Flusso FLS110 Sensor Calibration Use Case

Example demonstrating real-time output uncertainty estimation for calibrated ADC values from the Flusso FLS110 sensor¹.

Introduction

The FLS110 is an analogue mass flow sensor.

Getting started

The correct way to clone this repository to get the submodules is:

	git clone --recursive [email protected]:signaloid/Signaloid-Demo-Sensors-FlussoFLS110ConversionRoutines.git

If you forgot to clone with --recursive and end up with empty submodule directories, you can remedy this with:

	git submodule update --init

Running the application locally

Apart from using Signaloid's Cloud Compute Platform, you can compile and run this application locally. Local execution is essentially a native Monte Carlo implementation, that uses GNU Scientific Library (GSL)² to generate samples for the different input distributions. In this mode the application stores the generated output samples, in a file called data.out. The first line of data.out contains the execution time of the Monte Carlo implementation in microseconds (μs), and each next line contains a floating-point value corresponding to an output sample value. Please note, that for the Monte Carlo output mode, you need to select a single output to calculate, using (-S) command-line option.

In order to compile and run this application in the native Monte Carlo mode:

0. Install dependencies (e.g., on Linux):

sudo apt-get install libgsl-dev libgslcblas0

1. Compile natively (e.g., on Linux):

cd src/
gcc -I. -I/opt/local/include main.c utilities.c common.c uxhw.c -L/opt/local/lib -o native-exe -lgsl -lgslcblas -lm

2. Run the application in the MonteCarlo mode, using (-M) command-line option:

./native-exe -M 10000 -S 0

The above program runs 10000 Monte Carlo iterations, calculating the output chosen by (-S 0) command-line option. 3. See the output samples generated by the local Monte Carlo execution:

cat data.out

Inputs

The inputs to the FLS110 sensor conversion algorithms are the heat power transfer of the gas in flow in Watts ($h$), the temperature flow in Kelvin measured by the firmware ($T_{flow}$), the temerature in Kelvin when the zero-point offset was determined ($T_0$), the pressure flow in Pascal measured by the firmware ($P_{flow}$) and the pressure in Pascal when the zero-point offset was determined ($P_0$). The algorithm models the uncertainty in the above quantities using uniform distributions.

The uncertainty in $h$ is modeled as a (UniformDist(0.01, 0.05)) Watts.

The uncertainty in $T_{flow}$ is modeled as a (UniformDist(293.0, 294.0)) Kelvin.

The uncertainty in $T_0$ is modeled as a (UniformDist(273.0, 273.5)) Kelvin.

The uncertainty in $P_{flow}$ is modeled as a (UniformDist(420.0, 425.0)) kPa.

The uncertainty in $P_0$ is modeled as a (UniformDist(400.0, 405.0)) kPa.

Outputs

The output can be the calibrated Mass Flow output in sccm ($MassFlow$) or the Differential Pressure in Pascal ($DP$). Select between the different outputs using the -S command-line parameter:

• -S 0: Calculates the calibrated Mass Flow output of the FLS110 sensor, given by

$$\mathrm{Mass Flow} = C_3 h^3 + C_2h^2 + C_1h$$

where $C_1$, $C_2$, and $C_3$ are constants:

$$\mathrm{C_1}=2499.26$$ $$\mathrm{C_2}=117682.20$$ $$\mathrm{C_3}=-314364.00$$

Following is an example output, using Signaloid's C0Pro-S+ core:

• -S 1: Calculates the calibrated Differential Pressure output of the FLS110 sensor, given by

$$\mathrm{DP} = MassFlow * \frac{T_{flow}}{T_0} * \frac{P_0}{P_{flow}}$$

Following is an example output, using Signaloid's C0Pro-S core:

• -S 2: Calculates all previous calibrated outputs. Selected by default.

Usage

Example: FlussoFLS110 sensor conversion routines - Signaloid version

	[-o, --output <Path to output CSV file : str>] (Specify the output file.)
	[-S, --select-output <output : int>] (Compute 0-indexed output. Calculate all possible outputs if equal to 2. Default value: 2.)
	[-M, --multiple-executions <Number of executions : int (Default: 1)>] (Repeated execute kernel for benchmarking.)
	[-T, --time] (Timing mode: Times and prints the timing of the kernel execution.)
	[-b, --benchmarking] (Benchmarking mode: Generate outputs in format for benchmarking.)
	[-j, --json] (Print output in JSON format.)
	[-h, --help] (Display this help message.)

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Footnotes

1. FLS110 Datasheet. ↩

2. GNU Scientific Library. ↩