A system for measuring gas flow generally including a passive acoustic wave generator disposed in a gas flow stream to passively generate an audio signal through vortex shedding, a sound capturing instrument disposed outside the gas stream to produce an electrical signal representative of the acoustic signal, a temperature sensor to obtain temperature measurements indicative of the temperature of the gas flow stream and a control system for determining the gas flow, such as velocity or flow rate, as a function of the acquired acoustic and temperature measurements. The acoustic wave generator includes a corrugated flow channel whose geometric design is so tuned to generate an acoustic emission whose frequency signature varies as a function of the gas flow velocity. The control system may acquires time-domain acoustic data, and process that data to obtain a frequency-domain representation from which gas velocity or gas flow rate can be determined.

The present invention provides techniques for recovering hydrocarbon fluids in a process flow, including recovering bitumen from a coarse tailings line. The apparatus includes a signal processor that responds to signaling containing information about the presence of a hydrocarbon fluid in a process flow; and determines corresponding signaling to control the diversion of the hydrocarbon fluid from the process flow remaining based on the signaling received. The hydrocarbon fluid may be bitumen, including bitumen flowing in a course tailings line. The signal processor receives the signaling from a velocity profile meter having sensors arranged around a circumference of a process pipe containing information about a fluid flow velocity at various levels or heights within the process pipe, including a wrap-around velocity profile meter having multiple sensing arrays located radially at a top position of 0°, a bottom position of 180°, and intermediate positions 45°, 90° and 135°.

Methods and apparatus for hydrocarbon monitoring are provided. A method that may be performed by a flowmeter or monitoring system includes receiving downhole measurements of a flowing fluid from a flowmeter; determining a standard phase fraction of the flowing fluid based on the downhole measurements from the flowmeter; receiving surface measurements of the flowing fluid; determining a surface phase fraction of the flowing fluid based on the surface measurements; comparing the standard phase fraction to the surface phase fraction; based on the comparison being greater than a predetermined threshold, using the surface measurements as a reference to adjust a speed of sound (SoS) of a first phase until a target value is achieved; and receiving additional downhole measurements of the flowing fluid from the flowmeter, wherein the flowmeter is operating using the adjusted SoS of the first phase.

Methods and systems for flow measurement can involve calculating an absolute-time-of-flight with respect to a flow of a fluid in a flow channel by reflected signals, reflected and unreflected signals, or a pulse train, determining a delta-time-of-flight with a cross correlation of two signals with respect to the flow of the fluid in the flow channel, and calculating the flow rate of the flow of the fluid in the flow channel based on the absolute-time-of-flight and the cross correlation of the delta-time-of-flight.

A smart reading device for a water meter and a controlling method thereof are provided. The smart reading device includes a fixing component, a casing, an image capturing component, an image analyzing component, and a transmitting component. The fixing component is used to be fixed onto the water meter. The casing is disposed on the fixing component. The image capturing component is disposed in the casing for capturing a numerical display area of the water meter so as to obtain a water consumption image. The water consumption image is analyzed by the image analyzing component or a relay device to obtain a water consumption value. The transmitting component is used for transmitting the water consumption value or the water consumption image to the relay device.

A peristaltic pump is disclosed that includes a plunger, a spring, an actuator, a position sensor, and a processor. The plunger actuates toward and away from a tube. The spring biases the plunger toward the tube. The actuator actuates the plunger away from the tube and mechanically engages and disengages from the plunger. The position sensor senses a position of the plunger. The processor receives the sensed position of the plunger and estimates fluid flow within the tube using a first position of the plunger when the actuator is engaged with the plunger and a second position of the plunger when the actuator is disengaged from the plunger.

Disclosed is a system and method for monitoring flow rate of a regulating valve based on an acoustic sensor. The system includes: the regulating valve installed in a fluid pipeline, the regulating valve including an actuator and a valve body and being a regulating valve calibrated by an experimental platform; the acoustic sensor installed at the regulating valve and configured to collect an acoustic signal of the regulating valve and transmit the acoustic signal to a signal transmission apparatus; the signal transmission apparatus configured to receive the acoustic signal collected by the acoustic sensor and transmit the acoustic signal to an acoustic data analysis platform; and the acoustic data analysis platform configured to monitor flow rate of the regulating valve by receiving the acoustic signal transmitted by the signal transmission apparatus.

A temperature state of one or more fluids in one or more enclosures is determined. Acoustic data is collected using a microphone. Frequency domain features are determined based on the acoustic data, where the frequency domain features are obtained across a frequency range of the acoustic data. The frequency domain features are correlated to the output of a machine learning acoustic analysis model and the one or more fluids are classified based on temperature based on the correlated one or more frequency domain features. In addition, the machine learning acoustic analysis model is trained by recording acoustic training data using a microphone and collecting temperature data for a fluid across a range of temperatures for the fluid. Frequency domain features are determined across a frequency range of the acoustic training data and the frequency domain features are correlated to the temperature data for a fluid.

A fluid monitoring system is provided, which includes at least one fluid vibration sensing unit to provide at least one fluid vibration signal from at least one location on a measuring chamber of a meter to be monitored. The system also includes one or more display units, and a control unit configured to be coupled to the at least one fluid vibration sensing unit and the one or more display units. The control unit is configured to detect a condition from the respective location using the at least one fluid vibration sensing unit and communicate to at least one or more display units to provide a display of the condition. A meter with a fluid monitoring system is also provided.

A fluid monitoring system is provided, which includes at least one fluid vibration sensing unit to provide at least one fluid vibration signal from at least one location on a measuring chamber of a meter to be monitored. The system also includes one or more display units, and a control unit configured to be coupled to the at least one fluid vibration sensing unit and the one or more display units. The control unit is configured to detect a condition from the respective location using the at least one fluid vibration sensing unit and communicate to at least one or more display units to provide a display of the condition. A meter with a fluid monitoring system is also provided.