Developing an Opacity Sensor :: Opacity Sensors Technology Essays

Developing an opacity SensorThere is a huge range of different sensors in this world, designed to happen upon changes in temperature, size, distance and many other primalfactors.Their ability to do this makes them valuable for use in industry, inparticular, merchandise processes.I meet chosen to develop a sensor which measures the soaking up ofsolution, suitable for the factory production of pre-diluted fruitsquashes. The sensor feces harbor the machinery via a servo-mechanism,indicating whether more squash needs to be added.The context in which my sensor is to be used is an importantconsideration as it determines a suitable sensitivity and resolution.Factors to consider when designing a sensor aesthesiaThe ratio of change of payoff to change of input. A very in the buffsensor go away give a big change of output for a refined change of input. Asensor which learns very small changes of input pass on need to be verysensitive so these changes raft be observed.ResolutionThe smallest change the sensor can detect in the quantity it ismeasuring. If you had a quantity which was displayed as 0.0076, thissensor would have quite a high resolution (depending on what it wasmeasuring). If the last anatomy were fluctuating this would be themaximum resolution of the sensor as it can only just resolve a changeof that magnitude 10,000th.A cooks oven whitethorn only need a resolution of 5C whereas a babymonitoring system requires a resolution of 0.5 1C.Response timeThe time a sensor takes to respond to a change in input. If changesoccur more rapidly than this then they will usually be averaged out.The response time should be suitable to detect important changes asthey occur. SystematicMost sensors are affected by changes in temperature, even those thatarent designed to detect them. Some sensors whitethorn also be affected byother environmental changes depending on their methods of detection,for example a LDR might produce different tuitions on a sunny day ifthe whole system isnt enclosed. Such influences will produce readingsthat display the correct trend but each reading is erroneous by thesame amount. For this reason systematic errors are challenging to detectand an only by making another more immaculate amount. Today smartsystems process information to compensate for disturbing influences.Noise, hit-or-miss error, fluctuationsThe input signal may fluctuate or the sensor itself may generatenoise. Unsystematic variations are present in all observational dataand their size determines the reliability of the data and limits theprecision with which a measurement can be made. Taking an average overrepeated measurements can improve the final result