Data acquisition, or «DAQ», is the process of measuring physical phenomena such as temperature, pressure, or voltage, and converting them into a digital format for analysis. Where a single instrument might capture one fast event in detail, a DAQ system is built to watch dozens or hundreds of points continuously, over hours or days, and keep every reading.
From sensor to digital reading
A DAQ chain begins with sensors or transducers that translate a physical property into an electrical signal. That signal then passes through «signal conditioning», where it is filtered, amplified, or isolated to remove noise, before reaching the «Analog to Digital Converter» (ADC), which sets the resolution and sampling rate of the captured data. Modern DAQ software layers real-time visualisation and mathematical processing on top of this chain, across many channels at once.
Why modularity matters
A modular DAQ mainframe hosts interchangeable modules rather than being built for a single fixed task: a multiplexer module to switch between many input channels, a precision DMM module for the actual measurement, and signal conditioning specific to a given sensor type, whether that is a thermocouple, an RTD, or a strain gauge. This is what lets the same chassis serve very different applications simply by changing its module configuration.
Where DAQ systems are used
DAQ systems are the sensory backbone of research, industrial monitoring, and production testing: thermal profiling, battery and cell testing over long cycles, production line functional testing across many points, and long term structural or environmental monitoring.
ALLdata's DAQ range
ALLdata's catalog includes the modular Rigol M300 mainframe, paired with measurement modules such as the MC3065, designed for laboratories and production teams that need robust, multi-channel logging.
Planning a data acquisition system for a new test program? Talk to an ALLdata engineer, or browse our data acquisition solutions.