Vibration-based flowmeters are useable in inaccessible nuclear reactor spaces. Pipe-organ-type flowmeters include a passage with an opening constricted, and subsequent widening section. An extension and outlet that create turbulence in the flow at the outlet create a standing wave and vibration in the extension and/or entire flowmeter. A flow rate of the fluid through the flowmeter can be calculated using length of the passage and/or known properties of the fluid. Multiple flowmeters of customized physical properties and types are useable together.

An agricultural system for determining crop loss of an agricultural harvester may include a support beam extending along a lateral direction between first and second lateral ends, and one or more impact sensors supported on the support beam. Each of the one or more impact sensors is configured to generate data indicative of a crop impact location of each crop impact of a plurality of crop impacts on the support beam between the first and second lateral ends. Additionally, the agricultural system may include a computing system communicatively coupled to the one or more impact sensors, where the computing system is configured to determine the crop impact location of each crop impact of the plurality of crop impacts on the support beam between the first and second lateral ends based at least in part on the data from the one or more impact sensors.

An acoustic band-pass filter assembly includes an inlet, a microphone configured to receive acoustic energy from the inlet, and a plurality of resonator chambers disposed in series between the inlet and the microphone and configured to transmit acoustic energy between the inlet and the microphone. Each of the plurality of resonator chambers has a different cross-sectional area.

A method for acoustic leakage detection in a fluid pipe network (1) uses at least one ultrasonic flow meter (13) installed at a pipe (15, 17). The pipe connects a consumer site (3) to the fluid pipe network. The method includes detecting at least one sound wave traveling along the pipe and/or along fluid within the pipe from a sound source to the at least one ultrasonic flow meter, determining the traveling direction of at least one of the at least one sound wave, interpreting a sound wave of the at least one sound wave as a leakage sound candidate if the determined traveling direction of said sound wave is towards the consumer site, and interpreting a sound wave of the at least one sound wave as a background noise if the determined traveling direction of said sound wave is away from the consumer site.

A system for the detection of a rate of flow or a level of a fluid or the presence of an object, such as a PIG, in pipelines, comprising at least one detection device that includes: a sensor assembly arranged to detect the rate of flow or level of a fluid withing a section of a pipeline or the presence of a pig located along the section of pipeline where the device is located, a power store, a position determining module, a radio frequency receiver, and a radio frequency transmitter, in which the detection device has a sleep mode in which the sensor assembly is inactive and has a first power consumption and an active mode in which the sensor assembly is active and the detection device has a second, higher, power consumption when the sensor assembly of the device is actively detecting, the device in the active mode also being arranged to transmit signals from the transmitter that are indicative of the detected property of the fluid or presence of an apparatus along the section of the pipeline; and in which the device is configured to switch between the sleep mode and the active mode in response to radio frequency signals received by the receiver.

A method for predicting fluid fractions is provided. The method includes building, from pressure, temperature, a fluid speed parameter, speed of sound, and fluid fractions of a first fluid flow, a machine learning model programmed to estimate fluid fractions of a fluid flow as a function of at least one Distributed Acoustic Sensing (“DAS”) fluid flow parameter and at least one physical characteristic of the fluid flow; receiving at least one DAS fluid flow parameter and the at least one physical characteristic of a second fluid flow; and determining, using the machine learning model, fluid fractions of the second fluid flow from at least the at least one DAS fluid flow parameter for the second fluid flow and the at least one physical characteristic of the second fluid flow.

A flow sensor (1) of particulate solids, preferably aimed at monitoring the application of agricultural inputs in the soil, wherein it is installed externally to the input conductor, does not require contact with the input and transmits the data of monitoring in a wireless transmission. The sensor (1) in its preferred configuration has at least: a casing (1.1); a vibration transducer (1.3); an electronic board (1.4); and a battery (1.5).

An apparatus for measuring a parameter of a fluid flow passing within a pipe is provided. The apparatus includes a sensing device and a processing unit. The sensing device has a sensor array that includes at least one first macro fiber composite (MFC) strain sensor disposed at a first axial position, and at least one second MFC strain sensor disposed at a second axial position. The first axial position and the second axial position are spaced apart from one another. The at least one first MFC strain sensor and the at least one second MFC strain sensor are both configured to produce signals representative of pressure variations of the fluid flow passing within the pipe. The processing unit is configured to receive the signals from the sensor array and measure one or more fluid flow parameters based on the signals.

A method of measuring the speed of a fluid comprising the following steps: generating a plurality of pseudorandom frequencies (fus_n); for each pseudorandom frequency (fus_n), emitting ultrasound signals into the fluid to travel along a path of defined length; receiving the ultrasound signals; for each received ultrasound signal, producing a travel time measurement, so as to generate for each pseudorandom frequency (fus_n) a predefined number of travel time measurements; for each pseudorandom frequency (fus_n), evaluating the accuracy of the measurements; for evaluating the speed of the fluid, making use of the measurements produced for the pseudorandom frequency that presents the greatest accuracy.

A magneto-inductive flow measuring device (1) comprising a measuring tube (2) on which a magnet system and two or more measuring electrodes (3) are arranged and/or secured, wherein the measuring tube (2) has in- and outlet regions (11, 12) with a first cross section and wherein the measuring tube (2) has between the in- and outlet regions (11, 12) a middle segment (10), which has a second cross section, wherein the measuring electrodes (3) are arranged in the middle segment (10) of the measuring tube (2), wherein the middle segment (10) at least in the region of the measuring electrodes (3) is surrounded by a tube holder (15), which guards against cross-sectional deformation of the second cross section.