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Sgp40 (#1513)

Browse Source 
* Start of SGP40 dev

* Clean up

* Initial Commit

* VOC is working

* Fixed up sensor config

* Lint Fixes
Added in save/restore baseline
Noted original repo in header

* Lint Fixes
Added to test

* Lint Fixes

* Added additional check on restoring

* Removed double check

* Changed defines to static const double

* Changed defines to const
Do not send voc index until sensor stabilizes

* Fixed sensor stabilization message

* Fixup according to PR

* samples_read increment fix

* Fixed missing device class

* Choose a SENSOR device class

* Moved some sensors for tests

Co-authored-by: Guillermo Ruffino <glm.net@gmail.com>
This commit is contained in:
SenexCrenshaw 2021-04-08 21:40:19 -04:00 committed by GitHub
parent 5e239d3d88
commit 2033ac34e5
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9 changed files with 1261 additions and 18 deletions
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@ -78,6 +78,7 @@ esphome/components/rf_bridge/* @jesserockz
esphome/components/rtttl/* @glmnet
esphome/components/script/* @esphome/core
esphome/components/sensor/* @esphome/core
esphome/components/sgp40/* @SenexCrenshaw
esphome/components/shutdown/* @esphome/core
esphome/components/sim800l/* @glmnet
esphome/components/spi/* @esphome/core

0
esphome/components/sgp40/__init__.py Normal file
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esphome/components/sgp40/sensirion_voc_algorithm.cpp Normal file
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@ -0,0 +1,629 @@
#include "sensirion_voc_algorithm.h"
namespace esphome {
namespace sgp40 {
/* The VOC code were originally created by
* https://github.com/Sensirion/embedded-sgp
* The fixed point arithmetic parts of this code were originally created by
* https://github.com/PetteriAimonen/libfixmath
*/
/*!< the maximum value of fix16_t */
#define FIX16_MAXIMUM 0x7FFFFFFF
/*!< the minimum value of fix16_t */
static const uint32_t FIX16_MINIMUM = 0x80000000;
/*!< the value used to indicate overflows when FIXMATH_NO_OVERFLOW is not
* specified */
static const uint32_t FIX16_OVERFLOW = 0x80000000;
/*!< fix16_t value of 1 */
const uint32_t FIX16_ONE = 0x00010000;
inline fix16_t fix16_from_int(int32_t a) { return a * FIX16_ONE; }
inline int32_t fix16_cast_to_int(fix16_t a) { return (a >> 16); }
/*! Multiplies the two given fix16_t's and returns the result. */
static fix16_t fix16_mul(fix16_t in_arg0, fix16_t in_arg1);
/*! Divides the first given fix16_t by the second and returns the result. */
static fix16_t fix16_div(fix16_t a, fix16_t b);
/*! Returns the square root of the given fix16_t. */
static fix16_t fix16_sqrt(fix16_t in_value);
/*! Returns the exponent (e^) of the given fix16_t. */
static fix16_t fix16_exp(fix16_t in_value);
static fix16_t fix16_mul(fix16_t in_arg0, fix16_t in_arg1) {
// Each argument is divided to 16-bit parts.
// AB
// * CD
// -----------
// BD 16 * 16 -> 32 bit products
// CB
// AD
// AC
// |----| 64 bit product
int32_t a = (in_arg0 >> 16), c = (in_arg1 >> 16);
uint32_t b = (in_arg0 & 0xFFFF), d = (in_arg1 & 0xFFFF);
int32_t ac = a * c;
int32_t ad_cb = a * d + c * b;
uint32_t bd = b * d;
int32_t product_hi = ac + (ad_cb >> 16); // NOLINT
// Handle carry from lower 32 bits to upper part of result.
uint32_t ad_cb_temp = ad_cb << 16; // NOLINT
uint32_t product_lo = bd + ad_cb_temp;
if (product_lo < bd)
product_hi++;
#ifndef FIXMATH_NO_OVERFLOW
// The upper 17 bits should all be the same (the sign).
if (product_hi >> 31 != product_hi >> 15)
return FIX16_OVERFLOW;
#endif
#ifdef FIXMATH_NO_ROUNDING
return (product_hi << 16) | (product_lo >> 16);
#else
// Subtracting 0x8000 (= 0.5) and then using signed right shift
// achieves proper rounding to result-1, except in the corner
// case of negative numbers and lowest word = 0x8000.
// To handle that, we also have to subtract 1 for negative numbers.
uint32_t product_lo_tmp = product_lo;
product_lo -= 0x8000;
product_lo -= (uint32_t) product_hi >> 31;
if (product_lo > product_lo_tmp)
product_hi--;
// Discard the lowest 16 bits. Note that this is not exactly the same
// as dividing by 0x10000. For example if product = -1, result will
// also be -1 and not 0. This is compensated by adding +1 to the result
// and compensating this in turn in the rounding above.
fix16_t result = (product_hi << 16) | (product_lo >> 16); // NOLINT
result += 1;
return result;
#endif
}
static fix16_t fix16_div(fix16_t a, fix16_t b) {
// This uses the basic binary restoring division algorithm.
// It appears to be faster to do the whole division manually than
// trying to compose a 64-bit divide out of 32-bit divisions on
// platforms without hardware divide.
if (b == 0)
return FIX16_MINIMUM;
uint32_t remainder = (a >= 0) ? a : (-a);
uint32_t divider = (b >= 0) ? b : (-b);
uint32_t quotient = 0;
uint32_t bit = 0x10000;
/* The algorithm requires D >= R */
while (divider < remainder) {
divider <<= 1;
bit <<= 1;
}
#ifndef FIXMATH_NO_OVERFLOW
if (!bit)
return FIX16_OVERFLOW;
#endif
if (divider & 0x80000000) {
// Perform one step manually to avoid overflows later.
// We know that divider's bottom bit is 0 here.
if (remainder >= divider) {
quotient |= bit;
remainder -= divider;
}
divider >>= 1;
bit >>= 1;
}
/* Main division loop */
while (bit && remainder) {
if (remainder >= divider) {
quotient |= bit;
remainder -= divider;
}
remainder <<= 1;
bit >>= 1;
}
#ifndef FIXMATH_NO_ROUNDING
if (remainder >= divider) {
quotient++;
}
#endif
fix16_t result = quotient;
/* Figure out the sign of result */
if ((a ^ b) & 0x80000000) {
#ifndef FIXMATH_NO_OVERFLOW
if (result == FIX16_MINIMUM)
return FIX16_OVERFLOW;
#endif
result = -result;
}
return result;
}
static fix16_t fix16_sqrt(fix16_t in_value) {
// It is assumed that x is not negative
uint32_t num = in_value;
uint32_t result = 0;
uint32_t bit;
uint8_t n;
bit = (uint32_t) 1 << 30;
while (bit > num)
bit >>= 2;
// The main part is executed twice, in order to avoid
// using 64 bit values in computations.
for (n = 0; n < 2; n++) {
// First we get the top 24 bits of the answer.
while (bit) {
if (num >= result + bit) {
num -= result + bit;
result = (result >> 1) + bit;
} else {
result = (result >> 1);
}
bit >>= 2;
}
if (n == 0) {
// Then process it again to get the lowest 8 bits.
if (num > 65535) {
// The remainder 'num' is too large to be shifted left
// by 16, so we have to add 1 to result manually and
// adjust 'num' accordingly.
// num = a - (result + 0.5)^2
// = num + result^2 - (result + 0.5)^2
// = num - result - 0.5
num -= result;
num = (num << 16) - 0x8000;
result = (result << 16) + 0x8000;
} else {
num <<= 16;
result <<= 16;
}
bit = 1 << 14;
}
}
#ifndef FIXMATH_NO_ROUNDING
// Finally, if next bit would have been 1, round the result upwards.
if (num > result) {
result++;
}
#endif
return (fix16_t) result;
}
static fix16_t fix16_exp(fix16_t in_value) {
// Function to approximate exp(); optimized more for code size than speed
// exp(x) for x = +/- {1, 1/8, 1/64, 1/512}
fix16_t x = in_value;
static const uint8_t NUM_EXP_VALUES = 4;
static const fix16_t EXP_POS_VALUES[4] = {F16(2.7182818), F16(1.1331485), F16(1.0157477), F16(1.0019550)};
static const fix16_t EXP_NEG_VALUES[4] = {F16(0.3678794), F16(0.8824969), F16(0.9844964), F16(0.9980488)};
const fix16_t* exp_values;
fix16_t res, arg;
uint16_t i;
if (x >= F16(10.3972))
return FIX16_MAXIMUM;
if (x <= F16(-11.7835))
return 0;
if (x < 0) {
x = -x;
exp_values = EXP_NEG_VALUES;
} else {
exp_values = EXP_POS_VALUES;
}
res = FIX16_ONE;
arg = FIX16_ONE;
for (i = 0; i < NUM_EXP_VALUES; i++) {
while (x >= arg) {
res = fix16_mul(res, exp_values[i]);
x -= arg;
}
arg >>= 3;
}
return res;
}
static void voc_algorithm_init_instances(VocAlgorithmParams* params);
static void voc_algorithm_mean_variance_estimator_init(VocAlgorithmParams* params);
static void voc_algorithm_mean_variance_estimator_init_instances(VocAlgorithmParams* params);
static void voc_algorithm_mean_variance_estimator_set_parameters(VocAlgorithmParams* params, fix16_t std_initial,
fix16_t tau_mean_variance_hours,
fix16_t gating_max_duration_minutes);
static void voc_algorithm_mean_variance_estimator_set_states(VocAlgorithmParams* params, fix16_t mean, fix16_t std,
fix16_t uptime_gamma);
static fix16_t voc_algorithm_mean_variance_estimator_get_std(VocAlgorithmParams* params);
static fix16_t voc_algorithm_mean_variance_estimator_get_mean(VocAlgorithmParams* params);
static void voc_algorithm_mean_variance_estimator_calculate_gamma(VocAlgorithmParams* params,
fix16_t voc_index_from_prior);
static void voc_algorithm_mean_variance_estimator_process(VocAlgorithmParams* params, fix16_t sraw,
fix16_t voc_index_from_prior);
static void voc_algorithm_mean_variance_estimator_sigmoid_init(VocAlgorithmParams* params);
static void voc_algorithm_mean_variance_estimator_sigmoid_set_parameters(VocAlgorithmParams* params, fix16_t l,
fix16_t x0, fix16_t k);
static fix16_t voc_algorithm_mean_variance_estimator_sigmoid_process(VocAlgorithmParams* params, fix16_t sample);
static void voc_algorithm_mox_model_init(VocAlgorithmParams* params);
static void voc_algorithm_mox_model_set_parameters(VocAlgorithmParams* params, fix16_t sraw_std, fix16_t sraw_mean);
static fix16_t voc_algorithm_mox_model_process(VocAlgorithmParams* params, fix16_t sraw);
static void voc_algorithm_sigmoid_scaled_init(VocAlgorithmParams* params);
static void voc_algorithm_sigmoid_scaled_set_parameters(VocAlgorithmParams* params, fix16_t offset);
static fix16_t voc_algorithm_sigmoid_scaled_process(VocAlgorithmParams* params, fix16_t sample);
static void voc_algorithm_adaptive_lowpass_init(VocAlgorithmParams* params);
static void voc_algorithm_adaptive_lowpass_set_parameters(VocAlgorithmParams* params);
static fix16_t voc_algorithm_adaptive_lowpass_process(VocAlgorithmParams* params, fix16_t sample);
void voc_algorithm_init(VocAlgorithmParams* params) {
params->mVoc_Index_Offset = F16(VOC_ALGORITHM_VOC_INDEX_OFFSET_DEFAULT);
params->mTau_Mean_Variance_Hours = F16(VOC_ALGORITHM_TAU_MEAN_VARIANCE_HOURS);
params->mGating_Max_Duration_Minutes = F16(VOC_ALGORITHM_GATING_MAX_DURATION_MINUTES);
params->mSraw_Std_Initial = F16(VOC_ALGORITHM_SRAW_STD_INITIAL);
params->mUptime = F16(0.);
params->mSraw = F16(0.);
params->mVoc_Index = 0;
voc_algorithm_init_instances(params);
}
static void voc_algorithm_init_instances(VocAlgorithmParams* params) {
voc_algorithm_mean_variance_estimator_init(params);
voc_algorithm_mean_variance_estimator_set_parameters(
params, params->mSraw_Std_Initial, params->mTau_Mean_Variance_Hours, params->mGating_Max_Duration_Minutes);
voc_algorithm_mox_model_init(params);
voc_algorithm_mox_model_set_parameters(params, voc_algorithm_mean_variance_estimator_get_std(params),
voc_algorithm_mean_variance_estimator_get_mean(params));
voc_algorithm_sigmoid_scaled_init(params);
voc_algorithm_sigmoid_scaled_set_parameters(params, params->mVoc_Index_Offset);
voc_algorithm_adaptive_lowpass_init(params);
voc_algorithm_adaptive_lowpass_set_parameters(params);
}
void voc_algorithm_get_states(VocAlgorithmParams* params, int32_t* state0, int32_t* state1) {
*state0 = voc_algorithm_mean_variance_estimator_get_mean(params);
*state1 = voc_algorithm_mean_variance_estimator_get_std(params);
}
void voc_algorithm_set_states(VocAlgorithmParams* params, int32_t state0, int32_t state1) {
voc_algorithm_mean_variance_estimator_set_states(params, state0, state1, F16(VOC_ALGORITHM_PERSISTENCE_UPTIME_GAMMA));
params->mSraw = state0;
}
void voc_algorithm_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) {
params->mVoc_Index_Offset = (fix16_from_int(voc_index_offset));
params->mTau_Mean_Variance_Hours = (fix16_from_int(learning_time_hours));
params->mGating_Max_Duration_Minutes = (fix16_from_int(gating_max_duration_minutes));
params->mSraw_Std_Initial = (fix16_from_int(std_initial));
voc_algorithm_init_instances(params);
}
void voc_algorithm_process(VocAlgorithmParams* params, int32_t sraw, int32_t* voc_index) {
if ((params->mUptime <= F16(VOC_ALGORITHM_INITIAL_BLACKOUT))) {
params->mUptime = (params->mUptime + F16(VOC_ALGORITHM_SAMPLING_INTERVAL));
} else {
if (((sraw > 0) && (sraw < 65000))) {
if ((sraw < 20001)) {
sraw = 20001;
} else if ((sraw > 52767)) {
sraw = 52767;
}
params->mSraw = (fix16_from_int((sraw - 20000)));
}
params->mVoc_Index = voc_algorithm_mox_model_process(params, params->mSraw);
params->mVoc_Index = voc_algorithm_sigmoid_scaled_process(params, params->mVoc_Index);
params->mVoc_Index = voc_algorithm_adaptive_lowpass_process(params, params->mVoc_Index);
if ((params->mVoc_Index < F16(0.5))) {
params->mVoc_Index = F16(0.5);
}
if ((params->mSraw > F16(0.))) {
voc_algorithm_mean_variance_estimator_process(params, params->mSraw, params->mVoc_Index);
voc_algorithm_mox_model_set_parameters(params, voc_algorithm_mean_variance_estimator_get_std(params),
voc_algorithm_mean_variance_estimator_get_mean(params));
}
}
*voc_index = (fix16_cast_to_int((params->mVoc_Index + F16(0.5))));
}
static void voc_algorithm_mean_variance_estimator_init(VocAlgorithmParams* params) {
voc_algorithm_mean_variance_estimator_set_parameters(params, F16(0.), F16(0.), F16(0.));
voc_algorithm_mean_variance_estimator_init_instances(params);
}
static void voc_algorithm_mean_variance_estimator_init_instances(VocAlgorithmParams* params) {
voc_algorithm_mean_variance_estimator_sigmoid_init(params);
}
static void voc_algorithm_mean_variance_estimator_set_parameters(VocAlgorithmParams* params, fix16_t std_initial,
fix16_t tau_mean_variance_hours,
fix16_t gating_max_duration_minutes) {
params->m_Mean_Variance_Estimator__Gating_Max_Duration_Minutes = gating_max_duration_minutes;
params->m_Mean_Variance_Estimator___Initialized = false;
params->m_Mean_Variance_Estimator___Mean = F16(0.);
params->m_Mean_Variance_Estimator___Sraw_Offset = F16(0.);
params->m_Mean_Variance_Estimator___Std = std_initial;
params->m_Mean_Variance_Estimator___Gamma =
(fix16_div(F16((VOC_ALGORITHM_MEAN_VARIANCE_ESTIMATOR_GAMMA_SCALING * (VOC_ALGORITHM_SAMPLING_INTERVAL / 3600.))),
(tau_mean_variance_hours + F16((VOC_ALGORITHM_SAMPLING_INTERVAL / 3600.)))));
params->m_Mean_Variance_Estimator___Gamma_Initial_Mean =
F16(((VOC_ALGORITHM_MEAN_VARIANCE_ESTIMATOR_GAMMA_SCALING * VOC_ALGORITHM_SAMPLING_INTERVAL) /
(VOC_ALGORITHM_TAU_INITIAL_MEAN + VOC_ALGORITHM_SAMPLING_INTERVAL)));
params->m_Mean_Variance_Estimator___Gamma_Initial_Variance =
F16(((VOC_ALGORITHM_MEAN_VARIANCE_ESTIMATOR_GAMMA_SCALING * VOC_ALGORITHM_SAMPLING_INTERVAL) /
(VOC_ALGORITHM_TAU_INITIAL_VARIANCE + VOC_ALGORITHM_SAMPLING_INTERVAL)));
params->m_Mean_Variance_Estimator__Gamma_Mean = F16(0.);
params->m_Mean_Variance_Estimator__Gamma_Variance = F16(0.);
params->m_Mean_Variance_Estimator___Uptime_Gamma = F16(0.);
params->m_Mean_Variance_Estimator___Uptime_Gating = F16(0.);
params->m_Mean_Variance_Estimator___Gating_Duration_Minutes = F16(0.);
}
static void voc_algorithm_mean_variance_estimator_set_states(VocAlgorithmParams* params, fix16_t mean, fix16_t std,
fix16_t uptime_gamma) {
params->m_Mean_Variance_Estimator___Mean = mean;
params->m_Mean_Variance_Estimator___Std = std;
params->m_Mean_Variance_Estimator___Uptime_Gamma = uptime_gamma;
params->m_Mean_Variance_Estimator___Initialized = true;
}
static fix16_t voc_algorithm_mean_variance_estimator_get_std(VocAlgorithmParams* params) {
return params->m_Mean_Variance_Estimator___Std;
}
static fix16_t voc_algorithm_mean_variance_estimator_get_mean(VocAlgorithmParams* params) {
return (params->m_Mean_Variance_Estimator___Mean + params->m_Mean_Variance_Estimator___Sraw_Offset);
}
static void voc_algorithm_mean_variance_estimator_calculate_gamma(VocAlgorithmParams* params,
fix16_t voc_index_from_prior) {
fix16_t uptime_limit;
fix16_t sigmoid_gamma_mean;
fix16_t gamma_mean;
fix16_t gating_threshold_mean;
fix16_t sigmoid_gating_mean;
fix16_t sigmoid_gamma_variance;
fix16_t gamma_variance;
fix16_t gating_threshold_variance;
fix16_t sigmoid_gating_variance;
uptime_limit = F16((VOC_ALGORITHM_MEAN_VARIANCE_ESTIMATOR_FI_X16_MAX - VOC_ALGORITHM_SAMPLING_INTERVAL));
if ((params->m_Mean_Variance_Estimator___Uptime_Gamma < uptime_limit)) {
params->m_Mean_Variance_Estimator___Uptime_Gamma =
(params->m_Mean_Variance_Estimator___Uptime_Gamma + F16(VOC_ALGORITHM_SAMPLING_INTERVAL));
}
if ((params->m_Mean_Variance_Estimator___Uptime_Gating < uptime_limit)) {
params->m_Mean_Variance_Estimator___Uptime_Gating =
(params->m_Mean_Variance_Estimator___Uptime_Gating + F16(VOC_ALGORITHM_SAMPLING_INTERVAL));
}
voc_algorithm_mean_variance_estimator_sigmoid_set_parameters(params, F16(1.), F16(VOC_ALGORITHM_INIT_DURATION_MEAN),
F16(VOC_ALGORITHM_INIT_TRANSITION_MEAN));
sigmoid_gamma_mean =
voc_algorithm_mean_variance_estimator_sigmoid_process(params, params->m_Mean_Variance_Estimator___Uptime_Gamma);
gamma_mean =
(params->m_Mean_Variance_Estimator___Gamma +
(fix16_mul((params->m_Mean_Variance_Estimator___Gamma_Initial_Mean - params->m_Mean_Variance_Estimator___Gamma),
sigmoid_gamma_mean)));
gating_threshold_mean = (F16(VOC_ALGORITHM_GATING_THRESHOLD) +
(fix16_mul(F16((VOC_ALGORITHM_GATING_THRESHOLD_INITIAL - VOC_ALGORITHM_GATING_THRESHOLD)),
voc_algorithm_mean_variance_estimator_sigmoid_process(
params, params->m_Mean_Variance_Estimator___Uptime_Gating))));
voc_algorithm_mean_variance_estimator_sigmoid_set_parameters(params, F16(1.), gating_threshold_mean,
F16(VOC_ALGORITHM_GATING_THRESHOLD_TRANSITION));
sigmoid_gating_mean = voc_algorithm_mean_variance_estimator_sigmoid_process(params, voc_index_from_prior);
params->m_Mean_Variance_Estimator__Gamma_Mean = (fix16_mul(sigmoid_gating_mean, gamma_mean));
voc_algorithm_mean_variance_estimator_sigmoid_set_parameters(
params, F16(1.), F16(VOC_ALGORITHM_INIT_DURATION_VARIANCE), F16(VOC_ALGORITHM_INIT_TRANSITION_VARIANCE));
sigmoid_gamma_variance =
voc_algorithm_mean_variance_estimator_sigmoid_process(params, params->m_Mean_Variance_Estimator___Uptime_Gamma);
gamma_variance = (params->m_Mean_Variance_Estimator___Gamma +
(fix16_mul((params->m_Mean_Variance_Estimator___Gamma_Initial_Variance -
params->m_Mean_Variance_Estimator___Gamma),
(sigmoid_gamma_variance - sigmoid_gamma_mean))));
gating_threshold_variance =
(F16(VOC_ALGORITHM_GATING_THRESHOLD) +
(fix16_mul(F16((VOC_ALGORITHM_GATING_THRESHOLD_INITIAL - VOC_ALGORITHM_GATING_THRESHOLD)),
voc_algorithm_mean_variance_estimator_sigmoid_process(
params, params->m_Mean_Variance_Estimator___Uptime_Gating))));
voc_algorithm_mean_variance_estimator_sigmoid_set_parameters(params, F16(1.), gating_threshold_variance,
F16(VOC_ALGORITHM_GATING_THRESHOLD_TRANSITION));
sigmoid_gating_variance = voc_algorithm_mean_variance_estimator_sigmoid_process(params, voc_index_from_prior);
params->m_Mean_Variance_Estimator__Gamma_Variance = (fix16_mul(sigmoid_gating_variance, gamma_variance));
params->m_Mean_Variance_Estimator___Gating_Duration_Minutes =
(params->m_Mean_Variance_Estimator___Gating_Duration_Minutes +
(fix16_mul(F16((VOC_ALGORITHM_SAMPLING_INTERVAL / 60.)),
((fix16_mul((F16(1.) - sigmoid_gating_mean), F16((1. + VOC_ALGORITHM_GATING_MAX_RATIO)))) -
F16(VOC_ALGORITHM_GATING_MAX_RATIO)))));
if ((params->m_Mean_Variance_Estimator___Gating_Duration_Minutes < F16(0.))) {
params->m_Mean_Variance_Estimator___Gating_Duration_Minutes = F16(0.);
}
if ((params->m_Mean_Variance_Estimator___Gating_Duration_Minutes >
params->m_Mean_Variance_Estimator__Gating_Max_Duration_Minutes)) {
params->m_Mean_Variance_Estimator___Uptime_Gating = F16(0.);
}
}
static void voc_algorithm_mean_variance_estimator_process(VocAlgorithmParams* params, fix16_t sraw,
fix16_t voc_index_from_prior) {
fix16_t delta_sgp;
fix16_t c;
fix16_t additional_scaling;
if ((!params->m_Mean_Variance_Estimator___Initialized)) {
params->m_Mean_Variance_Estimator___Initialized = true;
params->m_Mean_Variance_Estimator___Sraw_Offset = sraw;
params->m_Mean_Variance_Estimator___Mean = F16(0.);
} else {
if (((params->m_Mean_Variance_Estimator___Mean >= F16(100.)) ||
(params->m_Mean_Variance_Estimator___Mean <= F16(-100.)))) {
params->m_Mean_Variance_Estimator___Sraw_Offset =
(params->m_Mean_Variance_Estimator___Sraw_Offset + params->m_Mean_Variance_Estimator___Mean);
params->m_Mean_Variance_Estimator___Mean = F16(0.);
}
sraw = (sraw - params->m_Mean_Variance_Estimator___Sraw_Offset);
voc_algorithm_mean_variance_estimator_calculate_gamma(params, voc_index_from_prior);
delta_sgp = (fix16_div((sraw - params->m_Mean_Variance_Estimator___Mean),
F16(VOC_ALGORITHM_MEAN_VARIANCE_ESTIMATOR_GAMMA_SCALING)));
if ((delta_sgp < F16(0.))) {
c = (params->m_Mean_Variance_Estimator___Std - delta_sgp);
} else {
c = (params->m_Mean_Variance_Estimator___Std + delta_sgp);
}
additional_scaling = F16(1.);
if ((c > F16(1440.))) {
additional_scaling = F16(4.);
}
params->m_Mean_Variance_Estimator___Std = (fix16_mul(
fix16_sqrt((fix16_mul(additional_scaling, (F16(VOC_ALGORITHM_MEAN_VARIANCE_ESTIMATOR_GAMMA_SCALING) -
params->m_Mean_Variance_Estimator__Gamma_Variance)))),
fix16_sqrt(((fix16_mul(params->m_Mean_Variance_Estimator___Std,
(fix16_div(params->m_Mean_Variance_Estimator___Std,
(fix16_mul(F16(VOC_ALGORITHM_MEAN_VARIANCE_ESTIMATOR_GAMMA_SCALING),
additional_scaling)))))) +
(fix16_mul((fix16_div((fix16_mul(params->m_Mean_Variance_Estimator__Gamma_Variance, delta_sgp)),
additional_scaling)),
delta_sgp))))));
params->m_Mean_Variance_Estimator___Mean = (params->m_Mean_Variance_Estimator___Mean +
(fix16_mul(params->m_Mean_Variance_Estimator__Gamma_Mean, delta_sgp)));
}
}
static void voc_algorithm_mean_variance_estimator_sigmoid_init(VocAlgorithmParams* params) {
voc_algorithm_mean_variance_estimator_sigmoid_set_parameters(params, F16(0.), F16(0.), F16(0.));
}
static void voc_algorithm_mean_variance_estimator_sigmoid_set_parameters(VocAlgorithmParams* params, fix16_t l,
fix16_t x0, fix16_t k) {
params->m_Mean_Variance_Estimator___Sigmoid__L = l;
params->m_Mean_Variance_Estimator___Sigmoid__K = k;
params->m_Mean_Variance_Estimator___Sigmoid__X0 = x0;
}
static fix16_t voc_algorithm_mean_variance_estimator_sigmoid_process(VocAlgorithmParams* params, fix16_t sample) {
fix16_t x;
x = (fix16_mul(params->m_Mean_Variance_Estimator___Sigmoid__K,
(sample - params->m_Mean_Variance_Estimator___Sigmoid__X0)));
if ((x < F16(-50.))) {
return params->m_Mean_Variance_Estimator___Sigmoid__L;
} else if ((x > F16(50.))) {
return F16(0.);
} else {
return (fix16_div(params->m_Mean_Variance_Estimator___Sigmoid__L, (F16(1.) + fix16_exp(x))));
}
}
static void voc_algorithm_mox_model_init(VocAlgorithmParams* params) {
voc_algorithm_mox_model_set_parameters(params, F16(1.), F16(0.));
}
static void voc_algorithm_mox_model_set_parameters(VocAlgorithmParams* params, fix16_t sraw_std, fix16_t sraw_mean) {
params->m_Mox_Model__Sraw_Std = sraw_std;
params->m_Mox_Model__Sraw_Mean = sraw_mean;
}
static fix16_t voc_algorithm_mox_model_process(VocAlgorithmParams* params, fix16_t sraw) {
return (fix16_mul((fix16_div((sraw - params->m_Mox_Model__Sraw_Mean),
(-(params->m_Mox_Model__Sraw_Std + F16(VOC_ALGORITHM_SRAW_STD_BONUS))))),
F16(VOC_ALGORITHM_VOC_INDEX_GAIN)));
}
static void voc_algorithm_sigmoid_scaled_init(VocAlgorithmParams* params) {
voc_algorithm_sigmoid_scaled_set_parameters(params, F16(0.));
}
static void voc_algorithm_sigmoid_scaled_set_parameters(VocAlgorithmParams* params, fix16_t offset) {
params->m_Sigmoid_Scaled__Offset = offset;
}
static fix16_t voc_algorithm_sigmoid_scaled_process(VocAlgorithmParams* params, fix16_t sample) {
fix16_t x;
fix16_t shift;
x = (fix16_mul(F16(VOC_ALGORITHM_SIGMOID_K), (sample - F16(VOC_ALGORITHM_SIGMOID_X0))));
if ((x < F16(-50.))) {
return F16(VOC_ALGORITHM_SIGMOID_L);
} else if ((x > F16(50.))) {
return F16(0.);
} else {
if ((sample >= F16(0.))) {
shift =
(fix16_div((F16(VOC_ALGORITHM_SIGMOID_L) - (fix16_mul(F16(5.), params->m_Sigmoid_Scaled__Offset))), F16(4.)));
return ((fix16_div((F16(VOC_ALGORITHM_SIGMOID_L) + shift), (F16(1.) + fix16_exp(x)))) - shift);
} else {
return (fix16_mul((fix16_div(params->m_Sigmoid_Scaled__Offset, F16(VOC_ALGORITHM_VOC_INDEX_OFFSET_DEFAULT))),
(fix16_div(F16(VOC_ALGORITHM_SIGMOID_L), (F16(1.) + fix16_exp(x))))));
}
}
}
static void voc_algorithm_adaptive_lowpass_init(VocAlgorithmParams* params) {
voc_algorithm_adaptive_lowpass_set_parameters(params);
}
static void voc_algorithm_adaptive_lowpass_set_parameters(VocAlgorithmParams* params) {
params->m_Adaptive_Lowpass__A1 =
F16((VOC_ALGORITHM_SAMPLING_INTERVAL / (VOC_ALGORITHM_LP_TAU_FAST + VOC_ALGORITHM_SAMPLING_INTERVAL)));
params->m_Adaptive_Lowpass__A2 =
F16((VOC_ALGORITHM_SAMPLING_INTERVAL / (VOC_ALGORITHM_LP_TAU_SLOW + VOC_ALGORITHM_SAMPLING_INTERVAL)));
params->m_Adaptive_Lowpass___Initialized = false;
}
static fix16_t voc_algorithm_adaptive_lowpass_process(VocAlgorithmParams* params, fix16_t sample) {
fix16_t abs_delta;
fix16_t f1;
fix16_t tau_a;
fix16_t a3;
if ((!params->m_Adaptive_Lowpass___Initialized)) {
params->m_Adaptive_Lowpass___X1 = sample;
params->m_Adaptive_Lowpass___X2 = sample;
params->m_Adaptive_Lowpass___X3 = sample;
params->m_Adaptive_Lowpass___Initialized = true;
}
params->m_Adaptive_Lowpass___X1 =
((fix16_mul((F16(1.) - params->m_Adaptive_Lowpass__A1), params->m_Adaptive_Lowpass___X1)) +
(fix16_mul(params->m_Adaptive_Lowpass__A1, sample)));
params->m_Adaptive_Lowpass___X2 =
((fix16_mul((F16(1.) - params->m_Adaptive_Lowpass__A2), params->m_Adaptive_Lowpass___X2)) +
(fix16_mul(params->m_Adaptive_Lowpass__A2, sample)));
abs_delta = (params->m_Adaptive_Lowpass___X1 - params->m_Adaptive_Lowpass___X2);
if ((abs_delta < F16(0.))) {
abs_delta = (-abs_delta);
}
f1 = fix16_exp((fix16_mul(F16(VOC_ALGORITHM_LP_ALPHA), abs_delta)));
tau_a =
((fix16_mul(F16((VOC_ALGORITHM_LP_TAU_SLOW - VOC_ALGORITHM_LP_TAU_FAST)), f1)) + F16(VOC_ALGORITHM_LP_TAU_FAST));
a3 = (fix16_div(F16(VOC_ALGORITHM_SAMPLING_INTERVAL), (F16(VOC_ALGORITHM_SAMPLING_INTERVAL) + tau_a)));
params->m_Adaptive_Lowpass___X3 =
((fix16_mul((F16(1.) - a3), params->m_Adaptive_Lowpass___X3)) + (fix16_mul(a3, sample)));
return params->m_Adaptive_Lowpass___X3;
}
} // namespace sgp40
} // namespace esphome

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#pragma once
#include <stdint.h>
namespace esphome {
namespace sgp40 {
/* The VOC code were originally created by
* https://github.com/Sensirion/embedded-sgp
* The fixed point arithmetic parts of this code were originally created by
* https://github.com/PetteriAimonen/libfixmath
*/
using fix16_t = int32_t;
#define F16(x) ((fix16_t)(((x) >= 0) ? ((x) *65536.0 + 0.5) : ((x) *65536.0 - 0.5)))
static const float VOC_ALGORITHM_SAMPLING_INTERVAL(1.);
static const float VOC_ALGORITHM_INITIAL_BLACKOUT(45.);
static const float VOC_ALGORITHM_VOC_INDEX_GAIN(230.);
static const float VOC_ALGORITHM_SRAW_STD_INITIAL(50.);
static const float VOC_ALGORITHM_SRAW_STD_BONUS(220.);
static const float VOC_ALGORITHM_TAU_MEAN_VARIANCE_HOURS(12.);
static const float VOC_ALGORITHM_TAU_INITIAL_MEAN(20.);
static const float VOC_ALGORITHM_INIT_DURATION_MEAN((3600. * 0.75));
static const float VOC_ALGORITHM_INIT_TRANSITION_MEAN(0.01);
static const float VOC_ALGORITHM_TAU_INITIAL_VARIANCE(2500.);
static const float VOC_ALGORITHM_INIT_DURATION_VARIANCE((3600. * 1.45));
static const float VOC_ALGORITHM_INIT_TRANSITION_VARIANCE(0.01);
static const float VOC_ALGORITHM_GATING_THRESHOLD(340.);
static const float VOC_ALGORITHM_GATING_THRESHOLD_INITIAL(510.);
static const float VOC_ALGORITHM_GATING_THRESHOLD_TRANSITION(0.09);
static const float VOC_ALGORITHM_GATING_MAX_DURATION_MINUTES((60. * 3.));
static const float VOC_ALGORITHM_GATING_MAX_RATIO(0.3);
static const float VOC_ALGORITHM_SIGMOID_L(500.);
static const float VOC_ALGORITHM_SIGMOID_K(-0.0065);
static const float VOC_ALGORITHM_SIGMOID_X0(213.);
static const float VOC_ALGORITHM_VOC_INDEX_OFFSET_DEFAULT(100.);
static const float VOC_ALGORITHM_LP_TAU_FAST(20.0);
static const float VOC_ALGORITHM_LP_TAU_SLOW(500.0);
static const float VOC_ALGORITHM_LP_ALPHA(-0.2);
static const float VOC_ALGORITHM_PERSISTENCE_UPTIME_GAMMA((3. * 3600.));
static const float VOC_ALGORITHM_MEAN_VARIANCE_ESTIMATOR_GAMMA_SCALING(64.);
static const float VOC_ALGORITHM_MEAN_VARIANCE_ESTIMATOR_FI_X16_MAX(32767.);
/**
* Struct to hold all the states of the VOC algorithm.
*/
struct VocAlgorithmParams {
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;
};
/**
* 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 voc_algorithm_init(VocAlgorithmParams *params);
/**
* Get current algorithm states. Retrieved values can be used in
* voc_algorithm_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 voc_algorithm_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 inerruptions of more than 10 minutes. Call this once after
* voc_algorithm_init() and the optional voc_algorithm_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 voc_algorithm_set_states(VocAlgorithmParams *params, int32_t state0, int32_t state1);
/**
* Set parameters to customize the VOC algorithm. Call this once after
* voc_algorithm_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 voc_algorithm_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 voc_algorithm_process(VocAlgorithmParams *params, int32_t sraw, int32_t *voc_index);
} // namespace sgp40
} // namespace esphome

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import esphome.codegen as cg
import esphome.config_validation as cv
from esphome.components import i2c, sensor
from esphome.const import CONF_ID, DEVICE_CLASS_EMPTY, ICON_RADIATOR, UNIT_EMPTY
DEPENDENCIES = ["i2c"]
CODEOWNERS = ["@SenexCrenshaw"]
sgp40_ns = cg.esphome_ns.namespace("sgp40")
SGP40Component = sgp40_ns.class_(
"SGP40Component", sensor.Sensor, cg.PollingComponent, i2c.I2CDevice
)
CONF_COMPENSATION = "compensation"
CONF_HUMIDITY_SOURCE = "humidity_source"
CONF_TEMPERATURE_SOURCE = "temperature_source"
CONF_STORE_BASELINE = "store_baseline"
CONF_VOC_BASELINE = "voc_baseline"
CONFIG_SCHEMA = (
sensor.sensor_schema(UNIT_EMPTY, ICON_RADIATOR, 0, DEVICE_CLASS_EMPTY)
.extend(
{
cv.GenerateID(): cv.declare_id(SGP40Component),
cv.Optional(CONF_STORE_BASELINE, default=True): cv.boolean,
cv.Optional(CONF_VOC_BASELINE): cv.hex_uint16_t,
cv.Optional(CONF_COMPENSATION): cv.Schema(
{
cv.Required(CONF_HUMIDITY_SOURCE): cv.use_id(sensor.Sensor),
cv.Required(CONF_TEMPERATURE_SOURCE): cv.use_id(sensor.Sensor),
},
),
}
)
.extend(cv.polling_component_schema("60s"))
.extend(i2c.i2c_device_schema(0x59))
)
def to_code(config):
var = cg.new_Pvariable(config[CONF_ID])
yield cg.register_component(var, config)
yield i2c.register_i2c_device(var, config)
yield sensor.register_sensor(var, config)
if CONF_COMPENSATION in config:
compensation_config = config[CONF_COMPENSATION]
sens = yield cg.get_variable(compensation_config[CONF_HUMIDITY_SOURCE])
cg.add(var.set_humidity_sensor(sens))
sens = yield cg.get_variable(compensation_config[CONF_TEMPERATURE_SOURCE])
cg.add(var.set_temperature_sensor(sens))
cg.add(var.set_store_baseline(config[CONF_STORE_BASELINE]))
if CONF_VOC_BASELINE in config:
cg.add(var.set_voc_baseline(CONF_VOC_BASELINE))

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#include "esphome/core/log.h"
#include "sgp40.h"
namespace esphome {
namespace sgp40 {
static const char *TAG = "sgp40";
void SGP40Component::setup() {
ESP_LOGCONFIG(TAG, "Setting up SGP40...");
// Serial Number identification
if (!this->write_command_(SGP40_CMD_GET_SERIAL_ID)) {
this->error_code_ = COMMUNICATION_FAILED;
this->mark_failed();
return;
}
uint16_t raw_serial_number[3];
if (!this->read_data_(raw_serial_number, 3)) {
this->mark_failed();
return;
}
this->serial_number_ = (uint64_t(raw_serial_number[0]) << 24) | (uint64_t(raw_serial_number[1]) << 16) |
(uint64_t(raw_serial_number[2]));
ESP_LOGD(TAG, "Serial Number: %llu", this->serial_number_);
// Featureset identification for future use
if (!this->write_command_(SGP40_CMD_GET_FEATURESET)) {
ESP_LOGD(TAG, "raw_featureset write_command_ failed");
this->mark_failed();
return;
}
uint16_t raw_featureset[1];
if (!this->read_data_(raw_featureset, 1)) {
ESP_LOGD(TAG, "raw_featureset read_data_ failed");
this->mark_failed();
return;
}
this->featureset_ = raw_featureset[0];
if ((this->featureset_ & 0x1FF) != SGP40_FEATURESET) {
ESP_LOGD(TAG, "Product feature set failed 0x%0X , expecting 0x%0X", uint16_t(this->featureset_ & 0x1FF),
SGP40_FEATURESET);
this->mark_failed();
return;
}
ESP_LOGD(TAG, "Product version: 0x%0X", uint16_t(this->featureset_ & 0x1FF));
voc_algorithm_init(&this->voc_algorithm_params_);
if (this->store_baseline_) {
// Hash with compilation time
// This ensures the baseline storage is cleared after OTA
uint32_t hash = fnv1_hash(App.get_compilation_time());
this->pref_ = global_preferences.make_preference<SGP40Baselines>(hash, true);
if (this->pref_.load(&this->baselines_storage_)) {
this->state0_ = this->baselines_storage_.state0;
this->state1_ = this->baselines_storage_.state1;
ESP_LOGI(TAG, "Loaded VOC baseline state0: 0x%04X, state1: 0x%04X", this->baselines_storage_.state0,
baselines_storage_.state1);
}
// Initialize storage timestamp
this->seconds_since_last_store_ = 0;
if (this->baselines_storage_.state0 > 0 && this->baselines_storage_.state1 > 0) {
ESP_LOGI(TAG, "Setting VOC baseline from save state0: 0x%04X, state1: 0x%04X", this->baselines_storage_.state0,
baselines_storage_.state1);
voc_algorithm_set_states(&this->voc_algorithm_params_, this->baselines_storage_.state0,
this->baselines_storage_.state1);
}
}
this->self_test_();
}
void SGP40Component::self_test_() {
ESP_LOGD(TAG, "selfTest started");
if (!this->write_command_(SGP40_CMD_SELF_TEST)) {
this->error_code_ = COMMUNICATION_FAILED;
ESP_LOGD(TAG, "selfTest communicatin failed");
this->mark_failed();
}
this->set_timeout(250, [this]() {
uint16_t reply[1];
if (!this->read_data_(reply, 1)) {
ESP_LOGD(TAG, "selfTest read_data_ failed");
this->mark_failed();
return;
}
if (reply[0] == 0xD400) {
ESP_LOGD(TAG, "selfTest completed");
return;
}
ESP_LOGD(TAG, "selfTest failed");
this->mark_failed();
});
}
/**
* @brief Combined the measured gasses, temperature, and humidity
* to calculate the VOC Index
*
* @param temperature The measured temperature in degrees C
* @param humidity The measured relative humidity in % rH
* @return int32_t The VOC Index
*/
int32_t SGP40Component::measure_voc_index_() {
int32_t voc_index;
uint16_t sraw = measure_raw_();
if (sraw == UINT16_MAX)
return UINT16_MAX;
this->status_clear_warning();
voc_algorithm_process(&voc_algorithm_params_, sraw, &voc_index);
// Store baselines after defined interval or if the difference between current and stored baseline becomes too
// much
if (this->store_baseline_ && this->seconds_since_last_store_ > SHORTEST_BASELINE_STORE_INTERVAL) {
voc_algorithm_get_states(&voc_algorithm_params_, &this->state0_, &this->state1_);
if (abs(this->baselines_storage_.state0 - this->state0_) > MAXIMUM_STORAGE_DIFF ||
abs(this->baselines_storage_.state1 - this->state1_) > MAXIMUM_STORAGE_DIFF) {
this->seconds_since_last_store_ = 0;
this->baselines_storage_.state0 = this->state0_;
this->baselines_storage_.state1 = this->state1_;
if (this->pref_.save(&this->baselines_storage_)) {
ESP_LOGI(TAG, "Stored VOC baseline state0: 0x%04X ,state1: 0x%04X", this->baselines_storage_.state0,
baselines_storage_.state1);
} else {
ESP_LOGW(TAG, "Could not store VOC baselines");
}
}
}
return voc_index;
}
/**
* @brief Return the raw gas measurement
*
* @param temperature The measured temperature in degrees C
* @param humidity The measured relative humidity in % rH
* @return uint16_t The current raw gas measurement
*/
uint16_t SGP40Component::measure_raw_() {
float humidity = NAN;
if (this->humidity_sensor_ != nullptr) {
humidity = this->humidity_sensor_->state;
}
if (isnan(humidity) || humidity < 0.0f || humidity > 100.0f) {
humidity = 50;
}
float temperature = NAN;
if (this->temperature_sensor_ != nullptr) {
temperature = float(this->temperature_sensor_->state);
}
if (isnan(temperature) || temperature < -40.0f || temperature > 85.0f) {
temperature = 25;
}
uint8_t command[8];
command[0] = 0x26;
command[1] = 0x0F;
uint16_t rhticks = llround((uint16_t)((humidity * 65535) / 100));
command[2] = rhticks >> 8;
command[3] = rhticks & 0xFF;
command[4] = generate_crc_(command + 2, 2);
uint16_t tempticks = (uint16_t)(((temperature + 45) * 65535) / 175);
command[5] = tempticks >> 8;
command[6] = tempticks & 0xFF;
command[7] = generate_crc_(command + 5, 2);
if (!this->write_bytes_raw(command, 8)) {
this->status_set_warning();
ESP_LOGD(TAG, "write_bytes_raw error");
return UINT16_MAX;
}
delay(250); // NOLINT
uint16_t raw_data[1];
if (!this->read_data_(raw_data, 1)) {
this->status_set_warning();
ESP_LOGD(TAG, "read_data_ error");
return UINT16_MAX;
}
return raw_data[0];
}
uint8_t SGP40Component::generate_crc_(const uint8_t *data, uint8_t datalen) {
// calculates 8-Bit checksum with given polynomial
uint8_t crc = SGP40_CRC8_INIT;
for (uint8_t i = 0; i < datalen; i++) {
crc ^= data[i];
for (uint8_t b = 0; b < 8; b++) {
if (crc & 0x80)
crc = (crc << 1) ^ SGP40_CRC8_POLYNOMIAL;
else
crc <<= 1;
}
}
return crc;
}
void SGP40Component::update() {
this->seconds_since_last_store_ += this->update_interval_ / 1000;
uint32_t voc_index = this->measure_voc_index_();
if (this->samples_read_++ < this->samples_to_stabalize_) {
ESP_LOGD(TAG, "Sensor has not collected enough samples yet. (%d/%d) VOC index is: %u", this->samples_read_,
this->samples_to_stabalize_, voc_index);
return;
}
if (voc_index != UINT16_MAX) {
this->status_clear_warning();
this->publish_state(voc_index);
} else {
this->status_set_warning();
}
}
void SGP40Component::dump_config() {
ESP_LOGCONFIG(TAG, "SGP40:");
LOG_I2C_DEVICE(this);
if (this->is_failed()) {
switch (this->error_code_) {
case COMMUNICATION_FAILED:
ESP_LOGW(TAG, "Communication failed! Is the sensor connected?");
break;
default:
ESP_LOGW(TAG, "Unknown setup error!");
break;
}
} else {
ESP_LOGCONFIG(TAG, " Serial number: %llu", this->serial_number_);
ESP_LOGCONFIG(TAG, " Minimum Samples: %f", VOC_ALGORITHM_INITIAL_BLACKOUT);
}
LOG_UPDATE_INTERVAL(this);
if (this->humidity_sensor_ != nullptr && this->temperature_sensor_ != nullptr) {
ESP_LOGCONFIG(TAG, " Compensation:");
LOG_SENSOR(" ", "Temperature Source:", this->temperature_sensor_);
LOG_SENSOR(" ", "Humidity Source:", this->humidity_sensor_);
} else {
ESP_LOGCONFIG(TAG, " Compensation: No source configured");
}
}
bool SGP40Component::write_command_(uint16_t command) {
// Warning ugly, trick the I2Ccomponent base by setting register to the first 8 bit.
return this->write_byte(command >> 8, command & 0xFF);
}
uint8_t SGP40Component::sht_crc_(uint8_t data1, uint8_t data2) {
uint8_t bit;
uint8_t crc = 0xFF;
crc ^= data1;
for (bit = 8; bit > 0; --bit) {
if (crc & 0x80)
crc = (crc << 1) ^ 0x131;
else
crc = (crc << 1);
}
crc ^= data2;
for (bit = 8; bit > 0; --bit) {
if (crc & 0x80)
crc = (crc << 1) ^ 0x131;
else
crc = (crc << 1);
}
return crc;
}
bool SGP40Component::read_data_(uint16_t *data, uint8_t len) {
const uint8_t num_bytes = len * 3;
std::vector<uint8_t> buf(num_bytes);
if (!this->parent_->raw_receive(this->address_, buf.data(), num_bytes)) {
return false;
}
for (uint8_t i = 0; i < len; i++) {
const uint8_t j = 3 * i;
uint8_t crc = sht_crc_(buf[j], buf[j + 1]);
if (crc != buf[j + 2]) {
ESP_LOGE(TAG, "CRC8 Checksum invalid! 0x%02X != 0x%02X", buf[j + 2], crc);
return false;
}
data[i] = (buf[j] << 8) | buf[j + 1];
}
return true;
}
} // namespace sgp40
} // namespace esphome

92
esphome/components/sgp40/sgp40.h Normal file
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@ -0,0 +1,92 @@
#pragma once
#include "esphome/core/component.h"
#include "esphome/components/sensor/sensor.h"
#include "esphome/components/i2c/i2c.h"
#include "esphome/core/application.h"
#include "esphome/core/preferences.h"
#include "sensirion_voc_algorithm.h"
#include <cmath>
namespace esphome {
namespace sgp40 {
struct SGP40Baselines {
int32_t state0;
int32_t state1;
} PACKED; // NOLINT
// commands and constants
static const uint8_t SGP40_FEATURESET = 0x0020; ///< The required set for this library
static const uint8_t SGP40_CRC8_POLYNOMIAL = 0x31; ///< Seed for SGP40's CRC polynomial
static const uint8_t SGP40_CRC8_INIT = 0xFF; ///< Init value for CRC
static const uint8_t SGP40_WORD_LEN = 2; ///< 2 bytes per word
// Commands
static const uint16_t SGP40_CMD_GET_SERIAL_ID = 0x3682;
static const uint16_t SGP40_CMD_GET_FEATURESET = 0x202f;
static const uint16_t SGP40_CMD_SELF_TEST = 0x280e;
// Shortest time interval of 3H for storing baseline values.
// Prevents wear of the flash because of too many write operations
const long SHORTEST_BASELINE_STORE_INTERVAL = 10800;
// Store anyway if the baseline difference exceeds the max storage diff value
const long MAXIMUM_STORAGE_DIFF = 50;
class SGP40Component;
/// This class implements support for the Sensirion sgp40 i2c GAS (VOC) sensors.
class SGP40Component : public PollingComponent, public sensor::Sensor, public i2c::I2CDevice {
public:
void set_humidity_sensor(sensor::Sensor *humidity) { humidity_sensor_ = humidity; }
void set_temperature_sensor(sensor::Sensor *temperature) { temperature_sensor_ = temperature; }
void setup() override;
void update() override;
void dump_config() override;
float get_setup_priority() const override { return setup_priority::DATA; }
void set_store_baseline(bool store_baseline) { store_baseline_ = store_baseline; }
protected:
/// Input sensor for humidity and temperature compensation.
sensor::Sensor *humidity_sensor_{nullptr};
sensor::Sensor *temperature_sensor_{nullptr};
bool write_command_(uint16_t command);
bool read_data_(uint16_t *data, uint8_t len);
int16_t sensirion_init_sensors_();
int16_t sgp40_probe_();
uint8_t sht_crc_(uint8_t data1, uint8_t data2);
uint64_t serial_number_;
uint16_t featureset_;
int32_t measure_voc_index_();
uint8_t generate_crc_(const uint8_t *data, uint8_t datalen);
uint16_t measure_raw_();
ESPPreferenceObject pref_;
long seconds_since_last_store_;
SGP40Baselines baselines_storage_;
VocAlgorithmParams voc_algorithm_params_;
bool store_baseline_;
int32_t state0_;
int32_t state1_;
uint8_t samples_read_ = 0;
uint8_t samples_to_stabalize_ = static_cast<int8_t>(VOC_ALGORITHM_INITIAL_BLACKOUT) * 2;
/**
* @brief Request the sensor to perform a self-test, returning the result
*
* @return true: success false:failure
*/
void self_test_();
enum ErrorCode {
COMMUNICATION_FAILED,
MEASUREMENT_INIT_FAILED,
INVALID_ID,
UNSUPPORTED_ID,
UNKNOWN
} error_code_{UNKNOWN};
};
} // namespace sgp40
} // namespace esphome

18
tests/test1.yaml
View File

@ -235,10 +235,6 @@ wled:
adalight:
mcp3008:
- id: 'mcp3008_hub'
cs_pin: GPIO12
mcp23s08:
- id: 'mcp23s08_hub'
cs_pin: GPIO12
@ -877,12 +873,6 @@ sensor:
id: ph_ezo
address: 99
unit_of_measurement: 'pH'
- platform: mcp3008
update_interval: 5s
mcp3008_id: 'mcp3008_hub'
id: freezer_temp_source
reference_voltage: 3.19
number: 0
esp32_touch:
setup_mode: False
@ -1488,14 +1478,14 @@ climate:
min_temperature: 18 °C
max_temperature: 25 °C
temperature_step: 0.1 °C
name: "Electrolux EACS"
name: 'Electrolux EACS'
beeper: true
outdoor_temperature:
name: "Temp"
name: 'Temp'
power_usage:
name: "Power"
name: 'Power'
humidity_setpoint:
name: "Hum"
name: 'Hum'
midea_dongle:
uart_id: uart0

21
tests/test2.yaml
View File

@ -54,6 +54,10 @@ deep_sleep:
as3935_i2c:
irq_pin: GPIO12
mcp3008:
- id: 'mcp3008_hub'
cs_pin: GPIO12
sensor:
- platform: homeassistant
entity_id: sensor.hello_world
@ -212,12 +216,21 @@ sensor:
- platform: inkbird_ibsth1_mini
mac_address: 38:81:D7:0A:9C:11
temperature:
name: 'Inkbird IBS-TH1 Temperature'
name: 'Inkbird IBS-TH1 Temperature'
humidity:
name: 'Inkbird IBS-TH1 Humidity'
name: 'Inkbird IBS-TH1 Humidity'
battery_level:
name: 'Inkbird IBS-TH1 Battery Level'
name: 'Inkbird IBS-TH1 Battery Level'
- platform: sgp40
name: 'Workshop VOC'
update_interval: 5s
store_baseline: 'true'
- platform: mcp3008
update_interval: 5s
mcp3008_id: 'mcp3008_hub'
id: freezer_temp_source
reference_voltage: 3.19
number: 0
time:
- platform: homeassistant
on_time: