The major issues in sensor selection are summarized in
the following. The relative importance
of each issue depends upon the specific application; for example, one
application might require excellent accuracy, while another might require only
moderate accuracy, but high reliability.
Generally, we find that the greater the requirements for good
performance, the higher the cost for purchase and maintenance. Therefore, we
must find the proper balance of performance and cost, rather than always
specify the best performing sensor.
ISSUE
|
COMMENTS
|
|
·
Accuracy - Accuracy is the degree of conformity of the measured
value with the accepted standard or ideal value, which we can take as the
true physical variable. Accuracy is
usually reported as a range of maximum inaccuracy. These ranges should have a significance
level, such as 95% of the measurements will be within the inaccuracy range.
Accuracy is needed for some variables, such as
product quality, but it is not required for others
such as level in a large storage tank.
See Section 24.3 in Marlin (2000) for a discussion on the needs of
sensor accuracy.
|
Accuracy
is usually expressed in engineering units or as a percentage of the sensor
range, for example:
Thermocouple
temperature sensor with accuracy of ± 1.5 K.
Orifice
flow meters with accuracy of ±3% of maximum flow range.
|
|
·
Repeatability – The closeness of agreement among a number of
consecutive measurements of the same variable (value) under the same
operating conditions, approaching in the same direction.
|
The
term “approaching in the same direction” means that the variable is
increasing (decreasing) to the value for all replications of the experiment.
|
|
·
Reproducibility – The closeness of agreement among a number of
consecutive measurements of the same variable (value) under the same
operating conditions over a period of time, approaching from both
directions. This is usually expressed
as non-reproducibility as a percentage of range (span).
Often, an important balance is between accuracy and
reproducibility, with the proper choice depending on each process
application.
|
The
period of time is “long”, so that changes occurring over longer times of
plant operation are included.
Reproducibility
includes hysteresis, dead band, drift and repeatability.
|
|
·
Range/Span - Most sensors have a limited range over which a
process variable can be measured, defined by the lower and upper range
values. Usually, the larger the range,
the poorer the accuracy, and reproducibility.
Therefore, engineers select the smallest range that satisfies the
process requirements.
We select ranges that are easily interpreted by
operating personnel, such as 100-200 °C, but not 100-183 °C.
|
If
a chemical reactor typically operates at 300 °C, the engineer might select a range of 250-350 °C.
Since
the reactor will be started up from ambient temperature occasionally, an
additional sensor should be provided with a range of -50 to 400 °C.
|
|
·
Reliability – Reliability is the probability that a device will
adequately perform (as specified) for a period of time under specified operating
conditions. Some sensors are required
for safety or product quality, and therefore, they should be very
reliable. Reliability is affected by
maintenance and consistency with process environment. Also, some sensors are protected from
contact with corrosive process environment by a cover or sheath (e.g., a
thermowell for a thermocouple), and some sensors require a sample to be
extracted from the process (e.g., a chromatograph).
|
If
sensor reliability is very important, the engineer can provide duplicate
sensors, so that a single failure does not require a process shutdown. See Chapter 22 in Marlin (2000) for the use
of duplicate sensors in process control.
|
|
·
Linearity - This is the closeness to a straight line of the
relationship between the true process variable and the measurement. Lack of linearity does not necessarily
degrade sensor performance. If the
nonlinearity can be modeled and an appropriate correction applied to the
measurement before it is used for monitoring and control, the effect of the
non-linearity can be eliminated.
Typical examples of compensating calculations are the square root
applied to the orifice flow sensor and the polynomial compensation for a
thermocouple temperature sensor. The
engineer should not assume that a compensation for non-linearity has been
applied, especially when taking values from a history database, which does
not contain details of the measurement technology.
|
Linearity
is usually reported as non-linearity, which is the maximum of the deviation
between the calibration curve and a straight line positioned so that the
maximum deviation is minimized.
See
ISA (1979) for further details and several alternative definitions of
linearity.
|
|
·
Maintenance - Sensors require occasional
testing and replacement of selected components that can wear. Engineers must know the maintenance
requirements so that they can provide adequate spare parts and personnel
time. Naturally, the maintenance costs
must be included in the economic analysis of a design.
|
On-stream
analyzers usually require the greatest amount of maintenance. The cost associated with maintenance can be
substantial and should not be overlooked in the economic analysis.
|
|
·
Consistency with process environment - Most sensors will function properly for specific
process conditions. For example, many
flow sensors function for a single phase, but not for multi-phase fluid flow,
whether vapor-liquid or slurry. The
engineer must observe the limitations for each sensor.
Some sensors can have direct contact with the
process materials, while others must be protected. Three general categories are given in the
following.
Naturally, the parts of the sensor that contact the
process must be selected appropriately to resist corrosion or other
deleterious effects.
|
A
float can indicate the interface for a liquid level. However, a float is not reliable for a
“sticky” liquid.
Also,
a turbine flow meter can be damaged by a rapid change in flow rate or liquid
entrained in a vapor stream.
Sensors
in direct contact must not be degraded by the process material.
The
sheath usually slows the sensor response.
Samples
must represent the fluid in the process.
|
|
·
Dynamics - The use of the sensor
dictates the allowable delay in the sensor response. When the measured value is used for
control, sensor delays should be minimized, while sensors used for monitoring
longer-term trends can have some delay.
|
A
greater delay is associated with sensors that require a sample to be
extracted from the process.
On-stream
analyzers usually have the longest delays, which are caused by the time for
analysis.
|
|
·
Safety - The sensor and
transmitter often require electrical power. Since the sensor is located at the process
equipment, the environment could contain flammable gases, which could explode
when a spark occurs.
|
Standards
for safety have been developed to prevent explosions. These standards prevent a significant power
source, oxidizing agent and flammable gas from being in contact.
|
|
·
Cost
- Engineers must always consider cost
when making design and operations decisions.
Sensors involve costs and when selected properly, provide
benefits. These must be quantified and
a profitability analysis performed.
In some cases, a sensor can affect the operating
costs of the process. An example is a
flow sensor. In some situations, the
pumping (or compression) costs can be high, and the pressure drop occurring
because of the sensor can significantly increase the pumping costs. In such situations, a flow sensor with a
low (non-recoverable) pressure drop is selected.
|
Remember
that the total cost includes costs of transmission (wiring around the plant),
installation, documentation, plant operations, and maintenance over the life
of the sensor.
See
a reference on engineering economics to learn how to consider costs over
time, using principles of the time value of money and profitability measures.
|
No comments:
Post a Comment
Note: Only a member of this blog may post a comment.