32 results about "Discharge measurements" patented technology

The invention discloses a gas-liquid two-phase flow measurement method based on a bent pipe and an acoustic emission technology, and belongs to the field of gas-liquid two-phase flow measurement. The method comprises the steps that the average liquid holdup HL of two-phase flow in a pipeline is measured, and the instantaneous speed Vc of a gas phase and a liquid phase passing through the 45-degree section of the bent pipe is calculated; identifying a gas-liquid two-phase flow pattern in the pipeline; taking the Vc, the HL, the apparent liquid velocity VSL and the apparent gas velocity VSG as variables, and adopting a dimensional analysis method to propose a correlation between the Vc and the VSL and between the HL and the VSL and between the VSL and the VSG according to different flow patterns; calculating an effective voltage value RMS of the acoustic emission signal, and establishing a correlation between the RMS and the VSL and VSG; fitting parameters in the correlation formula; newly collected Vc, HL and RMS are input into the fitted correlation formula, VSL and VSG are output, and therefore measurement of the gas-liquid two-phase flow is completed. Compared with a single-phase metering method after separation commonly used in the oil and gas industry, the device has the advantages of being simple in structure, low in measurement cost, capable of achieving real-time measurement, non-invasive and the like.

An object of the present invention is to provide a flow velocity measuring system in which a sensor is not in contact with water and which can measure a flow velocity of water with a simple configuration. Another object of the present invention is to provide a novel flow rate measurement system capable of measuring a flow rate of water based on the flow velocity.SOLUTION: The flow velocity measuring system includes a drainage pipe, a distance sensor, and a measuring unit, the drainage pipe being capable of discharging water from a water discharge port in a horizontal direction, the distance sensor being disposed at an arbitrary position facing the water discharge port at a horizontal distance D and a vertical distance Y from the water discharge port and being capable of detecting a horizontal distance Xo from the water discharge port to water, the measurement means is capable of measuring the flow velocity Vo of the water discharged from the water discharge port from Xo, D, Y, and the gravitational acceleration g.SELECTED DRAWING: Figure 1

The invention provides a self-adaptive dual-mode flow metering device and method for a riverway ecological water replenishing recharge well, and relates to the technical field of hydrological monitoring. The device monitors the water level in the well in real time by arranging a second water level sensor, and a control unit intelligently judges whether the current recharge working condition is a water falling working condition or a full pipe flow working condition according to the water level information; further, a volume method or a flow velocity method is autonomously selected for flow measurement, and continuous, accurate and automatic monitoring of the flow under the full-working-condition operation condition of the recharge well is achieved; under the water drop working condition, the electric on-off valve is closed to accumulate water flow in the cylindrical measuring cylinder, and the average flow is calculated based on the water level in the cylinder measured by the first water level sensor; under the full pipe flow working condition, the valve is kept open, and the instantaneous flow is calculated based on the section average flow velocity measured by the Doppler flow meter; and due to automatic switching of the two modes, the reliability and adaptability of flow monitoring of the recharge well in a complex dynamic environment are remarkably improved.

The present application relates to sewage treatment technical field, specifically to a kind of weir gate water flow measurement method.The method measures the liquid level before weir gate, flow rate, the opening height of weir gate and the flow rate after water flow through weir gate, by measuring these more accurate data, avoid the flow rate of directly measuring weir gate water flow in traditional measurement, due to the existence of liquid level collapse and flow rate fluctuation, inaccurate condition, and these accurate data are calculated, more accurate measurement results can be obtained.The method of the present application overcomes the limitation that the traditional flow measurement must be straight inlet channel, can be applied to the application scene that water flow inlet channel has no straight pipe section and water flow changes greatly, has wide application range, compared with traditional measurement method, measurement error is reduced from about 20% to about 5%, greatly improves the precision of measurement, has important guiding significance for subsequent process control and reagent dosage in sewage treatment process.

This application relates to an adaptive correction method and system for flow measurement parameters in approximate standard open channels. The method constructs a basic flow model based on the target channel design parameters, and calculates the theoretical basic flow based on water depth and water level difference. Under different operating conditions, water depth, water level difference, and corresponding high-precision reference flow are collected to obtain the theoretical basic flow. The channel is then divided into several water depth intervals according to the water depth range, and a dynamic correction function for each interval is fitted based on the calibration data of each interval. During operation, real-time water depth and water level difference are collected, and the real-time theoretical basic flow is obtained using the basic flow model. Then, the target interval is selected according to the current water depth, and the corresponding dynamic correction function is called for correction to obtain the actual flow, which is then output. This application effectively reduces the system deviation between the theoretical model and actual operating conditions without increasing the complexity of hardware, achieving high-precision flow measurement under different water depths and water level differences, and improving the accuracy and applicability of flow measurement.

This application relates to the field of flow measurement technology, specifically to a bridge-type flow measurement method, device, and system based on real-time water level triggering. The method includes: acquiring the water level at a flow monitoring point in real time and determining whether a measurement command is triggered; when triggered, acquiring echo signals from multiple measurements; based on the significance of local peaks, signal strength, irregularity, bandwidth in the frequency domain, and high-frequency energy attenuation of the echo signals from each measurement, and combined with the difference between the frequency of the echo signals and the frequency of the transmitted signals, constructing usable coefficients for each measurement; thereby filtering usable signals from all echo signals after the current measurement command is triggered, and calculating the river flow at the flow monitoring point at the time the measurement command is triggered. This application improves the accuracy of river flow measurement by filtering echo signals containing more river flow information from all measurement echo signals.

The application provides a sensor-based water level and flow data processing method and system, relates to the technical field of hydrological monitoring data processing, integrates water level data, flow velocity profile data, acoustic echo feature data and water turbidity data, determines that the water body is in a high turbidity state when the water turbidity is continuously higher than a preset threshold and the water level and flow velocity change amplitude is low, deeply analyzes the acoustic echo feature data, and generates a reliability score of the flow velocity data of each depth layer in the flow velocity profile. The reliability score is used for weighted processing of the flow velocity data, low reliability data is corrected or replaced, and finally the cross-section average flow velocity is calculated based on the weighted processed flow velocity data, and the instantaneous flow is obtained by combining the cross-section area. The application overcomes the defects of data processing logic modularization and lack of cross-sensor data cross-validation in the prior art, and significantly improves the flow measurement accuracy and reliability of the hydrological monitoring system under complex water quality conditions.

The invention discloses a water conservancy flood control pipeline flow measurement method based on image recognition and multi-source perception. According to the method, an intelligent data fusion algorithm is adopted, the problems of overflowing area errors and uneven flow velocity distribution caused by sedimentation are dynamically corrected, and the precision, reliability and environmental adaptability of flow measurement of the drainage pipeline under the complex working condition are remarkably improved. In the whole measurement process, no personnel need to enter the pipeline, and effective technical equipment is provided for urban flood control and intelligent management of a drainage pipe network.

The invention relates to the technical field of flow measurement, and discloses a flow measuring device and method suitable for small ditches, comprising a device body, the top of the device body is connected with a water pumping device, the lower part of the water pumping device is connected with a speed measuring tube, the side of the device body is connected with a laser range finder, and one side of the front of the device body is provided with scales. The speed measuring tube is clamped beside the scale of the device body, and the tail end of the speed measuring tube is bent towards the scale direction. Compared with a propeller / rotating cup type flow meter which is widely used at present, the device is a flow measurement tool developed according to the hydraulic Bernoulli principle, the structure is simple, no complex mechanical and electronic structure exists, the manufacturing and later maintenance cost is reduced, the flow velocity and the water channel section can be measured at the same time through the device, the field flow measurement efficiency is improved, and the device is suitable for popularization and application. The flow measurement duration is shortened, and the flow measurement timeliness is ensured.

The present disclosure provides a method (400) and a system (210) for correcting flowrate measurements of a flowmeter (130). The method comprises receiving at least one of flow' distorting parameters, flowmeter physical and operational parameters, a current flowrate value measured by the flowmeter, and fluid physical properties. Hie method may further comprise determining a flow' regime based on the current flowrate value; and selecting at least one flow equation based on the determined flow regime. The method may further comprise computing an output signal based on the selected flow equation and at least one of electromagnetic equations and / or physics-based equations, the flow distorting parameters, the flowmeter physical and operational parameters, and the fluid physical properties. The method may further comprise determining a corrected calibration factor using the computed output signal and the current flowrate value and transmitting the corrected calibration factor for correcting flowrate measurement of the flowmeter.

A water meter is provided with: a measurement flow path (10) through which water, which is a fluid to be measured, flows; a flow rate measurement unit (21) that measures the instantaneous flow rate of water flowing through the measurement flow path (10); a flow rate pattern storage unit (24) that stores a first flow rate pattern indicating the change over time of the measurement value when the flow rate is zero; a water leakage determination unit (25) that determines the presence or absence of water leakage on the basis of a second flow rate pattern indicating the change over time of the measurement value obtained by the flow rate measurement unit (21) and the first flow rate pattern stored in the flow rate pattern storage unit (24); a display unit (26) that displays predetermined information when the water leakage determination unit (25) determines that there is a water leakage; and a meter communication unit (27) for notifying a center device (80) that manages the water leakage of the occurrence of the water leakage.

The application relates to the technical field of intelligent water monitoring, and discloses a flow measurement data verification method based on abnormal water use analysis, which comprises the following steps: deploying an intelligent sensor network comprising a flow meter, a pressure gauge and a thermometer, collecting multi-source data of abnormal water flow state and performing phase-amplitude decoupling processing to generate a feature matrix containing flow state correlation information; establishing a multi-layer probability field model, converting error components into measurement error probability clouds, constructing an error back propagation path and designing cascade compensation parameters; correcting the probability clouds by using a gradient optimization algorithm, combining deep learning technology to enhance the probability convergence field and determining a standard flow value; tracking and analyzing the error propagation link and the attenuation coefficient spectrum to establish an error convergence boundary and output a flow correction result; and finally combining environmental state detection to construct an abnormal verification feature spectrum, completing comprehensive verification of the flow measurement data, effectively improving the detection accuracy of the abnormal water flow state, and improving the accuracy and reliability of flow measurement.

The application discloses a parameter fusion flow measuring method and device of a multi-channel ultrasonic time difference method flowmeter, relates to the river flow monitoring field, and comprises the following steps: acquiring the receiving time, water temperature, sand content index, near-shore propeller flow velocity and actual water level collected by an ultrasonic transducer; acquiring irregular flow cross-section data and area-water level relationship calculation; adjusting the working frequency of the ultrasonic transducer in real time according to the sand content index, so as to ensure that the sound path is in a normal working state; establishing different water level flow velocity calculation models, calculating the average flow velocity of each sound path representative layer at different water levels, and improving the average flow velocity accuracy; combining the area-water level equation, calculating the flow area of each sound path representative layer, finally calculating the flow of all sound path representative layers, and accumulating the river channel average flow. The application greatly improves the flow velocity, flow measurement precision and reliability in irregular, large cross-section and deep river water areas through real-time detection of the parameters and multi-parameter fusion calculation.

The invention discloses a silt grading and concentration real-time online monitoring device, and belongs to the technical field of water quality monitoring. Aiming at the problems of long time consumption, insufficient precision and poor representativeness of the existing sediment measurement method, a multi-point water level diversion sampling device is adopted to collect water samples from different depths and positions, and the sampling representativeness is ensured in cooperation with a flow velocity sensor; setting a sapphire glass detection window to maintain optical clarity; dynamically adjusting laser power through a laser scattering particle size analysis system and calculating particle size distribution based on a Mie scattering theory; monitoring the flow in real time by using a flow measurement module, and synchronously calculating the concentration in combination with scattering data; an automatic cleaning function module is configured to remove attachments, and an environment adaptation protection module provides anti-abrasion and anti-pollution protection. The real-time online monitoring of sediment grading and concentration is realized, and the method is suitable for water quality monitoring, equipment efficiency evaluation and environmental protection in the fields of hydroelectric generation, water supply systems, sewage treatment plants and environmental monitoring.

The application discloses a pipeline flow measurement method and system and a storage medium. The pipeline flow measurement method comprises the following steps: obtaining the water level height of the liquid surface in a sewer pipeline; judging whether the water level height is greater than a preset value; when the water level height is less than the preset value, using a non-contact measurement method to measure the actual water level height and the water flow velocity, and when the water level height is greater than the preset value, using a contact measurement method; and calculating the pipeline flow of the sewer pipeline according to the actual water level height and the water flow velocity. In the foregoing manner, the water level height of the liquid surface in the sewer pipeline is first obtained, and a non-contact measurement method is used, so that the influence of the water quality, silt and garbage in the sewer pipeline can be effectively avoided, the water level height of the liquid surface is judged, and different measurement methods are adopted for the full-pipeline state when the water level height is greater than the preset value and the non-full-pipeline state when the water level height is less than the preset value, so that the accuracy of the measurement of the water level height of the liquid surface in the sewer pipeline and the water flow velocity is improved.

This invention discloses a verification method and apparatus for a flow measurement system. The verification method includes the following steps: a flow-transfer system delivers water to the flow measurement system according to a preset water delivery value; real-time measurement values ​​of the flow meters in the flow measurement system are obtained; the preset water delivery value is compared with the real-time measurement values ​​to obtain a comparison verification result. The technical solution of this invention allows the flow-transfer system to directly deliver water to the flow measurement system, enabling the rapid establishment of a stable water delivery flow rate to verify the flow measurement system during the verification process, thus shortening the verification cycle.

The invention relates to the technical field of intelligent water affair monitoring, and discloses a flow measurement data verification method based on abnormal water consumption analysis, and the method comprises the steps: collecting the multi-source data of an abnormal water flow state through deploying an intelligent sensor network comprising a flowmeter, a pressure gauge and a thermometer, and carrying out the phase-amplitude decoupling processing; generating a feature matrix containing flow state association information; establishing a multilayer probability field model, converting an error component into a measurement error probability cloud, constructing an error back propagation path and designing a cascade compensation parameter; correcting the probability cloud by adopting a gradient optimization algorithm, enhancing a probability convergence field in combination with a deep learning technology, and determining a standard traffic value; establishing an error convergence boundary and outputting a flow correction result through error propagation link tracking and attenuation coefficient spectrum analysis; and finally, an abnormal verification characteristic spectrum is constructed in combination with environment state detection, comprehensive verification of flow measurement data is completed, the detection precision of the abnormal water flow state is effectively improved, and the accuracy and reliability of flow measurement are improved.

The application belongs to the technical field of water flow velocity measurement, and provides a water surface flow velocity measurement method under severe weather conditions, which comprises a first radio frequency chip and a second radio frequency chip, the first radio frequency chip emits a first electromagnetic wave to the water surface and receives a return signal of the first electromagnetic wave reflected by the water surface, the second radio frequency chip emits a second electromagnetic wave to the unobstructed sky and receives a return signal of the second electromagnetic wave, a master control chip uses the return signal of the second electromagnetic wave as a local oscillator signal of the first electromagnetic wave, performs frequency mixing, and obtains a Doppler frequency shift signal of the first electromagnetic wave with respect to the water surface after low-pass filtering, so as to obtain flow velocity information of the water surface. The method can improve the accuracy and reliability of the millimeter wave radar flow meter in wind and rainy weather conditions, reduce the influence of wind and rain on the millimeter wave radar flow velocity and flow measurement, and according to the method, a device is designed, which can measure real water flow velocity data.

The application discloses a flow measurement correction method and device in a strong wind environment, wherein the method firstly constructs a multi-source time sequence flow measurement data set and carries out pretreatment; a composite feature vector is constructed based on the same, input into a multi-source flow speed adaptive fusion model based on a dynamic weighted fusion network, and a predicted surface flow speed is output, then a composite loss function containing an observation error and a hydrodynamic physical constraint is constructed, and end-to-end training is carried out on the model; finally, real-time collected flow measurement data and environmental parameters are input into the trained multi-source flow speed adaptive fusion model, a corrected stable surface flow speed in the strong wind environment is obtained, and combined with real-time measured cross-section water level and pre-acquired river channel geometric parameters, final cross-section flow monitoring values are calculated and output based on a hydraulics flow speed area method, and the application improves the accuracy of flow estimation, and can provide stable data support for long-term, continuous and reliable flow monitoring in the strong wind environment.

The invention provides an open channel rapid water measuring method based on an open channel wake flow effect, and belongs to the field of channel excess flow calculation. According to an actual channel in an irrigation area, it is proved that section vertical flow velocity distribution meets a logarithmic wake flow function form, reasonable selection of a wake flow intensity coefficient value is determined, and the flow rate of the actual channel is calculated; a new open channel flow calculation method, namely a point-surface conversion method, is provided based on a flow velocity distribution rule. The limitation of a traditional flow measurement method is overcome, and the flow calculation process is simplified by establishing the linear relation between the flow velocity of the wake flow intersection point and the average flow velocity of the section; by means of the point-plane conversion method, on the premise that the precision is guaranteed, the number of measurement points is greatly reduced, the flow measurement efficiency is improved, and a more efficient and more accurate solution is provided for flow measurement of the irrigation area open channel.

The invention relates to the technical field of crossing of satellite gravity mechanics and hydrology, in particular to a runoff estimation method based on remote sensing data screening and error analysis, which comprises the following steps of: 1, constructing a novel remote sensing data screening method by fusing an effective pixel proportion and a cloud index method in a river reach range; the filtering module is used for filtering the data set to obtain a high-quality data subset and estimating the accuracy of model input parameters by runoff; 2, estimating the effective river reach width of a long-time sequence by utilizing a novel remote sensing data screening method and fusing a water body extraction method and a hydraulic geometrical relationship, and calculating the effective river reach width of the long-time sequence by combining a corrected grade curve method, an improved manning equation and a Bjerklie equation; the river runoff is estimated through the river surface hydraulic variable directly obtained from the remote sensing data set and the variable indirectly obtained from the empirical equation, the river runoff measurement information can be improved, and key data support is provided for more comprehensive understanding of water resource management and climate adaptation.

This invention discloses a differential ultrasonic water meter and its measurement method, belonging to the field of ultrasonic flow measurement technology. It discloses a measuring pipe section, with a first transducer pair installed in a first flow channel, including a first transducer A and a second transducer B arranged opposite each other on the inner wall of the measuring pipe section. The first transducer A and the second transducer B are arranged opposite each other along the upstream to downstream direction of the water flow. A second transducer pair is installed in a second flow channel, including a third transducer C and a fourth transducer D on the inner wall of the measuring pipe section. The third transducer C and the fourth transducer D are arranged opposite each other along the upstream to downstream direction of the water flow and are symmetrically distributed with the first transducer A and the second transducer B on the cross-section of the measuring pipe section. These transducers are used to alternately transmit and receive ultrasonic waves to collect the second downstream propagation time and the second upstream propagation time. The main application is water flow measurement.

A device (100, 200, 300, 400) for measuring the flow rate of a fluid medium comprises a closed measuring vessel (3) with an inlet opening (31) that defines an inlet direction (E) for the fluid medium, and with an outlet opening (39) oriented in a discharge direction (A) for discharging the fluid medium, and a measuring body (5) that is linearly movable in the discharge direction (A) in the measuring vessel (3), wherein the fluid medium is guided from the inlet opening (31) through the measuring body (5) to the outlet opening (39) and undergoes a deflection from the inlet direction (E) to the discharge direction (A) in the area of ​​the measuring body (5).

A stream discharge measuring system for a water canal (300) is disclosed. It comprises a Measuring Unit [MU] (100) and a Data Processing Unit [DPU] (400), optionally integrated into a single device or communicating via data and power link (450). The MU (100) comprises at least one rotating scanning LIDAR (10) for scanning a riverbed surface (210) of the water canal (300), one FMCW radar (20) for determining the precise position of the water surface (310) below the measuring unit (100), and at least one Doppler Radar (30) for scanning the water surface (310) displacement. The use of FMCW radar (20) enables the precise determination of the relative water surface (310) position to the MU (100) which enhances distinguishing, considering time-of-flight and the emission angle of the laser ray (11), laser reflections from the riverbed surface (210) which is, or which is not submerged in the water canal (300).

The present disclosure relates to the measurement of wastewater flow within a conduit using level sensor data in combination with geometric characteristics of the bottom interior surface of the conduit. These geometric characteristics are derived from data obtained using a physical measurement tool, such as a scanner. Using these inputs, flow rate can be determined without requiring confined-space entry or invasive flow instrumentation. The disclosed technology enables technically robust and automated flow measurement by integrating physically obtained wastewater level data with spatially resolved geometric data. This approach allows for accurate application of hydraulic measurement tailored to the specific physical configuration of the conduit. The system accommodates irregular or non-standard conduit geometries and provides a platform for continuous or periodic flow determination with reduced reliance on submerged or contact-based instrumentation.

This water leakage detection system is provided with a flow meter that includes: a flow rate measuring unit that measures the flow rate of water in a measurement flow passage on the basis of the propagation time of ultrasonic waves; a storage unit that stores, as water usage pattern information for each employed device, information that has been repeated a prescribed number of times, among information indicating the instantaneous flow rate of water measured by the flow rate measuring unit and the water usage time, using a prescribed period after the installation of the flow meter as a learning period; and a water pressure change rate estimating unit that estimates, as a rate of change in water pressure in a flow passage of a water supply network, the ratio of the average value of the instantaneous flow rate for the employed devices over a prescribed period to a prescribed instantaneous flow rate reference value, in accordance with the result of a comparison between the instantaneous flow rate and the usage time when water is being used, and the water usage pattern information for the employed devices, stored in the storage unit.

The present disclosure relates to the measurement of wastewater flow within a conduit using level sensor data in combination with geometric characteristics of the bottom interior surface of the conduit. These geometric characteristics are derived from data obtained using a physical measurement tool, such as a scanner. Using these inputs, flow rate can be determined without requiring confined-space entry or invasive flow instrumentation. The disclosed technology enables technically robust and automated flow measurement by integrating physically obtained wastewater level data with spatially resolved geometric data. This approach allows for accurate application of hydraulic measurement tailored to the specific physical configuration of the conduit. The system accommodates irregular or non-standard conduit geometries and provides a platform for continuous or periodic flow determination with reduced reliance on submerged or contact-based instrumentation.

A flow measurement apparatus can include a main flow passage, a variable flow restrictor, a bypass flow passage having an inlet connected with the main flow passage upstream of the variable flow restrictor and an outlet connected with the main flow passage downstream of the variable flow restrictor, and a mass flowmeter connected in the bypass flow passage between the inlet and the outlet. A method can include connecting a flow measurement apparatus, so that a fluid flow in a well also flows through the flow measurement apparatus, and varying a restriction to the fluid flow through the variable flow restrictor in response to a change in a flow rate of the fluid flow.