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BY – ABHISHEK SUR
SYSTEM ID- 2019595927
ROLL NO -190134001
SUBMITTED TO – SUMAN LATA DHAR
 DATA ACQUISITION
 ROLE OF TRANSDUCERS
 ANALOG SIGNALS
 SIGNAL CONDITIONING
 PARTS OF SIGNAL CONDITIONING
 COMPONENTS OF DAQ DEVICES
 Data acquisition involves gathering signals from a
measuring sources and then digitizing the signals
for storage, analysis and presentation on a PC.
 It may come in many different PC technology
forms to offer flexibility while choosing a
system.
 The main components for building a basic DAC
system are:-
 Transducers and Sensors
 Signals
 Signal conditioning
 DAQ hardware
 Driver and Application Software
 Now, Transducer is a device that converts a
physical phenomenon into measurable
electrical signal such as voltage or current
 It has the same agreement like that of
sensors in data acquisition system.
 There are specific transducers for many
different applications such as measuring
temparature, pressure and fluid flow.
 Phenomenon
 Temperature
 Light
 Sound
 Force &Pressure
 Acceleration
 Transducers
 Thermocouple, RTD
 Photo Sensor
 Microphone
 Strain gauge
 Accelerometer
 It is a type of signals that can exist at any
value with respect to time. Examples are
voltage, temperature, pressure, load.
 The three primary characteristics of an
analog signal are level, shape and frequency.
 LEVEL:- It gives us the vital information
about the measured analog signal. As when
we measure it the signal doesn't change
quickly with time. The accuracy is also
important.
 SHAPE:- Some signals are named after
specific shapes as square, sawtooth, triangle
etc. It is important because by analyzing the
shape we can further analyse the signal.
 FREQUENCY:- All analog signals can be
categorized by their frequencies. Unlike
level or shape you cannot directly measure
frequency. But it can be analysed in a
software through Fourier Transform.
 Sometimes transducers generate signals too
difficult to measure with a data acquisition
device.
 For that reason only signal conditioning is
used as for noisy environment, extreme high
or low signals it is used.
 It also maximizes the accuracy of the system
and allows sensor to operate properly and
assures safety.
 It is important to select the right hardware
for signal conditioning. It can be both
modular and integrated type:-
 Amplification
 Linearization
 Filtering
 Multiplexing
 Improves the accuracy in the digitized signal
and reduces the effects of the noise.
 Signals should be amplified close to the
source results into high SNR.
 For highest accuracy amplify the voltage
level to maximum input range of ADC.
 Most of the transducers have non-linear
response.
 LabVIEW can linearize the voltage levels
from transducers so that you can scale the
voltages to the measured phenomenon.
 Software based.
 It is to remove unwanted signals from the
signal of interest i.e. the signal which is to
be measured.
 Noise reduces the measurement accuracy.
 For DC signals Many SCXI-
Signal Conditioning Extension for Instrumenta
tion modules uses 4Hz and 10kHz low pass
filters to eliminate the noise before the
signals are digitized by DAQ device.
 Technique for measuring several signals with
a single device.
 The ADC samples one channel, switches to
next channel samples it, switches to next
channel and so on.
 Because same ADC samples many channels
instead of one, the effective sampling rate of
the individual channel is inversely to number
of channels sampled.
 Analog I/O
 Digital I/O
 MUX
 ADC
 DAC
 Counter
 RTSI (Real Time System Integration) Bus
 The DAQ device is an external and connects
to the computer through an exiting port such
as serial port or Ethernet port .
 The computer receives the raw data through
DAQ Device.
 The application which is written in the
software presents and manipulates the raw
data so that it can be understood.
 Software also controls the DAQ system by
commanding the DAQ device and manages
when and from which channel to acquire the
data.
DATA  ACQUISITION (DAQ) IN LABVIEW

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DATA ACQUISITION (DAQ) IN LABVIEW

  • 1. BY – ABHISHEK SUR SYSTEM ID- 2019595927 ROLL NO -190134001 SUBMITTED TO – SUMAN LATA DHAR
  • 2.  DATA ACQUISITION  ROLE OF TRANSDUCERS  ANALOG SIGNALS  SIGNAL CONDITIONING  PARTS OF SIGNAL CONDITIONING  COMPONENTS OF DAQ DEVICES
  • 3.  Data acquisition involves gathering signals from a measuring sources and then digitizing the signals for storage, analysis and presentation on a PC.  It may come in many different PC technology forms to offer flexibility while choosing a system.  The main components for building a basic DAC system are:-  Transducers and Sensors  Signals  Signal conditioning  DAQ hardware  Driver and Application Software
  • 4.  Now, Transducer is a device that converts a physical phenomenon into measurable electrical signal such as voltage or current  It has the same agreement like that of sensors in data acquisition system.  There are specific transducers for many different applications such as measuring temparature, pressure and fluid flow.
  • 5.  Phenomenon  Temperature  Light  Sound  Force &Pressure  Acceleration  Transducers  Thermocouple, RTD  Photo Sensor  Microphone  Strain gauge  Accelerometer
  • 6.  It is a type of signals that can exist at any value with respect to time. Examples are voltage, temperature, pressure, load.  The three primary characteristics of an analog signal are level, shape and frequency.
  • 7.  LEVEL:- It gives us the vital information about the measured analog signal. As when we measure it the signal doesn't change quickly with time. The accuracy is also important.  SHAPE:- Some signals are named after specific shapes as square, sawtooth, triangle etc. It is important because by analyzing the shape we can further analyse the signal.
  • 8.  FREQUENCY:- All analog signals can be categorized by their frequencies. Unlike level or shape you cannot directly measure frequency. But it can be analysed in a software through Fourier Transform.
  • 9.  Sometimes transducers generate signals too difficult to measure with a data acquisition device.  For that reason only signal conditioning is used as for noisy environment, extreme high or low signals it is used.  It also maximizes the accuracy of the system and allows sensor to operate properly and assures safety.
  • 10.  It is important to select the right hardware for signal conditioning. It can be both modular and integrated type:-  Amplification  Linearization  Filtering  Multiplexing
  • 11.  Improves the accuracy in the digitized signal and reduces the effects of the noise.  Signals should be amplified close to the source results into high SNR.  For highest accuracy amplify the voltage level to maximum input range of ADC.
  • 12.  Most of the transducers have non-linear response.  LabVIEW can linearize the voltage levels from transducers so that you can scale the voltages to the measured phenomenon.  Software based.
  • 13.  It is to remove unwanted signals from the signal of interest i.e. the signal which is to be measured.  Noise reduces the measurement accuracy.  For DC signals Many SCXI- Signal Conditioning Extension for Instrumenta tion modules uses 4Hz and 10kHz low pass filters to eliminate the noise before the signals are digitized by DAQ device.
  • 14.  Technique for measuring several signals with a single device.  The ADC samples one channel, switches to next channel samples it, switches to next channel and so on.  Because same ADC samples many channels instead of one, the effective sampling rate of the individual channel is inversely to number of channels sampled.
  • 15.  Analog I/O  Digital I/O  MUX  ADC  DAC  Counter  RTSI (Real Time System Integration) Bus
  • 16.  The DAQ device is an external and connects to the computer through an exiting port such as serial port or Ethernet port .  The computer receives the raw data through DAQ Device.  The application which is written in the software presents and manipulates the raw data so that it can be understood.  Software also controls the DAQ system by commanding the DAQ device and manages when and from which channel to acquire the data.