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Data Acquisition (DAQ)

Image Part Number Description / PDF Quantity Rfq
WEBDAQ 316

WEBDAQ 316

INTERNET ENABLED THERMOCOUPLE DA

2
D1132M

D1132M

DGH Corporation

+/-5VIN, RS-485 OUT, MODBUS RTU

15
779407-01

779407-01

NI

NI PCI-6122 S SERIES MULTIFUNCTI

1
779975-01

779975-01

NI

NI USB-6509 96-CHANNEL 5 V / TTL

3
779072-01

779072-01

NI

NI PCI-6259, M SERIES DAQ (32 AN

4
782264-01

782264-01

NI

NI USB-6366, X SERIES DAQ DEVICE

1
D5251M

D5251M

DGH Corporation

4-20MA IN, 4CH, RS-232, MODBUS

15
193132-01

193132-01

NI

USB-6009 OEM BOARD ONLY KIT (NO

7
197504-03

197504-03

NI

NI USB-6212 OEM BUS-POWERED M SE

0
D1141M

D1141M

DGH Corporation

+/-10VIN, RS-232 OUT, MODBUS RTU

14
779546-01

779546-01

NI

NI PCI-6255 (80 ANALOG INPUTS, 2

2
D1251M

D1251M

DGH Corporation

4-20MA INPUT, RS-232 OUT, MODBUS

15
779694-01

779694-01

NI

NI USB-6251 M SERIES DAQ DEVICE,

2
782250-01

782250-01

NI

NI USB-6341, OEM X SERIES DAQ DE

3
779443-01

779443-01

NI

NI PCI-6520 8 CH/CH ISO DI, 8 60

5
779959-01

779959-01

NI

NI USB-6255 M SERIES DAQ, MASS,

3
779625-01

779625-01

NI

NI PCI-6239, ISOLATED (ANALOG CU

1
777740-01

777740-01

NI

NI PCI-6711 ANALOG OUTPUT BOARD

3
778836-01

778836-01

NI

NI PCI-6514 INDUSTRIAL 32 SOURCE

17
785815-01

785815-01

NI

USB-6346 MULTIFUNCTION I/O DEVIC

1

Data Acquisition (DAQ)

1. Overview

Data Acquisition (DAQ) refers to systems that convert physical phenomena (e.g., temperature, pressure, voltage) into digital data for analysis, monitoring, and control. Modern DAQ systems integrate hardware and software to sample, condition, and process signals. They are critical in scientific research, industrial automation, automotive testing, and medical diagnostics, enabling precise data-driven decision-making.

2. Main Types and Functional Classification

TypeFunctional FeaturesApplication Examples
Portable DAQCompact, battery-powered, USB/Wi-Fi connectivityField testing, mobile diagnostics
Modular DAQCustomizable slots for various I/O modulesProduction line monitoring
Virtual Instrument DAQSoftware-centric with PC-based processingLab experiments, R&D
Industrial DAQRuggedized, high noise immunityFactory automation, HVAC systems

3. Structure and Components

A typical DAQ system comprises:

  • Hardware: Sensors/transducers, signal conditioning circuits, analog-to-digital converters (ADC), processors (e.g., FPGAs), communication interfaces (Ethernet, PCIe).
  • Software: Driver layers (e.g., NI-DAQmx), data visualization tools, analysis algorithms (FFT, filtering), and storage modules.

Example: A vibration analysis DAQ system uses accelerometers, charge amplifiers, and a PXI chassis for signal processing.

4. Key Technical Specifications

ParameterDescriptionImportance
Sampling RateMeasure of data points captured per second (up to GSPS)Determines fidelity of high-frequency signals
ResolutionADC bit depth (12-24 bits)Impacts measurement precision
Input RangeVoltage/current range compatibilityEnsures sensor compatibility
IsolationElectrical separation between channelsProtects system from surges

5. Application Fields

  • Industrial: Machine condition monitoring (e.g., Siemens SIMATIC IOT2000)
  • Automotive: Crash test data logging (e.g., Kistler KiDAQ)
  • Medical: ECG signal acquisition (e.g., National Instruments PXIe-4143)
  • Aerospace: Flight test instrumentation (e.g., Curtiss-Wright DAQ systems)

6. Leading Manufacturers and Products

ManufacturerRepresentative ProductKey Features
National InstrumentsPXIe-63638-channel, 16-bit resolution, 2MS/s sampling
Keysight Technologies34972A LXI DAQ20-bit resolution, 250kS/s, modular design
Teledyne LeCroyHDO6000 DAQ12-bit ADC, 1GHz bandwidth oscilloscope integration

7. Selection Guidelines

Consider the following factors:

  1. Application Requirements: Determine signal types (analog/digital), environmental conditions (temperature, vibration).
  2. Performance: Match sampling rate/resolution to signal characteristics (e.g., audio vs. RF).
  3. Compatibility: Ensure interface alignment (USB, PCIe) and software support (LabVIEW, MATLAB).
  4. Scalability: Modular systems allow future expansion.
  5. Budget: Balance cost with precision needs (e.g., 24-bit ADCs for high-accuracy labs).

8. Industry Trends

Future DAQ systems will emphasize:

  • Smart Integration: AI-driven edge computing for real-time analytics.
  • Wireless DAQ: IoT-enabled systems with 5G/Wi-Fi 6 connectivity.
  • Miniaturization: MEMS-based sensors reducing DAQ size.
  • High-Speed ADCs: Adoption of 10+ GSPS converters for 5G and radar testing.
  • Cloud Compatibility: Direct integration with cloud platforms (AWS, Azure) for remote monitoring.
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