3.2.2 Errors due to environmental
inputs
An environmental input is defined as
an apparently real input to a measurement system that is actually caused by a
change in the environmental conditions surrounding the measurement system. The
fact that the static and dynamic characteristics specified for measuring
instruments are only valid for particular environmental conditions (e.g. of
temperature and pressure) has already been discussed at considerable length in
Chapter 2. These specified conditions must be reproduced as closely as possible
during calibration exercises because, away from the specified calibration
conditions, the char[1]acteristics of
measuring instruments vary to some extent and cause measurement errors. The
magnitude of this environment-induced variation is quantified by the two
constants known as sensitivity drift and zero drift, both of which are
generally included in the published specifications for an instrument. Such
variations of environmental conditions away from the calibration conditions are
sometimes described as modifying inputs to the measurement system because they
modify the output of the system. When such modifying inputs are present, it is
often difficult to determine how much of the output change in a measurement
system is due to a change in the measured variable and how much is due to a
change in environmental conditions. This is illustrated by the following
example. Suppose we are given a small closed box and told that it may contain either
a mouse or a rat. We are also told that the box weighs 0.1 kg when empty. If we
put the box onto bathroom scales and observe a reading of 1.0 kg, this does not
immediately tell us what is in the box because the reading may be due to one of
three things:
(a) a 0.9 kg rat in the box (real
input)
(b) an empty box with a 0.9 kg bias
on the scales due to a temperature change (envi[1]ronmental
input)
(c) a 0.4 kg mouse in the box
together with a 0.5 kg bias (real + environmental inputs).
Thus, the magnitude of any
environmental input must be measured before the value of the measured quantity
(the real input) can be determined from the output reading of an instrument.
In any general measurement situation, it is
very difficult to avoid environmental inputs, because it is either impractical
or impossible to control the environmental condi[1]tions
surrounding the measurement system. System designers are therefore charged with
the task of either reducing the susceptibility of measuring instruments to environmental
inputs or, alternatively, quantifying the effect of environmental inputs and
correcting for them in the instrument output reading. The techniques used to
deal with envi[1]ronmental inputs
and minimize their effect on the final output measurement follow a number of
routes as discussed below.
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