Classifier-Based Process Variable Measurement Selection

The field device is equipped with multiple measurement methods (first method and second method) for determining the same process variable, enabling the device to handle diverse media and applications universally. The classifier automatically selects the appropriate measurement method based on medium properties, making a single device suitable for multiple applications without requiring separate specialized devices for each measurement scenario.

The classifier automatically evaluates medium properties (such as conductivity, viscosity, or other predefinable properties) and autonomously selects the most appropriate measurement method from the available options. This self-service mechanism eliminates the need for manual configuration or complex control systems, allowing the device to reliably adapt to different media while keeping the operational complexity manageable through automated decision-making.

The classifier is pre-trained with knowledge about the characteristics of different media and the suitability of various measurement methods for specific medium properties. This preliminary preparation allows the classifier to quickly and accurately select the appropriate measurement method when deployed, enhancing adaptability without requiring complex real-time computations or extensive training data during operation. The heavy computational work is performed in advance during the training phase.