From physical quantity to trustworthy process data

Understand industrial measurement from sensor to control system

A process value becomes useful only after the sensing element, transmitter, signal path, input system, scaling and data quality all work together. This site follows that complete measurement chain.

A simplified measurement chain
Processpressure · temperature · flow · level
Sensorphysical effect becomes a measurable response
Transmitterconditions and scales the measurement
I/O / DAQdigitizes and delivers the value
Control / historianuses, displays and records the value
4–20 mAanalog
HARTdigital overlay
Fieldbusnetworked
DAQsampled data
The core idea

A measurement is a chain of transformations

The display may show one number, but that number depends on process connection, sensing principle, signal conditioning, calibration, environmental effects, conversion, scaling and data handling. Understanding the chain makes troubleshooting and specification much easier.

MeasurandThe quantity intended to be measured, with a defined condition and context.
SensorResponds to a physical phenomenon such as resistance, strain, pressure differential or electromagnetic induction.
TransmitterConverts the sensor response into a standardized, conditioned or digital output.
Signal pathWiring, isolation, network, input modules and configuration carry the value onward.
Measurement resultScaling, calibration status, uncertainty and process context determine how much confidence to place in the value.
Interactive

Scale a 4–20 mA signal

Convert a loop current into engineering units for any linear configured range.

Open the 4–20 mA calculator →
Calibration aid

Calculate indication error

Compare an indicated value with a reference value and express the difference as raw error, percent of reading and percent of full-scale span.

Open the error calculator →