Data Acquisition (DAQ)

Slides:



Advertisements
Similar presentations
1 Chapter 3 Input Devices. 2 Overview of the Input Process.
Advertisements

Interfacing to the Analog World
Interfacing to the Analog World
Analog-to-Digital Converter (ADC) And
PH4705 ET4305 Interface Standards A number of standard digital data interfaces are used in measurement systems to connect instruments and computers for.
PPT 206 Instrumentation, Measurement and Control SEM 2 (2012/2013) Dr. Hayder Kh. Q. Ali 1.
Data Acquisition Risanuri Hidayat.
Data Acquisition Concepts Data Translation, Inc. Basics of Data Acquisition.
Analog/Digital Coding Bobby Geevarughese ECE-E4434/12/05.
Analog to Digital Conversion. 12 bit vs 16 bit A/D Card Input Volts = A/D 12 bit 2 12 = Volts = Volts = 2048 −10 Volts = 0 Input Volts.
Presented by- Md. Bashir Uddin Roll: Dept. of BME KUET, Khulna-9203.
Instrumentation - Introduction 10/9/2013Ohio University - Dr. Cyders1 Engineering measurements are usually taken by some form of transducer. A transducer.
Unit 4 Sensors and Actuators
Data Acquisition Systems ACES Presentation Brad Ellison March 11, 2003.
A Brief Overview of LabVIEW Data Acquisition (DAQ)
FOLLOWER SENSORS AND ACTUATORS EE 552 INTSTRUCTOR :Dr MOHAN KRISNAN BY MOHAMMED KASHIF IQBAL ANESH BODDAPATTI UNIVERSITY OF DETROIT MERCY.
CR1000s are only one part of a data acquisition system. To get good data, suitable sensors and a reliable data retrieval method are required. A failure.
ESE Lab Computer based Temperature Control Sid Deliwala, ESE Labs.
Arduino Week 3 Lab ECE 1020 Prof. Ahmadi. Objective Data acquisition (DAQ) is the process of measuring an electrical or physical phenomenon such as voltage,
CR1000s are only one part of a data acquisition system. To get good data, suitable sensors and a reliable data retrieval method are required. A failure.
Study of Data Acquisition System and Data Loggers
Floyd, Digital Fundamentals, 10 th ed EET 2259 Unit 12 Data Acquisition  Read Bishop, Chapter 8.  Lab #12 and Homework #12 due next week.
Engineering 1040: Mechanisms & Electric Circuits Fall 2011 Introduction to Embedded Systems.
Numerical algorithms for power system protection Prof. dr. sc. Ante Marušić, doc. dr. sc. Juraj Havelka University of Zagreb Faculty of Electrical Engineering.
DATA ACQUISITION Today’s Topics Define DAQ and DAQ systems Signals (digital and analogue types) Transducers Signal Conditioning - Importance of grounding.
LSU 06/04/2007Electronics 61 Data Acquisition Electronics Unit – Lecture 6 Sensors and Transducers Signal conditioning Data sampling and recording.
Data Acquisition Data acquisition (DAQ) basics Connecting Signals Simple DAQ application Computer DAQ Device Terminal Block Cable Sensors.
Analog to Digital Data Conversion
Basics of data acquisition systems
Digital to Analogue Converter
Data Acquisition Systems
Data Acquisition Dr inż. ZDZISŁAW PÓLKOWSKI Polkowice, 2015 University of Pitesti Dolnośląska Wyższa Szkoła Przedsiębiorczości i Techniki w Polkowicach.
Digital Electronics and Computer Interfacing
Digitization When data acquisition hardware receives an analog signal it converts it to a voltage. An A/D (analog-to-digital) converter then digitizes.
Measurement Fundamentals Rajesh Vaidya DAQ Software Engineer Wed 10:15a, 12:45p, and 3:30p Colorado (6A) Rajesh Vaidya DAQ Software Engineer.
Instrumentation Overview Spring 2012 The laboratory is a controlled environment where we can measure isolated physical phenomena with a view to eventual.
V. Rouillard  Introduction to measurement and statistical analysis DIGITAL SAMPLING - DIGITISATION Digital sampling is mainly used in data acquisition.
Engineering H192 - Computer Programming Gateway Engineering Education Coalition Lab 1P. 1Winter Quarter Data Acquisition System Fundamentals Lab 1.
Data Acquisition and Interfacing (Section 4.5) Lecture 18.
Data acquisition is the process of sampling signals that measure real world physical conditions and converting the resulting samples into digital numeric.
Digital to Analog Converter (DAC)
16722 Mo: data acquisition150+1 data acquisition.
A Presentation on Mr. SAJID NAEEM M.SC – Electronics (UOP) PG-DEP (C-DAC)
Lecture Notes / PPT UNIT III
1 Summary Lecture: Part 1 Sensor Readout Electronics and Data Conversion Discovering Sensor Networks: Applications in Structural Health Monitoring.
Arduino Week 3 Lab ECE 1020 Prof. Ahmadi. Objective Data acquisition (DAQ) is the process of measuring an electrical or physical phenomenon such as voltage,
Components of Mechatronic Systems AUE 425 Week 2 Kerem ALTUN October 3, 2016.
Lesson 1 PLC BASICS. PLC Definition  Programmable Logic Controllers are industrial computers that control machine and other applications.  PLC have.
MECH 373 Instrumentation and Measurements
Microprocessors Data Converters Analog to Digital Converters (ADC)
SIGNAL CONDITIONING Signal conditioning is stage of instrumentation system used for modifying the transduced signal into a usable format for the final.
EET 2259 Unit 12 Data Acquisition
EKT124 Digital Electronics 1 Introduction to Digital Electronics
SCADA for Remote Industrial Plant
Data Acquisition Systems
Project Members: M.Premraj ( ) G.Rakesh ( ) J.Rameshwaran ( )
Digital Design.
Chapter 8 Data Acquisition
Introduction to data converters
Introduction to data converters
Lesson 2: Introduction to Control programming using Labview
EET 2259 Unit 12 Data Acquisition
INSTRUMENTASI INDUSTRI
הודעות ריענון מהיר והרחבות Charts & Graphs גרף XY בניית מחולל אותות
Analog to Digital Data Conversion
הודעות ריענון מהיר והרחבות דגימת אות Low-Level
MicroLogix Packaged Controllers
Universiti Malaysia Perlis
Digital Control Systems Waseem Gulsher
Data Acquisition Electronics Unit – Lecture 6
Presentation transcript:

Data Acquisition (DAQ) Hardware and software modern electronic instrumentation unit 5

modern electronic instrumentation unit 5 Data Acquisition (DAQ) Data acquisition is the process of collecting and measuring electrical signals and sending them to a computer for processing. DAQ systems capture, measure, and analyze physical phenomena from the real world modern electronic instrumentation unit 5

Classification of signal Analog- DC - Waveform (time domain) Waveform (frequency domain) Digital -- level Pulse and Wave-train Vary slowly with time Require precise timing Require Powerful PC Simple Digital I/O modern electronic instrumentation unit 5

modern electronic instrumentation unit 5 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 Convert the signal into a digital format acceptable by a computer Process, analyze, store, and display the acquired data with the help of software modern electronic instrumentation unit 5

Data Acquisition System Block Diagram modern electronic instrumentation unit 5

modern electronic instrumentation unit 5 Transducers Sense physical phenomena and translate it into electric signals. Examples: Temperature Pressure Light Force Displacement Level Electric signals ON/OFF switch modern electronic instrumentation unit 5

modern electronic instrumentation unit 5 Signal Conditioning Electrical signals are conditioned so they can be used by an analog input board. The following features may be available: Amplification Isolation Filtering Linearization modern electronic instrumentation unit 5

modern electronic instrumentation unit 5 Analog Signal is continuous Example: strain gage. Most transducers produce analog signals Digital Signal is either ON or OFF Example: light switch. modern electronic instrumentation unit 5

modern electronic instrumentation unit 5 A/D converter The trade-off usually falls between 1- Resolution (bits) & Code Width 2- Sampling rate (samples/second) 3- Number of channels, and data transfer rate (usually limited by “bus” type: USB, PCI, PXI, etc.). modern electronic instrumentation unit 5

modern electronic instrumentation unit 5 Resolution Precision of the analog to digital conversion process is dependent upon the number (n) of bits the ADC of the DAQ uses. The higher the resolution, the higher the number of divisions the voltage range is broken into (2^n), and therefore, the smaller the detectable voltage changes. modern electronic instrumentation unit 5

modern electronic instrumentation unit 5 Code width Code width is the smallest change in a signal that a DAQ system can detect • Calculated using the formula Code width Where D is DAQ device input range and n is the resolution • Larger resolution implies smaller code width and Larger resolution implies smaller code width and more accurate representation of the signal modern electronic instrumentation unit 5

modern electronic instrumentation unit 5 Code Width For example, a 12-bit DAQ device with a 0 to 10 V input range detects a 2.4 mV change, while the same device with a -10 to 10 V input range would detect a change of 4.8 mV. modern electronic instrumentation unit 5

modern electronic instrumentation unit 5 Sampling Rate Determines how often conversions take place. The higher the sampling rate, the better. Analog Input 4 Samples/cycle 8 Samples/cycle 16 Samples/cycle modern electronic instrumentation unit 5

modern electronic instrumentation unit 5 For accurate frequency representation: Sample at least 2x the highest frequency signal being measured • For accurate shape representation – Sample 5–10x the highest frequency signal being measured. modern electronic instrumentation unit 5

modern electronic instrumentation unit 5 Connecting to board Three options available Differential (Diff) Referenced to a common signal reference (Non-referenced Single Ended -NRSE) Referenced to a safety ground (Referenced Single Ended-RSE) modern electronic instrumentation unit 5

modern electronic instrumentation unit 5

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. modern electronic instrumentation unit 5

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 C# Advantage: flexibility Disadvantages: complexity and steep learning curve Programmable software involves the use of a programming language, such as C, C++, Fortran, or many other languages. The advantage of writing custom software for data acquisition is that the programmer has ultimate flexibility in what the software does. The disadvantage is that this is complex and has a steep learning curve. modern electronic instrumentation unit 5

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. The alternative is to use data acquisition software. This does not require traditional programming. Developers can design custom instruments best suited to their application. Examples are Testpoint, SnapMaster, LabView, DADISP, DASYLAB, and others. modern electronic instrumentation unit 5