Intern
ati
o
n
a
l
Journ
a
l of
Re
con
f
igur
able
and Embe
dded
Sys
t
ems
(I
JRES)
V
o
l. 4,
N
o
.
2
,
Ju
ly 20
15
, pp
. 55
~62
I
S
SN
: 208
9-4
8
6
4
55
Jo
urn
a
l
h
o
me
pa
ge
: h
ttp
://iaesjo
u
r
na
l.com/
o
n
lin
e/ind
e
x.ph
p
/
IJRES
Design and Implementation of
Multichannel Data Acquisition
and Processing (DAQP)
System Using LabVIEW
Dhru
va R. Ri
nku
*, Gun
du Srinath
*
*
* Dept. of
ECE,
CVR Colleg
e
of
Engg,
TG, I
ndia
** Embedded
Sy
stems, CVR Co
lleg
e
of
Engg, TG, India
Article Info
A
B
STRAC
T
Article histo
r
y:
Received Dec 2, 2014
Rev
i
sed
Mar
19
, 20
15
Accepted Apr 12, 2015
The data acquisition and pro
cessing ar
ch
itectur
e
covers the most
demanding
appli
cat
ions of continuousm
onit
o
ring in industr
ial fi
eld
.
The m
u
ltich
a
nnel
data acquisition is essen
tial for acquiring and monitoring th
e various signals
from industrial
sensors. The pr
oblem is
that th
e data storage
and hardware
size,
so the
m
u
lt
ichann
el d
a
ta
ob
tain
ed is pro
cessed at
runtim
e
an
d stored in
an extern
al stor
age for future r
e
fe
ren
c
e. The
method of implementing the
proposed design is b
y
using th
e ARM Cortex M-3 Processor to reduce
the
hardware size.
The Cortex M-3
attains
high r
e
solution. A Ei
ght channel
data
acquisit
i
on proc
essing (DAQP) and C
ontrollin
g was designed, develop
e
d
using the Lab V
I
EW graphical progr
amming. The module was designed in
order to provid
e
high ac
cura
c
y
, s
t
orage
and port
a
bilit
y.
Th
e s
y
st
e
m
designed
is not specific
for an
y
sensor acqui
sition, so
an
y
s
e
nsor having signal
condition
i
ng cir
c
uit built can b
e
connected
to the DAQ (Data Acquisition
S
y
s
t
em
). ARM
c
ontrolle
r is
us
ed
as
hear
t of
th
e D
AQ.
Keyword:
Co
rtex M-3
Data acqu
i
sition
an
d pro
cessi
n
g
Data sto
r
age
Mu
ltich
a
nn
el
Copyright ©
201
5 Institut
e
o
f
Ad
vanced
Engin
eer
ing and S
c
i
e
nce.
All rights re
se
rve
d
.
Co
rresp
ond
i
ng
Autho
r
:
Dhruv
a
R. Rink
u,
A
s
so
c.
Pro
f
esso
r, Dep
t
. of
EC
E, CV
R
Co
llege of
En
gg
, TG
, In
d
i
a.
Em
a
il: rin
k
udhruv
a.rav
i
@g
m
a
il.co
m
1.
INTRODUCTION
The purpose of
a DAQ
system
is
to m
easure a
physical phe
nom
e
non
s
u
ch as light, t
e
m
p
erature,
p
r
essure,
or sou
n
d
.
A
DAQ syste
m
in
clu
d
e
s th
e
fo
ll
o
w
i
n
g bu
ild
ing
b
l
o
c
k
s
tran
sdu
cer,
sig
n
a
l con
d
ition
i
ng,
DA
Q de
vi
ce,
dri
v
er l
e
vel
a
nd a
ppl
i
cat
i
o
n
l
e
vel
soft
wa
r
e
.
W
i
t
h
t
h
ese
bui
l
d
i
ng
bl
oc
k
s
, y
ou ca
n b
r
i
ng t
h
e
phy
si
cal
phe
n
o
m
enon
y
o
u
wa
nt
t
o
m
easure
i
n
t
o
t
h
e c
o
m
put
er f
o
r a
n
al
y
s
i
s
and
p
r
ese
n
t
a
t
i
o
n.
Data acquisition system
s (DAQ) a
r
e
devices
or softwa
re
c
o
m
ponents
use
d
to co
llect inform
ation in
o
r
d
e
r to
m
o
n
ito
r or an
alyze ph
eno
m
en
o
n
. As electro
n
i
c
tech
no
log
y
adv
a
nces, th
e d
a
ta acq
u
i
sition
p
r
o
c
ess h
a
s
becom
e
accura
te, versatile, and
reliable. Ty
pically, data
a
c
quisition de
vi
ces interfac
e
to va
rious se
nsors t
h
at
sp
ecify th
e ph
en
o
m
en
on
und
er con
s
id
eration. Mo
st d
a
ta
acq
u
i
sition
system
s
o
b
t
ain
d
a
ta fro
m
d
i
fferen
t
k
i
nd
s
of t
r
a
n
s
duce
r
s
t
h
at
pr
od
uce a
n
al
o
g
si
g
n
al
s.
M
a
ny
appl
i
cat
i
ons re
q
u
i
r
e di
gi
t
a
l
si
gnal
pr
ocessi
n
g
. T
h
e
r
efo
r
e,
analog signals are converte
d to
a d
i
g
ital f
o
rm
v
i
a an
an
alo
g
to
d
i
g
ital co
nv
erter (ADC) to
b
e
processed
.
Sim
u
ltaneous
m
u
lti-channe
l DAQs are
e
m
ployed in nu
m
e
rous
applications such as environm
ental
measurem
ents and m
e
dical diagnosis.
Mu
lti-ch
ann
e
l
d
a
ta acqu
i
sitio
n
(DAQ) is a cru
c
ial co
m
p
onen
t
in
d
i
g
ital in
stru
m
e
n
t
atio
n
an
d con
t
ro
l.
It typically involves t
h
e sam
p
ling of m
u
ltiple analog signal
s, and converti
ng
t
h
em
into digital form
ats s
o
that
t
h
ey
can be
proce
ssed ei
t
h
er o
n
-
b
oar
d
or ext
e
r
n
ally. In either case, DAQ s
y
ste
m
s a
l
so involve
micro
p
r
o
cessors, m
i
cro
c
on
tro
llers,
d
i
g
ital sig
n
a
l
p
r
o
cessin
g
,
and
storag
e d
e
v
i
ces. M
u
lti-ch
an
n
e
l
DAQs,
wh
ich
u
tilize so
m
e
so
rt o
f
pro
cessing
for si
m
u
l
t
an
eo
us
inp
u
t
ch
ann
e
ls,
are n
e
ed
ed
in
in
du
strial p
a
rameters
m
oni
t
o
ri
ng
sy
s
t
em
s.
In
th
is Pro
j
ect, a lo
w cost m
u
lti-ch
ann
e
l an
alo
g
si
gn
al acquisitio
n
and
processin
g
(ASAP) syste
m
is
p
r
esen
ted. Th
e
m
u
lti-ch
an
n
e
l an
alog
sig
n
al acq
u
i
sition
syste
m
is
u
s
ed
to
acq
u
i
re
m
u
lti-ch
ann
e
l an
alog
sig
n
a
ls
Evaluation Warning : The document was created with Spire.PDF for Python.
I
S
SN
:
2
089
-48
64
IJR
E
S V
o
l
.
4, No
. 2,
J
u
l
y
20
1
5
:
5
5
– 62
56
and t
h
en
pr
oce
ssed a
nd c
ont
r
o
l
l
e
d by
t
h
e m
i
croc
ont
r
o
l
l
e
r.
I
n
i
n
dust
r
i
a
l
da
t
a
acqui
si
t
i
on
and al
s
o
i
n
ca
se of
hom
e heal
t
h
care de
vi
ces, st
ora
g
e i
s
l
i
m
i
t
e
d an
d p
o
w
er c
ons
um
pt
i
on n
e
ed t
o
be m
i
ni
m
u
m
.
Therefo
r
e, fi
xe
d
sam
p
lin
g
rate is n
o
t
th
e
op
timal so
lu
tio
n
fo
r m
u
lti-ch
a
nnel d
a
ta acq
u
i
sit
i
o
n
.
Hen
ce,
h
e
terog
e
n
e
ou
s sam
p
l
i
n
g
rates are id
en
tified
fo
r each
ch
ann
e
l, an
d
o
p
ti
mized
fo
r b
e
st d
a
ta q
u
a
lity with
m
i
n
i
mal
sto
r
ag
e req
u
i
remen
t
an
d pow
er consu
m
p
tio
n
.
Th
e
fid
e
lity of th
e ASAP syste
m
is in
creased
b
y
u
s
ing reco
nfigu
r
ab
l
e
ch
ip techno
lo
g
y
, wh
ere
flex
ib
ility, co
ncu
r
ren
c
y an
d
reco
nfigu
r
ati
o
n
can
b
e
ach
i
ev
ed
in
h
a
rdware.
Th
is in
turn
d
e
creases th
e size, the
po
we
r co
ns
um
pt
i
o
n
,
an
d t
h
e
cost
o
f
t
h
e s
y
st
em
. I
m
pl
em
ent
a
t
i
on o
f
t
h
e desi
g
n
i
n
C
o
rt
ex M
-
3
br
i
ngs t
h
e
syste
m
energy
efficient, re
duc
t
i
on
of
si
ze a
n
d
l
o
w
co
st
.
2.
LITERATU
R
E
SU
RVE
Y
The
ARM C
o
rt
ex M-3 allows
the inte
gration
of m
u
ltiple
com
ponents on
a
single
c
h
ip. In addition,
it
can
h
a
v
e
all t
h
e acqu
i
ring
,
p
r
o
cessi
n
g
, con
t
ro
llin
g
,
input–
o
u
t
pu
t cap
abilit
ies th
at are
n
eed
ed
b
y
a D
A
Q
syste
m
.
In s
o
m
e
cases
t
h
e devel
opm
ent
of a wi
rel
e
s
s
senso
r
M
i
cro
s
y
s
t
e
m
s
cont
ai
ni
n
g
al
l
t
h
e com
ponent
s o
f
d
a
ta acq
u
i
sition
syste
m
, su
ch
as sen
s
o
r
s,
sig
n
a
l-con
d
ition
i
ng
circu
its,
an
alog
-d
ig
ital co
nv
erter, emb
e
dd
ed
m
i
croco
n
t
r
ol
l
e
r (M
C
U
), a
n
d
R
F
com
m
uni
cat
i
on m
odul
es
has
becom
e
n
o
w t
h
e f
o
c
u
s
of at
t
e
nt
i
o
n i
n
m
a
ny
i
n
d
u
st
ri
al
an
d
bi
om
edi
cal
appl
i
cat
i
ons
[4]
.
Thi
s
pape
r
di
scusses i
n
n
o
v
at
i
on ci
rcui
t
s
a
n
d
sy
st
em
t
echni
que
s
f
o
r
buildi
ng a
dva
nced sm
art
industrial
devices.
Low powe
r cons
um
ption a
n
d high relia
bility are am
ong the
m
a
in
cri
t
e
ri
a t
h
at
m
u
st
be gi
ven
pr
i
o
ri
t
y
whe
n
de
si
gni
ng s
u
ch
w
i
rel
e
ssl
y
powe
r
ed M
i
crosy
s
t
e
m
s
. Even t
hou
gh t
h
i
s
sy
st
em
i
s
hi
ghl
y
wi
rel
e
ss
base
d a
n
d
i
n
a
d
van
ced a
ppl
i
cat
i
o
n
s
i
n
i
n
d
u
st
ri
al
a
n
d
bi
om
edi
cal
fi
el
d.
The sy
st
em
i
s
desi
g
n
e
d
i
n
a m
odul
ar m
a
nner. Each
har
d
w
a
re
m
odul
e ca
n o
p
erat
e as an
i
ndepe
n
d
ent
gai
n
p
r
og
ram
m
a
bl
e, l
e
vel
shi
f
t
ad
just
a
b
l
e
,
16
-cha
n
n
el
da
t
a
acqui
si
t
i
on
sy
st
em
speci
fi
c t
o
a senso
r
t
y
pe [6]
.
Up t
o
ei
g
h
t
su
ch dat
a
acq
ui
si
t
i
on
m
odul
es
can be co
nn
ec
t
e
d t
o
t
h
e host
PC
t
o
real
i
z
e t
h
e whol
e sy
st
em
har
d
ware. The
cont
rol
of da
t
a
acqui
si
t
i
on and
t
h
e
s
ubs
e
que
nt
m
a
nage
m
e
nt
of
dat
a
i
s
per
f
o
r
m
e
d by
t
h
e
sy
stem
’s softw
a
re w
h
ich is c
ode
d in
Lab
V
I
E
W
.
In
the
ca
se of i
n
put signals with
d
i
fferen
t b
a
ndwid
ths,
the
h
a
rdware real-t
i
m
e ad
ap
tiv
e sa
m
p
lin
g
is th
e b
e
st way to
o
p
ti
mize th
e ADC sa
m
p
lin
g
rate. Mean
wh
ile, it also
redu
ces th
e
overall sam
p
lin
g
rate that is req
u
i
red,
wh
ic
h
lead
s to th
e red
u
c
tion of t
h
e co
st
of th
e req
u
i
red
ADC
wi
t
h
a l
a
r
g
e
num
ber
of
c
h
an
nel
s
,
pa
rt
i
c
ul
arl
y
i
n
hi
g
h
-
f
r
eq
ue
ncy
i
n
put
s.
3.
DAT
A AC
QU
ISITIO
N AN
D
P
R
O
C
ESSI
NG (D
AQ
P)
MO
DULE
A.
Multicha
nnel Inputs
Th
e sensor
s or
tr
an
sd
u
c
er
s used
to
m
easu
r
e th
e no
n-
electrical signals as el
ectrical signals. Ge
nerally
i
n
i
n
d
u
st
ri
al
a
ppl
i
cat
i
o
ns t
h
e
sens
ors a
r
e
us
ed i
n
vari
ou
s t
y
pe t
o
m
easur
e het
e
r
oge
ne
o
u
sp
aram
et
ers such a
s
p
r
essure, tem
p
eratu
r
e, lev
e
l, v
e
lo
city, v
i
sco
s
ity, fric
t
i
o
n
and
vi
b
r
at
i
o
ns
et
c., In m
e
di
cal
appl
i
cat
i
o
n
s
by
measuring the electrical signals produ
ced by
the hum
an body such as EC
G, EE
G,EM
G and etc., since
they
are th
e sign
als
wh
ich
are in analo
g
it sho
u
l
d
b
e
co
nv
erted
i
n
to
d
i
g
ital.
These si
gnal
s
are t
y
pi
cal
l
y
wave
f
o
rm
s as si
ne wa
ve
or
s
a
w t
o
ot
h
wa
ve
or c
o
si
ne wa
ve.
Wi
rel
e
ss
d
a
ta acq
u
i
sition
system
co
n
s
ists o
f
two
p
a
rts, t
h
e
p
a
rt
of th
e
d
a
ta acqu
i
sitio
n
and
t
h
e
p
a
rt
of t
h
e d
a
ta
processi
ng in t
h
e host com
puter. The
da
ta acquisition pa
rt of the sensor circ
uit is responsi
ble for receivi
ng the
ex
tern
al m
u
lti
ch
ann
e
l si
g
n
a
ls.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
J
RES I
S
SN
:
208
8-8
7
0
8
Design
an
d Imp
l
emen
ta
tion
of Mu
ltich
ann
el
Da
t
a
Acqu
isitio
n and
Pro
cessin
g
(DAQP)
…
(
D
hruv
a R. Ri
nku)
57
Fi
gu
re 1.
B
l
oc
k Di
ag
ram
DAQ
has
AR
M Cortex M3 as a core c
o
ntroller.
Com
pute
r
along with GUI
(Gra
phical
User
Interface)
base
d software for displayi
ng acquire
d data by soft
ware tool
LabVIE
W
from
National Instruments
Inc
.
B.
H
o
st
I
n
t
e
rf
a
c
e Mo
d
u
l
e
Gen
e
rally DAQ Fun
c
tion
is to
acq
u
i
re th
e d
a
ta an
d
co
nvert it
to
th
e u
s
ab
le form
at
an
d
th
is u
s
es
ARM Cortex
series pro
cesso
r for t
h
e acq
u
i
sitio
n
and
co
n
v
ersion
task
s.The sign
al will un
d
e
rg
o a
p
r
o
c
ess
of
AD c
o
nve
rsi
o
n
t
h
ro
u
gh t
h
e p
e
ri
p
h
eral
s o
f
t
h
e
m
i
cropr
ocess
o
r L
P
C
1
76
8,
whi
c
h ha
ve a
12
-
b
i
t
hi
gh
-re
s
o
l
u
t
i
o
n
ADC.
Si
gnal
c
o
n
d
i
t
i
oni
ng
o
f
t
h
e s
e
ns
or si
gnal
s
a
r
e t
o
be car
ri
ed o
u
t
be
f
o
re i
t
coul
d be c
o
n
n
ect
ed t
o
t
h
e
sy
st
em
. C
o
m
put
er m
a
ni
pul
at
es t
h
e dat
a
as wel
l
as st
ores
val
u
es i
n
a
n
E
x
cel
fi
l
e
, t
hus i
t
al
so does f
u
n
c
t
i
on o
f
dat
a
l
o
ggi
n
g
.
C.
AR
M C
o
rte
x
M-
3
This proce
ssor
is a low-powe
r process
o
r that
featur
es lo
w
g
a
te co
un
t, lo
w i
n
terrup
t laten
c
y, an
d
low-
cost
de
bu
g.
It
i
s
i
n
t
e
nde
d f
o
r
deepl
y
em
bedde
d a
ppl
i
cat
i
ons t
h
at
req
u
i
r
e fast
i
n
t
e
rr
up
t
resp
onse
,
i
n
c
l
udi
n
g
micro
c
on
tro
llers and
au
to
m
o
tiv
e and
ind
u
strial co
n
t
ro
l sy
ste
m
s. In the industrial field, the use
r
requi
r
es a
fast
er s
p
ee
d i
n
t
e
rr
upt
,
s
o
C
o
rt
ex-M
3 i
s
best
s
u
i
t
e
d.
Em
bedded c
o
n
t
rol fo
rm
s a large
part o
f
the
m
a
rk
et for m
i
croprocess
o
rs.
The em
bedde
d controller
m
a
rket
has t
r
a
d
i
t
i
onal
l
y
foc
u
sed
on
8
-
bi
t
m
i
cropr
ocess
o
rs,
but
t
h
e g
r
owi
ng c
o
m
p
l
e
xi
t
y
of m
a
ny
cont
rol
requ
irem
en
ts in
so
ph
isticat
ed
pr
o
d
u
ct
s i
n
di
cat
es a nee
d
t
o
m
ove t
o
m
o
re
po
we
rf
ul
p
r
oce
ssor
s
. T
h
e
AR
M
an
d
its v
a
rian
ts
offer m
a
n
u
f
acturers th
e
op
portun
ity to
m
o
v
e
directly to
3
2
-b
it co
n
t
ro
llers at
lo
w co
st an
d
with
a
g
r
eat
d
eal
o
f
fl
ex
ib
ility for
d
e
sig
n
i
n
g
cu
st
o
m
con
t
ro
llers.
The
ARM proc
essor is always
differe
d
from
othe
r co
mm
ercially available RISC
processors in
t
h
at it
i
s
i
n
t
e
nde
d t
o
m
eet
a pri
ce/
p
e
rf
orm
a
nce rat
i
o rat
h
e
r
t
h
a
n
t
o
be
t
h
e m
o
st
po
we
rf
ul
p
r
oc
essor
avai
l
a
bl
e
.
AR
M
process
o
rs
offe
r a
n
e
x
trem
ely
good
price/pe
rf
orm
a
nce ratio
com
p
ared t
o
other proce
ssors.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
S
SN
:
2
089
-48
64
IJR
E
S V
o
l
.
4, No
. 2,
J
u
l
y
20
1
5
:
5
5
– 62
58
Fi
gu
re
2.
LPC
1
7
6
8
M
i
cr
op
r
o
cesso
r
Th
e C
o
rtex
-M
3
p
r
o
cesso
r d
e
sig
n
h
a
s so
m
e
in
no
v
a
tiv
e an
d m
u
ch
im
p
r
o
v
ed
featu
r
es and
cap
a
b
ilities
w
h
en
co
mp
a
r
ed
w
ith
th
e A
R
M7
T
D
MI
p
r
o
c
e
s
s
o
r.
S
i
nc
e
th
e Co
r
t
ex
-
M
3
p
r
o
c
e
s
so
r
c
a
n
f
i
nis
h
a
ta
sk
q
u
i
ck
e
r
,
th
e
architecture us
es Thum
b-2 te
chnologies,
which
use
31%
less
m
e
m
o
ry, whic
h re
duces
syste
m
overhead in
co
m
p
ariso
n
wi
th
th
e
p
u
re
3
2
-b
it cod
e
.
At the sam
e
tim
e it
provides
38%
hi
g
h
er
pe
rf
orm
a
nce t
h
a
n
t
h
e e
x
i
s
t
i
n
g
tech
no
log
y
so
lu
tio
ns
b
a
sed on
Thu
m
b
.
The
ADC
c
o
l
l
ect
s sam
p
l
e
dat
a
by
usi
n
g
a p
r
og
ra
m
m
a
bl
e sequ
ence-
base
d a
p
pr
oac
h
.
ADC
acq
u
i
sition
su
pp
orts si
n
g
l
e-end
e
d and
d
i
fferen
tial-in
pu
t
co
nfigu
r
ation
s
.
The st
art
of t
h
e con
v
ersi
on c
a
n be co
nt
r
o
l
l
e
d by
vari
ous t
r
i
gge
ri
n
g
’s s
u
c
h
as C
ont
r
o
l
l
e
r
(soft
w
are
)
,
Tim
e
rsAnal
og
C
o
m
p
arat
ors,
P
W
M
an
d
GP
I
O
. T
h
e G
P
I
O
m
odul
e su
pp
or
t
s
5-
42
pr
o
g
ra
m
m
a
bl
e i
nput
/
out
pu
t
pi
ns
.
D.
D
a
t
a
St
o
r
ag
e
a
n
d P
r
o
ces
s
i
ng
U
n
it
In t
h
e
dat
a
st
ora
g
e an
d p
r
o
cessi
ng
uni
t
t
h
e di
gi
t
a
l
dat
a
t
h
at
obt
ai
ne
d fr
om
ADC
t
h
r
o
u
g
h
t
h
e
m
u
l
tich
a
n
n
e
l i
n
pu
t sign
als are sto
r
ed
in
a
data sto
r
ag
e
un
it th
at is in
flash m
e
m
o
ry. Data storage
play
s an
in
creasing
l
y essen
tial ro
le in
d
a
ta m
o
n
ito
ring
, con
t
ro
l, an
d
safet
y
p
r
ot
ect
i
o
n
.
Anal
og
dat
a
st
ora
g
e
i
s
s
u
bject
t
o
def
o
rm
at
i
on w
i
t
h
t
i
m
e
and p
o
o
r
pri
v
acy
pr
ot
ect
i
on.
On
t
h
e
ot
he
r ha
nd
, di
gi
t
a
l
i
n
st
r
u
m
e
nt
at
i
o
n
t
ech
n
o
l
o
gi
es
are kno
wn
for
h
i
gh
pro
cessing
cap
ab
ilities, wh
ich
allo
w t
h
e
m
to
p
e
rform
in
tellig
en
t on
bo
ard
co
m
p
u
tin
g
th
at
su
ppo
rts
fun
c
t
i
o
n
a
lity su
ch
as un
iv
ersal data sto
r
ag
e. In ad
d
ition
,
t
h
ey also
p
r
ov
id
e i
m
p
r
ov
ed
accu
r
acy
,
flexibility, and easier
data
protection [3
].
Thi
s
is
because
the conversi
on
from
various a
n
a
l
og
signal type
s to a
di
gi
t
a
l
f
o
rm
at
sim
p
l
i
f
i
e
s uni
ve
rsal
dat
a
a
r
c
h
i
v
i
ng a
n
d
uni
fi
es dat
a
pr
ot
ect
i
o
n a
n
d
com
m
uni
cat
i
on sc
hem
e
s.
Whi
l
e
de
si
g
n
i
ng t
h
e dat
a
s
t
ora
g
e bl
ock
,
ou
r m
a
i
n
pur
pos
e was t
o
pr
o
v
i
d
e c
ont
i
n
uo
us
dat
a
-
acquisition ca
pability along
with
random
a
ccess to
select
ed bloc
ks of
a
c
qui
red
data. The
solution we have
cho
s
en co
nsi
s
t
s
of b
u
i
l
d
i
n
g a l
a
rge bl
oc
k of
m
e
m
o
ry
, addr
essed ci
rcul
a
r
l
y
, where ac
qui
red dat
a
are
di
rect
l
y
sav
e
d
u
n
d
e
r the resp
on
si
b
ilit
y o
f
con
t
ro
l log
i
c con
t
ain
e
d
i
n
th
e d
a
ta
sto
r
ag
e
b
l
o
c
k
.
Th
i
s
con
t
ro
l log
i
c also
answ
ers t
h
e h
o
st
re
que
st
s b
y
fet
c
hi
n
g
t
h
e
req
u
i
r
e
d
bl
oc
k
s
of
dat
a
. T
h
e
onl
y
ot
her i
n
t
e
rve
n
t
i
o
n o
f
t
h
e h
o
st
p
r
o
cesso
r in
t
h
e pro
cess is th
e in
itial p
r
o
g
rammin
g
o
f
th
e
desired
m
o
d
e
of op
eration
o
f
the d
a
ta st
o
r
ag
e
b
l
o
c
k
.
E.
User interface
module (Display
unit)
A virtual
inst
rum
e
ntation user
interface m
odule
is des
i
gne
d for the
display
of
ra
w
data and
wave
form
s. This m
odule ha
s controls a
nd indicators
for cont
rolling a
nd m
onitoring, whic
h is de
velope
d
usi
n
g La
b V
I
E
W
pl
at
f
o
rm
. The dat
a
l
o
g m
odul
e i
s
desi
g
n
e
d
t
o
reco
rd m
easure
d
dat
a
i
n
t
o
dat
a
fi
l
e
s fo
r
fu
rt
he
r
use.
4.
DESIGN IMPLEMENTATION
The e
x
peri
m
e
nt
al
set
u
p
o
f
t
h
i
s
sy
st
em
was d
e
si
gne
d
u
nde
r
Lab
V
I
E
W
Nat
i
onal
i
n
st
r
u
m
e
nt
s (
N
I)
a
n
d
DA
Q b
o
a
r
d
.
Th
e desi
g
n
co
nsi
s
t
s
of C
o
rt
ex M
-
3
boa
r
d
, w
h
ic
h acts as the DAQ ca
rd
for interfacing the se
nsors
for acquiring the signals and NI SD
m
e
m
o
ry
st
ora
g
e m
o
dul
e u
s
ed f
o
r st
ori
n
g t
h
e ac
qui
red si
g
n
al
val
u
es
,
sho
w
n i
n
Fi
gu
r
e
3.
The N
I
E
ducat
i
onal
La
bo
rat
o
ry
Vi
rt
ual
I
n
st
r
u
m
e
nt
at
i
on Sui
t
e (NI E
L
V
I
S
)
i
s
a han
d
s-
o
n
desi
g
n
a
n
d
pr
ot
ot
y
p
i
ng
pl
at
form
t
h
at
i
n
t
e
grat
es ei
g
h
t
i
n
d
u
st
ri
al
sen
s
o
r
s i
n
t
h
i
s
p
r
o
j
ect
. B
a
sed o
n
NI
gra
phi
cal
s
y
st
em
d
e
sign
so
ft
ware,
NI ELVIS, with
USB
p
l
ug
-and
-p
lay cap
ab
ilities, o
f
fers t
h
e flex
ib
ility o
f
v
i
rtu
a
l
in
stru
m
e
n
t
atio
n
and
allows
fo
r
qu
ick
an
d easy
m
easu
r
emen
t acqu
i
sitio
n an
d d
i
sp
lay.
Th
is NI ELVIS II
h
a
s
an
alog
inpu
t ch
ann
e
ls
o
f
8
d
i
f
f
e
r
e
n
tial or
16 sin
g
l
e en
d
e
d
,
A
D
C
o
f
16
b
it r
e
so
l
u
tio
n, inpu
t f
r
e
qu
en
cy up
to
50
to
60
H
z
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
J
RES I
S
SN
:
208
8-8
7
0
8
Design
an
d Imp
l
emen
ta
tion
of Mu
ltich
ann
el
Da
t
a
Acqu
isitio
n and
Pro
cessin
g
(DAQP)
…
(
D
hruv
a R. Ri
nku)
59
We
use
d
t
h
e
L
P
C
1
7
6
8
M
i
cr
o
p
r
o
cess
o
r
as t
h
e h
o
st
c
ont
rol
l
er,
w
h
i
c
h
has
1
4
4
pi
ns.
Th
e
pr
ocess
o
r
has
a FSMC controller, whose data and addres
s lines are
separated. T
h
e FMSC controller can easily read and
w
r
ite th
e NAND
FLA
S
H
.
Fig
u
re 3
.
Data Acqu
isitio
n
Sy
ste
m
Desi
g
n
e
d
D
A
Q
co
nsi
s
t
s
of t
o
t
a
l
ei
ght
se
ns
ors a
s
s
h
o
w
n i
n
t
h
e
bl
oc
k
di
agram
.
W
h
e
n
e
v
er t
h
ere i
s
a
li
mit cro
sses in
p
a
rticu
l
ar
p
r
ed
eterm
i
n
e
d
sen
s
or
v
a
lu
es
t
h
en
th
ey will b
e
co
n
t
ro
lled
and
all th
e sen
s
or
v
a
lu
es
ar
e r
e
pr
esen
ted in
Lab
v
i
ew so
f
t
w
a
r
e
sen
t
t
h
r
oug
h RS-23
2
cab
le or
t
h
ro
ugh
Zi
g
b
e
e m
o
d
u
le w
i
r
e
lessly.
M
i
croVi
s
i
o
n
,
t
h
e p
o
pul
a
r
I
D
E fr
om
Kei
l
Soft
ware, c
o
m
b
i
n
es Pr
o
j
ect
M
a
nagem
e
nt
, So
urce C
o
d
e
Ed
itin
g, Program
Deb
u
g
g
i
ng
,
an
d Flash
Programmin
g
in
a sin
g
l
e,
po
werfu
l
env
i
ro
n
m
en
t.
5.
E
X
PERI
MEN
T
AL RES
U
L
T
S
The d
e
si
g
n
f
o
r
t
h
e M
oni
t
o
ri
n
g
sect
i
o
n i
s
de
si
gne
d a
nd
de
vel
o
ped
usi
ng
Lab V
I
E
W
bl
o
c
k di
a
g
ram
panel
wi
n
d
o
w
an
d t
h
e
res
u
l
t
s are m
oni
t
o
r
e
d
wi
t
h
La
b
V
I
EW
f
r
on
t
pan
e
l
w
i
n
dow
. Th
e f
o
llow
i
ng
Figu
re
sh
ows t
h
e b
l
o
c
k
p
a
n
e
l d
e
si
g
n
o
f
m
u
ltich
a
n
n
el d
a
ta acq
u
i
sit
i
o
n
,
p
r
o
cessi
ng an
d
retriev
a
l.
First th
e sign
al
s are
acqui
red f
r
om
sens
ors u
s
i
n
g DA
Q wi
t
h
nec
e
ssary
t
i
m
e
l
i
m
i
t
s
and cl
ock
freq
u
e
n
cy
and
t
h
e t
a
sk was creat
e
d
fo
r co
nt
i
n
uo
us
dat
a
acq
ui
si
t
i
on a
n
d t
h
e t
a
s
k
get
e
n
ded
.
Aft
e
r t
h
e e
nd
of t
h
i
s
t
a
sk t
h
e dat
a
i
s
st
ore
d
a
n
d
retriev
e
d
u
s
i
n
g TDMS file v
i
ewer
wh
ere this fu
n
c
ti
o
n
will sto
r
e th
e in
div
i
d
u
a
l sign
al
p
e
rform
a
n
ce v
a
lu
es
with
resp
ect to
ti
m
e
an
d
it was stor
ed i
n
an excel s
h
eet. Then t
h
e data
can be st
ore
d
i
n
a rem
ovab
l
e SD
me
m
o
ry
m
odule. The sensors are circuited
to Corte
x
M-3 boa
rd t
o
colle
ct the si
g
n
a
ls.
Th
e system
wi
ll ru
n
co
n
tinuo
usly un
til th
e user stop
th
e pro
cess.
Fig
u
re
4
.
LabVIEW Design
for Mu
ltich
a
n
n
el DAQ
Th
e
Fo
llowing figu
res Sho
w
s th
e
fron
t p
a
n
e
l wi
n
dow
of th
e m
u
ltich
a
n
n
e
l
d
a
ta acqu
isitio
n
and
p
r
o
cessi
n
g
syste
m
, sh
ows th
e
scop
e of allth
e
in
d
i
v
i
d
u
a
l ch
an
n
e
l
ou
tpu
t
. The sen
s
o
r
ou
tpu
t
s of all ch
ann
e
ls are
collected in
a s
t
ora
g
e file
fo
r
f
u
tu
re re
fe
rence
in a
n
e
x
cel s
h
eet. The
eac
h c
o
lum
n
store
s
t
h
e
perform
a
nce with
resp
ect to
tim
e
.
Here th
e TDMS file v
i
ewer will sto
r
e th
e acq
u
i
red
signals in
ter
m
s o
f
.x
m
l
file
fo
rmat th
is
will b
e
b
o
t
h
h
u
man
and
m
ach
in
e-read
ab
le.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
S
SN
:
2
089
-48
64
IJR
E
S V
o
l
.
4, No
. 2,
J
u
l
y
20
1
5
:
5
5
– 62
60
Th
e
Acqu
ired
d
a
ta is represen
ted
instan
tan
e
o
u
s
ly
as
gra
p
h
i
cal represe
n
tation in
Lab
V
I
E
W s
o
ftwa
re
on PC
. The
b
e
l
o
w Fi
gu
re s
h
o
w
s t
h
e
resul
t
of t
e
m
p
erat
ure m
easurem
ent
usi
n
g t
h
e
r
m
i
st
or. T
h
e cha
nge
o
f
t
e
m
p
erat
ure
va
l
u
es i
s
m
oni
t
o
r
e
d i
n
a
fr
ont
pa
nel
wi
nd
o
w
of
Lab
VI
E
W
Fi
gu
re
5(a
)
.
O
u
t
p
ut
W
a
ve
fo
r
m
of Tem
p
erat
ure
Se
nso
r
The
Seco
n
d
si
gnal
ac
q
u
i
r
e
d
i
s
t
h
e
Sm
oke o
r
gas
l
e
vel
i
n
di
c
a
t
i
on
obt
ai
ned
by
usi
n
g t
h
e
M
Q
-
6
Gas
seno
r
prov
id
e th
e lev
e
l
of ind
i
catio
n
with
resp
ect to
tim
eas sh
own
in th
e Fig
u
re
5
(
b
)
.
Fi
gu
re 5(
b
)
. O
u
t
p
ut
W
a
ve
fo
r
m
of
Sm
oke
se
nso
r
Th
e th
ird
signal is th
e Hu
mid
ity rate
m
e
a
s
u
r
em
en
t shown
i
n
figure
5
(
c),
o
b
t
ain
e
d b
y
u
s
ing
th
e
h
u
m
id
ity sen
s
orprov
id
es th
e in
fo
rm
atio
n
ab
ou
t th
e
p
e
r
cen
tag
e
relativ
e humid
ity p
r
esen
t
in
th
e env
i
ro
nmen
t
Fi
gu
re
5(c
)
.
O
u
t
p
ut
W
a
ve
fo
r
m
of H
u
m
i
di
ty Sens
o
r
The Fo
u
r
t
h
si
gnal
i
s
t
h
e l
i
ght
i
n
t
e
nsi
t
y
m
easurem
ent
sho
w
n i
n
fi
g
u
r
e 5(
d)
obt
ai
n
e
d by
usi
n
g
photoc
o
n
duc
tor
or
ph
ot
ocel
l
i
s
a vari
a
b
l
e
resi
st
o
r
w
h
os
e val
u
e
dec
r
ea
ses wi
t
h
i
n
cre
a
si
ng i
n
ci
de
nt
l
i
ght
in
ten
s
ity.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
J
RES I
S
SN
:
208
8-8
7
0
8
Design
an
d Imp
l
emen
ta
tion
of Mu
ltich
ann
el
Da
t
a
Acqu
isitio
n and
Pro
cessin
g
(DAQP)
…
(
D
hruv
a R. Ri
nku)
61
Fi
gu
re 5(
d
)
. O
u
t
p
ut
W
a
ve
fo
r
m
of
p
h
o
t
o
cel
l
The
fi
ft
h
si
g
n
a
l
i
s
t
h
e st
at
us
o
f
det
ect
i
on
o
f
t
h
e m
o
t
i
on usi
n
g
PIR
se
ns
or
u
s
ed t
o
det
ect
w
h
et
her a
h
u
m
a
n has
m
oved i
n
o
r
ou
t
of
t
h
e se
ns
or
s
ra
nge
sh
o
w
n
i
n
fi
g
u
re
5
(
e).
Figure
5(e
)
.
PIR Status
The si
xt
h
si
g
n
a
l
i
s
t
h
e Fi
re
st
a
t
us i
n
di
cat
o
r
as
sh
ow
n i
n
fi
g
u
r
e
5
(
f
)
.
Figure
5(f). Fi
re Status
The
next
si
gna
l
s
are t
h
e M
e
t
a
l
det
ect
i
on a
n
d
In
fra
red
(
I
R
)
s
t
at
us as sh
o
w
n
i
n
bel
o
w
fi
g
u
r
e
s 5(
g
)
a
n
d
fi
g
u
re
5
(
h
)
. M
e
t
a
l
det
ect
ors
ar
e use
d
as
p
r
ot
ect
i
on e
qui
pm
ent
.
Fi
gu
re
5(
g
)
. M
e
t
a
l
St
at
us
Fi
gu
re 5(
h
)
. IR
St
at
us
6.
CO
NCL
USI
O
N
Th
is p
a
p
e
r prop
o
s
ed
a tech
n
i
q
u
e
of m
u
ltich
a
n
n
e
l
DA
QP syste
m
to
m
o
n
ito
r indu
strial p
a
ram
e
ters
suc
h
as Gas
,
tem
p
erature, Fire, light, m
o
tion, Hum
i
dity
and
m
e
tal detection. T
h
e novel
as
pect of the de
sign is
to
b
r
ing
th
e syste
m
in
to
sm
a
l
l size, p
o
r
tab
ility, red
u
c
ed
co
st, p
o
wer con
s
um
p
t
io
n
,
and
d
a
ta sto
r
ag
e. Th
is is an
Evaluation Warning : The document was created with Spire.PDF for Python.
I
S
SN
:
2
089
-48
64
IJR
E
S V
o
l
.
4, No
. 2,
J
u
l
y
20
1
5
:
5
5
– 62
62
enorm
ous im
provem
ent over the existi
ng products.T
h
is entire syste
m
was
designed a
n
d tested succe
ssfully
usi
n
g t
h
e l
a
b
vi
ew t
o
ol
a
n
d
C
o
rt
ex M
-
3
p
r
oce
ssor
.
The
dat
a
acq
u
i
si
t
i
on desi
gne
d i
n
t
h
i
s
p
r
oj
ect
i
n
t
e
grat
es
a DA
Q
w
h
i
c
h
i
s
desi
g
n
e
d
a
r
o
u
nd
AR
M
C
o
rt
ex
M
3
M
C
U a
n
d
Lab
V
I
E
W
ap
pl
i
cat
i
o
n.
The
com
b
i
n
at
i
on
of
t
h
e t
w
o
pr
o
v
es
very
bene
fi
ci
al
i
n
s
o
l
u
t
i
o
ns
related
to
t
h
e au
to
m
a
tio
n
,
acqu
i
sitio
n
and
n
e
twork
i
n
g
fiel
d
s
. Each of th
e ab
ov
e
h
a
s
un
ique p
e
cu
liarities, wh
ich
is u
tilized
tog
e
th
er t
o
g
i
v
e
b
e
st p
e
rform
a
n
ce requ
ired
.
The low c
o
st
MCU ba
sed design m
a
kes syste
m
afford
ab
le to
t
h
e in
du
stries. Th
e
n
e
two
r
k
i
ng
cap
ab
ility en
ab
les h
i
gh
ly efficien
t d
a
ta an
alysis p
r
o
cess
an
d
for fu
t
u
re referen
ces, se
n
s
o
r
v
a
l
u
es sav
e
d
in
an
Excel File as
database.
7.
FUTU
RE W
O
RK
The
desi
g
n
o
f
net
w
or
k c
o
nt
ro
l
m
odul
e
f
o
r t
r
ansm
i
t
t
i
ng an
d
m
oni
t
o
ri
n
g
t
h
e real
t
i
m
e dat
a
acq
ui
re
d
fro
m
th
e DAQP d
e
v
i
ce thro
ug
h In
tern
et is t
h
e
fu
t
u
re
wo
rk
to
b
e
pro
g
ressed
ACKNOWLE
DGE
M
ENTS
I wou
l
d
lik
e to
exp
r
ess my
sin
cere gratitud
e
to
a
sso
ciate p
r
ofesso
r Mrs. Dhruv
a
R. Rin
k
u
fo
r h
e
r
g
u
i
d
a
n
ce i
n
con
tin
uou
s su
ppor
t, im
p
l
e
m
en
tatio
n
and
en
co
ur
ag
em
en
t to
pub
lish
th
is
p
a
p
e
r
.
A
n
d
also
I
w
o
u
l
d
lik
e to
ack
nowled
g
e
t
h
e
d
iligen
t efforts
o
f
Prof. C.Venk
at
Rao
Sir and
C
o
ord
i
n
a
tor Mrs. Sh
ailaj
a
Mada
m
o
f
C
V
R
C
o
l
l
e
ge
of
En
gi
nee
r
i
n
g
f
o
r t
h
ei
r s
u
p
port in
im
p
l
e
m
en
tatio
n
of t
h
is Proj
ect.
REFERE
NC
ES
[1]
http://www.
ni.
c
om Na
tional instruments.
[2]
http://www.
lava.com La
b VIEW
development.
[3]
Book “Lab VIEW for ever
y
one” written b
y
Jef
f
r
e
y
Travis
and Ji
m
Moha
m
m
e
d
Abdallah
,
Mem
b
er, Om
ar Elkeelan
y
,
and Ali
T.
Alou
ani,
“
A
Low-Cost Stand-Alone
Multichann
el
Data
Acquisit
i
on,
Monitoring,
and
Archiva
l
S
y
s
t
e
m
With On-Chip Signal Prepro
cessing” IEEE trans
actions on in
stru
mentation and
measuremen
t, vol. 60, no. 8
,
augus
t
2011 2813.
[4]
LPC1768 Micro
c
ontroller d
a
tasheet
http://www.
ti.
com/
BIOGRAP
HI
ES OF
AUTH
ORS
Mrs. Dhruva R.
Rinku, Associate
Professor, Dep
a
rtment of
EC
E,
CVR college of
Engineering.
G. Srinath
,
Doin
g M.Tech
in CV
R Colleg
e
of
En
gingeer
ing.
Evaluation Warning : The document was created with Spire.PDF for Python.