| Place | Category | Project Name |
|---|---|---|
| [1] | Getting Started | Adjustable Air Quality Monitoring & Analysis Platform |
- ppm = a*ratio^b (a: valuea b: valueb)
- ppm = 10^[(log10(ratio)-b)/m] (m: logm b: logb)
If R^2 equals 1 :
a*ratio^b = 10^[(log10(ratio)-b)/m]
logm = valueb, logb = log10(valuea)
[(1,10), (2,4), (3,3)]
loge(b) = ln(b)
(ln(1),ln(10)) for ≈ (0,2.3026)
(ln(2),ln(4)) ≈ (0.6931,1.3863) and
(ln(3),ln(3)) ≈ (1.0986,1.0986)
b = ∑ i=1 n (x i − x ˉ ) 2 ∑ i=1 n (xi − xˉ)(yi−yˉ)
ln(x):(0,0.6931,1.0986)ln(y):(2.3026,1.3863,1.0986)ln(y)ˉ=(2.3026+1.3863+1.0986)/3≈1.5958
ln(x)ˉ=(0+0.6931+1.0986)/3≈0.5972
b = (0−0.5972)(2.3026−1.5958)+(0.6931−0.5972)(1.3863−1.5958)+(1.0986−0.5972)(1.0986−1.5958)/(0−0.5972)^2+(0.6931−0.5972)^2+(1.0986−0.5972)^2 ≈ -1.2
ln(a) = − ln ˉ (y) - b ln ˉ (x) ≈ 1.5958−(−1.2)⋅0.5972≈2.31244
a=e^2.31244 ≈ 9.947
y = mx+ n
n = b
log10(y) = m*log10(x) + b
-b = m*log10(x) - log10(y)
last b = log10(y) - m*log10(x)
m = (y - y0) / (x - x0)
m = (log10(y) - log10(y0)) / (log10(x) - log10(x0))
if y= a*x^b:
last m = log10(y/y0) / log10(x/x0)
m = slope of the line
b = intersection point
m = log10(y/y0) / log10(x/x0)
b = log10(y) - m*log10(x)
if r_squared >= 0.9995:
print("R-squared value for {gas name} is above 0.9995, plotting against first and last values.")
x0, y0 = x[0], y[0]
xn, yn = x[-1], y[-1]
b = np.log10(yn/y0) / np.log10(xn/x0)
a = 10**(np.log10(yn) - b * np.log10(xn))
b2 = np.log10(yn) - b * np.log10(xn)
b2_rounded = round(b2, 4)
a_rounded = round(a, 4)
b_rounded = round(b, 4)
The first formula is determined according to all points (OldCurve.py, OldCurve), while the second formula is determined according to the first and last point. Therefore, in order to collect them all in the same formula and to increase the accuracy rate, we used the method in the second formula and took the logarithm (if R^2 = 1 (%100) always: logm = valueb, logb = log10(valuea)) for slopes greater than 99.95% and collected them all in the first formula, thus we increased the accuracy rate without having to use 2 different formulas (Regression.py, NewCurve).
V = I x R -> VRL = [VC / (RS + RL)] x RL -> VRL = (VC x RL) / (RS + RL)
RS: -> VRL x (RS + RL) = VC x RL -> (VRL x RS) + (VRL x RL) = VC x RL -> (VRL x RS) = (VC x RL) - (VRL x RL)
RS = [(VC x RL) - (VRL x RL)] / VRL -> RS = [(VC x RL) / VRL] – RL
Rs = (voltage * Rload) / (voltage/2^n-1)) - (Rload)
analogRead(pin) / bitadc -> calibrationPercentile / 100
Rs = bitadc * Rload / analogRead(pin) - Rload -> calibrationRs = 100 * Rload / calibrationPercentile – Rload
Ro = calibrationRs / Air ||| ratio = Rs / Ro -> ratio = Rs / (calibrationRs / Air) -> ratio = Rs x Air / calibrationRs
Ratio = (bitadc * Rload / analogRead(pin) – Rload) * RsRoMQAir / (100 * Rload / calibrationPercentile – Rload) [Rs / Ro]
(1) if ratio = Rs / Ro:
ratio = (bitadc * Rload / analogRead(pin) – Rload) * RsRoMQAir / (100 * Rload / calibrationPercentile – Rload)
(2) if ratio = Rs / Rs:
ratio = (bitadc * Rload / analogRead(pin) – Rload) / (100 * Rload / calibrationPercentile – Rload) [No RsRoMQAir]
(3) if ratio = Ro / Rs:
ratio = (bitadc * Rload / analogRead(pin) – Rload) * RsRoMQAir / (100 * Rload / calibrationPercentile – Rload)
But: slpoe = slope x -1
valueb() = valueb() * -1
logm() = logm() * -1
float MQSpaceData::readValue()
{
if (_ratioMode == "Ro/Rs") _vb = _vb * -1;
return pow(ratio(),_vb)*_va;
}
float MQSpaceData::logValue()
{
if (_ratioMode == "Ro/Rs") _mlog = _mlog * -1;
return pow(10,((log10(ratio())-_blog)/_mlog));
}
STATUS 1: MQ-2, MQ-3, MQ-4, MQ-5, MQ-6, MQ-7, MQ-8, MQ-9, MQ-135, MQ-136, MQ-137 [Almost All & Standart]
STATUS 2: MQ303A, MQ307A, MQ309A [A models]
STATUS 3: MQ131 [MQ131 only]
"The first and only Arduino library where Geiger Counter and MQ Sensors combine with Data Science"
"The first and only Arduino library where Geiger Counter and MQ Sensors combine with Data Science"
"The first and only Arduino library where Geiger Counter and MQ Sensors combine with Data Science"
NOTE: [For detailed explanation, You can also check out the github wiki page] https://github.com/abcdaaaaaaaaa/MQSpaceData.h/wiki
- MQ Sensor Datasheet
- Start with MQ-X
- Data-Science
- Sensor Electronics
- Configure your RL value
- Calculate ppm Values
- Calibrate Ro
- Geiger Counter
MQ Sensor List: [MQ-2, MQ-3, MQ-4, MQ-5, MQ-6, MQ-7, MQ-8, MQ-9, MQ131, MQ-135, MQ-136, MQ-137, MQ303A, MQ307A, MQ309A]
