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5.7 Smart Sensors                                                             111


                                  Sensing                                      Analog
                                  element                Amp                   process
                  Measurand
                                                             Monitoring
                        Excitation        Self-test
                        control

                                     Control               Memory             Data
                                     processor                                conversion




                                          Data                     Digital
                                          comms                    process





                                                         Sensor bus
                  Figure 5.20  Elements of a smart sensor.



                      Amplification is usually a fundamental requirement, as most sensors tend to
                  produce signal levels that are significantly lower than those used in the digital
                  processor. Resistive sensors in a bridge configuration often require an instrumenta-
                  tion amplifier; piezoelectric devices may need a charge amplifier. If possible, it is
                  advantageous to have the gain as close as possible to the sensing element. In
                  situations where a high gain is required, there can often be implications for han-
                  dling any adverse effects such as noise. In terms of chip layout, the sharp transients
                  associated with digital signals need to be kept well away from the front-end analog
                  circuitry.
                      Examples of analog processing include antialiasing filters for the conversion
                  stage. In situations where real-time processing power is limited, there may also be
                  benefits in implementing analog filters.
                      Data conversion is the transition region between the continuous (real-world)
                  signals and the discrete signals associated with the digital processor. Typically, this
                  stage comprises an analog-to-digital converter (ADC). Inputs from other sensors
                  (monitoring) can be fed into the data conversion subsystem and may be used to
                  implement compensation, say for temperature. Note that such signals may also
                  require amplification before data conversion. Resonant sensors, whose signals are
                  in the frequency domain, do not need a data conversion stage as their outputs can
                  often be fed directly into the digital system.
                      The digital processing element mainly concerns the software processes within
                  the smart sensor. These may be simple routines such as those required for imple-
                  menting sensor compensation (linearization, cross-sensitivity, offset), or they may
                  be more sophisticated techniques such as pattern recognition methods (such as neu-
                  ral networks) for sensor array devices.
                      The data communications element deals with the routines necessary for pass-
                  ing and receiving data and control signals to the sensor bus. It is often the case that
                  the smart sensor is a single device within a multisensor system. Individual sensors
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