Patent classifications
G01N2291/02416
TECHNIQUES FOR MONITORING SLUMP CHARACTERISTIC OF CONCRETE IN A ROTATING CONTAINER OR DRUM
A system features an acoustic sensor configured to mount on a wall of a mixing drum, sense an acoustic characteristic of a mixture of a slurry, including concrete, contained in a mixing drum when rotating, and provide acoustic sensor signaling containing information about the acoustic characteristic sensed; and a signal processor configured to receive the acoustic sensor signaling, and determine corresponding signaling containing information about a slump characteristic of the mixture of concrete contained in the mixing drum, based upon the signaling received.
Ultrasonic based internal inspection of tubes
A sensor assembly communicatively coupled to a processing device is configured to be disposed within and move along a pipe configured to flow a fluid. The sensor assembly includes a tubular housing configured to be centrally retained within the pipe. The tubular housing includes an outer diameter smaller than an internal diameter of the pipe. The sensor assembly also includes a plurality of ultrasonic elements coupled to and distributed evenly along an external surface of the tubular housing to define a gap between an outer surface of the ultrasonic elements and an internal surface of the pipe. The ultrasonic elements are configured to transmit ultrasonic signals and sense ultrasonic signals reflected from the internal surface of the pipe to sense corrosion and scale buildup information inside the pipe. The ultrasonic elements are configured to transmit the information to the processing device.
TECHNIQUES FOR MONITORING SLUMP CHARACTERISTIC OF CONCRETE IN A ROTATING CONTAINER OR DRUM
A system features an acoustic sensor configured to mount on a wall of a mixing drum, sense an acoustic characteristic of a mixture of a slurry, including concrete, contained in a mixing drum when rotating, and provide acoustic sensor signaling containing information about the acoustic characteristic sensed; and a signal processor configured to receive the acoustic sensor signaling, and determine corresponding signaling containing information about a slump characteristic of the mixture of concrete contained in the mixing drum, based upon the signaling received.
Systems and methods for measuring properties of particles
Systems and methods for measuring the properties (e.g., mechanical properties) of particles such as biological entities, in a fluidic channel(s) are generally provided. In some embodiments, the systems and methods comprise measuring an acoustic scattering of single particles. For example, a single particle (e.g., a biological entity) may be flowed in a suspended fluidic channel (e.g., a suspended microfluidic channel) and the fluidic channel is oscillated at or near a (mechanical) resonant frequency (e.g., at a second or higher bending mode) of the suspended fluidic channel. In some cases, an acoustic scattering signal (e.g., the change in resonant frequency of the fluidic channel as the particle flows along a longitudinal axis of the channel) may correspond to a property (e.g., a mechanical property, a cross-linking density, a transport rate of small molecules into/out of the particle) of the particle. In certain embodiments, the systems and methods comprise determining a node deviation due to a single particle (or node deviations for a plurality of particles).
Monitoring apparatus for guttering system
An apparatus which includes a mounting, a plurality of detectors provided to detect a condition of at least on parameter indicative of presence of one or more materials in a gutter channel and data processing capabilities. A sequence of signals are transmitted and received when the apparatus is in a detection mode, and the data processing analyses the received signals to provide an indication if a material is detected as being present in the channel and, if detected, a type of the material. On the basis of this analysis and identification of material, decision can be made as to whether any remedial action is required to clear the material and/or decide upon an ongoing monitoring and maintenance.
Turbidity sensor based on ultrasound measurements
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.
High temperature ultrasonic transducers and signal connectors
Pressure vessels that operate at elevated temperatures and pressures (e.g., 600° F./316° C., 20000 psig), and ultrasonic transducers and signal connectors for use therein, are described. The pressure vessels include a housing defining a cavity. The housing includes a cylindrical body with plugs positioned within openings of the cylindrical body. Each plug has a recess extending from an external surface to a location ultrasonically adjacent the cavity. The pressure vessels additionally include transducer assemblies positioned within respective plug recesses. Each transducer assembly includes a signal connector positioned within the recess adjacent the external surface, a transducer having a piezoceramic element positioned within the recess at the location ultrasonically adjacent the cavity, and a metallic interconnection spring interconnecting the transducer to the signal connector.
Method and apparatus for providing real time air measurement applications in wet concrete using dual frequency techniques
Apparatus is provided having an acoustic-based air probe with an acoustic source configured to provide an acoustic signal into a mixture of concrete; and an acoustic receiver configured to be substantially co-planar with the acoustic source, to respond to the acoustic signal, and to provide signaling containing information about the acoustic signal injected into the mixture of concrete.
Cement analyzer measures gas migration and gel strength
The present invention pertains to a method and experimental apparatus for studying properties of cement slurry to be used in an oil or gas well under varied pressure and temperature conditions. This apparatus can be used to predict the likelihood of gas migration, compressive strength and static gel strength of cement slurry. It comprises a servo motor and coupling magnets to drive a paddle at a very slow speed through the cement in a pressure vessel, a pair of acoustic transducers to generate an acoustic signal and measure the transit time of the acoustic signal after it transits the cement, and a gas injection system to predict the severity of gas migration in cement.
ULTRASONIC METHOD AND SYSTEM FOR FLUID QUALITY MEASUREMENT, CLASSIFICATION, AND MONITORING
A system and method for determining fluid quality or change in quality by training machine learning algorithms using ultrasound Fast Fourier Transform (FFT) signatures. The system includes one or more ultrasonic transducers embedded inside or outside of a pipe, piping, or vessel that allows a fluid to flow past or between the ultrasound transducers. The transducer's acoustic energy creates ultrasound pressure waves and localized heat due to acoustic cavitation. The cavitation creates bubbles that collapse creating ultrasound sonic energy in the time domain. Unique sonic time-domain signatures, distinctively associated with the characteristics of the fluids, are converted to FFTs to produce unique, well-defined frequency response signatures. Machine learning algorithms are used to identify, measure, and classify the unique frequency response signatures associated with a wide range of fluids.