How Soft Sensing Using Simulation Enhances Plant Process Management

One novel approach to soft sensing is to use a high fidelity online dynamic simulation model connected to the plant information system. In this approach, the dynamic simulator takes a direct feed of information from the plant process instrumentation and control system, and can then predict process parameters that are not physically measured in the plant. The model can also estimate key equipment and process performance indicators, which can be archived in the plant historian system and used in generating performance dashboards and reports. This white paper highlight how a dynamic simulator-based, online soft sensing system can provide a cost-effective alternative to physical measurement in non-critical sections, where requirements are not as stringent as the main process plant.