An embodiment provides a method for measuring a fluid parameter of fluid flowing in a channel, including: transmitting, using a transmitter of a device, directed energy carrying a signal toward a surface of a fluid in a fluid channel, so as to produce one or more reflections from the fluid surface; detecting, by at least one receiver of the device, one or more received signals associated with the one or more reflections so produced; and determining, based upon a measurement beam comprising characteristics of the transmitted and received signals, a fluid parameter to be measured using a processor of the device; wherein, a measurement beam characteristic is adjusted based on a distance from the device to the fluid surface. Other embodiments are described and claimed.

An embodiment provides a method for measuring velocity of fluid flow in a channel, including: transmitting, using a transmitter, directed energy carrying a signal toward a surface of a fluid in a fluid channel so as to produce a plurality reflections from locations substantially spanning the entire width of the fluid channel; detecting, using a plurality of measurement beams, received signals from the plurality of reflections so produced; determining, based upon differences between transmitted and received signals, a plurality of localized velocities; and computing, from the plurality of localized velocities, a cross-sectional average velocity of fluid in the channel. Other embodiments are described and claimed.

An embodiment provides a device for measuring a fluid parameter of fluid flow in a channel, including: a transmitter; at least one receiver; a processor operatively coupled to the at least one transmitter and the at least one receiver; a memory device that stores instructions executable by the processor to: transmit, using the transmitter, directed energy carrying a signal toward a surface of a fluid in a fluid channel, so as to produce one or more reflections from the fluid surface; detect, by the at least one receiver, one or more received signals associated with the one or more reflections so produced; determine, based upon a measurement beam comprising characteristics of the transmitted and received signals, one or more fluid parameters to be measured using a processor of the device; and associate, using a processor of the device, the one or more fluid parameters with a channel segment. Other embodiments are described and claimed.

A float assembly of a fluid-level sensor includes a float and an arm assembly. The arm assembly has a first attachment portion connectable to a fluid-level sensor and a second attachment portion connected to the float. The arm assembly further has an articulating joint that permits relative movement between the float and the first attachment portion. A sensor attached to the float.

Embodiments relate to estimating river discharge and depth. Initially, observed velocities are used to generate a maximum velocity streamline for a river section, which is then used with an observed shoreline to construct a streamline curvilinear grid. The grid is used to interpolate scattered velocity data points, which are used with a bottom friction of the river section to approximate mean total head slope values. A least squares minimization scheme is applied to a velocity-slope relationship to estimate a bottom friction and discharge coefficient by fitting a difference in the predicted mean total head elevation values between upstream and downstream ends of the river section to a respective ζ-average of the measured total head values of the river section. Discharge of the river section is determined based on the coefficient and a velocity-depth relationship and then used to generate a river forecast.

A non-invasive microwave measuring device (01) is for calculating the flow rate of a fluid. The device (01) includes a non-invasive microwave fluid velocity measuring device (03) having a patch antenna or horn antenna to generate a microwave signal (14) that is transmitted at a specific elevation angle α towards the fluid surface (16) and to receive the reflected microwave signal (15) from the fluid surface (16) with a doppler shift frequency. The measuring device (03) is suspended from a drone (02) by a suspension system (04). The suspension system (04) eliminates vibration noise generated by the drone (02). At least one vibration sensor eliminates false velocity readings. At least one angle sensor compensates for Pitch, Roll and Yaw from the drone (02) that influence the fluid surface velocity measurement.

A non-invasive microwave measuring device (01) is for calculating the flow rate of a fluid. The device (01) includes a non-invasive microwave fluid velocity measuring device (03) having a patch antenna or horn antenna to generate a microwave signal (14) that is transmitted at a specific elevation angle α towards the fluid surface (16) and to receive the reflected microwave signal (15) from the fluid surface (16) with a doppler shift frequency. The measuring device (03) is suspended from a drone (02) by a suspension system (04). The suspension system (04) eliminates vibration noise generated by the drone (02). At least one vibration sensor eliminates false velocity readings. At least one angle sensor compensates for Pitch, Roll and Yaw from the drone (02) that influence the fluid surface velocity measurement.

A sweat sensor includes a first conductor and a second conductor that are parallel with one another. The sweat sensor also includes a channel disposed between the first and second conductors. The channel is configured to receive a sample of sweat. A measure of capacitance between the first and second conductors changes based at least partially upon a volume of the sweat in the channel.

A flow detection device comprises a fluidic input port connected to a fluidic output port via a channel and a float located within the channel. A specific weight of the float exceeds a specific weight of a fluid injected in the flow detection device. Respective locations of the fluidic input port, of the channel and of the fluidic output port on the flow detection device cause the float to rise within the channel when a sufficient flow of the fluid is injected in the flow detection device. A sensor is provided to detect a position of the float within the channel. The flow detection device may be integrated in a cooling circuit having a cooling device for an electronic device to detect an eventual lack of a flow of a cooling fluid in the cooling circuit. A status of the flow of the cooling fluid is reported to a processor.

A monitoring apparatus is disclosed that includes a.) at least one acoustic pickup, b.) a sound pressure sensor acoustically coupled to the at least one acoustic pickup, and c.) a computing device interfaced to the sound pressure sensor. The at least one acoustic pickup may be submerged in or located in proximity to flowing fluid. The sound sensor is configured to acquire sound intensity waveforms naturally generated by the flowing fluid as a source of data patterns for training the apparatus as well stimuli used to generate responses about flow conditions. The computing device is configured to quantify flow parameters of the flowing fluid from sound utterances and visual appearances intrinsically expressed by the flow using machine learning models.