An instrumented coupling for pipe joints is described herein. The instrumented coupling includes a first threaded end configured to thread to a first pipe joint and a second threaded end configured to thread to a second pipe joint. The instrumented coupling also includes a sensor configured to obtain a measurement of a parameter of a well and a communications device configured to communicate to a receiving device outside of the well. The instrumented coupling further includes a processor configured to execute instructions in a data store. The instructions direct the processor to read the measurement from the sensor, compare the measurement from the sensor to a preset limit, and generate a signal within the communications device based, at least in part, on the measurement.

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.

A system and method for determining a physical parameter of a fluid in a pipe includes performing a numerical vibration simulation of the section of the pipe resulting in a computed Eigen-frequency range of computed maxima; inducing a first vibration and acquiring first maxima in an amplitude-frequency diagram; selecting a first hoop mode maximum and inducing a second vibration to acquire second maxima with a second frequency. Using a vibration mode analysis, a second hoop mode maximum is selected and the physical parameter of the fluid is derived from a difference between the first hoop mode maximum and the second hoop mode maximum.

An air data system includes an air data probe and a surface acoustic wave (SAW) sensor attached to the air data probe for detecting particulate accumulation. The air data probe includes a probe head, a strut connected to the head, and a mounting plate connected to the strut. The probe head has an inlet, an interior surface extending from the inlet, and an exterior surface extending from the inlet.

A turbidity measurement device for measuring turbidity of a fluid flowing in a flow tube. A first transducer transmits ultrasonic signals through the fluid in the turbidity measurement section so as to provide a first ultrasonic standing wave between the first and second section ends. A receiver transducer receives the ultrasonic scattered response from particles in the fluid flowing through the turbidity measurement section. A control circuit operates the transducers and generates a signal indicative of the turbidity of the fluid in response to signals received from the receiver transducer. Preferably, the device may comprise a second transducer for generating a second ultrasonic standing wave with the same frequency, and further the two transducers may be used to generate a measure of flow rate by means of known ultrasonic techniques. This flow rate may be used in the calculation of a measure of turbidity. Both turbidity facilities and flow rate facilities may be integrated in a consumption meter, such as a heat meter or a water meter.

A sensor device that includes an integrated sensor assembly having a surface acoustic wave (SAW) sensor disposed on a piezoelectric substrate. The SAW sensor is adapted to measure an environmental condition of an environment in response to an RF signal. The SAW sensor includes an interdigitated transducer (IDT) formed on a substrate having at least a layer of a piezoelectric material. The SAW sensor includes either one or more SAW reflectors of a second IDT formed on the piezoelectric material. The SAW sensor further includes an RF antenna formed on the piezoelectric material. The SAW sensor and the RF antenna are integrated with one another on the piezoelectric material.

An acoustic sensor for sensing environmental attributes within an enclosure is disclosed. The acoustic sensor may include a bulk acoustic wave (BAW) transducer configured to be installed outside the enclosure. The BAW transducer may generate an acoustic wave pulse and receive a reflected acoustic wave pulse. The acoustic sensor may further a waveguide assembly configured to be installed inside the enclosure. The waveguide assembly configured to receive the acoustic wave pulse from the BAW transducer. The acoustic sensor may further include a sensing device, wherein the sensing device may determine a change in one or more acoustic wave propagation parameters, based on the generated acoustic wave pulse and the reflected acoustic wave pulse. The sensing device may further determine one or more environmental attributes within the enclosure, based on the change in the one or more acoustic wave propagation parameters.

Pressure and pressure or displacement variations are measured in a media, such as a fluid (e.g., air, other gases, or other liquid fluids), using ultrasound. The pressure may be sound pressure (e.g., acoustic pressure), pseudo-sound pressure (e.g., hydrodynamic pressure), displacement, and so on. By measuring pressure or displacement, the flow in the fluid can be measured, estimated, parameterized, or otherwise quantified. In this way, measurements of pressure (e.g., acoustic pressure, hydrodynamic pressure) or displacement can be correlated or otherwise converted into a measurement of flow. The pressure measurements can also be converted into audio signals that can be played back to a user.

According to one embodiment, an estimating apparatus includes an insertion tube, a first sensor, a second sensor, a processing unit, an adder, and an analyzer. The insertion tube is detachably mounted midway along a coupling tube that couples an excitation source to a main unit. The first sensor is provided inside the insertion tube at a first distance from an exit of a space housing the excitation source. The second sensor is provided at a second distance from the first sensor. The processing unit performs filter processing to a first signal obtained by the first sensor. The adder adds a filtered signal and a second signal obtained by the second sensor, the first signal being the first signal having undergone filter processing by the processing unit. The analyzer analyzes a frequency of a signal obtained by the adder.

The invention relates generally to an Internet of Things (IoT) enabled wireless sensor system using attached and/or embedded passive electromagnetic sensors (PES) with distribution hardware. One embodiment of this invention includes a wireless sensor system, which permits process control and predictive maintenance on a utility's electrical transmission and distribution grid. Another embodiment includes a wireless sensor system, which permits process control and predictive maintenance of liquid or gas through a pipeline. Another embodiment includes a wireless sensor system, which permits measurement of breathable air pollutants. Furthermore, a method of manufacturing a protective passive electromagnetic sensor pod and passive electromagnetic sensor equipped distribution hardware components is provided.