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Data Acquisition (DAQ)

Image Part Number Description / PDF Quantity Rfq
D1322M

D1322M

DGH Corporation

K-TYPE IN,RS-485 OUT, MODBUS RTU

15
D3132M

D3132M

DGH Corporation

+/-5V OUT, RS-485 IN, MODBUS RTU

15
D1132M

D1132M

DGH Corporation

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

15
D5251M

D5251M

DGH Corporation

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

15
D1141M

D1141M

DGH Corporation

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

14
D1251M

D1251M

DGH Corporation

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

15
D5142M

D5142M

DGH Corporation

+/-10VIN, 4CH, RS-485,MODBUS RTU

15
D3252M

D3252M

DGH Corporation

4-20MA OUT,RS-485 IN, MODBUS RTU

15
D1131M

D1131M

DGH Corporation

+/-5VIN, RS-232 OUT, MODBUS RTU

15
D2251

D2251

DGH Corporation

4-20MA IN, RS-232, PROGRAMMABLE

15
D1321M

D1321M

DGH Corporation

K-TYPE IN,RS-232 OUT, MODBUS RTU

15
D1252M

D1252M

DGH Corporation

4-20MA INPUT, RS-485 OUT, MODBUS

15
D2252

D2252

DGH Corporation

4-20MA IN, RS-485, PROGRAMMABLE

15
D5141M

D5141M

DGH Corporation

+/-10VIN, 4CH, RS-232,MODBUS RTU

15
D6400

D6400

DGH Corporation

ANALOG INPUT, 7-CH, MODBUS RTU

5
D7500

D7500

DGH Corporation

ANALOG OUTPUT, 2-CH, MODBUS TCP

5
D5321M

D5321M

DGH Corporation

K-TYPE IN, 4CH, RS-232, MODBUS

15
D3251M

D3251M

DGH Corporation

4-20MA OUT,RS-232 IN, MODBUS RTU

15
D3141M

D3141M

DGH Corporation

+/-10VOUT, RS-232 IN, MODBUS RTU

15
D3131M

D3131M

DGH Corporation

+/-5V OUT, RS-232 IN, MODBUS RTU

15

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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