Data acquisition is in fact meaningless without the proper interpretation of acquired data. As stated at the beginning of this book, data acquisition consists of converting a real-life phenomenon into computer-understandable and human-interpretable data. When we acquire a temperature using a sensor and a DAQ, at one point or another we are converting a voltage (or a current value) into a temperature as adegree. In this process, a sensor that is calibrated within a given specification and accuracy range is connected to a DAQ, which in turn converts the received data (as an input) and communicates the output to a software that ultimately presents it in a human-understandable form; not to oversee the accuracy of the DAQ and the software representation.
What we do in real life is measure the accuracy of a sensor, a measuring device, or a DAQ in our system against another one, that we have more data for and trust more.
In the following...
