A multi-path acoustic signal apparatus, system, and apparatus for use in material detection are provided. The apparatus has a plurality of acoustic sensors positioned along a first portion of a fluid container. At least one acoustic signal is transmitted into the fluid container by each of the plurality of acoustic sensors. At least one additional acoustic sensor is positioned along a second portion of the fluid container, wherein the second portion is substantially opposite the first portion. The at least one additional acoustic sensor receives at least a portion of the acoustic signals from the plurality of acoustic sensors. A reflected acoustic signal is generated from an impedance barrier between the fluid container and a fluid therein. A characteristic of a material of the fluid container and/or the fluid therein are determined.

Provided are systems and methods for line volume calibration, and measurement of fluid samples delivered to an interrogation point. In various embodiments, a known fluid volume comprising a sample line fluid and a secondary fluid is delivered to a fluid boundary sensor. The fluid boundary sensor assists in determining the position of the boundaries between the various fluids, and the positions of these boundaries are used to determine the sample line fluid volume.

A liquid immersion sensor for a mobile device with at least two acoustic transducers is described. The liquid immersion sensor may include a signal generator having a signal generator output configured to generate a signal for transmission via a first acoustic transducer, and a signal receiver having a signal receiver input configured to receive a delayed version of the generated signal via a second acoustic transducer. The signal receiver includes a signal receiver output. The liquid immersion sensor includes a controller having a first controller input for receiving a reference signal and a second controller input coupled to the signal receiver output. The controller determines a time lag value between the reference signal and the delayed signal and generates a control output signal dependent on the phase difference. The control output signal indicates if the mobile device is immersed in liquid.

A fluid measuring arrangement with a flow channel for a fluid to be measured having at least two areas of an outer wall forming waveguide parts for surface acoustic waves. The waveguide parts are spaced apart from each other along the circumference of the flow channel. A first and/or a second signal converter is arranged at each waveguide part, wherein at least two first signal converters arranged on different waveguide parts or two second signal converters arranged on different waveguide parts are spaced with respect to each other in the axial direction of the flow channel.

Systems and techniques for measuring process characteristics including electrolyte distribution in a battery cell. A non-destructive method for analyzing a battery cell includes determining acoustic features at two or more locations of the battery cell, the acoustic features based on one or more of acoustic signals travelling through at least one or more portions of the battery cell during one or more points in time or responses to the acoustic signals obtained during one or more points in time, wherein the one or more points in time correspond to one or more stages of electrolyte distribution in the battery cell. One or more characteristics of the battery cell are determined based on the acoustic features at the two or more locations of the battery cell.

Provided are systems and methods for line volume calibration, and measurement of fluid samples delivered to an interrogation point. In various embodiments, a known fluid volume comprising a sample line fluid and a secondary fluid is delivered to a fluid boundary sensor. The fluid boundary sensor assists in determining the position of the boundaries between the various fluids, and the positions of these boundaries are used to determine the sample line fluid volume.

A method for determining multi-phase flow properties of a fluid is disclosed. The method includes measuring a first time for a first ultrasonic signal to be emitted from a first transducer into the fluid, reflected off an inner surface of the pipeline, and received back at the first transducer. Measuring a second time for the first ultrasonic signal to be emitted from the first transducer into the fluid and received at a second transducer. Calculating, using the first time and the second time, at least one of: a liquid to gas ratio, a fluid density, a gas holdup, a liquid holdup, and a fluid velocity of the fluid flowing through the pipeline.

A fluid mixture parameter determination (FMPD) system for analyzing a fluid mixture while moving includes a computing system and at least one material model that includes two or more model parameters for a plurality of material compositions stored in the memory. An ultrasonic sensor and a millimeter wave (MMW) sensor are each coupled to sense the fluid mixture and are coupled to the computing system. The ultrasonic sensor is for providing ultrasonic data to the computing system including a velocity of the fluid mixture or a volumetric flow, and a velocity of sound (VoS) through the fluid mixture. The MMW sensor is for providing MMW velocity data to the computing system. The computing system is for utilizing the material model together with the ultrasonic data and the MMW velocity data for identifying parameters including a plurality of components in the fluid mixture and a concentration for the plurality of components.

Embodiments include a novel, easy to install, non-intrusive, ultrasonic water flow meter with a self-calibrating three-piezoelectric transducer configuration attached externally to a water pipe, that allows for accurate measurement of water flow, and can provide the flow data to a remote system for billing and further analysis. The water flow data can further be analyzed for water consumption by individual fixtures, in support of conservation and usage management efforts.

A non-linear dynamic process such as multiphase flow is characterized to determine a condition of the process. A sensor may obtain information about strain, vibration, flow rate, etc. during the process. That sensor data may be plotted, and at least one perceptual hash can be generated from the plot. The perceptual hash can be compared against a database storing plots or hashes for non-linear dynamic responses for different sensor types or processes. A best fit hash may be identified and used to determine what conditions are occurring in the field, or multiple near fits can define an envelope of experimental/reference conditions with similar non-linear dynamics to the field system. Multiple hash comparisons may be used to refine the envelope, determine a best fit, or determine what measurement would help discriminate the flow conditions.