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Data Accquisition

The document provides an overview of data acquisition systems (DAS), detailing their components, such as transducers, signal conditioning, and data acquisition hardware. It emphasizes the importance of selecting appropriate A/D and D/A converters based on criteria like sampling rate and resolution. Additionally, it discusses the role of software in transforming hardware into a complete data acquisition and analysis system.

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0% found this document useful (0 votes)
15 views26 pages

Data Accquisition

The document provides an overview of data acquisition systems (DAS), detailing their components, such as transducers, signal conditioning, and data acquisition hardware. It emphasizes the importance of selecting appropriate A/D and D/A converters based on criteria like sampling rate and resolution. Additionally, it discusses the role of software in transforming hardware into a complete data acquisition and analysis system.

Uploaded by

theultrandom
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
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Data Acquisition

Acquisition
System Overview
• In the last few years, industrial PC I/O interface products have become
increasingly reliable, ccurate and affordable. PC-based data acquisition
and control systems are widely used in industrial and laboratory
applications like monitoring, control, data acquisition and automated
testing.
• Selecting and building a DA&C (Data Acquisition and Control) system
that actually does what you want it to do requires some knowledge of
electrical and computer engineering.
• • Transducers and actuators
• • Signal conditioning
• • Data acquisition and control hardware
• • Computer systems software
Data Acquisition System
Introduction I
A data acquisition system consists of
many components that are integrated
to:
• Sense physical variables (use of
transducers)
• Condition the electrical signal to make it
readable by an A/D board
Data Acquisition System
Introduction II

• Convert the signal into a digital format


acceptable by a computer
• Process, analyze, store, and display the
acquired data with the help of software
Data Acquisition System
Block Diagram
Transducers
Sense physical phenomena and
translate it into electric signal.

■ Temperature ■ Displacement
■ Pressure ■ Level
■ Light ■ Electric signals
■ Force ■ ON/OFF switch
Transducers and
Actuators
• A transducer converts temperature, pressure, level,
length, position, etc. into voltage, current,
frequency, pulses or other signals.
• An actuator is a device that activates process
control equipment by using pneumatic, hydraulic
or electrical power. For example, a valve actuator
opens and closes a valve to control fluid rate.
Signal Conditioning
• 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.
Signal Conditioning
• One of the most common signal conditioning
functions is amplification.
• For maximum resolution, the voltage range of the
input signals should be approximately equal to the
maximum input range of the A/D converter.
Amplification expands the range of the transducer
signals so that they match the input range of the
A/D converter. For example, a x10 amplifier maps
transducer signals which range from 0 to 1 V into
the range 0 to 10 V before they go into the A/D
converter.
Signal Conditioning
Electrical signals are conditioned so
they can be used by an analog input
board. The following features may be
available:
■ Amplification ■ Filtering
■ Isolation ■Linearization
Data Acquisition
• Data acquisition and control hardware
generally performs one or more of the
following functions:
• analog input,
• analog output,
• digital input,
• digital output and
• counter/timer functions.
Analog Inputs (A/D)
• Analog to digital (A/D) conversion changes
analog voltage or current levels into digital
information. The conversion is necessary to enable
the computer to process or store the signals.
Analog Inputs (A/D)
• The most significant criteria when selecting A/D
hardware are:
• 1. Number of input channels
• 2. Single-ended or differential input signals
• 3. Sampling rate (in samples per second)
• 4. Resolution (usually measured in bits of resolution)
• 5. Input range (specified in full-scale volts)
• 6. Noise and nonlinearity
Analog to Digital (A/D)
Converter

• Input signal ■ Resolution


■ Range
• Sampling rate
■ Gain
• Throughput
A/D Converter:
Input Signal

• Analog
✔ Signal is continuous
Example: strain gage. Most of transducers
produce analog signals
■ Digital
✔ Signal is either ON or OFF
Example: light switch.
A/D Converter:
Sampling Rate

Determines how often conversions take


place.
The higher the sampling rate, the better.
Analog 16
8
4 Samples/cycle
Samples/cycle
Samples/cycle
Input
A/D Converter:
Sampling Rate

• Aliasing.
✔ Acquired signal gets distorted if
sampling rate is too small.
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.


A/D Converter:
Range

• Minimum and maximum voltage levels


that the A/D converter can quantize

■ Ranges are selectable (either


hardware or software) to
accurately measure the signal
A/D Converter:
Resolution
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.
Analog Outputs (D/A)
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.
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
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.
Designing a DAS:
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.

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