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Sgp40 (#1513)
* 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>
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@ -78,6 +78,7 @@ esphome/components/rf_bridge/* @jesserockz
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esphome/components/rtttl/* @glmnet
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esphome/components/script/* @esphome/core
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esphome/components/sensor/* @esphome/core
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esphome/components/sgp40/* @SenexCrenshaw
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esphome/components/shutdown/* @esphome/core
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esphome/components/sim800l/* @glmnet
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esphome/components/spi/* @esphome/core
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esphome/components/sgp40/__init__.py
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0
esphome/components/sgp40/__init__.py
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esphome/components/sgp40/sensirion_voc_algorithm.cpp
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esphome/components/sgp40/sensirion_voc_algorithm.cpp
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@ -0,0 +1,629 @@
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#include "sensirion_voc_algorithm.h"
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namespace esphome {
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namespace sgp40 {
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/* The VOC code were originally created by
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* https://github.com/Sensirion/embedded-sgp
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* The fixed point arithmetic parts of this code were originally created by
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* https://github.com/PetteriAimonen/libfixmath
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*/
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/*!< the maximum value of fix16_t */
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#define FIX16_MAXIMUM 0x7FFFFFFF
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/*!< the minimum value of fix16_t */
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static const uint32_t FIX16_MINIMUM = 0x80000000;
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/*!< the value used to indicate overflows when FIXMATH_NO_OVERFLOW is not
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* specified */
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static const uint32_t FIX16_OVERFLOW = 0x80000000;
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/*!< fix16_t value of 1 */
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const uint32_t FIX16_ONE = 0x00010000;
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inline fix16_t fix16_from_int(int32_t a) { return a * FIX16_ONE; }
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inline int32_t fix16_cast_to_int(fix16_t a) { return (a >> 16); }
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/*! Multiplies the two given fix16_t's and returns the result. */
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static fix16_t fix16_mul(fix16_t in_arg0, fix16_t in_arg1);
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/*! Divides the first given fix16_t by the second and returns the result. */
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static fix16_t fix16_div(fix16_t a, fix16_t b);
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/*! Returns the square root of the given fix16_t. */
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static fix16_t fix16_sqrt(fix16_t in_value);
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/*! Returns the exponent (e^) of the given fix16_t. */
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static fix16_t fix16_exp(fix16_t in_value);
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static fix16_t fix16_mul(fix16_t in_arg0, fix16_t in_arg1) {
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// Each argument is divided to 16-bit parts.
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// AB
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// * CD
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// -----------
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// BD 16 * 16 -> 32 bit products
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// CB
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// AD
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// AC
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// |----| 64 bit product
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int32_t a = (in_arg0 >> 16), c = (in_arg1 >> 16);
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uint32_t b = (in_arg0 & 0xFFFF), d = (in_arg1 & 0xFFFF);
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int32_t ac = a * c;
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int32_t ad_cb = a * d + c * b;
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uint32_t bd = b * d;
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int32_t product_hi = ac + (ad_cb >> 16); // NOLINT
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// Handle carry from lower 32 bits to upper part of result.
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uint32_t ad_cb_temp = ad_cb << 16; // NOLINT
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uint32_t product_lo = bd + ad_cb_temp;
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if (product_lo < bd)
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product_hi++;
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#ifndef FIXMATH_NO_OVERFLOW
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// The upper 17 bits should all be the same (the sign).
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if (product_hi >> 31 != product_hi >> 15)
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return FIX16_OVERFLOW;
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#endif
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#ifdef FIXMATH_NO_ROUNDING
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return (product_hi << 16) | (product_lo >> 16);
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#else
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// Subtracting 0x8000 (= 0.5) and then using signed right shift
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// achieves proper rounding to result-1, except in the corner
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// case of negative numbers and lowest word = 0x8000.
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// To handle that, we also have to subtract 1 for negative numbers.
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uint32_t product_lo_tmp = product_lo;
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product_lo -= 0x8000;
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product_lo -= (uint32_t) product_hi >> 31;
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if (product_lo > product_lo_tmp)
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product_hi--;
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// Discard the lowest 16 bits. Note that this is not exactly the same
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// as dividing by 0x10000. For example if product = -1, result will
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// also be -1 and not 0. This is compensated by adding +1 to the result
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// and compensating this in turn in the rounding above.
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fix16_t result = (product_hi << 16) | (product_lo >> 16); // NOLINT
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result += 1;
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return result;
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#endif
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}
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static fix16_t fix16_div(fix16_t a, fix16_t b) {
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// This uses the basic binary restoring division algorithm.
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// It appears to be faster to do the whole division manually than
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// trying to compose a 64-bit divide out of 32-bit divisions on
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// platforms without hardware divide.
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if (b == 0)
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return FIX16_MINIMUM;
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uint32_t remainder = (a >= 0) ? a : (-a);
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uint32_t divider = (b >= 0) ? b : (-b);
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uint32_t quotient = 0;
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uint32_t bit = 0x10000;
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/* The algorithm requires D >= R */
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while (divider < remainder) {
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divider <<= 1;
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bit <<= 1;
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}
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#ifndef FIXMATH_NO_OVERFLOW
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if (!bit)
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return FIX16_OVERFLOW;
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#endif
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if (divider & 0x80000000) {
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// Perform one step manually to avoid overflows later.
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// We know that divider's bottom bit is 0 here.
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if (remainder >= divider) {
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quotient |= bit;
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remainder -= divider;
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}
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divider >>= 1;
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bit >>= 1;
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}
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/* Main division loop */
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while (bit && remainder) {
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if (remainder >= divider) {
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quotient |= bit;
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remainder -= divider;
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}
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remainder <<= 1;
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bit >>= 1;
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}
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#ifndef FIXMATH_NO_ROUNDING
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if (remainder >= divider) {
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quotient++;
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}
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#endif
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fix16_t result = quotient;
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/* Figure out the sign of result */
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if ((a ^ b) & 0x80000000) {
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#ifndef FIXMATH_NO_OVERFLOW
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if (result == FIX16_MINIMUM)
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return FIX16_OVERFLOW;
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#endif
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result = -result;
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}
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return result;
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}
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static fix16_t fix16_sqrt(fix16_t in_value) {
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// It is assumed that x is not negative
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uint32_t num = in_value;
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uint32_t result = 0;
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uint32_t bit;
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uint8_t n;
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bit = (uint32_t) 1 << 30;
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while (bit > num)
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bit >>= 2;
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// The main part is executed twice, in order to avoid
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// using 64 bit values in computations.
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for (n = 0; n < 2; n++) {
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// First we get the top 24 bits of the answer.
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while (bit) {
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if (num >= result + bit) {
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num -= result + bit;
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result = (result >> 1) + bit;
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} else {
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result = (result >> 1);
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}
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bit >>= 2;
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}
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if (n == 0) {
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// Then process it again to get the lowest 8 bits.
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if (num > 65535) {
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// The remainder 'num' is too large to be shifted left
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// by 16, so we have to add 1 to result manually and
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// adjust 'num' accordingly.
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// num = a - (result + 0.5)^2
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// = num + result^2 - (result + 0.5)^2
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// = num - result - 0.5
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num -= result;
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num = (num << 16) - 0x8000;
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result = (result << 16) + 0x8000;
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} else {
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num <<= 16;
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result <<= 16;
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}
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bit = 1 << 14;
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}
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}
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#ifndef FIXMATH_NO_ROUNDING
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// Finally, if next bit would have been 1, round the result upwards.
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if (num > result) {
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result++;
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}
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#endif
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return (fix16_t) result;
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}
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static fix16_t fix16_exp(fix16_t in_value) {
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// Function to approximate exp(); optimized more for code size than speed
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// exp(x) for x = +/- {1, 1/8, 1/64, 1/512}
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fix16_t x = in_value;
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static const uint8_t NUM_EXP_VALUES = 4;
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static const fix16_t EXP_POS_VALUES[4] = {F16(2.7182818), F16(1.1331485), F16(1.0157477), F16(1.0019550)};
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static const fix16_t EXP_NEG_VALUES[4] = {F16(0.3678794), F16(0.8824969), F16(0.9844964), F16(0.9980488)};
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const fix16_t* exp_values;
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fix16_t res, arg;
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uint16_t i;
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if (x >= F16(10.3972))
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return FIX16_MAXIMUM;
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if (x <= F16(-11.7835))
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return 0;
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if (x < 0) {
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x = -x;
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exp_values = EXP_NEG_VALUES;
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} else {
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exp_values = EXP_POS_VALUES;
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}
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res = FIX16_ONE;
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arg = FIX16_ONE;
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for (i = 0; i < NUM_EXP_VALUES; i++) {
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while (x >= arg) {
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res = fix16_mul(res, exp_values[i]);
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x -= arg;
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}
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arg >>= 3;
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}
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return res;
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}
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static void voc_algorithm_init_instances(VocAlgorithmParams* params);
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static void voc_algorithm_mean_variance_estimator_init(VocAlgorithmParams* params);
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static void voc_algorithm_mean_variance_estimator_init_instances(VocAlgorithmParams* params);
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static void voc_algorithm_mean_variance_estimator_set_parameters(VocAlgorithmParams* params, fix16_t std_initial,
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fix16_t tau_mean_variance_hours,
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fix16_t gating_max_duration_minutes);
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static void voc_algorithm_mean_variance_estimator_set_states(VocAlgorithmParams* params, fix16_t mean, fix16_t std,
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fix16_t uptime_gamma);
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static fix16_t voc_algorithm_mean_variance_estimator_get_std(VocAlgorithmParams* params);
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static fix16_t voc_algorithm_mean_variance_estimator_get_mean(VocAlgorithmParams* params);
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static void voc_algorithm_mean_variance_estimator_calculate_gamma(VocAlgorithmParams* params,
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fix16_t voc_index_from_prior);
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static void voc_algorithm_mean_variance_estimator_process(VocAlgorithmParams* params, fix16_t sraw,
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fix16_t voc_index_from_prior);
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static void voc_algorithm_mean_variance_estimator_sigmoid_init(VocAlgorithmParams* params);
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static void voc_algorithm_mean_variance_estimator_sigmoid_set_parameters(VocAlgorithmParams* params, fix16_t l,
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fix16_t x0, fix16_t k);
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static fix16_t voc_algorithm_mean_variance_estimator_sigmoid_process(VocAlgorithmParams* params, fix16_t sample);
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static void voc_algorithm_mox_model_init(VocAlgorithmParams* params);
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static void voc_algorithm_mox_model_set_parameters(VocAlgorithmParams* params, fix16_t sraw_std, fix16_t sraw_mean);
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static fix16_t voc_algorithm_mox_model_process(VocAlgorithmParams* params, fix16_t sraw);
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static void voc_algorithm_sigmoid_scaled_init(VocAlgorithmParams* params);
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static void voc_algorithm_sigmoid_scaled_set_parameters(VocAlgorithmParams* params, fix16_t offset);
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static fix16_t voc_algorithm_sigmoid_scaled_process(VocAlgorithmParams* params, fix16_t sample);
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static void voc_algorithm_adaptive_lowpass_init(VocAlgorithmParams* params);
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static void voc_algorithm_adaptive_lowpass_set_parameters(VocAlgorithmParams* params);
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static fix16_t voc_algorithm_adaptive_lowpass_process(VocAlgorithmParams* params, fix16_t sample);
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void voc_algorithm_init(VocAlgorithmParams* params) {
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params->mVoc_Index_Offset = F16(VOC_ALGORITHM_VOC_INDEX_OFFSET_DEFAULT);
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params->mTau_Mean_Variance_Hours = F16(VOC_ALGORITHM_TAU_MEAN_VARIANCE_HOURS);
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params->mGating_Max_Duration_Minutes = F16(VOC_ALGORITHM_GATING_MAX_DURATION_MINUTES);
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params->mSraw_Std_Initial = F16(VOC_ALGORITHM_SRAW_STD_INITIAL);
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params->mUptime = F16(0.);
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params->mSraw = F16(0.);
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params->mVoc_Index = 0;
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voc_algorithm_init_instances(params);
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}
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static void voc_algorithm_init_instances(VocAlgorithmParams* params) {
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voc_algorithm_mean_variance_estimator_init(params);
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voc_algorithm_mean_variance_estimator_set_parameters(
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params, params->mSraw_Std_Initial, params->mTau_Mean_Variance_Hours, params->mGating_Max_Duration_Minutes);
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voc_algorithm_mox_model_init(params);
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voc_algorithm_mox_model_set_parameters(params, voc_algorithm_mean_variance_estimator_get_std(params),
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voc_algorithm_mean_variance_estimator_get_mean(params));
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voc_algorithm_sigmoid_scaled_init(params);
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voc_algorithm_sigmoid_scaled_set_parameters(params, params->mVoc_Index_Offset);
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voc_algorithm_adaptive_lowpass_init(params);
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voc_algorithm_adaptive_lowpass_set_parameters(params);
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}
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void voc_algorithm_get_states(VocAlgorithmParams* params, int32_t* state0, int32_t* state1) {
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*state0 = voc_algorithm_mean_variance_estimator_get_mean(params);
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*state1 = voc_algorithm_mean_variance_estimator_get_std(params);
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}
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void voc_algorithm_set_states(VocAlgorithmParams* params, int32_t state0, int32_t state1) {
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voc_algorithm_mean_variance_estimator_set_states(params, state0, state1, F16(VOC_ALGORITHM_PERSISTENCE_UPTIME_GAMMA));
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params->mSraw = state0;
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}
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void voc_algorithm_set_tuning_parameters(VocAlgorithmParams* params, int32_t voc_index_offset,
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int32_t learning_time_hours, int32_t gating_max_duration_minutes,
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int32_t std_initial) {
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params->mVoc_Index_Offset = (fix16_from_int(voc_index_offset));
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params->mTau_Mean_Variance_Hours = (fix16_from_int(learning_time_hours));
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params->mGating_Max_Duration_Minutes = (fix16_from_int(gating_max_duration_minutes));
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params->mSraw_Std_Initial = (fix16_from_int(std_initial));
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voc_algorithm_init_instances(params);
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}
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void voc_algorithm_process(VocAlgorithmParams* params, int32_t sraw, int32_t* voc_index) {
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if ((params->mUptime <= F16(VOC_ALGORITHM_INITIAL_BLACKOUT))) {
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params->mUptime = (params->mUptime + F16(VOC_ALGORITHM_SAMPLING_INTERVAL));
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} else {
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if (((sraw > 0) && (sraw < 65000))) {
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if ((sraw < 20001)) {
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sraw = 20001;
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} else if ((sraw > 52767)) {
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sraw = 52767;
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}
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params->mSraw = (fix16_from_int((sraw - 20000)));
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}
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params->mVoc_Index = voc_algorithm_mox_model_process(params, params->mSraw);
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params->mVoc_Index = voc_algorithm_sigmoid_scaled_process(params, params->mVoc_Index);
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params->mVoc_Index = voc_algorithm_adaptive_lowpass_process(params, params->mVoc_Index);
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if ((params->mVoc_Index < F16(0.5))) {
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params->mVoc_Index = F16(0.5);
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}
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if ((params->mSraw > F16(0.))) {
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voc_algorithm_mean_variance_estimator_process(params, params->mSraw, params->mVoc_Index);
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voc_algorithm_mox_model_set_parameters(params, voc_algorithm_mean_variance_estimator_get_std(params),
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voc_algorithm_mean_variance_estimator_get_mean(params));
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}
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}
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*voc_index = (fix16_cast_to_int((params->mVoc_Index + F16(0.5))));
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}
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static void voc_algorithm_mean_variance_estimator_init(VocAlgorithmParams* params) {
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voc_algorithm_mean_variance_estimator_set_parameters(params, F16(0.), F16(0.), F16(0.));
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voc_algorithm_mean_variance_estimator_init_instances(params);
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}
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static void voc_algorithm_mean_variance_estimator_init_instances(VocAlgorithmParams* params) {
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voc_algorithm_mean_variance_estimator_sigmoid_init(params);
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}
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static void voc_algorithm_mean_variance_estimator_set_parameters(VocAlgorithmParams* params, fix16_t std_initial,
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fix16_t tau_mean_variance_hours,
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fix16_t gating_max_duration_minutes) {
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params->m_Mean_Variance_Estimator__Gating_Max_Duration_Minutes = gating_max_duration_minutes;
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params->m_Mean_Variance_Estimator___Initialized = false;
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params->m_Mean_Variance_Estimator___Mean = F16(0.);
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params->m_Mean_Variance_Estimator___Sraw_Offset = F16(0.);
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params->m_Mean_Variance_Estimator___Std = std_initial;
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params->m_Mean_Variance_Estimator___Gamma =
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(fix16_div(F16((VOC_ALGORITHM_MEAN_VARIANCE_ESTIMATOR_GAMMA_SCALING * (VOC_ALGORITHM_SAMPLING_INTERVAL / 3600.))),
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(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
|
147
esphome/components/sgp40/sensirion_voc_algorithm.h
Normal file
147
esphome/components/sgp40/sensirion_voc_algorithm.h
Normal file
@ -0,0 +1,147 @@
|
||||
#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
|
57
esphome/components/sgp40/sensor.py
Normal file
57
esphome/components/sgp40/sensor.py
Normal file
@ -0,0 +1,57 @@
|
||||
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))
|
314
esphome/components/sgp40/sgp40.cpp
Normal file
314
esphome/components/sgp40/sgp40.cpp
Normal file
@ -0,0 +1,314 @@
|
||||
#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
92
esphome/components/sgp40/sgp40.h
Normal file
@ -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
|
@ -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
|
||||
|
@ -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:
|
||||
|
Loading…
Reference in New Issue
Block a user