Data acquisition systems sample real-world data and convert it to digital form using transducers and sensors. They were first developed in the 1960s and have become essential for automatically collecting, processing, analyzing and displaying measured data. A data acquisition system consists of sensors, signal conditioning components, data acquisition hardware and computer software. Data loggers are electronic devices that record data over time from internal or external instruments and sensors. They are small, portable devices equipped with microprocessors that are useful for long-term monitoring and measurement applications across various industries.

1. DATA ACQUISITION SYSTEM AND
DATA LOGGER
TRIVEDI JAY A.
09 EC 27

2. DATA ACQUISITION SYSTEM

3. OBJECTIVE
 What is DAQ??
 Short history
 Block diagram
 Working of DAQ
 Component of DAQ
 Why we use DAQ
 Types of DAQ
 Application of DAQ
 sources

4. WHAT IS DAQ??
• Data Acquisition is the sampling of real world data
• It is the national instrument which measure the
physical data and convert that data in digital form.
• That digital form is calculated by transducers/other
sensors.
• Process, analyze, store, and display the acquired
data with the help of software

5. SHORT HISTORY
• First in 1963 it invented it's call by IBM 7700 Data
Acquisition System
• IBM 1800 Data Acquisition and Control System.
• In 1974 S-100
• In 1981 IBM Personal Computer and Scientific
Solutions it was the first pc data acquisition system

6. DAQ BLOCK DIAGRAM

7. COMPONENTS OF DAQ
• Each data acquisition system has unique
functionality to serve application- specific
requirements, all systems share common
components that include,
• Signals & sensors
• signal conditioning
• DAQ hardware
• computer with software.
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9. SIGNAL PROCESSING
• Electrical signals are conditioned so they can be
used by an analog input board. The following
features may be available:
Amplification
Isolation
Filtering
Linearization

10. WHY WE USE OF DAQ ??
• Collecting data from in any physical component is
very time consuming process
• But by the use of DAQ system it allows the
automatic data collection and made it easy.

11. Types of Data Acquisition Systems
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12. APPLICATION OF DAQ
• THE VARIOUS APPLICATIONS ARE AS UNDER
• Data Acquisition
• Integrated Systems
• Advance control
• Software techniques
• DSP technology
• Case study

13. SOURCE
 wikipedia.org
 ni.com
 omega.com
 mathworks.com

14. DATA LOGGER

15. OBJECTIVE
 What is data logger??
 Short history
 Types of data logger
 Application of data logger
 Working specification
 sources

16. WHAT IS DATA LOGGER??
• Data logger is an electronic device that records data
over time .
• It is located either with a built in instrument or sensor
via external instruments and sensors.
• digital processor
• They generally are small, battery powered, portable,
and equipped with a microprocessor

17. SHORT HISTORY
 First data logger was a CR7.
 It was basically invented 28 years before today.
 Then made improvement

18.  Data logger is a device which is used for
measuring the data
 like; if we want to measure the temperature of
railway rail the data logger is attached at various
distance and by the computer device we can see
and compare the whole temputere.

19. TYPES OF DATA LOGGER
 Mechanical data logger
 Electronic data logger
 Wireless data loggers
 Temperature , Humidity data logger

20. APPLICATION OF
DATA LOGGER
 Electric Utility Applications
 Meteorological Applications
 Process Industry Applications
 Mobile / Vehicle Test Applications
 Environmental Studies Applications
 Mining Industry Applications
 Water/Wastewater Utility Applications
 Water Resource Applications

23. WORKING SPECIFICATION
 Dimensions: 6.05"H x 3"W x 2.05"D (153.7mMH
X 76.2mm W x 52mm D)
 Software compatible with Windows 98, NT SP6,
Windows 2000, and Windows XP
 Requires 70MB of hard drive space
 Temperature: –5oF to 150oF + 1oF
(-20oC to 65oC + 0.5oC)
 Humidity: Operating 0 to 100%
(calibrated accuracy 15 - 85% + 5% RH)

24. source
 wikipedia.org
 geminidataloggers.com
 sydney.edu.

25. THANK YOU