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Data Acquisition
             FO SYED INAM




                            1
Introduction


 DAQ systems capture, measure, and analyze physical
  phenomena from real world
 Light, temperature and pressure are examples of the different
  phenomena
 Data acquisition is the process of sensing and measuring
  electrical signals and sending them to a computer for
  processing

                                                          2
DAQ Components
 Transducers

 Signal Conditioning Components

 Data Acquisition and Control Hardware

 PC/µ-Controller




                                          3
DAQ Block Diagram




                    4
Transducers

 Sense physical phenomena and
 translate it into electric signal

 Temperature       Displacement
 Pressure          Level
 Light             Electric signals
 Force             ON/OFF switch


                                     5
Transducers




              6
Signal Conditioning

 Amplification
 Attenuation
 Isolation
 Filtering
 Linearization
 Couplers
                            7
Signal Conditioning Components

  Op Amps

  Differentiators

  Integrators

  Filters



                             8
DAQ Hardware
 Data acquisition and control hardware
  generally performs one or more of the
  following functions:
  Analog Input
  Analog Output
  Digital I/O
  Counter/Timer Functions




                                          9
Analog Inputs (A/D)

ADC converts analog signal to digital




                                         10
Analog Inputs (A/D)
Device specifications
Number of input channels
Single-ended or differential input signals
Sampling rate
Resolution
Input range (in volts)
Noise and nonlinearity

                                              11
A/D Converter: Sampling Rate

 Determines how often conversions take place
 The higher the sampling rate, the better




    Analog    4 Samples/cycle   16 Samples/cycle
     Input
                                                12
A/D Converter: Sampling Rate

 Aliasing
  Acquired signal gets distorted if sampling rate is
   too small




                                                   13
A/D Converter: Throughput

 Effective rate of each individual channel is
 inversely proportional to the number of
 channels sampled
                  Example:
  100 KHz maximum
  16 channels
     100 KHz/16 = 6.25 KHz per channel


                                                 14
A/D Converter: Range

 Minimum and maximum voltage levels

 Ranges are selectable




                                       15
A/D Converter: Resolution




                            16
Analog Outputs (D/A)
 The opposite of analog to digital conversion is digital to
  analog (D/A) conversion. This operation converts digital
  information into analog voltage or current. D/A devices
  allow the computer to control real-world events.
 Analog output signals may directly control process
  equipment. The process can give feedback in the form
  of analog input signals. This is referred to as a closed
  loop control system with PID control.
 Analog outputs can also be used to generate
  waveforms. In this case, the device behaves as a
  function generator.


                                                         17
Analog Outputs (D/A)




                       18
Data Acquisition Software

 It can be the most critical factor in obtaining reliable,
  high performance operation.
 Transforms the PC and DAQ hardware into a
  complete DAQ, analysis, and display system.
 Different alternatives:
    Programmable software.
    Data acquisition software packages.




                                                         19
Programmable Software
 Involves the use of a programming language, such as:
    C++, visual C++
    BASIC, Visual Basic + Add-on tools (such as VisuaLab with
     VTX)
    Fortran
    Pascal
 Advantage: flexibility
 Disadvantages: complexity and steep learning curve




                                                                 20
Data Acquisition Software

 Does not require programming.
 Enables developers to design the custom
  instrument best suited to their application.
  Examples: TestPoint, SnapMaster, LabView,
  DADISP, DASYLAB, etc.



                                                 21
Designing a DAQ:
         Factors to Consider
 Is it a fixed or a mobile application?
 Type of input/output signal: digital or analog?
 Frequency of input signal ?
 Resolution, range, and gain?
 Continuous operation?
 Compatibility between hardware and software. Are the
  drivers available?
 Overall price

                                                  22

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Enam final

  • 1. Data Acquisition FO SYED INAM 1
  • 2. Introduction  DAQ systems capture, measure, and analyze physical phenomena from real world  Light, temperature and pressure are examples of the different phenomena  Data acquisition is the process of sensing and measuring electrical signals and sending them to a computer for processing 2
  • 3. DAQ Components  Transducers  Signal Conditioning Components  Data Acquisition and Control Hardware  PC/µ-Controller 3
  • 5. Transducers  Sense physical phenomena and translate it into electric signal  Temperature  Displacement  Pressure  Level  Light  Electric signals  Force  ON/OFF switch 5
  • 7. Signal Conditioning  Amplification  Attenuation  Isolation  Filtering  Linearization  Couplers 7
  • 8. Signal Conditioning Components  Op Amps  Differentiators  Integrators  Filters 8
  • 9. DAQ Hardware  Data acquisition and control hardware generally performs one or more of the following functions: Analog Input Analog Output Digital I/O Counter/Timer Functions 9
  • 10. Analog Inputs (A/D) ADC converts analog signal to digital 10
  • 11. Analog Inputs (A/D) Device specifications Number of input channels Single-ended or differential input signals Sampling rate Resolution Input range (in volts) Noise and nonlinearity 11
  • 12. A/D Converter: Sampling Rate  Determines how often conversions take place  The higher the sampling rate, the better Analog 4 Samples/cycle 16 Samples/cycle Input 12
  • 13. A/D Converter: Sampling Rate  Aliasing Acquired signal gets distorted if sampling rate is too small 13
  • 14. A/D Converter: Throughput  Effective rate of each individual channel is inversely proportional to the number of channels sampled Example: 100 KHz maximum 16 channels 100 KHz/16 = 6.25 KHz per channel 14
  • 15. A/D Converter: Range  Minimum and maximum voltage levels  Ranges are selectable 15
  • 17. Analog Outputs (D/A)  The opposite of analog to digital conversion is digital to analog (D/A) conversion. This operation converts digital information into analog voltage or current. D/A devices allow the computer to control real-world events.  Analog output signals may directly control process equipment. The process can give feedback in the form of analog input signals. This is referred to as a closed loop control system with PID control.  Analog outputs can also be used to generate waveforms. In this case, the device behaves as a function generator. 17
  • 19. Data Acquisition Software  It can be the most critical factor in obtaining reliable, high performance operation.  Transforms the PC and DAQ hardware into a complete DAQ, analysis, and display system.  Different alternatives:  Programmable software.  Data acquisition software packages. 19
  • 20. Programmable Software  Involves the use of a programming language, such as:  C++, visual C++  BASIC, Visual Basic + Add-on tools (such as VisuaLab with VTX)  Fortran  Pascal  Advantage: flexibility  Disadvantages: complexity and steep learning curve 20
  • 21. Data Acquisition Software  Does not require programming.  Enables developers to design the custom instrument best suited to their application. Examples: TestPoint, SnapMaster, LabView, DADISP, DASYLAB, etc. 21
  • 22. Designing a DAQ: Factors to Consider  Is it a fixed or a mobile application?  Type of input/output signal: digital or analog?  Frequency of input signal ?  Resolution, range, and gain?  Continuous operation?  Compatibility between hardware and software. Are the drivers available?  Overall price 22

Editor's Notes

  1. Data acquisition is the process of sampling signals that measure real world physical conditions and converting the resulting samples into digital numeric values that can be manipulated by a computer.
  2. A data acquisition system consists of many integrated components that are Transducers: which sense the physical variables and produce proportional electrical signal Signal Conditioning Components make this signal suitable for measurement….. Data Acquisition and Control Hardware…. Convert the signal into a digital format acceptable by a computer Software …..process, analyze ,store and display
  3. A transducer converts temperature, pressure, level, length, position, etc. into voltage, current, frequency, pulses or other signals.
  4. Transducers for some of the physical variables are as flashed
  5. Signal conditioning circuits improve the quality of signals generated by transducers before they are converted into digital signals by the PC's data-acquisition hardware. Accuracy Effectiveness Noise removal Safety
  6. Signal conditioning circuits improve the quality of signals generated by transducers before they are converted into digital signals by the PC's data-acquisition hardware. Examples of signal conditioning are signal scaling, amplification, linearization, cold-junction compensation, filtering, attenuation, excitation, common-mode rejection, and so on.
  7. ADC changes analog voltage or current levels into digital information. The conversion is necessary to enable the computer to process or store the signals.
  8. The most significant criteria when selecting A/D hardware are:
  9. According to nyquist theorem the sampling rate should be 2 times greater than the highest frequency component of the signal…….if it is smaller than there will be distortion in the original signal……….
  10. Range is another important specification of AD converter………..range is the Minimum and maximum voltage levels that the A/D converter can quantize Ranges are selectable (either hardware or software) to accurately measure the signal
  11. The opposite of analog to digital conversion is digital to analog (D/A) conversion. This operation converts digital information into analog voltage or current. D/A devices allow the computer to control real-world events