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A sensor is a type of Transducer . Direct-indicating sensors, for example, a Mercury Thermometer , are human-readable. Other sensors must be paired with an indicator or display, for instance a Thermocouple . Most sensors are Electrical or Electronic , although other types exist.

Sensors are used in everyday life. Applications include automobiles, machines, aerospace, medicine, industry and robotics.

Technological progress allows more and more sensors to be manufactured on the Microscopic scale as microsensors using MEMS technology. In most cases a ''microsensor'' reaches a significantly higher speed and sensitivity compared with Macroscopic approaches. See also MEMS Sensor Generations .


TYPES

Since a significant small change involves an exchange of Energy , sensors can be classified according to the type of energy transfer that they detect.


Thermal



Electromagnetic



Mechanical




Chemical



Optical radiation


  • light time-of-flight. Used in modern surveying equipment, a short pulse of light is emitted and returned by a retroreflector. The return time of the pulse is proportional to the distance and is related to atmospheric density in a predictable way - see LIDAR .



  • Infra-red sensor, especially used as occupancy sensor for Lighting and environmental controls.


  • Proximity Sensor - A type of Distance sensor but less sophisticated. Only detects a specific proximity. May be optical - combination of a photocell and LED or laser. Applications in cell phones, paper detector in photocopiers, auto power standby/shutdown mode in notebooks and other devices. May employ a magnet and a Hall Effect device.

  • scanning laser- A narrow beam of laser light is scanned over the scene by a mirror. A photocell sensor located at an offset responds when the beam is reflected from an object to the sensor, whence the distance is calculated by Triangulation .


  • focus. A large aperture lens may be focused by a servo system. The distance to an in-focus scene element may be determined by the lens setting.


  • binocular. Two images gathered on a known baseline are brought into coincidence by a system of mirrors and prisms. The adjustment is used to determine distance. Used in some cameras (called range-finder cameras) and on a larger scale in early battleship range-finders


  • Interferometry . Interference ''fringes'' between transmitted and reflected lightwaves produced by a Coherent source such as a Laser are counted and the distance is calculated. Capable of extremely high precision.




  • short path optical interception - detection device consists of a Light-emitting Diode illuminating a Phototransistor , with the end position of a mechanical device detected by a moving flag intercepting the optical path, useful for determining an initial position for mechanisms driven by Stepper Motor s.



Ionising radiation






Acoustic

  • time-of-flight echo return. Used in mid 20th century polaroid cameras and applied also to robotics. Even older systems like Fathometers (and fish finders) and other 'Tactical Active' Sonar (Sound '''N'''avigation '''A'''nd '''R'''anging) systems in naval applications which mostly use audible sound frequencies.

  • s, Hydrophone s, Seismometer s.



Other types




Non Initialized systems

  • Gray Code strip or wheel- a number of photodetectors can sense a pattern, creating a binary number. The gray code is a mutated pattern that ensures that only one bit of information changes with each measured step, thus avoiding ambiguities.



Initialized systems

These require starting from a known distance and accumulate incremental changes in measurements.
  • Quadrature wheel- A disk-shaped optical mask is driven by a gear train. Two photocells detecting light passing through the mask can determine a partial revolution of the mask and the direction of that rotation.

  • Whisker sensor- A type of touch sensor and proximity sensor.



CLASSIFICATION OF MEASUREMENT ERRORS

A good sensor obeys the following rules:
# the sensor should be sensitive to the measured property
# the sensor should be insensitive to any other property
# the sensor should not influence the measured property

It is often ideal that the output signal of a sensor is proportional to the value of the measured property. The Gain is then defined as the ratio between output signal and measured property. For example, if a sensor measures temperature and has a voltage output, the gain is a constant with the unit {Link without Title} .

If the sensor is not ideal, several types of deviations can be observed:
  • The Gain may in practice differ from the value specified. This is called a gain error.

  • Since the range of the output signal is always limited, the output signal will eventually clip when the measured property exceeds the limits. The full scale range defines the outmost values of the measured property where the sensor errors are within the specified range.

  • If the output signal is not zero when the measured property is zero, the sensor has an Offset or ''' Bias '''. This is defined as the output of the sensor at zero input.

  • If the gain is not constant, this is called Nonlinearity . Usually this is defined by the amount the output differs from ideal behaviour over the full range of the sensor, often noted as a percentage of the full range.

  • If the deviation is caused by a rapid change of the measured property over time, there is a Dynamic error. Often, this behaviour is described with a Bode Plot showing gain error and phase shift as function of the frequency of a periodic input signal.

  • If the output signal slowly changes independent of the measured property, this is defined as Drift .

  • Long Term Drift usually indicates a slow degradation of sensor properties over a long period of time.

  • Noise is a random deviation of the signal that varies in time.

  • Hysteresis is an error caused by the fact that the sensor not instantly follows the change of the property being measured, and therefore involves the history of the measured property.

  • If the sensor has a digital output, the signal is discrete and is essentially an approximation of the measured property. The approximation error is also called Digitization error.

  • If the signal is monitored digitally, limitation of the Sampling Frequency also causes a dynamic error.

  • The sensor may to some extent be sensitive for other properties than the property being measured. For example, most sensors are influenced by the temperature of their environment.


All these deviations can be classified as Systematic Errors or Random Errors .
Systematic errors can sometimes be compensated for by means of some kind of Calibration strategy.
Noise is a random error that can be reduced by Signal Processing , such as filtering, usually at the expense of the dynamic behaviour of the sensor.


Resolution

The ''resolution'' of a sensor is the smallest change it can detect in the quantity that it is measuring. Often in a Digital Display , the least significant digit will fluctuate, indicating that changes of that magnitude are only just resolved. The resolution is related to the Precision with which the measurement is made.
For example, a Scanning Probe (a fine tip near a surface collects an electron tunnelling current) can resolve Atom s and Molecule s.


BIOLOGICAL SENSORS

All living organisms contain biological sensors with functions similar to those of the mechanical devices described. Most of these are specialized cells that are sensitive to:

Artificial sensors that mimic biological sensors by using a biological sensitive component, are called Biosensor s.

The Human Senses are examples of specialized Neuron al sensors. See Sense .


SEE ALSO







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