NetBSD/sys/dev/i2c/sensirion_voc_algorithm.h

192 lines
8.4 KiB
C

/*
* $NetBSD: sensirion_voc_algorithm.h,v 1.2 2022/09/25 12:41:46 andvar Exp $
*/
/*
* Copyright (c) 2021, Sensirion AG
* All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
*
* * Redistributions of source code must retain the above copyright notice, this
* list of conditions and the following disclaimer.
*
* * Redistributions in binary form must reproduce the above copyright notice,
* this list of conditions and the following disclaimer in the documentation
* and/or other materials provided with the distribution.
*
* * Neither the name of Sensirion AG nor the names of its
* contributors may be used to endorse or promote products derived from
* this software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
* AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
* ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE
* LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
* CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
* SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
* INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
* CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
* ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
* POSSIBILITY OF SUCH DAMAGE.
*/
#ifndef VOCALGORITHM_H_
#define VOCALGORITHM_H_
#include "sensirion_arch_config.h"
/* The fixed point arithmetic parts of this code were originally created by
* https://github.com/PetteriAimonen/libfixmath
*/
typedef int32_t fix16_t;
#define F16(x) \
((fix16_t)(((x) >= 0) ? ((x)*65536.0 + 0.5) : ((x)*65536.0 - 0.5)))
// Should be set by the building toolchain
#ifndef LIBRARY_VERSION_NAME
#define LIBRARY_VERSION_NAME "custom build"
#endif
#define VocAlgorithm_SAMPLING_INTERVAL (1.)
#define VocAlgorithm_INITIAL_BLACKOUT (45.)
#define VocAlgorithm_VOC_INDEX_GAIN (230.)
#define VocAlgorithm_SRAW_STD_INITIAL (50.)
#define VocAlgorithm_SRAW_STD_BONUS (220.)
#define VocAlgorithm_TAU_MEAN_VARIANCE_HOURS (12.)
#define VocAlgorithm_TAU_INITIAL_MEAN (20.)
#define VocAlgorithm_INIT_DURATION_MEAN ((3600. * 0.75))
#define VocAlgorithm_INIT_TRANSITION_MEAN (0.01)
#define VocAlgorithm_TAU_INITIAL_VARIANCE (2500.)
#define VocAlgorithm_INIT_DURATION_VARIANCE ((3600. * 1.45))
#define VocAlgorithm_INIT_TRANSITION_VARIANCE (0.01)
#define VocAlgorithm_GATING_THRESHOLD (340.)
#define VocAlgorithm_GATING_THRESHOLD_INITIAL (510.)
#define VocAlgorithm_GATING_THRESHOLD_TRANSITION (0.09)
#define VocAlgorithm_GATING_MAX_DURATION_MINUTES ((60. * 3.))
#define VocAlgorithm_GATING_MAX_RATIO (0.3)
#define VocAlgorithm_SIGMOID_L (500.)
#define VocAlgorithm_SIGMOID_K (-0.0065)
#define VocAlgorithm_SIGMOID_X0 (213.)
#define VocAlgorithm_VOC_INDEX_OFFSET_DEFAULT (100.)
#define VocAlgorithm_LP_TAU_FAST (20.0)
#define VocAlgorithm_LP_TAU_SLOW (500.0)
#define VocAlgorithm_LP_ALPHA (-0.2)
#define VocAlgorithm_PERSISTENCE_UPTIME_GAMMA ((3. * 3600.))
#define VocAlgorithm_MEAN_VARIANCE_ESTIMATOR__GAMMA_SCALING (64.)
#define VocAlgorithm_MEAN_VARIANCE_ESTIMATOR__FIX16_MAX (32767.)
/**
* Struct to hold all the states of the VOC algorithm.
*/
typedef struct {
fix16_t mVoc_Index_Offset;
fix16_t mTau_Mean_Variance_Hours;
fix16_t mGating_Max_Duration_Minutes;
fix16_t mSraw_Std_Initial;
fix16_t mUptime;
fix16_t mSraw;
fix16_t mVoc_Index;
fix16_t m_Mean_Variance_Estimator__Gating_Max_Duration_Minutes;
bool m_Mean_Variance_Estimator___Initialized;
fix16_t m_Mean_Variance_Estimator___Mean;
fix16_t m_Mean_Variance_Estimator___Sraw_Offset;
fix16_t m_Mean_Variance_Estimator___Std;
fix16_t m_Mean_Variance_Estimator___Gamma;
fix16_t m_Mean_Variance_Estimator___Gamma_Initial_Mean;
fix16_t m_Mean_Variance_Estimator___Gamma_Initial_Variance;
fix16_t m_Mean_Variance_Estimator__Gamma_Mean;
fix16_t m_Mean_Variance_Estimator__Gamma_Variance;
fix16_t m_Mean_Variance_Estimator___Uptime_Gamma;
fix16_t m_Mean_Variance_Estimator___Uptime_Gating;
fix16_t m_Mean_Variance_Estimator___Gating_Duration_Minutes;
fix16_t m_Mean_Variance_Estimator___Sigmoid__L;
fix16_t m_Mean_Variance_Estimator___Sigmoid__K;
fix16_t m_Mean_Variance_Estimator___Sigmoid__X0;
fix16_t m_Mox_Model__Sraw_Std;
fix16_t m_Mox_Model__Sraw_Mean;
fix16_t m_Sigmoid_Scaled__Offset;
fix16_t m_Adaptive_Lowpass__A1;
fix16_t m_Adaptive_Lowpass__A2;
bool m_Adaptive_Lowpass___Initialized;
fix16_t m_Adaptive_Lowpass___X1;
fix16_t m_Adaptive_Lowpass___X2;
fix16_t m_Adaptive_Lowpass___X3;
} VocAlgorithmParams;
/**
* Initialize the VOC algorithm parameters. Call this once at the beginning or
* whenever the sensor stopped measurements.
* @param params Pointer to the VocAlgorithmParams struct
*/
void VocAlgorithm_init(VocAlgorithmParams* params);
/**
* Get current algorithm states. Retrieved values can be used in
* VocAlgorithm_set_states() to resume operation after a short interruption,
* skipping initial learning phase. This feature can only be used after at least
* 3 hours of continuous operation.
* @param params Pointer to the VocAlgorithmParams struct
* @param state0 State0 to be stored
* @param state1 State1 to be stored
*/
void VocAlgorithm_get_states(VocAlgorithmParams* params, int32_t* state0,
int32_t* state1);
/**
* Set previously retrieved algorithm states to resume operation after a short
* interruption, skipping initial learning phase. This feature should not be
* used after interruptions of more than 10 minutes. Call this once after
* VocAlgorithm_init() and the optional VocAlgorithm_set_tuning_parameters(), if
* desired. Otherwise, the algorithm will start with initial learning phase.
* @param params Pointer to the VocAlgorithmParams struct
* @param state0 State0 to be restored
* @param state1 State1 to be restored
*/
void VocAlgorithm_set_states(VocAlgorithmParams* params, int32_t state0,
int32_t state1);
/**
* Set parameters to customize the VOC algorithm. Call this once after
* VocAlgorithm_init(), if desired. Otherwise, the default values will be used.
*
* @param params Pointer to the VocAlgorithmParams struct
* @param voc_index_offset VOC index representing typical (average)
* conditions. Range 1..250, default 100
* @param learning_time_hours Time constant of long-term estimator.
* Past events will be forgotten after about
* twice the learning time.
* Range 1..72 [hours], default 12 [hours]
* @param gating_max_duration_minutes Maximum duration of gating (freeze of
* estimator during high VOC index signal).
* 0 (no gating) or range 1..720 [minutes],
* default 180 [minutes]
* @param std_initial Initial estimate for standard deviation.
* Lower value boosts events during initial
* learning period, but may result in larger
* device-to-device variations.
* Range 10..500, default 50
*/
void VocAlgorithm_set_tuning_parameters(VocAlgorithmParams* params,
int32_t voc_index_offset,
int32_t learning_time_hours,
int32_t gating_max_duration_minutes,
int32_t std_initial);
/**
* Calculate the VOC index value from the raw sensor value.
*
* @param params Pointer to the VocAlgorithmParams struct
* @param sraw Raw value from the SGP40 sensor
* @param voc_index Calculated VOC index value from the raw sensor value. Zero
* during initial blackout period and 1..500 afterwards
*/
void VocAlgorithm_process(VocAlgorithmParams* params, int32_t sraw,
int32_t* voc_index);
#endif /* VOCALGORITHM_H_ */