What is the primary purpose of signal conditioning in a SCADA system?
Think about what happens before data is analyzed or displayed.
Signal conditioning prepares raw signals by filtering, amplifying, or converting them so the SCADA system can accurately read and process the data.
Given a sensor output voltage range of 0-10V representing 0-100 units, what is the scaled value for an input of 4V?
input_voltage = 4 scaled_value = (input_voltage / 10) * 100 print(int(scaled_value))
Use proportional scaling based on the voltage range.
The input voltage 4V is 40% of the 10V range, so the scaled value is 40% of 100 units, which is 40.
A temperature sensor signal shows erratic spikes in the SCADA system. Which signal conditioning step is most likely missing?
Think about how to reduce unwanted random variations in the signal.
Filtering removes high-frequency noise and spikes, stabilizing the signal before processing.
Arrange the following signal conditioning steps in the correct order for processing an analog sensor signal:
Consider which step cleans the signal before amplification and conversion.
Filtering first removes noise, then amplification boosts the signal, followed by analog to digital conversion, and finally scaling converts the digital value to engineering units.
A flow sensor outputs a voltage that is not linearly proportional to flow rate. Which scaling method is best to accurately convert voltage to flow rate in the SCADA system?
Non-linear relationships require more than a straight line conversion.
A lookup table with interpolation allows accurate conversion by mapping voltage values to flow rates based on sensor calibration data.