
eratu
r
e,
pre
s
sure and
co
rresp
ondi
ng pe
rmea
bility value;
3)
Item 1D de
scribe
s geol
ogi
c structu
r
e
s
t
hat emerge i
n
the given coal ma
ss. Ba
sed
on 3D g
eog
ra
phic mo
del, they are save
d as a serie
s
of point coo
r
d
i
nates a
nd th
eir types;
Evaluation Warning : The document was created with Spire.PDF for Python.
TELKOM
NIKA
ISSN:
2302-4
046
Process Mod
e
l and Di
gitalization of the
Coal
G
a
s O
u
tburst Pre
v
ent
ion (Hou Sha
o
-jie
)
2879
4)
Items 2A, 2B, 2C, 2D a
n
d
2E are u
s
e
d
to
descri
be
spatial
stru
ct
ure of road
ways,
working faces, drill fields and bo
reholes, whose
data
consi
s
t of id
entifier,
name, descri
p
tion, key
points a
nd th
eir interse
c
tio
n
cha
r
a
c
teri
st
ics;
5)
Item 1F is a
particula
r entity used to
state the depen
dent relatio
n
s between e
n
tities,
including the relation bet
ween worki
n
g face with
roadways, roadway with
dri
ll fields, drill field
with bo
reh
o
l
e
s, working f
a
ce
with g
a
s extraction,
workin
g face
with ga
s
wi
ndblo
w
n, a
n
d
all
entities with points;
6)
Acco
rdi
ng
to coal ga
s
mon
i
toring syste
m
,
it
em 3A contain
s
identi
f
ier, flow qu
a
n
tity,
record time,
gas con
c
entration, tempe
r
ature
and
n
egative p
r
e
s
sure, an
d ite
m
3B
contai
ns
identifier, re
cord time, win
d
spe
ed an
d con
c
e
n
tration
.
4.2. Soft
w
a
r
e
Sy
stem and its Applica
t
ion
To sati
sfy the digital req
u
irement of co
al
gas
outb
u
rst preventio
n proc
e
s
s,
spe
c
if
i
c
t
o
t
he
establi
s
h
ed d
a
taba
se, a comprehe
nsiv
e mana
geme
n
t softwa
r
e system wa
s d
e
velope
d in the
integrate
d
e
n
v
ironme
n
t of
Visual Stu
d
io
.Net 2
010. I
n
this sy
stem
data i
nput,
maintena
nce
and
query fun
c
tio
n
s are imple
m
ented throu
gh seve
ral int
e
rfaces, in
clu
d
ing:
1)
B
a
sic d
a
t
a
;
2
)
R
o
ad
wa
y
c
o
ns
tr
uc
tio
n
;
3) Wo
rkin
g
face
mining;
4)
Drill field construction;
5
)
Bo
r
e
ho
le
co
ns
tr
uc
tio
n
;
6)
Extraction an
d wind
blown gas d
a
ta.
Whe
n
user l
ogge
d in the
softwa
r
e sy
stem, a main contai
ner
win
dow
with six
topmost
menu item
s
displ
a
yed a
s
sho
w
n in Fi
gure
4. By
clicki
ng the m
enu item
s, correspon
ding
sub
interface
coul
d a
c
tivate an
d emb
ed i
n
t
he
contai
n
e
r wind
ow.
In p
a
rticul
ar,
th
e compl
e
x
rel
a
tions
of entities wo
uld be ha
ndle
d
by compute
r
automati
c
all
y
.
To test the software
syste
m
, an applicati
on ca
se was given in
Qinan collie
ry, Anhu
i
provin
ce,
Chi
na. Sele
cted
area
i
s
lo
cat
ed in
the
No.716
wo
rking
face
with
si
ze of
983*
180
m
2
,
mining the No.7 coal sea
m
and lying at the third
seg
m
ent on right
flank of No.8
1 mining area
. In
there, the No
.7 coal seam
is the riskie
st out
burst seam, with an
average thi
c
kne
s
s of 2.64m,
averag
e incli
nation of 10 d
egre
e
s. It has been mea
s
u
r
ed that the g
a
s pressu
re i
s
3.5MPa at the
-550
m level,
and th
e g
a
s
conte
n
t is 12
.29-15.3
8
m
3
/t. Sinc
e 1997 there are
s
i
x times
of gas
power phe
no
menon
in all has
be
en re
corde
d
,
alo
ng
with the
outb
u
rst
of 17
1 to
ns
of coal
ro
cks
and 32,1
60m
3
of gas.
Before
coal
mining, the g
a
s h
a
s b
een
regi
o
nally pre-extra
c
ted
b
y
amount of
upward
cro
s
s-se
am
b
o
reh
o
le
s
com
b
ined
with
al
ong-se
am
bo
rehol
es.
Fo
r t
h
is, o
n
e
floor ro
ck
roa
d
wa
y,
39 drill field
s
,
2134 u
p
ward cross-se
am
bore
hole
s
a
nd 983
alon
g
-
se
am bo
re
h
o
les h
a
ve be
en
con
s
tru
c
ted. I
n
addition, th
e whol
e procedure laste
d
for over 2.6
y
ears that wa
s from Octo
be
r
,
2009 to
Ju
ne,
2012.
Du
ring
the long
pe
ri
od, abo
ut
fou
r
en
ginee
rs who di
rectly
se
rved the
proj
e
c
t
altered,
and t
here
were
m
o
re th
an 1
0
G
digital data
and ove
r
3
0
0
0
table
s
reco
rded.
Wh
ene
ver
need
que
ry o
r
an
alyze
so
me pa
ram
e
te
rs, d
a
ta ma
n
ager feel
s int
r
acta
ble, let a
l
one
con
c
lu
d
e
its
regul
arity and
diagno
se a
n
o
malie
s.
By adopting the studi
ed p
r
oce
s
s mod
e
l and its d
a
ta manag
eme
n
t softwa
r
e sy
stem, all
the en
gine
ers felt co
nvenie
n
t to ma
nag
e
and
mai
n
tain
the h
uge
nu
mber of p
a
ra
meters. With
its
help, man
-
m
ade mi
stakes signifi
cantly
redu
ced an
d
abno
rmal dat
a identification got ea
sier.
Here the follo
wing Fig
u
re 4
and Figu
re 5
sh
o
w
two re
pre
s
entative
operation inte
rface
s
.
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ISSN: 23
02-4
046
TELKOM
NI
KA
Vol. 12, No. 4, April 2014: 2875 – 2
881
2880
Figure 4. Roa
d
way Parame
ters Ma
nag
e
m
ent
Figure 5. Gas Extraction Param
e
ters
Manag
eme
n
t
5. Conclusio
n
With the un
d
e
rg
rou
nd coa
l
exploitation
ex
tending to
deep rapidly
,
coal ga
s o
u
tburst
preventio
n h
a
s
be
com
e
t
he p
r
e
r
eq
uisi
te of
coal
mi
ning. It tou
c
h
ed o
n
mi
ners’ lives
so
clo
s
ely,
but esp
e
ci
all
y
lacke
d of d
i
gital sup
p
o
r
t. Acco
rd
in
g to seve
ral st
rategic
rule
s i
s
sued by
Chi
n
a
govern
m
ent
s and rel
e
vant achi
evement
s gaine
d in
la
st decade
s, we propo
se
d a systemati
c
and
integrate
d
proce
s
s m
odel
expr
esse
d i
n
a
logi
cal
work flow.
T
he m
odel
co
nsi
s
ted
of t
w
o
operation lin
ks an
d two ju
d
g
ing no
de
s. The form
er
d
e
scrib
ed n
e
cessary o
p
e
r
at
ions to
elimin
ate
coal g
a
s, an
d
the later dete
r
mine
d wh
eth
e
r re
sid
ual ga
s re
se
rves
re
ach
ed the ex
pecte
d target
s.
Usi
ng
entity-relation m
odel
, the data
structure
wa
s
b
u
ilt whi
c
h
co
ntains thre
e
kind
s
of
para
m
eters d
e
fined a
s
ba
sic p
a
ramete
rs (Type
1
)
, con
s
tru
c
tion
para
m
eters (Type 2) an
d
gas
extraction
parameters (Typ
e 3). Type 1 i
s
rel
a
tive
ly invariable a
nd t
he othe
r two form
s a num
b
e
r
of time se
rie
s
. The
n
the
correspon
ding
data
ma
nag
ement softwa
r
e system wa
s
devel
ope
d,
in
whi
c
h a
co
mpre
hen
sive
E-R data
model
wa
s
built and tra
n
sformed
int
o
its ba
ckground
databa
se. Sp
ecific to the
d
a
taba
se, a set of m
an-m
a
chin
e interfa
c
es
con
s
iste
d
of one topmo
s
t
contai
ner
win
dow a
nd six s
ub-wind
ows wa
s
implem
e
n
ted.
At last, in Q
i
nan
collie
ry
that well
rep
r
es
ent regio
n
a
l co
al g
a
s outburst
p
r
ev
ention
measures in
Chin
a, we te
sted th
e software system.
Re
sult sh
own
it was fully
considering user
experie
nce a
nd can visual
ly, e
ffectively manag
e nu
mero
us
data.
Maybe the
a
c
hievem
ents
can
help to pro
m
ote the digital
manage
men
t
ability of c
oal exploitatio
n
, coal ga
s o
u
tburst preve
n
tion
and an
omalie
s identificatio
n.
Ackn
o
w
l
e
dg
ements
The finan
cial
sup
port by
Nation
al Nat
u
ral S
c
ien
c
e
s
Fou
ndatio
n
of China
(G
rant No.
5110
4052
),
Colle
ge Scie
ntific Re
sea
r
ch Proj
ect
s
i
n
Heb
e
i Prov
ince
(Grant No.Y20120
38
), and
Key Labo
rat
o
ry of Ga
s
and Fi
re
Co
ntrol for
Co
al Mine
s (China
University of Mining
&
Tech
nolo
g
y)
of Ministry of Educatio
n (G
FCKF2
0110
8
)
are d
eeply a
ppre
c
iate
d.
Referen
ces
[1]
Cheng YP, Fu
JH, Yu QX
. Deve
lo
pment of g
a
s extracti
on techn
o
lo
g
y
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oal min
e
s of Chin
a.
Journa
l
of min
i
n
g
& safety engi
ne
erin
g
. 2009; 2
6
(6): 127-
139.
[2]
W
u
XW
, Shu NQ, Li HT
, et al.
T
hermal Anal
ys
is in Gas Insulate
d T
r
ansmissi
on L
i
nes Usin
g a
n
Improved F
i
n
i
te-Elem
ent Mo
del.
T
E
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esi
an Jour
na
l
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ngi
neer
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;
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8-4
6
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stration
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rk Safet
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. N
o
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d g
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s out
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rst preve
n
tio
n
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latio
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rk
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e
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ublis
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ng h
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TELKOM
NIKA
ISSN:
2302-4
046
Process Mod
e
l and Di
gitalization of the
Coal
G
a
s O
u
tburst Pre
v
ent
ion (Hou Sha
o
-jie
)
2881
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control s
y
ste
m
.
Journal of
central south
university (s
cienc
e a
n
d
techno
lo
gy)
. 2012; 43(
1): 273
-277.
[19]
Duske
y MR.
Digita
l
contro
l
updat
es let old sh
ove
l
s gi
ve ne
w
mo
de
ls a run for their mo
ne
y.
Engi
neer
in
g an
d mi
ni
ng jo
urn
a
l
. 200
6; 207:
66-6
9
.
[20]
T
r
enczek S, W
a
sile
w
s
k
i
S.
I
nnov
ative
nes
s of
po
w
e
r s
upp
l
y
s
y
stems,
comp
uter tec
hno
log
i
es
an
d
automati
on
inv
o
lve
d
i
n
tech
n
o
lo
gi
ca
l pr
oces
ses of co
al m
i
n
i
ng.
Gas-
pod
ar
ka surow
c
a
m
i
mi
nera
l
ny
mi-
mi
nera
l
reso
ur
ces ma
na
ge
ment
. 200
8; 24: 89-1
02.
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