Today Glenair-120-125-12Y tiny make-up to introduce the seven sensor induction ways, everyone to see what you learn.
1. Proximity induction
Proximity sensing generally means detecting the presence of an object and its size or simple shape.
In operation, proximity sensors can be further classified as contact or non-contact, analog or digital. The choice of sensors depends on physical, environmental and control conditions.
2. Force sensing
There are six kinds of forces that may be induced. In each case, the application of force can be static or dynamic. A force is a vector because it must be specified in both magnitude and direction. Therefore, the force sensor is simulated operation and is sensitive to its direction of action. The six forces are tension, compression, shear, torsion, bending and friction.
3. Tactile sensing
Tactile sensation refers to sensing by touch. The simplest type of tactile sensor uses a simple array of touch sensors, which are commonly referred to as matrix sensors.
4. Thermal sensation
Thermal sensitivity may be required as part of process control or as a means of safety control. There are numerous methods to choose from, and the choice of these methods depends mainly on the temperature to be tested.
Common methods are: bimetallic strips, thermocouples, resistance thermometers, or thermistors. For more complex systems involving low-level heat sources, infrared thermal imagers can be used.
5. Sound Induction (Listening)
Acoustic sensors can detect and distinguish different sounds. They can be used to give verbal commands or identify abnormal sounds, such as explosions. The most common acoustic sensor is the microphone.
The obvious problem with acoustic sensors in industrial environments is the large amount of background noise.
6. Gas induction (smell)
Gas or smoke sensors that are sensitive to a particular gas depend on chemical changes in the materials contained in the sensor. Chemical changes create physical expansion or generate sufficient heat to trigger the switchgear.
7. Robot Vision (sight)
Vision is possibly the most active field in robot sensory feedback research.
Robot vision refers to the real-time capture and conversion of images into images by a camera in a form that can be analyzed by a computer system. This conversion generally means converting an image into a digital field that a computer can understand.