Deriving a dangerous area of a road based on a vehicle's noise generated on the road or analyzing a road surface condition based on a driving noise for each vehicle type. An audio signal is collected by a sensor device and send to a noise processing unit. The noise processing unit generates an attenuated audio signal by attenuating a noise other than a noise-of-interest including at least one of a vehicle horn noise and a vehicle sudden brake noise in the received audio signal. An information processing unit detects the noise-of-interest by analyzing the attenuated audio signal through a learned detection model, and establishes a road area within a predetermined radius from the sensor device as the dangerous area of the road based on an accumulated number of times the noise-of-interest is detected.

A system for non-destructive testing of a bond condition of concrete beams reinforced by steel rods is described. The system includes a transducing transmitter, a transducing receiver, and an ultrasonic pulse generator configured to generate drive signals for the transducing transmitter and receive a plurality vibrational waves at the transducing receiver. The system further includes a computing device including a measurement circuit configured to record a transit time for each vibrational wave and divide a distance between the transducing transmitter and the transducing receiver by the transit time to determine a pulse velocity of each vibrational wave, a comparison circuit configured to identify a highest pulse velocity of the vibrational waves and compare each highest pulse velocity to a first reference pulse velocity, and a decision circuit including an artificial neural network configured to identify a compromised bond condition around a steel rod.

An aspect provides an ultrasound device for non-destructive evaluation of a butt-fusion joint or electro-fusion joint, the device comprising: an ultrasonic unit; a transducer operable remotely from the ultrasonic unit and including an ultrasound signal transmitter positionable to transmit the signal towards the joint, and an ultrasound signal receiver positionable to detect a reflection of the signal; a processor; memory including instructions executable by the processor and first data relating to a plurality of first sample joints of acceptable quality and second data relating to a plurality of second sample joints of unacceptable quality; and an output device. The instructions include a machine learning algorithm trained for analysis of the joint and to send assessment output to the output device indicative of whether the joint is of acceptable or unacceptable quality based on the signal reflection and the first and second data.

Techniques include flowing a multiphase fluid from a hydrocarbon production well through a conduit; measuring, with an ultrasonic tomographic multiphase flow meter (UMM), ultrasonic waveforms generated by the UMM from the multiphase fluid; measuring properties of the multiphase fluid with fluid measurement sensors coupled to the conduit; identifying the ultrasonic waveforms and the properties with a machine-learning control system; determining multiphase fractions of the multiphase fluid from the one or more ultrasonic waveforms with a first ML model; determining a total flow rate of the multiphase fluid from the measured properties of the multiphase fluid with a second ML model; and determining a volumetric flow rate of a liquid phase or a gas phase based on the determined multiphase fraction and the determined total flow rate.

Described herein are systems, methods, and other techniques for determining a material type while an implement of a construction machine is interacting with a ground surface. A vibration signal that is indicative of a movement of the implement is captured. One or more features are extracted from the vibration signal. The one or more features are provided to a machine-learning model to generate a model output. The material type of the ground surface is predicted based on the model output.

The present disclosure provides a system and method for real-time visualization of a material during ultrasonic non-destructive testing. The system includes a graphical user interface (GUI) capable of showing a three-dimensional (3-D) image of a composite laminate constructed of a series of two-dimensional (2-D) cross sections. The GUI is capable of displaying the 3-D image as each additional 2-D cross section is scanned by an ultrasonic testing apparatus in real time or near real time, including probable defect regions that contain a flaw such as a hole, crack, wrinkle, or foreign object within the composite. Furthermore, in one embodiment, the system includes an artificial intelligence capable of highlighting defect areas within the 3-D image in real time or near real time and providing data regarding each defect area, such as the depth, size, and/or type of each defect.

A system for monitoring rotating equipment. The system includes a sensor device that acquires vibration data, acoustic emission data, temperature data, and magnetic flux data of the rotating equipment. The sensor device includes base, holding frame, first integrated circuit, housing, and power source. The first integrated circuit includes a plurality of sensors and a microcontroller configured to receive vibration data, acoustic emission data, temperature data, magnetic flux data from plurality of sensors and determine anomalies of the rotating equipment. The system further comprises an application server that receives vibration data and magnetic flux data, determines revolutions per minute (RPM) data for rotating equipment, and diagnose faults based on processed vibration data and RPM data. The application server further generates a set of features and corresponding feature values and analyzes them to diagnose faults, and predict remaining useful life of the rotating equipment.

A carpet recognition method for a robot cleaner. The robot cleaner comprises a sleeve and an ultrasonic sensor, wherein the ultrasonic sensor is fixed in the sleeve. The recognition method comprises: controlling the ultrasonic sensor to vertically transmit an ultrasonic signal to the current ground, and to receive an actual echo signal reflected by the current ground and determining whether the actual echo signal is different from the standard echo signal of the normal ground, and if so, recognizing the current ground as a carpet surface

A system for non-destructive testing of a bond condition of concrete beams reinforced by steel rods is described. The system includes a transducing transmitter, a transducing receiver, and an ultrasonic pulse generator configured to generate drive signals for the transducing transmitter and receive a plurality vibrational waves at the transducing receiver. The system further includes a computing device including a measurement circuit configured to record a transit time for each vibrational wave and divide a distance between the transducing transmitter and the transducing receiver by the transit time to determine a pulse velocity of each vibrational wave, a comparison circuit configured to identify a highest pulse velocity of the vibrational waves and compare each highest pulse velocity to a first reference pulse velocity, and a decision circuit including an artificial neural network configured to identify a compromised bond condition around a steel rod.

The present invention is related to a device and a method using said device for the measurement and classification of bubble sizes in a liquid medium. This invention comprises two electric emitter and receiver transducers located at an angle lower than 180 degrees one with respect to the other, and ultrasonic signal emitter and receiver circuits operatively connected to the electric emitter and receiver transducer respectively. The classification of the bubble sizes is based on two-dimensional time domain patterns that represent the trace of the bubbles when they cross a generated ultrasonic field. This invention is of great utility to track processes involving the generation of bubbles in liquid media such as the froth flotation in mining.