Abstract: A method for dynamically determining a type (Te) of particles (1) emitted during the operation of an industrial activity (2) in a physical medium (3), the method comprising: a step of measuring the sound (E1) of the industrial activity (2) in order to determine a common sound signature (Sc), a step of determining (E2), by means of a first database (4), a first list of types of particles (MI) from the common sound signature (Sc), a step of measuring the particle size (E3) of the particles (1) emitted in the physical medium (3) in order to determine a common particle size signature (Gc), a step of determining (E4), by means of a second database (5) a second list of types of particles (NI) from the common particle size signature (Gc), a step of determining (E7) the type (Te) of particles (1) by intersecting the lists of types of particles (MI, NI).

Abstract: This disclosure describes a method for determining, in real time and continuously, an amount of particles of a given material in a sample, including steps of: E1: optically measuring a signature of the sample by an optical sensor; E2: identifying, by a processing unit, the type of the sample by a classification model trained on a training database including a plurality of reference signatures, each reference signature being associated with a reference sample type; and E3: determining, by the processing unit, the amount of particles of the given material in the sample based on the identified sample type and a correspondence table associating, with each of a plurality of reference sample types, a reference amount of particles of the given material.

Abstract: Disclosed is a method for calibrating a sensor to be calibrated by means of a reference sensor, the sensor to be calibrated being configured to determine a chemical signal based on a conversion function for converting an electrical signal, the reference sensor being configured to determine a reference signal, the method having: ? measuring, during a reference time period, a first chemical signal (S1P1) and a first reference signal (S2P1) and, during a test period, a second chemical signal (S1P2) and a second reference signal (S2P2), ? determining regression functions (gP1, gP2) defined as follows: S2P1=gP1(S1P1) and S2P2=gP2(S2P2), ? calculating a difference between the regression functions (gP1, gP2) and ? when the difference is greater than a reference difference, determining an optimized conversion function.

Abstract: A method for using a chemical capture system with integrated calibration having a chamber which comprises an opening and a closing member, as well as a chemical sensor to be calibrated and a photoionization sensor which are positioned in the chamber, in which method: —during a measurement step, the sensor to be calibrated and the photoionization sensor measure the gas mixture present in the chamber, defining an open interior space, so as to identify the gas mixture and—during a calibration step, the photoionization sensor generates ozone by photoionizing the dioxygen in the chamber, defining a closed interior space free of gas mixture, and the sensor to be calibrated measures the generated ozone, the difference between said measurement and a reference measurement making it possible to calibrate said sensor.

Abstract: This disclosure describes a method for determining, in real time and continuously, an amount of particles of a given material in a sample, including steps of: E1: optically measuring a signature of the sample by an optical sensor; E2: identifying, by a processing unit, the type of the sample by a classification model trained on a training database including a plurality of reference signatures, each reference signature being associated with a reference sample type; and E3: determining, by the processing unit, the amount of particles of the given material in the sample based on the identified sample type and a correspondence table associating, with each of a plurality of reference sample types, a reference amount of particles of the given material.

Abstract: A method for detecting a gas quantity of a predetermined gas by a sensor having a sensitive layer configured to measure a plurality of gases, having an impedance Zs and a heating layer, the method include a step of supplying the heating layer with a voltage ramp defining a linear change in the supply voltage between a low voltage value and a high voltage value to modify the temperature of the sensitive layer during a variation period, a step of measuring variations in the impedance of the sensitive layer at a plurality of temperatures of the sensitive layer during the variation period, so as to detect a plurality of gas quantities, and a step of comparing a variation of the impedance at a given temperature of the sensitive layer to associate the gas quantity measured with a predetermined gas.

Abstract: A method for using a chemical capture system with integrated calibration having a chamber which comprises an opening and a closing member, as well as a chemical sensor to be calibrated and a photoionization sensor which are positioned in the chamber, in which method: —during a measurement step, the sensor to be calibrated and the photoionization sensor measure the gas mixture present in the chamber, defining an open interior space, so as to identify the gas mixture and —during a calibration step, the photoionization sensor generates ozone by photoionizing the dioxygen in the chamber, defining a closed interior space free of gas mixture, and the sensor to be calibrated measures the generated ozone, the difference between said measurement and a reference measurement making it possible to calibrate said sensor.

Abstract: Disclosed is a method for calibrating a sensor to be calibrated by means of a reference sensor, the sensor to be calibrated being configured to determine a chemical signal based on a conversion function for converting an electrical signal, the reference sensor being configured to determine a reference signal, the method having: ? measuring, during a reference time period, a first chemical signal (S1P1) and a first reference signal (S2P1) and, during a test period, a second chemical signal (S1P2) and a second reference signal (S2P2), determining regression functions (gP1, gP2) defined as follows: S2P1=gP1(S1P1) and S2P2=gP2(S2P2), calculating a difference between the regression functions (gP1, gP2) and ? when the difference is greater than a reference difference, determining an optimized conversion function.