A thermocouple is made by joining together two dissimilar metals in a vee-junction.
This assembly is a heat to voltage transducer, when the junction is heated, a voltage appears across terminal A-B. This occurs becouse of a difference in the work function of the 2 metals forming the thermocouple.
This voltage is nonlinear at extremes, but it proves sonably linear in the center of its range.
Sensitive Instruments
Nature low range pressure sensors are very sensitive instruments and there a few factors that need to be considered prior to and during installation. They may look as robust as any other pressure sensor on the outside housed in a high IP rated stainless steel case, but inside there is a very thin diaphragm which is highly sensitive to acceleration and mechanical stress
Resolution
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 atoms and molecules.
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 atoms and molecules.
Geodetic sensors
Geodetic sensors
Geodetic measuring devices measure georeferenced displacements or movements in one, two or three dimensions. It includes the use of instruments such as total stations, levels and global navigation satellite system receivers.
Biological Sensor
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:
light, motion, temperature, magnetic fields, gravity, humidity, vibration, pressure, electrical fields, sound, and other physical aspects of the external environment;
physical aspects of the internal environment, such as stretch, motion of the organism, and position of appendages (proprioception);
an enormous array of environmental molecules, including toxins, nutrients, and pheromones;
many aspects of the internal metabolic milieu, such as glucose level, oxygen level, or osmolality;
an equally varied range of internal signal molecules, such as hormones, neurotransmitters, and cytokines;
and even the differences between proteins of the organism itself and of the environment or alien creatures.
Artificial sensors that mimic biological sensors by using a biological sensitive component, are called biosensors.
The human senses are examples of specialized neuronal sensors. See Sense.
Measurement Errors
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
Ideal sensors are designed to be linear. The output signal of such a sensor is linearly proportional to the value of the measured property. The sensitivity 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 sensitivity is a constant with the unit [V/K]; this sensor is linear because the ratio is constant at all points of measurement.
If the sensor is not ideal, several types of deviations can be observed:
The sensitivity may in practice differ from the value specified. This is called a sensitivity error, but the sensor is still linear.
Since the range of the output signal is always limited, the output signal will eventually reach a minimum or maximum when the measured property exceeds the limits. The full scale range defines the maximum and minimum values of the measured property.
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 sensitivity is not constant over the range of the sensor, this is called nonlinearity. Usually this is defined by the amount the output differs from ideal behavior 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 sensitivity 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 when the measured property reverses direction, but there is some finite lag in time for the sensor to respond, creating a different offset error in one direction than in the other.
If the sensor has a digital output, the output 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 can cause a dynamic error.
The sensor may to some extent be sensitive to properties other 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 atoms and molecules.
Measurement Errors
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
Ideal sensors are designed to be linear. The output signal of such a sensor is linearly proportional to the value of the measured property. The sensitivity 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 sensitivity is a constant with the unit [V/K]; this sensor is linear because the ratio is constant at all points of measurement.
If the sensor is not ideal, several types of deviations can be observed:
The sensitivity may in practice differ from the value specified. This is called a sensitivity error, but the sensor is still linear.
Since the range of the output signal is always limited, the output signal will eventually reach a minimum or maximum when the measured property exceeds the limits. The full scale range defines the maximum and minimum values of the measured property.
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 sensitivity is not constant over the range of the sensor, this is called nonlinearity. Usually this is defined by the amount the output differs from ideal behavior 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 sensitivity 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 when the measured property reverses direction, but there is some finite lag in time for the sensor to respond, creating a different offset error in one direction than in the other.
If the sensor has a digital output, the output 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 can cause a dynamic error.
The sensor may to some extent be sensitive to properties other 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.
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
Ideal sensors are designed to be linear. The output signal of such a sensor is linearly proportional to the value of the measured property. The sensitivity 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 sensitivity is a constant with the unit [V/K]; this sensor is linear because the ratio is constant at all points of measurement.
If the sensor is not ideal, several types of deviations can be observed:
The sensitivity may in practice differ from the value specified. This is called a sensitivity error, but the sensor is still linear.
Since the range of the output signal is always limited, the output signal will eventually reach a minimum or maximum when the measured property exceeds the limits. The full scale range defines the maximum and minimum values of the measured property.
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 sensitivity is not constant over the range of the sensor, this is called nonlinearity. Usually this is defined by the amount the output differs from ideal behavior 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 sensitivity 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 when the measured property reverses direction, but there is some finite lag in time for the sensor to respond, creating a different offset error in one direction than in the other.
If the sensor has a digital output, the output 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 can cause a dynamic error.
The sensor may to some extent be sensitive to properties other 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.
Initialized systems
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.
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.
Other types
Other types
motion sensors: radar gun, speedometer, tachometer, odometer, occupancy sensor, turn coordinator
orientation sensors: gyroscope, artificial horizon, ring laser gyroscope
distance sensor (noncontacting) Several technologies can be applied to sense distance: magnetostriction
motion sensors: radar gun, speedometer, tachometer, odometer, occupancy sensor, turn coordinator
orientation sensors: gyroscope, artificial horizon, ring laser gyroscope
distance sensor (noncontacting) Several technologies can be applied to sense distance: magnetostriction
Acoustic
Acoustic
acoustic : uses ultrasound 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 Navigation And Ranging) systems in naval applications which mostly use audible sound frequencies.
sound sensors : microphones, hydrophones, seismometers.
Ionising radiation
Ionising radiation
radiation sensors: Geiger counter, dosimeter, Scintillation counter, Neutron detection
subatomic particle sensors: Particle detector, scintillator, Wire chamber, cloud chamber, bubble chamber. See Category:Particle detectors
radiation sensors: Geiger counter, dosimeter, Scintillation counter, Neutron detection
subatomic particle sensors: Particle detector, scintillator, Wire chamber, cloud chamber, bubble chamber. See Category:Particle detectors
Optical radiation
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.
light sensors, or photodetectors, including semiconductor devices such as photocells, photodiodes, phototransistors, CCDs, and Image sensors; vacuum tube devices like photo-electric tubes, photomultiplier tubes; and mechanical instruments such as the Nichols radiometer.
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.
scintillometers measure atmospheric optical disturbances.
fiber optic sensors.
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 motors.
Chemical
Chemical
Chemical proportion sensors: oxygen sensors, ion-selective electrodes, pH glass electrodes, redox electrodes, and carbon monoxide detectors.
What is Chemical Imaging Sensor ?
by Iwasaki Laboratory
The chemical imaging sensor is a new tool for visualizing the distribution of pH, concentration of specific ions and redox potential in electrolytic specimens.
The chemical imaging sensor is based on the principle of the Light-Addressable Potentiometric Sensor (LAPS). It consists of an Electrolyte-Insulator-Semiconductor (EIS) structure. The width of the depletion layer in the semiconductor is dependent on the surface charge of the insulating layer, which is a map of the distribution of chemical species in the electrolytic specimen. The rear surface of the Si substrate is scanned with a modulated laser beam, and chemical images can be obtained by measuring the amplitude of the AC photocurrent as a function of the position.
Chemical Imaging Sensor Family
pH-Imaging Sensor
Enzyme Chemical Imaging Sensor
Redox Potential Imaging Sensor
Examples
Detection of microorganisms
Observation of chemical waves (in preparation)
Observation of neurons
Chemical proportion sensors: oxygen sensors, ion-selective electrodes, pH glass electrodes, redox electrodes, and carbon monoxide detectors.
What is Chemical Imaging Sensor ?
by Iwasaki Laboratory
The chemical imaging sensor is a new tool for visualizing the distribution of pH, concentration of specific ions and redox potential in electrolytic specimens.
The chemical imaging sensor is based on the principle of the Light-Addressable Potentiometric Sensor (LAPS). It consists of an Electrolyte-Insulator-Semiconductor (EIS) structure. The width of the depletion layer in the semiconductor is dependent on the surface charge of the insulating layer, which is a map of the distribution of chemical species in the electrolytic specimen. The rear surface of the Si substrate is scanned with a modulated laser beam, and chemical images can be obtained by measuring the amplitude of the AC photocurrent as a function of the position.
Chemical Imaging Sensor Family
pH-Imaging Sensor
Enzyme Chemical Imaging Sensor
Redox Potential Imaging Sensor
Examples
Detection of microorganisms
Observation of chemical waves (in preparation)
Observation of neurons
Mechanical
Mechanical
pressure sensors: altimeter, barometer, barograph, pressure gauge, air speed indicator, rate-of-climb indicator, variometer
gas and liquid flow sensors: flow sensor, anemometer, flow meter, gas meter, water meter, mass flow sensor
gas and liquid viscosity and density: viscometer, hydrometer, oscillating U-tube
mechanical sensors: acceleration sensor, position sensor, selsyn, switch, strain gauge
humidity sensors: hygrometer
Electromagnetic
Electromagnetic
electrical resistance sensors: ohmmeter, multimeter
electrical current sensors : galvanometer, ammeter
electrical voltage sensors : leaf electroscope, voltmeter
electrical power sensors : watt-hour meters
magnetism sensors : magnetic compass, fluxgate compass, magnetometer, Hall effect device
metal detectors
RADAR
electrical resistance sensors: ohmmeter, multimeter
electrical current sensors : galvanometer, ammeter
electrical voltage sensors : leaf electroscope, voltmeter
electrical power sensors : watt-hour meters
magnetism sensors : magnetic compass, fluxgate compass, magnetometer, Hall effect device
metal detectors
RADAR
Thermal
Because sensors are a type of transducer, they change one form of energy into another. For this reason, sensors can be classified according to the type of energy transfer that they detect.
Thermal
temperature sensors: thermometers, thermocouples, temperature sensitive resistors (thermistors and resistance temperature detectors), bi-metal thermometers and thermostats
heat sensors: bolometer, calorimeter
Thermal
temperature sensors: thermometers, thermocouples, temperature sensitive resistors (thermistors and resistance temperature detectors), bi-metal thermometers and thermostats
heat sensors: bolometer, calorimeter
Sensor Types
1.1 Thermal
1.2 Electromagnetic
1.3 Mechanical
1.4 Chemical
1.5 Optical radiation
1.6 Ionising radiation
1.7 Acoustic
1.8 Other types
1.8.1 Non Initialized systems
1.8.2 Initialized systems
1.2 Electromagnetic
1.3 Mechanical
1.4 Chemical
1.5 Optical radiation
1.6 Ionising radiation
1.7 Acoustic
1.8 Other types
1.8.1 Non Initialized systems
1.8.2 Initialized systems
Sensor Definition (wikipedia)
A SENSOR is a device which measures a physical quantity and converts it into a signal which can be read by an observer or by an instrument. For example, a mercury thermometer converts the measured temperature into expansion and contraction of a liquid which can be read on a calibrated glass tube. A thermocouple converts temperature to an output voltage which can be read by a voltmeter. For accuracy, all sensors need to be calibrated against known standards.
Sensors are used in everyday objects such as touch-sensitive elevator buttons and lamps which dim or brighten by touching the base. There are also innumerable applications for sensors of which most people are never aware. Applications include automobiles, machines, aerospace, medicine, industry, and robotics.
A sensor's sensitivity indicates how much the sensor's output changes when the measured quantity changes. For instance, if the mercury in a thermometer moves 1cm when the temperature changes by 1°, the sensitivity is 1cm/1°. Sensors that measure very small changes must have very high sensitivities.
Technological progress allows more and more sensors to be manufactured on a microscopic scale as microsensors using MEMS technology. In most cases, a microsensor reaches a significantly higher speed and sensitivity compared with macroscopic approaches.
Sensors are used in everyday objects such as touch-sensitive elevator buttons and lamps which dim or brighten by touching the base. There are also innumerable applications for sensors of which most people are never aware. Applications include automobiles, machines, aerospace, medicine, industry, and robotics.
A sensor's sensitivity indicates how much the sensor's output changes when the measured quantity changes. For instance, if the mercury in a thermometer moves 1cm when the temperature changes by 1°, the sensitivity is 1cm/1°. Sensors that measure very small changes must have very high sensitivities.
Technological progress allows more and more sensors to be manufactured on a microscopic scale as microsensors using MEMS technology. In most cases, a microsensor reaches a significantly higher speed and sensitivity compared with macroscopic approaches.
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