Soft-sensor
Definition
A soft-sensor is a software-based approach that estimates unmeasured process variables by using mathematical models and data from secondary physical sensors.
Key Characteristics
- Utilizes mathematical models to approximate physical measurements.
- Operates as a software proxy for direct hardware sensors.
- Facilitates real-time monitoring of variables that are difficult or expensive to measure directly (e.g., chemical toxicity).
- Enables the integration of telemetry data into Digital Resonance and predictive modeling environments.
- Enhances process optimization without requiring invasive hardware infrastructure changes.
Applications
- Environmental monitoring within Smart Fabs, such as tracking water usage intensity.
- Enhancing resource circularity in industrial processes.
- Providing data streams for Digital Resonance and predictive maintenance frameworks.
- Monitoring chemical toxicity in closed-loop systems.
Mentions in Source
- “This is evaluated by architecting a hardware-isolated system-of-systems structure where physical and soft-sensor data streams are secured and processed in TEE enclaves, preventing data tempering.” — _id-372_current_version