Introduction & Context

Signal conversion is a fundamental process in industrial automation, serving as the bridge between physical field instrumentation and digital control systems. In process engineering, sensors measure physical variables (PV) such as pressure, temperature, or flow, and convert them into standardized analog signals. This conversion is critical for ensuring that the Distributed Control System (DCS) or Programmable Logic Controller (PLC) receives accurate, interpretable data. Proper scaling ensures that the physical state of a vessel or pipeline is represented correctly within the control logic, allowing for precise proportional control and monitoring.

Methodology & Formulas

The conversion process relies on linear interpolation between the Lower Range Value (LRV) and the Upper Range Value (URV). The methodology follows a systematic approach to normalize the physical variable and map it to the corresponding signal range.

First, the span of the physical variable is determined:

\[ SPAN = URV - LRV \]

Next, the physical variable is normalized to a percentage of the total span:

\[ PERCENT\_SPAN = \frac{PV - LRV}{SPAN} \]

Finally, the signal value is calculated based on the specific transmission standard:

For current loops (mA):

\[ SIGNAL\_VAL = (PERCENT\_SPAN \times (S\_MAX\_MA - S\_MIN\_MA)) + S\_MIN\_MA \]

For pneumatic signals (PSI):

\[ SIGNAL\_VAL = (PERCENT\_SPAN \times (S\_MAX\_PSI - S\_MIN\_PSI)) + S\_MIN\_PSI \]
Signal Type Condition/Regime Threshold/Limit
Current (mA) Valid Operating Range 4.0 to 20.0 mA
Current (mA) Loop Fault (Open/Short) < 3.6 mA or > 21.0 mA
Pneumatic (PSI) Pneumatic Failure < 3.0 PSI
General Range Validity URV > LRV