A temperature state of one or more fluids in one or more enclosures is determined. Acoustic data is collected using a microphone. Frequency domain features are determined based on the acoustic data, where the frequency domain features are obtained across a frequency range of the acoustic data. The frequency domain features are correlated to the output of a machine learning acoustic analysis model and the one or more fluids are classified based on temperature based on the correlated one or more frequency domain features. In addition, the machine learning acoustic analysis model is trained by recording acoustic training data using a microphone and collecting temperature data for a fluid across a range of temperatures for the fluid. Frequency domain features are determined across a frequency range of the acoustic training data and the frequency domain features are correlated to the temperature data for a fluid.

The invention relates to a heat flux sensor including: a heating wire (1) including a material capable of being taken to a determined temperature by Joule effect, suited to being connected to an electrical source, a resonator (2) of nano electro mechanical system (NEMS) type including: a beam (20) suspended with respect to a support (21), an actuating device (22) capable of generating a vibration of said beam under the effect of an excitation signal, a detection device configured to measure a displacement of said beam in the course of said vibration and to emit an output signal having a resonance at the resonance frequency of the resonator, said resonance frequency depending on the temperature of the beam,
wherein one end (20a) of the beam (20) is integral with the heating wire (1) so as to enable a conduction of heat from the heating wire to the beam, a variation in temperature of the heating wire induced by a variation in a characteristic of a fluid surrounding said wire causing a variation in the resonance frequency of the resonator.

A temperature state of one or more fluids in one or more enclosures is determined. Acoustic data is collected using a microphone. Frequency domain features are determined based on the acoustic data, where the frequency domain features are obtained across a frequency range of the acoustic data. The frequency domain features are correlated to the output of a machine learning acoustic analysis model and the one or more fluids are classified based on temperature based on the correlated one or more frequency domain features. In addition, the machine learning acoustic analysis model is trained by recording acoustic training data using a microphone and collecting temperature data for a fluid across a range of temperatures for the fluid. Frequency domain features are determined across a frequency range of the acoustic training data and the frequency domain features are correlated to the temperature data for a fluid.

Systems and methods for determining a weight of a quantity of fluid, or a flow rate of the fluid by weight. An acoustic sensor positioned on an exterior wall of a vessel containing the fluid determines a fill level of the fluid. A computerized device calculates a weight of the quantity of fluid using a size of the vessel, the determined fill level, a temperature of the fluid, and the fluid identity and/or a fluid density. Flow rate of the fluid through a pipe is determined using two or more acoustic sensors positioned at different locations on a pipe, and a temperature sensor. A computer calculates a differential time of flight of the fluid based on readings of the acoustic sensor, a distance therebetween, the temperature sensor, the pipe volume, and the fluid identity and/or a fluid density. A flow by weight of the quantity of fluid is determined.

Systems and methods for determining a weight of a quantity of fluid, or a flow rate of the fluid by weight. An acoustic sensor positioned on an exterior wall of a vessel containing the fluid determines a fill level of the fluid. A computerized device calculates a weight of the quantity of fluid using a size of the vessel, the determined fill level, a temperature of the fluid, and the fluid identity and/or a fluid density. Flow rate of the fluid through a pipe is determined using two or more acoustic sensors positioned at different locations on a pipe, and a temperature sensor. A computer calculates a differential time of flight of the fluid based on readings of the acoustic sensor, a distance therebetween, the temperature sensor, the pipe volume, and the fluid identity and/or a fluid density. A flow by weight of the quantity of fluid is determined.

Systems and methods for determining a weight of a quantity of fluid, or a flow rate of the fluid by weight. An acoustic sensor positioned on an exterior wall of a vessel containing the fluid determines a fill level of the fluid. A computerized device calculates a weight of the quantity of fluid using a size of the vessel, the determined fill level, a temperature of the fluid, and the fluid identity and/or a fluid density. Flow rate of the fluid through a pipe is determined using two or more acoustic sensors positioned at different locations on a pipe, and a temperature sensor. A computer calculates a differential time of flight of the fluid based on readings of the acoustic sensor, a distance therebetween, the temperature sensor, the pipe volume, and the fluid identity and/or a fluid density. A flow by weight of the quantity of fluid is determined.

Systems and methods for determining a weight of a quantity of fluid, or a flow rate of the fluid by weight. An acoustic sensor positioned on an exterior wall of a vessel containing the fluid determines a fill level of the fluid. A computerized device calculates a weight of the quantity of fluid using a size of the vessel, the determined fill level, a temperature of the fluid, and the fluid identity and/or a fluid density. Flow rate of the fluid through a pipe is determined using two or more acoustic sensors positioned at different locations on a pipe, and a temperature sensor. A computer calculates a differential time of flight of the fluid based on readings of the acoustic sensor, a distance therebetween, the temperature sensor, the pipe volume, and the fluid identity and/or a fluid density. A flow by weight of the quantity of fluid is determined.

The invention relates to a heat flux sensor including:

a heating wire (1) including a material capable of being taken to a determined temperature by Joule effect, suited to being connected to an electrical source,

a resonator (2) of nano electro mechanical system (NEMS) type including: a beam (20) suspended with respect to a support (21), an actuating device (22) capable of generating a vibration of said beam under the effect of an excitation signal, a detection device configured to measure a displacement of said beam in the course of said vibration and to emit an output signal having a resonance at the resonance frequency of the resonator, said resonance frequency depending on the temperature of the beam,
wherein one end (20a) of the beam (20) is integral with the heating wire (1) so as to enable a conduction of heat from the heating wire to the beam, a variation in temperature of the heating wire induced by a variation in a characteristic of a fluid surrounding said wire causing a variation in the resonance frequency of the resonator.

A sensor assembly is provided for conductivity measurement and ultrasonic temperature measurement. The assembly includes an elongated sensor body aligned along a longitudinal axis extending from an electronics housing. The sensor body has a plurality of elongated electrodes disposed about the longitudinal axis defining a measurement section, and a pair of ultrasonic transceivers mounted to the body in spaced relationship across the measurement section, in which a first transceiver of the pair is attached to a proximal end of the sensor body and a second transceiver of the pair is attached to a distal end of the sensor body across the measurement section. The electronics housing is in operable communication with the plurality of electrodes and to the pair of ultrasonic transceivers to measure fluid parameters within the measurement section.

A flow sensor comprises an electroactive material device. A driver controls the electroactive material device to deliver heat locally to the flowing medium for which the flow is to be sensed. Temperature sensing signals are obtained and these are used to derive a flow measurement. The way the heat is dissipated relates to the flow, and it is measurable based on the temperature sensing signals. The temperature sensing involves measuring an electrical characteristic which comprises an impedance or an impedance phase angle of the electroactive material device at at least a first frequency and at a second frequency different from the first frequency. The influences of temperature and pressure can in this way be decoupled so that the temperature can be measured at any pressure.