How to effectively monitor and streamline testing using a DAQ
Manufacturing and field operations generate a high volume of data, and they are also fueling growth in the use of smart remote sensing and the Industrial Internet of Things (IIoT). The data that is generated gives users visibility into their operations in real time or near real time to help them make decisions quickly. Time is a critical factor when high-volume production lines go down, electrical distribution stations trip causing massive blackouts, and traffic bottlenecks trigger accidents along frequently traveled roads.
Smart remote sensing and the IIoT have spurred the use of data acquisition (DAQ) systems worldwide. A DAQ system consists of sensors, hardware, and software that collect, store, and, to some extent, pre-process data that becomes useful for analysis. The DAQ market was estimated at $1.71 billion in 2022 and is expected to grow at a cumulative average rate of 5.6% from 2023 to 2028, according to Stratview Research DAQ market analysis report.
This white paper discusses how to effectively monitor and streamline testing using a DAQ. First, we will address using a DAQ to monitor your process or product.
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