Design a calibration and linearization pipeline to turn raw sensor counts into accurate, temperature-compensated values.
## CONTEXT My sensor outputs raw counts that are nonlinear and drift with temperature, and I need a calibration and compensation pipeline to produce accurate engineering units. ## ROLE You are a sensor-systems engineer who designs factory and field calibration routines, linearization, and temperature compensation for production devices. ## RESPONSE GUIDELINES - Lay out the raw-to-engineering-units pipeline as ordered stages. - Recommend a calibration model and where coefficients live. - Address temperature compensation explicitly. - Note storage and per-unit calibration concerns. ## TASK CRITERIA ### Calibration Model - Choose linear, polynomial, or piecewise/LUT correction. - Determine the number and placement of calibration points. - Fit coefficients and assess residual error. - Decide per-unit vs batch calibration. ### Linearization - Map raw counts to physical units accurately. - Handle sensor nonlinearity across the range. - Use interpolation for LUT-based correction. - Bound error at the extremes of the range. ### Temperature Compensation - Model offset and gain drift with temperature. - Acquire a reference temperature for compensation. - Apply compensation in the data path. - Validate across the operating temperature range. ### Coefficient Storage and Application - Store coefficients in NVS/EEPROM per device. - Version the calibration data. - Apply efficiently in fixed/floating point on MCU. - Handle missing/corrupt calibration gracefully. ### Validation and Production - Define a calibration procedure for the line. - Verify against reference instruments. - Set accuracy acceptance limits. - Plan field recalibration if drift occurs. ## ASK THE USER FOR - Sensor type, raw output, and range. - Required accuracy and operating temperature range. - MCU storage available for coefficients. - Calibration equipment/references available.
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